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ORCIDCoRR, September 2018
- Minjia Shi, Rongsheng Wu, Denis S. Krotov:
On ZpZpk-additive codes and their duality. - David Alvarez-Melis, Tommi S. Jaakkola:
Gromov-Wasserstein Alignment of Word Embedding Spaces. - Subrata Sarkar, Alyson K. Fletcher, Sundeep Rangan, Philip Schniter:
Bilinear Recovery using Adaptive Vector-AMP. - Paul Mireault:
Implementing WHERE and ORDER BY as spreadsheet formulas. - Suwen Lin, Louis Faust, Pablo Robles-Granda, Nitesh V. Chawla:
Social Network Structure is Predictive of Health and Wellness. - Stefanie Tellex, Andy Brown, Sergei Lupashin:
Estimation for Quadrotors. - Zhe Yu, Tim Menzies:
Total Recall, Language Processing, and Software Engineering. - Ethan Wilcox, Roger Levy, Takashi Morita, Richard Futrell:
What do RNN Language Models Learn about Filler-Gap Dependencies? - Bin Han, Antonio De Domenico, Ghina Dandachi, Anastasios Drosou, Dimitrios Tzovaras, Roberto Querio, Fabrizio Moggio, Ömer Bulakci, Hans D. Schotten:
Admission and Congestion Control for 5G Network Slicing. - Yuxuan Yuan, Kaveh Dehghanpour, Fankun Bu, Zhaoyu Wang:
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability. - Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Fankun Bu:
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation. - Niki Gitinabard, Farzaneh Khoshnevisan, Collin F. Lynch, Elle Yuan Wang:
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features. - Sergey Loyka:
On The Capacity of Gaussian MIMO Channels Under The Joint Power Constraints. - Kaveh Dehghanpour, Zhaoyu Wang, Jianhui Wang, Yuxuan Yuan, Fankun Bu:
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems. - Yu Qing Zhou, Ga Wu, Scott Sanner, Putra Manggala:
Aesthetic Features for Personalized Photo Recommendation. - Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard:
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. - Siwakorn Srisakaokul, Zexuan Zhong, Yuhao Zhang, Wei Yang, Tao Xie:
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. - Yova Kementchedjhieva, Adam Lopez:
Indicatements that character language models learn English morpho-syntactic units and regularities. - Wei Wang, Taro Watanabe, Macduff Hughes, Tetsuji Nakagawa, Ciprian Chelba:
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection. - Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). - Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. - Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. - Wenbo Dong, Pravakar Roy, Volkan Isler:
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows. - Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood:
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. - Andreas Bärtschi, Daniel Graf, Matús Mihalák:
Collective fast delivery by energy-efficient agents. - Ishtar Nyawira, Kristi Bushman, Iris Qian, Annie Zhang:
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data. - Ishtar Nyawira, Kristi Bushman:
A Simplified Approach to Deep Learning for Image Segmentation. - Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. - Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein:
Eliminating Boundaries in Cloud Storage with Anna. - Allan Zhou, Anca D. Dragan:
Cost Functions for Robot Motion Style. - Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust 3D Distributed Formation Control with Application to Quadrotors. - Mikolaj Morzy, Tomasz Kajdanowicz:
Entropy and Graph Energy of Complex Networks. - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Learning Low Precision Deep Neural Networks through Regularization. - Kaveh Fathian, Emily A. Doucette, J. Willard Curtis, Nicholas R. Gans:
Vision-Based Distributed Formation Control of Unmanned Aerial Vehicles. - Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li, Bowen Du, Liang Lin:
Attentive Crowd Flow Machines. - Ian Lundberg, Arvind Narayanan, Karen Levy, Matthew J. Salganik:
Privacy, ethics, and data access: A case study of the Fragile Families Challenge. - Zhanming Jie, Wei Lu:
Dependency-based Hybrid Trees for Semantic Parsing. - Hossein Rastgoftar, Ella M. Atkins:
Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments. - Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. - Sebastian Angel, David Lazar, Ioanna Tzialla:
What's a little leakage between friends? - Farnaz Sheikhi, Sharareh Alipour:
On Triangluar Separation of Bichromatic Point Sets in Polygonal Environment. - Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. - Behnam Dezfouli, Vahid Esmaeelzadeh, Jaykumar Sheth, Marjan Radi:
A Review of Software-Defined WLANs: Architectures and Central Control Mechanisms. - Felix Stahlberg, James Cross, Veselin Stoyanov:
Simple Fusion: Return of the Language Model. - Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. - Ming Ding, Jie Tang, Jie Zhang:
Semi-supervised Learning on Graphs with Generative Adversarial Nets. - Carsten Lutz, Inanç Seylan, Frank Wolter:
The Data Complexity of Ontology-Mediated Queries with Closed Predicates. - Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Case Prioritization Using Test Similarities. - Anagi Gamachchi, Li Sun, Serdar Boztas:
A Graph Based Framework for Malicious Insider Threat Detection. - Alireza Haghighatkhah, Mika Mäntylä, Markku Oivo, Pasi Kuvaja:
Test Prioritization in Continuous Integration Environments. - Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard:
Why is unsupervised alignment of English embeddings from different algorithms so hard? - Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. - Marcin Waniek, Kai Zhou, Yevgeniy Vorobeychik, Esteban Moro, Tomasz P. Michalak, Talal Rahwan:
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network. - Renato Marroquín, Ingo Müller, Darko Makreshanski, Gustavo Alonso:
Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Hypergraph Modeling and Visualisation of Complex Co-occurence Networks. - Meghdad Ghari:
Linear Temporal Justification Logics with Past Operators. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Implications of Ocular Pathologies for Iris Recognition Reliability. - Mateusz Trokielewicz:
Linear regression analysis of template aging in iris biometrics. - Norbert Bátfai
, Dávid Papp, Renátó Besenczi, Gergo Bogacsovics, Dávid Veres:
Benchmarking Cognitive Abilities of the Brain with Computer Games. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Human Iris Recognition in Post-mortem Subjects: Study and Database. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes. - Marcin Junczys-Dowmunt, Roman Grundkiewicz:
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing. - Andry Alamsyah, T. T. Gustyana, A. D. Fajaryanto, D. Septiafani:
Open Data Analytical Model for Human Development Index Optimization to Support Government Policy. - Xavier Ouvrard, Jean-Marie Le Goff, Stéphane Marchand-Maillet:
Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships. - Tianyang Wang, Jun Huan, Bo Li:
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. - Marcin Junczys-Dowmunt:
Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data. - Marcin Junczys-Dowmunt:
Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora. - Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Assessment of iris recognition reliability for eyes affected by ocular pathologies. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-mortem Human Iris Recognition. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Cataract influence on iris recognition performance. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes. - Mateusz Trokielewicz, Mateusz Szadkowski:
Iris and periocular recognition in arabian race horses using deep convolutional neural networks. - Mateusz Trokielewicz:
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera. - Lucas Schelkes:
Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials. - Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang:
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. - Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
A Multilingual Information Extraction Pipeline for Investigative Journalism. - Carlos Vega, Eduardo Miravalls-Sierra, Guillermo Julián-Moreno, Jorge E. López de Vergara, Eduardo Magaña, Javier Aracil:
Evaluation of the performance challenges in automatic traffic report generation with huge data volumes. - Jack Parry:
Finding the Answers with Definition Models. - Zongji Wang, Feng Lu:
VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes. - Anagi Gamachchi, Serdar Boztas:
Insider Threat Detection Through Attributed Graph Clustering. - Peng Yang, Ning Zhang, Shan Zhang, Li Yu, Junshan Zhang, Xuemin Shen:
Content Popularity Prediction Towards Location-Aware Mobile Edge Caching. - Serife Acikalin, Süleyman Eken, Ahmet Sayar:
Sleep Stage Classification: Scalability Evaluations of Distributed Approaches. - Süleyman Eken, Eray Aydin, Ahmet Sayar:
Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI. - Yasser Alsouda, Sabri Pllana, Arianit Kurti:
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities. - Ankit Shah, Harini Kesavamoorthy, Poorva Rane, Pramati Kalwad, Alexander G. Hauptmann, Florian Metze:
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset. - Tatiana Lisitskaya, Pavel Taranov, Ekaterina Ugnich, Vladimir Pislyakov:
Pillar Universities in Russia: The Rise of "the Second Wave". - Leonardo León, Felipe Moreno, Renato Castro, José Navío, Marco Capcha:
Car Monitoring System in Apartment Garages by Small Autonomous Car using Deep Learning. - Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. - Yogatheesan Varatharajah, Brent M. Berry, Sanmi Koyejo, Ravishankar K. Iyer:
