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CoRR, July 2018
- Eun-Young Kang, Dongrui Mu, Li Huang:
Probabilistic Analysis of Weakly-Hard Real-Time Systems. - Serhiy O. Semerikov, Illia O. Teplytskyi, Yuliia V. Yechkalo:
Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. - Hanshen Xiao, Guoqiang Xiao:
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers. - Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You:
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. - Matthew P. Johnson:
Deciding the Closure of Inconsistent Rooted Triples is NP-Complete. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
An Efficient Data Warehouse for Crop Yield Prediction. - Julián Vicens, Josep Perelló, Jordi Duch:
Citizen Social Lab: A digital platform for human behaviour experimentation within a citizen science framework. - Jelena Milosevic, Dexmont Peña, Andrew Forembsky, David Moloney, Miroslaw Malek:
It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. - Matt Luckcuck, Marie Farrell, Louise A. Dennis, Clare Dixon, Michael Fisher:
Formal Specification and Verification of Autonomous Robotic Systems: A Survey. - Anand Venkatesan, Atishay Jain, Rakesh Grewal:
AI in Game Playing: Sokoban Solver. - Sanja Krakan, Luka Humski, Zoran Skocir:
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction. - Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. - Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida:
Fundamental Limits of Distributed Data Shuffling. - Pushpak Jagtap, Sadegh Soudjani, Majid Zamani:
Temporal Logic Verification of Stochastic Systems Using Barrier Certificates. - Alan Jeffrey:
Josephine: Using JavaScript to safely manage the lifetimes of Rust data. - Nadine Kroher, Aggelos Pikrakis:
Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend. - Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Lexing Xie:
GOTO Rankings Considered Helpful. - Joo-Kyung Kim, Young-Bum Kim:
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. - Ralf-Peter Mundani, Jérôme Frisch, Vasco Varduhn, Ernst Rank:
A sliding window technique for interactive high-performance computing scenarios. - Braden Hancock, Hongrae Lee, Cong Yu:
Title Generation for Web Tables. - Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra:
Stress-testing memcomputing on hard combinatorial optimization problems. - Tianyuan Sun, Yongcai Wang, Deying Li, Wenping Chen, Zhaoquan Gu:
Robust Component-based Network Localization with Noisy Range Measurements. - Piotr Indyk, Tal Wagner:
Approximate Nearest Neighbors in Limited Space. - Junyeong Seo, Youngchul Sung, Hamid Jafarkhani:
A High-Diversity Transceiver Design for K-User MISO Broadcast Channels. - Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. - Koji M. Kobayashi:
An optimal algorithm for 2-bounded delay buffer management with lookahead. - Sanaz Bahargam, Evangelos E. Papalexakis:
A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics. - Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. - Abigail Paradise, Dvir Cohen, Asaf Shabtai, Rami Puzis:
Generation of Automatic and Realistic Artificial Profiles. - Jason Ramapuram, Russ Webb:
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. - Andrei-Alexandru Agape, Madalin Claudiu Danceanu, René Rydhof Hansen, Stefan Schmid:
Charting the Security Landscape of Programmable Dataplanes. - Sharath Adavanne, Archontis Politis, Joonas Nikunen, Tuomas Virtanen:
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. - Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola:
Game-Theoretic Interpretability for Temporal Modeling. - Kannan Balakrishnan, Divya Sindhu Lekha:
Generalized Vertex Transitivity in Graphs. - Paola Giannini, Marco Servetto, Elena Zucca, James Cone:
Flexible recovery of uniqueness and immutability (Extended Version). - Chun-Hung Cheng, Iyiola E. Olatunji:
Harnessing constrained resources in service industry via video analytics. - Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu:
Fractional Wavelet Scattering Network and Applications. - Jérôme Frisch, Ralf-Peter Mundani:
Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures. - Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. - Nevena Perovic, Jérôme Frisch, Ralf-Peter Mundani, Ernst Rank:
Interactive data exploration for high-performance fluid flow computations through porous media. - Cyril Grunspan, Ricardo Pérez-Marco:
Ant routing algorithm for the Lightning Network. - Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis:
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. - Artur Poplawski:
Self-consistency of voting implies majority vote. - Ted Underwood:
The Historical Significance of Textual Distances. - Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao:
EnFuzz: From Ensemble Learning to Ensemble Fuzzing. - S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman:
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. - Pedro A. Ortega, Shane Legg:
