Florence D'Alché-Buc

Ontology type: schema:Person     

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Publications in SciGraph latest 50 shown

  • 2018-05-17 Output Fisher embedding regression in MACHINE LEARNING
  • 2014-12-17 Operator-valued kernel-based vector autoregressive models for network inference in MACHINE LEARNING
  • 2014 Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2013-09-12 Learning a Markov Logic network for supervised gene regulatory network inference in BMC BIOINFORMATICS
  • 2013 A Multi-task Learning Approach for Compartmental Model Parameter Estimation in DCE-CT Sequences in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2013
  • 2012 Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT in ABDOMINAL IMAGING. COMPUTATIONAL AND CLINICAL APPLICATIONS
  • 2010 Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks in PATTERN RECOGNITION IN BIOINFORMATICS
  • 2008-12-17 Machine Learning in Systems Biology in BMC PROCEEDINGS
  • 2008-02-08 Evolutionary approaches for the reverse-engineering of gene regulatory networks: A study on a biologically realistic dataset in BMC BIOINFORMATICS
  • 2007-05-03 Inferring biological networks with output kernel trees in BMC BIOINFORMATICS
  • 2007 Learning Transcriptional Regulatory Networks with Evolutionary Algorithms Enhanced with Niching in APPLICATIONS OF FUZZY SETS THEORY
  • 2005 A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle in BIOINFORMATICS USING COMPUTATIONAL INTELLIGENCE PARADIGMS
  • 2003 Evaluation of Topographic Clustering and Its Kernelization in MACHINE LEARNING: ECML 2003
  • 2002-08-21 Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling in ARTIFICIAL NEURAL NETWORKS — ICANN 2002
  • 2001-08-17 Incremental Support Vector Machine Learning: A Local Approach in ARTIFICIAL NEURAL NETWORKS — ICANN 2001
  • 2001-08-17 Boosting Mixture Models for Semi-supervised Learning in ARTIFICIAL NEURAL NETWORKS — ICANN 2001
  • 1998 Automated Statistical Recognition of Partial Discharges in Insulation Systems in ICANN 98
  • 1997 Optimal linear regression on classifier outputs in ARTIFICIAL NEURAL NETWORKS — ICANN'97
  • 1997 Neural network adaptive modeling of battery discharge behavior in ARTIFICIAL NEURAL NETWORKS — ICANN'97
  • 1995-03 Asymptotic performances of a constructive algorithm in NEURAL PROCESSING LETTERS
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