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ORCIDCoRR, April 2019
- Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae:
Open Problems in Engineering Machine Learning Systems and the Quality Model.
- Duilio Balsamo, Paolo Bajardi, André Panisson
:
Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort. - Pushkal Agarwal, Nishanth Sastry, Edward Wood:
Tweeting MPs: Digital Engagement between Citizens and Members of Parliament in the UK. - Ahmed Khalifa, Mohamed Fanni:
Quadrotor Manipulation System: Development of a Robust Contact Force Estimation and Impedance Control Scheme Based on DOb and FTRLS. - Jonas Klappert, Fabian Lange:
Reconstructing Rational Functions with FireFly. - Subramanya Nageshrao, H. Eric Tseng, Dimitar P. Filev:
Autonomous Highway Driving using Deep Reinforcement Learning. - Yiting Zhao, Chen Yuan, Sun Li, Guangyi Liu, Renchang Dai, Zhiwei Wang:
Graph Computing based Fast Screening in Contingency Analysis. - Sanping Zhou, Jinjun Wang, Fei Wang, Dong Huang:
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection. - Wen-Kai Yu:
Cryptographic key distribution over a public network via variance-based watermarking in compressive measurements. - Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. - Marco Montali, Andrey Rivkin:
From DB-nets to Coloured Petri Nets with Priorities (Extended Version). - Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He:
Multi-Scale Time-Frequency Attention for Rare Sound Event Detection. - Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan, Lavsen Dahal:
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques. - Xuelin Chen, Baoquan Chen, Niloy J. Mitra:
Unpaired Point Cloud Completion on Real Scans using Adversarial Training. - Behrad Toghi, Md Saifuddin, Yaser P. Fallah, Muhammad Ozair Mughal:
Analysis of Distributed Congestion Control in Cellular Vehicle-to-everything Networks. - Elena Balashova, Jiangping Wang, Vivek K. Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor:
3D Organ Shape Reconstruction from Topogram Images. - Dimitar Ho, John C. Doyle:
Scalable Robust Adaptive Control from the System Level Perspective. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Autonomous Visual Assistance for Robot Operations Using a Tethered UAV. - Çigdem Aslay, Aristides Gionis, Michael Mathioudakis:
Query the model: precomputations for efficient inference with Bayesian Networks. - Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan:
A Gaussian process latent force model for joint input-state estimation in linear structural systems. - Chaowen Guan, Kenneth W. Regan:
Stabilizer Circuits, Quadratic Forms, and Computing Matrix Rank. - Milos Simic:
How to Estimate the Ability of a Metaheuristic Algorithm to Guide Heuristics During Optimization. - Irawan Nurhas, Jan M. Pawlowski, Stefan Geisler, Maria Kovtunenko, Bayu Rima Aditya:
Group-centered framework towards a positive design of digital collaboration in global settings. - Erion Çano, Ondrej Bojar:
Keyphrase Generation: A Text Summarization Struggle. - Matthias Joiko, Florian Kohnen, Kevin Lapinski, Houda Moudrik, Irawan Nurhas, Florian Paproth, Jan M. Pawlowski:
Enabling decentral collaborative innovation processes - a web based real time collaboration platform. - Fan Bai, Alan Ritter:
Structured Minimally Supervised Learning for Neural Relation Extraction. - Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg:
Dance Dance Generation: Motion Transfer for Internet Videos. - Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane:
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. - Zhi-Xiu Ye, Zhen-Hua Ling:
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions. - Gaurav Verma, Eeshan Gunesh Dhekane, Tanaya Guha:
Learning Affective Correspondence between Music and Image. - Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman:
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. - Thomas F. J.-M. Pasquier, David M. Eyers, Jean Bacon:
Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenance. - Marco Baroni:
