ESANN

Keyphrases

Publications

2022

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
Wind power forecasting based on bagging extreme learning machine ensemble model. ESANN (2022)
Oren Neumann, Claudius Gros
Size Scaling in Self-Play Reinforcement Learning. ESANN (2022)
Nikhil Kilari, Gaurab Bhattacharya, K. Pavan Kumar Reddy, Jayavardhana Gubbi, Arpan Pal
Appearance-Context aware Axial Attention for Fashion Landmark Detection. ESANN (2022)
Adrien Pavão, Isabelle Guyon, Zhengying Liu
Filtering participants improves generalization in competitions and benchmarks. ESANN (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN (2022)
Jirí Tumpach, Jan Koza, Martin Holena
Neural-network-based estimation of normal distributions in black-box optimization. ESANN (2022)
Duccio Meconcelli, Simone Bonechi, Giovanna Maria Dimitri
Deep Learning Approaches for mice glomeruli segmentation. ESANN (2022)
Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer
Federated learning vector quantization for dealing with drift between nodes. ESANN (2022)
Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil
Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. ESANN (2022)
Pierre Poitier, Jérôme Fink, Benoît Frénay
Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. ESANN (2022)
Mohammed El Amine Mokhtari, Virginie Vandenbulcke, Sohaib Laraba, Matei Mancas, Elias Ennadifi, Mohamed Lamine Tazir, Bernard Gosselin
Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN (2022)
Valerio De Caro, Claudio Gallicchio, Davide Bacciu
Federated Adaptation of Reservoirs via Intrinsic Plasticity. ESANN (2022)
João Gabriel Corrêa Krüger, Jean Paul Barddal, Alceu de Souza Britto Jr.
A Machine Learning Approach for School Dropout Prediction in Brazil. ESANN (2022)
Yacine Bel-Hadj, Wout Weijtjens, Francisco de Nolasco Santos
Anomaly detection and representation learning in an instrumented railway bridge. ESANN (2022)
Joseph Rynkiewicz
Deep networks with ReLU activation functions can be smooth statistical models. ESANN (2022)
Joanna Komorniczak, Pawel Ksieniewicz
Data stream generation through real concept's interpolation. ESANN (2022)
Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández
Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN (2022)
Michael Potter, Ilkay Yildiz Potter, Octavia I. Camps, Mario Sznaier
Dynamics-aware Representation Learning via Multivariate Time Series Transformers. ESANN (2022)
Gerrit Luimstra, Kerstin Bunte
Adaptive Gabor Filters for Interpretable Color Texture Classification. ESANN (2022)
Federico Caldart, Luca Pasa, Luca Oneto, Alessandro Sperduti, Nicolò Navarin
Biased Edge Dropout in NIFTY for Fair Graph Representation Learning. ESANN (2022)
Nermeen Abou Baker, David Rohrschneider, Uwe Handmann
Battery detection of XRay images using transfer learning. ESANN (2022)
Paolo Andreini, Giovanna Maria Dimitri
Deep Semantic Segmentation Models in Computer Vision. ESANN (2022)
Mohammadmahdi Ghahramani, Fabio Aiolli
Price direction prediction in financial markets, using Random Forest and Adaboost. ESANN (2022)
Giovanni Bonetta, Rossella Cancelliere
Lightening CNN architectures by regularization driven weights' pruning. ESANN (2022)
Lydia Abady, Giovanna Maria Dimitri, Mauro Barni
Detection and Localization of GAN Manipulated Multi-spectral Satellite Images. ESANN (2022)
Philip Kenneweg, Sarah Schröder, Barbara Hammer
Neural Architecture Search for Sentence Classification with BERT. ESANN (2022)
Madalina Olteanu, Fabrice Rossi, Florian Yger
Challenges in anomaly and change point detection. ESANN (2022)
Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN (2022)
Anthony Fillion, Thibaut Kulak, François Blayo
A bayesian variational principle for dynamic self organizing maps. ESANN (2022)
Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh
Supervised dimensionality reduction technique accounting for soft classes. ESANN (2022)
Luca Argentieri, Claudio Gallicchio, Alessio Micheli
Input Routed Echo State Networks. ESANN (2022)
Benoît Loucheur, Pierre-Antoine Absil, Michel Journée
Gap filling in air temperature series by matrix completion methods. ESANN (2022)
Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro
The role of feature selection in personalized recommender systems. ESANN (2022)
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training. ESANN (2022)
Michele Resta, Davide Bacciu
Continual Incremental Language Learning for Neural Machine Translation. ESANN (2022)
Francisco Pereira, Helio Silva, João Gomes, Javam C. Machado
Predicting Test Execution Times with Asymmetric Random Forests. ESANN (2022)
André Artelt, Roel Visser, Barbara Hammer
Model Agnostic Local Explanations of Reject. ESANN (2022)
Neta Rabin, Ben Hen, Ángela Fernández
Improving Laplacian Pyramids Regression with Localization in Frequency and Time. ESANN (2022)
Helen Schneider, David Biesner, Sebastian Nowak, Yannik C. Layer, Maike Theis, Wolfgang Block, Benjamin Wulff, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa
Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation. ESANN (2022)
Luca Oneto, Simone Minisi, Andrea Garrone, Renzo Canepa, Carlo Dambra, Davide Anguita
Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. ESANN (2022)
Jean Coussirou, Thomas Vanaret, Jérôme Lacaille
Anomaly detections on the oil system of a turbofan engine by a neural autoencoder. ESANN (2022)
Ignacio Díaz Blanco, José M. Enguita, Diego García-Pérez, Ana González-Muñiz, Abel Alberto Cuadrado Vega, Maria Dolores Chiara-Romero, Nuria Valdés
Interactive dual projections for gene expression analysis. ESANN (2022)
Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro
Bayes Point Rule Set Learning. ESANN (2022)
István Megyeri, Ammar Al-Najjar
PCA improves the adversarial robustness of neural networks. ESANN (2022)
Lukas Enderich, Simon Heming
Real-time capable Ensemble Estimation for 2D Object Detection. ESANN (2022)
Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Human State Monitoring. ESANN (2022)
Francisco de Nolasco Santos, Pietro D'Antuono, Nymfa Noppe, Wout Weijtjens, Christof Devriendt
Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment. ESANN (2022)
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
Pruning Weightless Neural Networks. ESANN (2022)
Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. ESANN (2022)
Alexander Gepperth, Timothée Lesort
Tutorial - Continual Learning beyond classification. ESANN (2022)