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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.