Abstract is missing.
- Automated Artemia Detection and Length Measurement Using Deep Convolutional NetworksGang Wang, Bernard De Baets. [doi]
- Disentangled Variational Auto-Encoders for Explaining ECG Beat EmbeddingsTom Van Steenkiste, Dirk Deschrijver, Tom Dhaene. [doi]
- Towards a Phylogenetic Measure to Quantify HIV IncidencePieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé. [doi]
- Improving Zero-Intelligence Plus for Call MarketsJannick Hemelhof, Mihail Mihaylov, Ann Nowé. [doi]
- Cost-Efficient Segmentation of Electron Microscopy Images Using Active LearningJoris Roels, Yvan Saeys. [doi]
- Thompson Sampling for m-top ExplorationPieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé. [doi]
- A Virtual Maze Game to Explain Reinforcement LearningYouri Coppens, Eugenio Bargiacchi, Ann Nowé. [doi]
- Segmentation of Photovoltaic Panels in Aerial Photography Using Group Equivariant FCNsLars Bokkers, Luca Ambrogioni, Umut Güçlü. [doi]
- Analysing Visitor Flow Using a Bluetooth Positioning SystemPieter van den Ham, Bert Bredeweg, Maartje E. J. Raijmakers. [doi]
- SMURFF: A High-Performance Framework for Matrix Factorization MethodsTom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert. [doi]
- SubSect - An Interactive Itemset VisualizationJoey De Pauw, Sandy Moens, Bart Goethals. [doi]
- SOGrounder: Modelling and Solving Second-Order LogicMatthias van der Hallen, Gerda Janssens. [doi]
- Improving Machine Learning-Based Decision-Making Through Inclusion of Data QualityJens de Hoog, Siegfried Mercelis, Peter Hellinckx. [doi]
- Time to Take Emoji Seriously: They Vastly Improve Casual Conversational ModelsPieter Delobelle, Bettina Berendt. [doi]
- Target-Based Sentiment Analysis as a Sequence-Tagging TaskZoe Gerolemou, Johannes C. Scholtes. [doi]
- Term Based Semantic Clusters for Very Short Text ClassificationJasper Paalman, Shantanu Mullick, Kalliopi Zervanou, Yingqian Zhang. [doi]
- Towards Automated Grading of UML Class Diagrams with Machine LearningDave R. Stikkolorum, Peter van der Putten, Caroline Sperandio, Michel Chaudron. [doi]
- Sample-Efficient Model-Free Reinforcement Learning with Off-Policy CriticsDenis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé. [doi]
- Conditional Network EmbeddingsBo Kang, Jefrey Lijffijt, Tijl De Bie. [doi]
- DuStt - A Speech-to-Text Engine for DutchWillem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé. [doi]
- Unsupervised Deep Feature Extraction for Neonatal Sleep Stage ClassificationNick Seeuws, Amir Hossein Ansari, Sabine Van Huffel, Gunnar Naulaers. [doi]
- A Study of Early Sepsis Detection Models Based on Multivariate Medical Time SeriesAren Maes, Tom Van Steenkiste, Tom Dhaene, Dirk Deschrijver. [doi]
- Synthesizing Personality-Dependent Body Postures Using Generative Adversarial NetworksFrederik Calsius, Stylianos Asteriadis. [doi]
- Nonlinear Causality Inference in Microarray Time SeriesFateme Nateghi Haredasht, Mohammad Hassan Moradi. [doi]
- Calibrated Multi-Probabilistic Prediction as a Defense against Adversarial AttacksJonathan Peck, Bart Goossens, Yvan Saeys. [doi]
- Designing MacPherson Suspension Architectures Using Bayesian OptimizationSinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko. [doi]
- A Motorized Wheelchair that Learns to Make its Way through a CrowdDenis Steckelmacher, Hélène Plisnier, Ann Nowé. [doi]
- Revision Classification for Current Events in Dutch Wikipedia Using a Long Short-Term Memory NetworkNienke Eijsvogel, Marijn Schraagen. [doi]
- An Interactive ConsultantPierre Carbonnelle, Bram Aerts, Marjolein Deryck, Joost Vennekens, Marc Denecker. [doi]
- A Context Aware Deep Learning Architecture for Object DetectionKevin Bardool, Tinne Tuytelaars, José Oramas M.. [doi]
- Autoencoder-Learned Local Image Descriptor for Image InpaintingNina Zizakic, Izumi Ito, Laurens Meeus, Aleksandra Pizurica. [doi]
- Integrating Clinically-Relevant Features into Skin Lesion ClassificationEmmeke Veltmeijer, Sezer Karaoglu, Theo Gevers. [doi]
- Continuous Exploitative Measurement Trajectories Using Bayesian OptimisationRémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene. [doi]
- Predicting 120-Day Hospital Readmission Using Medical Administrative Patient DataMarijn van Wingerden, Jelle de Boer, Eric Postma. [doi]
- Generic Constraint-Based Block Modeling Using Constraint ProgrammingAlex Mattenet, Ian Davidson, Siegfried Nijssen, Pierre Schaus. [doi]
- Data Mining for ADHD & ASD Prediction Based on Resting-State fMRI Signals: A Literature ReviewSarah Itani, Fabian Lecron, Philippe Fortemps. [doi]
- An Aggregate Learning Approach for Interpretable Semi-Supervised Population Prediction and Disaggregation Using Ancillary DataGuillaume Derval, Frédéric Docquier, Pierre Schaus. [doi]
- Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and ModelsFlorian Kunneman, Thiago Castro Ferreira, Antal van den Bosch, Emiel Krahmer. [doi]
- On Domination and Control in Strategic AbilityDamian Kurpiewski, Michal Knapik, Wojciech Jamroga. [doi]
- Reduction Methods for Multi-Label Datasets Based on Granular ComputingMarilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello. [doi]
- Predictive Maintenance of a Rotating Condenser Inside a SynchrocyclotronValentin Hamaide, François Glineur. [doi]
- ZebraTutor: Explaining How to Solve Logic Grid PuzzlesJens Claes, Bart Bogaerts 0001, Rocsildes Canoy, Emilio Gamba, Tias Guns. [doi]
- Learning Optimal Classification Trees Using a Binary Linear Program FormulationSicco Verwer, Yingqian Zhang. [doi]
- Iterative Model-Based Transfer in Deep Reinforcement LearningJelmer Neeven. [doi]
- Privacy Preserving Reinforcement Learning over Distributed DatasetsRegis Loeb, Timothy Verstraeten, Ann Nowé, Ann Dooms. [doi]
- Adversarial Perturbations for Joint Entity and Relation ExtractionGiannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder. [doi]
- Cross-Domain Neural-Kernel NetworksSiamak Mehrkanoon. [doi]
- A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure GamesRené Raab, Kurt Driessens. [doi]
- Temporal Factorization of 3D Convolutional KernelsGabrielle Ras, Luca Ambrogioni, Umut Güçlü, Marcel van Gerven. [doi]
- ExCAPE-DB: An Integrated Large Scale Dataset Facilitating Big Data Analysis in ChemogenomicsJiangming Sun, Nina Jeliazkova, Vladimir I. Chupakhin, José Felipe Golib Dzib, Lars Carlsson, Jörg K. Wegner, Hugo Ceulemans, Ivan Georgiev, Vedrin Jeliazkov, Nikolay T. Kochev, Thomas J. Ashby, Hongming Chen. [doi]
- Deep Learning Applied to Sign LanguageJérôme Fink, Anthony Cleve, Benoît Frénay. [doi]
- Deep Quality-Value (DQV) LearningMatthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering. [doi]
- Training a Speech-to-Text Model for Dutch on the Corpus Gesproken NederlandsWillem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé. [doi]
- HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal MemoryJakob Struye, Kevin Mets, Steven Latré. [doi]
- DeepProbLog: Neural Probabilistic Logic ProgrammingRobin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, Luc De Raedt. [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. [doi]
- Failure Avoidance for Wind Turbines through Fleetwide ControlTimothy Verstraeten, Ann Nowé, Jan Helsen. [doi]
- Action Learning and Grounding in Simulated Human-Robot InteractionsOliver Roesler, Ann Nowé. [doi]
- Modelling Mutually Interactive Fictional Character Conversational AgentsThomas Winters. [doi]
- End-To-End Anomaly Detection, Correction and Prediction of Missing Values in Historical Daily Temperature TimeseriesMitchel Alioscha-Pérez, Meshia Cédric Oveneke, Abel Díaz Berenguer, Cédric Bertrand, Hichem Sahli. [doi]
- Formalization and Improvement of Ambulance Dispatching in Brabant-ZuidoostNikki Theeuwes, Geert-Jan van Houtum, Yingqian Zhang, Björn Gadet. [doi]
- A Residual Neural-Network Model to Predict Visual Cortex MeasurementsAnne-Ruth José Meijer, Arnoud Visser. [doi]
- Runtime Revision of Norms and Sanctions Based on Agent PreferencesDavide Dell'Anna, Mehdi Dastani, Fabiano Dalpiaz. [doi]
- Hierarchical Classification of Transposable ElementsFelipe Kenji Nakano, Ricardo Cerri. [doi]
- Gesture Recognition with an FMCW RadarHabib-Ur-Rehman Khalid, Sofie Pollin, Thomas Gielen, Hans Cappelle, Miguel Glassée, André Bourdoux, Hichem Sahli. [doi]
- Learning to Transform, Combine, and Reason in Open-Domain Question AnsweringMostafa Dehghani 0001, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke. [doi]
- Vehicle Routing by Learning from Historical SolutionsRocsildes Canoy, Tias Guns. [doi]
- Politeness Detection in Speech for Human-Computer InteractionSelma Yilmazyildiz Kayaarma, Sherik Lehal, Hichem Sahli. [doi]
- News Topic Recommendation Using an Extended Bayesian Personalized RankingAlireza Gharahighehi, Celine Vens. [doi]
- Investigating People's Attitudes Towards AI with a Smart Photo BoothHanna Schraffenberger, Yana van de Sande, Gabi Schaap, Tibor Bosse. [doi]
- A Scalable Logo Recognition Model with Deep Meta-LearningMark de Blaauw, Diederik M. Roijers, Vesa Muhonen. [doi]
- Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling ProblemsJessica Coto Palacio, Yailen Martínez Jiménez, Ann Nowé. [doi]
- What are we Measuring Anyway? A Literature Survey of Questionnaires Used in Studies Reported in the Intelligent Virtual Agent ConferencesMerijn Bruijnes, Siska Fitrianie, Deborah Richards, Amal Abdulrahman, Willem-Paul Brinkman. [doi]
- Unconstrained Monotonic Neural NetworksAntoine Wehenkel, Gilles Louppe. [doi]
- Investigating Time Series Classification Techniques for Rapid Pathogen Identification with Single-Cell MALDI-TOF Mass Spectrum DataChristina Papagiannopoulou, René Parchen, Willem Waegeman. [doi]
- Paired Supervised Learning and Unsupervised Pretraining of CNN-Architecture for Violence Detection in VideosAbel Díaz Berenguer, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Hichem Sahli. [doi]
- A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling ProcessesMathias Van Herreweghe, Mathias Verbeke, Wannes Meert, Tom Jacobs. [doi]
- A Systematic Analysis of a Context Aware Deep Learning Architecture for Object DetectionKevin Bardool, Tinne Tuytelaars, José Oramas M.. [doi]
- Comparison of Different Exploration Schemes in the Automatic Modular Design of Robot SwarmsGaëtan Spaey, Miquel Kegeleirs, David Garzón-Ramos, Mauro Birattari. [doi]
- Simulated Annealing as an Optimization Algorithm in the Automatic Modular Design of Robot SwarmsJonas Kuckling, Keneth Ubeda Arriaza, Mauro Birattari. [doi]
- Transfer Reinforcement Learning across Environment Dynamics with Multiple AdvisorsHélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé. [doi]
- An Interactive Knowledge Base Application for Group AssignmentSimon Vandevelde, Kylian Van Dessel, Herman Crauwels. [doi]
- Interactive Learning of Grounded ConceptsJens Nevens, Paul Van Eecke, Katrien Beuls. [doi]
- Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow CytometryMaxim Lippeveld, Carly Knill, Emma Ladlow, Andrew Fuller, Louise J. Michaelis, Yvan Saeys, Andrew Filby, Daniel Peralta. [doi]
- Industrial Assets Performance Labelling Based on Numerically Encoded Event LogsPierre Dagnely, Tom Tourwé, Elena Tsiporkova. [doi]
- Partial Convolution Based Multimodal Autoencoder for Art InvestigationXianghui Xie, Laurens Meeus, Aleksandra Pizurica. [doi]
- Latent Space Exploration Using Generative Kernel PCADavid Winant, Joachim Schreurs, Johan Suykens. [doi]
- Stochastic Constraint Propagation for Mining Probabilistic NetworksAnna Louise D. Latour, Behrouz Babaki, Siegfried Nijssen. [doi]
- Learning Optimal Decision Trees Using Constraint ProgrammingHélène Verhaeghe, Siegfried Nijssen, Gilles Pesant, Claude-Guy Quimper, Pierre Schaus. [doi]
- Privacy Norms in Online Social NetworksOnuralp Ulusoy, Pinar Yolum. [doi]
- PARCo: A Knowledge-Based Agent for Context-Sensitive Reasoning and Decision-Making Regarding PrivacyAndrei Popescu 0006, Pinar Yolum. [doi]
- Interpreting and Explaining Deep Models VisuallyJosé Oramas M., Kaili Wang, Tinne Tuytelaars. [doi]
- Visualising the Training Process of Convolutional Neural Networks for Non-ExpertsMichelle Peters, Lindsay Kempen, Meike Nauta, Christin Seifert. [doi]
- The XAI paradox: Systems that Perform Well for the Wrong ReasonsCor Steging, Lambert Schomaker, Bart Verheij. [doi]
- Great Expectations & Aborted Business Initiatives: The Paradox of Social Robot Between Research and IndustrySilvia Tulli, Agustin Agustín Ambrossio, Amro Najjar, Francisco Javier Rodríguez Lera. [doi]
- A Boxology of Design Patterns for Hybrid Learning and Reasoning SystemsFrank van Harmelen, Annette ten Teije. [doi]
- Machine Learning Methods for Ordinal Classification with Additional Relative InformationMengzi Tang, Raúl Pérez-Fernández, Bernard De Baets. [doi]
- Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast MicrocalcificationsRedona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen. [doi]
- Adversarial Variational Optimization of Non-Differentiable SimulatorsGilles Louppe, Joeri Hermans, Kyle Cranmer. [doi]
- Crafting Conversational Agents' Personality in a User-Centric ContextCátia Ferreira, Sviatlana Hoehn. [doi]
- Maximum Entropy Bayesian Actor CriticSteven Homer. [doi]
- Deep Shared Representation Learning for Weather Elements ForecastingSiamak Mehrkanoon. [doi]
- Bayesian RL in Factored POMDPsSammie Katt, Frans A. Oliehoek, Chris Amato. [doi]
- A Reinforcement Learning Method to Select Ad Networks in Waterfall StrategyReza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak. [doi]
- Handling Unforeseen Failures Using Argumentation-Based LearningHamed Ayoobi, Ming Cao, Rineke Verbrugge, Bart Verheij. [doi]
- Learning Hierarchical Spectral Representations of Human Speech with the Information Dynamics of ThinkingSteven Homer. [doi]
- Explainable Robotics Applied to Bipedal Walking Gait DevelopmentNico Roos, Zhenglong Sun. [doi]
- Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal InferenceThéo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi. [doi]
- Set-Valued Prediction in Multi-Class ClassificationThomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman. [doi]
- Towards Deterministic Diverse Subset SamplingJoachim Schreurs, Michaël Fanuel, Johan Suykens. [doi]
- Distillation of Deep Reinforcement Learning Models Using Fuzzy Inference SystemsArne Gevaert, Jonathan Peck, Yvan Saeys. [doi]
- Scientific Machine Learning: Towards Predictive Closed-Form ModelsDimitri Papadimitriou, Steven Latré. [doi]
- Virtual Screening on FPGATom Vander Aa, Tom Ashby, Roel Wuyts. [doi]
- Explaining Lexical Processing Times with Cognitively Plausible Computational ModelsWietse de Vries. [doi]