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
Madalina Drugan
  • ESANN 2014 - Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem [Details]
  • ESANN 2015 - Bernoulli bandits: an empirical comparison [Details]
  • ESANN 2015 - Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors [Details]
Georges Adrian Drumea
  • ESANN 2007 - Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking [Details]
Linda Drupsteen
  • ESANN 2015 - Enhancing learning at work. How to combine theoretical and data-driven approaches, and multiple levels of data? [Details]
Manxing Du
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
  • ESANN 2019 - time series modelling of market price in real-time bidding [Details]
Julio Cesar Duarte
  • ESANN 2009 - Improving BAS committee performance with a semi-supervised approach [Details]
Davi Duarte de Paula
  • ESANN 2024 - Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning [Details]
Mathieu Dubois
  • ESANN 2011 - Visual place recognition using Bayesian filtering with Markov chains [Details]
O. Dubois
  • ESANN 1999 - On the invertibility of the RBF model in a predictive control strategy [Details]
Rémi Dubois
  • ESANN 2026 - mDAE: modified Denoising AutoEncoder for missing data imputation [Details]
W. Duch
  • ESANN 1996 - On global self-organizing maps [Details]
  • ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]
  • ESANN 2001 - Constructive density estimation network based on several different separable transfer functions [Details]
  • ESANN 2001 - Optimal transfer function neural networks [Details]
  • ESANN 2001 - Transfer functions: hidden possibilities for better neural networks [Details]
Axel Duché
  • ESANN 2026 - See Without Decoding: Motion-Vector-Based Tracking in Compressed Video [Details]
Laurine Duchesne
  • ESANN 2021 - Supervised learning of convex piecewise linear approximations of optimization problems [Details]
Daniel Duclos
  • ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
Melanie Ducoffe
  • ESANN 2017 - Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee [Details]
Charlotte Ducuing
  • ESANN 2019 - Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? [Details]
Pete Duell
  • ESANN 2006 - Diversity creation in local search for the evolution of neural network ensembles [Details]
Siegmund Duell
  • ESANN 2010 - The Markov Decision Process Extraction Network [Details]
  • ESANN 2012 - Recurrent Neural State Estimation in Domains with Long-Term Dependencies [Details]
  • ESANN 2013 - Ensembles for Continuous Actions in Reinforcement Learning [Details]
R. Duin
  • ESANN 1999 - Data domain description using support vectors [Details]
Haris Dukic
  • ESANN 2021 - Inductive learning for product assortment graph completion [Details]
Siegmund Düll
  • ESANN 2014 - Exploiting similarity in system identification tasks with recurrent neural networks [Details]
Bruno Dumas
  • ESANN 2016 - Information visualisation and machine learning: characteristics, convergence and perspective [Details]
  • ESANN 2018 - Information visualisation and machine learning: latest trends towards convergence [Details]
Bruno Dumas
  • 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 2025 - Mask-Aware Cropping: Mitigating Mask Imbalance in Segmentation Tasks [Details]
Benjamin Dumont
  • ESANN 2014 - Predicting Grain Protein Content of Winter Wheat [Details]
Michel Dumontier
  • ESANN 2023 - Graph-based Categorical Embedding [Details]
Vedran Dunjko
  • ESANN 2016 - Enhanced learning for agents in quantum-accessible environments [Details]
Ngoc Q. K. Duong
  • ESANN 2022 - Feature Compression Using Dynamic Switches in Multi-split CNNs [Details]
Ngoc Q. K. Duong
  • No papers found
Pierre Dupont
  • ESANN 2012 - The stability of feature selection and class prediction from ensemble tree classifiers [Details]
  • ESANN 2014 - Kernel methods for mixed feature selection [Details]
  • ESANN 2015 - Survival Analysis with Cox Regression and Random Non-linear Projections [Details]
Pierre Dupont
  • ESANN 2020 - Joint optimization of predictive performance and selection stability [Details]
Stéphane Dupont
  • ESANN 2024 - Influence of image encoders and image features transformations in emergent communication [Details]
  • ESANN 2025 - Comparing Modern LLM Quantization Methods Across Natural Languages [Details]
  • ESANN 2026 - LLM-based Vulnerable Code Augmentation: Generate or Refactor? [Details]