Abstract is missing.
- Deep Ordinal Reinforcement LearningAlexander Zap, Tobias Joppen, Johannes Fürnkranz. 3-18 [doi]
- Sample-Efficient Model-Free Reinforcement Learning with Off-Policy CriticsDenis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé. 19-34 [doi]
- Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement LearningQuentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf 0001. 35-52 [doi]
- Safe Policy Improvement with Soft Baseline BootstrappingKimia Nadjahi, Romain Laroche, Rémi Tachet des Combes. 53-68 [doi]
- Practical Open-Loop Optimistic PlanningEdouard Leurent, Odalric-Ambrym Maillard. 69-85 [doi]
- An Engineered Empirical Bernstein BoundMark Alexander Burgess, Archie C. Chapman, Paul Scott. 86-102 [doi]
- Stochastic Activation Actor Critic MethodsWenling Shang, Douwe van der Wal, Herke van Hoof, Max Welling. 103-117 [doi]
- Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action SpaceZac Wellmer, James T. Kwok. 118-133 [doi]
- Attentive Multi-task Deep Reinforcement LearningTimo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer. 134-149 [doi]
- Stochastic One-Sided Full-Information BanditHaoyu Zhao, Wei Chen. 150-166 [doi]
- BelMan: An Information-Geometric Approach to Stochastic BanditsDebabrota Basu, Pierre Senellart, Stéphane Bressan. 167-183 [doi]
- A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis TournamentsRui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte. 187-203 [doi]
- A Reduction of Label Ranking to Multiclass ClassificationKlaus Brinker, Eyke Hüllermeier. 204-219 [doi]
- Learning to Calibrate and Rerank Multi-label PredictionsCheng Li, Virgil Pavlu, Javed A. Aslam, Bingyu Wang, Kechen Qin. 220-236 [doi]
- Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical PerformanceMarius Köppel, Alexander Segner, Martin Wagener, Lukas Pensel, Andreas Karwath, Stefan Kramer 0001. 237-252 [doi]
- Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender SystemsAleksandra Burashnikova, Yury Maximov, Massih-Reza Amini. 253-269 [doi]
- Automatic Recognition of Student Engagement Using Deep Learning and Facial ExpressionOmid Mohamad Nezami, Mark Dras, Len Hamey, Deborah Richards, Stephen Wan 0001, Cécile Paris. 273-289 [doi]
- Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic RepresentationMark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin. 290-305 [doi]
- Learning Disentangled Representations of Satellite Image Time SeriesEduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner. 306-321 [doi]
- Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep LearningKai Hou Yip, Nikolaos Nikolaou, Piero Coronica, Angelos Tsiaras, Billy Edwards, Quentin Changeat, Mario Morvan, Beth Biller, Sasha Hinkley, Jeffrey Salmond, Matthew Archer, Paul Sumption, Elodie Choquet, Remi Soummer, Laurent Pueyo, Ingo P. Waldmann. 322-338 [doi]
- J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable RecommendationP. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson. 339-355 [doi]
- Augmenting Semantic Representation of Depressive Language: From Forums to MicroblogsNawshad Farruque, Osmar R. Zaïane, Randy Goebel. 359-375 [doi]
- Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea DetectionKonstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann, Knut Liestøl, Mohan S. Kankanhalli. 376-399 [doi]
- Wearable-Based Parkinson's Disease Severity Monitoring Using Deep LearningJann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas. 400-415 [doi]
- Investigating Time Series Classification Techniques for Rapid Pathogen Identification with Single-Cell MALDI-TOF Mass Spectrum DataChristina Papagiannopoulou, René Parchen, Willem Waegeman. 416-431 [doi]
- CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose ForecastingAli Mert Ertugrul, Yu-Ru Lin, Tugba Taskaya-Temizel. 432-448 [doi]
- Scalable Bid Landscape Forecasting in Real-Time BiddingAritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan. 451-466 [doi]
- A Deep Multi-task Approach for Residual Value ForecastingAhmed Rashed, Shayan Jawed, Jens Rehberg, Josif Grabocka, Lars Schmidt-Thieme, Andre Hintsches. 467-482 [doi]
- Transfer Learning in Credit RiskHendra Suryanto, Charles Guan, Andrew Voumard, Ghassan Beydoun. 483-498 [doi]
- Cold-Start Recommendation for On-Demand CinemasBeibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian. 499-515 [doi]
- Shallow Self-learning for Reject Inference in Credit ScoringNikita Kozodoi, Panagiotis Katsas, Stefan Lessmann, Luís Moreira-Matias, Konstantinos Papakonstantinou. 516-532 [doi]
- LSTM Encoder-Predictor for Short-Term Train Load ForecastingKevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou. 535-551 [doi]
- Characterization and Early Detection of Evergreen News ArticlesYiming Liao, Shuguang Wang, Eui-Hong Sam Han, Jongwuk Lee, Dongwon Lee 0001. 552-568 [doi]
- Player Vectors: Characterizing Soccer Players' Playing Style from Match Event StreamsTom Decroos, Jesse Davis. 569-584 [doi]
- A Semi-supervised and Online Learning Approach for Non-Intrusive Load MonitoringHajer Salem, Moamar Sayed Mouchaweh. 585-601 [doi]
- Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural NetworksSushrut Bhalla, Matthew Yao, Jean-Pierre Hickey, Mark Crowley 0001. 602-617 [doi]
- Generative Adversarial Networks for Failure PredictionShuai Zheng, Ahmed K. Farahat, Chetan Gupta 0001. 621-637 [doi]
- Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical ConsumptionAntoine Marot, Antoine Rosin, Laure Crochepierre, Benjamin Donnot, Pierre Pinson, Lydia Boudjeloud-Assala. 638-654 [doi]
- Manufacturing Dispatching Using Reinforcement and Transfer LearningShuai Zheng, Chetan Gupta 0001, Susumu Serita. 655-671 [doi]
- An Aggregate Learning Approach for Interpretable Semi-supervised Population Prediction and Disaggregation Using Ancillary DataGuillaume Derval, Frédéric Docquier, Pierre Schaus. 672-687 [doi]
- Optimizing Neural Networks for Patent ClassificationLouay Abdelgawad, Peter Kluegl, Erdan Genc, Stefan Falkner, Frank Hutter. 688-703 [doi]
- The Search for Equations - Learning to Identify Similarities Between Mathematical ExpressionsLukas Pfahler, Jonathan Schill, Katharina Morik. 704-718 [doi]
- Data-Driven Policy on Feasibility Determination for the Train Shunting ProblemPaulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak. 719-734 [doi]
- Automated Data Transformation with Inductive Programming and Dynamic Background KnowledgeLidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama. 735-751 [doi]
- BK-ADAPT: Dynamic Background Knowledge for Automating Data TransformationLidia Contreras Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama. 755-759 [doi]
- A Tool for Researchers: Querying Big Scholarly Data Through Graph DatabasesFabio Mercorio, Mario Mezzanzanica, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì. 760-763 [doi]
- OCADaMi: One-Class Anomaly Detection and Data Mining ToolboxAndreas Theissler, Stephan Frey, Jens Ehlert. 764-768 [doi]
- MatrixCalculus.org - Computing Derivatives of Matrix and Tensor ExpressionsSören Laue, Matthias Mitterreiter, Joachim Giesen. 769-772 [doi]
- Towards a Predictive Patent Analytics and Evaluation PlatformNebula Alam, Khoi-Nguyen Tran, Sue Ann Chen, John Wagner, Josh Andres, Mukesh K. Mohania. 773-776 [doi]
- A Virtualized Video Surveillance System for Public TransportationTalmaj Marinc, Serhan Gül, Cornelius Hellge, Peter Schüßler, Thomas Riegel, Peter Amon. 777-780 [doi]
- Distributed Algorithms to Find Similar Time SeriesOleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia. 781-785 [doi]
- UnFOOT: Unsupervised Football Analytics ToolJosé Carlos Coutinho, João Mendes-Moreira, Cláudio Rebelo de Sá. 786-789 [doi]
- ISETS: Incremental Shapelet Extraction from Time Series StreamJingwei Zuo, Karine Zeitouni, Yehia Taher. 790-793 [doi]
- Industrial Event Log Analyzer - Self-service Data Mining for Domain ExpertsReuben Borrison, Benjamin Klöpper, Sunil Saini. 794-798 [doi]