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ORCIDCoRR, September 2020
- Victoria Lin, Jeffrey M. Girard, Michael A. Sayette, Louis-Philippe Morency:
Toward Multimodal Modeling of Emotional Expressiveness. - Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. - Hamed Rahimi, Yvan Picaud, Salvatore Costanzo, Giyyarpuram Madhusudan, Olivier Boissier, Kamal Deep Singh:
Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond. - Benjamin Lee, Xiaoyun Hu, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer:
Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment. - Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter
, Steven Mark Drucker, Tim Dwyer:
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality. - Sigmar K. Stefánsson, Hákon Guðbjartsson:
SparkGOR: A unified framework for genomic data analysis. - Aakriti Agrawal, Aashay Anil Bhise, Rohitkumar Arasanipalai, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose:
Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method. - Boris Chetverushkin, Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang:
Computational multiscale methods for quasi-gas dynamic equations. - Subhadeep Sahoo, Xiao Han Dong, Zi Qian Liu, Joydeep Sahoo:
Under Water Waste Cleaning by Mobile Edge Computing and Intelligent Image Processing Based Robotic Fish. - Afaf Taïk, Soumaya Cherkaoui:
Federated Edge Learning : Design Issues and Challenges. - Jonas Lukasczyk, Christoph Garth, Ross Maciejewski, Julien Tierny:
Localized Topological Simplification of Scalar Data. - Moe Sabry, Reza Samavi, Douglas Stebila:
ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work. - Shuyu Lin, Ronald Clark:
LaDDer: Latent Data Distribution Modelling with a Generative Prior. - Dadi Bi, Apostolos Almpanis, Adam Noel, Yansha Deng, Robert Schober:
A Survey of Molecular Communication in Cell Biology: Establishing a New Hierarchy for Interdisciplinary Applications. - Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau:
Mapping Researchers with PeopleMap. - Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. - Dongjie Wang, Yan Yang, Shangming Ning:
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction. - Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang:
Adversarial Eigen Attack on Black-Box Models. - Balaram Behera:
Sorting an Array Using the Topological Sort of a Corresponding Comparison Graph. - Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders:
Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups. - Young-min Song, Moongu Jeon:
Online Multi-Object Tracking and Segmentation with GMPHD Filter and Simple Affinity Fusion. - Elena Celledoni, James Jackaman:
Discrete conservation laws for finite element discretisations of multisymplectic PDEs. - William Falcon, Kyunghyun Cho:
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach. - Manal El Tanab, Walaa Hamouda:
Fast Grant Learning-Based Approach for Machine Type Communications with NOMA. - Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey, Jens Lehmann:
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs. - Patrik Christen, Olivier Del Fabbro:
Adaptation in a System Metamodel for Evolutionary Computation. - Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli:
The Computational Capacity of Memristor Reservoirs. - David Eppstein:
On Polyhedral Realization with Isosceles Triangles. - Avinash Kulkarni, Tristan Vaccon:
Super-linear convergence in the p-adic QR-algorithm. - Yahya Alnashri, Hasan Alzubaidi:
A gradient Discretisation Method For Anisotropic Reaction Diffusion Models with applications to the dynamics of brain tumours. - Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec:
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. - Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan:
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering. - Ioannis Kordonis, Athanasios-Rafail Lagos, George P. Papavassilopoulos:
Nash Social Distancing Games with Equity Constraints: How Inequality Aversion Affects the Spread of Epidemics. - Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael J. Black, Timo Bolkart:
GIF: Generative Interpretable Faces. - Jasmin James, Jason J. Ford, Jenna Riseley, Timothy L. Molloy:
Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations. - Thomas Führer:
Multilevel decompositions and norms for negative order Sobolev spaces. - Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. - John Erickson, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses:
LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes. - Dinh Hoa Nguyen:
Optimal Solution Analysis and Decentralized Mechanisms for Peer-to-Peer Energy Markets. - Qifan Zhang, Yue Guan, Panagiotis Tsiotras:
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation. - Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen:
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs. - Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang:
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation. - Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. - Yang Wang:
A Mathematical Introduction to Generative Adversarial Nets (GAN). - Songtao Feng, Jing Yang:
Precoding and Scheduling for AoI Minimization in MIMO Broadcast Channels. - Jack Downes:
LoRaWAN Temperature Sensors for Local Government Asset Management. - Asif Ashraf Patankar, Hyeonjoon Moon:
Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm. - Tony Liu, Amirali Amirsoleimani, Fabien Alibart, Serge Ecoffey, Dominique Drouin, Roman Genov:
AIDX: Adaptive Inference Scheme to Mitigate State-Drift in Memristive VMM Accelerators. - Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden:
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. - Vincent Cohen-Addad, Philip N. Klein, Dániel Marx:
On the computational tractability of a geographic clustering problem arising in redistricting. - Likun Liu, Hua Qi:
Object Detection-Based Variable Quantization Processing. - Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. - Sehi L'Yi, Jaemin Jo, Jinwook Seo:
Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions. - Karthik Sankaranarayanan, Chit-Kwan Lin, Gautham N. Chinya:
Helper Without Threads: Customized Prefetching for Delinquent Irregular Loads. - Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen:
Evasion Attacks to Graph Neural Networks via Influence Function. - Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi:
On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks. - Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, Shiliang Pu:
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation. - Zhiqi Tang, Rita Cunha, Tarek Hamel, Carlos Silvestre:
Bearing-only formation control under persistence of excitation. - Yang Liu, Guanbin Li, Liang Lin:
Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. - Runjian Chen, Yue Wang, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Rong Xiong:
A Samplable Multimodal Observation Model for Global Localization and Kidnapping. - Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao:
Visual Causality Analysis of Event Sequence Data. - Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa A. Vidal-Calleja, Rudolph Triebel:
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments. - Mitul S. Nagar, Haresh A. Suthar, Chintan Panchal:
RISC micrprocessor verification. - Samuel Reinders, Matthew Butler, Kim Marriott:
"Hey Model!" - Natural User Interactions and Agency in Accessible Interactive 3D Models. - Baosheng Yu, Dacheng Tao:
Heatmap Regression via Randomized Rounding. - Mustefa Jibril, Messay Tadese, Eliyas Alemayehu Tadese:
Design and Simulation of Voltage Amplidyne System using Robust Control Technique. - Ukachi Osisiogu:
Semantic Sentiment Analysis Based on Probabilistic Graphical Models and Recurrent Neural Network. - Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal:
Dynamics of node influence in network growth models. - Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang:
A Survey of Deep Active Learning. - Thanh Tung Khuat, Bogdan Gabrys:
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network. - Usman Ali, Bayram Bayramli, Hongtao Lu:
Temporal Continuity Based Unsupervised Learning for Person Re-Identification. - Feng Tian, Wendi Feng, Yang Zhang, Zhi-Li Zhang:
A Novel Software-based Multi-path RDMA Solutionfor Data Center Networks. - Ben Zevenbergen, Allison Woodruff, Patrick Gage Kelley:
Explainability Case Studies. - Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Thomas Ertl, Lingyun Yu, Peiran Ren, Yingcai Wu:
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning. - Rafael Ferreira da Silva, Loïc Pottier, Tainã Coleman, Ewa Deelman, Henri Casanova:
WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development - Technical Report. - Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, Kimmo Kaski:
Internal migration and mobile communication patterns among pairs with strong ties. - Lexing Ying:
A heuristic independent particle approximation to determinantal point processes. - Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis:
Boosting House Price Predictions using Geo-Spatial Network Embedding. - Fabio Poiesi, Davide Boscaini:
Distinctive 3D local deep descriptors. - Von Ralph Dane Marquez Herbuela, Tomonori Karita, Yoshiya Furukawa, Yoshinori Wada, Shuichiro Senba, Eiko Onishi, Tatsuo Saeki:
Children with PIMD/SMID expressive behaviors: Development and testing of ChildSIDE app, the first step for independent communication and mobility. - Mohammad Keshavarzi, Clayton Hutson, Chin-Yi Cheng, Mehdi Nourbakhsh, Michael Bergin, Mohammad Rahmani Asl:
SketchOpt: Sketch-based Parametric Model Retrieval for Generative Design. - Zheng Zhang, Lu Lv, Qingqing Wu, Hao Deng, Jian Chen:
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks. - Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano:
Personalization in Human Activity Recognition. - Benedikt Klaer, Ömer Sen, Dennis van der Velde, Immanuel Hacker, Michael Andres, Martin Henze:
Graph-based Model of Smart Grid Architectures. - Bingqian Lu, Jianyi Yang, Shaolei Ren:
Scaling Up Deep Neural Network Optimization for Edge Inference. - Qin Yang, Ramviyas Parasuraman:
Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions. - Andrew Adamatzky, Alessandro Chiolerio, Georgios Ch. Sirakoulis:
On resistive spiking of fungi. - Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. - Necati Cihan Camgöz, Oscar Koller, Simon Hadfield, Richard Bowden:
Multi-channel Transformers for Multi-articulatory Sign Language Translation. - Cezara Benegui, Radu Tudor Ionescu:
To augment or not to augment? Data augmentation in user identification based on motion sensors. - Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng:
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow. - Sören Henning, Wilhelm Hasselbring:
Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines. - Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He:
PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection. - Andreea Iana, Heiko Paulheim:
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings. - James R. Riehl, Jonathan Ward:
Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger. - Bing Liu, Anzhu Yu, Pengqiang Zhang, Lei Ding, Wenyue Guo, Kuiliang Gao, Xibing Zuo:
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification. - Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. - Christophe Lecoutre, Nicolas Szczepanski:
PYCSP3: Modeling Combinatorial Constrained Problems in Python. - Yi Lou, Ruofan Sun, Julian Cheng, DongHu Nie, Gang Qiao:
Secrecy Outage Analysis of Two-Hop Decode-and-Forward Mixed RF/UWOC Systems. - Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf:
Learning explanations that are hard to vary. - Antonio Hernández Martínez, S. Woo, Héctor Corrales Sánchez, Ignacio Parra, E. Kim, David Fernández Llorca, Miguel Ángel Sotelo:
3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation. - Fatima N. Al-Aswadi, Chan Huah Yong, Keng Hoon Gan:
Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning. - Vivek Nallur:
Landscape of Machine Implemented Ethics. - Idris Kempf, Stephen R. Duncan, Paul J. Goulart, Guenther Rehm:
Multi-Array Electron Beam Stabilization using Block-Circulant Transformation and Generalized Singular Value Decomposition. - Adrian Llopart:
LiftFormer: 3D Human Pose Estimation using attention models. - Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux:
POSEIDON: Privacy-Preserving Federated Neural Network Learning. - Haining Zheng, Antonio R. Paiva, Christopher S. Gurciullo:
Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT. - Michael Schuster, Elisa Strauch, Martin Gugat, Jens Lang:
Probabilistic Constrained Optimization on Flow Networks. - João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro:
Railgun: streaming windows for mission critical systems. - Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang:
A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem. - Charlotte Laclau, Franck Iutzeler, Ievgen Redko:
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. - Koji Oishi, Kentaro Sakuwa:
Structural balance of alliance and rivalry networks in international relations. - Aleksandr E. Kolesov, Petr N. Vabishchevich:
Numerical recovery of the piecewise constant leading coefficient of an elliptic equation. - Ken Hayami, Kota Sugihara:
GMRES on singular systems revisited. - Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali, Taotao Cai, Timos Sellis, Mark Reynolds:
Top-k Socio-Spatial Co-engaged Location Selection for Social Users. - Giuseppe Corrente:
Performance issues in content dissemination to metropolitan mobile users. - Kanav Gupta, Mithilesh Kumar, Håvard Raddum:
Obtuse Lattice Bases. - Hanqing Tian, Jun Ni, Zirui Li, Jibin Hu:
Autonomous Formula Racecar: Overall System Design and Experimental Validation. - Xiaokai Chen, Xiaoguang Gu, Libo Fu:
Boosting share routing for multi-task learning. - Davide Ancona, Angelo Ferrando, Viviana Mascardi:
Can determinism and compositionality coexist in RML? 13-32 - Fatemeh Jahedpari:
Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique. - Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. - Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu:
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning. - Shivam Agarwal, Shahid Latif, Fabian Beck:
How Visualization PhD Students Cope with Paper Rejections. - Dieter Morgenroth, Stefan Reinhardt, Daniel Weiskopf, Bernhard Eberhardt:
Efficient 2D Simulation on Moving 3D Surfaces. - Konstantinos Dovelos, Boris Bellalta:
A Scheduling Policy for Downlink OFDMA in IEEE 802.11ax with Throughput Constraints. - Yannick Forster:
Church's thesis and related axioms in Coq's type theory. - Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik, Anusha Mujumdar, Alexandros Nikou, Alessandro Previti, Vaishnavi Sundararajan, Aneta Vulgarakis Feljan:
Machine Reasoning Explainability. - Thomas Apel, Volker Kempf:
Pressure-robust error estimate of optimal order for the Stokes equations on domains with edges. - Anita Mehta, Jean-Marc Luck:
Hearings and mishearings: decrypting the spoken word. - Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese:
Solving the single-track train scheduling problem via Deep Reinforcement Learning. - Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. - Vamsi K. Vegamoor, Sivakumar Rathinam, Swaroop Darbha:
Safety of Connected Vehicle Platoons. - Haris Mansoor, Naveed Arshad:
Market Model for Demand Response under Block Rate Pricing. - Xun Xian, Xinran Wang, Mingyi Hong, Jie Ding, Reza Ghanadan:
Imitation Privacy. - Michael P. Frank, Robert W. Brocato, Brian D. Tierney, Nancy A. Missert, Alexander H. Hsia:
Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOS. - Sungsoo Ray Hong, Sonia Castelo, Vito D'Orazio, Christopher Bethune, Aécio S. R. Santos, Scott Langevin, David Jonker, Enrico Bertini, Juliana Freire:
Towards Evaluating Exploratory Model Building Process with AutoML Systems. - Bruno Brandoli, Gabriel Spadon, Travis J. Esau, Patrick Hennessy, André C. P. L. F. de Carvalho, José F. Rodrigues Jr., Sihem Amer-Yahia:
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods. - Baoling Sheen, Jin Yang, Xianglong Feng, Md Moin Uddin Chowdhury:
A Digital Twin for Reconfigurable Intelligent Surface Assisted Wireless Communication. - Harideep Nair, John Paul Shen, James E. Smith:
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing. - Oliver Horst, Uwe Baumgarten:
toki: A Build- and Test-Platform for Prototyping and Evaluating Operating System Concepts in Real-Time Environments. - Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Correlated Graph Matching. - Bruno Bauwens:
Precise Expression for the Algorithmic Information Distance. - Monica Arul, Ahsan Kareem:
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform. - Biqian Feng, Yongpeng Wu, Mengfan Zheng, Xiang-Gen Xia, Yongjian Wang, Chengshan Xiao:
Large Intelligent Surface Aided Physical Layer Security Transmission. - Cong Li, Yongchao Wang, Fangzhou Liu, Martin Buss:
Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances. - Dimitris Floros, Tiancheng Liu, Nikos Pitsianis, Xiaobai Sun:
Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks. - Froilán M. Dopico, María C. Quintana, Paul Van Dooren:
Diagonal scalings for the eigenstructure of arbitrary pencils. - Philip Miller:
Variational Regularization Theory Based on Image Space Approximation Rates. - Philomène Chagniot, Flavian Vasile, David Rohde:
From Clicks to Conversions: Recommendation for long-term reward. - James Wright:
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity. - Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. - Oliver Horst, Johannes Wiesböck, Raphael Wild, Uwe Baumgarten:
Quantifying the Latency and Possible Throughput of External Interrupts on Cyber-Physical Systems. - Marc Tonsen, Chris Kay Baumann, Kai Dierkes:
A High-Level Description and Performance Evaluation of Pupil Invisible. - Allen Riddell, Troy J. Bassett:
What Library Digitization Leaves Out: Predicting the Availability of Digital Surrogates of English Novels. - Frédéric Boussemart, Christophe Lecoutre, Gilles Audemard, Cédric Piette:
XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems. - Peng Xu, Gaojie Chen, Gaofeng Pan, Marco Di Renzo:
Ergodic Secrecy Capacity of RIS-Assisted Communication Systems in the Presence of Discrete Phase Shifts and Multiple Eavesdroppers. - Daniele Vernon-Bido, Andrew J. Collins:
Finding Core Members of Cooperative Games using Agent-Based Modeling. - Weikai Li, Songcan Chen:
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. - Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Machine Learning System Design. - Phan The Duy, Do Thi Thu Hien, Van-Hau Pham:
A survey on Blockchain-based applications for reforming data protection, privacy and security. - Deepika Garg, Sashikumaar Ganesan:
Generalized local projection stabilized finite element method for advection-reaction problems. - Mohsen Shahhosseini, Guiping Hu:
Improved Weighted Random Forest for Classification Problems. - Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail:
Training Deep Neural Networks with Constrained Learning Parameters. - Mikhail Jacob, Sam Devlin, Katja Hofmann:
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games. - Waheeda Saib, Tapiwa M. Chiwewe, Elvira Singh:
Hierarchical Deep Learning Classification of Unstructured Pathology Reports to Automate ICD-O Morphology Grading. - Kamwoo Lee, Jeanine Braithwaite:
High-Resolution Poverty Maps in Sub-Saharan Africa. - Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim:
MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales. - Noptanit Chotisarn, Junhua Lu, Libinzi Ma, Jingli Xu, Linhao Meng, Bingru Lin, Ying Xu, Xiaonan Luo, Wei Chen:
Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study. - Emily J. Evans, Rebecca Jones, Joseph Leung, Benjamin Z. Webb:
Using Social Networks to Improve Group Transition Prediction in Professional Sports. - Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza:
Flightmare: A Flexible Quadrotor Simulator. - Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis:
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. - Jordan F. Masakuna, Simukai W. Utete, Steve Kroon:
Performance-Agnostic Fusion of Probabilistic Classifier Outputs. - Ali Ahmadi Dastjerdi, Alessandro Astolfi, S. Hassan HosseinNia:
Frequency Domain Stability Method for Reset Systems. - Deepika Garg, Sashikumaar Ganesan:
An overlapping local projection stabilization for Galerkin approximations of Darcy and Stokes problems. - Alberto Badías, Icíar Alfaro, David González, Francisco Chinesta, Elías Cueto:
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM. - Jun Li, Wanrong Hong, Yusheng Xiang:
A Short Review on Data Modelling for Vector Fields. - Matthew Evanusa, Cornelia Fermüller, Yiannis Aloimonos:
A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP. - Giovanni Barbarino, Antonio Cicone:
Conjectures on spectral properties of ALIF algorithm. - Catherine Dubois:
Formally Verified Transformation of Non-binary Constraints into Binary Constraints. - Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. - Yanyu Zhang, Xiu Wang, Xuan Wu, Wenjing Zhang, Meiqian Jiang, Mahmood Al-Khassaweneh:
Intelligent Hotel ROS-based Service Robot. - Salvatore Giorgi, Sharath Chandra Guntuku, Muhammad Rahman, McKenzie Himelein-Wachowiak, Amy Kwarteng, Brenda Curtis:
Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020. - Marc Böhlen, Wawan Sujarwo:
Return to Bali. - Taylor J. Smith, Kai Salomaa:
Recognition and Complexity Results for Projection Languages of Two-Dimensional Automata. - Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Recognition. - Xiaoqi Li, Ting Chen, Xiapu Luo, Jiangshan Yu:
Characterizing Erasable Accounts in Ethereum. - Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel T. Fox:
Identifying Documents In-Scope of a Collection from Web Archives. - Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemöller:
NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits. - Hongbo Rong:
Building Application-Specific Overlays on FPGAs with High-Level Customizable IPs. - Yogesh S. Rawat, Shruti Vyas:
View-invariant action recognition. - Chen Wang, Yuheng Qiu, Sebastian A. Scherer:
Lifelong Graph Learning. - Henry N. Ward, Daniel J. Brooks, Dan Troha, Bobby Mills, Arseny S. Khakhalin:
AI solutions for drafting in Magic: the Gathering. - Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari:
Robust, Accurate Stochastic Optimization for Variational Inference. - Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. - Hans Riess, Yiannis Kantaros, George J. Pappas, Robert Ghrist:
Distributed Locally Non-interfering Connectivity via Linear Temporal Logic. - Ilia Rushkin:
Document Similarity from Vector Space Densities. - Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
The connections between Lyapunov functions for some optimization algorithms and differential equations. - Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng:
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. - Brian L. Davis, Chris Tensmeyer, Brian L. Price, Curtis Wigington, Bryan S. Morse, Rajiv Jain:
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines. - Mohammed Alsuwaiket, Christian W. Dawson, Firat Batmaz:
Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining. - Yutong Ban, Guy Rosman, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
Aggregating Long-Term Context for Learning Surgical Workflows. - Vandana Mittal, Setareh Maghsudi, Ekram Hossain:
Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game. - Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. - Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen:
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. - Georg Anegg, Haris Angelidakis, Rico Zenklusen:
Simpler and Stronger Approaches for Non-Uniform Hypergraph Matching and the Füredi, Kahn, and Seymour Conjecture. - Javier López-Martínez, Javier Castillo, Daniel García Vallejo, Alfredo Alcayde, Francisco G. Montoya:
A new electromechanical analogy approach based on electrostatic coupling for vertical dynamic analysis of planar vehicle models. - Suhong Kim, Hamed RahmaniKhezri, Seyed Mohammad Nourbakhsh, Mohamed Hefeeda:
Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors. - Gang Chen, Bernardo Cockburn, John R. Singler, Yangwen Zhang:
Superconvergent Interpolatory HDG methods for reaction diffusion equations II: HHO-inspired methods. - Allan P. Engsig-Karup, Wojciech Laskowski:
Efficient p-multigrid spectral element model for water waves and marine offshore structures. - Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian:
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis. - Steven Kearnes:
Pursuing a Prospective Perspective. - Vladimir A. Dorodnitsyn, Evgenii I. Kaptsov:
Invariant conservative difference schemes for shallow water equations in Eulerian and Lagrangian coordinates. - Aurelian Bejancu:
Uniformly bounded Lebesgue constants for scaled cardinal interpolation with Matérn kernels. - Kyungeun Lee, Moonjung Eo, Euna Jung, Yoonjin Yoon, Wonjong Rhee:
Short-term Traffic Prediction with Deep Neural Networks: A Survey. - Mohammad Bakhshalipour, Mehran Shakerinava, Fatemeh Golshan, Ali Ansari, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad:
A Survey on Recent Hardware Data Prefetching Approaches with An Emphasis on Servers. - Nael Rahman, Vladimir Shpilrain:
MAKE: a Matrix Action Key Exchange. - Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying:
Subtask Analysis of Process Data Through a Predictive Model. - Shu Wang, Jiahao Cao, Xu He, Kun Sun, Qi Li:
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition. - Krist Wongsuphasawat:
Encodable: Configurable Grammar for Visualization Components. - Jinho Choi:
On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO. - Davide Rigoni, Nicolò Navarin, Alessandro Sperduti:
Conditional Constrained Graph Variational Autoencoders for Molecule Design. - Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia:
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization. - Matthew Abate, Corbin Klett, Samuel Coogan, Eric Feron:
Performance Analysis and Non-Quadratic Lyapunov Functions for Linear Time-Varying Systems. - Alejandro Allendes, Francisco Fuica, Enrique Otárola:
Error estimates for a pointwise tracking optimal control problem of a semilinear elliptic equation. - Colin Shea-Blymyer, Houssam Abbas:
A Deontic Logic Analysis of Autonomous Systems' Safety. - Hoang-Dung Bui, Son Nguyen, Umme Hafsa Billah, Chuong Le, Alireza Tavakkoli, Hung M. La:
Control Framework for a Hybrid-steel Bridge Inspection Robot. - Shubhra Aich, Jean Marie Uwabeza Vianney, Md. Amirul Islam, Mannat Kaur, Bingbing Liu:
Bidirectional Attention Network for Monocular Depth Estimation. - Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos:
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. - Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin W. Bowyer, Adam Czajka, Stephanie Schuckers, Juan E. Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross:
Iris Liveness Detection Competition (LivDet-Iris) - The 2020 Edition. - Alaul Islam, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck, Petra Isenberg:
Visualizing information on watch faces: A survey with smartwatch users. - Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. - Irina Kostitsyna, Cai Wood, Damien Woods:
Turning machines. - Matt Shannon:
Properties of f-divergences and f-GAN training. - Drew Schmidt:
A Survey of Singular Value Decomposition Methods for Distributed Tall/Skinny Data. - Peixuan Li:
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training. - Xuerui Zhang, Yuan Xia:
LSMVOS: Long-Short-Term Similarity Matching for Video Object. - Yanchao Sun, Furong Huang:
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. - Alan Sun:
A perception centred self-driving system without HD Maps. - Su Pang, Daniel Morris, Hayder Radha:
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection. - Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. - Qiang Li, Miaowen Wen, Marco Di Renzo:
Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation. - Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. - Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying with Budgets. - Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. - Anupam Gupta, Roie Levin:
Fully-Dynamic Submodular Cover with Bounded Recourse. - Andrew J. Lohn:
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance. - Hamza Ali Imran, Usama Mujahid, Saad Wazir, Usama Latif, Kiran Mehmood:
Embedded Development Boards for Edge-AI: A Comprehensive Report. - Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. - Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding:
Receiver Design for OTFS with Fractionally Spaced Sampling Approach. - Anupam Gupta, Benjamin Moseley, Rudy Zhou:
Structural Iterative Rounding for Generalized k-Median Problems. - Jungho Ahn, Eun Jung Kim, Euiwoong Lee:
Towards constant-factor approximation for chordal / distance-hereditary vertex deletion. - Jyh-Ming Lien, Vikram Sharma, Gert Vegter, Chee Yap:
Isotopic Arrangement of Simple Curves: an Exact Numerical Approach based on Subdivision. - Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel:
Open-set Adversarial Defense. - Charles Lehman, Dogancan Temel, Ghassan AlRegib:
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption. - Chaemin Lee, Jongho Park:
A variational framework for the strain-smoothed element method. - Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar:
A reinforcement learning approach to hybrid control design. - Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma:
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. - Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick:
Scaling Attributed Network Embedding to Massive Graphs. - Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. - Ruiki Kobayashi, Shogo Muramatsu:
Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks. - Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian:
Intrinsic Relationship Reasoning for Small Object Detection. - Xian Wu, Moses Charikar:
Nearest Neighbor Search for Hyperbolic Embeddings. - Waytehad Moskolaï, Wahabou Abdou, Albert Dipanda, Dina Taiwé Kolyang:
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series. - Pranjay Shyam, Antyanta Bangunharcana, Kyung-Soo Kim:
Retaining Image Feature Matching Performance Under Low Light Conditions. - Florent Foucaud, Hervé Hocquard, Suchismita Mishra, Narayanan Narayanan, Reza Naserasr, Éric Sopena, Petru Valicov:
Exact square coloring of subcubic planar graphs. - George Labahn, Mohab Safey El Din, Éric Schost, Thi Xuan Vu:
Homotopy techniques for solving sparse column support determinantal polynomial systems. - Wouter M. Kouw:
Online system identification in a Duffing oscillator by free energy minimisation. - Jean-Charles Faugère, George Labahn, Mohab Safey El Din, Éric Schost, Thi Xuan Vu:
Computing critical points for invariant algebraic systems. - Bharath Ramesh, Shihao Zhang, Hong Yang, Andrés Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang:
e-TLD: Event-based Framework for Dynamic Object Tracking. - Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, Prabadevi B, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana:
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions. - Ishani Mondal, Debasis Ganguly:
ALEX: Active Learning based Enhancement of a Model's Explainability. - Rabiul Hasan Kabir, Kooktae Lee:
Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory. - Sangkeum Lee, Hojun Jin, Luiz Felipe Vecchietti, Junhee Hong, Ki-Bum Park, Dongsoo Har:
Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production. - Maurice Tchoupé Tchendji, Milliam Maxime Zekeng Ndadji:
Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document. - Zhe Lin, Jieru Zhao, Sharad Sinha, Wei Zhang:
HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis. - Ibrahim Batuhan Akkaya, Ugur Halici:
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. - Debjyoti Bhattacharjee, Anupam Chattopadhyay, Srijit Dutta, Ronny Ronen, Shahar Kvatinsky:
CONTRA: Area-Constrained Technology Mapping Framework For Memristive Memory Processing Unit. - Oleg Lobachev, Moritz Berthold, Birte S. Steiniger, Henriette Pfeffer, Michael Guthe:
Inspection of histological 3D reconstructions in virtual reality. - Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation. - Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao:
A Practical Chinese Dependency Parser Based on A Large-scale Dataset. - Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. - Sanghun Park, Kwanggyoon Seo, Junyong Noh:
Neural Crossbreed: Neural Based Image Metamorphosis. - Wen Zhang, Lingfei Deng, Dongrui Wu:
Overcoming Negative Transfer: A Survey. - Sina J. Semnani, Manish Pandey:
Revisiting the Open-Domain Question Answering Pipeline. - Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericàs:
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments. - Matthias De Lange, Tinne Tuytelaars:
Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. - Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern, Wolfgang Paier, Ingo Feldmann, Oliver Schreer, Peter Eisert:
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances. - Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee:
Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. - Jan N. Hombeck, Li Ji, Kai Lawonn, Charles Perin:
A Study of Opacity Ranges for Transparent Overlays in 3D Landscapes. - Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. - Jianwen Lou, Xiaoxu Cai, Junyu Dong, Hui Yu:
Real-time 3D Facial Tracking via Cascaded Compositional Learning. - Xiaoxu Cai, Hui Yu, Jianwen Lou, Xuguang Zhang, Gongfa Li, Junyu Dong:
3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network. - Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao:
Structure-Aware Generation Network for Recipe Generation from Images. - Christos Koutlis, Symeon Papadopoulos, Manos Schinas, Ioannis Kompatsiaris:
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting. - Bernadett Stadler, Roberto Biasi, Mauro Manetti, Ronny Ramlau:
Real-time implementation of an iterative solver for atmospheric tomography. - (Withdrawn) Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures.
- Kun Zhan, Chaoxi Niu:
Mutual Teaching for Graph Convolutional Networks. - Zeyu Cao, Xiaorun Li, Liaoying Zhao:
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification. - Sabin Devkota, Pascal Aschwanden, Adam Kunen, Matthew P. LeGendre, Katherine E. Isaacs:
CcNav: Understanding Compiler Optimizations in Binary Code. - Arthur-Jozsef Molnar, Simona Motogna:
A Study of Maintainability in Evolving Open-Source Software. - Chen Ma, Li Chen, Jun-Hai Yong:
MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks. - Laura Giordano, Daniele Theseider Dupré:
A framework for a modular multi-concept lexicographic closure semantics. - Anton A. Pyrkin, Alexey A. Bobtsov, Alexey A. Vedyakov, Romeo Ortega, Anastasiia O. Vediakova, Madina Sinetova:
A Flux and Speed Observer for Induction Motors with Unknown Rotor Resistance and Load Torque and no Persistent Excitation Requirement. - Clemens Kupke, Dirk Pattinson, Lutz Schröder:
Coalgebraic Reasoning with Global Assumptions in Arithmetic Modal Logics. - Brian Gaudet:
Adaptive Scale Factor Compensation for Missiles with Strapdown Seekers via Predictive Coding. - Haihang Wang, Fares J. Abu-Dakka, Tran Nguyen Le, Ville Kyrki, He Xu:
A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping. - Xin Wu, Jianyu Wu, Ming-Hui Zhou, Zhi-Qiang Wang, Li-Yun Yang:
Analysis of open source license selection for the GitHub programming community. - Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi:
Perceiving Humans: from Monocular 3D Localization to Social Distancing. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation. - Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung:
Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media. - Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey of Machine Learning Accelerators. - J. López-González, Juan M. Serrano:
The Optics of Language-Integrated Query. - Maximiliano Cristiá, Gianfranco Rossi:
An Automatically Verified Prototype of the Tokeneer ID Station Specification. - Michael Hanus, Claudio Sacerdoti Coen:
Pre-Proceedings of the 28th International Workshop on Functional and Logic Programming (WFLP 2020). - Jun Qi, Xu Liu, Javier Tejedor:
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. - Omar Mossad, Amgad Ahmed, Anandharaju Raju, Hari Karthikeyan, Zayed Ahmed:
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERT. - Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury:
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation. - Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Cross-Utterance Language Models with Acoustic Error Sampling. - Alina Nitzke, Benjamin Niedermann, Luciana Fenoglio-Marc, Jürgen Kusche, Jan-Henrik Haunert:
Reconstructing the Dynamic Sea Surface from Tide Gauge Records Using Optimal Data-Dependent Triangulations. - Semin Kwak, Nikolas Geroliminis:
Travel time prediction for congested freeways with a dynamic linear model. - Nick Baumann, Samuel Steffen, Benjamin Bichsel, Petar Tsankov, Martin T. Vechev:
zkay v0.2: Practical Data Privacy for Smart Contracts. - Hammond Pearce, Benjamin Tan, Ramesh Karri:
DAVE: Deriving Automatically Verilog from English. - Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. - Haiwei Wu, Jiantao Zhou:
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction. - Haiwei Wu, Jiantao Zhou, Yuanman Li:
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention. - Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen:
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification. - Petr Svarný, Jakub Rozlivek, Lukas Rustler, Matej Hoffmann:
3D Collision-Force-Map for Safe Human-Robot Collaboration. - Alessio Sarullo, Tingting Mu:
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. - Reza Khanmohammadi, Seyed Abolghasem Mirroshandel:
Defeating Author Gender Identification with Text Style Transfer. - Jiuniu Wang, Wenjia Xu, Xingyu Fu, Guangluan Xu, Yirong Wu:
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition. - Richard Khoury, Marc-André Larochelle:
Generalisation of Cyberbullying Detection. - Bibek Upadhayay, Vahid Behzadan:
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification. - Thai Le, Suhang Wang, Dongwon Lee:
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models. - James-Andrew Sarmiento:
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders. - Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. - Aiqing Zhu, Pengzhan Jin, Yifa Tang:
Inverse modified differential equations for discovery of dynamics. - Akram Hussain:
Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data. - Jingyi Hou, Yunde Jia, Xinxiao Wu, Yayun Qi:
Video Captioning Using Weak Annotation. - Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen:
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint. - Isotta Landi, Veronica Mandelli, Michael V. Lombardo:
reval: a Python package to determine the best number of clusters with stability-based relative clustering validation. - Tewodros W. Ayalew, Jordan R. Ubbens, Ian Stavness:
Unsupervised Domain Adaptation For Plant Organ Counting. - Marcelo Ponce, Amit Sandhel:
covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic. - Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms. - Mohammadreza Hazhirpasand, Mohammad Ghafari, Oscar Nierstrasz:
Java Cryptography Uses in the Wild. - Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fiérrez, Christoph Busch:
Face Image Quality Assessment: A Literature Survey. - Cezara Benegui, Radu Tudor Ionescu:
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors. - Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki:
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. - Ahmad Hazimeh, Adrian Herrera, Mathias Payer:
Magma: A Ground-Truth Fuzzing Benchmark. - Andreas Züfle:
Uncertain Spatial Data Management: An Overview. - Carlos Novo, Ricardo Morla:
Flow-based detection and proxy-based evasion of encrypted malware C2 traffic. - Isabelle van der Vegt, Bennett Kleinberg, Paul Gill:
Too good to be true? Predicting author profiles from abusive language. - Wang Zhou, Shiyu Chang, Norma E. Sosa, Hendrik F. Hamann, David D. Cox:
Lifelong Object Detection. - Dmitri Kuzmin, Manuel Quezada de Luna, David I. Ketcheson, Johanna Grüll:
Bound-preserving convex limiting for high-order Runge-Kutta time discretizations of hyperbolic conservation laws. - David Alfter:
An exploratory study of L1-specific non-words. - Stella Civelli, Enrico Forestieri, Marco Secondini:
Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation. - Marsel Matdinov:
Circuit Satisfiability Problem for circuits of small complexity. - Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall:
Long-Term Anticipation of Activities with Cycle Consistency. - Shweta Shinde, Jinhua Cui, Satyaki Sen, Pinghai Yuan, Prateek Saxena:
Binary Compatibility For SGX Enclaves. - Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani:
On the existence of hidden machines in computational time hierarchies. - Hamed Ayoobi, S. Hamidreza Kasaei, Ming Cao, Rineke Verbrugge, Bart Verheij:
Local-HDP: Interactive Open-Ended 3D Object Categorization. - Sepehr Assadi, Ran Raz:
Near-Quadratic Lower Bounds for Two-Pass Graph Streaming Algorithms. - Luigi Musto, Andrea Zinelli:
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. - Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper:
An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction. - Sean I. Young, Zhe Wang, David Taubman, Bernd Girod:
Transform Quantization for CNN Compression. - Tung D. Nguyen, Jeffrey Uhlmann:
Canonical Tensor Scaling. - Yuxuan Li, Mingcheng Chen, Yaojian Chen, Haitian Lu, Lin Gan, Chao-Yang Lu, Jian-Wei Pan, Haohuan Fu, Guangwen Yang:
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight. - Paolo Mantovani, Davide Giri, Giuseppe Di Guglielmo, Luca Piccolboni, Joseph Zuckerman, Emilio G. Cota, Michele Petracca, Christian Pilato, Luca P. Carloni:
Agile SoC Development with Open ESP. - Sagar Kora Venu:
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images. - Zhongyang Li:
Exact Recovery of Community Detection in k-Community Gaussian Mixture Model. - Ece Çigdem Mutlu, Toktam A. Oghaz, Jasser Jasser, Ege Tütüncüler, Amirarsalan Rajabi, Aida Tayebi, Özlem Özmen Garibay, Ivan Garibay:
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. - Maryam Rahnemoonfar, Tashnim Chowdhury, Robin R. Murphy, Odair Fernandes:
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment. - Svetlana Kyas, Diego Tavares Volpatto, Martin O. Saar, Allan M. M. Leal:
Accelerated reactive transport simulations in heterogeneous porous medium using Reaktoro and Firedrake. - Avishek Garain:
Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media. - Marcus Aloysius Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. - Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen:
An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization. - Neil A. Ernst, Jeffrey C. Carver, Daniel Méndez, Marco Torchiano:
Understanding Peer Review of Software Engineering Papers. - Biswanath Dutta, Michael DeBellis:
CODO: An Ontology for Collection and Analysis of Covid-19 Data. - Michael J. Lyons:
Excavating "Excavating AI": The Elephant in the Gallery. - Stefan Kiefer:
Notes on Equivalence and Minimization of Weighted Automata. - Anamay Chaturvedi, Huy L. Nguyen, Eric Z. Xu:
Differentially private k-means clustering via exponential mechanism and max cover. - Nathan O. Lambert, Craig B. Schindler, Daniel S. Drew, Kristofer S. J. Pister:
Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning. - Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman:
Seeing wake words: Audio-visual Keyword Spotting. - Roland Maier:
A high-order approach to elliptic multiscale problems with general unstructured coefficients. - John A. Christian, Harm Derksen, Ryan Watkins:
Lunar Crater Identification in Digital Images. - Marialejandra García-Corretjer, David Miralles, Raquel Ros:
A Theoretical Approach for a Novel Model to Realizing Empathy. - Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi:
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). - Jan Kallberg, Rosemary A. Burk, Bhavani Thuraisingham:
COVID-19: The Information Warfare Paradigm Shift. - Amogh Gudi, Xin Li, Jan van Gemert:
Efficiency in Real-time Webcam Gaze Tracking. - Sirui Xie, Shoukang Hu, Xinjiang Wang, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
Understanding the wiring evolution in differentiable neural architecture search. - Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation. - Alain Couvreur, Hugues Randriambololona:
Algebraic geometry codes and some applications. - Jeremy E. Block, Eric D. Ragan:
Micro-entries: Encouraging Deeper Evaluation of Mental Models Over Time for Interactive Data Systems. - Pouyan Asgharian, Zati Hakim Azizul:
Proposed Efficient Design for Unmanned Surface Vehicles. - Will Pazner, Tzanio V. Kolev:
Uniform subspace correction preconditioners for discontinuous Galerkin methods with hp-refinement. - Maria Carmela De Bonis, Donatella Occorsio, Woula Themistoclakis:
Filtered interpolation for solving Prandtl's integro-differential equations. - Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA). - Mao Ye, Lin Guan, Mohammed Quddus:
TDMP-Reliable Target Driven and Mobility Prediction based Routing Protocol in Complex VANETs. - Sasi Kiran Gaddipati, Deebul Nair, Paul G. Plöger:
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer Grading. - Amifa Raj, Connor Wood, Ananda Montoly, Michael D. Ekstrand:
Comparing Fair Ranking Metrics. - Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant:
A Simple Global Neural Discourse Parser. - Nisan Stiennon, Long Ouyang, Jeff Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul F. Christiano:
Learning to summarize from human feedback. - Dennis Renz, Sibylle Schwarz, Johannes Waldmann:
Check Your (Students') Proofs-With Holes. - Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Based on Distance-based Separability Measure. - Alessandro Fabris, Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto:
Gender Stereotype Reinforcement: Measuring the Gender Bias Conveyed by Ranking Algorithms. - Jip Kim, Sylwia Bialek, Burcin Unel, Yury Dvorkin:
Strategic Policymaking for Implementing Renewable Portfolio Standards: A Tri-level Optimization Approach. - Cristhian Montoya:
A numerical study of third-order equation with time-dependent coefficients: KdVB equation. - Jorge Peña Queralta, Li Qingqing, Eduardo Castelló Ferrer, Tomi Westerlund:
Secure Encoded Instruction Graphs for End-to-End Data Validation in Autonomous Robots. - Shyam Narayanan, Michael Ren:
Circular Trace Reconstruction. - Aaron J. Kogon, Costas D. Sarris:
An Expedient Approach to FDTD-based Modeling of Finite Periodic Structures. - Gregor Gantner, Dirk Praetorius:
Plain convergence of adaptive algorithms without exploiting reliability and efficiency. - Luca Versari, Iulia M. Comsa, Alessio Conte, Roberto Grossi:
Zuckerli: A New Compressed Representation for Graphs. - Aurélien Serre, Didier Chételat, Andrea Lodi:
Change Point Detection by Cross-Entropy Maximization. - Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores:
Bid Shading in The Brave New World of First-Price Auctions. - Russel Caflisch, Denis Silantyev, Yunan Yang:
Adjoint DSMC for nonlinear Boltzmann equation constrained optimization. - Giulio Giaconi, Deniz Gündüz, H. Vincent Poor:
Smart Meter Data Privacy. - Mruganka Kashyap, Laurent Lessard:
Agent-level optimal LQG control of dynamically decoupled systems with processing delays. - Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan Seltzer, Trevor Zeffiro, Ajay Sharma, Mahendra Bhandari:
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III). - Nathan Tsoi, Yofti Milkessa, Marynel Vázquez:
A Heaviside Function Approximation for Neural Network Binary Classification. - Biswadeep Chakraborty, Dinil Mon Divakaran, Ido Nevat, Gareth W. Peters, Mohan Gurusamy:
Cost-aware Feature Selection for IoT Device Classification. - Ayman Mukhaimar, Ruwan B. Tennakoon, Chow Yin Lai, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
Robust Object Classification Approach using Spherical Harmonics. - Xuejing Lei, Ganning Zhao, C.-C. Jay Kuo:
NITES: A Non-Parametric Interpretable Texture Synthesis Method. - Felix O. Sumari, Luigy Machaca, Jose Huaman, Esteban Walter Gonzalez Clua, Joris Guérin:
Towards Practical Implementations of Person Re-Identification from Full Video Frames. - Pooria Dehghanian, Ju Hee Yeo, Jessica Wert, Hanyue Li, Komal S. Shetye, Thomas J. Overbye:
Application of Transformer Impedance Correction Tables in Power Flow Studies. - Zohreh Azizi, Xuejing Lei, C.-C. Jay Kuo:
Noise-Aware Texture-Preserving Low-Light Enhancement. - Xianmin Xu:
A variational analysis for the moving finite element method for gradient flows. - (Withdrawn) A Partial Regularization Method for Network Compression.
- Jacob M. Springer, Garrett T. Kenyon:
It's Hard for Neural Networks To Learn the Game of Life. - Jianping Kelvin Li, Kwan-Liu Ma:
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics. - Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Owl Eyes: Spotting UI Display Issues via Visual Understanding. - José Hugo C. Gaspar Elsas, Nicholas A. G. Casaprima, Ivan F. M. Menezes:
Accelerating engineering design by automatic selection of simulation cases through Pool-Based Active Learning. - Maria V. Vasilyeva, Valentin Alekseev, Eric T. Chung, Yalchin Efendiev:
Multiscale dimension reduction for flow and transport problems in thin domain with reactive boundaries. - Yuan Fang, Chunyan Xu, Zhen Cui, Yuan Zong, Jian Yang:
Spatial Transformer Point Convolution. - Younghoon Kim, Jeffrey Heer:
Gemini: A Grammar and Recommender System for AnimatedTransitions in Statistical Graphics. - Zhe Lin, Sharad Sinha, Wei Zhang:
Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA. - Zhe Lin, Sharad Sinha, Wei Zhang:
An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power. - Alejandro Parada-Mayorga, Alejandro Ribeiro:
Algebraic Neural Networks: Stability to Deformations. - Zhe Lin, Wei Zhang, Sharad Sinha:
Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA. - Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. - Priyanka Mandikal, Kristen Grauman:
Dexterous Robotic Grasping with Object-Centric Visual Affordances. - Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng, Wei Zhang:
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors. - Srinivasan Ravichandran, Drona Khurana, Bharath Venkatesh, Narayanan Unny Edakunni:
FairXGBoost: Fairness-aware Classification in XGBoost. - Sara Evensen, Chang Ge, Dongjin Choi, Çagatay Demiralp:
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions. - Saad Al Muttakee, Abu Reyan Ahmed, Md. Saidur Rahman:
New Results and Bounds on Online Facility Assignment Problem. - Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Wei Liu, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. - Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai:
Learning to Infer User Hidden States for Online Sequential Advertising. - Enyan Dai, Suhang Wang:
FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information. - Wei Su, Xueqiao Wang, Ge Chen, Kai Shen:
Quasi-synchronization of bounded confidence opinion dynamics with stochastic asynchronous rule. - Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas:
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces. - Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki:
orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. - Jae-Mo Kang, Sunghwan Moon:
Error estimate for a universal function approximator of ReLU network with a local connection. - Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong:
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks. - Damla Çay, Till Nagel, Asim Evren Yantaç:
Understanding User Experience of COVID-19 Maps through Remote Elicitation Interviews. - Da He, Xiaoyu Shang, Jiajia Luo:
Adherent Mist and Raindrop Removal from a Single Image Using Attentive Convolutional Network. - Nicholas Wilkins, Beck Cordes Galbraith, Ifeoma Nwogu:
Modeling Global Body Configurations in American Sign Language. - Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang:
TAP-Net: Transport-and-Pack using Reinforcement Learning. - Jordan T. Bishop, Marcus Gallagher:
Optimality-based Analysis of XCSF Compaction in Discrete Reinforcement Learning. - Jiansong Zhang, Jiang Zhu:
An optimal convergence analysis of the hybrid Raviart-Thomas mixed discontinuous Galerkin method for the Helmholtz equation. - Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, Balaji Krishnamurthy:
TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. - Maike Buchin, Anne Driemel, Dennis Rohde:
Approximating (k, 𝓁)-Median Clustering for Polygonal Curves. - Yuyan Bao, Kirshanthan Sundararajah, Raghav Malik, Qianchuan Ye, Christopher Wagner, Fei Wang, Mohammad Hassan Ameri, Donghang Lu, Alexander Seto, Benjamin Delaware, Roopsha Samanta, Aniket Kate, Christina Garman, Jeremiah Blocki, Pierre-David Letourneau, Benoît Meister, Jonathan Springer, Tiark Rompf, Milind Kulkarni:
HACCLE: An Ecosystem for Building Secure Multi-Party Computations. - Qiang Chen, Yu Zhao, Guanghui Wen, Guoqing Shi, Xinghuo Yu:
Fixed-Time Cooperative Tracking Control for Double-Integrator Multi-Agent Systems: A Time-Based Generator Approach. - Alexander Jung:
Explainable Empirical Risk Minimization. - Ran Tian, Liting Sun, Masayoshi Tomizuka:
Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem. - Gregor Bankhamer, Robert Elsässer, Stefan Schmid:
Local Fast Rerouting with Low Congestion: A Randomized Approach. - Vincenzo Bonifaci, Enrico Facca, Frederic Folz, Andreas Karrenbauer, Pavel Kolev, Kurt Mehlhorn, Giovanna Morigi, Golnoosh Shahkarami, Quentin Vermande:
Physarum Multi-Commodity Flow Dynamics. - Álvaro Pé de la Riva, Carmen Rodrigo, Francisco José Gaspar:
A two level method for isogeometric discretizations. - Bartosz Walter, Branko Marovic, Ivan Garnizov, Marcin Wolski, Andrijana Todosijevic:
Best practices for software maturity improvement: a GÉANT case study. - Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju:
DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control. - Loïc Cudennec:
Software-Distributed Shared Memory for Heterogeneous Machines: Design and Use Considerations. - Junrui Tian, Zhiying Tu, Zhongjie Wang, Xiaofei Xu, Min Liu:
User Intention Recognition and Requirement Elicitation Method for Conversational AI Services. - Xavier Dahan, Tristan Vaccon:
On a non-archimedean broyden method. - Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva, Luis Gustavo Nonato, Cláudio T. Silva:
TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data. - Shao-Bo Lin, Xiangyu Chang, Xingping Sun:
Kernel Interpolation of High Dimensional Scattered Data. - Steffen Herbold, Tobias Haar:
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects. - Yikuan Li, Hanyin Wang, Yuan Luo:
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. - Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence. - Lukas Hewing, Marcel Menner, Nikolaos Tachatos, Marianne Schmid Daners, Cosima du Pasquier, Thomas S. Lumpe, Kristina Shea, Andrea Carron, Melanie N. Zeilinger:
Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. - Diego Freire, Sergi Robles, Carlos Borrego:
Towards a Methodology for the Development of Routing Algorithms in Opportunistic Networks. - Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet:
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. - Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers:
Physics-based Shading Reconstruction for Intrinsic Image Decomposition. - Yotaro Seki, Shinpei Hayashi, Motoshi Saeki:
Detecting Bad Smells in Use Case Descriptions. - Avery Miller, Ullash Saha:
Fast Byzantine Gathering with Visibility in Graphs. - Dilip J. Hiremath, Martin Claus, Wilhelm Hasselbring, Willi Rath:
Automated identification of metamorphic test scenarios for an ocean-modeling application. - Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter:
Sample-Efficient Automated Deep Reinforcement Learning. - Arthur-Jozsef Molnar, Alexandra Neamtu, Simona Motogna:
Evaluation of Software Product Quality Metrics. - Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai:
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. - Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Biomedical named entity recognition using BERT in the machine reading comprehension framework. - Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. - Marc Hanussek, Matthias Blohm, Maximilien Kintz:
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark. - Boseong Felipe Jeon, Dongseok Shim, H. Jin Kim:
Detection-Aware Trajectory Generation for a Drone Cinematographer. - Sotiris E. Nikoletseas, Christoforos L. Raptopoulos, Paul G. Spirakis:
MAX CUT in Weighted Random Intersection Graphs and Discrepancy of Sparse Random Set Systems. - Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Remote Joint Strong Coordination and Reliable Communication. - Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy:
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. - Giulia Cervia, Germán Bassi, Mikael Skoglund:
Secure Strong Coordination. - Vasco Lopes, Luís A. Alexandre:
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head. - Stefano Bianchini, Moritz Müller, Pierre Pelletier:
Deep Learning in Science. - Adrian Lopez Rodriguez, Krystian Mikolajczyk:
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency. - Duy Thanh Nguyen, Hyun Kim, Hyuk-Jae Lee:
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors. - Andreas Frommer, Claudia Schimmel, Marcel Schweitzer:
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions. - Efthymios N. Karatzas, Gianluigi Rozza:
A Reduced Order Model for a stable embedded boundary parametrized Cahn-Hilliard phase-field system based on cut finite elements. - Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe, Fatemeh Kazemi, Emina Soljanin:
Service Rate Region: A New Aspect of Coded Distributed System Design. - Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg:
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. - Hootan Alavizadeh, Hooman Alavizadeh, Julian Jang-Jaccard:
Cyber Situation Awareness Monitoring and Proactive Response for Enterprises on the Cloud. - Attila Egri-Nagy, Antti Törmänen:
Derived metrics for the game of Go - intrinsic network strength assessment and cheat-detection. - Mansi Sood, Osman Yagan:
On the Size of the Giant Component in Inhomogeneous Random K-out Graphs. - Emilio Garcia-Fidalgo, Francisco Bonnín-Pascual, Joan P. Company-Corcoles, Alberto Ortiz:
Evaluation of a Skill-based Control Architecture for a Visual Inspection-oriented Aerial Platform. - Botao Peng:
Data Series Indexing Gone Parallel. - Zixuan Xiao, Ping Zhong, Yuan Quan, Xuping Yin, Wei Xue:
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images. - Menua Gevorgyan:
Modification method for single-stage object detectors that allows to exploit the temporal behaviour of a scene to improve detection accuracy. - Arnie L. Van Buren:
Calculation of oblate spheroidal wave functions with complex argument. - Saaduddin Mahmud, Md. Mosaddek Khan, Nicholas R. Jennings:
On Population-Based Algorithms for Distributed Constraint Optimization Problems. - Jiuniu Wang, Wenjia Xu, Xingyu Fu, Yang Wei, Li Jin, Ziyan Chen, Guangluan Xu, Yirong Wu:
SRQA: Synthetic Reader for Factoid Question Answering. - Michele Battagliola, Riccardo Longo, Alessio Meneghetti, Massimiliano Sala:
A Provably-Unforgeable Threshold EdDSA with an Offline Recovery Party. - Kaixuan Long, Ying Cui, Chencheng Ye, Zhi Liu:
Optimal Wireless Streaming of Multi-Quality 360 VR Video by Exploiting Natural, Relative Smoothness-enabled and Transcoding-enabled Multicast Opportunities. - Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan:
Message Dissemination in Connected Vehicles. - Marin Orsic, Petra Bevandic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Multi-domain semantic segmentation with pyramidal fusion. - Hongyinping Feng, Xiao-hui Wu, Bao-Zhu Guo:
Dynamics Compensation in Observation of Abstract Linear Systems. - Anav Mehta:
Augmented Reality Chess Analyzer (ARChessAnalyzer): In-Device Inference of Physical Chess Game Positions through Board Segmentation and Piece Recognition using Convolutional Neural Network. - Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar:
Indoor Localization Techniques Within a Home Monitoring Platform. - Zhiming Chen, Ke Li, Xueshuang Xiang:
An adaptive high-order unfitted finite element method for elliptic interface problems. - Bakary Kone, Salimata Gueye Diagne, Dethie Dione, Coumba Diallo:
Analysis of an M/G/1 system for the optimization of the RTG performances in the delivery of containers in Abidjan Terminal. - Akanksha Baghel, Meemansa Rathod, Pradeep Singh:
Software Effort Estimation using parameter tuned Models. - Kai Dresia, Simon Jentzsch, Günther Waxenegger-Wilfing, Robson Hahn, Jan Christian Deeken, Michael Oschwald, Fabio Mota:
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives. - Felix Gaisbauer, Armin Pournaki, Sven Banisch, Eckehard Olbrich:
How Twitter affects the perception of public opinion: Two case studies. - Robert Prentner:
A Predictive Strategy for the Iterated Prisoner's Dilemma. - Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. - Xiangmin Jiao, Qiao Chen:
Approximate Generalized Inverses with Iterative Refinement for ε-Accurate Preconditioning of Singular Systems. - Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang:
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. - Radoslav Fulek, Michael J. Pelsmajer, Marcus Schaefer:
Strong Hanani-Tutte for the Torus. - Jasmeen Kaur, Sukhendu Das:
Future Frame Prediction of a Video Sequence. - Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: Automating Scaling Loss Detection with Graph Analysis. - Ralf Ramsauer, Lukas Bulwahn, Daniel Lohmann, Wolfgang Mauerer:
The Sound of Silence: Mining Security Vulnerabilities from Secret Integration Channels in Open-Source Projects. - Roza G. Bayrak, Nhung Hoang, Colin B. Hansen, Catie Chang, Matthew Berger:
PRAGMA: Interactively Constructing Functional Brain Parcellations. - Michal Beran, Frantisek Hrdina, Daniel Kouril, Radek Oslejsek, Kristína Zákopcanová:
Exploratory Analysis of File System Metadata for Rapid Investigation of Security Incidents. - Mujahid Sultan:
Linking Stakeholders' Viewpoint Concerns and Microservices-based Architecture. - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
A Design Framework for Epsilon-Private Data Disclosure. - James Barry, Joachim Wagner, Jennifer Foster:
The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task. - Gili Rusak, Lisa Yan:
Unique Exams: Designing assessments for integrity and fairness. - Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Exploring Artist Gender Bias in Music Recommendation. - Pablo Fondo-Ferreiro, Felipe J. Gil-Castiñeira, Francisco Javier González-Castaño, David Candal-Ventureira:
A Software-Defined Networking Solution for Transparent Session and Service Continuity in Dynamic Multi-Access Edge Computing. - Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink:
Multi-Loss Weighting with Coefficient of Variations. - Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark:
Grounded Language Learning Fast and Slow. - Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa:
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. - Jannik Fischbach, Henning Femmer, Daniel Méndez, Davide Fucci, Andreas Vogelsang:
What Makes Agile Test Artifacts Useful? An Activity-Based Quality Model from a Practitioners' Perspective. - Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra, Kiran B. Raja, Naser Damer, Christoph Busch:
MIPGAN - Generating Robust and High Quality Morph Attacks Using Identity Prior Driven GAN. - Vladimir P. Gerdt, Daniel Robertz, Yuri A. Blinkov:
Strong Consistency and Thomas Decomposition of Finite Difference Approximations to Systems of Partial Differential Equations. - Guanhua Fang, Owen G. Ward, Tian Zheng:
Online Community Detection for Event Streams on Networks. - Alyxander Burns, Cindy Xiong, Steven Franconeri, Alberto Cairo, Narges Mahyar:
How to evaluate data visualizations across different levels of understanding. - Lingzhi Zhao, Ying Cui, Chengjun Guo, Zhi Liu:
Optimal Streaming of 360 VR Videos with Perfect, Imperfect and Unknown FoV Viewing Probabilities. - Stefan Steinerberger:
Surrounding the solution of a Linear System of Equations from all sides. - Peter Benner, Heike Faßbender, Philip Saltenberger:
A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems. - Sarnath Ramnath, Venkata M. V. Gunturi:
Optimal Load Balanced Demand Distribution under Overload Penalties. - Weijia Wu, Ning Lu, Enze Xie:
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild. - Wolfgang Fischl, Georg Gottlob, Davide Mario Longo, Reinhard Pichler:
HyperBench: A Benchmark and Tool for Hypergraphs and Empirical Findings. - Erik C. Rye, Jeremy Blackburn, Robert Beverly:
Reading In-Between the Lines: An Analysis of Dissenter. - Erwan Mahe, Boutheina Bannour, Christophe Gaston, Arnault Lapitre, Pascale Le Gall:
A small-step approach to multi-trace checking against interactions. - Michael Oppermann, Tamara Munzner:
Data-First Visualization Design Studies. - Stefan C. Schonsheck:
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning. - Ghadir Ayache, Salim El Rouayheb:
Private Weighted Random Walk Stochastic Gradient Descent. - Danijar Hafner, Pedro A. Ortega, Jimmy Ba, Thomas Parr, Karl J. Friston, Nicolas Heess:
Action and Perception as Divergence Minimization. - Martin Mundt, Yong Won Hong, Iuliia Pliushch, Visvanathan Ramesh:
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning. - Jan van den Brand, Yin Tat Lee, Danupon Nanongkai, Richard Peng, Thatchaphol Saranurak, Aaron Sidford, Zhao Song, Di Wang:
Bipartite Matching in Nearly-linear Time on Moderately Dense Graphs. - Tsendsuren Munkhdalai:
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. - Renán Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg:
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation. - Aishwarya Pothula, Md Ashaduzzaman Rubel Mondol, Sanath Narasimhan, S. M. Mazharul Islam, Deokgun Park:
SEDRo: A Simulated Environment for Developmental Robotics. - Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. - Hagen Lehmann, Adam Rojik, Matej Hoffmann:
Should a small robot have a small personal space? Investigating personal spatial zones and proxemic behavior in human-robot interaction. - Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez, Eric Sadit Tellez:
A Python Library for Exploratory Data Analysis and Knowledge Discovery on Twitter Data. - Thibault Gauthier:
Tree Neural Networks in HOL4. - Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf:
Flow-edge Guided Video Completion. - J. Chen, Zhenyu Gao:
A Comprehensive Pipeline for Hotel Recommendation System. - Christopher L. Gorham:
Developing Enterprise Cyber Situational Awareness. - Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina, Felipe A. Mejia:
A general approach to bridge the reality-gap. - Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding:
ESMFL: Efficient and Secure Models for Federated Learning. - Zahra Tarkhani, Anil Madhavapeddy:
Sirius: Enabling System-Wide Isolation for Trusted Execution Environments. - Mrinalkanti Ghosh, Fernando Granha Jeronimo, Chris Jones, Aaron Potechin, Goutham Rajendran:
Sum-of-Squares Lower Bounds for Sherrington-Kirkpatrick via Planted Affine Planes. - Chen Fu, Chiyu Dong, Christoph Mertz, John M. Dolan:
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera. - Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Pierluigi Pierini, Alfonso Pierantonio:
Low-code Engineering for Internet of things: A state of research. - Said Jawad Saidi, Anna Maria Mandalari, Roman Kolcun, Hamed Haddadi, Daniel J. Dubois, David R. Choffnes, Georgios Smaragdakis, Anja Feldmann:
A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild. - Nicolai Kraus:
Internal ∞-Categorical Models of Dependent Type Theory: Towards 2LTT Eating HoTT. - Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs:
Model extraction from counterfactual explanations. - Priyanka Singh:
Robust Homomorphic Video Hashing. - Torin McDonald, Will Usher, Nate Morrical, Attila Gyulassy, Steve Petruzza, Frederick Federer, Alessandra Angelucci, Valerio Pascucci:
Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements. - Hao Peng, Misha Teplitskiy, David Jurgens:
Author Mentions in Science News Reveal Wide-Spread Ethnic Bias. - Peng Hu:
IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis. - Ryan G. McClarren, Nick A. Gentile:
Frequency-Dependent Material Motion Benchmarks for Radiative Transfer. - Suyun "Sandra" Bae, Federico Rossi, Joshua Vander Hook, Scott Davidoff, Kwan-Liu Ma:
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews. - Quintino Francesco Lotito, Alberto Montresor:
Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs. - Vedang M. Deshpande, Raktim Bhattacharya:
Sparse Sensing and Optimal Precision: Robust H∞ Optimal Observer Design with Model Uncertainty. - Alejandro Cohen, Rafael G. L. D'Oliveira, Salman Salamatian, Muriel Médard:
Network Coding-Based Post-Quantum Cryptography. - Arun Kumar Singh, Priyanka Singh:
Detection of AI-Synthesized Speech Using Cepstral & Bispectral Statistics. - Samarth Rawal, Chitta Baral:
Multi-Perspective Semantic Information Retrieval. - Blake Anderson, David A. McGrew:
Accurate TLS Fingerprinting using Destination Context and Knowledge Bases. - Alan Kuhnle:
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization. - Gustavo Padilha Polleti, Douglas Luan de Souza, Fábio Gagliardi Cozman:
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems. - Varigonda Pavan Teja, Priyadarshini Panda:
Compression-aware Continual Learning using Singular Value Decomposition. - Marcelo de Rezende Martins, Marco Aurélio Gerosa:
CoNCRA: A Convolutional Neural Network Code Retrieval Approach. - Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, Bilal Farooq:
Multimodal Autonomous Last Mile Delivery System Design and Application. - Mohammad Mukhtaruzzaman, Mohammed Atiquzzaman:
Clustering in VANET: Algorithms and Challenges. - Akira Matsui, Emilio Ferrara, Fred Morstatter, Andrés Abeliuk, Aram Galstyan:
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms. - Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi:
Attribute Adaptive Margin Softmax Loss using Privileged Information. - Zhouyu Lu, Zhichao Liu, Gustavo J. Correa, Konstantinos Karydis:
Motion Planning for Collision-resilient Mobile Robots in Obstacle-cluttered Unknown Environments with Risk Reward Trade-offs. - Hong-You Chen, Wei-Lun Chao:
FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning. - Leandro Freitas, Bruno Henrique Groenner Barbosa, Luis Antonio Aguirre:
Including steady-state information in nonlinear models: an application to the development of soft-sensors. - Rikhav Shah, Sandeep Silwal:
Smoothed analysis of the condition number under low-rank perturbations. - Mohammad Fasha, Bassam Hammo, Nadim Obeid, Jabir Widian:
A Hybrid Deep Learning Model for Arabic Text Recognition. - Yuanyu Zhang, Yulong Shen, Xiaohong Jiang, Shoji Kasahara:
Secure Millimeter-Wave Ad Hoc Communications Using Physical Layer Security. - Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou:
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. - Lei Zheng, Rui Yang, Jiesen Pan, Hui Cheng, Haifeng Hu:
Safe Online Learning Tracking Control for Quadrotors under Wind Disturbances. - Zichang He, Zheng Zhang:
High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression. - Diogo C. Luvizon, Hedi Tabia, David Picard:
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression. - Tarik Crnovrsanin, Shilpika, Senthil K. Chandrasegaran, Kwan-Liu Ma:
Staged Animation Strategies for Online Dynamic Networks. - Jiyang Yu, Ravi Ramamoorthi, Ke-Li Cheng, Michel Sarkis, Ning Bi:
Real-Time Selfie Video Stabilization. - Jaeseong Lee, Duseok Kang, Soonhoi Ha:
S3NAS: Fast NPU-aware Neural Architecture Search Methodology. - Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna:
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. - Chen Chen, Anrin Chakraborti, Radu Sion:
PEARL: Plausibly Deniable Flash Translation Layer using WOM coding. - Edmond Chow, Andreas Frommer, Daniel B. Szyld:
Asynchronous Richardson iterations. - Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. - Doyeon Kim, Donggyu Joo, Junmo Kim:
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator. - Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Francesco Franchina:
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems. - Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization For Graph Neural Networks. - Hooman Alavizadeh, Samin Aref, Dong Seong Kim, Julian Jang-Jaccard:
Evaluating the Security and Economic Effects of Moving Target Defense Techniques on the Cloud. - Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen Hoang Tran, Richard H. Middleton:
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks. - Mateusz Nurek, Radoslaw Michalski, Marian-Andrei Rizoiu:
Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits. - Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang:
Multivariate Time-series Anomaly Detection via Graph Attention Network. - Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots. - Fredrik Olsson, Magnus Sahlgren:
Data Readiness for Natural Language Processing. - Hongyinping Feng:
Delay Compensation for Regular Linear Systems. - Verena Haunschmid, Ethan Manilow, Gerhard Widmer:
Towards Musically Meaningful Explanations Using Source Separation. - Daniel Fürst, Matthias Miller, Daniel A. Keim, Alexandra Bonnici, Hanna Schäfer, Mennatallah El-Assady:
Augmenting Sheet Music with Rhythmic Fingerprints. - Foivos I. Diakogiannis, François Waldner, Peter Caccetta:
Looking for change? Roll the Dice and demand Attention. - Moshe Schorr, Oren Mishali, Benny Kimelfeld, Ophir Münz-Manor:
ViS-Á-ViS : Detecting Similar Patterns in Annotated Literary Text. - Hanchuan Xu, Xiao Wang, Yuxin Wang, Nan Li, Zhiying Tu, Zhongjie Wang, Xiaofei Xu:
Domain Priori Knowledge based Integrated Solution Design for Internet of Services. - Pengcheng Zhang, Feng Xiao, Xiapu Luo:
A Framework and DataSet for Bugs in Ethereum Smart Contracts. - Yuki Ishihara, Tristan Vaccon, Kazuhiro Yokoyama:
On FGLM Algorithms with Tropical Gröbner bases. - (Withdrawn) AutoTrans: Automating Transformer Design via Reinforced Architecture Search.
- Eleni Metheniti, Guenter Neumann, Josef van Genabith:
Linguistically inspired morphological inflection with a sequence to sequence model. - Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. - Seiji Ishihara, Harukazu Igarashi:
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. - Simon Brandeis, Adrian Jarret, Pierre Sevestre:
About Graph Degeneracy, Representation Learning and Scalability. - Liliia Ageeva, Maryam Majidi, David Pozo:
Coordination Between TSOs and DSOs: Flexibility Domain Identification. - Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper, Evgeniy Riabenko, Milan Vojnovic:
Scalable Prediction of Information Cascades over Arbitrary Time Horizons. - Iuliana Marin, Maria-Iuliana Bocicor, Arthur-Jozsef Molnar:
Cyber-Physical Platform for Preeclampsia Detection. - Alejandro Benito-Santos, Roberto Therón:
GlassViz: Visualizing Automatically-Extracted Entry Points for Exploring Scientific Corpora in Problem-Driven Visualization Research. - Nijat Mehdiyev, Peter Fettke:
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring. - Annalisa Greco, Francesco Cannizzaro, Riccardo Bruno, Alessandro Pluchino:
A nested genetic algorithm strategy for the optimal plastic design of frames. - Vincent D. Warmerdam, Thomas Kober, Rachael Tatman:
Going Beyond T-SNE: Exposing whatlies in Text Embeddings. - Alexander Barabanov, Denis Makrushin:
Authentication and authorization in microservice-based systems: survey of architecture patterns. - Youngwoo Yoon, Bok Cha, Joo-Haeng Lee, Minsu Jang, Jaeyeon Lee, Jaehong Kim, Geehyuk Lee:
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity. - Sebastian Mazza, Daniel Patel, Ivan Viola:
Homomorphic-Encrypted Volume Rendering. - Sayar Karmakar, Sanchari Das:
Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis. - Hannaneh Barahouei Pasandi, Tamer Nadeem:
Towards A Learning-Based Framework for Self-Driving Design of Networking Protocols. - Wei Duan, Yancheng Ji, Yan Zhang, Guoan Zhang, Valerio Frascolla, Xin Li:
5G Technologies Based Remote E-Health: Architecture, Applications, and Solutions. - Adam Pantanowitz, Kimoon Kim, Chelsey Chewins, Isabel N. K. Tollman, David M. Rubin:
Addressing the eye-fixation problem in gaze tracking for human computer interface using the Vestibulo-ocular Reflex. - Lukas Alber, Stefan More, Sebastian Ramacher:
Short-Lived Forward-Secure Delegation for TLS. - Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He:
A Practical Incremental Method to Train Deep CTR Models. - Joni Pajarinen:
Technical Report: The Policy Graph Improvement Algorithm. - Cornelis Jan van Leeuwen, Joost Stam, Arun Subramanian, Koen Kok:
Collaboratively Optimizing Power Scheduling and Mitigating Congestion using Local Pricing in a Receding Horizon Market. - Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Improving Self-Organizing Maps with Unsupervised Feature Extraction. - Matteo Giacomini, Luca Borchini, Rubén Sevilla, Antonio Huerta:
Separated response surfaces for flows in parametrised domains: comparison of a priori and a posteriori PGD algorithms. - Bernhard Eidel, Andreas Fischer, Ajinkya Gote:
From image data towards microstructure information - accuracy analysis at the digital core of materials. - Guangxu Zhu, Jie Xu, Kaibin Huang:
Over-the-Air Computing for 6G - Turning Air into a Computer. - Giacomo Nannicini:
On the implementation of a global optimization method for mixed-variable problems. - Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein:
Naive Artificial Intelligence. - Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks. - Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow:
Phenotypical Ontology Driven Framework for Multi-Task Learning. - Yechan Kim, Younkwan Lee, Moongu Jeon:
Imbalanced Image Classification with Complement Cross Entropy. - Jae Hyun Park, Ji Sub Choi, Jong Hwan Ko:
Dual Precision Deep Neural Network. - Igor Donevski, Jimmy Jessen Nielsen:
Dynamic Standalone Drone-Mounted Small Cells. - Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
InterLock: An Intercorrelated Logic and Routing Locking. - Niklas Smedemark-Margulies, Paul Langton, Huy L. Nguyen:
Fair and Useful Cohort Selection. - Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures. - Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or:
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis. - Haley Massa, Jeffrey Uhlmann:
Access-Adaptive Priority Search Tree. - Zeta Avarikioti, Lioba Heimbach, Roland Schmid, Roger Wattenhofer:
FnF-BFT: Exploring Performance Limits of BFT Protocols. - Cornelis Jan van Leeuwen, Przemyslaw Pawelczak:
Hybrid DCOP Solvers: Boosting Performance of Local Search Algorithms. - Taylor B. Arnold, Nathaniel Ayers, Justin Madron, Robert K. Nelson, Lauren Tilton:
Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface. - Lance Eliot:
Robustness and Overcoming Brittleness of AI-Enabled Legal Micro-Directives: The Role of Autonomous Levels of AI Legal Reasoning. - Eugenio Alcalá, Vicenç Puig, Joseba Quevedo, Olivier Sename:
Fast Zonotope-Tube-based LPV-MPC for Autonomous Vehicles. - Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu:
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. - Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel:
KILT: a Benchmark for Knowledge Intensive Language Tasks. - Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. - Tiemo Bang, Norman May, Ilia Petrov, Carsten Binnig:
AnyDB: An Architecture-less DBMS for Any Workload. - Konstantinos Arakadakis, Pavlos Charalampidis, Antonis Makrogiannakis, Alexandros G. Fragkiadakis:
Firmware over-the-air programming techniques for IoT networks - A survey. - Yongxin Liu, Jian Wang, Jianqiang Li, Houbing Song, Thomas Yang, Shuteng Niu, Zhong Ming:
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices. - Suyog Kapsikar, Indrajit Saha, Khushboo Agarwal, Veeraruna Kavitha, Quanyan Zhu:
Controlling Fake News by Tagging: A Branching Process Analysis. - Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. - Shashwat Sharma, Piero Triverio:
AIMx: An Extended Adaptive Integral Method for the Fast Electromagnetic Modeling of Complex Structures. - Hadi Mansourifar, Weidong Shi:
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack. - Tomas Vancisin, Mary Orr, Uta Hinrichs:
Externalizing Transformations of Historical Documents: Opportunities for Provenance-Driven Visualization. - Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin:
Chordal Decomposition for Spectral Coarsening. - Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.