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
Johan Suykens
  • ESANN 2007 - Convex optimization for the design of learning machines [Details]
  • ESANN 2008 - Survival SVM: a practical scalable algorithm [Details]
  • ESANN 2009 - Transductively Learning from Positive Examples Only [Details]
  • ESANN 2010 - Highly sparse kernel spectral clustering with predictive out-of-sample extensions [Details]
  • ESANN 2010 - On the use of a clinical kernel in survival analysis [Details]
  • ESANN 2012 - Interval coded scoring systems for survival analysis [Details]
  • ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
  • ESANN 2015 - Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering [Details]
  • ESANN 2018 - Generative Kernel PCA [Details]
  • ESANN 2018 - Shallow and Deep Models for Domain Adaptation problems [Details]
Markus Svensén
  • ESANN 2004 - Robust Bayesian Mixture Modelling [Details]
Phillip Swazinna
  • ESANN 2021 - Behavior Constraining in Weight Space for Offline Reinforcement Learning [Details]
  • ESANN 2023 - Automatic Trade-off Adaptation in Offline RL [Details]
Kevin Swingler
  • ESANN 2013 - Mixed order associative networks for function approximation, optimisation and sampling [Details]
K. Swingler
  • ESANN 1993 - The filtered associative network [Details]
P. Sykacek
  • ESANN 1997 - Equivalent error bars for neural network classifiers trained by Bayesian inference [Details]
Thiria Sylvie
  • ESANN 2012 - Image reconstruction using an iterative SOM based algorithm [Details]
Marie Szafranski
  • ESANN 2023 - Mixture of stochastic block models for multiview clustering [Details]
Sandor Szedmak
  • ESANN 2006 - Synthesis of maximum margin and multiview learning using unlabeled data [Details]
  • ESANN 2007 - A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning [Details]
  • ESANN 2014 - Joint SVM for Accurate and Fast Image Tagging [Details]
  • ESANN 2015 - Learning missing edges via kernels in partially-known graphs [Details]
MARIO SZNAIER
  • ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]
MARIO SZNAIER
  • No papers found
Michal Szulc
  • ESANN 2012 - Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA [Details]
Boleslaw Szymanski
  • ESANN 2005 - unsupervised fuzzy ensembles and their use in intrusion detection [Details]
  • ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]