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
Danilo Franco
  • ESANN 2023 - Mitigating Robustness Bias: Theoretical Results and Empirical Evidences [Details]
Damien Francois
  • ESANN 2005 - Non-Euclidean metrics for similarity search in noisy datasets [Details]
  • ESANN 2006 - The permutation test for feature selection by mutual information [Details]
  • ESANN 2007 - Feature clustering and mutual information for the selection of variables in spectral data [Details]
  • ESANN 2008 - Methodology and standards for data analysis with machine learning tools [Details]
  • ESANN 2009 - Supervised variable clustering for classification of NIR spectra [Details]
  • ESANN 2010 - Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising [Details]
  • ESANN 2011 - Class-Specific Feature Selection for One-Against-All Multiclass SVMs [Details]
Leboulanger Francois
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
LeFoll Frank
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
Benedikt Franke
  • ESANN 2024 - Robustness and Regularization in Hierarchical Re-Basin [Details]
Lukas Franken
  • ESANN 2020 - Explorations in Quantum Neural Networks with Intermediate Measurements [Details]
Florian Franzen
  • ESANN 2019 - visualizing image classification in fourier domain [Details]
M. Franzmeier
  • ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
P. Frasconi
  • ESANN 1999 - A topological transformation for hidden recursive modelsarchitecture networks [Details]
Matthias Freiberger
  • ESANN 2020 - Self-organized dynamic attractors in recurrent neural networks [Details]
Roberto Z. Freire
  • 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]
  • ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
Roberto Freire
  • ESANN 2017 - Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine [Details]
Roberto Zanetti Freire
  • ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
Ananda Freire
  • ESANN 2012 - Learning visuo-motor coordination for pointing without depth calculation [Details]
  • ESANN 2014 - A new model selection approach for the ELM network using metaheuristic optimization [Details]
  • ESANN 2017 - A Robust Minimal Learning Machine based on the M-Estimator [Details]
Alex Freitas
  • ESANN 2020 - Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis [Details]
Alex Freitas
  • ESANN 2015 - A new genetic algorithm for multi-label correlation-based feature selection [Details]
Erik Jhones Freitas do Nascimento
  • ESANN 2021 - Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions [Details]
Benoît Frénay
  • ESANN 2008 - QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games [Details]
  • ESANN 2009 - Improving the transition modelling in hidden Markov models for ECG segmentation [Details]
  • ESANN 2010 - Using SVMs with randomised feature spaces: an extreme learning approach [Details]
  • ESANN 2012 - On the Potential Inadequacy of Mutual Information for Feature Selection [Details]
  • ESANN 2013 - Risk Estimation and Feature Selection [Details]
  • ESANN 2014 - A comprehensive introduction to label noise [Details]
  • ESANN 2015 - Survival Analysis with Cox Regression and Random Non-linear Projections [Details]
  • ESANN 2016 - Information visualisation and machine learning: characteristics, convergence and perspective [Details]
  • ESANN 2016 - Interpretability of machine learning models and representations: an introduction [Details]
  • ESANN 2018 - Finding the most interpretable MDS rotation for sparse linear models based on external features [Details]
  • ESANN 2018 - Information visualisation and machine learning: latest trends towards convergence [Details]
  • ESANN 2018 - clustering with decision trees: divisive and agglomerative approach [Details]
  • ESANN 2019 - User-steering interpretable visualization with probabilistic principal components analysis [Details]
Benoit Frénay
  • ESANN 2020 - Explaining t-SNE Embeddings Locally by Adapting LIME [Details]
  • ESANN 2021 - Boundary-Based Fairness Constraints in Decision Trees and Random Forests [Details]
  • ESANN 2022 - Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization [Details]
  • ESANN 2023 - A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs [Details]
  • ESANN 2023 - FairBayRank: A Fair Personalized Bayesian Ranker [Details]
  • ESANN 2023 - Trends and Challenges for Sign Language Recognition with Machine Learning [Details]
  • ESANN 2024 - ChatDT: Simplifying Constraint Integration in Decision Trees [Details]
  • ESANN 2024 - Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes [Details]
  • ESANN 2024 - From Three to Two Dimensions: 2D Quaternion Convolutions for 3D Images [Details]
  • ESANN 2024 - Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation [Details]
  • ESANN 2024 - Leveraging endoscopic data with Contrastive Learning for Crohn’s disease detection [Details]
  • ESANN 2024 - Trust in Artificial Intelligence: Beyond Interpretability [Details]
Emmanuelle Frenoux
  • ESANN 2011 - Visual place recognition using Bayesian filtering with Markov chains [Details]
Alexander Freytag
  • ESANN 2016 - Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition [Details]
Hervé Frezza-Buet
  • ESANN 2020 - Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrols [Details]
  • ESANN 2022 - Graph-Induced Geodesics Approximation for Non-Euclidian K-Means [Details]
H. Frezza-Buet
  • ESANN 1999 - Specialization with cortical models: An application to causality learning [Details]
Hervé Frezza-Buet
  • ESANN 2007 - Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking [Details]
  • ESANN 2009 - Reconciling neural fields to self-organization [Details]
  • ESANN 2010 - Online speaker diarization with a size-monitored growing neural gas algorithm [Details]
  • ESANN 2014 - Towards an effective multi-map self organizing recurrent neuronal network [Details]
Gabriel Fricout
  • ESANN 2009 - Kernelizing Vector Quantization Algorithms [Details]
Magda Friedjungová
  • ESANN 2020 - Unsupervised Latent Space Translation Network [Details]
Jan Friedland
  • ESANN 2008 - Learning to play Tetris applying reinforcement learning methods [Details]
Tobias Friedrich
  • ESANN 2024 - Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange [Details]
F. Friedrich
  • ESANN 2000 - A neuro-fuzzy approach as medical diagnostic interface [Details]
Frauke Friedrichs
  • ESANN 2004 - Evolutionary tuning of multiple SVM parameters [Details]