Mario Boley

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	Wszystkie	Od 2019
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Jilles VreekenCISPA Helmholtz Center for Information SecurityZweryfikowany adres z cispa.de
Michael KampInstitute for AI in Medicine (IKIM) at UK Essen and Ruhr-University BochumZweryfikowany adres z uk-essen.de
Matthias SchefflerDirector of NOMAD Laboratory at FHI of Max-Planck-GesellschaftZweryfikowany adres z fhi-berlin.mpg.de
Thomas GärtnerTU Wien (Technical University of Vienna)Zweryfikowany adres z tuwien.ac.at
Stefan WrobelFraunhofer IAIS and University of BonnZweryfikowany adres z iais.fraunhofer.de
Luca M. GhiringhelliProfessor for Data-based Materials Modeling @ FAU, dept. of Materials Science and EngineeringZweryfikowany adres z fau.de
Panagiotis MandrosDepartment of Biostatistics @ HarvardZweryfikowany adres z hsph.harvard.edu
Bryan R. GoldsmithAssociate Professor of Chemical Engineering at University of Michigan, Ann ArborZweryfikowany adres z umich.edu
Christopher SuttonUniversity of South CarolinaZweryfikowany adres z mailbox.sc.edu
Sandy MoensUniversity of AntwerpZweryfikowany adres z ua.ac.be
Axel PoignéFraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAISZweryfikowany adres z iais.fraunhofer.de
Assaf SchusterProfessor of Computer Science, TechnionZweryfikowany adres z technion.ac.il
Bo KangGhent UniversityZweryfikowany adres z ugent.be
Henning PetzkaPost doctoral position, RWTH Aachen UniversityZweryfikowany adres z cs.rwth-aachen.de
Linara AdilovaPhD student, Ruhr University BochumZweryfikowany adres z ruhr-uni-bochum.de
Tijl De BieFull Professor, Ghent UniversityZweryfikowany adres z ugent.be
Eirini SpyropoulouNCSR, DemokritosZweryfikowany adres z iit.demokritos.gr
Matthias RuppLuxembourg Institute of Science and Technology (LIST)Zweryfikowany adres z list.lu
Levin KuhlmannAssociate Professor in Data Science, AI and Digital Health, Faculty of Information TechnologyZweryfikowany adres z monash.edu
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceZweryfikowany adres z unive.it

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Mario Boley

University of Haifa, Monash University

Zweryfikowany adres z is.haifa.ac.il - Strona główna

Interpretable Machine Learning Materials Informatics Branch-and-Bound


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022	137	2022
Identifying domains of applicability of machine learning models for materials science C Sutton, M Boley, LM Ghiringhelli, M Rupp, J Vreeken, M Scheffler Nature communications 11 (1), 4428, 2020	137	2020
Direct local pattern sampling by efficient two-step random procedures M Boley, C Lucchese, D Paurat, T Gärtner Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	120	2011
Uncovering structure-property relationships of materials by subgroup discovery BR Goldsmith, M Boley, J Vreeken, M Scheffler, LM Ghiringhelli New Journal of Physics 19 (1), 013031, 2017	113	2017
Listing closed sets of strongly accessible set systems with applications to data mining M Boley, T Horváth, A Poigné, S Wrobel Theoretical computer science 411 (3), 691-700, 2010	102*	2010
One click mining: interactive local pattern discovery through implicit preference and performance learning M Boley, M Mampaey, B Kang, P Tokmakov, S Wrobel Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and …, 2013	77	2013
Relative flatness and generalization H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley Advances in neural information processing systems 34, 18420-18432, 2021	75	2021
Discovering Reliable Approximate Functional Dependencies P Mandros, M Boley, J Vreeken Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	61	2017
Linear space direct pattern sampling using coupling from the past M Boley, S Moens, T Gärtner Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	61	2012
Formal concept sampling for counting and threshold-free local pattern mining M Boley, T Gärtner, H Grosskreutz, I Fraunhofer Proc. SIAM Int. Conf. on Data Mining (SDM), 177-188, 2010	59	2010
Non-redundant subgroup discovery using a closure system M Boley, H Grosskreutz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	56	2009
Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery M Boley, BR Goldsmith, LM Ghiringhelli, J Vreeken Data Mining and Knowledge Discovery 31 (5), 1391-1418, 2017	51	2017
Interesting pattern mining in multi-relational data E Spyropoulou, T De Bie, M Boley Data Mining and Knowledge Discovery 28 (3), 808-849, 2014	51	2014
Communication-efficient distributed online prediction by dynamic model synchronization M Kamp, M Boley, D Keren, A Schuster, I Sharfman Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014	46*	2014
Instant exceptional model mining using weighted controlled pattern sampling S Moens, M Boley Advances in Intelligent Data Analysis XIII: 13th International Symposium …, 2014	37	2014
Approximating the number of frequent sets in dense data M Boley, H Grosskreutz Knowledge and information systems 21 (1), 65-89, 2009	37	2009
Efficient discovery of interesting patterns based on strong closedness M Boley, T Horváth, S Wrobel Statistical Analysis and Data Mining 2 (5‐6), 346-360, 2009	34	2009
Subgroup discovery for election analysis: a case study in descriptive data mining H Grosskreutz, M Boley, M Krause-Traudes International Conference on Discovery Science, 57-71, 2010	32	2010
A randomized approach for approximating the number of frequent sets M Boley, H Grosskreutz Eighth IEEE International Conference on Data Mining, 43-52, 2008	30	2008
Privacy-preserving mobility monitoring using sketches of stationary sensor readings M Kamp, C Kopp, M Mock, M Boley, M May Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	24	2013

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