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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

ESANN papers

3,038 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2019Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier.Leonardo Tavares Oliveira, Min Soo Kim, Alberto A. Del Barrio Garca, Nader Bagherzadeh, Ricardo Menotti
2019On the definition of complex structured feature spaces.Nicol Navarin, Dinh Van Tran, Alessandro Sperduti
2019Towards a device-free passive presence detection system with Bluetooth Low Energy beacons.Maximilian Mnch, Karsten Huffstadt, Frank-Michael Schleif
2019Tensor factorization to extract patterns in multimodal EEG data.Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, Andr Mouraux, Michel Verleysen
2019Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems.Krishna Mohan Mishra, Tomi Krogerus, Kalevi Huhtala
2019Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture.Florian Mirus, Benjamin Zorn, Jrg Conradt
2019Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.Florian Mirus, Peter Blouw, Terrence C. Stewart, Jrg Conradt
2019Human feedback in continuous actor-critic reinforcement learning.Cristian Milln, Bruno J. T. Fernandes, Francisco Cruz
2019Transfer Learning for transferring machine-learning based models among hyperspectral sensors.Patrick Menz, Andreas Backhaus, Udo Seiffert
2019Adversarial robustness of linear models: regularization and dimensionality.Istvn Megyeri, Istvn Hegeds, Mrk Jelasity
2019Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings.Stefan Mautner, Rolf Backofen, Fabrizio Costa
2019Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results.Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil
2019Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality.Luca Masera, Enrico Blanzieri
2019Deep hybrid approach for 3D plane segmentation.Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Now
2019Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction.Matteo Maggiolo, Gerasimos Spanakis
2019TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces.Galle Loosli
2019Modal sense classification with task-specific context embeddings.Bo Li, Mathieu Dehouck, Pascal Denis
2019Deep Weisfeiler-Lehman assignment kernels via multiple kernel learning.Nils M. Kriege
2019Conditional BRUNO: a neural process for exchangeable labelled data.Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre
2019Modeling Sparse Data as Input for Weightless Neural Network.Luis Filipe Kopp, Jos Barbosa-Filho, Priscila Machado Vieira Lima, Claudio M. de Farias
2019A Simple and Effective Scheme for Data Pre-processing in Extreme Classification.Sujay Khandagale, Rohit Babbar
2019Model selection for Extreme Minimal Learning Machine using sampling.Tommi Krkkinen
2019Hybrid vibration signal monitoring approach for rolling element bearings.Jarno Kansanaho, Tommi Krkkinen
2019interpretable dynamics models for data-efficient reinforcement learning.Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
2019Online Bayesian Shrinkage Regression.Waqas Jamil, Abdelhamid Bouchachia
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