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ORCIDCoRR, October 2020
- Estevão Testa, Rodrigo C. Barros, Soraia Raupp Musse:
CrowdEst: A Method for Estimating (and not Simulating) Crowd Evacuation Parameters in Generic Environments.
- Hong-Ye Hu
, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. - Kevin Leahy, Austin Jones, Cristian Ioan Vasile:
Fast Decomposition of Temporal Logic Specifications for Heterogeneous Teams. - Mohit Chandra, Ashwin Pathak, Eesha Dutta, Paryul Jain, Manish Gupta, Manish Shrivastava, Ponnurangam Kumaraguru:
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts. - Maithilee Kunda, Irina Rabkina:
Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game. - Kishor Kunal, Jitesh Poojary, Tonmoy Dhar, Meghna Madhusudan, Ramesh Harjani, Sachin S. Sapatnekar:
A general approach for identifying hierarchical symmetry constraints for analog circuit layout. - Irene Ballester, Alejandro Fontán, Javier Civera, Klaus H. Strobl, Rudolph Triebel:
DOT: Dynamic Object Tracking for Visual SLAM. - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. - Eirik Valseth, Pouria Behnoudfar, Clint Dawson, Albert Romkes:
Automatic Variationally Stable Analysis for Finite Element Computations: Transient Convection-Diffusion Problems. - Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. - Andrew McLeod, James Owers, Kazuyoshi Yoshii:
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction. - Ayush Jain, Alon Orlitsky:
Linear-Sample Learning of Low-Rank Distributions. - Ioannis Papakis, Abhijit Sarkar, Anuj Karpatne:
GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. - Guneet S. Dhillon, Nicholas Carlini:
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning. - Dheeraj Baby, Yu-Xiang Wang:
Adaptive Online Estimation of Piecewise Polynomial Trends. - Nicholas Greenspan, Yuqi Si, Kirk Roberts:
Extracting Concepts for Precision Oncology from the Biomedical Literature. - Ahmadreza Moradipari, Christos Thrampoulidis, Mahnoosh Alizadeh:
Stage-wise Conservative Linear Bandits. - Siamak Sarmady, Fazilah Haron, Abdullah Zawawi Talib:
Simulation of Wheelchair Movements in Crowd Using Fine Grid Cellular Automata. - Florian Mirus, Terrence C. Stewart, Jörg Conradt:
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. - Claudio Moraga:
Realization of p_valued Deutsch quantum gates. - Vincent Cohen-Addad, Karthik C. S., Euiwoong Lee:
On Approximability of Clustering Problems Without Candidate Centers. - Min Yee Teh, Shizhen Zhao, Peirui Cao, Keren Bergman:
COUDER: Robust Topology Engineering for Optical Circuit Switched Data Center Networks. - Nikhil Vadgama, Paolo Tasca:
An Analysis of Blockchain Adoption in Supply Chains Between 2010 and 2020. - Carole Delporte, Hugues Fauconnier, Sergio Rajsbaum, Michel Raynal:
t-Resilient k-Immediate Snapshot and its Relation with Agreement Problems. - Mostafa Mohammadkarimi, Octavia A. Dobre, Moe Z. Win:
Massive Uncoordinated Multiple Access for Beyond 5G. - Shu Sun, Hangsong Yan:
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect. - Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. - Yu Guo, Cameron Smith, Milos Hasan, Kalyan Sunkavalli, Shuang Zhao:
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model. - Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. - Ketan Mittal, Som Dutta, Paul F. Fischer:
Stability analysis of a singlerate and multirate predictor-corrector scheme for overlapping grids. - James E. Powell, Kari Sentz:
Interactive Re-Fitting as a Technique for Improving Word Embeddings. - Constantin Seibold, Jens Kleesiek, Heinz-Peter Schlemmer, Rainer Stiefelhagen:
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs. - Sergi Abadal, Akshay Jain, Robert Guirado, Jorge López-Alonso, Eduard Alarcón:
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators. - Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman:
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. - Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien:
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation. - Rong Ge, Holden Lee, Jianfeng Lu, Andrej Risteski:
Efficient sampling from the Bingham distribution. - Laurent Alfandari, Sophie Toulouse:
Approximation of the Double Travelling Salesman Problem with Multiple Stacks. - Kashin Sugishita, Mason A. Porter, Mariano Beguerisse-Díaz, Naoki Masuda:
Opinion dynamics in tie-decay networks. - Lena Reed, Vrindavan Harrison, Shereen Oraby, Dilek Hakkani-Tür, Marilyn A. Walker:
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation. - Thanh Do, Goetz Graefe:
Sort-based grouping and aggregation. - Zining Zhu, Chuer Pan, Mohamed Abdalla, Frank Rudzicz:
Examining the rhetorical capacities of neural language models. - Xuan Xu, Xin Xiong, Jinge Wang, Xin Li:
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution. - Eric Cristofalo, Eduardo Montijano, Mac Schwager:
GeoD: Consensus-based Geodesic Distributed Pose Graph Optimization. - Olusola Tolulope Odeyomi:
Unknown Delay for Adversarial Bandit Setting with Multiple Play. - Yayi Zou, Zhiwei Qin:
Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control. - Helio H. L. C. Monte-Alto, Mariela Morveli Espinoza, Cesar A. Tacla:
Multi-Agent Systems based on Contextual Defeasible Logic considering Focus. - Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun:
Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge. - Fuzhong Nian, Hongyuan Diao:
Information Propagation Model in Hybrid Networks. - Yong Xiao, Guangming Shi, Yingyu Li, Walid Saad, H. Vincent Poor:
Towards Self-learning Edge Intelligence in 6G. - William H. Clark IV, Steven Conrad Hauser, William C. Headley, Alan J. Michaels:
Training Data Augmentation for Deep Learning RF Systems. - Yang Zhang, Qiang Ma:
Dual Attention Model for Citation Recommendation. - Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models. - Longxuan Ma, Weinan Zhang, Runxin Sun, Ting Liu:
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. - Yi-Dong Shen, Thomas Eiter:
Constraint Monotonicity, Epistemic Splitting and Foundedness Are Too Strong in Answer Set Programming. - Thai Binh Nguyen, Quang Minh Nguyen, Thi Thu Hien Nguyen, Quoc Truong Do, Luong Chi Mai:
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models. - Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald:
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. - Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. - Teppei Sato, Keita Emura, Tomoki Fujitani, Kazumasa Omote:
An Anonymous Trust-Marking Scheme on Blockchain Systems. - Prakash Mallick, Zhiyong Chen:
Robust Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization. - Steven Cao, Swanand Kadhe, Kannan Ramchandran:
CoVer: Collaborative Light-Node-Only Verification and Data Availability for Blockchains. - Khaled A. Helal Kelany, Nikitas Dimopoulos, Clemens P. J. Adolphs, Bardia Barabadi, Amirali Baniasadi:
Quantum Annealing Approaches to the Phase-Unwrapping Problem in Synthetic-Aperture Radar Imaging. - Ramin Kaviani, Kory W. Hedman:
An Enhanced Energy Management System Including a Real-Time Load-Redistribution Threat Analysis Tool and Cyber-Physical SCED. - Ryoji Tanabe, Hisao Ishibuchi:
A Niching Indicator-Based Multi-modal Many-objective Optimizer. - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Adaptive Multi-grained Graph Neural Networks. - Laércio Lima Pilla:
Optimal Task Assignment to Heterogeneous Federated Learning Devices. - Xiaoman Qi, Panpan Zhu, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Mengfan Wu, Jialong Chen, Xudong Zhao, Ning Zang, P. Takis Mathiopoulos:
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding. - Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao:
CariMe: Unpaired Caricature Generation with Multiple Exaggerations. - Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. - Mingshang Hu, Lianzi Jiang:
An Efficient Numerical Method for Forward-Backward Stochastic Differential Equations Driven by G-Brownian motion. - Simon Heybrock, Owen Arnold, Igor Gudich, Daniel Nixon, Neil Vaytet:
Scipp: Scientific data handling with labeled multi-dimensional arrays for C++ and Python. - Gergely Hajgató, Bálint Gyires-Tóth, György Paál:
Predicting the flow field in a U-bend with deep neural networks. - Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros:
NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings. - Joe Watson, Abraham Imohiosen, Jan Peters:
Active Inference or Control as Inference? A Unifying View. - Miriam Bellver, Carles Ventura, Carina Silberer, Ioannis Kazakos, Jordi Torres, Xavier Giró-i-Nieto:
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. - Ryoji Tanabe, Hisao Ishibuchi:
Review and Analysis of Three Components of Differential Evolution Mutation Operator in MOEA/D-DE. - Moritz Schulze Darup, Andreea B. Alexandru, Daniel E. Quevedo, George J. Pappas:
Encrypted control for networked systems - An illustrative introduction and current challenges. - David Tolpin, Yuan Zhou, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. - Nick Brown, Brian Bainbridge, Ciarán Beggan, Susan Macmillan, William Brown, Brian Hamilton:
Modelling the earth's geomagnetic environment on Cray machines using PETSc and SLEPc. - David Tolpin, Yuan Zhou, Hongseok Yang:
Bayesian Policy Search for Stochastic Domains. - Luca Pegolotti, Martin R. Pfaller, Alison L. Marsden, Simone Deparis:
Model order reduction of flow based on a modular geometrical approximation of blood vessels. - Ehsan Doostmohammadi, Minoo Nassajian, Adel Rahimi:
Joint Persian Word Segmentation Correction and Zero-Width Non-Joiner Recognition Using BERT. - Junya Saito, Ryosuke Kawamura, Akiyoshi Uchida, Sachihiro Youoku, Yuushi Toyoda, Takahisa Yamamoto, Xiaoyu Mi, Kentaro Murase:
Action Units Recognition by Pairwise Deep Architecture. - Nick Brown:
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development. - Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed:
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images. - Zeyu Feng, Chang Xu, Dacheng Tao:
Open-Set Hypothesis Transfer with Semantic Consistency. - Anshul Wadhawan:
Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting. - Benedikt Bollig, Normann Decker, Martin Leucker:
Erratum to "Frequency Linear-time Temporal Logic". - Daniil Ryabko:
Universal time-series forecasting with mixture predictors. - Anna Melman, Oleg Evsutin, Alexander Alexandrovich Shelupanov:
An authorship protection technology for electronic documents based on image watermarking. - Prakash Mallick, Zhiyong Chen, Mohsen Zamani:
Reinforcement Learning Using Expectation Maximization Based Guided Policy Search for Stochastic Dynamics. - Tianyu Liu, Chi Wang:
Understanding the hardness of approximate query processing with joins. - Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. - Akshita Aggarwal, Anshul Wadhawan, Anshima Chaudhary, Kavita Maurya:
"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings. - Yubo Li, Kangquan Li, Longjiang Qu:
On two conjectures about the intersection distribution. - Lingjing Wang, Xiang Li, Yi Fang:
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. - Nicolas Nagel, Martin Schäfer, Tino Ullrich:
A new upper bound for sampling numbers. - Renan Souza, Leonardo Guerreiro Azevedo, Vítor Lourenço, Elton F. S. Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Márcio Ferreira Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto:
Workflow Provenance in the Lifecycle of Scientific Machine Learning. - Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella:
Fault Injection Analytics: A Novel Approach to Discover Failure Modes in Cloud-Computing Systems. - Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby:
Training general representations for remote sensing using in-domain knowledge. - Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. - Stephan Wiefling, Markus Dürmuth, Luigi Lo Iacono:
More Than Just Good Passwords? A Study on Usability and Security Perceptions of Risk-based Authentication. - Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi:
EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts. - Alejandro Cohen, Homa Esfahanizadeh, Bruno Sousa, João P. Vilela, Miguel Luís, Duarte M. G. Raposo, François Michel, Susana Sargento, Muriel Médard:
Bringing Network Coding into SDN: A Case-study for Highly Meshed Heterogeneous Communications. - Nina Beranek, M. Alexander Reinhold, Karsten Urban:
A Space-Time Variational Method for Optimal Control Problems. - Luca Ferranti, Xiaotian Li, Jani Boutellier, Juho Kannala:
Can You Trust Your Pose? Confidence Estimation in Visual Localization. - Bartlomiej Dudek, Pawel Gawrychowski:
Counting 4-Patterns in Permutations Is Equivalent to Counting 4-Cycles in Graphs. - Busra Tegin, Tolga M. Duman:
Machine Learning at Wireless Edge with OFDM and Low Resolution ADC and DAC. - K. J. Joseph, Vineeth N. Balasubramanian:
Meta-Consolidation for Continual Learning. - Antonio-Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez:
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey. - Artur Sterz, Matthias Eichholz, Ragnar Mogk, Lars Baumgärtner, Pablo Graubner, Matthias Hollick, Mira Mezini, Bernd Freisleben:
ReactiFi: Reactive Programming of Wi-Fi Firmware on Mobile Devices. - Thiem V. Pham, Thinh T. Doan, Dinh Hoa Nguyen:
Distributed two-time-scale methods over clustered networks. - Hind Saleh Alatawi, Areej Maatog Alhothali, Kawthar Mustafa Moria:
Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT. - Jose Berengueres, Pavel Nesterov:
A Survey of H-index, Stress, Tenure & Reference Management software use in Academia. - Chenjian Pan, Chen Ling, Hongjin He, Liqun Qi, Yanwei Xu:
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion. - Zipeng Xu, Fangxiang Feng, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Ouyang:
Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue. - Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi:
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. - Suiyi Ling, Jing Li, Anne-Flore Perrin, Zhi Li, Lukás Krasula, Patrick Le Callet:
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy. - Paul Samuel Ignacio, Jay-Anne Bulauan, David Uminsky:
LUMÁWIG: An Efficient Algorithm for Dimension Zero Bottleneck Distance Computation in Topological Data Analysis. - Haixia Liu:
Citation Sentiment Changes Analysis. - Jaroslav Schmidt, Alena Zemanová, Jan Zeman, Michal Sejnoha:
Phase-field Fracture Modelling of Thin Monolithic and Laminated Glass Plates under Quasi-static Bending. - Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis:
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. - Pierre De Handschutter, Nicolas Gillis, Xavier Siebert:
Deep matrix factorizations. - Ercument Ilhan, Diego Perez Liebana:
Student-Initiated Action Advising via Advice Novelty. - Neeraj, Jimson Mathew, Ranjan Kumar Behera, Zenin Easa Panthakkalakath:
A Deep Learning Framework for COVID Outbreak Prediction. - Fabrizia Auletta, Davide Fiore, Michael J. Richardson, Mario di Bernardo:
Design of herding autonomous agents via local control rules and global target selection strategies. - Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Survey on Explainability in Machine Reading Comprehension. - Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences and application to audio signal recovery. - Atefe Darabi, Milad Siami:
Centrality in Epidemic Networks with Time-Delay: A Decision-Support Framework for Epidemic Containment. - Javier Hernandez-Ortega, Rubén Tolosana, Julian Fiérrez, Aythami Morales:
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation. - Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu:
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology. - Ines Chami, Albert Gu, Vaggos Chatziafratis, Christopher Ré:
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering.