Table of Contents

• Multi-kernel Covariance Terms in Multi-output Support Vector MachinesElisa Marcelli, Renato De Leone. 1-11 [doi]
• Generative Fourier-Based Auto-encoders: Preliminary ResultsAlessandro Zonta, Ali el Hassouni, David W. Romero, Jakub M. Tomczak. 12-15 [doi]
• Parameterized Structured Pruning for Deep Neural NetworksGünther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning. 16-27 [doi]
• FoodViz: Visualization of Food Entities Linked Across Different StandardsRiste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Korousic-Seljak, Tome Eftimov. 28-38 [doi]
• Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order OptimizationMayumi Ohta, Nathaniel Berger, Artem Sokolov, Stefan Riezler. 39-64 [doi]
• Learning Controllers for Adaptive Spreading of Carbon Fiber TowsJulia Krützmann, Alexander Schiendorfer, Sergej Beratz, Judith Moosburger-Will, Wolfgang Reif, Siegfried Horn. 65-77 [doi]
• Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient DescentAlper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michael Herty. 78-92 [doi]
• Effects of Random Seeds on the Accuracy of Convolutional Neural NetworksChristofer Fellicious, Thomas Weißgerber, Michael Granitzer. 93-102 [doi]
• Benchmarking Deep Learning Models for Driver Distraction DetectionJimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres. 103-117 [doi]
• Chronologically Guided Deep Network for Remaining Useful Life EstimationAbhay Harpale. 118-130 [doi]
• A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile IndustryLeandro Leonardo Lorente-Leyva, M. M. E. Alemany, Diego Hernán Peluffo-Ordóñez, Israel David Herrera-Granda. 131-142 [doi]
• Automatic Curriculum Recommendation for EmployeesAbhay Harpale. 143-155 [doi]
• Target-Aware Prediction of Tool Usage in Sequential Repair TasksNima Nabizadeh, Martin Heckmann, Dorothea Kolossa. 156-168 [doi]
• Safer Reinforcement Learning for Agents in Industrial Grid-WarehousingPer-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo. 169-180 [doi]
• Coking Coal Railway Transportation Forecasting Using Ensembles of ElasticNet, LightGBM, and Facebook ProphetVladimir Soloviev, Nikita Titov, Elena Smirnova. 181-190 [doi]
• Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and BayesJose Cruz, Wilson Mamani, Christian Romero, Ferdinand Pineda. 191-202 [doi]
• High-Dimensional Constrained Discrete Multi-objective Optimization Using SurrogatesRommel G. Regis. 203-214 [doi]
• Exploring Gaps in DeepFool in Search of More Effective Adversarial PerturbationsJon Vadillo, Roberto Santana, José Antonio Lozano. 215-227 [doi]
• Lottery Ticket Hypothesis: Placing the k-orrect BetsAbhinav Raj, Subhankar Mishra. 228-239 [doi]
• A Double-Dictionary Approach Learns Component Means and Variances for V1 EncodingS. Hamid Mousavi, Jakob Drefs, Jörg Lücke. 240-244 [doi]
• A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain ScenariosIsrael David Herrera-Granda, Leandro Leonardo Lorente-Leyva, Diego Hernán Peluffo-Ordóñez, M. M. E. Alemany. 245-258 [doi]
• Steplength and Mini-batch Size Selection in Stochastic Gradient MethodsGiorgia Franchini, Valeria Ruggiero, Luca Zanni. 259-263 [doi]
• Black Box Algorithm Selection by Convolutional Neural NetworkYaodong He, Shiu Yin Yuen. 264-280 [doi]
• A Unified Approach to Anomaly DetectionRichard Ball, Hennie A. Kruger, Lynette Drevin. 281-291 [doi]
• Skin Lesion Diagnosis with Imbalanced ECOC EnsemblesSara Atito Ali Ahmed, Berrin A. Yanikoglu, Cemre Zor, Muhammad Awais 0001, Josef Kittler. 292-303 [doi]
• State Representation Learning from DemonstrationAstrid Merckling, Alexandre Coninx, Loic Cressot, Stéphane Doncieux, Nicolas Perrin 0001. 304-315 [doi]
• A Deep Learning Based Fault Detection Method for Rocket Launcher Electrical SystemHuanghua Li, Zhidong Deng, Jianxin Zhang, Zhen Zhang, Xiaozhao Wang, Yongbao Li, Feng Li, Lizhong Xie. 316-325 [doi]
• Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal StaffMayowa Ayodele, Richard Allmendinger 0001, K. Nadia Papamichail. 326-338 [doi]
• Unsupervisedly Learned Representations - Should the Quest Be Over?Daniel N. Nissani. 339-349 [doi]
• Bayesian Optimization with Local SearchYuzhou Gao, Tengchao Yu, Jinglai Li. 350-361 [doi]
• Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural NetsThu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin. 362-381 [doi]
• Limits of Transfer LearningJake Williams, Abel Tadesse, Tyler Sam, Huey Sun, George D. Montañez. 382-393 [doi]
• Learning Objective Boundaries for Constraint Optimization ProblemsHelge Spieker, Arnaud Gotlieb. 394-408 [doi]
• Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein-Protein Interaction SitesMichela Quadrini, Sebastian Daberdaku, Carlo Ferrari. 409-420 [doi]
• Brain-Inspired Spike Timing Model of Dynamic Visual Information Perception and Decision Making with STDP and Reinforcement LearningPetia D. Koprinkova-Hristova, Nadejda Bocheva. 421-435 [doi]
• Automatic Classification of Low-Angle Fuze-Quick Craters Using Deep LearningSani Aji, Poom Kumam, Punnarai Siricharoen, Ali Maina Bukar. 436-447 [doi]
• Efficient Text Processing via Context Triggered Piecewise Hashing Algorithm for Spam DetectionAlexey Marchenko, Alexey Utki-Otki, Dmitry Golubev. 448-456 [doi]
• Machine Learning for Big Data Analysis in Drug DesignGalina A. Samigulina, Zarina I. Samigulina. 457-469 [doi]
• Pareto-Weighted-Sum-Tuning: Learning-to-Rank for Pareto Optimization ProblemsHarry Wang, Brian T. Denton. 470-480 [doi]
• Fast Hyperparameter Tuning for Support Vector Machines with Stochastic Gradient DescentMarcin Orchel, Johan A. K. Suykens. 481-493 [doi]
• PlattForm: Parallel Spoken Corpus of Middle West German Dialects with Web-Based InterfaceAynalem Tesfaye Misganaw, Sabine Roller. 494-503 [doi]
• Quantifying Local Energy Demand Through Pollution AnalysisCole Smith, Andrii Dobroshynskyi, Suzanne McIntosh. 504-515 [doi]
• On Graph Learning with Neural NetworksZahra Jandaghi, Liming Cai. 516-528 [doi]
• On Bayesian Search for the Feasible Space Under Computationally Expensive ConstraintsAlma Rahat, Michael Wood. 529-540 [doi]
• A Transfer Machine Learning Matching Algorithm for Source and Target (TL-MAST)Florin Tim Peters, Robin Hirt. 541-558 [doi]
• Machine Learning and Statistical Models for the Prevalence of Multiple SclerosisNicholas Mandarano, Rommel G. Regis, Elizabeth Bloom. 559-571 [doi]
• Robust and Sparse Support Vector Machines via Mixed Integer ProgrammingMahdi Jammal, Stéphane Canu, Maher Abdallah. 572-585 [doi]
• Univariate Time Series Anomaly Labelling AlgorithmGideon Mbiydzenyuy. 586-599 [doi]
• Challenges in Real-Life Face Recognition with Heavy Makeup and Occlusions Using Deep Learning AlgorithmsNatalya Selitskaya, Stanislaw Sielicki, Nikolaos Christou. 600-611 [doi]
• Who Accepts Information Measures?Gail Gilboa-Freedman, Yair Amichai-Hamburger, Dotan Castro. 612-616 [doi]
• An Error-Based Addressing Architecture for Dynamic Model LearningNicolas Bach, Andrew Melnik, Federico Rosetto, Helge J. Ritter. 617-630 [doi]
• Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3Nicolas Bach, Andrew Melnik, Malte Schilling, Timo Korthals, Helge J. Ritter. 631-644 [doi]
• 1 Regularized Robust and Sparse Linear Modeling Using Discrete OptimizationMahdi Jammal, Stéphane Canu, Maher Abdallah. 645-661 [doi]