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
Charles-Emmanuel Dias
  • ESANN 2018 - Regularize and explicit collaborative filtering with textual attention [Details]
Jorge Dias
  • ESANN 2009 - Multiclass brain computer interface based on visual attention [Details]
Madson Dias
  • ESANN 2018 - Opposite neighborhood: a new method to select reference points of minimal learning machines [Details]
  • ESANN 2019 - Sparse minimal learning machine using a diversity measure minimization [Details]
Kaushala Dias
  • ESANN 2014 - Dynamic ensemble selection and instantaneous pruning for regression [Details]
  • ESANN 2015 - Ensemble Learning with Dynamic Ordered Pruning for Regression [Details]
José Miguel Sales Dias
  • ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
Letícia Dias Verona
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
A.F. Diaz
  • ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [Details]
David Díaz
  • ESANN 2014 - Sparse one hidden layer MLPs [Details]
Ignacio Díaz
  • ESANN 2013 - Sensitivity to parameter and data variations in dimensionality reduction techniques [Details]
  • ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
Ignacio Diaz-Blanco
  • ESANN 2014 - Interactive dimensionality reduction for visual analytics [Details]
  • ESANN 2016 - A state-space model on interactive dimensionality reduction [Details]
  • ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
Ignacio Diaz-Blanco
  • ESANN 2022 - Interactive dual projections for gene expression analysis [Details]
  • ESANN 2022 - Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave [Details]
  • ESANN 2024 - Analysis of DNA methylation patterns in cancer samples using SOM [Details]
  • ESANN 2024 - Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings [Details]
  • ESANN 2024 - Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics [Details]
  • ESANN 2025 - Improving Robustness of Defect Detection models using Adversarial-based Data Augmentation [Details]
Ignacio Diaz-Blanco
  • No papers found
Robert DiBiano
  • ESANN 2015 - Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets [Details]
Sander Dieleman
  • ESANN 2016 - Spatial Chirp-Z Transformer Networks [Details]
M. Diepenhorst
  • ESANN 1995 - Cascade learning for FIR-TDNNs [Details]
Klaus Diepold
  • No papers found
Klaus Diepold
  • ESANN 2022 - Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices [Details]
Andor Diera
  • ESANN 2025 - Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search [Details]
G.H.F. Diercksen
  • ESANN 2001 - Constructive density estimation network based on several different separable transfer functions [Details]
Tom Diethe
  • ESANN 2016 - Active transfer learning for activity recognition [Details]
  • ESANN 2018 - Anomaly detection in star light curves using hierarchical Gaussian processes [Details]
Klaas Dijkstra
  • ESANN 2013 - Prior knowledge in an end-user trainable machine vision framework [Details]
  • ESANN 2017 - Hyper-spectral frequency selection for the classification of vegetation diseases [Details]
Manuel Dileo
  • ESANN 2024 - Link prediction heuristics for temporal graph benchmark [Details]
  • ESANN 2025 - Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers [Details]
  • ESANN 2025 - Network Science Meets AI: A Converging Frontier [Details]
M. Diligenti
  • ESANN 2001 - Searching the Web: learning based techniques [Details]
  • ESANN 2003 - An introduction to learning in web domains [Details]
Mohamed Djallel DILMI
  • ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
Solohaja-Faniaha Dimby
  • ESANN 2012 - Quantile regression with multilayer perceptrons. [Details]
Christos Dimitrakakis
  • ESANN 2020 - Epistemic Risk-Sensitive Reinforcement Learning [Details]
Giovanna Maria Dimitri
  • No papers found
Nowicki Dimitri
  • ESANN 2005 - Averaging on Riemannian manifolds and unsupervised learning using neural associative memory [Details]
Giovanna Maria Dimitri
  • ESANN 2022 - Deep Learning Approaches for mice glomeruli segmentation [Details]
  • ESANN 2022 - Deep Semantic Segmentation Models in Computer Vision [Details]
  • ESANN 2022 - Detection and Localization of GAN Manipulated Multi-spectral Satellite Images [Details]
  • ESANN 2025 - Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods [Details]
  • ESANN 2025 - Introducing Intrinsic Motivation in Elastic Decision Transformers [Details]
Valentina Dini
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]