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
Alberto Lavelli
  • ESANN 2020 - Exploring the feature space of character-level embeddings [Details]
  • ESANN 2020 - Language processing in the era of deep learning [Details]
Piia Lavikainen
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
V. Lavin
  • ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
Michael Lawrence
  • ESANN 2005 - A multi-modular associator network for simple temporal sequence learning and generation [Details]
V. Laxmi
  • ESANN 2002 - Biologically-inspired human motion detection [Details]
Yannik Layer
  • No papers found
Yannik Layer
  • ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
Andreea Lazar
  • ESANN 2006 - The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks [Details]
Corneliu Lazar
  • ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
A. Lazarevic
  • ESANN 2000 - Distributed clustering and local regression for knowledge discovery in multiple spatial databases [Details]
Beatrice Lazzerini
  • ESANN 2025 - Explainable ensemble learning for structural damage prediction under seismic events [Details]
Beatrice Lazzerini
  • ESANN 2004 - Neural network-based calibration of positron emission tomograph detector modules [Details]
  • ESANN 2017 - Physical activity recognition from sub-bandage sensors using both feature selection and extraction [Details]
I. Lazzizzera
  • ESANN 1999 - Storage capacity and dynamics of nonmonotonic networks [Details]
Thi Khanh Hien Le
  • ESANN 2023 - Anomaly detection in irregular image sequences for concentrated solar power plants [Details]
Hoai-Phong Le
  • ESANN 2025 - Project-Specific Code Summarization with Meta-Learning and Explainability Techniques [Details]
Bac Le
  • ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
  • ESANN 2024 - Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms [Details]
  • ESANN 2025 - Project-Specific Code Summarization with Meta-Learning and Explainability Techniques [Details]
Thanh Le
  • ESANN 2023 - FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer [Details]
  • ESANN 2024 - Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms [Details]
  • ESANN 2024 - T-WinG: Windowing for Temporal Knowledge Graph Completion [Details]
Trung Le
  • ESANN 2016 - Fast Support Vector Clustering [Details]
Hoang-Thai Le
  • ESANN 2016 - Fast Support Vector Clustering [Details]
Guillaume Le Berre
  • ESANN 2020 - Seq-to-NSeq model for multi-summary generation [Details]
Hélène Le Cadre
  • ESANN 2015 - Solar PV Power Forecasting Using Extreme Learning Machine and Information Fusion [Details]
Hoel Le Capitaine
  • ESANN 2015 - On the equivalence between regularized NMF and similarity-augmented graph partitioning [Details]
  • ESANN 2019 - Metric learning with relational data [Details]
  • ESANN 2019 - Metric learning with submodular functions [Details]
Louis LE COEUR
  • ESANN 2023 - Energy-efficient detection of a spike sequence [Details]
Bénédicte Le Grand
  • ESANN 2015 - Reducing offline evaluation bias of collaborative filtering [Details]
  • ESANN 2015 - Using the Mean Absolute Percentage Error for Regression Models [Details]
Sergio Leal
  • ESANN 2024 - Recurrent Neural Network based Counter Automata [Details]
mustapha lebbah
  • ESANN 2004 - Visualization and classification with categorical topological map [Details]
  • ESANN 2005 - Mixed Topological Map [Details]
  • ESANN 2008 - Clustering of Self-Organizing Map [Details]
  • ESANN 2012 - Automatic Group-Outlier Detection [Details]
Mustapha Lebbah
  • ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
M. Lebbah
  • ESANN 2000 - Topological map for binary data [Details]
Mustapha Lebbah
  • ESANN 2023 - TabSRA: An Attention based Self-Explainable Model for Tabular Learning [Details]
  • ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
  • ESANN 2024 - HDBSCAN for 3-rd order tensor [Details]
  • ESANN 2024 - Lightweight Cross-Modal Representation Learning [Details]
  • ESANN 2025 - Performance monitoring and wear comprehension through Neural Network [Details]
Y. Leblebici
  • ESANN 2003 - VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications [Details]