Evgueni N. Smirnov

79 papers A 6B 8C 4Misc 6Journal 13Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Bootstrapped Chains for Learning Using Privileged Information. The Importance of Being Learnable Evgueni N. Smirnov, Filip Schlembach
2025	J	`jnl`	Conformal multistep-ahead multivariate time-series forecasting. Mach. Learn. Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska, Mark H. M. Winands
2025	—	`conf`	Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Joint Validity. COPA Filip Schlembach, Evgueni N. Smirnov, Mark H. M. Winands
2023	—	`conf`	Coverage vs Acceptance-Error Curves for Conformal Classification Models. COPA Evgueni N. Smirnov
2023	C	`conf`	Multi-view Semi-supervised Learning Using Privileged Information. EANN Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev
2023	—	`conf`	Towards Explainable Linguistic Summaries. FUZZ Carla Wrede, Mark H. M. Winands, Evgueni N. Smirnov, Anna Wilbik
2022	—	`conf`	Conformal Decision Rules. COPA Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers
2022	—	`conf`	Conformal Multistep-Ahead Multivariate Time-Series Forecasting. COPA Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska
2022	—	`conf`	Interpretable and Reliable Rule Classification Based on Conformal Prediction. PKDD/ECML Workshops (1) Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers
2021	B	`conf`	Shapley-Value Data Valuation for Semi-supervised Learning. DS Christie Courtnage, Evgueni N. Smirnov
2021	—	`conf`	Shapley-value based inductive conformal prediction. COPA William Lopez Jaramillo, Evgueni N. Smirnov
2020	J	`jnl`	Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance. Neurocomputing Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Xi Wu
2020	—	`ed.`	Conformal and Probabilistic Prediction and Applications, COPA 2020, 9-11 September 2020, Virtual Event COPA Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Giovanni Cherubin, Marco Christini
2020	B	`conf`	Course Recommender Systems with Statistical Confidence. EDM Zachary Warnes, Magnus Kinder, Evgueni N. Smirnov
2020	J	`jnl`	Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. IEEE ACM Trans. Comput. Biol. Bioinform. Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters
2020	J	`jnl`	Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters
2020	C	`conf`	Valid Prediction Intervals for Course Grades with Conformal Prediction. ICMLA Raphaël Morsomme, Evgueni N. Smirnov
2019	J	`jnl`	A regime-switching recurrent neural network model applied to wind time series. Appl. Soft Comput. Nikolay Y. Nikolaev, Evgueni N. Smirnov, Daniel Stamate, Robert Zimmer
2019	—	`conf`	Conformal Prediction for Students' Grades in a Course Recommender System. COPA Raphaël Morsomme, Evgueni N. Smirnov
2019	—	`ed.`	Conformal and Probabilistic Prediction and Applications, COPA 2019, 9-11 September 2019, Golden Sands, Bulgaria COPA Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov
2019	—	`conf`	Ensembles based on conformal instance transfer. COPA Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers
2018	—	`ed.`	7th Symposium on Conformal and Probabilistic Prediction and Applications, COPA 2018, 11-13 June 2018, Maastricht, The Netherlands. COPA Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf L. M. Peeters
2018	C	`conf`	An Ensemble Approach to Time Dependent Classification. ICMLA Florian Van Daalen, Evgueni N. Smirnov, Nasser Davarzani, Ralf Peeters, Joël M. H. Karel, Hans-Peter Brunner-La Rocca
2018	—	`conf`	Conformal feature-selection wrappers for instance transfer. COPA Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Tao Jiang
2018	—	`conf`	Conformal stacked weather forecasting. COPA Jelmer Neeven, Evgueni N. Smirnov
2018	—	`conf`	Ensemble Cross-Conformal Prediction. ICDM Workshops Dorian Beganovic, Evgueni N. Smirnov
2018	—	`conf`	Heterogeneous Domain Adaptation Based on Class Decomposition Schemes. PAKDD (1) Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins
2017	J	`jnl`	Conformal decision-tree approach to instance transfer. Ann. Math. Artif. Intell. Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
2017	J	`jnl`	Conformity-based source subset selection for instance transfer. Neurocomputing Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
2017	—	`conf`	Discovering Hidden Course Requirements and Student Competences from Grade Data. UMAP (Adjunct Publication) Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens
2017	—	`conf`	Improving Card Fraud Detection Through Suspicious Pattern Discovery. IEA/AIE (2) Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot
2017	J	`jnl`	Testing exchangeability for transfer decision. Pattern Recognit. Lett. Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters
2017	—	`conf`	UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
2016	—	`conf`	Decision Trees for Instance Transfer. COPA Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
2016	B	`conf`	Ranking Accuracy for Logistic-GEE Models. IDA Nasser Davarzani, Ralf Peeters, Evgueni N. Smirnov, Joël M. H. Karel, Hans-Peter Brunner-La Rocca
2015	B	`conf`	A Non-parametric Conformity-Based Test for Transfer Decisions. ICTAI Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens
2015	B	`conf`	Conformal ECOC Machines. ICTAI Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters
2015	—	`conf`	Fractional Programming Weighted Decoding for Error-Correcting Output Codes. MCS Firat Ismailoglu, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, Sergio Escalera, Ralf Peeters
