European Symposium on Artificial Neural Networks
ESANN
B
CORE rank
CORE rank (raw)
B
Fields of research
Machine Learning
Papers indexed
3,038
1993–2026
Papers per year
1993126 peak2026
Most published authors
ESANN papers
3,038 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2023 | Enhancing Evolution Strategies with Evolution Path Bias. | Oliver Kramer |
| 2023 | Secure Federated Learning with Kernel Affine Hull Machines. | Mohit Kumar, Bernhard Moser, Lukas Fischer |
| 2022 | Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. | Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen |
| 2022 | High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits. | David Young, Douglas J. Leith |
| 2022 | Reinforcement learning for constructing low density sign representations of Boolean functions. | Oytun Yapar, Erhan ztop |
| 2022 | Developmental Modular Reinforcement Learning. | Jianyong Xue, Frdric Alexandre |
| 2022 | A WiSARD-based conditional branch predictor. | Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Arajo, Priscila M. V. Lima, Maurcio Breternitz Jr., Lizy K. John, Felipe M. G. Frana, Diego Leonel Cadette Dutra |
| 2022 | Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine. | Thomas Villmann, Jonas S. Almeida, John A. Lee, Susana Vinga |
| 2022 | Modular Representations for Weak Disentanglement. | Andrea Valenti, Davide Bacciu |
| 2022 | Neural-network-based estimation of normal distributions in black-box optimization. | Jir Tumpach, Jan Koza, Martin Holena |
| 2022 | Beyond Homophily with Graph Echo State Networks. | Domenico Tortorella, Alessio Micheli |
| 2022 | Pruning Weightless Neural Networks. | Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Arajo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. Frana, Igor D. S. Miranda, Maurcio Breternitz Jr., Lizy K. John |
| 2022 | Attention-based Ingredient Phrase Parser. | Zhengxiang Shi, Pin Ni, Meihui Wang, To Eun Kim, Aldo Lipani |
| 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 | Graph Neural Networks for Propositional Model Counting. | Gaia Saveri |
| 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 | Deep networks with ReLU activation functions can be smooth statistical models. | Joseph Rynkiewicz |
| 2022 | Embedding-based next song recommendation for playlists. | Raphal Romero, Tijl De Bie |
| 2022 | Wind power forecasting based on bagging extreme learning machine ensemble model. | Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Jos Henrique Kleinbing Larcher, Cristiane Canton, Viviana Cocco Mariani, Leandro dos Santos Coelho |
| 2022 | Continual Incremental Language Learning for Neural Machine Translation. | Michele Resta, Davide Bacciu |
| 2022 | Improving Laplacian Pyramids Regression with Localization in Frequency and Time. | Neta Rabin, Ben Hen, ngela Fernndez |
| 2022 | Dynamics-aware Representation Learning via Multivariate Time Series Transformers. | Michael Potter, Ilkay Yildiz Potter, Octavia I. Camps, Mario Sznaier |
| 2022 | Bayes Point Rule Set Learning. | Mirko Polato, Fabio Aiolli, Luca Bergamin, Tommaso Carraro |
| 2022 | Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. | Pierre Poitier, Jrme Fink, Benot Frnay |
| 2022 | Predicting Test Execution Times with Asymmetric Random Forests. | Francisco Lucas Falcao Pereira, Helio Silva, Joo Gomes, Javam C. Machado |
476–500 of 3,038← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- A*ICLRInternational Conference on Learning Representations
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)