Barbara Żogała-Siudem, Szymon Jaroszewicz. Variable screening for Lasso based on multidimensional indexing.
Data Mining and Knowledge Discovery, 38(1), pages 49-78, 2024.
@article{lasso-index,
author = {Barbara Żogała{-}Siudem and Szymon Jaroszewicz},
title = {Variable screening for Lasso based on multidimensional indexing},
journal = {Data Mining and Knowledge Discovery},
volume = {38},
number = {1},
pages = {49--78},
year = {2024}
}
Krzysztof Rudaś, Szymon Jaroszewicz. Regularization for Uplift Regression. In
Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'23), pages 593-608, 2023.
@inproceedings{uplift-regul,
author = {Krzysztof Rudaś and Szymon Jaroszewicz},
title = {Regularization for Uplift Regression},
booktitle = "Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'23)",
pages = {593--608},
publisher = {Springer},
year = {2023}
}
Szymon Jaroszewicz, Krzysztof Rudaś. Shrinkage Estimators for the Intercept in Linear and Uplift Regression.
Scientific Annals of Computer Science, 33(1), pages 35-52, 2023.
@article{shrink-intercept,
title = {Shrinkage Estimators for the Intercept in Linear and Uplift Regression},
author = {Szymon Jaroszewicz and Krzysztof Rudaś},
journal = {Scientific Annals of Computer Science},
volume = {33},
number = {1},
year = {2023},
pages = {35--52}
}
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch. Continuous Prediction of a Time Intervals-Related Pattern's Completion.
Knowledge and Information Systems, 65(11), pages 4797-4846, 2023.
@article{kais-cont-pred,
author = {Nevo Itzhak and Szymon Jaroszewicz and Robert Moskovitch},
title = {Continuous Prediction of a Time Intervals-Related Pattern's Completion},
journal = {Knowledge and Information Systems},
volume = {65},
number = {11},
pages = "4797--4846",
year = 2023
}
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch. Continuously Predicting the Completion of a Time Intervals Related Pattern. In
The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'23), pages 239-251, Osaka, Japan, May, 2023.
@inproceedings{cont-pred-pakdd,
author = {Nevo Itzhak and Szymon Jaroszewicz and Robert Moskovitch},
title = {Continuously Predicting the Completion of a Time Intervals Related Pattern},
booktitle = {The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'23)},
address = {Osaka, Japan},
month = "May",
pages = "239--251",
year = 2023
}
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, others (editors). 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. Communications in Computer and Information Science, 1752, 2023, ISBN: 978-3-031-23617-4.
@proceedings{ecml-22-workshop-editor,
editor = {Irena Koprinska and Paolo Mignone and Riccardo Guidotti and Szymon Jaroszewicz and others},
opteditorfull = {Irena Koprinska and Paolo Mignone and Riccardo Guidotti and Szymon Jaroszewicz and Holger Fr{\"{o}}ning and Francesco Gullo and Pedro M. Ferreira and Damian Roqueiro and Gaia Ceddia and Slawomir Nowaczyk and Jo{\~{a}}o Gama and Rita P. Ribeiro and Ricard Gavald{\`{a}} and Elio Masciari and Zbigniew W. Ras and Ettore Ritacco and Francesca Naretto and Andreas Theissler and Przemyslaw Biecek and Wouter Verbeke and Gregor Schiele and Franz Pernkopf and Michaela Blott and Ilaria Bordino and Ivan Luciano Danesi and Giovanni Ponti and Lorenzo Severini and Annalisa Appice and Giuseppina Andresini and Ib{\'{e}}ria Medeiros and Guilherme Gra{\c{c}}a and Lee A. D. Cooper and Naghmeh Ghazaleh and Jonas Richiardi and Diego Saldana Miranda and Konstantinos Sechidis and Arif Canakoglu and Sara Pid{\`{o}} and Pietro Pinoli and Albert Bifet and Sepideh Pashami},
title = {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}},
series = {Communications in Computer and Information Science},
volume = {1752},
publisher = {Springer},
year = {2023},
isbn = {978-3-031-23617-4}
}
B. Żogała-Siudem, S. Jaroszewicz. Fast stepwise regression based on multidimensional indexes.
Information Sciences, 549, pages 288-309, 2021.
@article{spatial-index-stepwise,
author = {B. {Ż}oga{ł}a{-}Siudem and S. Jaroszewicz},
title = {Fast stepwise regression based on multidimensional indexes},
journal = {Information Sciences},
volume = {549},
pages = {288--309},
year = {2021}
}
R. M. Gubela, S. Lessmann, S. Jaroszewicz. Response transformation and profit decomposition for revenue uplift modeling.
European Journal of Operational Research, 283(2), pages 647-661, 2020.
@article{uplift-response-transf-revenue,
author = {R. M. Gubela and S. Lessmann and S. Jaroszewicz},
title = {Response transformation and profit decomposition for revenue uplift modeling},
journal = {European Journal of Operational Research},
volume = {283},
number = {2},
pages = {647--661},
year = {2020}
}
Rudaś, Krzysztof, Jaroszewicz, Szymon. Shrinkage Estimators for Uplift Regression. In
Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'19), Würzburg, Germany, Sep, 2019.
@inproceedings{uplift-shrinkage,
author = "Ruda{ś}, Krzysztof and Jaroszewicz, Szymon",
title = "Shrinkage Estimators for Uplift Regression",
booktitle = "Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'19)",
year = "2019",
month = "Sep",
address = "Würzburg, Germany"
}
Rudaś, Krzysztof, Jaroszewicz, Szymon. Linear regression for uplift modeling.
Data Mining and Knowledge Discovery, 32(5), pages 1275-1305, Sep, 2018.
@article{uplift-linreg,
author = "Ruda{ś}, Krzysztof and Jaroszewicz, Szymon",
title = "Linear regression for uplift modeling",
journal = "Data Mining and Knowledge Discovery",
year = "2018",
month = "Sep",
volume = "32",
number = "5",
pages = "1275--1305"
}
Oskar Jarczyk, Szymon Jaroszewicz, Adam Wierzbicki, Kamil Pawlak, Michal Jankowski-Lorek. Surgical teams on GitHub: Modeling performance of GitHub project development processes.
Information and Software Technology, 100, pages 32-46, 2018.
@article{github-teams2,
title = "Surgical teams on GitHub: Modeling performance of GitHub project development processes",
author = "Oskar Jarczyk and Szymon Jaroszewicz and Adam Wierzbicki and Kamil Pawlak and Michal Jankowski-Lorek",
journal = "Information and Software Technology",
volume = "100",
pages = "32--46",
year = "2018"
}
M. Sołtys, S. Jaroszewicz. Boosting algorithms for uplift modeling.
CoRR, abs/1807.07909, 2018, arXiv preprint.
@article{uplift-boosting,
author = {M. So{ł}tys and S. Jaroszewicz},
title = {Boosting algorithms for uplift modeling},
journal = {CoRR},
volume = {abs/1807.07909},
year = {2018},
note = {arXiv preprint}
}
Ł. Zaniewicz, S. Jaroszewicz. Lp-Support vector machines for uplift modeling.
Knowledge and Information Systems, 53(1), pages 269-296, Oct, 2017.
@article{lp-usvm,
author = "{Ł}. Zaniewicz and S. Jaroszewicz",
title = "Lp-Support vector machines for uplift modeling",
journal = "Knowledge and Information Systems",
year = "2017",
month = "Oct",
volume = "53",
number = "1",
pages = "269--296"
}
S. Jaroszewicz. Uplift Modeling. In
Encyclopedia of Machine Learning and Data Mining, pages 1304-1309, Springer US, Boston, MA, 2017.
@incollection{uplift-ml-encyclopedia,
author = "S. Jaroszewicz",
editor = "C. Sammut and G. Webb",
title = "Uplift Modeling",
booktitle = "Encyclopedia of Machine Learning and Data Mining",
year = "2017",
publisher = "Springer US",
address = "Boston, MA",
pages = "1304--1309"
}
M. Jankowski-Lorek, S. Jaroszewicz, Ł. Ostrowski, A. Wierzbicki. Verifying social network models of Wikipedia knowledge community.
Information Sciences, 339, pages 158-174, 2016.
@article{wikipedia-teams2,
title = "Verifying social network models of Wikipedia knowledge community",
author = "M. Jankowski-Lorek and S. Jaroszewicz and {Ł}. Ostrowski and A. Wierzbicki",
journal = "Information Sciences",
volume = "339",
pages = "158--174",
year = "2016"
}
S. Jaroszewicz, Ł. Zaniewicz. Székely Regularization for Uplift Modeling. In
Challenges in Computational Statistics and Data Mining, pages 135-154, Springer International Publishing, Cham, 2016.
@incollection{Szekely-regularization,
author = "S. Jaroszewicz and {Ł}. Zaniewicz",
editor = "S. Matwin and J. Mielniczuk",
title = "Sz{é}kely Regularization for Uplift Modeling",
booktitle = "Challenges in Computational Statistics and Data Mining",
year = "2016",
publisher = "Springer International Publishing",
address = "Cham",
pages = "135--154"
}
M. Sołtys, S. Jaroszewicz, P. Rzepakowski. Ensemble methods for uplift modeling.
Data Mining and Knowledge Discovery, 29(6), pages 1531-1559, Nov, 2015.
@article{upl-ensembles,
author = "M. So{ł}tys and S. Jaroszewicz and P. Rzepakowski",
title = "Ensemble methods for uplift modeling",
journal = "Data Mining and Knowledge Discovery",
year = "2015",
month = "Nov",
day = "01",
volume = "29",
number = "6",
pages = "1531--1559"
}
Wyrwicz, L., Jaroszewicz, S., Rzepakowski, P., Bujko, K.. Uplift modeling in selection of patients to either radiotherapy or radiochemotherapy in resectable rectal cancer: reassessment of data from the phase 3 study.
Annals of Oncology, 26(suppl_4), pages iv107, 2015, conference abstract.
@article{uplift-onco,
author = {Wyrwicz, L. and Jaroszewicz, S. and Rzepakowski, P. and Bujko, K.},
title = {Uplift modeling in selection of patients to either radiotherapy or radiochemotherapy in resectable rectal cancer: reassessment of data from the phase 3 study},
journal = {Annals of Oncology},
volume = {26},
number = {suppl_4},
pages = {iv107},
year = {2015},
note = "conference abstract"
}
S. Jaroszewicz, P. Rzepakowski. Uplift modeling with survival data. In
ACM SIGKDD Workshop on Health Informatics (HI-KDD'14), New York City, USA, August, 2014.
@inproceedings{upl-surv,
author = {S. Jaroszewicz and P. Rzepakowski},
title = {Uplift modeling with survival data},
booktitle = {ACM SIGKDD Workshop on Health Informatics (HI-KDD'14)},
year = 2014,
month = aug,
address = {New York City, USA}
}
M. Korzeń, Szymon Jaroszewicz. PaCAL: A Python Package for Arithmetic Computations with Random Variables.
Journal of Statistical Software, 57(10), 5, 2014.
@article{PacalJSS,
author = "M. Korze{ń} and Szymon Jaroszewicz",
title = "{PaCAL}: A Python Package for Arithmetic Computations with Random Variables",
journal = "Journal of Statistical Software",
volume = "57",
number = "10",
day = "6",
month = "5",
year = "2014"
}
O. Jarczyk, B. Gruszka, S. Jaroszewicz, L. Bukowski, A. Wierzbicki. GitHub Projects. Quality Analysis of Open-Source Software. In
Proc. of the 6th International Conference on Social Informatics (SocInfo'14), pages 80-94, Barcelona, Spain, November, 2014,
Best paper nominee.
@inproceedings{github-teams1,
author = "O. Jarczyk and B. Gruszka and S. Jaroszewicz and L. Bukowski and A. Wierzbicki",
title = "GitHub Projects. {Q}uality Analysis of Open-Source Software",
booktitle = "Proc. of the 6th International Conference on Social Informatics (SocInfo'14)",
year = "2014",
month = nov,
address = "Barcelona, Spain",
pages = "80--94",
note = {{\bf Best paper nominee}}
}
B. Żogała-Siudem, S. Jaroszewicz. Fast stepwise regression on Linked Data. In
Proc. of the 1st Workshop on Linked Data for Knowledge Discovery (LD4KD) co-located with ECML/PKDD'14, pages 17-26, Nancy, France, September, 2014.
@inproceedings{ZogalaJaroszewicz:LD4KD2014,
author = "B. {Ż}oga{ł}a-Siudem and S. Jaroszewicz",
booktitle = "Proc. of the 1st Workshop on Linked Data for Knowledge Discovery (LD4KD) co-located with ECML/PKDD'14",
title = "{Fast stepwise regression on Linked Data}",
address = "Nancy, France",
month = sep,
pages = "17--26",
year = "2014"
}
Ł. Zaniewicz, S. Jaroszewicz. Support Vector Machines for Uplift Modeling. In
The First IEEE ICDM Workshop on Causal Discovery (CD 2013), Dallas, Texas, December, 2013.
@inproceedings{upsvm,
author = "Ł. Zaniewicz and S. Jaroszewicz",
title = "Support Vector Machines for Uplift Modeling",
booktitle = "The First IEEE ICDM Workshop on Causal Discovery (CD 2013)",
year = 2013,
address = "Dallas, Texas",
month = dec
}
L. Bukowski, M. Jankowski-Lorek, S. Jaroszewicz, M. Sydow. What Makes a Good Team of Wikipedia Editors?~A Preliminary Statistical Analysis. In
Proc. of the 5th International Conference on Social Informatics (SocInfo'14), pages 14-28, Kyoto, Japan, November, 2013.
@inproceedings{wikipedia-teams,
author = "L. Bukowski and M. Jankowski-Lorek and S. Jaroszewicz and M. Sydow",
title = "What Makes a Good Team of {W}ikipedia Editors?~{A} Preliminary Statistical Analysis",
booktitle = "Proc. of the 5th International Conference on Social Informatics (SocInfo'14)",
year = "2013",
month = nov,
address = "Kyoto, Japan",
pages = "14--28"
}
M. Korzeń, S. Jaroszewicz, P. Klęsk. Logistic regression with weight grouping priors.
Computational Statistics & Data Analysis, 64, pages 281-298, August, 2013.
@article{weight-grouping-priors,
author = "M. Korze{ń} and S. Jaroszewicz and P. Kl\c esk",
title = "Logistic regression with weight grouping priors",
journal = "Computational Statistics \& Data Analysis",
volume = 64,
month = aug,
year = 2013,
pages = "281--298"
}
P. Rzepakowski, S. Jaroszewicz. Decision trees for uplift modeling with single and multiple treatments.
Knowledge and Information Systems, 32, pages 303-327, August, 2012.
@article{uplift-trees-KAIS,
author = "P. Rzepakowski and S. Jaroszewicz",
title = "Decision trees for uplift modeling with single and multiple treatments",
journal = {Knowledge and Information Systems},
year = 2012,
volume = 32,
issue = 2,
month = aug,
pages = "303--327"
}
M. Jaśkowski, S. Jaroszewicz. Uplift Modeling for Clinical Trial Data. In
ICML 2012 Workshop on Machine Learning for Clinical Data Analysis, Edinburgh, Scotland, June, 2012.
@inproceedings{uplift-clinical-ml,
author = "M. Ja{ś}kowski and S. Jaroszewicz",
title = "Uplift Modeling for Clinical Trial Data",
booktitle = "ICML 2012 Workshop on Machine Learning for Clinical Data Analysis",
year = 2012,
address = "Edinburgh, Scotland",
month = jun
}
P. Rzepakowski, S. Jaroszewicz. Uplift Modeling in Direct Marketing.
Journal of Telecommunications and Information Technology, 2, pages 43-50, 2012.
@article{RJ2012,
author = "P. Rzepakowski and S. Jaroszewicz",
title = "Uplift Modeling in Direct Marketing",
journal = "Journal of Telecommunications and Information Technology",
volume = "2",
year = "2012",
pages = "43--50"
}
S. Jaroszewicz, M. Korzeń. Arithmetic Operations on Independent Random Variables: A Numerical Approach.
SIAM Journal on Scientific Computing, 34, pages A1241-A1265, 2012.
@article{rand-arrith-SISC,
author = "S. Jaroszewicz and M. Korze{ń}",
title = {Arithmetic Operations on Independent Random Variables: A Numerical Approach},
journal = {SIAM Journal on Scientific Computing},
volume = 34,
issue = 3,
pages = "A1241--A1265",
year = 2012
}
P. Rzepakowski, S. Jaroszewicz. Decision Trees for Uplift Modeling. In
Proc. of the 10th International Conference on Data Mining (ICDM), pages 441-450, Sydney, Australia, December, 2010.
@inproceedings{uplift-trees-ICDM,
author = {P. Rzepakowski and S. Jaroszewicz},
title = {Decision Trees for Uplift Modeling},
booktitle = {Proc. of the 10th International Conference on Data Mining (ICDM)},
year = 2010,
pages = "441--450",
address = "Sydney, Australia",
month = dec
}
S. Jaroszewicz. Using interesting sequences to interactively build Hidden Markov Models.
Data Mining and Knowledge Discovery, 21(1), pages 186-220, 2010.
@article{HMMInterDMKD,
author = {S. Jaroszewicz},
title = {Using interesting sequences to interactively build Hidden Markov Models},
journal = {Data Mining and Knowledge Discovery},
volume = 21,
number = 1,
year = 2010,
pages = "186--220"
}
S. Jaroszewicz. Discovering Interesting Patterns in Numerical Data with Background Knowledge. In
Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection, pages 118-130, IGI Global, 2010.