2015	—	`conf`	Instance-Based Decompositions of Error Correcting Output Codes. MCS Firat Ismailoglu, Evgueni N. Smirnov, Nikolay Y. Nikolaev, Ralf Peeters
2015	C	`conf`	Largest Source Subset Selection for Instance Transfer. ACML Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen
2014	B	`conf`	Inexpensive user tracking using Boltzmann Machines. SMC Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov
2014	—	`conf`	Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation. CIFEr Nikolay Y. Nikolaev, Lilian M. de Menezes, Evgueni N. Smirnov
2013	—	`conf`	Aggregating Human-Expert Opinions for Multi-Label Classification. HCOMP (Works in Progress / Demos) Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp
2013	Misc	`conf`	Conformity-Based Transfer AdaBoost Algorithm. AIAI Shuang Zhou, Evgueni N. Smirnov, Haitham Bou-Ammar, Ralf Peeters
2013	J	`jnl`	Time-dependent series variance learning with recurrent mixture density networks. Neurocomputing Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
2012	—	`conf`	Analytical factor stochastic volatility modeling for portfolio allocation. CIFEr Nikolay Y. Nikolaev, Evgueni N. Smirnov
2012	A	`conf`	Master Orientation Tool. ECAI Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie
2012	B	`conf`	Similarity Functions for Collaborative Master Recommendations. EDM Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie
2011	—	`ch.`	Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification. Ensembles in Machine Learning Applications Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper
2011	—	`conf`	The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. ICMLA (2) Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov
2011	—	`conf`	Time-Dependent Series Variance Estimation via Recurrent Neural Networks. ICANN (1) Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
2010	—	`conf`	Image Mining for Intelligent Autonomous Coal Mining. ICDM (Poster and Industry Proceedings) Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis
2010	Misc	`conf`	Single-Stacking Conformity Approach to Reliable Classification. AIMSA Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov
2010	A	`conf`	Soft Nearest Convex Hull Classifier. ECAI Georgi I. Nalbantov, Evgueni N. Smirnov
2010	B	`conf`	Unscented grid filtering and elman recurrent networks. IJCNN Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov
2009	—	`conf`	Efficient AdaBoost Region Classification. MLDM Matthijs Moed, Evgueni N. Smirnov
2009	J	`jnl`	Meta-conformity approach to reliable classification. Intell. Data Anal. Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein
2009	J	`jnl`	The ROC isometrics approach to construct reliable classifiers. Intell. Data Anal. Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, H. Jaap van den Herik
2008	—	`conf`	Description Identification and the Consistency Problem. SGAI Conf. Evgueni N. Smirnov, Nikolay Y. Nikolaev, Georgi I. Nalbantov
2008	—	`conf`	Region Classification with Decision Trees. ICDM Workshops J. van Prehn, Evgueni N. Smirnov
2007	—	`conf`	A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. ICANN (1) Nikolay Y. Nikolaev, Evgueni N. Smirnov
2006	—	`conf`	Generalizing Version Space Support Vector Machines for Non-Separable Data. ICDM Workshops Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev
2006	A	`conf`	Meta-Typicalness Approach to Reliable Classification. ECAI Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper
2006	—	`conf`	Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. ICDM Workshops Evgueni N. Smirnov, A. M. Kaptein
2006	A	`conf`	Version Space Support Vector Machines. ECAI Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy
2005	—	`conf`	Reliable Instance Classification with Version Spaces. SGAI Conf. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov
2004	J	`jnl`	A Unifying Version-Space Representation. Ann. Math. Artif. Intell. Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
2004	—	`ch.`	One-Sided Instance-Based Boundary Sets. Database Support for Data Mining Applications Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
2002	—	`conf`	Adaptable Boundary Sets. AI&M Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
2002	Misc	`conf`	Efficient Instance Retraction. AIMSA Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
2002	—	`conf`	New Version-Space Representations for Efficient Instance Retraction. KDID Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
2000	Misc	`conf`	Applying Preference Biases to Conjunctive and Disjunctive Version Spaces. AIMSA Evgueni N. Smirnov, H. Jaap van den Herik
1998	J	`jnl`	A Report on the ECAI-98 Conference from the Machine Learning Perspective. AI Commun. Evgueni N. Smirnov
1998	A	`conf`	Version Space Learning with Instance-Based Boundary Sets. ECAI Evgueni N. Smirnov, Peter J. Braspenning
1998	Misc	`conf`	Version Space Retraction with Instance-Based Boundary Sets. AIMSA Evgueni N. Smirnov, Peter J. Braspenning
1996	A	`conf`	Stochastically Guided Disjunctive Version Space Learning. ECAI Nikolay I. Nikolaev, Evgueni N. Smirnov
1995	—	`conf`	Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). ECML Nikolay I. Nikolaev, Evgueni N. Smirnov
1995	—	`conf`	Multiple Explanation-based Learning Guided by Space Fragmenting. SCAI Evgueni N. Smirnov, Nikolay I. Nikolaev
1992	Misc	`conf`	Space Fragmenting - A Method of Disjunctive Concept Acquisition. AIMSA Evgueni N. Smirnov