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ORCIDCoRR, May 2021
- Pablo Muñoz, Oriol Sallent, Jordi Pérez-Romero:
Self-Dimensioning and Planning of Small Cell Capacity in Multitenant 5G Networks. - Jakob Mökander, Luciano Floridi:
Ethics-Based Auditing to Develop Trustworthy AI. - Tim Krause, Raphael Ernst, Benedikt Klaer, Immanuel Hacker, Martin Henze
:
Cybersecurity in Power Grids: Challenges and Opportunities. - Mamoru Doi:
Negative 3D gadgets in origami extrusions with a supporting triangle on the back side. - Zeqi Li, Ruowei Jiang, Parham Aarabi:
Continuous Face Aging via Self-estimated Residual Age Embedding. - Antoine Allioux, Eric Finster, Matthieu Sozeau:
Types are Internal ∞-Groupoids. - Weile Wei, Eduardo F. D'Azevedo, Kevin A. Huck, Arghya Chatterjee, Oscar R. Hernandez, Hartmut Kaiser:
Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver. - Sara Lafia, Andrea K. Thomer, David A. Bleckley, Dharma Akmon, Libby Hemphill:
Leveraging Machine Learning to Detect Data Curation Activities. - Matthew Kolosick, Shravan Narayan, Conrad Watt, Michael LeMay, Deepak Garg, Ranjit Jhala, Deian Stefan:
Isolation Without Taxation: Near Zero Cost Transitions for SFI. - Ahmad Hesam, Lukas Breitwieser, Fons Rademakers, Zaid Al-Ars:
GPU Acceleration of 3D Agent-Based Biological Simulations. - Ramy Shahin, Sahar Kokaly, Marsha Chechik:
Towards Certified Analysis of Software Product Line Safety Cases. - Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
Submodular Mutual Information for Targeted Data Subset Selection. - Wojciech Czerwinski, Adam Jedrych:
Long Runs Imply Big Separators in Vector Addition Systems. - Gonçalo Raposo, Pedro Tomás, Nuno Roma:
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit. - Aolin Xu:
Anytime Decoding by Monte-Carlo Tree Search. - Alexander G. Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman B. Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov, Viacheslav A. Ilyin:
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets. - Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan:
Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization. - Tomaz Martincic, Dejan Stepec, João Pita Costa, Kristijan Cagran, Athanasios Chaldeakis:
Vessel and Port Efficiency Metrics through Validated AIS data. - Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. - Neil McGlohon, Christopher D. Carothers:
Unbiased Deterministic Total Ordering of Parallel Simulations with Simultaneous Events. - Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark. - Sayantan Chowdhury, Ben Liang, Ali Tizghadam, Ilijc Albanese:
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing. - Lucy Lu Wang, Isabel Cachola, Jonathan Bragg, Evie Yu-Yen Cheng, Chelsea Haupt, Matt Latzke, Bailey Kuehl, Madeleine van Zuylen, Linda Wagner, Daniel S. Weld:
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users. - Ziming Li, Julia Kiseleva, Maarten de Rijke:
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. - Haoyue Ping, Julia Stoyanovich:
Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences. - Rafhael R. Cunha, Jomi Fred Hübner, Maiquel de Brito:
Coupling purposes with status-functions in artificial institutions. - Zhiyang Li, Ming Chen, Zhaohui Yang, Jingwen Zhao, Yinlu Wang, Jianfeng Shi, Chongwen Huang:
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks with NOMA. - Nikita Araslanov, Stefan Roth:
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation. - Marcus Saraiva, Avelino Forechi, Jorcy de Oliveira Neto, Antonio DelRey, Thomas Rauber:
Data-driven Full-waveform Inversion Surrogate using Conditional Generative Adversarial Networks. - Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu:
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization. - Guangyi Zhang, Ali Etemad:
Distilling EEG Representations via Capsules for Affective Computing. - Yiming Sun, Yang Guo, Joel A. Tropp, Madeleine Udell:
Tensor Random Projection for Low Memory Dimension Reduction. - Daniela di Serafino, Germana Landi, Marco Viola:
Directional TGV-based image restoration under Poisson noise. - Hugh Chen, Scott M. Lundberg, Su-In Lee:
Explaining a Series of Models by Propagating Local Feature Attributions. - Paul Burkhardt:
Triangle Centrality. - Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang:
On the Hardness of Scheduling With Non-Uniform Communication Delays. - Yisroel Mirsky:
IPatch: A Remote Adversarial Patch. - Jinkyu Lee, Muhyun Back, Sung Soo Hwang, Il Yong Chun:
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames. - James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon:
QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing. - Rabin Yu Acharya, Fatemeh Ganji, Domenic Forte:
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis. - Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran:
Lux: Always-on Visualization Recommendations for Exploratory Data Science. - Cosmin Pohoata, Dmitriy Zakharov:
On the trifference problem for linear codes. - Daniel Appelö, Kiera van der Sande, Nathan Albin:
Fourier Continuation Discontinuous Galerkin Methods for Linear Hyperbolic Problems. - Maha Riad, Fatemeh Golpayegani:
Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems. - Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos:
Sparse Pose Trajectory Completion. - José Eduardo Carvajal-Rubio, Juan Diego Sánchez-Torres, Michael Defoort, Mohamed Djemai, Alexander G. Loukianov:
On the Efficient Implementation of an Implicit Discrete-Time Differentiator. - Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition. - Tainã Coleman, Henri Casanova, Rafael Ferreira da Silva:
WfChef: Automated Generation of Accurate Scientific Workflow Generators. - Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos:
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. - Nikolay Ivanov, Jianzhi Lou, Ting Chen, Jin Li, Qiben Yan:
Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts. - Bo Liu, Haoxiang Li, Hao Kang, Nuno Vasconcelos, Gang Hua:
Semi-supervised Long-tailed Recognition using Alternate Sampling. - Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi:
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures. - Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, Guanbin Li:
Cross-Modal Self-Attention with Multi-Task Pre-Training for Medical Visual Question Answering. - Erich Merrill, Stefan Lee, Fuxin Li, Thomas G. Dietterich, Alan Fern:
Deep Convolution for Irregularly Sampled Temporal Point Clouds. - Tianci Huang, Matthew J. Zahr:
A robust, high-order implicit shock tracking method for simulation of complex, high-speed flows. - Yulei Liao, Pingbing Ming, Yun Xu:
A family of mixed finite elements for nearly incompressible strain gradient elastic models. - Chong Li, Lei Zhang, Serbiao Fang:
EntrapNet: a Blockchain-Based Verification Protocol for Trustless Computing. - Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Jun He, Xiaoyong Du:
SVT-Net: A Super Light-Weight Network for Large Scale Place Recognition using Sparse Voxel Transformers. - Yuta Koreeda, Christopher D. Manning:
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser. - Hiroshi Saito:
Theoretical Analysis for Determining Geographical Route of Cable Network with Various Disaster-Endurance Levels. - Yian Yin, Yuxiao Dong, Kuansan Wang, Dashun Wang, Benjamin F. Jones:
Science as a Public Good: Public Use and Funding of Science. - Kasra Mokhtari, Alan R. Wagner:
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network. - Mansour Naslcheraghi, Constant Wette, Brunilde Sansò:
Probabilistic Analysis of Operating Modes in Cache-Enabled Full-Duplex D2D Networks. - Charles X. Ling, Tanner A. Bohn:
A Deep Learning Framework for Lifelong Machine Learning. - Shuiwang Li, Qijun Zhao, Ziliang Feng, Li Lu:
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking. - Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac, Piotr Mirowski, Dylan Banarse, Simon Osindero:
Generative Art Using Neural Visual Grammars and Dual Encoders. - Konstantinos Ntontin, Alexandros-Apostolos A. Boulogeorgos, Emil Björnson, Dimitrios Selimis, Wallace Alves Martins, Sergi Abadal, Angeliki Alexiou, Fotis I. Lazarakis, Steven Kisseleff, Symeon Chatzinotas:
Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting. - Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. - Yao-Fei Cheng, Hung-Shin Lee, Hsin-Min Wang:
AlloST: Low-resource Speech Translation without Source Transcription. - Daniel Szelogowski:
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers. - Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang:
Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant. - Qing Yang, Hao Wang:
Distributed Energy Trading Management for Renewable Prosumers with HVAC and Energy Storage. - Qazwan Abdullah, Adeeb Salh, Nor Shahida Mohd Shah, Noorsaliza Abdullah, Lukman Audah, Shipun Anuar Hamzah, Nabil Farah, Maged Aboali, Shahilah Nordin:
A Brief Survey And Investigation Of Hybrid Beamforming For Millimeter Waves In 5G Massive MIMO Systems. - Jinghua Yu, Stefan Wagner, Bowen Wang, Feng Luo:
A systematic mapping study on security countermeasures of in-vehicle communication systems. - Shahroz Tariq, Sangyup Lee, Simon S. Woo:
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. - Uli Fahrenberg, Christian Johansen, Georg Struth, Krzysztof Ziemianski:
lr-Multisemigroups and Modal Convolution Algebras. - Ozan Özdenizci, Deniz Erdogmus:
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. - Bahar Uddin Mahmud, Afsana Sharmin:
Deep Insights of Deepfake Technology : A Review. - Hyungjin Chung, Jong Chul Ye:
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. - Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. - Xing Liu:
High-accuracy time discretization of stochastic fractional diffusion equation. - Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali, Syed Hamid Hasan, M. Afshar Alam:
Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators. - Nicoletta Fornara, Soheil Roshankish, Marco Colombetti:
A Framework for Automatic Monitoring of Norms that regulate Time Constrained Actions. - Safinah Ali, Nisha Devasia, Cynthia Breazeal:
Designing Games for Enabling Co-creation with Social Agents. - Michelangelo Acconcjaioco, Stavros Ntalampiras:
One-shot learning for acoustic identification of bird species in non-stationary environments. - Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza, Olivier Déforges:
