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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
Huang Di
  • No papers found
Barbara Di Camillo
  • ESANN 2012 - Discriminant functional gene groups identification with machine learning and prior knowledge [Details]
  • ESANN 2019 - Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients [Details]
E.D. Di Claudio
  • ESANN 2000 - Discriminative learning for neural decision feedback equalizers [Details]
Alfonso Di Costanzo
  • ESANN 2022 - Classification of preclinical markers in Alzheimer's disease via WiSARD classifier [Details]
Alfonso Di Costanzo
  • No papers found
Fabio Di Francesco
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
Davide Di Giusto
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
Ernesto Di Iorio
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
Antonio Di Mauro
  • ESANN 2023 - Communication-Efficient Ridge Regression in Federated Echo State Networks [Details]
Moussa Diaf
  • ESANN 2025 - Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier [Details]
Y.-C. Diao
  • ESANN 1995 - Spatial summation in simple cells: computational and experimental results [Details]
Jorge Dias
  • ESANN 2009 - Multiclass brain computer interface based on visual attention [Details]
Charles-Emmanuel Dias
  • ESANN 2018 - Regularize and explicit collaborative filtering with textual 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]
Carlos Dias Maia
  • ESANN 2026 - Hierarchical Multi-Scale Deep Neural Network for Schizophrenia Detection in Neuroimaging [Details]
Letícia Dias Verona
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [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]
A.F. Diaz
  • ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [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]

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