Linguistic generalization and compositionality in modern artificial neural networks. - Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun:
UVA: A Universal Variational Framework for Continuous Age Analysis. - Tetsuto Takano, Satoshi Yamane:
Machine translation considering context information using Encoder-Decoder model. - Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu:
Exposing GAN-synthesized Faces Using Landmark Locations. - Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun:
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis. - Jingcai Guo, Song Guo:
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition. - Jingcai Guo, Song Guo:
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. - Nicolò Pollini, Ole Sigmund, Casper Schousboe Andreasen, Joe Alexandersen:
A "poor man's" approach for high-resolution three-dimensional topology optimization of natural convection problems. - Anik Islam, Md. Fazlul Kader, Md. Mofijul Islam, Soo Young Shin:
NEWSTRADCOIN: A Blockchain Based Privacy Preserving Secure NEWS Trading Network. - Zainab Alhakeem, Se-In Jang:
A Convolution-Free LBP-HOG Descriptor For Mammogram Classification. - Kiran S. Balagani, Matteo Cardaioli, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu:
PILOT: Password and PIN Information Leakage from Obfuscated Typing Videos. - Marie Fortin:
FO = FO3 for linear orders with monotone binary relations. - Tomasz Gogacz, Víctor Gutiérrez-Basulto, Yazmín Angélica Ibáñez-García, Filip Murlak, Magdalena Ortiz, Mantas Simkus:
Ontology Focusing: Knowledge-enriched Databases on Demand. - Abhay Kumar, Nishant Jain, Chirag Singh, Suraj Tripathi:
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural Network. - Haoyu Ma, Juncheng Zhang, Shaojun Liu, Qingmin Liao:
Boundary Aware Multi-Focus Image Fusion Using Deep Neural Network. - Zhujun Zhang:
A Note on Hardness Frameworks and Computational Complexity of Xiangqi and Janggi. - Pawel Swietojanski, Ondrej Miksik:
Static Visual Spatial Priors for DoA Estimation. - Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim:
A HVS-inspired Attention Map to Improve CNN-based Perceptual Losses for Image Restoration. - Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang:
Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices. - Tanweer Alam:
IoT-Fog: A Communication Framework using Blockchain in the Internet of Things. - Humam Alwassel, Fabian Caba Heilbron, Ali K. Thabet, Bernard Ghanem:
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization. - Jiaxin Li, Gim Hee Lee:
USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. - Ali K. Thabet, Humam Alwassel, Bernard Ghanem:
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds. - Junjie Wang, Qichao Zhang, Dongbin Zhao, Yaran Chen:
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints. - Su Feng, Aaron Huber, Boris Glavic, Oliver Kennedy:
Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers (extended version). - Patrick Wortner, Moritz Schubotz, Corinna Breitinger, Stephan Leible, Bela Gipp:
A decentralized method for making sensor measurements tamper-proof to support open science applications. - Chandra Sekhar Vorugunti, Prerana Mukherjee, Devanur S. Guru, Viswanath Pulabaigari:
OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification. - Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. - Sara Iodice, Krystian Mikolajczyk:
Person Re-identification with Bias-controlled Adversarial Training. - Adriano Belletti Felicio, André Luiz Cunha:
Classification of Motorcycles using Extracted Images of Traffic Monitoring Videos. - Joakim Blikstad:
On the longest common subsequence of Thue-Morse words. - Siqi Zhou, Andriy Sarabakha, Erdal Kayacan, Mohamed K. Helwa, Angela P. Schoellig:
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking. - Thi Ai Thao Nguyen, Tran Khanh Dang, Dinh Thanh Nguyen:
A New Biometric Template Protection using Random Orthonormal Projection and Fuzzy Commitment. - Mei-Yun Chen, Ya-Bo Huang, Sheng-Ping Chang, Ming Ouhyoung:
Prediction Model for Semitransparent Watercolor Pigment Mixtures Using Deep Learning with a Dataset of Transmittance and Reflectance. - Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang:
