Szymon Jaroszewicz

Orcid: 0000-0001-9327-5019

According to our database1, Szymon Jaroszewicz authored at least 53 papers between 1999 and 2024.

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Bibliography

2024
Variable screening for Lasso based on multidimensional indexing.
Data Min. Knowl. Discov., January, 2024

Event prediction by estimating continuously the completion of a single temporal pattern's instances.
J. Biomed. Informatics, 2024

Early Multiple Temporal Patterns Based Event Prediction in Heterogeneous Multivariate Temporal Data.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

2023
Continuous prediction of a time intervals-related pattern's completion.
Knowl. Inf. Syst., November, 2023

Shrinkage Estimators for the Intercept in Linear and Uplift Regression.
Sci. Ann. Comput. Sci., 2023

Regularization for Uplift Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Continuously Predicting the Completion of a Time Intervals Related Pattern.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2021
Fast stepwise regression based on multidimensional indexes.
Inf. Sci., 2021

2020
Response transformation and profit decomposition for revenue uplift modeling.
Eur. J. Oper. Res., 2020

2019
Shrinkage Estimators for Uplift Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Surgical teams on GitHub: Modeling performance of GitHub project development processes.
Inf. Softw. Technol., 2018

Linear regression for uplift modeling.
Data Min. Knowl. Discov., 2018

Boosting algorithms for uplift modeling.
CoRR, 2018

2017
Uplift Modeling.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

$$L_p$$ L p -Support vector machines for uplift modeling.
Knowl. Inf. Syst., 2017

2016
Székely Regularization for Uplift Modeling.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

Verifying social network models of Wikipedia knowledge community.
Inf. Sci., 2016

2015
Ensemble methods for uplift modeling.
Data Min. Knowl. Discov., 2015

2014
GitHub Projects. Quality Analysis of Open-Source Software.
Proceedings of the Social Informatics, 2014

Fast Stepwise Regression on Linked Data.
Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), 2014

2013
Logistic regression with weight grouping priors.
Comput. Stat. Data Anal., 2013

What Makes a Good Team of Wikipedia Editors? A Preliminary Statistical Analysis.
Proceedings of the Social Informatics, 2013

Support Vector Machines for Uplift Modeling.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Arithmetic Operations on Independent Random Variables: A Numerical Approach.
SIAM J. Sci. Comput., 2012

Decision trees for uplift modeling with single and multiple treatments.
Knowl. Inf. Syst., 2012

2010
Using interesting sequences to interactively build Hidden Markov Models.
Data Min. Knowl. Discov., 2010

Decision Trees for Uplift Modeling.
Proceedings of the ICDM 2010, 2010

2009
Scalable pattern mining with Bayesian networks as background knowledge.
Data Min. Knowl. Discov., 2009

2008
Schema matching on streams with accuracy guarantees.
Intell. Data Anal., 2008

Minimum Variance Associations - Discovering Relationships in Numerical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007
Approximating Representations for Large Numerical Databases.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Efficient AUC Optimization for Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2006
A new metric splitting criterion for decision trees.
Int. J. Parallel Emergent Distributed Syst., 2006

Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Polynomial association rules with applications to logistic regression.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Mining rank-correlated sets of numerical attributes.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Comparison of Information Theoretical Measures for Reduct Finding.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Fast discovery of unexpected patterns in data, relative to a Bayesian network.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Finding Reducts Without Building the Discernibility Matrix.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005

2004
The Goodman-Kruskal coefficient and its applications in genetic diagnosis of cancer.
IEEE Trans. Biomed. Eng., 2004

Measures on Boolean polynomials and their applications in data mining.
Discret. Appl. Math., 2004

A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Interestingness of frequent itemsets using Bayesian networks as background knowledge.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Generalized Conditional Entropy and Decision Trees.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

2002
An axiomatization of partition entropy.
IEEE Trans. Inf. Theory, 2002

Support Approximations Using Bonferroni-Type Inequalities.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Pruning Redundant Association Rules Using Maximum Entropy Principle.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

On Functions Defined on Free Boolean Algebras.
Proceedings of the 32nd IEEE International Symposium on Multiple-Valued Logic (ISMVL 2002), 2002

2001
A General Measure of Rule Interestingness.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

An Axiomatization of Generalized Entropy of Partitions.
Proceedings of the 31st IEEE International Symposium on Multiple-Valued Logic, 2001

2000
Data Mining of Weak Functional Decompositions.
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000

On Information-Theoretical Aspects of Relational Databases.
Proceedings of the Finite Versus Infinite, 2000

1999
On Axiomatization of Conditional Entropy of Functions Between Finite Sets.
Proceedings of the 29th IEEE International Symposium on Multiple-Valued Logic, 1999


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