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. - Qiangeng Xu, Hanwang Zhang, Weiyue Wang, Peter N. Belhumeur, Ulrich Neumann:
Stochastic Video Long-term Interpolation. - Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu:
Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation. - Soumyottam Chatterjee, Gopal Pandurangan, Peter Robinson:
The Complexity of Leader Election: A Chasm at Diameter Two. - Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-grained Classification. - Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. - F. Richard Yu:
vDLT: A Service-Oriented Blockchain System with Virtualization and Decoupled Management/Control and Execution. - Benjamin Narin, Makenzie Brian, William D. Smart:
A Critical Look at Smart Wheelchairs. - Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Towards Automated Customer Support. - Songyang Zhang:
Congestion Control for RTP Media: a Comparison on Simulated Environment. - Amit Agarwal, Brijraj Singh, Jatin Bedi, Durga Toshniwal:
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. - Moslem Forouzesh, Paeiz Azmi, Ali Kuhestani:
Secure transmission with covert requirement in untrusted relaying networks. - Mikel L. Forcada, Carolina Scarton, Lucia Specia, Barry Haddow, Alexandra Birch:
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. - Xianfu Chen, Celimuge Wu, Mehdi Bennis, Zhifeng Zhao, Zhu Han:
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective. - Chien-Chun Ni, Yu-Yao Lin, Jie Gao, Xianfeng David Gu:
Network Alignment by Discrete Ollivier-Ricci Flow. - Yafang Huang, Hai Zhao:
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet. - Célestin Coquidé, José Lages, Dima Shepelyansky:
World influence and interactions of universities from Wikipedia networks. - Bingzhen Wei, Junyang Lin:
Future-Prediction-Based Model for Neural Machine Translation. - Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. - Motiur Rahman, Nabeel Mohammed, Nafees Mansoor, Sifat Momen:
Chittron: An Automatic Bangla Image Captioning System. - Somnath Rakshit, Soumyadeep Debnath, Dhiman Mondal:
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning. - Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. - Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. - Darío Garigliotti, Krisztian Balog:
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents. - Ravi M. Vishwanath, Saumya Kumaar Saksena, S. N. Omkar:
A Real-time Control Approach for Unmanned Aerial Vehicles using Brain-computer Interface. - Elizabeth A. Amusan, Justice Emuoyibofarhe, Tayo O. Arulogun:
Development of a Medical Tele-Management System for Post-Discharge Patients of Chronic Diseases in Resource-Constrained Settings. - Anamika Chhabra, Sudarshan Iyengar:
Capturing Knowledge Triggering in Collaborative Settings. - Tom Kocmi, Ondrej Bojar:
Trivial Transfer Learning for Low-Resource Neural Machine Translation. - Abhaykumar Kumbhar, Hamidullah Binol, Ismail Güvenç, Kemal Akkaya:
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet. - Ankit Shah, Tyler Vuong:
Natural Language Person Search Using Deep Reinforcement Learning. - David Cortes:
Cold-start recommendations in Collective Matrix Factorization. - B. Naveen, Suril Vijaykumar Shah, Arun K. Misra:
Momentum Model-based Minimal Parameter Identification of a Space Robot. - (Withdrawn) On overcoming the Curse of Dimensionality in Neural Networks.
- Yuchen Zhang, Nianwen Xue:
Neural Ranking Models for Temporal Dependency Structure Parsing. - Xenia Bogomolec, Jochen Gerhard:
Post-Quantum Secure Cryptographic Algorithms. - Shourya Pratap Singh, Ankit Kumar Panda, Susobhit Panigrahi, Ajaya Kumar Dash, Debi Prosad Dogra:
PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum. - Markku Suomalainen, Janne Koivumäki, Santeri Lampinen, Ville Kyrki, Jouni Mattila:
Learning from Demonstration for Hydraulic Manipulators. - Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova:
Neural Character-based Composition Models for Abuse Detection. - Rachel M. Bittner, Brian McFee, Juan Pablo Bello:
Multitask Learning for Fundamental Frequency Estimation in Music. - Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. - Paul Michel, Graham Neubig:
MTNT: A Testbed for Machine Translation of Noisy Text. - Igor G. Vladimirov, Ian R. Petersen:
Direct coupling coherent quantum observers with discounted mean square performance criteria and penalized back-action. - Alan Ferrari, Silvia Giordano:
A study on users' privacy perception with smart devices. - Çigdem Aslay, Muhammad Anis Uddin Nasir, Gianmarco De Francisci Morales, Aristides Gionis:
Mining Frequent Patterns in Evolving Graphs. - Alborz Rezazadeh Sereshkeh, Rozhin Yousefi, Andrew T. Wong, Tom Chau:
Online classification of imagined speech using functional near-infrared spectroscopy signals. - Saumya Kumaar Saksena, Arpit Sangotra, Sudakshin Kumar, Mayank Gupta, Navaneethkrishnan B, S. N. Omkar:
Learning to Navigate Autonomously in Outdoor Environments : MAVNet. - Akshita Mittel, Sowmya P. Munukutla, Himanshi Yadav:
Visual Transfer between Atari Games using Competitive Reinforcement Learning. - Alejandro Cartas, Estefanía Talavera, Petia Radeva, Mariella Dimiccoli:
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams. - Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. - Ting Xie, Oliver Kennedy, Varun Chandola:
Query Log Compression for Workload Analytics. - Lakhan Shiva Kamireddy, Dharmik Thakkar, Lakhan Saiteja Kamireddy:
PlayNPort: A Portable Wireless Music Player and Text Reader System. - Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan:
Modeling Topical Coherence in Discourse without Supervision. - Disha Shrivastava, Sreyash Kenkre, Santosh Penubothula:
Hypernyms Through Intra-Article Organization in Wikipedia. - Cheol Jeong, Won-Yong Shin:
Network-Decomposed Hierarchical Cooperation in Ad Hoc Networks With Social Relationships. - Olga Krestinskaya, Akshay Kumar Maan, Alex Pappachen James:
Programmable Memristive Threshold Logic Gate Array. - Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang:
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition. - Jilin Mei, Biao Gao, Donghao Xu, Wen Yao, Xijun Zhao, Huijing Zhao:
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning. - Shiwen He, Chenhao Qi, Yongming Huang, Qi Hou, Arumugam Nallanathan:
Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks. - Wenchao Du, Alan W. Black:
Data Augmentation for Neural Online Chat Response Selection. - Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. - Wei Bi, Huawei Yang, Maolin Zheng:
An Accelerated Method for Message Propagation in Blockchain Networks. - Yang Yang, Ying Zhang, Wenjie Zhang, Zengfeng Huang:
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. - Maxime Bombar, Alexander Fish:
Delocalisation of one-dimensional marginals of product measures and the capacity of LTI discrete channels. - Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang:
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. - Stefan Marksteiner:
Reasoning on Adopting OPC UA for an IoT-Enhanced Smart Energy System from a Security Perspective. - Stefan Marksteiner:
Smart Ticket Protection: An Architecture for Cyber-Protecting Physical Tickets Using Digitally Signed Random Pattern Markers. - Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Automated Machine Learning Service Composition. - Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Boliang Lin:
Prediction of Electric Multiple Unit Fleet Size Based on Convolutional Neural Network. - Diego Esteves, Aniketh Janardhan Reddy, Piyush Chawla, Jens Lehmann:
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
LRS3-TED: a large-scale dataset for visual speech recognition. - Ransalu Senanayake, Fabio Ramos:
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. - Yi Yu, Samuel Beuret, Donghuo Zeng, Keizo Oyama:
Deep Learning of Human Perception in Audio Event Classification. - Eugene Goldberg:
Improving Convergence Rate Of IC3. - José A. Alonso-Jiménez, Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz, María Magdalena Fernández-Lebrón, María-José Hidalgo-Doblado:
A logic-algebraic tool for reasoning with Knowledge-Based Systems. - Aniketh Janardhan Reddy, Gil Rocha, Diego Esteves:
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention. - Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat:
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. - Qun Song, Chaojie Gu, Rui Tan:
Deep Room Recognition Using Inaudible Echos. - Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. - Anca Dumitrache, Lora Aroyo, Chris Welty:
Crowdsourcing Semantic Label Propagation in Relation Classification. - Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins:
Multilingual Clustering of Streaming News. - Matej Petkovic, Redouane Boumghar, Martin Breskvar, Saso Dzeroski, Dragi Kocev, Jurica Levatic, Luke Lucas, Aljaz Osojnik, Bernard Zenko, Nikola Simidjievski:
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. - Fabian Schilling, Julien Lecoeur, Fabrizio Schiano, Dario Floreano:
Learning Vision-based Cohesive Flight in Drone Swarms. - Ben Bogin, Mor Geva, Jonathan Berant:
Emergence of Communication in an Interactive World with Consistent Speakers. - Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu:
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. - Fedor Muratov, Andrei Lebedev, Nikolai Iushkevich, Bulat Nasrulin, Makoto Takemiya:
YAC: BFT Consensus Algorithm for Blockchain. - Amira Ghenai, Yelena Mejova:
Fake Cures: User-centric Modeling of Health Misinformation in Social Media. - Yves Bertot:
Formal Verification of a Geometry Algorithm: A Quest for Abstract Views and Symmetry in Coq Proofs. - Gaku Morio, Katsuhide Fujita:
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture. - Philippe Lemoisson, Stefano A. Cerri:
ViewpointS: towards a Collective Brain. - Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. - Xiusheng Liu, Hualu Liu, Long Yu:
Entanglement-assisted quantum codes from Galois LCD codes. - Christoph Matthies, Arian Treffer, Matthias Uflacker:
Prof. CI: Employing Continuous Integration Services and Github Workflows to Teach Test-driven Development. - Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. - Robert Ganian, Sebastian Ordyniak:
The Complexity Landscape of Decompositional Parameters for ILP. - Liping Zhang, Zongqing Lu, Qingmin Liao:
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. - Daniel Loureiro, Alípio Mário Jorge:
Affordance Extraction and Inference based on Semantic Role Labeling. - Tanguy Kerdoncuff, Rémi Emonet:
IoU is not submodular. - Sanli Tang, Xiaolin Huang, Mingjian Chen, Jie Yang:
Adversarial Attack Type I: Generating False Positives. - Ying Huang, Jiyang Dai, Chen Peng:
Optimization Design of Decentralized Control for Complex Decentralized Systems. - Christoph Matthies, Thomas Kowark, Matthias Uflacker, Hasso Plattner:
Agile Metrics for a University Software Engineering Course. - Antonios Perperidis, Kevin Dhaliwal, Stephen McLaughlin, Tom Vercauteren:
Image computing for fibre-bundle endomicroscopy: A review. - Mingjie Cai, Guangming Lang:
Incremental approaches to updating attribute reducts when refining and coarsening coverings. - Dorjan Hitaj, Luigi V. Mancini:
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques. - Arunesh Mathur, Arvind Narayanan, Marshini Chetty:
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. - Henning Schulzrinne:
Networking Research - A Reflection in the Middle Years. - Denis Efremov, Mikhail U. Mandrykin, Alexey V. Khoroshilov:
Deductive Verification of Unmodified Linux Kernel Library Functions. - Peter Eades, Patrick Healy, Nikola S. Nikolov:
The Weighted Barycenter Drawing Recognition Problem. - Christoph Matthies, Thomas Kowark, Keven Richly, Matthias Uflacker, Hasso Plattner:
ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. - Xavier Timoneda, Albert Cabellos-Aparicio, Dionysios Manessis, Eduard Alarcón, Sergi Abadal:
Channel Characterization for Chip-scale Wireless Communications within Computing Packages. - Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Yinpei Dai, Clare Mansfield, Osman Ramadan, Stefan Ultes, Michael Crawford, Milica Gasic:
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy. - João M. Afonso, Gabriel D. Fernandes, João Pedro Alves Fernandes, Filipe Oliveira, Bruno M. Ribeiro, Rogério Pontes, José N. Oliveira, Alberto J. Proença:
Typed Linear Algebra for Efficient Analytical Querying. - Shanghua Xiao:
Learning Saliency Prediction From Sparse Fixation Pixel Map. - Zhixiang Hao, Yu Li, Shaodi You, Feng Lu:
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks. - Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. - Christoph Matthies, Thomas Kowark, Keven Richly, Matthias Uflacker, Hasso Plattner:
How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. - Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. - Ravi Shankar, Yamini Chandrakar, Radhika Sinha, Ritesh Kumar Mishra:
PEP Analysis of Selective Decode and Forward Protocol over Keyhole Fading. - Mohammad Ashraful Hoque, Hassan Abbas, Tong Li, Yong Li, Pan Hui, Sasu Tarkoma:
Barriers in Seamless QoS for Mobile Applications. - Roman Budylin, Alexey Drutsa, Gleb Gusev, Pavel Serdyukov, Igor Yashkov:
Online Evaluation for Effective Web Service Development. - Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Akiko Aizawa, Kiyoharu Aizawa:
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning. - Jiuniu Wang, Xingyu Fu, Guangluan Xu, Yirong Wu, Ziyan Chen, Yang Wei, Li Jin:
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension. - Andreas Kipf, Thomas Kipf, Bernhard Radke, Viktor Leis, Peter A. Boncz, Alfons Kemper:
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. - Lucas Mol, Narad Rampersad, Jeffrey O. Shallit, Manon Stipulanti:
Cobham's Theorem and Automaticity. - Moitreya Chatterjee, Alexander G. Schwing:
Diverse and Coherent Paragraph Generation from Images. - Tesfamichael Marikos Hagos, Markku Suomalainen, Ville Kyrki:
Segmenting and Sequencing of Compliant Motions. - Nishant Nikhil, Brendan Tran Morris:
Convolutional Neural Networkfor Trajectory Prediction. - Jinhua Du, Jingguang Han, Andy Way, Dadong Wan:
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. - Edith Zavala, Xavier Franch, Jordi Marco:
Adaptive Monitoring: A Systematic Mapping. - Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger:
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. - Alexandra Chronopoulou, Aikaterini Margatina, Christos Baziotis, Alexandros Potamianos:
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. - Berkay Kicanaoglu, Ran Tao, Arnold W. M. Smeulders:
Estimating Small Differences in Car-Pose from Orbits. - Kuan Cheng, Zhengzhong Jin, Xin Li, Ke Wu:
Edit Errors with Block Transpositions: Deterministic Document Exchange Protocols and Almost Optimal Binary Codes. - Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. - Maria Glenski, Greg Stoddard, Paul Resnick, Tim Weninger:
GuessTheKarma: A Game to Assess Social Rating Systems. - Phan-Thuan Do, Thi Thu Huong Tran, Vincent Vajnovszki:
Exhaustive generation for permutations avoiding a (colored) regular sets of patterns. - Leonardo Babun, Amit Kumar Sikder, Abbas Acar, A. Selcuk Uluagac:
IoTDots: A Digital Forensics Framework for Smart Environments. - Maurice S. Fabien, Matthew G. Knepley, Beatrice M. Riviere:
A high order hybridizable discontinuous Galerkin method for incompressible miscible displacement in heterogeneous media. - Chamsi Hssaine, Siddhartha Banerjee:
Information Signal Design for Incentivizing Team Formation. - Kenji Nakagawa, Yoshinori Takei, Kohei Watabe:
Analysis for the Slow Convergence in Arimoto Algorithm. - Myungsu Chae, Tae-Ho Kim, Young Hoon Shin, June-Woo Kim, Soo-Young Lee:
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Weights of Joint Loss. - Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang:
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. - Cides S. Bezerra, Rayson Laroca, Diego Rafael Lucio, Evair Severo, Lucas F. Oliveira, Alceu S. Britto Jr., David Menotti:
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks. - Shu-Hsuan Hsu, I-Chao Shen, Bing-Yu Chen:
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation. - Zhongxi Zhang, Qingguo Li, Nan Zhang:
A characterization of the consistent Hoare powerdomains over dcpos. - Bo Chen, Le Sun, Xianpei Han:
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. - Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li:
Deep Smoke Segmentation. - Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. - Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang, Dacheng Tao:
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. - Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. - Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. - Lin Weng:
Adelic Extension Classes, Atiyah Bundles and Non-Commutative Codes. - Srikumar Krishnamoorthy:
A comparative study of top-k high utility itemset mining methods. - Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Juan Rojas:
Plastic Waste is Exponentially Filling our Oceans, but where are the Robots? - Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. - Oliver Karras:
Software Professionals' Attitudes towards Video as a Medium in Requirements Engineering. - Yiran Wang, Adam Noel, Nan Yang:
A Novel A Priori Simulation Algorithm for Absorbing Receivers in Diffusion-Based Molecular Communication Systems. - Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya:
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services. - Semih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis:
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. - Roberto Bagnara, Abramo Bagnara, Patricia M. Hill:
The MISRA C Coding Standard and its Role in the Development and Analysis of Safety- and Security-Critical Embedded Software. - T.-H. Hubert Chan, Jonathan Katz, Kartik Nayak, Antigoni Polychroniadou, Elaine Shi:
More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting. - Carolin Unger-Windeler, Jil Klünder:
On the Tasks and Characteristics of Product Owners: A Case Study in the Oil & Gas Industry. - Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun:
Improving the Expressiveness of Deep Learning Frameworks with Recursion. - Andrea Esuli, Alejandro Moreo Fernández, Fabrizio Sebastiani:
A Recurrent Neural Network for Sentiment Quantification. - Dan Dai, Zhiwen Yu, Yang Hu, Wenming Cao, Mingnan Luo:
Metabolize Neural Network. - Bhupendra Kumar, Shankar Prakriya:
Framework for Discrete Rate Transmission in Buffer-Aided Underlay CRN With Direct Path. - Tao Li, Minsoo Choi, Kaiming Fu, Lei Lin:
Music Sequence Prediction with Mixture Hidden Markov Models. - Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. - Huanhuan Yu, Menglei Hu, Songcan Chen:
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories. - Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov:
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. - Anthony Hunter:
Non-monotonic Reasoning in Deductive Argumentation. - Prabhat Ram, Pilar Rodríguez, Markku Oivo:
Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study. - Omar Mohammed, Gérard Bailly, Damien Pellier:
Handwriting styles: benchmarks and evaluation metrics. - Siddhartha Kumar, Alexandre Graell i Amat, Eirik Rosnes, Linda Senigagliesi:
Private Information Retrieval From a Cellular Network With Caching at the Edge. - Henk F. Moed:
Assessment and support of emerging research groups. - Xiao Li, Yue Dong, Pieter Peers, Xin Tong:
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks. - Darius Afchar, Vincent Nozick, Junichi Yamagishi, Isao Echizen:
MesoNet: a Compact Facial Video Forgery Detection Network. - Parvez Shaik, Praveen Kumar Singya, Vimal Bhatia:
Error Performance of Various QAM Schemes for Nonrenegerative Cooperative MIMO Network with Transmit Antenna Selection. - Bapi Chatterjee, Sathya Peri, Muktikanta Sa, Nandini Singhal:
A Simple and Practical Concurrent Non-blocking Unbounded Graph with Reachability Queries. - Marie-Morgane Paumard, David Picard, Hedi Tabia:
Image Reassembly Combining Deep Learning and Shortest Path Problem. - Hye Won Chung, Ji Oon Lee, Doyeon Kim, Alfred O. Hero III:
Parity Crowdsourcing for Cooperative Labeling. - Xinge Zhu, Hui Zhou, Ceyuan Yang, Jianping Shi, Dahua Lin:
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation. - M. M. Shaifur Rahman, Mst Shamima Nasrin, Moin Mostakim, Md. Zahangir Alom:
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN). - Remie Janssen, Mark Jones, Steven Kelk, Georgios Stamoulis, Taoyang Wu:
Treewidth of display graphs: bounds, brambles and applications. - Jan Laukemann, Julian Hammer, Johannes Hofmann, Georg Hager, Gerhard Wellein:
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. - Yuhui Yuan, Jingdong Wang:
OCNet: Object Context Network for Scene Parsing. - Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Segmentation-free compositional n-gram embedding. - Mahmoud Barhamgi, Charith Perera, Chirine Ghedira, Djamal Benslimane:
User-centric Privacy Engineering for the Internet of Things. - Hossein Sabzian, Ehsan Kamrani, Seyyed Mostafa Seyyed Hashemi:
A Neural Network Model for Determining the Success or Failure of High-tech Projects Development: A Case of Pharmaceutical industry. - Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao, Ryan J. Visée, Sukhvinder Kalsi-Ryan, José Zariffa:
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home. - Yuqi Cui, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. - Julien Lavauzelle:
Lifted Projective Reed-Solomon Codes. - Hu Ding:
Faster Balanced Clusterings in High Dimension. - Xingyi Song, Johann Petrak, Angus Roberts:
A Deep Neural Network Sentence Level Classification Method with Context Information. - Rosanna Turrisi, Raffaele Tavarone, Leonardo Badino:
Improving generalization of vocal tract feature reconstruction: from augmented acoustic inversion to articulatory feature reconstruction without articulatory data. - Ziliang Lai, Chris Liu, Eric Lo, Ben Kao, Siu-Ming Yiu:
Decentralized Search on Decentralized Web. - Arnold Filtser, Robert Krauthgamer, Ohad Trabelsi:
Noisy Voronoi: a Simple Framework for Terminal-Clustering Problems. - Jerry Li:
Twin-GAN - Unpaired Cross-Domain Image Translation with Weight-Sharing GANs. - Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk:
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. - Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem:
Task adapted reconstruction for inverse problems. - Idris Jeelani, Kevin K. Han, Alex Albert:
Automating Analysis of Construction Workers Viewing Patterns for Personalized Safety Training and Management. - Amirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques:
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera. - Irvin Aloise, Giorgio Grisetti:
Matrix Difference in Pose-Graph Optimization. - Burak Satar, Ahmet Emir Dirik:
Deep Learning Based Vehicle Make-Model Classification. - Laurent Lyaudet:
A class of orders with linear? time sorting algorithm. - Pankaj Raj Roy, Guillaume-Alexandre Bilodeau:
Road User Abnormal Trajectory Detection using a Deep Autoencoder. - Roberto Rey-de-Castro, Herschel Rabitz:
Targeted Nonlinear Adversarial Perturbations in Images and Videos. - Meng Wang, Cong Tian, Nan Zhang, Zhenhua Duan, Chenguang Yao:
Translating C programs to MSVL programs. - Yueyue Wang, Liang Zhao, Zhijian Song, Manning Wang:
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net. - Ram Krishna Pandey, Nabagata Saha, Samarjit Karmakar, A. G. Ramakrishnan:
MSCE: An edge preserving robust loss function for improving super-resolution algorithms. - Albert Fannjiang, Zheqing Zhang:
Blind Ptychography by Douglas-Rachford Splitting. - Xiangyu He, Hong Xing, Yue Chen, Arumugam Nallanathan:
Energy-Efficient Mobile-Edge Computation Offloading for Applications with Shared Data. - V. Madhu Babu, Anima Majumder, Kaushik Das, Swagat Kumar:
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation. - Laurent Lejeune, Jan Grossrieder, Raphael Sznitman:
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. - Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic:
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. - Fabian Gotzens, Heidi Heinrichs, Jonas Hörsch, Fabian Hofmann:
Performing energy modelling exercises in a transparent way the issue of data quality in power plant databases. - Luyao Niu, Jie Fu, Andrew Clark:
Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks. - Kostadin Kratchanov, Efe Ergün:
Language Interoperability in Control Network Programming. - Jacob Nogas, Shehroz S. Khan, Alex Mihailidis:
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. - Thanh Tran, Kyumin Lee, Yiming Liao, Dongwon Lee:
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. - Xiaofeng Zhang, Zhangyang Wang, Dong Liu, Qing Ling:
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. - D. D. N. De Silva, Subha Fernando, I. Thilini S. Piyatilake, A. V. S. Karunarathne:
Wavelet based edge feature enhancement for convolutional neural networks. - Hai-Qing Yin, Xue Jiang, Guo-Quan Liu, Sharon Elder, Bin Xu, Qing-Jun Zheng, Xuan-Hui Qu:
The materials data ecosystem: materials data science and its role in data-driven materials discovery. - Jorge Higuera, Aleix Llenas, Josep Carreras:
Trends in smart lighting for the Internet of Things. - Ye Hu, Anibal Sanjab, Walid Saad:
Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems. - Carlos-Emiliano González-Gallardo, Malek Hajjem, Eric SanJuan, Juan-Manuel Torres-Moreno:
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique. - Abdallah Moussawi:
Towards Large Scale Training Of Autoencoders For Collaborative Filtering. - Fei Jiang, Guosheng Yin:
Bayesian Outdoor Defect Detection. - Saumya Kumaar Saksena, Navaneethkrishnan B, Sumedh Mannar, S. N. Omkar:
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles. - Nicoló Savioli, Miguel S. Vieira, Pablo Lamata, Giovanni Montana:
Automated segmentation on the entire cardiac cycle using a deep learning work-flow. - Yangling Ma, Yixin Luo, Zhouwang Yang:
Geometric Operator Convolutional Neural Network. - Moritz Klammler, Tamara Mchedlidze, Alexey Pak:
Aesthetic Discrimination of Graph Layouts. - Chao Chen, Boyuan Jiang, Xinyu Jin:
Parameter Transfer Extreme Learning Machine based on Projective Model. - Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk, Roland Siegwart, Cesar Cadena:
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization. - Fatemeh Hadaeghi, Herbert Jaeger:
Computing optimal discrete readout weights in reservoir computing is NP-hard. - Yuan He, Ming Jiang, Chunming Zhao:
A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion. - Ronghua Xu, Xuheng Lin, Qi Dong, Yu Chen:
Constructing Trustworthy and Safe Communities on a Blockchain-Enabled Social Credits System. - Lê Nguyên Hoang:
A Roadmap for the Value-Loading Problem. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Iris recognition in cases of eye pathology. - Zaid Allybokus, Konstantin Avrachenkov, Jérémie Leguay, Lorenzo Maggi:
Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks. - Yuri Bizzoni, Shalom Lappin:
The Effect of Context on Metaphor Paraphrase Aptness Judgments. - Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobComposer: Career Path Optimization via Multicriteria Utility Learning. - Ricardo Santos, Hakim Ghazzai, Andreas Kassler:
Optimal Steerable mmWave Mesh Backhaul Reconfiguration. - Mohsen Barforooshan, Milan S. Derpich, Photios A. Stavrou, Jan Østergaard:
The Effect of Time Delay on the Average Data Rate and Performance in Networked Control Systems. - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation. - Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian:
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard. - Yuan Wu, Lingling Li, Lian Li:
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. - Roman Klinger, Orphée De Clercq, Saif M. Mohammad, Alexandra Balahur:
IEST: WASSA-2018 Implicit Emotions Shared Task. - M. Majid Butt, Irene Macaluso, Carlo Galiotto, Nicola Marchetti:
Fair Dynamic Spectrum Management in Licensed Shared Access Systems. - Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Aleksandar Bojchevski, Stephan Günnemann:
Adversarial Attacks on Node Embeddings. - Adilson Luiz Bonifácio, Wellington Aparecido Della Mura:
An automatic tool for checking multi-party contracts. - Fuwen Tan, Song Feng, Vicente Ordonez:
Text2Scene: Generating Abstract Scenes from Textual Descriptions. - (Withdrawn) A note on the tight example in On the randomised query complexity of composition.
- Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
VideoMatch: Matching based Video Object Segmentation. - Medhini Narasimhan, Alexander G. Schwing:
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. - Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing:
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation. - Timos Papadopoulos, Stephen J. Roberts, Katherine J. Willis:
Automated bird sound recognition in realistic settings. - Jason Shuo Zhang, Chenhao Tan, Qin Lv:
"This is why we play": Characterizing Online Fan Communities of the NBA Teams. - Yang Young Lu, Yingying Fan, Jinchi Lv, William Stafford Noble:
DeepPINK: reproducible feature selection in deep neural networks. - Asura Enkhbayar, Juan Pablo Alperin:
Challenges of capturing engagement on Facebook for Altmetrics. - Youngseo Son, Nipun Bayas, H. Andrew Schwartz:
Causal Explanation Analysis on Social Media. - Pravesh Kothari, Ryan O'Donnell, Tselil Schramm:
SOS lower bounds with hard constraints: think global, act local. - Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan:
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. - Fenxiao Chen, Bin Wang, C.-C. Jay Kuo:
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification. - Benjamin J. Ayton, Brian C. Williams:
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. - Thinh Hung Pham, Alexander Fell, Arnab Kumar Biswas, Siew-Kei Lam, Nandeesha Veeranna:
CIDPro: Custom Instructions for Dynamic Program Diversification. - Tsung-Yu Hsieh, Yasser El-Manzalawy, Yiwei Sun, Vasant G. Honavar:
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. - L. C. Davis:
Optimal merging from an on-ramp into a high-speed lane dedicated to connected autonomous vehicles. - Kyriakos Tolias, Sotirios Chatzis:
t-Exponential Memory Networks for Question-Answering Machines. - Yimajian Yan, Di Shi, Desong Bian, Bibin Huang, Zhehan Yi, Zhiwei Wang:
Small-signal Stability Analysis and Performance Evaluation of Microgrids under Distributed Control. - Zhangjie Cao, Ziping Sun, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Deep Priority Hashing. - Olyvia Kundu, Swagat Kumar:
Optimized edge-based grasping method for a cluttered environment. - Michael Ting, Nicolas Grislain:
Maximizing net income of the auction waterfall with an abort decision tree. - Xiangyang Gou, Lei Zou, Chenxingyu Zhao, Tong Yang:
Fast and Accurate Graph Stream Summarization. - Kenza Hamidouche, Ali Taleb Zadeh Kasgari, Walid Saad, Mehdi Bennis, Mérouane Debbah:
Collaborative Artificial Intelligence (AI) for User-Cell association in Ultra-Dense Cellular Systems. - Mike Thelwall, Carol Bailey, Catherine Tobin, Noel-Ann Bradshaw:
Gender differences in research areas and topics: An analysis of publications in 285 fields. - Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. - Julian Nubert, Niklas Funk, Fabio Vito Meier, Fabrice Oehler:
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping. - Matthew A. Wright, Roberto Horowitz:
A Framework for Robust Assimilation of Potentially Malign Third-Party Data, and its Statistical Meaning. - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Unsupervised Statistical Machine Translation. - Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim:
Learning Concept Abstractness Using Weak Supervision. - Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu:
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. - Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. - Pamela Shapiro, Kevin Duh:
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. - Duc-Dung Tran, Ha-Vu Tran, Dac-Binh Ha, Georges Kaddoum:
Secure Transmit Antenna Selection Protocol for MIMO NOMA Networks over Nakagami-m Channels. - Mahmoodreza Jahanseir, Donald R. Sheehy:
Randomized Incremental Construction of Net-Trees. - Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang:
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling. - Ke Wang, Han Song, Jiahui Zhang, Xinran Zhang, Hongen Liao:
Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities. - Jieun Eom, Dong Hoon Lee, Kwangsu Lee:
Multi-Client Order-Revealing Encryption. - Ruide Li, Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Nan Yang, Jinhong Yuan, Jianping An:
Joint Trajectory and Resource Allocation Design for UAV Communication Systems. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit Somani:
An Efficient Framework for Concurrent Execution of Smart Contracts. - Richard Futrell, Ethan Wilcox, Takashi Morita, Roger Levy:
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency. - Hongyang Gao, Zhengyang Wang, Shuiwang Ji:
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. - Shereen Oraby, Lena Reed, Sharath T. S., Shubhangi Tandon, Marilyn A. Walker:
Neural MultiVoice Models for Expressing Novel Personalities in Dialog. - Carsten Burstedde:
Distributed-Memory Forest-of-Octrees Raycasting. - Seyyedeh Atefeh Musavi, Mahmoud Reza Hashemi:
A Threat Modeling Framework for Evaluating Computing Platforms Against Architectural Attacks. - Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan C. Russell:
Localizing Moments in Video with Temporal Language. - Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data for Knowledge Base Completion. - Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. - Matteo Ronchetti:
IKA: Independent Kernel Approximator. - Quan Chen, Tiezheng Ge, Yanyu Xu, Zhiqiang Zhang, Xinxin Yang, Kun Gai:
Semantic Human Matting. - Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech:
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. - Jukka Ruohonen, Ville Leppänen:
Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses. - Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. - Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: Understanding Natural Error Resilience in HPC Applications. - Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
Towards a Better Match in Siamese Network Based Visual Object Tracker. - Vahid Mostofi, Sadegh Aliakbary:
Towards quantitative methods to assess network generative models. - Haozhi Huang, Senzhe Xu, Junxiong Cai, Wei Liu, Shimin Hu:
Temporally Coherent Video Harmonization Using Adversarial Networks. - Pia Sommerauer, Antske Fokkens:
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell. - Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor S. Lempitsky:
Image Manipulation with Perceptual Discriminators. - Chen Yuan, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach. - Rahif Kassab, Osvaldo Simeone, Petar Popovski, Toufiqul Islam:
Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN. - Xiaohang Zhan, Ziwei Liu, Junjie Yan, Dahua Lin, Chen Change Loy:
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition. - Christoph Baur, Shadi Albarqouni, Nassir Navab:
Generating Highly Realistic Images of Skin Lesions with GANs. - Chen Yuan, Yi Lu, Kewen Liu, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database. - Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai:
An Elementary Proof of a Classical Information-Theoretic Formula. - Qingqing Wu, Rui Zhang:
Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design. - Pamela Fleischmann, Pascal Ochem, Kamellia Reshadi:
Repetition avoidance in products of factors. - Giuseppe Castagna:
Covariance and Controvariance: a fresh look at an old issue (a primer in advanced type systems for learning functional programmers). - Dixiao Wu, Feng Wang, Xiaowen Cao, Jie Xu:
Wireless Powered User Cooperative Computation in Mobile Edge Computing Systems. - Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater:
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation. - Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón:
Modeling the EM Field Distribution within a Computer Chip Package. - Arnab Karmakar, Deepak Mishra, Anandmayee Tej:
Stellar Cluster Detection using GMM with Deep Variational Autoencoder. - Yan Ju, Lingling Li, Licheng Jiao, Zhongle Ren, Biao Hou, Shuyuan Yang:
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification. - Arash Akbarinia, Karl R. Gegenfurtner:
How is Contrast Encoded in Deep Neural Networks? - Fábio Perez, Cristina Vasconcelos, Sandra Avila, Eduardo Valle:
Data Augmentation for Skin Lesion Analysis. - Clint Sebastian, Ries Uittenbogaard, Julien A. Vijverberg, Bas Boom, Peter H. N. de With:
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. - Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal:
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. - Rotem Dror, Roi Reichart:
Appendix - Recommended Statistical Significance Tests for NLP Tasks. - Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola:
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection. - Chao Zhang, Xuequan Lu, Takuya Akashi:
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. - Biswanath Dutta:
Theoretical analysis and propositions for "ontology citation". - Simon Jenni, Paolo Favaro:
Deep Bilevel Learning. - Ecem Sogancioglu, Shi Hu, Davide Belli, Bram van Ginneken:
Chest X-ray Inpainting with Deep Generative Models. - Sahib Budhiraja, Vijay Mago:
A Supervised Learning Approach For Heading Detection. - Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. - Andreas Hanselowski, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, Iryna Gurevych:
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. - Luis Barba:
Geodesic farthest-point Voronoi diagram in linear time. - Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. - Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. - Wafa Aissa, Laure Soulier, Ludovic Denoyer:
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. - Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. - Jingfeng Yang, Sujian Li:
Chinese Discourse Segmentation Using Bilingual Discourse Commonality. - Matthias Leimeister, Benjamin J. Wilson:
Skip-gram word embeddings in hyperbolic space. - Samuel Carton, Qiaozhu Mei, Paul Resnick:
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. - Nishant Nikhil, Shivansh Mundra:
Neural DrugNet. - Hongjiang Lei, Haolun Luo, Ki-Hong Park, Gaofeng Pan, Imran Shafique Ansari, Mohamed-Slim Alouini:
On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI. - Prakhar Ganesh, Puneet Rakheja:
Deep Reinforcement Learning in High Frequency Trading. - Davide Falessi, Likhita Narayana, Jennifer Fong Thai, Burak Turhan:
Preserving Order of Data When Validating Defect Prediction Models. - Francisco Lázaro, Gianluigi Liva, Enrico Paolini, Gerhard Bauch:
Bounds on the Error Probability of Raptor Codes under Maximum Likelihood Decoding. - Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia:
Modeling human intuitions about liquid flow with particle-based simulation. - Daniel Watson, Nasser Zalmout, Nizar Habash:
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. - Dimitris Achlioptas, Fotis Iliopoulos, Vladimir Kolmogorov:
A Local Lemma for Focused Stochastic Algorithms. - Yi-Yuan Chiang, Wang-Hsin Hsu, Wen-Yen Lin, Jonathan Jen-Rong Chen:
Fail-Stop Group Signature Scheme. - Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein:
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. - Weiping Zheng, Zhenyao Mo, Xiaotao Xing, Gansen Zhao:
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions. - Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen:
Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling. - Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. - Markku Suomalainen, Ville Kyrki:
Learning 6-D compliant motion primitives from demonstration. - Haitao Du, Shanchieh Jay Yang:
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences. - Jevan A. Hutson, Jessie G. Taft, Solon Barocas, Karen Levy:
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. - Julian Nubert, Nicholas Giai Truong, Abel Lim, Herbert Ilhan Tanujaya, Leah Lim, Mai Anh Vu:
Traffic Density Estimation using a Convolutional Neural Network. - Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? - Nikita Lozhnikov, Leon Derczynski, Manuel Mazzara:
Stance Prediction for Russian: Data and Analysis. - Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making with Adaptive Neural Network Priors. - Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, James Henderson:
Document-Level Neural Machine Translation with Hierarchical Attention Networks. - Chenguang Lu:
From Bayesian Inference to Logical Bayesian Inference: A New Mathematical Frame for Semantic Communication and Machine Learning. - Mohamed Elobaid, Yue Hu, Jan Babic, Daniele Pucci:
Telexistence and Teleoperation for Walking Humanoid Robots. - Tzu-Heng Lin, Chen Gao, Yong Li:
Recommender Systems with Characterized Social Regularization. - Setareh Nasihati Gilani, David R. Traum, Arcangelo Merla, Eugenia Hee, Zoey Walker, Barbara Manini, Grady Gallagher, Laura-Ann Petitto:
Multimodal Dialogue Management for Multiparty Interaction with Infants. - Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks. - Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda B. Viégas, Martin Wattenberg:
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. - Zhenzhen Jiao, Rui Tian, Dezhong Shang, Hui Ding:
Bicomp: A Bilayer Scalable Nakamoto Consensus Protocol. - Evangelos Vlachos, George C. Alexandropoulos, John S. Thompson:
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion. - Kavitha Srinivas, Abraham Gale, Julian Dolby:
Merging datasets through deep learning. - Thomas G. Dietterich, Tadesse Zemicheal:
Anomaly Detection in the Presence of Missing Values. - Roderick Bloem, Görschwin Fey, Fabian Greif, Robert Könighofer, Ingo Pill, Heinz Riener, Franz Röck:
Synthesizing Adaptive Test Strategies from Temporal Logic Specifications. - Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal network architectures for automatic generation of image annotation from text. - George Danezis, Dave Hrycyszyn:
Blockmania: from Block DAGs to Consensus. - Marco A. Casanova, Rômulo C. Magalhães:
An Algebra of Lightweight Ontologies. - Elisa S. Menendez, Marco A. Casanova, Mohand Boughanem, Luiz André P. Paes Leme:
Ranking RDF Instances in Degree-decoupled RDF Graphs. - Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection: an extended version. - Nina Hristozova, Piotr Ozimek, Jan Paul Siebert:
Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning. - Simon Couch, Zeki Kazan, Kaiyan Shi, Andrew Bray, Adam Groce:
A Differentially Private Wilcoxon Signed-Rank Test. - Borislav Stoyanov, Strahil Strahilov:
Web Based Information System for Heat Supply Monitoring. - Joel Finkelstein, Savvas Zannettou, Barry Bradlyn, Jeremy Blackburn:
A Quantitative Approach to Understanding Online Antisemitism. - Yuliang Zou, Zelun Luo, Jia-Bin Huang:
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency. - Martin Peter Christiansen, Morten Stigaard Laursen, Birgitte Feld Mikkelsen, Nima Teimouri, Rasmus Nyholm Jørgensen, Claus Aage Grøn Sørensen:
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. - Erfan Nozari, Jorge Cortés:
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part I: Intra-Layer Dynamics and Selective Inhibition. - Michael Segundo Ortiz, Sam Bubnovich, Mengqian Wang, Kazuhiro Seki, Javed Mostafa:
Measures of Cluster Informativeness for Medical Evidence Aggregation and Dissemination. - Ryan T. McDonald, Georgios-Ioannis Brokos, Ion Androutsopoulos:
Deep Relevance Ranking Using Enhanced Document-Query Interactions. - Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena:
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Kazuma Hashimoto, Yoshimasa Tsuruoka:
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. - Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. - Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen:
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. - Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan:
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. - Weitong Zhang, Shuai Liu, Daoya Yao:
Design and Realization of Intersection Traffic Control Simulation System Using Connected Vehicle Technology. - Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li:
Hyperbolic Recommender Systems. - Minh-Nghia Nguyen, Long Dinh Nguyen, Trung Quang Duong, Hoang Duong Tuan:
Real-time Optimal Resource Allocation for Embedded UAV Communication Systems. - Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer:
Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. - Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy:
Bridging machine learning and cryptography in defence against adversarial attacks. - Bahman Kalantari, Chun Lau:
The Multilinear Minimax Relaxation of Bimatrix Games and Comparison with Nash Equilibria via Lemke-Howson. - Gregg Helt:
Extending Mandelbox Fractals with Shape Inversions. - Ismail Shahin, Ali Bou Nassif:
Three-Stage Speaker Verification Architecture in Emotional Talking Environments. - Maciej Pesko, Tomasz Trzcinski:
Neural Comic Style Transfer: Case Study. - Eirina Bourtsoulatze, David Burth Kurka, Deniz Gündüz:
Deep Joint Source-Channel Coding for Wireless Image Transmission. - Hussein Saad, Aria Nosratinia:
Recovering a Single Community with Side Information. - Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. - Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati-Giordano, Adrian García-Rodríguez, Jinhong Yuan:
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges. - Aditya Asgaonkar, Bhaskar Krishnamachari:
Token Curated Registries - A Game Theoretic Approach. - Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-finger binary search trees. - Roger A. Stein, Patrícia Augustin Jaques, João Francisco Valiati:
An Analysis of Hierarchical Text Classification Using Word Embeddings. - Tianle Ma, Aidong Zhang:
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. - Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud, Mostafa Ali Shahin, Khalid A. Qaraqe, Erchin Serpedin:
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters. - Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang:
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection. - Cheuk Ting Li, Venkat Anantharam:
One-Shot Variable-Length Secret Key Agreement Approaching Mutual Information. - Nirupam Gupta, Jonathan Katz, Nikhil Chopra:
Information-Theoretic Privacy in Distributed Average Consensus. - Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight:
Describing a Knowledge Base. - Dimitris Fotakis, Kyriakos Lotidis, Chara Podimata:
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. - Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. - Kory W. Mathewson, Piotr Mirowski:
Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre. - Carlos Murguia, Iman Shames, Justin Ruths, Dragan Nesic:
Security Metrics of Networked Control Systems under Sensor Attacks (extended preprint). - Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. - Zhuang Ma, Michael Collins:
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency. - Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach:
Visual Coreference Resolution in Visual Dialog using Neural Module Networks. - Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, Aaron C. Courville:
Improving Explorability in Variational Inference with Annealed Variational Objectives. - Saachi Jain, David Hallac, Rok Sosic, Jure Leskovec:
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. - Dooseop Choi, Taeg-Hyun An, Kyounghwan Ahn, Jeongdan Choi:
Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars. - Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. - Adrian Santos, Jaroslav Spisak, Markku Oivo, Natalia Juristo:
Improving Development Practices through Experimentation: an Industrial TDD Case. - Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Sequence Classification Neural Networks. - Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Unsupervised Learning of View-invariant Action Representations. - Maxim Berman, Matthew B. Blaschko, Amal Rannen Triki, Jiaqian Yu:
Yes, IoU loss is submodular - as a function of the mispredictions. - Zuzana Majdisova, Václav Skala, Michal Smolik:
Determination of Stationary Points and Their Bindings in Dataset using RBF Methods. - Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Jetic Gu, Hassan Shavarani, Anoop Sarkar:
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. - Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding for Constrained Sequence Codes. - Ikram Boukhedimi, Abla Kammoun, Mohamed-Slim Alouini:
LMMSE Receivers in Uplink Massive MIMO Systems with Correlated Rician Fading. - Wei Wang, Xucheng Li:
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework. - Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida:
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks. - Laurent Viennot, Yacine Boufkhad, Leonardo Linguaglossa, Fabien Mathieu, Diego Perino:
Efficient Loop Detection in Forwarding Networks and Representing Atoms in a Field of Sets. - João R. Campos, Marco Vieira, Ernesto Costa:
Propheticus: Generalizable Machine Learning Framework. - Janus Asmussen, Joe Alexandersen, Ole Sigmund, Casper Schousboe Andreasen:
A "poor man's" approach to topology optimization of natural convection problems. - Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar:
Model-Based Stabilisation of Deep Reinforcement Learning. - Kshitij Tiwari:
Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I. - Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. - Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun:
Disentangled Variational Representation for Heterogeneous Face Recognition. - Lucas Gren:
Standards of Validity and the Validity of Standards in Behavioral Software Engineering Research: The Perspective of Psychological Test Theory. - Shaojie Jiang, Maarten de Rijke:
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. - Augusto Luis Ballardini:
A tutorial on Particle Swarm Optimization Clustering. - Yiqun Yao, Jiaming Xu, Feng Wang, Bo Xu:
Cascaded Mutual Modulation for Visual Reasoning. - Siegfried Cools:
Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method. - Nima Akhlaghi, Ananya S. Dhawan, Amir A. Khan, Biswarup Mukherjee, Cecile Truong, Siddhartha Sikdar:
Sparsity Analysis of a Sonomyographic Muscle-Computer Interface. - Patrick Metzler, Habib Saissi, Péter Bokor, Neeraj Suri:
Safe Execution of Concurrent Programs by Enforcement of Scheduling Constraints. - Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. - Diego Esteves:
Named Entity Recognition on Noisy Data using Images and Text (1-page abstract). - Vero Estrada-Galiñanes, Katarzyna Wac:
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life. - Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes:
Training Millions of Personalized Dialogue Agents. - Vijay Anand, Vivek Kanhangad:
Pore detection in high-resolution fingerprint images using Deep Residual Network. - Jun Beom Kho:
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks. - Fabrizio Sebastiani:
Evaluation Measures for Quantification: An Axiomatic Approach. - Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. - Hang Xiao, Feng Wang, Jianfeng Yan, Jingyao Zheng:
Dual Ask-Answer Network for Machine Reading Comprehension. - Irena Rusu:
Min (A)cyclic Feedback Vertex Sets and Min Ones Monotone 3-SAT. - David Ha, Jürgen Schmidhuber:
Recurrent World Models Facilitate Policy Evolution. - Olivia Wiles, Andrew Zisserman:
3D Surface Reconstruction by Pointillism. - Li Jun Heng, Wang Yong Weiwei:
Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems. - Linan Huang, Quanyan Zhu:
Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception. - Grace Villacrés, Tobias Koch, Aydin Sezgin, Gonzalo Vazquez-Vilar:
Robust Signaling for Bursty Interference. - Himangshu Kalita, Roberto Furfaro, Jekan Thangavelautham:
Satellite Capture and Servicing Using Networks of Tethered Robots Supported by Ground Surveillance. - David Folqué, Sainbayar Sukhbaatar, Arthur Szlam, Joan Bruna:
Planning with Arithmetic and Geometric Attributes. - Tristan Aumentado-Armstrong:
Latent Molecular Optimization for Targeted Therapeutic Design. - Johnny Tian-Zheng Wei, Khiem Pham, Brian Dillon, Brendan O'Connor:
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation. - Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, Daniel Gildea:
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. - Steven D. Morad, Ravi Teja Nallapu, Himangshu Kalita, Byon Kwon, Vishnu Reddy, Roberto Furfaro, Erik Asphaug, Jekan Thangavelautham:
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects. - Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang:
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation. - Maurizio Ferrari Dacrema, Paolo Cremonesi:
Eigenvalue analogy for confidence estimation in item-based recommender systems. - Jeong Joon Park, Richard A. Newcombe, Steven M. Seitz:
Surface Light Field Fusion. - Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. - Lionel Blondé, Alexandros Kalousis:
Sample-Efficient Imitation Learning via Generative Adversarial Nets. - Ming Li, Dianhui Wang:
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. - Yilong Yang, Zhuyifan Ye, Yan Su, Qianqian Zhao, Xiaoshan Li, Defang Ouyang:
Deep learning for in vitro prediction of pharmaceutical formulations. - Sameera Lanka, Tianfu Wu:
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay. - Hui-Lee Ooi, Guillaume-Alexandre Bilodeau, Nicolas Saunier, David-Alexandre Beaupré:
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector. - Chuanyu Yang, Taku Komura, Zhibin Li:
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning. - Zilong Lin, Yong Shi, Zhi Xue:
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection. - Tong Niu, Mohit Bansal:
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. - Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre:
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. - Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? - Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. - Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman:
Deep Audio-Visual Speech Recognition. - Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. - Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. - Jakob Diebold, Philipp Diebold, Arthur Vetter:
Agile meets Assessments: Case Study on how to do Agile Process Improvement in a Very Small Enterprise. - Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low Complexity Detection Algorithm Based on Alternating Minimization. - Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. - Carlos Esteves, Kostas Daniilidis, Ameesh Makadia:
Labeling Panoramas with Spherical Hourglass Networks. - Safa Messaoud, David A. Forsyth, Alexander G. Schwing:
Structural Consistency and Controllability for Diverse Colorization. - Simen Eide, Ning Zhou:
Deep neural network marketplace recommenders in online experiments. - Simen Eide, Audun M. Øygård, Ning Zhou:
Five lessons from building a deep neural network recommender. - Alexia Jolicoeur-Martineau:
GANs beyond divergence minimization. - Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat, Pawan Goyal:
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit. - Robert Short, Alan Hylton:
A Topological Kinematic Workspace Analysis of the Canfield Joint. - Muhammad Saad, Aminollah Khormali, Aziz Mohaisen:
End-to-End Analysis of In-Browser Cryptojacking. - Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. - Junhong Ye, Ying Jun (Angela) Zhang:
DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks. - Nuno P. Lopes, John Regehr:
Future Directions for Optimizing Compilers. - Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Escaping Saddle Points in Constrained Optimization. - Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. - Giulio Romualdi, Stefano Dafarra, Yue Hu, Daniele Pucci:
A Benchmarking of DCM Based Architectures for Position and Velocity Controlled Walking of Humanoid Robots. - Mohsan S. Alvi, Andrew Zisserman, Christoffer Nellåker:
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings. - Zhongyi Pei, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Multi-Adversarial Domain Adaptation. - Garrett Bernstein, Daniel Sheldon:
Differentially Private Bayesian Inference for Exponential Families. - Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel:
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. - Simson L. Garfinkel, John M. Abowd, Sarah Powazek:
Issues Encountered Deploying Differential Privacy. - Andrea Munari, Ljiljana Simic, Marina Petrova:
Stochastic Geometry Interference Analysis of Radar Network Performance. - Akshat Agarwal, Ryan M. Hope, Katia P. Sycara:
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark. - Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb:
Assessing Gender Bias in Machine Translation - A Case Study with Google Translate. - Chai Wah Wu:
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions. - Chuhan Min, Aosen Wang, Yiran Chen, Wenyao Xu, Xin Chen:
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy. - Adithya Renduchintala, Pamela Shapiro, Kevin Duh, Philipp Koehn:
Character-Aware Decoder for Neural Machine Translation. - Vedrana Andersen Dahl, Camilla Himmelstrup Trinderup, Monica Jane Emerson, Anders Bjorholm Dahl:
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images. - Linan Huang, Quanyan Zhu:
Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks. - A. A. Smagina, Denis A. Shepelev, Egor I. Ershov, Anton S. Grigoryev:
Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis. - Ning li, Sai Kumar Arava, Chen Dong, Zhenyu Yan, Abhishek Pani:
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution. - Linan Huang, Juntao Chen, Quanyan Zhu:
Distributed and Optimal Resilient Planning of Large-Scale Interdependent Critical Infrastructures. - Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. - Tommaso Polonelli, Davide Brunelli, Luca Benini:
Slotted ALOHA Overlay on LoRaWAN: a Distributed Synchronization Approach. - Yan Shvartzshnaider, Noah J. Apthorpe, Nick Feamster, Helen Nissenbaum:
Analyzing Privacy Policies Using Contextual Integrity Annotations. - Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao, Sara Stymne:
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. - Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie:
Hypergames and Cyber-Physical Security for Control Systems. - Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Learning Optimal Fair Policies. - Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov:
Adversarial Domain Adaptation for Duplicate Question Detection. - Jiang Guo, Darsh J. Shah, Regina Barzilay:
Multi-Source Domain Adaptation with Mixture of Experts. - David Marwood, Pascal Massimino, Michele Covell, Shumeet Baluja:
Representing Images in 200 Bytes: Compression via Triangulation. - Brian Shay, Patrick Brazil:
The Force of Proof by Which Any Argument Prevails. - Yucheng Fu, Yang Liu:
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images. - Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li:
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks. - Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding:
edge2vec: Learning Node Representation Using Edge Semantics. - Shudan Zhong, Hong Xu:
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Applications in Software Package Dependency Networks. - David G. Harris, Shi Li, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh:
Approximation algorithms for stochastic clustering. - Mohammad Zaeri-Amirani, Fatemeh Afghah, Jonathan D. Ashdown:
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers. - Douglas Turnbull, Luke Waldner:
Local Music Event Recommendation with Long Tail Artists. - Jihun Choi, Taeuk Kim, Sang-goo Lee:
Cell-aware Stacked LSTMs for Modeling Sentences. - Shant Boodaghians, Rucha Kulkarni, Ruta Mehta:
Nash Equilibrium in Smoothed Polynomial Time for Network Coordination Games. - Heba Elgazzar, Adel Elmaghraby:
Evolutionary Centrality and Maximal Cliques in Mobile Social Networks. - Yuepeng Wang, Xinyu Wang, Isil Dillig:
Relational Program Synthesis. - Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee:
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations. - Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. - Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. - Roozbeh Ketabi, Babak Alipour, Ahmed Helmy:
Playing with Matches: Vehicular Mobility through Analysis of Trip Similarity and Matching. - Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He:
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. - Kang Min Yoo, Youhyun Shin, Sang-goo Lee:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. - Takashi Wada, Tomoharu Iwata:
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models. - Kaito Fujii, Tasuku Soma:
Fast greedy algorithms for dictionary selection with generalized sparsity constraints. - Soumi Chattopadhyay, Ansuman Banerjee:
QoS aware Automatic Web Service Composition with Multiple objectives. - Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph E. Gonzalez:
Scaling Video Analytics Systems to Large Camera Deployments. - Ali Marzoughi:
Collision Free Navigation of a Multi-Robot Team for Intruder Interception. - Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov:
ADM for grid CRF loss in CNN segmentation. - Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve B. Jiang, Jing Wang:
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. - Parth Mehta, Prasenjit Majumder:
Exploiting local and global performance of candidate systems for aggregation of summarization techniques. - Marios Meimaris, George Papastefanatos:
Hierarchical Characteristic Set Merging for Optimizing SPARQL Queries in Heterogeneous RDF. - Matteo Ceccarello, Anne Driemel, Francesco Silvestri:
FRESH: Fréchet Similarity with Hashing. - Lucas Gren, Alessia Knauss, Christoph Johann Stettina:
Non-Technical Individual Skills are Weakly Connected to the Maturity of Agile Practices. - Xiaolu Zhang, Shiwan Zhao, Lingxi Xie:
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images. - Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. - Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo:
On2Vec: Embedding-based Relation Prediction for Ontology Population. - Haruo Hosoya:
A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data. - Yubin Deng, Ke Yu, Dahua Lin, Xiaoou Tang, Chen Change Loy:
Improving On-policy Learning with Statistical Reward Accumulation. - Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung:
Improving Neural Question Generation using Answer Separation. - Hansheng Xue, Jiajie Peng, Xuequn Shang:
Deep Feature Learning of Multi-Network Topology for Node Classification. - Basak Sakcak, Luca Bascetta, Gianni Ferretti, Maria Prandini:
Sampling-based optimal kinodynamic planning with motion primitives. - Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. - Arindam Ghosh, Harpreet S. Dhillon:
Performance Analysis of MRC under Spatially Correlated Interference using Mixture-based Method. - Daniel Hienert, Maria Lusky:
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search. - Daniel Hienert, Dagmar Kern:
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. - Nicholas J. Belkin, Daniel Hienert, Philipp Mayr, Chirag Shah:
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. - Daniel Hienert, Peter Mutschke:
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches. - Andrea Orlandini, Martin Zimmermann:
Proceedings Ninth International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2018, Saarbrücken, Germany, 26-28th September 2018. EPTCS 277, 2018 [contents] - Alwin Zulehner, Michael P. Frank, Robert Wille:
Design Automation for Adiabatic Circuits. - Johannes Bjerva:
Multitask and Multilingual Modelling for Lexical Analysis. - Rainer Schlosser, Martin Boissier:
Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh, Giancarlo Mauri, Italo Zoppis:
Top-k Overlapping Densest Subgraphs: Approximation and Complexity. - Ali Parsai, Serge Demeyer:
Dynamic Mutant Subsumption Analysis using LittleDarwin. - Thorsten Götte, Christian Scheideler, Alexander Setzer:
On Underlay-Aware Self-Stabilizing Overlay Networks. - Hugo Richard, Ana Luísa Pinho, Bertrand Thirion, Guillaume Charpiat:
Optimizing deep video representation to match brain activity. - Jangho Kim, Jeesoo Kim, Nojun Kwak:
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. - Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. - Oleg Finko, Sergey A. Dichenko, Dmitriy Samoylenko:
Secure Generators of q-valued Pseudo-Random Sequences on Arithmetic Polynomials. - Baldomero Coll-Perales, Javier Gozálvez, Marco Gruteser:
Sub-6GHz Assisted MAC for Millimeter Wave Vehicular Communications. - Dmitriy Samoylenko, Mikhail Eremeev, Oleg Finko, Sergey A. Dichenko:
Protection of Information from Imitation on the Basis of Crypt-Code Structures. - Xunhua Dai, Quan Quan, Jinrui Ren, Kai-Yuan Cai:
An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance. - Muhammad Zain Amin, Noman Nadeem:
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System. - Duong Nguyen, Fragkiskos D. Malliaros:
BiasedWalk: Biased Sampling for Representation Learning on Graphs. - Nikita Dvornik, Julien Mairal, Cordelia Schmid:
On the Importance of Visual Context for Data Augmentation in Scene Understanding. - Erfan Nozari, Jorge Cortés:
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part II: Inter-Layer Dynamics and Top-Down Recruitment. - Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter, José Maria Alonso, Albert Gatt:
Meteorologists and Students: A resource for language grounding of geographical descriptors. - Rudrajit Das, Aditya Golatkar, Suyash P. Awate:
Sparse Kernel PCA for Outlier Detection. - Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. - Pawel Gawrychowski, Tatiana Starikovskaya:
Streaming dictionary matching with mismatches. - David Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel:
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data. - Steven Derby, Paul Miller, Brian Murphy, Barry Devereux:
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge.