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 |
|---|---|---|
| 2016 | From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors. | Pekka Siirtola, Heli Koskimki, Juha Rning |
| 2016 | RBClust: High quality class-specific clustering using rule-based classification. | Michael J. Siers, Md Zahidul Islam |
| 2016 | Using a feature selection ensemble on DNA microarray datasets. | Borja Seijo-Pardo, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2016 | Learning in indefinite proximity spaces - recent trends. | Frank-Michael Schleif, Peter Tio, Yingyu Liang |
| 2016 | Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. | Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel |
| 2016 | Using semantic similarity for multi-label zero-shot classification of text documents. | Prateek Veeranna Sappadla, Jinseok Nam, Eneldo Loza Menca, Johannes Frnkranz |
| 2016 | Assessment of diabetic retinopathy risk with random forests. | Silvia Sanrom, Antonio Moreno, Ada Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Ramon Sagarra-Alamo |
| 2016 | Human-centered machine learning through interactive visualization: review and open challenges. | Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Daniel Weiskopf, Stephen C. North, Daniel A. Keim |
| 2016 | Spatiotemporal ICA improves the selection of differentially expressed genes. | Emilie Renard, Andrew E. Teschendorff, Pierre-Antoine Absil |
| 2016 | Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery. | Julien Rebetez, Hctor F. Satizbal, Matteo Mota, Dorothea Noll, Lucie Bchi, Marina Wendling, Bertrand Cannelle, Andrs Prez-Uribe, Stphane Burgos |
| 2016 | Incremental hierarchical indexing and visualisation of large image collections. | Frdric Rayar, Sabine Barrat, Fatma Bouali, Gilles Venturini |
| 2016 | Semi-Supervised Classification of Social Textual Data Using WiSARD. | Fbio Medeiros Rangel, Fabrcio Firmino de Faria, Priscila M. V. Lima, Jonice Oliveira |
| 2016 | Instance and feature weighted k-nearest-neighbors algorithm. | Gabriel Prat-Masramon, Llus A. Belanche |
| 2016 | Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. | Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis |
| 2016 | Bag-of-Steps: predicting lower-limb fracture rehabilitation length. | Albert Pla, Beatriz Lpez, Cristofor Nogueira, Natalia Mordvaniuk, Taco J. Blokhuis, Herman R. Holtslag |
| 2016 | Multi-task learning for speech recognition: an overview. | Gueorgui Pironkov, Stphane Dupont, Thierry Dutoit |
| 2016 | On the improvement of static force capacity of humanoid robots based on plants behavior. | Juliano Pierezan, Roberto Zanetti Freire, Lucas Weihmann, Gilberto Reynoso-Meza, Leandro dos Santos Coelho |
| 2016 | Fast Support Vector Clustering. | Tung Pham, Trung Le, Thai Hoang Le, Dat Tran |
| 2016 | Auto-adaptive Laplacian Pyramids. | ngela Fernndez, Neta Rabin, Dalia Fishelov, Jos R. Dorronsoro |
| 2016 | Controlling adaptive quantum-phase estimation with scalable reinforcement learning. | Pantita Palittapongarnpim, Peter Wittek, Barry C. Sanders |
| 2016 | Gaussian process prediction for time series of structured data. | Benjamin Paassen, Christina Gpfert, Barbara Hammer |
| 2016 | Random Forests Model Selection. | Ilenia Orlandi, Luca Oneto, Davide Anguita |
| 2016 | Parallelized unsupervised feature selection for large-scale network traffic analysis. | Bruno Ordozgoiti, Sandra Gmez Canaval, Alberto Mozo |
| 2016 | Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2016 | Measuring the Expressivity of Graph Kernels through the Rademacher Complexity. | Luca Oneto, Nicol Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita |
1,126–1,150 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)