| 2021 | 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2021, Online event (Bruges, Belgium), October 6-8, 2021 |
| 2021 | A Baseline for Shapley Values in MLPs: from Missingness to Neutrality. Cosimo Izzo, Aldo Lipani, Ramin Okhrati, Francesca Medda |
| 2021 | A Lightweight Approach for Origin-Destination Matrix Anonymization. Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi |
| 2021 | A Multi-ELM Model for Incomplete Data. Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu |
| 2021 | A Parameterless t-SNE for Faithful Cluster Embeddings from Prototype-based Learning and CONN Similarity. Joshua Taylor, Erzsébet Merényi |
| 2021 | A Relational Model for One-Shot Classification. Arturs Polis, Alexander Ilin |
| 2021 | A bag of nodes primer on weightless graph classification. Raul Barbosa, Diego Carvalho, Priscila Lima, Felipe M. G. França |
| 2021 | AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context. Torben Gräber, Sebastian Vetter, Sascha Sarajalew, Michael Unterreiner, Dieter Schramm |
| 2021 | An Algorithmic Approach to Establish a Lower Bound for the Size of Semiring Neural Networks. Martin Böhm, Thomas Schmid |
| 2021 | Anomalous Cluster Detection in Large Networks with Diffusion-Percolation Testing. Corentin Larroche, Johan Mazel, Stéphan Clémençon |
| 2021 | Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. Luca Hermes, Barbara Hammer, Malte Schilling |
| 2021 | Behavior Constraining in Weight Space for Offline Reinforcement Learning. Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler |
| 2021 | Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint. Stéphane Chrétien, Emmanuel Caron |
| 2021 | Boundary-Based Fairness Constraints in Decision Trees and Random Forests. Géraldin Nanfack, Valentin Delchevalerie, Benoît Frénay |
| 2021 | CAS-Net: A Novel Coronary Artery Segmentation Neural Network. Rawaa Hamdi, Asma Kerkeni, Mohamed Hédi Bedoui, Asma Ben Abdallah |
| 2021 | Calliope - A Polyphonic Music Transformer. Andrea Valenti, Stefano Berti, Davide Bacciu |
| 2021 | Combining Attack Success Rate and DetectionRate for effective Universal Adversarial Attacks. Valentina Poggioni, Alina Elena Baia, Alfredo Milani |
| 2021 | Compact Neural Architecture Search for Local Climate Zones Classification. René Traoré, Andrés Camero, Xiaoxiang Zhu |
| 2021 | Complex Data: Learning Trustworthily, Automatically, and with Guarantees. Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti |
| 2021 | Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices. Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2021 | Concept Drift Segmentation via Kolmogorov-Trees. Fabian Hinder, Barbara Hammer |
| 2021 | Constraint optimization for Echo State Networks applied to satellite image forecasting. Jochen J. Steil, Yannic Lieder |
| 2021 | Context-specific sampling method for contextual explanations. Manik Madhikermi, Avleen Malhi, Kary Främling |
| 2021 | Continual Learning at the Edge: Real-Time Training on Smartphone Devices. Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni |
| 2021 | Continual Learning with Echo State Networks. Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco |
| 2021 | Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series. Delphine Bay, Clémence Bisot |
| 2021 | Correlated Weights Neural Layer with external control. Slawomir Golak |
| 2021 | Cross-modal verification for 3D object detection. Haodi Zhang, Alexandrina Rogozan, Abdelaziz Bensrhair |
| 2021 | Data-Efficient Training of High-Resolution Images in Medical Domain. Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig |
| 2021 | Decay Momentum for Improving Federated Learning. Miguel Fernandes, Catarina Silva, Joel Arrais, Alberto Cardoso, Bernardete Ribeiro |
| 2021 | Deep Echo State Networks for Functional Ambulation Categories Estimation. Luca Pedrelli, Marco Tramontano, Giuseppe Vannozzi, Andrea Mannini |
| 2021 | Deep Graph Convolutional Networks for Wind Speed Prediction. Tomasz Stanczyk, Siamak Mehrkanoon |
| 2021 | Deep Learning Model for Context-Dependent Survival Analysis. Raphaël Langhendries, Jérôme Lacaille |
| 2021 | Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability. Milad Leyli-Abadi, Abderrahmane Boubezoul |
| 2021 | Deep learning for graphs. Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi |
| 2021 | Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement Learning. Antonin Calba, Alain Dutech, Jérémy Fix |
| 2021 | Differentially Private Time Series Generation. Hiba Arnout, Johanna Bronner, Thomas A. Runkler |
| 2021 | Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann |
| 2021 | Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation. Christoph Raab, Sascha Saralajew, Frank-Michael Schleif |
| 2021 | Dynamic Graph Echo State Networks. Domenico Tortorella, Alessio Micheli |
| 2021 | Dynamic clustering and modeling of temporal data subject to common regressive effects. Louise Bonfils, Allou Samé, Latifa Oukhellou |
| 2021 | Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors. Ismael Matino, Stefano Dettori, Valentina Colla, Katharina Rechberger, Nina Kieberger |
| 2021 | Emotional Intensity Level Analysis of Speech Emotional Intensity Estimation. Megumi Kawase |
| 2021 | End-to-end Keyword Spotting using Xception-1d. Iván Vallés-Pérez, Juan Gómez-Sanchís, Marcelino Martínez-Sober, Joan Vila-Francés, Antonio José Serrano-López, Emilio Soria-Olivas |
| 2021 | Enhancing brain decoding using attention augmented deep neural networks. Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon |
| 2021 | Enhash: A Fast Streaming Algorithm For Concept Drift Detection. Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva |
| 2021 | Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow |
| 2021 | Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. John A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragán-Montero |
| 2021 | Evolutionary Deep Multi-Task Learning. Patrick Burke, Jonas Prellberg, Oliver Kramer |
| 2021 | Federated Learning - Methods, Applications and beyond. Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif |
| 2021 | Federated Learning Vector Quantization. Johannes Brinkrolf, Barbara Hammer |
| 2021 | Federated Learning approach for SpectralClustering. Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez |
| 2021 | Fourier-based Video Prediction through Relational Object Motion. Malte Mosbach, Sven Behnke |
| 2021 | Functional Gradient Descent for n-Tuple Regression. Rafael Fontella Katopodis, Priscila Lima, Felipe M. G. França |
| 2021 | Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoring. Rémi Souriau, Julie Fontecave Jallon, Bertrand Rivet |
| 2021 | Geometric Probing of Word Vectors. Madina Babazhanova, Maxat Tezekbayev, Zhenisbek Assylbekov |
| 2021 | Gradient representations in ReLU networks as similarity functions. Bálint Daróczy, Dániel Rácz |
| 2021 | Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu |
| 2021 | Hierarchical Planning in Multilayered State-Action Networks. Matthias Brucklacher, Hanspeter A. Mallot, Tristan Baumann |
| 2021 | IF: Iterative Fractional Optimization. Sarthak Chatterjee, Subhro Das, Sérgio Pequito |
| 2021 | Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt |
| 2021 | Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers. Jérôme Treboux, Rolf Ingold, Dominique Genoud |
| 2021 | Improvement on Generative Adversarial Network for Targeted Drug Design. Beatriz P. Santos, Maryam Abbasi, Tiago Pereira, Bernardete Ribeiro, Joel Arrais |
| 2021 | Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions. Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita |
| 2021 | In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models. Gianluca Boleto, Luca Oneto, Matteo Cardellini, Marco Maratea, Mauro Vallati, Renzo Canepa, Davide Anguita |
| 2021 | Inductive learning for product assortment graph completion. Marco Trincavelli, Haris Dukic, Georgios Deligiorgis, Pierpaolo Sepe, Davide Bacciu |
| 2021 | Instance-Based Multi-Label Classification via Multi-Target Distance Regression. Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen |
| 2021 | Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2021 | Judging competitions and benchmarks: a candidate election approach. Adrien Pavao, Isabelle Guyon, Michael Vaccaro |
| 2021 | Lifelong Learning from Event-based Data. Vadym Gryshchuk, Cornelius Weber, Chu Kiong Loo, Stefan Wermter |
| 2021 | Machine Learning for Measuring and Analyzing Online Social Communications. Chris Bronk, Amaury Lendasse, Peggy Lindner, Dan S. Wallach, Barbara Hammer |
| 2021 | Machine learning and data mining for urban mobility intelligence. Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun |
| 2021 | Multi-perspective embedding for non-metric time series classification. Maximilian Münch, Simon Heilig, Frank-Michael Schleif |
| 2021 | Multiobjective Reinforcement Learning in Optimized Drug Design. Maryam Abbasi, Tiago Pereira, Beatriz P. Santos, Bernardete Ribeiro, Joel Arrais |
| 2021 | Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant |
| 2021 | NNBMSS: a Novel and Fast Method for Model Structure Selection. Amaury Lendasse, Kallin Khan, Edward R. Ratner |
| 2021 | Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets. Maxence Chaverot, Maxime Carré, Michel Jourlin, Abdelaziz Bensrhair, Richard Grisel |
| 2021 | Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces. Antti Pihlajamäki, Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Sami Malola, Tommi Kärkkäinen, Hannu Häkkinen |
| 2021 | Predicting employee attrition with a more effective use of historical events. Abdel-Rahmen Korichi, Hamamache Kheddouci, Daniel West |
| 2021 | Privacy-Preserving Kernel Computation For Vertically Partitioned Data. Mirko Polato, Alberto Gallinaro, Fabio Aiolli |
| 2021 | Pruning Neural Networks with Supermasks. Vincent Rolfs, Matthias Kerzel, Stefan Wermter |
| 2021 | Quantifying Resemblance of Synthetic Medical Time-Series. Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett |
| 2021 | Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition. Lode Vuegen, Peter Karsmakers |
| 2021 | RecLVQ: Recurrent Learning Vector Quantization. Jensun Ravichandran, Thomas Villmann, Marika Kaden |
| 2021 | Reservoir Computing by Discretizing ODEs. Claudio Gallicchio |
| 2021 | Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. Federico Errica, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Alessio Micheli |
| 2021 | Sample efficient localization and stage prediction with autoencoders. Sebastian Hoch, Sascha Lange, Janis Keuper |
| 2021 | Semantic Prediction: Which One Should Come First, Recognition or Prediction? Hafez Farazi, Jan Nogga, Sven Behnke |
| 2021 | Semi-supervised learning with Bayesian Confidence Propagation Neural Network. Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman |
| 2021 | Slope: A First-order Approach for Measuring Gradient Obfuscation. Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli |
| 2021 | SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations. Arne P. Raulf, Sina Däubener, Ben Hack, Axel Mosig, Asja Fischer |
| 2021 | Sparse mixture of von Mises-Fisher distribution. Florian Barbaro, Fabrice Rossi |
| 2021 | Stochastic quartet approach for fast multidimensional scaling. Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee |
| 2021 | Supervised learning of convex piecewise linear approximations of optimization problems. Laurine Duchesne, Quentin Louveaux, Louis Wehenkel |
| 2021 | TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words. Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig |
| 2021 | Tangent Graph Convolutional Network. Luca Pasa, Nicolò Navarin, Alessandro Sperduti |
| 2021 | Temperature as a Regularizer for Semantic Segmentation. Chanho Kim, Won-Sook Lee |
| 2021 | The Benefits of Adversarial Defence in Generalisation. Luca Oneto, Sandro Ridella, Davide Anguita |
| 2021 | The Coming of Age of Interpretable and Explainable Machine Learning Models. Paulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann |
| 2021 | The LVQ-based Counter Propagation Network - an Interpretable Information Bottleneck Approach. Marika Kaden, Ronny Schubert, Mehrdad Mohannazadeh Bakhtiari, Lucas Schwarz, Thomas Villmann |
| 2021 | The partial response SVM. Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo Lisboa |
| 2021 | Towards Robust Auxiliary Tasks for Language Adaptation. Gil Rocha, Henrique Lopes Cardoso |
| 2021 | Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis. Max Lübbering, Maren Pielka, Kajaree Das, Michael Gebauer, Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa |
| 2021 | Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy. Valentin Hamaide, François Glineur |
| 2021 | Transformers for Molecular Graph Generation. Tim Cofala, Oliver Kramer |
| 2021 | Unsupervised Real-time Anomaly Detection for Multivariate Mobile Phone Traffic Series. Evelyne Akopyan, Angelo Furno, Nour-Eddin El Faouzi, Eric Gaume |
| 2021 | Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters. Thomas Luka, Laure Soulier, David Picard |
| 2021 | Validating static call graph-based malware signatures using community detection methods. Attila Mester, Zalán Bodó |
| 2021 | Weightless Neural Networks for text classification using tf-idf. Antonio Sorgente, Massimo De Gregorio, Giuseppe Vettigli |