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. Hosseini
  • ESANN 1998 - Improving neural network estimation in presence of non i.i.d. noise [Details]
Babak Hosseini
  • ESANN 2018 - Feasibility based Large Margin Nearest Neighbor metric learning [Details]
  • ESANN 2019 - Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series [Details]
Shahram Hosseini
  • ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
  • ESANN 2007 - Markovian blind separation of non-stationary temporally correlated sources [Details]
Lynn Houthuys
  • No papers found
Lynn Houthuys
  • ESANN 2022 - Machine learning for automated quality control in injection moulding manufacturing [Details]
Lynn Houthuys
  • ESANN 2016 - Clustering from two data sources using a kernel-based approach with weight coupling [Details]
Matthew Howard
  • ESANN 2013 - Locally Weighted Least Squares Temporal Difference Learning [Details]
  • ESANN 2017 - Learning null space projections fast [Details]
Gareth Howells
  • ESANN 2009 - FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition [Details]
  • ESANN 2009 - Novel Modular Weightless Neural Architectures for Biometrics-based Recognition [Details]
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
  • ESANN 2010 - Model Learning from Weights by Adaptive Enhanced Probabilistic Convergent Network [Details]
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
T. Hrycej
  • ESANN 1997 - Error measure for identifying chaotic attractors [Details]
T.C. Hsia
  • ESANN 1994 - Stability bounds of momentum coefficient and learning rate in backpropagation algorithm [Details]
Renjie Hu
  • ESANN 2021 - A Multi-ELM Model for Incomplete Data [Details]
  • ESANN 2024 - A Two-Stage Approach for Implicit Bias Detection in Generative Language Models [Details]
J. Hu
  • ESANN 2003 - Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks [Details]
Wen Hua
  • ESANN 2025 - Continual Contrastive Learning on Tabular Data with Out of Distribution [Details]
T.M. Huang
  • ESANN 2003 - On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines [Details]
TE-MING HUANG
  • ESANN 2004 - Bias Term b in SVMs Again [Details]
Xiaolin Huang
  • ESANN 2020 - A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning [Details]
  • ESANN 2020 - Learning from partially labeled data [Details]
D. Huang
  • ESANN 2003 - Searching optimal feature subset using mutual information [Details]
Wen Huang
  • ESANN 2015 - Rank-constrained optimization: a Riemannian manifold approach [Details]
Antoine Hubermont
  • ESANN 2023 - Simultaneous failures classification in a predictive maintenance case [Details]
Wolfgang Hübner
  • ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
Romain Huet
  • ESANN 2016 - A new penalisation term for image retrieval in clique neural networks [Details]
Margerie Huet-Dastarac
  • ESANN 2021 - Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models [Details]
  • ESANN 2023 - Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer [Details]
Karsten Huffstadt
  • ESANN 2019 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons [Details]
Ronny Hug
  • ESANN 2017 - Supporting generative models of spatial behavior by user interaction [Details]
Beverly Hughes
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Bernard Hugueney
  • ESANN 2009 - Simultaneous Clustering and Segmentation for Functional Data [Details]
J. Huhse
  • ESANN 2001 - Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction [Details]
Kalevi Huhtala
  • ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
Pablo Huijse
  • ESANN 2018 - Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders [Details]
Eyke Hüllermeier
  • ESANN 2014 - The Choquet kernel for monotone data [Details]