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
S.H. Ng
  • ESANN 2004 - Time Series Analysis for Quality Improvement: a Soft Computing Approach [Details]
Huy Ngo
  • ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
J. Ngole
  • ESANN 1996 - A correlation-based network for real-time processing [Details]
Bac Nguyen
  • ESANN 2017 - Distance metric learning: a two-phase approach [Details]
Minh-Le Nguyen
  • ESANN 2017 - Efficient Neural-based patent document segmentation with Term Order Probabilities [Details]
Phuong-Ha Nguyen
  • ESANN 2018 - One-class Autoencoder approach to classify Raman spectra outliers [Details]
Hieu Nguyen
  • ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
Van Nguyen
  • ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
Xuan-Mao Nguyen
  • ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
Hai-Dang Nguyen
  • ESANN 2023 - Graph for Transformer Feature: A New Approach for Face Anti-Spoofing [Details]
Thanh Son Nguyen
  • ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]
Van Tuc Nguyen
  • ESANN 2013 - Cost-sensitive cascade graph neural networks [Details]
Dan Nguyen
  • ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
Ngoc-Trung Nguyen
  • ESANN 2024 - T-WinG: Windowing for Temporal Knowledge Graph Completion [Details]
Thanh Thi Nguyen
  • ESANN 2024 - Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts [Details]
Phuoc Nguyen
  • ESANN 2014 - Using Shannon Entropy as EEG Signal Feature for Fast Person Identification [Details]
Quang-Huy Nguyen
  • ESANN 2025 - Project-Specific Code Summarization with Meta-Learning and Explainability Techniques [Details]
Duy Nguyen Tuong
  • ESANN 2008 - Learning Inverse Dynamics: a Comparison [Details]
Duy Nguyen-Tuong
  • ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
  • ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
  • ESANN 2015 - Fast greedy insertion and deletion in sparse Gaussian process regression [Details]
Jie Ni
  • ESANN 2005 - Adaptive Simultaneous Perturbation Based Pruning Algorithm for Neural Control Systems [Details]
Pin Ni
  • No papers found
Pin Ni
  • ESANN 2022 - Attention-based Ingredient Phrase Parser [Details]
Barry Nichols
  • ESANN 2014 - Application of Newton's Method to action selection in continuous state- and action-space reinforcement learning [Details]
Craig Niederberger
  • ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
Clément Niel
  • ESANN 2018 - Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies [Details]
Marko Niemelä
  • ESANN 2018 - Comparison of cluster validation indices with missing data [Details]
Paavo Nieminen
  • ESANN 2021 - Instance-Based Multi-Label Classification via Multi-Target Distance Regression [Details]
  • ESANN 2021 - Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces [Details]
Paavo Nieminen
  • ESANN 2016 - Multicriteria optimized MLP for imbalanced learning [Details]
Urs Niesen
  • ESANN 2004 - Speaker verification by means of ANNs [Details]
Stefan Niewerth
  • ESANN 2020 - Adversarials-1 in Speech Recognition: Detection and Defence [Details]