Person-in-WiFi: Fine-grained Person Perception using WiFi. - Fei Wang, Stanislav Panev, Ziyi Dai, Jinsong Han, Dong Huang:
Can WiFi Estimate Person Pose? - Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. - Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. - Vikram Krishnamurthy:
Convex Stochastic Dominance in Bayesian Estimation and Controlled Sensing POMDPs. - Casper Petersen:
On the Estimation and Use of Statistical Modelling in Information Retrieval. - Zhuoran Dang, Mamoru Ishii:
Two-phase flow regime prediction using LSTM based deep recurrent neural network. - Julián Estévez, Gorka Garate, José Manuel López-Guede, Manuel Graña:
Using Scratch to Teach Undergraduate Students' Skills on Artificial Intelligence. - Mohit Sharma, Kevin Zhang, Oliver Kroemer:
Learning Semantic Embedding Spaces for Slicing Vegetables. - Franco Morando:
Decomposition and Modeling in the Non-Manifold domain. - Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. - Bruno Godefroy, Christopher Potts:
Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints. - Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho:
Molecular geometry prediction using a deep generative graph neural network. - Emanuel E. Bessa, Joberto S. B. Martins:
A Blockchain-based Educational Record Repository. - Patrick Rodler, Michael Eichholzer:
A New Expert Questioning Approach to More Efficient Fault Localization in Ontologies. - Jinsong Hu, Yongpeng Wu, Riqing Chen, Feng Shu, Jiangzhou Wang:
Optimal Detection of UAV's Transmission with Beam Sweeping in Wireless Networks. - Jiaxin Li, Yingcai Bi, Gim Hee Lee:
Discrete Rotation Equivariance for Point Cloud Recognition. - Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang:
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences. - Grigori Fursin:
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments. - Chengsheng Mao, Liang Yao, Yuan Luo:
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays. - Chengsheng Mao, Liang Yao, Yuan Luo:
MedGCN: Graph Convolutional Networks for Multiple Medical Tasks. - Chuang Ye, Mustafa Cenk Gursoy, Senem Velipasalar:
Power Control for Wireless VBR Video Streaming: From Optimization to Reinforcement Learning. - Lin Zhang:
An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images. - Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems with Measurement Outliers. - Chuan Yan, Huazhen Fang:
Observer-Based Distributed Leader-Follower Tracking Control: A New Perspective and Results. - Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks. - Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen:
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
Efficient and error-tolerant schemes for non-adaptive complex group testing and its application in complex disease genetics. - Sungjoon Park, Donghyun Kim, Alice Oh:
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues. - Jonathan Samuel Lumentut, Tae Hyun Kim, Ravi Ramamoorthi, In Kyu Park:
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network. - Hui Li, Meng Yang, Zhihui Lai, Weishi Zheng, Zitong Yu:
Pedestrian re-identification based on Tree branch network with local and global learning. - Nicolas Aragon, Philippe Gaborit, Adrien Hauteville, Olivier Ruatta, Gilles Zémor:
Low Rank Parity Check Codes: New Decoding Algorithms and Applications to Cryptography. - Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Archit Somani:
Achieving Greater Concurrency in Execution of Smart Contracts using Object Semantics. - Albina Khusainova, Adil Khan, Adín Ramírez Rivera:
SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation. - Soheil Mehrabkhani:
Fourier Transform Approach to Machine Learning. - Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. - Salwa Mostafa, Abd El-Naser A. Mohamed, Fathi E. Abd El-Samie, Ahmed Nabih Zaki Rashed:
Cyclic Shift Code for SAC-OCDMA Using Fiber Bragg-Grating. - Enxhell Luzhnica, Ben Day, Pietro Liò:
Clique pooling for graph classification. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap:
LightChain: A DHT-based Blockchain for Resource Constrained Environments. - Giuseppe Silano:
MAT-Fly: an educational platform for simulating Unmanned Aerial Vehicles aimed to detect and track moving objects. - Badraddin Alturki, Stephan Reiff-Marganiec, Charith Perera, Suparna De:
Exploring the Effectiveness of Service Decomposition in Fog Computing Architecture for the Internet of Things. - Zhihang Li, Xu Tang, Junyu Han, Jingtuo Liu, Ran He:
PyramidBox++: High Performance Detector for Finding Tiny Face. - Xiaoye Sun, Liyan Ma, Gongyan Li:
Multi-vision Attention Networks for On-line Red Jujube Grading. - Reto E. Koenig:
How to Authenticate MQTT Sessions Without Channel- and Broker Security. - Barzan A. Yosuf, Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Impact of Distributed Processing on Power Consumption for IoT Based Surveillance Applications. - Francisco Martins, Dominic Orchard:
Proceedings Programming Language Approaches to Concurrency- and Communication-cEntric Software, PLACES@ETAPS 2019, Prague, Czech Republic, 7th April 2019. EPTCS 291, 2019 [contents] - Tatsuoki Kato, Tomoki Nakamigawa, Tadashi Sakuma:
Pebble Exchange Group of Graphs. - Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. - Madhav Suresh, Zuohao She, William Wallace, Adel Lahlou, Jennie Rogers:
KloakDB: A Platform for Analyzing Sensitive Data with K-anonymous Query Processing. - Liat Sless, Gilad Cohen, Bat El Shlomo, Shaul Oron:
Self Supervised Occupancy Grid Learning from Sparse Radar for Autonomous Driving. - Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun:
Single Path One-Shot Neural Architecture Search with Uniform Sampling. - Satwik Patnaik, Nikhil Rangarajan, Johann Knechtel, Ozgur Sinanoglu, Shaloo Rakheja:
Spin-Orbit Torque Devices for Hardware Security: From Deterministic to Probabilistic Regime. - A. Jang Sher, Umer Huzaifa, Jialu Li, Varun Jain, Alexander Zurawski, Amy LaViers:
An Embodied, Platform-invariant Architecture for Connecting High-level Spatial Commands to Platform Articulation. - Denis Osipov, Kai Sun:
Tensor Decomposition based Adaptive Model Reduction for Power System Simulation. - Huyan Huang, Yipeng Liu, Ce Zhu:
Robust Tensor Recovery using Low-Rank Tensor Ring. - George Adam, Jonathan Lorraine:
Understanding Neural Architecture Search Techniques. - Uk Jo, Taehyun Jo, Wanjun Kim, Iljoo Yoon, Dongseok Lee, Seungho Lee:
Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading. - Diogo Pernes, Jaime S. Cardoso:
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. - Amir Moaddeli, Iman Nabati Ahmadi, Negin Abhar:
The Power of d Choices in Scheduling for Data Centers with Heterogeneous Servers. - Joseph L. Heyman, Abhishek Gupta:
On the Computation of Strategically Equivalent Rank-0 Games. - Minchae Jung, Walid Saad, Gyuyeol Kong:
Performance Analysis of Large Intelligent Surfaces (LISs): Uplink Spectral Efficiency and Pilot Training. - Joseph L. Heyman, Abhishek Gupta:
Rank Reduction in Bimatrix Games. - Paolo Barucca:
Spectral density of equitable core-periphery graphs. - Markus Borg, Vahid Garousi, Anas Mahmoud, Thomas Olsson, Oskar Stålberg:
Video Game Development in a Rush: A Survey of the Global Game Jam Participants. - Md Umar Hashmi, Lucas Pereira, Ana Busic:
Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki:
Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation. - Irawan Nurhas, Stefan Geisler, Jan M. Pawlowski:
Positive Personas: Integrating Well-being Determinants into Personas. - Preetha Chatterjee:
Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language. - Petro Feketa, Alexander Schaum, Thomas Meurer, Dennis Michaelis, Karlheinz Ochs:
Synchronization of nonlinearly coupled networks of Chua oscillators. - Jahan Hassan, Ayub Bokani, Salil S. Kanhere:
Recharging of Flying Base Stations using Airborne RF Energy Sources. - Gustavo D. Gil, Julie M. Walker, Nabil Zemiti, Allison M. Okamura, Philippe Poignet:
How to enhance learning of robotic surgery gestures? A tactile cue saliency investigation for 3D hand guidance. - Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning.