Szymon Jaroszewicz

59 papers A* 5A 2B 4C 1Misc 1Journal 26Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Temporal ensemble of multiple patterns' instances for continuous prediction of events.
Mach. Learn.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2025 J jnl
Time-intervals-related pattern selection for continuous event prediction.
Pattern Recognit.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024 J jnl
Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data.
CoRR
Krzysztof Rudas, Szymon Jaroszewicz
2024 A conf
Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data.
SDM
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024 J jnl
Event prediction by estimating continuously the completion of a single temporal pattern's instances.
J. Biomed. Informatics
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2024 J jnl
Variable screening for Lasso based on multidimensional indexing.
Data Min. Knowl. Discov.
Barbara Zogala-Siudem, Szymon Jaroszewicz
2023 J jnl
Continuous prediction of a time intervals-related pattern's completion.
Knowl. Inf. Syst.
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2023 — conf
Continuously Predicting the Completion of a Time Intervals Related Pattern.
PAKDD (1)
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — conf
Regularization for Uplift Regression.
ECML/PKDD (1)
Krzysztof Rudas, Szymon Jaroszewicz
2023 J jnl
Shrinkage Estimators for the Intercept in Linear and Uplift Regression.
Sci. Ann. Comput. Sci.
Szymon Jaroszewicz, Krzysztof Rudas
2021 J jnl
Fast stepwise regression based on multidimensional indexes.
Inf. Sci.
Barbara Zogala-Siudem, Szymon Jaroszewicz
2020 J jnl
Response transformation and profit decomposition for revenue uplift modeling.
Eur. J. Oper. Res.
Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
2019 J jnl
Response Transformation and Profit Decomposition for Revenue Uplift Modeling.
CoRR
Robin Marco Gubela, Stefan Lessmann, Szymon Jaroszewicz
2019 — conf
Shrinkage Estimators for Uplift Regression.
ECML/PKDD (1)
Krzysztof Rudas, Szymon Jaroszewicz
2018 J jnl
Boosting algorithms for uplift modeling.
CoRR
Michal Soltys, Szymon Jaroszewicz
2018 J jnl
Linear regression for uplift modeling.
Data Min. Knowl. Discov.
Krzysztof Rudas, Szymon Jaroszewicz
2018 J jnl
Surgical teams on GitHub: Modeling performance of GitHub project development processes.
Inf. Softw. Technol.
Oskar Jarczyk, Szymon Jaroszewicz, Adam Wierzbicki, Kamil Pawlak, Michal Jankowski-Lorek
2017 J jnl
$$L_p$$ L p -Support vector machines for uplift modeling.
Knowl. Inf. Syst.
Lukasz Zaniewicz, Szymon Jaroszewicz
2017 — ch.
Uplift Modeling.
Encyclopedia of Machine Learning and Data Mining
Szymon Jaroszewicz
2016 — ch.
Székely Regularization for Uplift Modeling.
Challenges in Computational Statistics and Data Mining
Szymon Jaroszewicz, Lukasz Zaniewicz
2016 J jnl
Verifying social network models of Wikipedia knowledge community.
Inf. Sci.
Michal Jankowski-Lorek, Szymon Jaroszewicz, Lukasz Ostrowski, Adam Wierzbicki
2015 J jnl
Ensemble methods for uplift modeling.
Data Min. Knowl. Discov.
Michal Soltys, Szymon Jaroszewicz, Piotr Rzepakowski
2014 — conf
Fast Stepwise Regression on Linked Data.
LD4KD
Barbara Zogala-Siudem, Szymon Jaroszewicz
2014 — conf
GitHub Projects. Quality Analysis of Open-Source Software.
SocInfo
Oskar Jarczyk, Blazej Gruszka, Szymon Jaroszewicz, Leszek Bukowski, Adam Wierzbicki
2013 J jnl
Logistic regression with weight grouping priors.
Comput. Stat. Data Anal.
Marcin Korzen, Szymon Jaroszewicz, Przemyslaw Klesk
2013 — conf
Support Vector Machines for Uplift Modeling.
ICDM Workshops
Lukasz Zaniewicz, Szymon Jaroszewicz
2013 — conf
What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis.
SocInfo Workshops
Leszek Bukowski, Michal Jankowski-Lorek, Szymon Jaroszewicz, Marcin Sydow
2012 J jnl
Arithmetic Operations on Independent Random Variables: A Numerical Approach.
SIAM J. Sci. Comput.
Szymon Jaroszewicz, Marcin Korzen
2012 J jnl
Decision trees for uplift modeling with single and multiple treatments.
Knowl. Inf. Syst.
Piotr Rzepakowski, Szymon Jaroszewicz
2010 A* conf
Decision Trees for Uplift Modeling.
ICDM
Piotr Rzepakowski, Szymon Jaroszewicz
2010 J jnl
Using interesting sequences to interactively build Hidden Markov Models.
Data Min. Knowl. Discov.
Szymon Jaroszewicz
2009 J jnl
Scalable pattern mining with Bayesian networks as background knowledge.
Data Min. Knowl. Discov.
Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici
2008 B conf
Minimum Variance Associations - Discovering Relationships in Numerical Data.
PAKDD
Szymon Jaroszewicz
2008 J jnl
Schema matching on streams with accuracy guarantees.
Intell. Data Anal.
Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer
2007 A conf
Approximating Representations for Large Numerical Databases.
SDM
Szymon Jaroszewicz, Marcin Korzen
2007 — conf
Efficient AUC Optimization for Classification.
PKDD
Toon Calders, Szymon Jaroszewicz
2006 J jnl
A new metric splitting criterion for decision trees.
Int. J. Parallel Emergent Distributed Syst.
Dan A. Simovici, Szymon Jaroszewicz
2006 Misc conf
Comparison of Information Theoretical Measures for Reduct Finding.
ICAISC
Szymon Jaroszewicz, Marcin Korzen
2006 B conf
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees.
PAKDD
Dan A. Simovici, Szymon Jaroszewicz
2006 A* conf
Mining rank-correlated sets of numerical attributes.
KDD
Toon Calders, Bart Goethals, Szymon Jaroszewicz
2006 A* conf
Polynomial association rules with applications to logistic regression.
KDD
Szymon Jaroszewicz
2005 A* conf
Fast discovery of unexpected patterns in data, relative to a Bayesian network.
KDD
Szymon Jaroszewicz, Tobias Scheffer
2005 C conf
Finding Reducts Without Building the Discernibility Matrix.
ISDA
Marcin Korzen, Szymon Jaroszewicz
2004 B conf
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index.
PAKDD
Dan A. Simovici, Szymon Jaroszewicz
2004 A* conf
Interestingness of frequent itemsets using Bayesian networks as background knowledge.
KDD
Szymon Jaroszewicz, Dan A. Simovici
2004 J jnl
Measures on Boolean polynomials and their applications in data mining.
Discret. Appl. Math.
Szymon Jaroszewicz, Dan A. Simovici, Ivo G. Rosenberg
2004 J jnl
The Goodman-Kruskal coefficient and its applications in genetic diagnosis of cancer.
IEEE Trans. Biomed. Eng.
Szymon Jaroszewicz, Dan A. Simovici, Winston Patrick Kuo, Lucila Ohno-Machado
2003 — conf
Generalized Conditional Entropy and Decision Trees.
EGC
Dan A. Simovici, Szymon Jaroszewicz
2002 J jnl
An axiomatization of partition entropy.
IEEE Trans. Inf. Theory
Dan A. Simovici, Szymon Jaroszewicz
2002 — conf
On Functions Defined on Free Boolean Algebras.
ISMVL
Ivo G. Rosenberg, Dan A. Simovici, Szymon Jaroszewicz
2002 B conf
Pruning Redundant Association Rules Using Maximum Entropy Principle.
PAKDD
Szymon Jaroszewicz, Dan A. Simovici
2002 — conf
Support Approximations Using Bonferroni-Type Inequalities.
PKDD
Szymon Jaroszewicz, Dan A. Simovici
2001 — conf
A General Measure of Rule Interestingness.
PKDD
Szymon Jaroszewicz, Dan A. Simovici
2001 — conf
An Axiomatization of Generalized Entropy of Partitions.
ISMVL
Dan A. Simovici, Szymon Jaroszewicz
2000 — conf
Data Mining of Weak Functional Decompositions.
ISMVL
Szymon Jaroszewicz, Dan A. Simovici
2000 — ch.
On Information-Theoretical Aspects of Relational Databases.
Finite Versus Infinite
Dan A. Simovici, Szymon Jaroszewicz
1999 — conf
On Axiomatization of Conditional Entropy of Functions Between Finite Sets.
ISMVL
Szymon Jaroszewicz, Dan A. Simovici