J. Lemeire

发表

Causal Models as Minimal Descriptions of Multivariate Systems

J. Lemeire, E. Dirkx, 2006 .

Replacing Causal Faithfulness with Algorithmic Independence of Conditionals

Jan Lemeire, Dominik Janzing, D. Janzing, 2013, Minds and Machines.

Information-geometric approach to inferring causal directions

Bernhard Schölkopf, Joris M. Mooij, Jan Lemeire, 2012, Artif. Intell..

Robust Independence-Based Causal Structure Learning in Absence of Adjacency Faithfulness

J. Lemeire, S. Meganck, F. Cartella, 2010 .

CAUSAL MODELS : THE MEANINGFUL INFORMATION OF PROBABILITY DISTRIBUTIONS

J. Lemeire, E. Dirkx, 2007 .

Linking property crime using offender crime scene behaviour: A comparison of methods

J. Lemeire, M. Tonkin, P. Santtila, 2019, Journal of Investigative Psychology and Offender Profiling.

Causal Models for Evaluating Combinations of Patterns in Chess

J. Lemeire, 2005 .

Causal Inference on Data Containing Deterministic Relations

J. Lemeire, S. Maes, K. Steenhaut, 2008 .

Complexity Preserving Functions

J. Lemeire, 2003 .

Causal Performance Models of Computer Systems : Definition and Learning Algorithms

J. Lemeire, 2006 .

Causal Structure Learning for Dependency Analysis of Performance Data

J. Lemeire, S. Meganck, 2005 .

Comparing the predictive accuracy of case linkage methods in serious sexual assaults

J. Lemeire, A. Mokros, S. Meganck, 2013 .

Replacing Causal Faithfulness with Algorithmic Independence of Conditionals

D. Janzing, J. Lemeire, 2013, Minds and Machines.

Scalable texture compression using the wavelet transform

Adrian Munteanu, Jan Lemeire, Bob Andries, 2017, The Visual Computer.

Optimized wavelet-based texture representation and streaming for GPU texture mapping

Adrian Munteanu, Jan Lemeire, Bob Andries, 2015, 2015 IEEE International Conference on Consumer Electronics (ICCE).

Conditional Independencies under the Algorithmic Independence of Conditionals

Jan Lemeire, J. Lemeire, 2016, J. Mach. Learn. Res..

Educational software-as-a-service based on JupyterHub and nbgrader running on Kubernetes

J. Lemeire, An Braeken, K. Steenhaut, 2022, 2022 IEEE 9th International Conference on e-Learning in Industrial Electronics (ICELIE).

AITIA: Embedded AI Techniques for Embedded Industrial Applications

Nele Mentens, Toon Goedemé, Abdellah Touhafi, 2020, 2020 International Conference on Omni-layer Intelligent Systems (COINS).

Algorithms for discovery of multiple Markov boundaries

Constantin F. Aliferis, Jan Lemeire, Alexander R. Statnikov, 2013, J. Mach. Learn. Res..

Fibered fluorescence microscopy (FFM) of intra epidermal nerve fibers--translational marker for peripheral neuropathies in preclinical research: processing and analysis of the data

Peter Schelkens, Paul Scheunders, Steve De Backer, 2008, Optical Engineering + Applications.

Hidden Semi-Markov Models for Predictive Maintenance

Hichem Sahli, Jan Lemeire, Francesco Cartella, 2015 .

A novel MPI reduction algorithm resilient to imbalances in process arrival times

Peter Schelkens, Jan Lemeire, Petar Marendic, 2016, The Journal of Supercomputing.

Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems

Ann Nowé, Kris Steenhaut, Johan Parent, 2004, Sci. Program..

Proper initialization of Hidden Markov models for industrial applications

Jan Lemeire, Lixin Yang, Tingting Liu, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

Comparing and combining GPU and FPGA accelerators in an image processing context

Bruno da Silva, An Braeken, Abdellah Touhafi, 2013, 2013 23rd International Conference on Field programmable Logic and Applications.

Integrated routing in GMPLS-based IP/WDM networks

Didier Colle, Mario Pickavet, Ann Nowé, 2011, Photonic Network Communications.

Causal Models for Parallel Performance Analysis

Jan Lemeire, Erik Dirkx, J. Lemeire, 2004 .

A Refinement Strategy for a User-Oriented Performance Analysis

Jan Lemeire, Erik F. Dirkx, Andy Crijns, 2004, PVM/MPI.

Conservative independence-based causal structure learning in absence of adjacency faithfulness

Jan Lemeire, Francesco Cartella, Tingting Liu, 2012, Int. J. Approx. Reason..

Inferring the causal decomposition under the presence of deterministic relations

Jan Lemeire, Francesco Cartella, Tingting Liu, 2011, ESANN.

The Pipeline Performance Model: A Generic Executable Performance Model for GPUs

Jan Lemeire, Jan G. Cornelis, J. Lemeire, 2019, 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Efficient and Effective Learning of HMMs Based on Identification of Hidden States

Jan Lemeire, Tingting Liu, J. Lemeire, 2017 .

Causal analysis for performance modeling of computer programs

Jan Lemeire, Erik F. Dirkx, Frederik Verbist, 2007, Sci. Program..

Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure

Albrecht Zimmermann, Jan Lemeire, Stijn Meganck, 2013, ECSQARU.

When are graphical causal models not good models

Abdellah Touhafi, Kris Steenhaut, Jan Lemeire, 2011 .

Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions

Kris Steenhaut, Jan Lemeire, J. Lemeire, 2008, NIPS Causality: Objectives and Assessment.