Jan Lemeire

发表

Adaptive Load Balancing of Parallel Applications with Reinforcement Learning on Heterogeneous Networks

Johan Parent, Katja Verbeeck, Jan Lemeire, 2002 .

The Forward Procedure for HSMMs based on Expected Duration

Jan Lemeire, Francesco Cartella, 2016, IEEE Signal Processing Letters.

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

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

An Investigation into the Performance of Reduction Algorithms under Load Imbalance

Peter Schelkens, Jan Lemeire, Petar Marendic, 2012, Euro-Par.

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

Adrian Munteanu, Jan Lemeire, Bob Andries, 2015, ICCE.

AITIA: Embedded AI Techniques for Embedded Industrial Applications

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

The application of 'Big Data Analysis' techniques in GSR research: a novel approach to an ever evolving forensic discipline

Wilfried Philips, Jan Lemeire, Jonas De Vylder, 2015 .

Real-time texture sampling and reconstruction with wavelet filters

Peter Schelkens, Adrian Munteanu, Jan Lemeire, 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).

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).

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).

Optimized quantization of wavelet subbands for high quality real-time texture compression

Adrian Munteanu, Jan Lemeire, Bob Andries, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators

Bruno da Silva, An Braeken, Abdellah Touhafi, 2018, 2018 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech).

Modeling the Performance of Communication Schemes on Network Topologies

Jan Lemeire, Walter Colitti, Erik F. Dirkx, 2008, Parallel Process. Lett..

Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL

Peter Schelkens, Jan Lemeire, Jan G. Cornelis, 2017, Int. J. High Perform. Comput. Appl..

Integrated routing in GMPLS-based IP/WDM networks

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

A Refinement Strategy for a User-Oriented Performance Analysis

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

A Lost Cycles Analysis for Performance Prediction using High-Level Synthesis

Bruno da Silva, An Braeken, Abdellah Touhafi, 2016, ARC.

Causal analysis for performance modeling of computer programs

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

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).

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

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

Conditional Independencies under the Algorithmic Independence of Conditionals

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

Learning dynamic data models

Hichem Sahli, Bart Jansen, Jan Lemeire, 2010 .

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

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

Performance and toolchain of a combined GPU/FPGA desktop (abstract only)

Bruno da Silva, An Braeken, Abdellah Touhafi, 2013, FPGA '13.

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

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

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.

Performance and Programming Environment of a Combined GPU/FPGA Desktop

Bruno da Silva, An Braeken, Abdellah Touhafi, 2012, High Performance Computing Workshop.

Microbenchmarks for GPU Characteristics: The Occupancy Roofline and the Pipeline Model

Jan Lemeire, Laurent Segers, Jan G. Cornelis, 2016, 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP).

Information-geometric approach to inferring causal directions

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

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.

Heterogeneous Acceleration of Volumetric JPEG 2000

Peter Schelkens, Jan Lemeire, Jan G. Cornelis, 2015, 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.

Hidden Semi-Markov Models for Predictive Maintenance

Hichem Sahli, Jan Lemeire, Francesco Cartella, 2015 .

Towards a Generalised Performance Analysis of Parallel Processing

Jan Lemeire, 2003 .

When are Graphical Models not Good Models

Abdellah Touhafi, Kris Steenhaut, Jan Lemeire, 2011 .

Replacing Causal Faithfulness with Algorithmic Independence of Conditionals

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

Scalable texture compression using the wavelet transform

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

Algorithms for discovery of multiple Markov boundaries

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