Modeling Friends and Foes. - Christina Wadsworth, Francesca Vera, Chris Piech:
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction. - Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, Dacheng Tao:
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study. - Ibrahim Numanagic, Alim S. Gökkaya, Lillian Zhang, Bonnie Berger, Can Alkan, Faraz Hach:
Fast Characterization of Segmental Duplications in Genome Assemblies. - Elahe Rezaei, Hafez Eslami Manoochehri, Babak Hossein Khalaj:
Multi-agent Learning for Cooperative Large-scale Caching Networks. - Luka Humski, Damir Pintar, Mihaela Vranic:
Exploratory Analysis of Pairwise Interactions in Online Social Networks. - Serhiy O. Semerikov, Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko:
Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. - Kamel Abdelouahab, François Berry, Maxime Pelcat:
The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it! - Nitish Mital, Katina Kralevska, Deniz Gündüz, Cong Ling:
Storage-Repair Bandwidth Trade-off for Wireless Caching with Partial Failure and Broadcast Repair. - Farshid Alambeigi, Mahsan Bakhtiarinejad, Armina Azizi, Rachel Hegeman, Iulian Iordachita, Harpal Khanuja, Mehran Armand:
Inroads Toward Robot-Assisted Internal Fixation of Bone Fractures Using a Bendable Medical Screw and the Curved Drilling Technique. - Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding Models for Episodic Memory. - Bruno Korbar, Du Tran, Lorenzo Torresani:
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi:
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems. - Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi:
Comparing large-scale graphs based on quantum probability theory. - Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. - Jochen L. Leidner:
Information Retrieval in the Cloud. - Dongdong Jiang, Ying Cui:
Analysis and Optimization of Caching and Multicasting for Multi-Quality Videos in Large-Scale Wireless Networks. - Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon:
Accurate Uncertainties for Deep Learning Using Calibrated Regression. - Raghav Gupta, Abhinav Rastogi, Dilek Hakkani-Tür:
An Efficient Approach to Encoding Context for Spoken Language Understanding. - Michael Honke, Rahul Iyer, Dishant Mittal:
Photorealistic Style Transfer for Videos. - Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman:
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera. - Andrii Striuk, Maryna Rassovytska, Svitlana V. Shokaliuk:
Using Blippar Augmented Reality Browser in the Practical Training of Mechanical Engineers. - Shahriar Sefati, Ryan J. Murphy, Farshid Alambeigi, Michael Pozin, Iulian Iordachita, Russell H. Taylor, Mehran Armand:
FBG-Based Control of a Continuum Manipulator Interacting With Obstacles. - Benteng Ma, Yong Xia:
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. - Manuel Mager, Elisabeth Mager, Alfonso Medina Urrea, Iván Meza, Katharina Kann:
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. - Weinan E, Qingcan Wang:
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions. - Junping Wang, Wensheng Zhang, Ian Thomas, Shihui Duan, Youkang Shi:
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control. - Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong:
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. - Vinicius Woloszyn, Guilherme Medeiros Machado, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Modeling, comprehending and summarizing textual content by graphs. - Daniel Lehmann:
Local Equilibria. - Milan Broz, Mikulás Patocka, Vashek Matyas:
Practical Cryptographic Data Integrity Protection with Full Disk Encryption Extended Version. - Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. - Christoph Ertl, Ralf-Peter Mundani, Ernst Rank:
Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations. - Maryna Rassovytska, Andrii Striuk:
Mechanical Engineers Training in Using Cloud and Mobile Services in Professional Activity. - Andrii Striuk:
Using Elements Of Semantic Parsing In E-Learning Environments. - Georgios Amanatidis, George Christodoulou, John Fearnley, Evangelos Markakis, Christos-Alexandros Psomas, Eftychia Vakaliou:
An Improved Envy-Free Cake Cutting Protocol for Four Agents. - Mohammad Mahdi Tajiki, Mohammad Shojafar, Behzad Akbari, Stefano Salsano, Mauro Conti, Mukesh Singhal:
Joint Failure Recovery, Fault Prevention, and Energy-efficient Resource Management for Real-time SFC in Fog-supported SDN. - Dan Li, Deli Qiao, Lei Zhang, Geoffrey Ye Li:
Performance Analysis of Indoor THz Communications with One-Bit Precoding. - Michael Blondin, Javier Esparza, Antonín Kucera:
Automatic Analysis of Expected Termination Time for Population Protocols. - Xinhan Di, Pengqian Yu, Meng Tian:
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. - Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
Asymptotically optimal delay-aware scheduling in wireless networks. - Wanran Xu, Suzhi Bi, Xiaohui Lin, Juan Wang:
Reusing Wireless Power Transfer for Backscatter-assisted Cooperation in WPCN. - Baoxiang Wang, Tongfang Sun, Xianjun Sam Zheng:
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning. - Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi:
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters. - Dekel Tsur:
Representation of ordered trees with a given degree distribution. - Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. - Chaya Levinger, Amos Azaria, Noam Hazon:
Human Satisfaction as the Ultimate Goal in Ridesharing. - Fatemeh Riahi, Oliver Schulte:
Model-based Exception Mining for Object-Relational Data. - Tim Hegeman, Alexandru Iosup:
Survey of Graph Analysis Applications. - Ralf-Peter Mundani, Marko Ljucovic, Ernst Rank:
Framework for the hybrid parallelisation of simulation codes. - Konstantinos Zampogiannis, Cornelia Fermüller, Yiannis Aloimonos:
cilantro: a lean, versatile, and efficient library for point cloud data processing. - James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni:
Machine learning 2.0 : Engineering Data Driven AI Products. - Surya Bhupatiraju, Kumar Krishna Agrawal, Rishabh Singh:
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis. - David Koerner, Jamie Portsmouth, Wenzel Jakob:
PN-Method for Multiple Scattering in Participating Media. - Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah:
Learning to Drive in a Day. - Mark Harmon, Diego Klabjan:
Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. - John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony B. Costa, Joseph J. Titano, Eric K. Oermann:
Confounding variables can degrade generalization performance of radiological deep learning models. - Gaurav Choudhary, Vishal Sharma, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho:
Intrusion Detection Systems for Networked Unmanned Aerial Vehicles: A Survey. - Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. - Anvar Bahrampour, Omid Mohamad Nezami:
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO). - Aslam Abdullah:
Influence of the Forward Difference Scheme for the Time Derivative on the Stability of Wave Equation Numerical Solution. - Xiangxiang Chu:
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. - Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. - Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. - Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. - Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Evenly Cascaded Convolutional Networks. - Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami:
Adversarial Perturbations Against Real-Time Video Classification Systems. - Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov:
How To Backdoor Federated Learning. - Amanda Bower, Laura Niss, Yuekai Sun, Alexander Vargo:
Debiasing representations by removing unwanted variation due to protected attributes. - Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. - Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. - Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay:
Automated Directed Fairness Testing. - Yuwei Xie, Hongwei Zhang, Pengfei Ren:
Unified Scheduling for Predictable Communication Reliability in Cellular Networks with D2D Links. - Masahiko Ueda, Toshiyuki Tanaka:
Zero-determinant strategies in repeated incomplete-information games: Consistency of payoff relations. - Yunhao Sun:
Information theoretic limits of state-dependent networks. - Shweta Shinde, Shengyi Wang, Pinghai Yuan, Aquinas Hobor, Abhik Roychoudhury, Prateek Saxena:
BesFS: Mechanized Proof of an Iago-Safe Filesystem for Enclaves. - Shaobin Cao, Zhijian Ji, Hai Lin, Haisheng Yu:
Perfectly Controllable Multi-Agent Networks. - Jeff Zhang, Siddharth Garg:
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. - Toan Nguyen, Nasir D. Memon:
Tap-based User Authentication for Smartwatches. - Sunil Arya, Guilherme Dias da Fonseca, David M. Mount:
Approximate Convex Intersection Detection with Applications to Width and Minkowski Sums. - G. D. Illeperuma:
An initial study on estimating area of a leaf using image processing. - Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin:
A Simple but Effective Classification Model for Grammatical Error Correction. - Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot:
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings. - Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Active Testing: An Efficient and Robust Framework for Estimating Accuracy. - Javier Ribera, Fangning He, Yuhao Chen, Ayman F. Habib, Edward J. Delp:
Estimating Phenotypic Traits From UAV Based RGB Imagery. - Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze:
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Terrance DeVries, Graham W. Taylor:
Leveraging Uncertainty Estimates for Predicting Segmentation Quality. - Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. - Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition.