20012020

Research output per year

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Research Output

2020

Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance

Zhou, S., Smirnov, E., Schoenmakers, G., Peeters, R. & Wu, X., 15 Jul 2020, In : Neurocomputing. 397, p. 309-319 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes

Ismailoglu, F., Cavill, R., Smirnov, E., Zhou, S., Collins, P. & Peeters, R., Feb 2020, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17, 1, p. 347-353 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Special Issue on Conformal and Probabilistic Prediction with Applications

Gammerman, A., Vovk, V., Luo, Z., Smirnov, E. & Peeters, R., 15 Jul 2020, In : Neurocomputing. 397, p. 264-265 2 p.

Research output: Contribution to journalEditorialAcademicpeer-review

2019

A regime-switching recurrent neural network model applied to wind time series

Nikolaev, N. Y., Smirnov, E., Stamate, D. & Zimmer, R., Jul 2019, In : Applied Soft Computing. 80, p. 723-734 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Conformal and Probabilistic Prediction and Applications

Gammerman, A. (ed.), Vovk, V. (ed.), Luo, Z. (ed.) & Smirnov, E. (ed.), 2019, Proceedings of Machine Learning Research. 247 p.

Research output: Book/ReportBook editingAcademic

Conformal Prediction for Students' Grades in a Course Recommender System

Morsomme, R. & Smirnov, E., 2019, Proceedings of Machine Learning Research: Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria. Vol. 105. p. 196-213 (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Ensembles based on conformal instance transfer

Zhou, S., Smirnov, E. & Schoenmakers, G., 2019, Proceedings of Machine Learning Research: Conformal and Probabilistic Prediction and Applications, 9-11 September 2019, Golden Sands, Bulgaria. Vol. 105. p. 23-42 (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Open Access
2018

An Ensemble Approach to Time Dependent Classification

van Daalen, F., Smirnov, E., Davarzani, N., Peeters, R., Karel, J. & Brunner-La Rocca, H., 20 Dec 2018, 17th IEEE International Conference on Machine Learning and Applications. IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Conformal feature-selection wrappers for instance transfer

Zhou, S., Smirnov, E., Schoenmakers, G., Peeters, R. & Jiang, T., 2018, Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.. Proceedings of Machine Learning Research, Vol. 91. p. 96-113 18 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Conformal stacked weather forecasting

Neeven, J. & Smirnov, E., 2018, Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands.. Proceedings of Machine Learning Research, Vol. 91. p. 220-233 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Ensemble Cross-Conformal Prediction

Beganovic, D. & Smirnov, E., 2018, Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE, p. 870-877

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Heterogeneous Domain Adaptation Based on Class Decomposition Schemes

Ismailoglu, F., Smirnov, E., Peeters, R., Zhou, S. & Collins, P., 19 Jun 2018, Advances in Knowledge Discovery and Data Mining: PAKDD 2018. Phung, D., Tseng, V., Webb, G., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham: Springer, p. 169-182 (Lecture Notes in Computer Science, Vol. 10937).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Novel concept to guide systolic heart failure medication by repeated biomarker testing—results from TIME-CHF in context of predictive, preventive, and personalized medicine

Davarzani, N., Sanders-van Wijk, S., Maeder, M. T., Rickenbacher, P., Smirnov, E., Karel, J., Suter, T., de Boer, R. A., Block, D., Rolny, V., Zaugg, C., Pfisterer, M. E., Peeters, R. & Brunner-La Rocca, H., Jun 2018, In : The EPMA Journal. 9, 2, p. 161-173 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
2017

A Bayesian analysis for the bivariate geometric distribution in the presence of covariates and censored data

Davarzani, N., Achcar, J. A., Peeters, R. & Smirnov, E., 2017, In : Journal of Statistics and Management Systems. 20, 1, p. 1-16 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Conformal Decision-tree Approach to Instance Transfer

Zhou, S., Smirnov, E., Schoenmakers, G. & Peeters, R., Oct 2017, In : Annals of Mathematics and Artificial Intelligence. 81, 1-2, p. 85-104 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Conformity-Based Source Subset Selection for Instance Transfer

Zhou, S., Smirnov, E., Schoenmakers, G. & Peeters, R., 4 Oct 2017, In : Neurocomputing. 258, p. 41-51 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Discovering Hidden Course Requirements and Student Competences from Grade Data

Houbraken, M., Sun, C., Smirnov, E. & Driessens, K., 2017, Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, p. 147-152 6 p. (UMAP '17).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Open Access

Improving Card Fraud Detection Through Suspicious Pattern Discovery

Braun, F., Caelen, O., Smirnov, E. N., Kelk, S. & Lebichot, B., 3 Jun 2017, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017. Springer, Cham, p. 181-190 Chapter 21. (Lecture Notes in Computer Science, Vol. 10351).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Testing Exchangeability for Transfer Decision

Zhou, S., Smirnov, E., Schoenmakers, G., Driessens, K. & Peeters, R., 1 Mar 2017, In : Pattern Recognition Letters. 88, p. 64-71 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization

Driessens, K., Koprinska, I., Santos, O. C., Smirnov, E., Yacef, K. & Zaiane, O., 2017, Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

2016

Decision Trees for Instance Transfer

Zhou, S., Smirnov, E., Schoenmakers, G. & Peeters, R., 2016, Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications. p. 116-127

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Ranking Accuracy for Logistic-GEE Models

Davarzani, N., Peeters, R., Smirnov, E., Karel, J. & Brunner-la Rocca, H., 21 Sep 2016, IDA 2016: Advances in Intelligent Data Analysis XV . Boström, H., Knobbe, A., Soares, C. & Papapetrou, P. (eds.). Springer, p. 14-25 (Lecture Notes in Computer Science, Vol. 9897).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

2015

A Non-parametric Conformity-Based Test for Transfer Decisions

Zhou, S., Smirnov, E. N., Schoenmakers, G., Peeters, R. & Driessens, K., 2015, Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015). Vietri sul Mare, Italy, p. 628-635 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Bivariate lifetime geometric distribution in presence of cure fraction

Davarzani, N., Achcar, J. A., Smirnov, E. & Peeters, R., 2015, In : Journal of Data Science. 13, 2, p. 755-770 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Conformity Region Classification with Instance-Transfer Boosting

Zhou, S., Smirnov, E. N. & Peeters, R., 2015, In : International Journal on Artificial Intelligence Tools. 24, 6

Research output: Contribution to journalArticleAcademicpeer-review

Largest Source Subset Selection for Instance Transfer

Zhou, S., Schoenmakers, G., Smirnov, E. N., Peeters, R., Driessens, K. & Chen, S., 2015, Proceedings of The 7th Asian Conference on Machine Learning. Hong Kong, China, p. 423-438 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

2014

Analysis of publications and patents of ICT research in FP7: Final study report

Jacob, J., Sanditov, B., Smirnov, E., Wintjes, R., Notten, A. & Sasso, S., 2014, European Union. 143 p.

Research output: Book/ReportReportProfessional

Open Access
2013

Time-dependent series variance learning with recurrent mixture density networks

Nikolaev, N. I., Tino, P. & Smirnov, E. N., 2013, In : Neurocomputing. 122, p. 501-512 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

2012

Reliable Knowledge Discovery

Dai, H. (ed.), Liu, J. (ed.) & Smirnov, E. (ed.), 2012, Springer.

Research output: Book/ReportBook editingAcademic

2009

Meta-conformity approach to reliable classification

Smirnov, E. N., Nalbantov, G. I. & Kaptein, A. M., 2009, In : Intelligent Data Analysis. 13, 6, p. 901-915 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

The ROC isometrics approach to construct reliable classifiers

Vanderlooy, S., Sprinkhuizen-Kuyper, I. G., Smirnov, E. N. & van den Herik, H. J., 2009, In : Intelligent Data Analysis. 13, 1, p. 3-37 35 p.

Research output: Contribution to journalArticleAcademicpeer-review

2004

A unifying version-space representation

Smirnov, EN., van den Herik, HJ. & Sprinkhuizen-Kuyper, IG., May 2004, In : Annals of Mathematics and Artificial Intelligence. 41, 1, p. 47-76 30 p.

Research output: Contribution to journalArticleAcademicpeer-review

One-sided instance-based boundary sets

Smirnov, EN., Sprinkhuizen-Kuyper, IG. & van den Herik, HJ., 2004, Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries. Meo, R., Lanzi, PL. & Klemettinen, M. (eds.). Springer Verlag, p. 270-288 19 p. (Lecture Notes in Computer Science, Vol. 2682).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

2001

Conjunctive and disjunctive version spaces with instance-based boundary sets

Smirnov, E. N., 1 Jan 2001, Maastricht: Shaker Publishing. 224 p.

Research output: ThesisDoctoral ThesisInternal

Open Access
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