| 2022 | 1D vs 2D convolutional neural networks for scalp high frequency oscillations identification. Gaëlle Milon-Harnois, Nisrine Jrad, Daniel Schang, Patrick Van Bogaert, Pierre Chauvet |
| 2022 | 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022 |
| 2022 | A Deep Learning approach for oocytes segmentation and analysis. Paolo Andreini, Niccolò Pancino, Filippo Costanti, Gabriele Eusepi, Barbara Toniella Corradini |
| 2022 | A Fast and Simple Evolution Strategy with Covariance Matrix Estimation. Oliver Kramer |
| 2022 | A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. Berardino Barile, Pooya Ashtari, Françoise Durand-Dubief, Frederik Maes, Dominique Sappey-Marinier, Sabine Van Huffel |
| 2022 | A Machine Learning Approach for School Dropout Prediction in Brazil. João Gabriel Corrêa Krüger, Jean Paul Barddal, Alceu de Souza Britto Jr. |
| 2022 | A WiSARD-based conditional branch predictor. Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz Jr., Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra |
| 2022 | A bayesian variational principle for dynamic self organizing maps. Anthony Fillion, Thibaut Kulak, François Blayo |
| 2022 | A weakly supervised approach to skin lesion segmentation. Simone Bonechi |
| 2022 | Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen |
| 2022 | Adaptive Gabor Filters for Interpretable Color Texture Classification. Gerrit Luimstra, Kerstin Bunte |
| 2022 | Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif |
| 2022 | An empirical comparison of generators in replay-based continual learning. Nadzeya Dzemidovich, Alexander Gepperth |
| 2022 | Anomaly detection and representation learning in an instrumented railway bridge. Yacine Bel-Hadj, Wout Weijtjens, Francisco de Nolasco Santos |
| 2022 | Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. Jean Coussirou, Thomas Vanaret, Jérôme Lacaille |
| 2022 | Appearance-Context aware Axial Attention for Fashion Landmark Detection. Nikhil Kilari, Gaurab Bhattacharya, K. Pavan Kumar Reddy, Jayavardhana Gubbi, Arpan Pal |
| 2022 | Attention-based Ingredient Phrase Parser. Zhengxiang Shi, Pin Ni, Meihui Wang, To Eun Kim, Aldo Lipani |
| 2022 | Battery detection of XRay images using transfer learning. Nermeen Abou Baker, David Rohrschneider, Uwe Handmann |
| 2022 | Bayes Point Rule Set Learning. Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro |
| 2022 | Beyond Homophily with Graph Echo State Networks. Domenico Tortorella, Alessio Micheli |
| 2022 | Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin |
| 2022 | Challenges in anomaly and change point detection. Madalina Olteanu, Fabrice Rossi, Florian Yger |
| 2022 | Classification of preclinical markers in Alzheimer's disease via WiSARD classifier. Massimo De Gregorio, Alfonso Di Costanzo, Andrea Motta, Debora Paris, Antonio Sorgente |
| 2022 | Constraint Guided Gradient Descent: Guided Training with Inequality Constraints. Quinten Van Baelen, Peter Karsmakers |
| 2022 | Continual Incremental Language Learning for Neural Machine Translation. Michele Resta, Davide Bacciu |
| 2022 | Continual Learning for Human State Monitoring. Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu |
| 2022 | Contrasting Explanation of Concept Drift. Fabian Hinder, André Artelt, Valerie Vaquet, Barbara Hammer |
| 2022 | Data stream generation through real concept's interpolation. Joanna Komorniczak, Pawel Ksieniewicz |
| 2022 | Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices. Matthias Kissel, Klaus Diepold |
| 2022 | Deep Learning Approaches for mice glomeruli segmentation. Duccio Meconcelli, Simone Bonechi, Giovanna Maria Dimitri |
| 2022 | Deep Learning for Graphs. Davide Bacciu, Federico Errica, Nicolò Navarin, Luca Pasa, Daniele Zambon |
| 2022 | Deep Semantic Segmentation Models in Computer Vision. Paolo Andreini, Giovanna Maria Dimitri |
| 2022 | Deep Semantic Segmentation in Skin Detection. Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni |
| 2022 | Deep latent position model for node clustering in graphs. Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche |
| 2022 | Deep learning for Parkinson's disease symptom detection and severity evaluation using accelerometer signal. Tomasz Gutowski |
| 2022 | Deep networks with ReLU activation functions can be smooth statistical models. Joseph Rynkiewicz |
| 2022 | Detection and Localization of GAN Manipulated Multi-spectral Satellite Images. Lydia Abady, Giovanna Maria Dimitri, Mauro Barni |
| 2022 | Developmental Modular Reinforcement Learning. Jianyong Xue, Frédéric Alexandre |
| 2022 | Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Maurício Breternitz Jr., Lizy K. John, Priscila M. V. Lima, Felipe M. G. França |
| 2022 | Diverse Memory for Experience Replay in Continual Learning. Andrii Krutsylo, Pawel Morawiecki |
| 2022 | Do We Really Need a New Theory to Understand the Double-Descent? Luca Oneto, Sandro Ridella, Davide Anguita |
| 2022 | Dynamics-aware Representation Learning via Multivariate Time Series Transformers. Michael Potter, Ilkay Yildiz Potter, Octavia I. Camps, Mario Sznaier |
| 2022 | Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features. Katrin Sophie Bohnsack, Marika Kaden, Julius Voigt, Thomas Villmann |
| 2022 | Embedding-based next song recommendation for playlists. Raphaël Romero, Tijl De Bie |
| 2022 | Feature Compression Using Dynamic Switches in Multi-split CNNs. Suresh Kirthi Kumaraswamy, Alexey Ozerov, Ngoc Q. K. Duong, Anne Lambert, François Schnitzler, Patrick Fontaine |
| 2022 | Feature selection for transfer learning using particle swarm optimization and complexity measures. Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández |
| 2022 | Federated Adaptation of Reservoirs via Intrinsic Plasticity. Valerio De Caro, Claudio Gallicchio, Davide Bacciu |
| 2022 | Federated learning vector quantization for dealing with drift between nodes. Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2022 | Filtering participants improves generalization in competitions and benchmarks. Adrien Pavão, Isabelle Guyon, Zhengying Liu |
| 2022 | From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert |
| 2022 | Gap filling in air temperature series by matrix completion methods. Benoît Loucheur, Pierre-Antoine Absil, Michel Journée |
| 2022 | Graph Neural Networks for Propositional Model Counting. Gaia Saveri |
| 2022 | Graph-Induced Geodesics Approximation for Non-Euclidian K-Means. Hervé Frezza-Buet |
| 2022 | High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits. David Young, Douglas J. Leith |
| 2022 | Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil |
| 2022 | Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa |
| 2022 | Improving Laplacian Pyramids Regression with Localization in Frequency and Time. Neta Rabin, Ben Hen, Ángela Fernández |
| 2022 | Improving Zorro Explanations for Sparse Observations with Dense Proxy Data. Andreas Mazur, André Artelt, Barbara Hammer |
| 2022 | Input Routed Echo State Networks. Luca Argentieri, Claudio Gallicchio, Alessio Micheli |
| 2022 | Interactive dual projections for gene expression analysis. Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Ana González-Muñiz, Abel Alberto Cuadrado Vega, Maria Dolores Chiara-Romero, Nuria Valdés |
| 2022 | Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave. Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Maria Dolores Chiara-Romero, Nuria Valdés, Ana González-Muñiz, Abel Alberto Cuadrado Vega |
| 2022 | Lightening CNN architectures by regularization driven weights' pruning. Giovanni Bonetta, Rossella Cancelliere |
| 2022 | Machine learning for automated quality control in injection moulding manufacturing. Steven Michiels, Cédric De Schryver, Lynn Houthuys, Frederik Vogeler, Frederik Desplentere |
| 2022 | Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment. Francisco de Nolasco Santos, Pietro D'Antuono, Nymfa Noppe, Wout Weijtjens, Christof Devriendt |
| 2022 | Model Agnostic Local Explanations of Reject. André Artelt, Roel Visser, Barbara Hammer |
| 2022 | Modular Representations for Weak Disentanglement. Andrea Valenti, Davide Bacciu |
| 2022 | Multioutput Regression Neural Network Training via Gradient Boosting. Seyedsaman Emami, Gonzalo Martínez-Muñoz |
| 2022 | Neural Architecture Search for Sentence Classification with BERT. Philip Kenneweg, Sarah Schröder, Barbara Hammer |
| 2022 | Neural-network-based estimation of normal distributions in black-box optimization. Jirí Tumpach, Jan Koza, Martin Holena |
| 2022 | Orthogonality in Additive Echo State Networks. Andrea Ceni, Claudio Gallicchio |
| 2022 | PCA improves the adversarial robustness of neural networks. István Megyeri, Ammar Al-Najjar |
| 2022 | Predicting Test Execution Times with Asymmetric Random Forests. Francisco Lucas Falcao Pereira, Helio Silva, João Gomes, Javam C. Machado |
| 2022 | Price direction prediction in financial markets, using Random Forest and Adaboost. Mohammadmahdi Ghahramani, Fabio Aiolli |
| 2022 | Pruning Weightless Neural Networks. Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John |
| 2022 | ROP inception: signal estimation with quadratic random sketching. Rémi Delogne, Vincent Schellekens, Laurent Jacques |
| 2022 | Real-time capable Ensemble Estimation for 2D Object Detection. Lukas Enderich, Simon Heming |
| 2022 | Recurrent Restricted Kernel Machines for Time-series Forecasting. Arun Pandey, Hannes De Meulemeester, Henri De Plaen, Bart De Moor, Johan A. K. Suykens |
| 2022 | Reinforcement learning for constructing low density sign representations of Boolean functions. Oytun Yapar, Erhan Öztop |
| 2022 | Revisiting Edge Pooling in Graph Neural Networks. Francesco Landolfi |
| 2022 | Semi-synthetic Data for Automatic Drone Shadow Detection. Mohammed El Amine Mokhtari, Virginie Vandenbulcke, Sohaib Laraba, Matei Mancas, Elias Ennadifi, Mohamed Lamine Tazir, Bernard Gosselin |
| 2022 | Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita |
| 2022 | Size Scaling in Self-Play Reinforcement Learning. Oren Neumann, Claudius Gros |
| 2022 | Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais |
| 2022 | Supervised dimensionality reduction technique accounting for soft classes. Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh |
| 2022 | The role of feature selection in personalized recommender systems. Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro |
| 2022 | Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. Pierre Poitier, Jérôme Fink, Benoît Frénay |
| 2022 | Tutorial - Continual Learning beyond classification. Alexander Gepperth, Timothée Lesort |
| 2022 | Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine. Thomas Villmann, Jonas S. Almeida, John A. Lee, Susana Vinga |
| 2022 | Wind power forecasting based on bagging extreme learning machine ensemble model. Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Cristiane Canton, Viviana Cocco Mariani, Leandro dos Santos Coelho |