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ORCIDCoRR, October 2018
- Minjia Shi, Denis S. Krotov, Patrick Solé:
A new approach to the Kasami codes of type 2.
- Washington Garcia, Joseph I. Choi, Suman Kalyan Adari, Somesh Jha, Kevin R. B. Butler:
Explainable Black-Box Attacks Against Model-based Authentication. - Anthony C. Fletcher, Cameron Mura
:
Ten Simple Rules for Using a Raspberry Pi. - Aniket Bera, Tanmay Randhavane, Emily Kubin, Husam Shaik, Kurt Gray, Dinesh Manocha:
Data-Driven Modeling of Group Entitativity in Virtual Environments. - Eduardo Sany Laber, Lucas Murtinho:
Minimization of Gini impurity via connections with the k-means problem. - Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo Garcia-Bulle, Alex Pentland:
Active Fairness in Algorithmic Decision Making. - Mo Dong, Qingkai Liang, Xiaozhou Li, Junda Liu:
Celer Network: Bring Internet Scale to Every Blockchain. - Francesco Calimeri, Carmine Dodaro, Davide Fuscà, Simona Perri, Jessica Zangari:
Efficiently Coupling the I-DLV Grounder with ASP Solvers. - Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla:
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. - Mohamed K. Helwa, Adrian Esser, Angela P. Schoellig:
Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles. - Chun-Ming Yuan, Zhi-Yong Zhang:
New bounds and efficient algorithm for sparse difference resultant. - Roshan Shariff, Or Sheffet:
Differentially Private Contextual Linear Bandits. - Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay:
Adversarial Attacks and Defences: A Survey. - David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng:
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. - Eugenio Alcalá, Vicenç Puig, Joseba Quevedo:
TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO. - Ciprian Amariei, Paul Diac, Emanuel Onica, Valentin Rosca:
Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams. - Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding:
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Mohamadreza Ahmadi, Murat Cubuktepe, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen, Ufuk Topcu:
The Partially Observable Games We Play for Cyber Deception. - Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. - Valentin Rosca, Emanuel Onica, Paul Diac, Ciprian Amariei:
Predicting Destinations by Nearest Neighbor Search on Training Vessel Routes. - Bo Wu, Mohamadreza Ahmadi, Suda Bharadwaj, Ufuk Topcu:
Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes. - Mohammadreza Ghanavati, Diego Costa, Janos Seboek, David Lo, Artur Andrzejak:
Memory and Resource Leak Defects and their Repairs in Java Projects. - Arnaud Casteigts, Joseph G. Peters, Jason Schoeters:
Temporal Cliques Admit Sparse Spanners. - Peter M. R. Rasmussen, Amit Sahai:
Expander Graphs are Non-Malleable Codes. - Celong Liu, Xin Li:
Superimposition-guided Facial Reconstruction from Skull. - Stavros Petridis, Themos Stafylakis, Pingchuan Ma, Georgios Tzimiropoulos, Maja Pantic:
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture. - Karl Ridgeway, Michael C. Mozer:
Open-Ended Content-Style Recombination Via Leakage Filtering. - Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker:
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. - Hossein Kashiani, Shahriar B. Shokouhi:
Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network. - Yongqiang Cai, Qianxiao Li, Zuowei Shen:
On the Convergence and Robustness of Batch Normalization. - Jesse Farebrother, Marlos C. Machado, Michael Bowling:
Generalization and Regularization in DQN. - He Jiang, Xiaochen Li, Zhilei Ren, Jifeng Xuan, Zhi Jin:
Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes. - Jacky C. K. Chow, Ivan Detchev, Kathleen Ang, Kristian Morin, Karthik Mahadevan, Nicholas Louie:
Robot Vision: Calibration of Wide-Angle Lens Cameras Using Collinearity Condition and K-Nearest Neighbour Regression. - Gerhard W. Dueck, Anirban Pathak, Md. Mazder Rahman, Abhishek Shukla, Anindita Banerjee:
Optimization of Circuits for IBM's five-qubit Quantum Computers. - Carlos Laufer, Daniel Schwabe:
A Framework to Support the Trust Process in News and Social Media. - Ghasem Pasandi, Massoud Pedram:
A Graph Partitioning Algorithm with Application in Synthesizing Single Flux Quantum Logic Circuits. - S. Rasoul Etesami:
A Simple Framework for Stability Analysis of State-Dependent Networks of Heterogeneous Agents. - Yash Bhalgat:
FusedLSTM: Fusing frame-level and video-level features for Content-based Video Relevance Prediction. - Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu:
Knowledge-guided Semantic Computing Network. - Guru Subramani, Michael R. Zinn, Michael Gleicher:
Inferring geometric constraints in human demonstrations. - Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. - Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen:
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. - Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. - Tianmin Shu, Yuandong Tian:
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. - Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. - Jun Jin, Laura Petrich, Masood Dehghan, Zichen Zhang, Martin Jägersand:
Robot eye-hand coordination learning by watching human demonstrations: a task function approximation approach. - Eugene Goldberg:
Quantifier Elimination With Structural Learning. - Aoyu Wu, Bon Kyung Ku, Furui Cheng, Xinhuan Shu, Abishek Puri, Yifang Wang, Huamin Qu:
Pulse: Toward a Smart Campus by Communicating Real-time Wi-Fi Access Data. - Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein:
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. - Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra:
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN. - Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka:
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. - Daniele Santoro, Daniel Zozin, Daniele Pizzolli, Francesco De Pellegrini, Silvio Cretti:
Foggy: A Platform for Workload Orchestration in a Fog Computing Environment. - Ravi Tej Akella, Raviteja Rekula, Vinod Pankajakshan:
A Randomized Kernel-Based Secret Image Sharing Scheme. - Zhiyong Sun, Héctor García de Marina, Georg S. Seyboth, Brian D. O. Anderson, Changbin Yu:
Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds: Theory and experiments. - Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. - Simone Silvestri, Rene Pecnik:
A fast GPU Monte Carlo Radiative Heat Transfer Implementation for Coupling with Direct Numerical Simulation. - Kamran Keykhosravi, Houman Rastegarfar, Nasser Peyghambarian, Erik Agrell:
Exploiting AWG Free Spectral Range Periodicity in Distributed Multicast Architectures. - Rui Zhu, Tao Shu, Huirong Fu:
Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures. - Ke Sun, Vijay Kumar:
Stochastic 2-D Motion Planning with a POMDP Framework. - Yongyi Tang, Xing Zhang, Jingwen Wang, Shaoxiang Chen, Lin Ma, Yu-Gang Jiang:
Non-local NetVLAD Encoding for Video Classification. - Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson:
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. - Nikhil Chavan Dafle, Rachel M. Holladay, Alberto Rodriguez:
In-Hand Manipulation via Motion Cones. - Adrien Bitton, Philippe Esling, Axel Chemla-Romeu-Santos:
Modulated Variational auto-Encoders for many-to-many musical timbre transfer. - Tamir Bendory, Nicolas Boumal, William E. Leeb, Eitan Levin, Amit Singer:
Toward single particle reconstruction without particle picking: Breaking the detection limit. - Pratishtha Shukla, Aranya Chakrabortty, Alexandra Duel-Hallen:
A Cyber-Security Investment Game for Networked Control Systems. - Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr:
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. - Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson:
Downlink Spectral Efficiency of Cell-Free Massive MIMO with Full-Pilot Zero-Forcing. - Nicolas Pröllochs, Stefan Feuerriegel:
Reinforcement Learning in R. - Kinga Skorupska, Manuel Núñez, Wieslaw Kopec, Radoslaw Nielek:
Older Adults and Crowdsourcing: Android TV App for Evaluating TEDx Subtitle Quality. - Bartlomiej Bosek, Tomasz Krawczyk:
On-line partitioning of width w posets into w^O(log log w) chains. - Farzad Eskandanian, Bamshad Mobasher:
Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. - Dinh-Thuan Do, Mojtaba Vaezi, Thanh-Luan Nguyen:
Wireless Powered Cooperative Relaying using NOMA with Imperfect CSI. - Pawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic:
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. - Ruben Recabarren, Bogdan Carbunar:
Tithonus: A Bitcoin Based Censorship Resilient System. - Quanyan Zhu, Stefan Rass, Peter Schartner:
Community-Based Security for the Internet of Things. - Quanyan Zhu:
Multi-Layer Cyber-Physical Security and Resilience for Smart Grid. - Quanyan Zhu:
Cyber Insurance. - Lei Yu, Vincent Y. F. Tan:
On Exact and ∞-Rényi Common Informations. - Photios A. Stavrou, Jan Østergaard, Charalambos D. Charalambous:
Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources. - Simon Alford, Ryan A. Robinett, Lauren Milechin, Jeremy Kepner:
Pruned and Structurally Sparse Neural Networks. - Min Chen, Yiming Miao, Xin Jian, Xiaofei Wang, Iztok Humar:
Cognitive-LPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks. - Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang:
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training. - Zichuan Liu, Guosheng Lin, Wang Ling Goh, Fayao Liu, Chunhua Shen, Xiaokang Yang:
Correlation Propagation Networks for Scene Text Detection. - Cheol-Ho Hong, Blesson Varghese:
Resource Management in Fog/Edge Computing: A Survey. - Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez:
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. - Mohamed El Amine Elforaici, Ismail Chaaraoui, Wassim Bouachir, Youssef Ouakrim, Neila Mezghani:
Posture recognition using an RGB-D camera : exploring 3D body modeling and deep learning approaches. - He Yin, Andrew K. Packard, Murat Arcak, Peter J. Seiler:
Finite Horizon Backward Reachability Analysis and Control Synthesis for Uncertain Nonlinear Systems. - Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray:
Tree2Tree Neural Translation Model for Learning Source Code Changes. - Toshihide Tadenuma, Masaki Ogura, Kenji Sugimoto:
Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling. - Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embedding. - Micha Feigin, Daniel Freedman, Brian W. Anthony:
A Deep learning framework for Single sided sound speed inversion in medical ultrasound. - Walid S. Saba:
On the Winograd Schema Challenge: Levels of Language Understanding and the Phenomenon of the Missing Text. - Wahyudi, Masayu Leylia Khodra, Ary Setijadi Prihatmanto, Carmadi Machbub:
Using Graph-Pattern Association Rules On Yago Knowledge Base. - Amirhossein Dadashzadeh, Alireza Tavakoli Targhi:
Multi-Level Contextual Network for Biomedical Image Segmentation. - Vasco Lopes, Luís A. Alexandre:
An Overview of Blockchain Integration with Robotics and Artificial Intelligence. - Albert Gatt, Nicolás Marín, Gustavo Rivas-Gervilla, Daniel Sánchez:
Specificity measures and reference. - Xinyun Chen, Yuandong Tian:
Learning to Progressively Plan. - Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou:
Text Morphing. - Yuhu Shan, Wen Feng Lu, Chee-Meng Chew:
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving. - Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu:
Neural Entity Reasoner for Global Consistency in NER. - Kazim Rifat Özyilmaz, Mehmet Dogan, Arda Yurdakul:
IDMoB: IoT Data Marketplace on Blockchain. - Tingxiang Fan, Xinjing Cheng, Jia Pan, Pinxin Long, Wenxi Liu, Ruigang Yang, Dinesh Manocha:
Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds. - Rui Li, Chaoyun Zhang, Paul Patras, Pan Cao, John S. Thompson:
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. - Christian R. G. Dreher, Nicklas Kulp, Christian Mandery, Mirko Wächter, Tamim Asfour:
A Framework for Evaluating Motion Segmentation Algorithms. - Joni Salminen, Bernard J. Jansen:
Use Cases and Outlooks for Automatic Analytics. - Dawood Al Chanti, Alice Caplier:
Improving Bag-of-Visual-Words Towards Effective Facial Expressive Image Classification. - Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. - Dawood Al Chanti, Alice Caplier:
Spontaneous Facial Expression Recognition using Sparse Representation. - Reuben Cohn-Gordon, Noah D. Goodman, Christopher Potts:
An Incremental Iterated Response Model of Pragmatics. - Marcello De Bernardi, M. H. R. Khouzani, Pasquale Malacaria:
Pseudo-Random Number Generation using Generative Adversarial Networks. - Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-preserving Stochastic Gradual Learning. - Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy:
Manifold Alignment with Feature Correspondence. - Ágnes Cseh, Attila Juhos:
Pairwise preferences in the stable marriage problem. - Jesse Johnson:
Deep, Skinny Neural Networks are not Universal Approximators. - Roman Khudorozhkov, Dmitry Podvyaznikov:
Benchmarks of ResNet Architecture for Atrial Fibrillation Classification. - Raphael Hiesgen, Dominik Charousset, Thomas C. Schmidt:
A Configurable Transport Layer for CAF. - Ido Zachevsky, Yehoshua Y. Zeevi:
Modelling local phase of images and textures with applications in phase denoising and phase retrieval. - Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi:
Accelerated PDE's for efficient solution of regularized inversion problems. - Robert Max Williams, Roman V. Yampolskiy:
Optical Illusions Images Dataset. - Rutvika Manohar, Takashi Hikihara:
Dynamic behaviour of a ring coupled boost converter system with passivity-based control. - Siddhartha Dhar Choudhury, Shashank Pandey:
Nth Absolute Root Mean Error. - Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Guy Wolf, Smita Krishnaswamy:
Graph Spectral Regularization for Neural Network Interpretability. - Saeed Najafi, Colin Cherry, Grzegorz Kondrak:
Efficient Sequence Labeling with Actor-Critic Training. - Huizi Mao, Taeyoung Kong, William J. Dally:
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video. - Ziyi Yang, Chenguang Zhu, Weizhu Chen:
Zero-training Sentence Embedding via Orthogonal Basis. - Qinglin Zhang, Chris Benton, Daniela Inclezan:
An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus. - Dawsen Hwang, Patrick Jaillet, Vahideh H. Manshadi:
Online Resource Allocation under Partially Predictable Demand. - David Métivier, Michael Chertkov:
Mean Field Control for Efficient Mixing of Energy Loads. - Vladimir Lifschitz, Patrick Lühne, Torsten Schaub:
anthem: Transforming gringo Programs into First-Order Theories (Preliminary Report). - Martin Farach-Colton, Meng Li, Meng-Tsung Tsai:
Streaming Algorithms for Planar Convex Hulls. - Ciro Potena, Raghav Khanna, Juan I. Nieto, Roland Siegwart, Daniele Nardi, Alberto Pretto:
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming. - Nathan F. Lepora, Martin J. Pearson, Luke Cramphorn:
TacWhiskers: Biomimetic optical tactile whiskered robots. - Priyanka Mandikal, Navaneet K. L., R. Venkatesh Babu:
3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image.