Table of Contents

• Federated Learning Vector QuantizationJohannes Brinkrolf, Barbara Hammer. [doi]
• Reservoir Computing by Discretizing ODEsClaudio Gallicchio. [doi]
• Unsupervised Word Representations Learning with Bilinear Convolutional Network on CharactersThomas Luka, Laure Soulier, David Picard. [doi]
• Pruning Neural Networks with SupermasksVincent Rolfs, Matthias Kerzel, Stefan Wermter. [doi]
• Continual Learning with Echo State NetworksAndrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco. [doi]
• Sample efficient localization and stage prediction with autoencodersSebastian Hoch, Sascha Lange, Janis Keuper. [doi]
• Concept Drift Segmentation via Kolmogorov-TreesFabian Hinder, Barbara Hammer. [doi]
• Compact Neural Architecture Search for Local Climate Zones ClassificationRené Traoré, Andrés Camero, Xiaoxiang Zhu. [doi]
• Calliope - A Polyphonic Music TransformerAndrea Valenti, Stefano Berti, Davide Bacciu. [doi]
• Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic SeriesEvelyne Akopyan, Angelo Furno, Nour-Eddin El Faouzi, Eric Gaume. [doi]
• Hierarchical Planning in Multilayered State-Action NetworksMatthias Brucklacher, Hanspeter A. Mallot, Tristan Baumann. [doi]
• Deep Learning Model for Context-Dependent Survival AnalysisRaphaël Langhendries, Jérôme Lacaille. [doi]
• Machine Learning for Measuring and Analyzing Online Social CommunicationsChris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer. [doi]
• Federated Learning approach for SpectralClusteringElena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez. [doi]
• Slope: A First-order Approach for Measuring Gradient ObfuscationMaura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli. [doi]
• Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small DatasetsMaxence Chaverot, Maxime Carré, Michel Jourlin, Abdelaziz Bensrhair, Richard Grisel. [doi]
• Decay Momentum for Improving Federated LearningMiguel Fernandes, Catarina Silva 0001, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro. [doi]
• Sparse mixture of von Mises-Fisher distributionFlorian Barbaro, Fabrice Rossi. [doi]
• Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable DevicesDaniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega. [doi]
• A bag of nodes primer on weightless graph classificationRaul Barbosa, Diego Carvalho 0001, Priscila Lima, Felipe M. G. França. [doi]
• Validating static call graph-based malware signatures using community detection methodsAttila Mester, Zalán Bodó. [doi]
• A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN SimilarityJoshua Taylor, Erzsébet Merényi. [doi]
• A Relational Model for One-Shot ClassificationArturs Polis, Alexander Ilin. [doi]
• Distribution Preserving Multiple Hypotheses Prediction for Uncertainty ModelingTobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann 0002. [doi]
• Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time SeriesDelphine Bay, Clémence Bisot. [doi]
• The LVQ-based Counter Propagation Network - an Interpretable Information Bottleneck ApproachMarika Kaden, Ronny Schubert, Mehrdad Mohannazadeh Bakhtiari, Lucas Schwarz, Thomas Villmann. [doi]
• Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu. [doi]
• Inductive learning for product assortment graph completionMarco Trincavelli, Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu. [doi]
• Real-time On-edge Classification: an Application to Domestic Acoustic Event RecognitionLode Vuegen, Peter Karsmakers. [doi]
• Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactorsIsmael Matino, Stefano Dettori, Valentina Colla, Katharina Rechberger, Nina Kieberger. [doi]
• Lifelong Learning from Event-based DataVadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter. [doi]
• A Baseline for Shapley Values in MLPs: from Missingness to NeutralityCosimo Izzo, Aldo Lipani, Ramin Okhrati, Francesca Medda. [doi]
• Temperature as a Regularizer for Semantic SegmentationChanho Kim, Won-Sook Lee. [doi]
• Machine learning and data mining for urban mobility intelligenceEtienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun. [doi]
• In-Station Train Movements Prediction: from Shallow to Deep Multi Scale ModelsGianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita. [doi]
• The Coming of Age of Interpretable and Explainable Machine Learning ModelsPaulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann. [doi]
• Behavior Constraining in Weight Space for Offline Reinforcement LearningPhillip Swazinna, Steffen Udluft, Daniel Hein 0001, Thomas A. Runkler. [doi]
• TSR-DSAW: Table Structure Recognition via Deep Spatial Association of WordsArushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig. [doi]
• Emotional Intensity Level Analysis of Speech Emotional Intensity EstimationMegumi Kawase. [doi]
• Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML SubclassifiersJérôme Treboux, Rolf Ingold, Dominique Genoud. [doi]
• Data-Efficient Training of High-Resolution Images in Medical DomainShruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig. [doi]
• Context-specific sampling method for contextual explanationsManik Madhikermi, Avleen Malhi, Kary Främling. [doi]
• Cross-modal verification for 3D object detectionHaodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair. [doi]
• Orientation Adaptive Minimal Learning Machine for Directions of Atomic ForcesAntti Pihlajamäki, Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen. [doi]
• Stochastic quartet approach for fast multidimensional scalingPierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee. [doi]
• Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion ForecastingLuca Hermes, Barbara Hammer, Malte Schilling. [doi]
• The partial response SVMBradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa. [doi]
• Judging competitions and benchmarks: a candidate election approachAdrien Pavao, Isabelle Guyon, Michael Vaccaro. [doi]
• Towards Robust Auxiliary Tasks for Language AdaptationGil Rocha, Henrique Lopes Cardoso. [doi]
• Continual Learning at the Edge: Real-Time Training on Smartphone DevicesLorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni. [doi]
• Semantic Prediction: Which One Should Come First, Recognition or Prediction?Hafez Farazi, Jan Nogga, Sven Behnke. [doi]
• Dynamic clustering and modeling of temporal data subject to common regressive effectsLouise Bonfils, Allou Samé, Latifa Oukhellou. [doi]
• Transformers for Molecular Graph GenerationTim Cofala, Oliver Kramer 0001. [doi]
• Differentially Private Time Series GenerationHiba Arnout, Johanna Bronner, Thomas A. Runkler. [doi]
• Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net modelsJohn A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragán-Montero. [doi]
• Toxicity Detection in Online Comments with Limited Data: A Comparative AnalysisMax Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa. [doi]
• Boundary-Based Fairness Constraints in Decision Trees and Random ForestsGéraldin Nanfack, Valentin Delchevalerie, Benoît Frénay. [doi]
• Multi-perspective embedding for non-metric time series classificationMaximilian Münch, Simon Heilig, Frank-Michael Schleif. [doi]
• Combining Attack Success Rate and DetectionRate for effective Universal Adversarial AttacksValentina Poggioni, Alina Elena Baia, Alfredo Milani. [doi]
• Semi-supervised learning with Bayesian Confidence Propagation Neural NetworkNaresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman. [doi]
• Robust Malware Classification via Deep Graph Networks on Call Graph TopologiesFederico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli. [doi]
• Improving Graph Variational Autoencoders with Multi-Hop Simple ConvolutionsErik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita. [doi]
• Instance-Based Multi-Label Classification via Multi-Target Distance RegressionJoonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen. [doi]
• The Benefits of Adversarial Defence in GeneralisationLuca Oneto, Sandro Ridella, Davide Anguita. [doi]
• Geometric Probing of Word VectorsMadina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov. [doi]
• Multiobjective Reinforcement Learning in Optimized Drug DesignMaryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais. [doi]
• Benign overfitting of fully connected Deep Nets: A Sobolev space viewpointStephane Chretien, Emmanuel Caron. [doi]
• AGLVQ - Making Generalized Vector Quantization Algorithms Aware of ContextTorben Gräber, Sebastian Vetter, Sascha Sarajalew, Michael Unterreiner, Dieter Schramm. [doi]
• Enhash: A Fast Streaming Algorithm For Concept Drift DetectionAashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva. [doi]
• Correlated Weights Neural Layer with external controlSlawomir Golak. [doi]
• Evolutionary Deep Multi-Task LearningOliver Kramer 0001. [doi]
• Deep Echo State Networks for Functional Ambulation Categories EstimationLuca Pedrelli, Marco Tramontano, Giuseppe Vannozzi, Andrea Mannini. [doi]
• Enhancing brain decoding using attention augmented deep neural networksIsmail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon. [doi]
• Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoringRémi Souriau, Julie Fontecave Jallon, Bertrand Rivet. [doi]
• A Lightweight Approach for Origin-Destination Matrix AnonymizationBenoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi. [doi]
• Deep Neural Networks for Classification of Riding Patterns: with a focus on explainabilityMilad Leyli-Abadi, Abderrahmane Boubezoul. [doi]
• SmoothLRP: Smoothing LRP by Averaging over Stochastic Input VariationsArne P. Raulf, Sina Däubener, Ben Hack, Axel Mosig, Asja Fischer. [doi]
• Gradient representations in ReLU networks as similarity functionsBálint Daróczy, Dániel Rácz. [doi]
• A Multi-ELM Model for Incomplete DataBaichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu. [doi]
• Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic RegressionFech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow. [doi]
• Dynamic Graph Echo State NetworksDomenico Tortorella, Alessio Micheli. [doi]
• Deep Graph Convolutional Networks for Wind Speed PredictionTomasz Stanczyk, Siamak Mehrkanoon. [doi]
• IF: Iterative Fractional OptimizationSarthak Chatterjee, Subhro Das, Sérgio Pequito. [doi]
• NNBMSS: a Novel and Fast Method for Model Structure SelectionAmaury Lendasse, Kallin Khan, Edward R. Ratner. [doi]
• Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System ValidationÉtienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant. [doi]
• Deep learning for graphsDavide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi. [doi]
• Complex Data: Learning Trustworthily, Automatically, and with GuaranteesLuca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti. [doi]
• RecLVQ: Recurrent Learning Vector QuantizationJensun Ravichandran, Thomas Villmann, Marika Kaden. [doi]
• Constraint optimization for Echo State Networks applied to satellite image forecastingJochen J. Steil, Yannic Lieder. [doi]
• An Algorithmic Approach to Establish a Lower Bound for the Size of Semiring Neural NetworksMartin Böhm, Thomas Schmid. [doi]
• Fourier-based Video Prediction through Relational Object MotionMalte Mosbach, Sven Behnke. [doi]
• Predicting employee attrition with a more effective use of historical eventsAbdel-Rahmen Korichi, Hamamache Kheddouci, Daniel West. [doi]
• Privacy-Preserving Kernel Computation For Vertically Partitioned DataMirko Polato, Alberto Gallinaro, Fabio Aiolli. [doi]
• End-to-end Keyword Spotting using Xception-1dIván Vallés-Pérez, Juan Gómez-Sanchís, Marcelino Martínez-Sober, Joan Vila-Francés, Antonio José Serrano-López, Emilio Soria-Olivas. [doi]
• Domain Adversarial Tangent Learning Towards Interpretable Domain AdaptationChristoph Raab, Sascha Saralajew, Frank-Michael Schleif. [doi]
• CAS-Net: A Novel Coronary Artery Segmentation Neural NetworkRawaa Hamdi, Asma Kerkeni, Mouhamed Hédi Bedoui, Asma Ben Abdallah. [doi]
• Supervised learning of convex piecewise linear approximations of optimization problemsLaurine Duchesne, Quentin Louveaux, Louis Wehenkel. [doi]
• Weightless Neural Networks for text classification using tf-idfAntonio Sorgente, Massimo De Gregorio, Giuseppe Vettigli. [doi]
• Federated Learning - Methods, Applications and beyondMoritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif. [doi]
• Improvement on Generative Adversarial Network for Targeted Drug DesignBeatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais. [doi]
• Investigating Intensity and Transversal Drift in Hyperspectral Imaging DataValerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer. [doi]
• Impact of data subsamplings in Fast Multi-Scale Neighbor EmbeddingPierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt. [doi]
• Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapyValentin Hamaide, François Glineur. [doi]
• Functional Gradient Descent for n-Tuple RegressionRafael Fontella Katopodis, Priscila Lima, Felipe M. G. França. [doi]
• Tangent Graph Convolutional NetworkLuca Pasa, Nicolò Navarin, Alessandro Sperduti. [doi]
• Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement LearningAntonin Calba, Alain Dutech, Jérémy Fix. [doi]
• Quantifying Resemblance of Synthetic Medical Time-SeriesKaran Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett. [doi]
• Anomalous Cluster Detection in Large Networks with Diffusion-Percolation TestingCorentin Larroche, Johan Mazel, Stéphan Clémençon. [doi]