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

Hannes Eriksson

• ESANN 2020 - Epistemic Risk-Sensitive Reinforcement Learning [Details]

Udo A. Ernst

• ESANN 2006 - On-line adaptation of neuro-prostheses with neuronal evaluation signals [Details]

Markus Roland Ernst

• ESANN 2020 - Recurrent Feedback Improves Recognition of Partially Occluded Objects [Details]

Federico Errica

• ESANN 2022 - Deep Learning for Graphs [Details]
• ESANN 2023 - Graph Representation Learning [Details]
• ESANN 2023 - Hidden Markov Models for Temporal Graph Representation Learning [Details]
• ESANN 2025 - Foundation and Generative Models for Graphs [Details]

Federico Errica

• ESANN 2020 - Theoretically Expressive and Edge-aware Graph Learning [Details]
• ESANN 2021 - Complex Data: Learning Trustworthily, Automatically, and with Guarantees [Details]
• ESANN 2021 - Robust Malware Classification via Deep Graph Networks on Call Graph Topologies [Details]

Federico Errica

• No papers found

Pablo Escandell

• ESANN 2011 - Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps [Details]
• ESANN 2011 - Growing Hierarchical Sectors on Sectors [Details]

Pablo Escandell-Montero

• ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
• ESANN 2012 - extended visualization method for classification trees [Details]
• ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
• ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
• ESANN 2013 - ManiSonS: A New Visualization Tool for Manifold Clustering [Details]
• ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
• ESANN 2014 - Ensembles of extreme learning machine networks for value prediction [Details]

Anna I. Esparcia-Alcázar

• ESANN 2006 - Using distributed genetic programming to evolve classifiers for a brain computer interface [Details]

S. Espejo

• ESANN 2001 - CMOS design of focal plane programmable array processors [Details]

Roberto Esposito

• ESANN 2023 - Hierarchical priors for Hyperspherical Prototypical Networks [Details]
• ESANN 2024 - FedHP: Federated Learning with Hyperspherical Prototypical Regularization [Details]

A. Esposito

• ESANN 1998 - An incremental local radial basis function network [Details]

Pierre Esseiva

• ESANN 2006 - Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms [Details]

David Esteban Martínez

• ESANN 2024 - AI-based algorithm for intrusion detection on a real dataset [Details]

Alejandro Esteban Martínez

• ESANN 2024 - AI-based algorithm for intrusion detection on a real dataset [Details]

Pablo Estevez

• ESANN 2018 - Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders [Details]

Victor Estrade

• ESANN 2018 - Systematics aware learning : a case study in high energy physics [Details]

Terence Etchells

• ESANN 2006 - Learning what is important: feature selection and rule extraction in a virtual course [Details]

C. Eurich

• ESANN 1999 - Critical and non-critical avalanche behavior in networks of integrate-and-fire neurons [Details]

C.W. Eurich

• ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]

Gabriele Eusepi

• No papers found

Gabriele Eusepi

• ESANN 2022 - A Deep Learning approach for oocytes segmentation and analysis [Details]

Paul Evangelista

• ESANN 2005 - unsupervised fuzzy ensembles and their use in intrusion detection [Details]

T. Evgeniou

• ESANN 1999 - From regression to classification in support vector machines [Details]

Luke Ewig

• ESANN 2016 - Deep neural network analysis of go games: which stones motivate a move? [Details]

Florian Eyben

• ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]