@incollection{InterPatNumerData,
author = {S. Jaroszewicz},
title = {Discovering Interesting Patterns in Numerical Data with Background Knowledge},
booktitle = {Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event Detection},
pages = {118--130},
publisher = {IGI Global},
year = 2010,
editor = {Y.S. Koh and N. Rountree}
}
S. Jaroszewicz, T. Scheffer, D.A. Simovici. Scalable pattern mining with Bayesian networks as background knowledge.
Data Mining and Knowledge Discovery, 18(1), pages 56-100, 2009.
@article{BayesIntDMKD,
author = {S. Jaroszewicz and T. Scheffer and D.A. Simovici},
title = {Scalable pattern mining with Bayesian networks as background knowledge},
journal = {Data Mining and Knowledge Discovery},
year = {2009},
volume = 18,
number = 1,
pages = "56--100"
}
S. Jaroszewicz. Interactive HMM Construction Based on Interesting Sequences. In
Proc. of Local Patterns to Global Models (LeGo'08) Workshop at the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), pages 82-91, Antwerp, Belgium, 2008.
@inproceedings{HMMInter,
author = {S. Jaroszewicz},
title = {Interactive {HMM} Construction Based on Interesting Sequences},
booktitle = {Proc. of Local Patterns to Global Models ({LeGo}'08) Workshop at the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases ({PKDD}'08)},
pages = {82--91},
year = 2008,
address = {Antwerp, Belgium}
}
S. Jaroszewicz. Minimum Variance Associations -- Discovering Relationships in Numerical Data. In
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 172-183, Osaka, Japan, 2008.
@inproceedings{Funcrules,
author = {S. Jaroszewicz},
title = {Minimum Variance Associations --- Discovering Relationships in Numerical Data},
booktitle = {The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
pages = {172--183},
year = 2008,
address = {Osaka, Japan}
}
T. Calders, S. Jaroszewicz. Efficient AUC Optimization for Classification. In
11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), pages 42-53, Warsaw, Poland, 2007,
Best paper award.
@inproceedings{AUCapprox,
author = "T. Calders and S. Jaroszewicz",
title = "Efficient AUC Optimization for Classification",
booktitle = "11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'07)",
year = 2007,
mon = sep,
pages = "42--53",
address = "Warsaw, Poland",
software = http://www.cs.umb.edu/~sj/AUCopt,
note = {{\bf Best paper award}}
}
S. Jaroszewicz, L. Ivantysynova, T. Scheffer. Schema Matching on Streams with Accuracy Guarantees.
Intelligent Data Analysis, 12(3), pages 253-270, 2008.
@article{schemaMatchingIDA,
author = {S. Jaroszewicz and L. Ivantysynova and T. Scheffer},
title = "Schema Matching on Streams with Accuracy Guarantees",
journal = "Intelligent Data Analysis",
volume = 12,
number = 3,
pages = "253--270",
year = 2008
}
S. Jaroszewicz, M. Korzeń. Approximating Representations for Large Numerical Databases. In
7th SIAM International Conference on Data Mining (SDM'07), pages 521-526, Minneapolis, MN, 2007.
@inproceedings{approx-repr,
author = "S. Jaroszewicz and M. Korze{ń}",
title = "Approximating Representations for Large Numerical Databases",
booktitle = "7th SIAM International Conference on Data Mining (SDM'07)",
address = "Minneapolis, MN",
pages = "521--526",
year = 2007,
mon = apr
}
S. Jaroszewicz, L. Ivantysynova, T. Scheffer. Accurate Schema Matching on Streams. In
4th International Workshop on Knowledge Discovery from Data Streams at the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'06), pages 3-12, 2006.
@inproceedings{schemaMatching,
author = {S. Jaroszewicz and L. Ivantysynova and T. Scheffer},
title = "Accurate Schema Matching on Streams",
booktitle = "4th International Workshop on Knowledge Discovery from Data Streams at the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'06)",
year = 2006,
adrress = "Berlin, Germany",
mon = sep,
pages = "3--12"
}
T. Calders, B. Goethals, S. Jaroszewicz. Mining Rank-Correlated Sets of Numerical Attributes. In
Proc. of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), 2006.
@inproceedings{rank-methods,
author = "T. Calders and B. Goethals and S. Jaroszewicz",
title = "Mining Rank-Correlated Sets of Numerical Attributes",
booktitle = "Proc. of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06)",
year = 2006
}
S. Jaroszewicz. Polynomial Association Rules with Applications to Logistic Regression. In
Proc. of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), 2006.
@inproceedings{poly-rules-logistic,
author = "S. Jaroszewicz",
title = "Polynomial Association Rules with Applications to Logistic Regression",
booktitle = "Proc. of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06)",
year = 2006
}
S. Jaroszewicz, M. Korzeń. Comparison of Information Theoretical Measures for Reduct Finding. In
Proc. of the 8th International Conference on Artificial Intelligence and Soft Computing (ICAISC'06), pages 518-527, Zakopane, June, 2006.
@inproceedings{roughInfoMeasures,
author = "S. Jaroszewicz and M. Korze{ń}",
title = "Comparison of Information Theoretical Measures for Reduct Finding",
booktitle = "Proc. of the 8th International Conference on Artificial Intelligence and Soft Computing (ICAISC'06)",
address = "Zakopane",
year = 2006,
month = jun,
pages = "518--527",
series = "LNAI 4029",
publisher = "Springer-Verlag"
}
D. A. Simovici, S. Jaroszewicz. A new metric splitting criterion for decision trees.
Parallel Algorithms Appl., 21(4), pages 239-256, 2006.
@article{trees-journal,
author = {D. A. Simovici and S. Jaroszewicz},
title = {A new metric splitting criterion for decision trees},
journal = {Parallel Algorithms Appl.},
volume = {21},
number = {4},
year = 2006,
pages = "239--256"
}
D. A. Simovici, S. Jaroszewicz. Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees. In
10th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD'06), pages 35-44, Singapore, 2006.
@inproceedings{trees-PAKDD,
author = {D. A. Simovici and S. Jaroszewicz},
title = {Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees},
booktitle = {10th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD'06)},
year = 2006,
mon = apr,
address = "Singapore",
pages = "35--44"
}
S. Jaroszewicz, T. Scheffer. Fast Discovery of Unexpected Patterns in Data, Relative to a Bayesian Network. In
11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005), pages 118-127, Chicago, IL, August, 2005.
@inproceedings{BayesIntSampling,
author = "S. Jaroszewicz and T. Scheffer",
title = "Fast Discovery of Unexpected Patterns in Data, Relative to a Bayesian Network",
booktitle = {11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005)},
address = "Chicago, IL",
pages = "118--127",
month = aug,
year = 2005
}
D. Simovici, S. Jaroszewicz. A New Metric Splitting Criterion for Decision Trees.
International Journal of Parallel, Emergent and Distributed Systems, 21(4), pages 239-256, August, 2006.
@article{metricSplitting,
author = "D. Simovici and S. Jaroszewicz",
title = "A New Metric Splitting Criterion for Decision Trees",
journal = "International Journal of Parallel, Emergent and Distributed Systems",
volume = "21",
number = "4",
month = aug,
year = 2006,
pages = "239--256"
}
S. Jaroszewicz, W. Kosiński. Machine Learning for Speech Recognition Researchers. In
Proceedings of the Speech Analysis, Synthesis and Recognition Applications of Phonetics Conference, Kraków, Poland, September, 2005, Publication on CD-ROM.
@inproceedings{MLforSpeech,
author = "S. Jaroszewicz and W. Kosi{ń}ski",
title = "Machine Learning for Speech Recognition Researchers",
booktitle = "Proceedings of the Speech Analysis, Synthesis and Recognition Applications of Phonetics Conference",
address = "Krak{ó}w, Poland",
month = sep,
year = "2005",
note = "Publication on CD-ROM"
}
M. Korzeń, S. Jaroszewicz. Finding Reducts Without Building the Discernibility Matrix.. In
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA'05), pages 450-455, Wrocław, Poland, 2005.
@inproceedings{roughReducts,
author = {M. Korze{ń} and S. Jaroszewicz},
title = {Finding Reducts Without Building the Discernibility Matrix.},
booktitle = {Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA'05)},
year = {2005},
pages = {450-455},
address = {Wroc{ł}aw, Poland}
}
D. Simovici, S. Jaroszewicz. A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index. In
PAKDD 2004, pages 181-190, Sydney, Australia, May, 2004.
@inproceedings{GKtrees,
author = "D. Simovici and S. Jaroszewicz",
title = "A Metric Approach to Building Decision Trees Based on {G}oodman-{K}ruskal Association Index",
booktitle = "PAKDD 2004",
address = "Sydney, Australia",
month = may,
year = 2004,
series = "LNAI 3056",
publisher = "Springer-Verlag",
pages = "181--190"
}
S. Jaroszewicz, D. A. Simovici, I. Rosenberg. Measures on Boolean Polynomials and Their Applications in Data Mining.
Discrete Applied Mathematics, 144(1-2), pages 123-139, November, 2004.
@article{exor-Bonferroni-ADM,
author = "S. Jaroszewicz and D. A. Simovici and I. Rosenberg",
title = "Measures on {B}oolean Polynomials and Their Applications in Data Mining",
journal = "Discrete Applied Mathematics",
year = 2004,
month = nov,
volume = "144",
number = "1--2",
pages = "123--139"
}
Szymon Jaroszewicz, Dan Simovici. Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge. In
10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004), pages 178-186, Seattle, WA, August, 2004.
@inproceedings{BayesInt,
author = {Szymon Jaroszewicz and Dan Simovici},
title = {Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge},
booktitle = {10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2004)},
address = "Seattle, WA",
pages = "178--186",
month = aug,
year = 2004
}
S. Jaroszewicz, D. A. Simovici, W. P. Kuo, L. Ohno-Machado. The Goodman-Kruskal Ceofficient and its Applications in Genetic Diagnosis of Cancer.
IEEE Transactions on Biomedical Engineering, 51(7), pages 1095-1102, July, 2004.
@article{gk-gene-prediction,
author = "S. Jaroszewicz and D. A. Simovici and W. P. Kuo and L. Ohno-Machado",
title = "The {G}oodman-{K}ruskal Ceofficient and its Applications in Genetic Diagnosis of Cancer",
journal = "IEEE Transactions on Biomedical Engineering",
year = 2004,
pages = "1095--1102",
volume = "51",
number = "7",
month = jul
}
Szymon Jaroszewicz. Information Theoretical and Combinatorial Methods in Data Mining.
PhD thesis, University of Massachusetts Boston, December, 2003.
@phdthesis{dissert,
author = "Szymon Jaroszewicz",
title = "Information Theoretical and Combinatorial Methods in Data Mining",
school = "University of Massachusetts Boston",
year = 2003,
month = dec
}
Dan A. Simovici, Szymon Jaroszewicz. Generalized Conditional Entropy and Decision Trees. In
Journees francophones d'Extraction et de Gestion de Connaissances (EGC 2003), pages 369-380, Lyon, France, January, 2003.
@inproceedings{egc03,
author = "Dan A. Simovici and Szymon Jaroszewicz",
title = "Generalized Conditional Entropy and Decision Trees",
booktitle = "Journees francophones d'Extraction et de Gestion de Connaissances (EGC 2003)",
pages = "369--380",
month = jan,
year = 2003,
address = "Lyon, France"
}
S. Jaroszewicz, D. A. Simovici. Support Approximations Using Bonferroni-type Inequalities. In
6th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2002), pages 212-223, Helsinki, Finland, August, 2002.
@inproceedings{support-approx,
author = "S. Jaroszewicz and D. A. Simovici",
title = "Support Approximations Using {B}onferroni-type Inequalities",
booktitle = "6th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2002)",
year = "2002",
month = aug,
address = "Helsinki, Finland",
pages = "212--223"
}
S. Jaroszewicz, D. A. Simovici. Pruning Redundant Association Rules Using Maximum Entropy Principle. In
Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135-147, Taipei, Taiwan, May, 2002.
@inproceedings{prunning-MaxEnt,
author = "S. Jaroszewicz and D. A. Simovici",
title = "Pruning Redundant Association Rules Using Maximum Entropy Principle",
booktitle = "Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02",
year = "2002",
month = may,
address = "Taipei, Taiwan",
pages = "135--147"
}
I. Rosenberg, D. A. Simovici, S. Jaroszewicz. On Functions Defined on Free Boolean Algebras. In
IEEE Intenrational Symposiun on Multiple-Valued Logic ISMVL'02, Boston, MA, May, 2002.
@inproceedings{measures-on-bool-func,
author = "I. Rosenberg and D. A. Simovici and S. Jaroszewicz",
title = "On Functions Defined on Free Boolean Algebras",
booktitle = "IEEE Intenrational Symposiun on Multiple-Valued Logic ISMVL'02",
year = "2002",
month = may,
address = "Boston, MA"
}
S. Jaroszewicz, D. A. Simovici, I. Rosenberg. An Inclusion-Exclusion Result for Boolean Polynomials and Its Applications in Data Mining. In
Workshop on Discrete Mathematics and Data Mining (DM&DM), Second SIAM International Conference on Data Mining, Arlington, VA, April, 2002.
@inproceedings{exor-Bonferroni,
author = "S. Jaroszewicz and D. A. Simovici and I. Rosenberg",
title = "An Inclusion-Exclusion Result for Boolean Polynomials and Its Applications in Data Mining",
booktitle = "Workshop on Discrete Mathematics and Data Mining (DM\&DM), Second SIAM International Conference on Data Mining",
year = 2002,
address = "Arlington, VA",
month = apr
}
D. A. Simovici, S. Jaroszewicz. An Axiomatization of Partition Entropy.
IEEE Transactions on Information Theory, 48(7), pages 2138-2142, July, 2002.
@article{part-ent-axiom,
author = "D. A. Simovici and S. Jaroszewicz",
title = "An Axiomatization of Partition Entropy",
journal = "IEEE Transactions on Information Theory",
year = 2002,
pages = "2138--2142",
volume = "48",
number = "7",
month = jul
}
S. Jaroszewicz, D. A. Simovici. A General Measure of Rule Interestingness. In
5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2001), pages 253-265, 2001.
@inproceedings{general-inter-measure,
author = "S. Jaroszewicz and D. A. Simovici",
title = "A General Measure of Rule Interestingness",
booktitle = "5th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2001)",
year = 2001,
pages = "253--265"
}
S. Jaroszewicz, D. A. Simovici. Data Mining of Weak Functional Decompositions. In
Proc. of the 30th International Symposium on Multiple-Valued Logic (ISMVL 2000), pages 77-82, 2000.
@inproceedings{weak-decomp,
author = "S. Jaroszewicz and D. A. Simovici",
title = "Data Mining of Weak Functional Decompositions",
booktitle = "Proc. of the 30th International Symposium on Multiple-Valued Logic (ISMVL 2000)",
year = 2000,
pages = "77--82"
}
D. A. Simovici, S. Jaroszewicz. On Information-Theoretical Aspects of Relational Databases. In
Finite versus Infinite, Springer Verlag, London, 2000.
@incollection{inf-theor-db,
author = "D. A. Simovici and S. Jaroszewicz",
title = "On Information-Theoretical Aspects of Relational Databases",
booktitle = "Finite versus Infinite",
editor = "C. Calude and G. Paun",
publisher = "Springer Verlag",
address = "London",
year = 2000
}
S. Jaroszewicz, D. A. Simovici. On Axiomatization of Conditional Entropy of Functions Between Finite Sets. In
Proceedings of the 29th International Symposium on Multiple-Valued Logic, pages 24-28, Freiburg, Germany, 1999.
@inproceedings{cond-ent-axiom,
author = "S. Jaroszewicz and D. A. Simovici",
title = "On Axiomatization of Conditional Entropy of Functions Between Finite Sets",
booktitle = "Proceedings of the 29th International Symposium on Multiple-Valued Logic",
address = "Freiburg, Germany",
year = 1999,
pages = "24--28"
}
S.Jaroszewicz. Minimization of Incompletely Specified Multiple-Valued Functions in Reed-Muller Domain. In
Proc. of the 19th International Scientific Symposium for Students and Young Research Employees, pages 121-126, Zielona Góra, Poland, 1997, (in Polish).
@inproceedings{minim-inc-mvl-rm,
author = "S.Jaroszewicz",
title = "Minimization of Incompletely Specified Multiple-Valued Functions in Reed-Muller Domain",
booktitle = "Proc. of the 19th International Scientific Symposium for Students and Young Research Employees",
address = "Zielona Góra, Poland",
year = 1997,
pages = "121--126",
note = "(in Polish)"
}
S.Jaroszewicz, V.Shmerko, S.Yanushkevich. Exact Irredundant Searching for a Minimal Reed-Muller Expansion for an Incompletely Specified MVL Function. In
Proc. of the International Conference on Application of Computer Systems, pages 65-74, Szczecin, Poland, 1996.
@inproceedings{minim-single-mvl-func,
author = "S.Jaroszewicz and V.Shmerko and S.Yanushkevich",
title = "Exact Irredundant Searching for a Minimal Reed-Muller Expansion for an Incompletely Specified MVL Function",
booktitle = "Proc. of the International Conference on Application of Computer Systems",
address = "Szczecin, Poland",
year = 1996,
pages = "65--74"
}
A.D.Zakrevskij, S.N.Yanushkevich, S.Jaroszewicz. Minimization of Reed-Muller Expansions for Systems of Incompletely Specified MVL Functions. In
Proc. of the International Conference on Methods and Models in Automatics and Robotics (MMAR'96), pages 1085-1090, Międzyzdroje, Poland, 1996.
@inproceedings{minim-syst-mvl-func,
author = "A.D.Zakrevskij and S.N.Yanushkevich and S.Jaroszewicz",
title = "Minimization of Reed-Muller Expansions for Systems of Incompletely Specified MVL Functions",
booktitle = "Proc. of the International Conference on Methods and Models in Automatics and Robotics (MMAR'96)",
address = "Mi\c edzyzdroje, Poland",
year = 1996,
pages = "1085--1090"
}