Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Gianluca Coda
  • ESANN 2023 - Improving the DRASiW performance by exploiting its own "Mental Images" [Details]
  • ESANN 2026 - Enhancing classification performance at the RAM-neuron level [Details]
Gianluca Coda
  • ESANN 2024 - ''Mental Images'' driven classification [Details]
  • ESANN 2025 - Hierarchical decomposition through "Mental Images" evaluation [Details]
J. Codina
  • ESANN 1994 - Capabilities of a structured neural network. Learning and comparison with classical techniques [Details]
Leandro dos S. Coelho
  • ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
Leandro dos Santos Coelho
  • No papers found
André Coelho
  • ESANN 2010 - Image registration by the extended evolutionary self-organizing map [Details]
Leandro Coelho
  • ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
  • ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]
Frederico Coelho
  • ESANN 2012 - Cluster homogeneity as a semi-supervised principle for feature selection using mutual information [Details]
Leandro Coelho
  • ESANN 2025 - Comparison of convolutional neural networks approaches applied to the diagnosis of Alzheimer’s disease [Details]
Leandro dos Santos Coelho
  • ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
  • ESANN 2017 - Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine [Details]
Leandro dos Santos Coelho
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Florentin Coeurdoux
  • ESANN 2022 - Sliced-Wasserstein normalizing flows: beyond maximum likelihood training [Details]
Florentin Coeurdoux
  • No papers found
Tim Cofala
  • ESANN 2020 - Tournament Selection Improves Cartesian Genetic Programming for Atari Games [Details]
  • ESANN 2021 - Transformers for Molecular Graph Generation [Details]
Samuel Cognolato
  • ESANN 2025 - D4: Distance Diffusion for a Truly Equivariant Molecular Design [Details]
Sarel Cohen
  • ESANN 2024 - Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange [Details]
S. Cohen
  • ESANN 2003 - Ensemble of hybrid networks with strong regularization [Details]
Roxane Cohen
  • ESANN 2026 - Deobfuscation as a GNN-Based Graph-Edit Problem by Reinforcement Learning [Details]
V. Colla
  • ESANN 1998 - A comparison between weighted radial basis functions and wavelet networks [Details]
  • ESANN 1998 - A neural approach to a sensor fusion problem [Details]
  • ESANN 1999 - Neuro-wavelet parametric characterization of hardness profiles [Details]
  • ESANN 1999 - Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons [Details]
  • ESANN 2000 - Training activation function in parametric classification [Details]
  • ESANN 2003 - Comparison of traditional and neural systems for train speed estimation [Details]
Valentina Colla
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Valentina Colla
  • ESANN 2026 - Variational Deep Embedding for Unsupervised Clustering of Industrial Noise in Steelmaking Plants [Details]
Valentina Colla
  • ESANN 2004 - comparison of different classification methods on castabilty data coming from steelmaking practice [Details]
Valentina Colla
  • ESANN 2004 - meaningful discretization of continuous features for association rules mining by means of a SOM [Details]
Leandro Collier
  • ESANN 2025 - SecureBFL: a Blockchain-enhanced federated learning architecture with MPC [Details]
Anne-Sophie Collin
  • ESANN 2023 - Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection [Details]
Greg Collinge
  • ESANN 2019 - Defending against poisoning attacks in online learning settings [Details]
Michele Colombo
  • ESANN 2017 - ELM Preference Learning for Physiological Data [Details]
C. Comaniciu
  • ESANN 1996 - Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings [Details]
Etienne Côme
  • ESANN 2009 - Partially-supervised learning in Independent Factor Analysis [Details]
  • ESANN 2010 - Self Organizing Star (SOS) for health monitoring [Details]
  • ESANN 2013 - Clustering the Vélib’ origin-destinations flows by means of Poisson mixture models [Details]
  • ESANN 2013 - Hierarchical and multiscale Mean Shift segmentation of population grids [Details]
  • ESANN 2017 - Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration [Details]
  • ESANN 2017 - Processing, mining and visualizing massive urban data [Details]
Etienne Come
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
  • ESANN 2021 - Machine learning and data mining for urban mobility intelligence [Details]