引用次数
引用: 13,152
H-指数: 36
I10-指数 : 105
出版物: 270
Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?
Arne Jaspers , Tim Op De Beéck , Michel S. Brink , Wouter G.P. Frencken
International Journal of Sports Physiology and Performance 13 ( 5) 625 -630
52
2017
Predicting Future Perceived Wellness in Professional Soccer: The Role of Preceding Load and Wellness.
Tim Op De Beéck , Arne Jaspers , Michel S. Brink , Wouter G.P. Frencken
International Journal of Sports Physiology and Performance 14 ( 8) 1074 -1080
6
2019
System and Method for Dynamically Adaptable Learning Medical Diagnosis System
Elizabeth S Burnside , Charles D Page , Jesse J Davis , Vitor Manuel de Morais Santos Costa
12
2010
Differential ratings of perceived exertion: Relationships with external intensity and load in elite men’s football
Kobe C Houtmeyers , Pieter Robberechts , Arne Jaspers , Shaun J McLaren
International journal of sports physiology and performance 17 ( 9) 1415 -1424
3
2022
Markov network structure learning: a randomized feature generation approach
Jan Van Haaren , Jesse Davis
national conference on artificial intelligence 2 1148 -1154
56
2012
Change of representation for statistical relational learning
Jesse Davis , Irene Ong , Jan Struyf , Elizabeth Burnside
international joint conference on artificial intelligence 2719 -2726
36
2007
Establishing Identity Equivalence in Multi-Relational Domains
David Page , Vitor Santos Costa , Jesse Davis , Ines Dutra
Proceedings of the International Conference on Intelligence Analysis
18
2005
Bottom-Up Learning of Markov Network Structure
Jesse Davis , Pedro Domingos
international conference on machine learning 271 -278
41
2010
Learning First-Order Horn Clauses from Web Text
Oren Etzioni , Stefan Schoenmackers , Daniel Weld , Jesse Davis
empirical methods in natural language processing 1088 -1098
265
2010
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
David Page , Peggy Peissig , Michael Caldwell , Vitor S. Costa
international conference on machine learning 2012 1323 -1330
2
2012
Lifted probabilistic inference by first-order knowledge compilation
Guy Van Den Broeck , Nima Taghipour , Wannes Meert , Jesse Davis
international joint conference on artificial intelligence 2178 -2185
208
2011
Conditioning in first-order knowledge compilation and lifted probabilistic inference
Guy Van Den Broeck , Jesse Davis
national conference on artificial intelligence 3 1961 -1967
48
2012
Tractable learning for complex probability queries
Adnan Darwiche , Guy Van den Broeck , Arthur Choi , Jesse Davis
neural information processing systems 28 2242 -2250
27
2015
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
David Page , Vitor S. Costa , Kendrick Boyd , Jesse Davis
international conference on machine learning 2012 1619 -1626
24
2012
First-order Decomposition Trees
Hendrik Blockeel , Nima Taghipour , Jesse Davis
neural information processing systems 26 ( 26) 1052 -1060
8
2013
Lifted variable elimination: decoupling the operators from the constraint language
Daan Fierens , Hendrik Blockeel , Nima Taghipour , Jesse Davis
Journal of Artificial Intelligence Research 47 ( 1) 393 -439
35
2013
Improving Markov network structure learning using decision trees
Daniel Lowd , Jesse Davis
Journal of Machine Learning Research 15 ( 1) 501 -532
27
2014
Completeness Results for Lifted Variable Elimination
Daan Fierens , Guy Van den Broeck , Hendrik Blockeel , Nima Taghipour
international conference on artificial intelligence and statistics 31 572 -580
22
2013
TODTLER: two-order-deep transfer learning
Jan Van Haaren , Andrey Kolobov , Jesse Davis
national conference on artificial intelligence 3007 -3015
29
2015
MLSA13 - Proceedings of "Machine Learning and Data Mining for Sports Analytics", workshop @ ECML/PKDD 2013
Albrecht Zimmermann , Jesse Davis ,
Department of Computer Science, KU Leuven
1
2013