Mario Boley

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Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Michael KampInstitute for AI in Medicine (IKIM) at UK Essen and Ruhr-University BochumVerified email at uk-essen.de
Matthias SchefflerDirector of NOMAD Laboratory at FHI of Max-Planck-GesellschaftVerified email at fhi-berlin.mpg.de
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Luca M. GhiringhelliProfessor for Data-based Materials Modeling @ FAU, dept. of Materials Science and EngineeringVerified email at fau.de
Bryan R. GoldsmithAssociate Professor of Chemical Engineering at University of Michigan, Ann ArborVerified email at umich.edu
Panagiotis MandrosDepartment of Biostatistics @ HarvardVerified email at hsph.harvard.edu
Christopher SuttonUniversity of South CarolinaVerified email at mailbox.sc.edu
Sandy MoensUniversity of AntwerpVerified email at ua.ac.be
Levin KuhlmannAssociate Professor in Data Science, AI and Digital Health, Faculty of Information TechnologyVerified email at monash.edu
Axel PoignéFraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAISVerified email at iais.fraunhofer.de
Assaf SchusterProfessor of Computer Science, TechnionVerified email at technion.ac.il
Bo KangGhent UniversityVerified email at ugent.be
Henning PetzkaPost doctoral position, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Linara AdilovaPhD student, Ruhr University BochumVerified email at ruhr-uni-bochum.de
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Eirini SpyropoulouNCSR, DemokritosVerified email at iit.demokritos.gr
Matthias RuppLuxembourg Institute of Science and Technology (LIST)Verified email at list.lu
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceVerified email at unive.it

Mario Boley

University of Haifa, Monash University

Verified email at is.haifa.ac.il - Homepage

Interpretable Machine Learning Materials Informatics Branch-and-Bound


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	149	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	143	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	122	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	117	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
Relative flatness and generalization H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley Advances in neural information processing systems 34, 18420-18432, 2021	78	2021
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	78	2013
Discovering Reliable Approximate Functional Dependencies P Mandros, M Boley, J Vreeken Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	62	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	62	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	61	2010
Non-redundant subgroup discovery using a closure system M Boley, H Grosskreutz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	57	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	36	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	34	2010
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
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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