Adversarial Example Detection for DNN Models: A Review. - Erwan Mahe, Christophe Gaston, Pascale Le Gall:
A structural operational semantics for interactions with a look at loops. - Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. - Serge Kas Hanna, Rawad Bitar:
Detecting Deletions and Insertions in Concatenated Strings with Optimal Redundancy. - Pinar Uluer, Hatice Kose, Agnieszka Landowska, Tatjana Zorcec, Ben Robins, Duygun Erol Barkana:
Child-Robot Interaction Studies During COVID-19 Pandemic. - Davide Grossi:
Lecture Notes on Voting Theory. - Kensuke Nakamura, Simon Korman, Byung-Woo Hong:
Stabilization of generative adversarial networks via noisy scale-space. - Micah Gorsline, James Smith, Cory E. Merkel:
On the Adversarial Robustness of Quantized Neural Networks. - Michael Ruderman:
Inversion-free feedforward hysteresis control using Preisach operator. - Saurabh Jain, Guokai Tang, Lim Sze Chi:
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization. - Maneet Singh, Shruti Nagpal, Mayank Vatsa, Richa Singh:
Enhancing Fine-Grained Classification for Low Resolution Images. - Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang:
FedProto: Federated Prototype Learning over Heterogeneous Devices. - Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan:
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement. - Wei Guo, Benedetta Tondi, Mauro Barni:
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification. - Zhuangwei Shi:
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation. - Sarenne Wallbridge, Peter Bell, Catherine Lai:
It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system. - Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Tao Yu, Zerong Zheng, Qionghai Dai, Yebin Liu:
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras. - Lin Zhou, Alfred O. Hero III:
Achievable Resolution Limits for the Noisy Adaptive 20 Questions Problem. - Nicolas Boullé, Christopher J. Earls, Alex Townsend:
Data-driven discovery of physical laws with human-understandable deep learning. - Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li:
Lite-FPN for Keypoint-based Monocular 3D Object Detection. - Wilhelm Hasselbring:
Benchmarking as Empirical Standard in Software Engineering Research. - Patrick Koopmann:
Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics (Extended Version). - Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang:
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment. - Ruijie Yang, Yunhong Wang, Yuanfang Guo:
A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation. - Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys:
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning. - Andreas Galanis, Leslie Ann Goldberg, Andrés Herrera-Poyatos:
The complexity of approximating the complex-valued Ising model on bounded degree graphs. - Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu:
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts. - Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. - Mohammad Samar Ansari:
A Single-Layer Asymmetric RNN: Potential Low Hardware Complexity Linear Equation Solver. - Hovhannes Harutyunyan, Denis Pankratov, Jesse Racicot:
Online Domination: The Value of Getting to Know All your Neighbors. - Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. - Andreas Hessenthaler, Robert D. Falgout, Jacob B. Schroder, Adelaide de Vecchi, David Nordsletten, Oliver Röhrle:
Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time. - Arman Malekzadeh, Amin Gheibi, Ali Mohades:
PREDICT: Persian Reverse Dictionary. - Ali Hamdi, Amr Aboeleneen, Khaled B. Shaban:
MARL: Multimodal Attentional Representation Learning for Disease Prediction. - Alexandru-Iosif Toma, Hussein Ali Jaafar, Hao-Ya Hsueh, Stephen James, Daniel Lenton, Ronald Clark, Sajad Saeedi:
Waypoint Planning Networks. - Yao Zheng, Shekh Md Mahmudul Islam, Yanjun Pan, Marionne Millan, Samson Aggelopoulos, Brian Lu, Alvin Yang, Thomas Yang, Stephanie Aelmore, Willy Chang, Alana Power, Ming Li, Olga Boric-Lubecke, Victor Lubecke, Wenhai Sun:
Technical Report: Insider-Resistant Context-Based Pairing for Multimodality Sleep Apnea Test. - Preethi V, Nachiappan Sundaram, Ravindra Babu Tallamraju:
Online Fashion Commerce: Modelling Customer Promise Date. - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
t-Entropy: A New Measure of Uncertainty with Some Applications. - Alireza Vahid, Shih-Chun Lin, I-Hsiang Wang, Yi-Chun Lai:
Content Delivery over Broadcast Erasure Channels with Distributed Random Cache. - Zixuan Zhao, Nathan Wycoff, Neil Getty, Rick Stevens, Fangfang Xia:
Neko: a Library for Exploring Neuromorphic Learning Rules. - Chandramouli K, Gopinath Ashok Kumar, Girish Satyanarayana, Ravindra Babu Tallamraju:
A Game Theoretic Algorithm for Elite Customer Identification in Online Fashion E-Commerce. - Kuan Xu, Chen Wang, Chao Chen, Wei Wu:
A Robust Object Encoding Method. - Marshall Ho, Zhipeng Zhou, Judith He:
When to Fold'em: How to answer Unanswerable questions. - Fadi M. Alladkani, James Akl, Berk Çalli:
ECNNs: Ensemble Learning Methods for Improving Planar Grasp Quality Estimation.