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Tom Vander Aa

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Thomas J. Ashby

> Home > Persons > Tom Vander Aa

Publications

2022
[i7]
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  - journals/corr/abs-2210-10386
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  - https://dblp.org/rec/journals/corr/abs-2210-10386
Tom Vander Aa, Tom Haber, Thomas J. Ashby, Roel Wuyts, Wilfried Verachtert:
Virtual Screening on FPGA: Performance and Energy versus Effort. CoRR abs/2210.10386 (2022)
2020
[j11]
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  - journals/jcheminf/SturmMVCCWDJVBC20
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  - https://dblp.org/rec/journals/jcheminf/SturmMVCCWDJVBC20
Noé Sturm, Andreas Mayr, Thanh Le Van, Vladimir I. Chupakhin, Hugo Ceulemans, Jörg K. Wegner, José Felipe Golib Dzib, Nina Jeliazkova, Yves Vandriessche, Stanislav Böhm, Vojtech Cima, Jan Martinovic, Nigel Greene, Tom Vander Aa, Thomas J. Ashby, Sepp Hochreiter, Ola Engkvist, Günter Klambauer, Hongming Chen:
Industry-scale application and evaluation of deep learning for drug target prediction. J. Cheminformatics 12(1): 26 (2020)
[i6]
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  - journals/corr/abs-2001-03000
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Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR abs/2001.03000 (2020)
2019
[j10]
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  - journals/ida/ChakrounAA19
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Imen Chakroun, Tom Vander Aa, Tom Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. Intell. Data Anal. 23(5): 1003-1020 (2019)
[c35]
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  - conf/aicas/AaCA19
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Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS 2019: 304-308
[c34]
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  - conf/bnaic/AaAW19
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Tom Vander Aa, Tom Ashby, Roel Wuyts:
Virtual Screening on FPGA. BNAIC/BENELEARN 2019
[c33]
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  - conf/bnaic/AaCASAMVDWCCWV19
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Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019
[i4]
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  - journals/corr/abs-1904-02514
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Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR abs/1904.02514 (2019)
[i3]
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  - journals/corr/abs-1904-11203
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Imen Chakroun, Tom Vander Aa, Tom Ashby:
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. CoRR abs/1904.11203 (2019)
2018
[c32]
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  - conf/esann/ChakrounAA18
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Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Cache-efficient Gradient Descent Algorithm. ESANN 2018
[c31]
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  - conf/hipeac/CimaBMDJAAC18
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Vojtech Cima, Stanislav Böhm, Jan Martinovic, Jiri Dvorský, Katerina Janurová, Tom Vander Aa, Thomas J. Ashby, Vladimir I. Chupakhin:
HyperLoom: A Platform for Defining and Executing Scientific Pipelines in Distributed Environments. PARMA-DITAM@HiPEAC 2018: 1-6
[c30]
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  - conf/ieeehpcs/ChakrounAA18
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Imen Chakroun, Tom Vander Aa, Tom Ashby:
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). HPCS 2018: 1066-1067

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