Space Fragmenting - A Method of Disjunctive Concept Acquisition. - Evgueni N. Smirnov (AIMSA, 1992)

Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). - Nikolay I. Nikolaev; Evgueni N. Smirnov (ECML, 1995)

Multiple Explanation-based Learning Guided by Space Fragmenting. - Evgueni N. Smirnov; Nikolay I. Nikolaev (SCAI, 1995)

Stochastically Guided Disjunctive Version Space Learning. - Nikolay I. Nikolaev; Evgueni N. Smirnov (ECAI, 1996)

Version Space Retraction with Instance-Based Boundary Sets. - Evgueni N. Smirnov; Peter J. Braspenning (AIMSA, 1998)

Version Space Learning with Instance-Based Boundary Sets. - Evgueni N. Smirnov; Peter J. Braspenning (ECAI, 1998)

A Report on the ECAI-98 Conference from the Machine Learning Perspective. - Evgueni N. Smirnov (AI Commun., 1998)

Applying Preference Biases to Conjunctive and Disjunctive Version Spaces. - Evgueni N. Smirnov; H. Jaap van den Herik (AIMSA, 2000)

Efficient Instance Retraction. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; H. Jaap van den Herik (AIMSA, 2002)

Adaptable Boundary Sets. - Evgueni N. Smirnov; H. Jaap van den Herik; Ida G. Sprinkhuizen-Kuyper (AI&M, 2002)

New Version-Space Representations for Efficient Instance Retraction. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; H. Jaap van den Herik (KDID, 2002)

One-Sided Instance-Based Boundary Sets. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; H. Jaap van den Herik (Database Support for Data Mining Applications, 2004)

A Unifying Version-Space Representation. - Evgueni N. Smirnov; H. Jaap van den Herik; Ida G. Sprinkhuizen-Kuyper (Ann. Math. Artif. Intell., 2004)

Reliable Instance Classification with Version Spaces. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; Georgi I. Nalbantov (SGAI Conf., 2005)

Version Space Support Vector Machines. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; Georgi I. Nalbantov; Stijn Vanderlooy (ECAI, 2006)

Meta-Typicalness Approach to Reliable Classification. - Evgueni N. Smirnov; Stijn Vanderlooy; Ida G. Sprinkhuizen-Kuyper (ECAI, 2006)

Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. - Evgueni N. Smirnov; A. M. Kaptein (ICDM Workshops, 2006)

Generalizing Version Space Support Vector Machines for Non-Separable Data. - Evgueni N. Smirnov; Ida G. Sprinkhuizen-Kuyper; Nikolay I. Nikolaev (ICDM Workshops, 2006)

A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. - Nikolay Y. Nikolaev; Evgueni N. Smirnov (ICANN (1), 2007)

Region Classification with Decision Trees. - J. van Prehn; Evgueni N. Smirnov (ICDM Workshops, 2008)

Description Identification and the Consistency Problem. - Evgueni N. Smirnov; Nikolay Y. Nikolaev; Georgi I. Nalbantov (SGAI Conf., 2008)

Efficient AdaBoost Region Classification. - Matthijs Moed; Evgueni N. Smirnov (MLDM, 2009)

Meta-conformity approach to reliable classification. - Evgueni N. Smirnov; Georgi I. Nalbantov; A. M. Kaptein (Intell. Data Anal., 2009)

The ROC isometrics approach to construct reliable classifiers. - Stijn Vanderlooy; Ida G. Sprinkhuizen-Kuyper; Evgueni N. Smirnov; H. Jaap van den Herik (Intell. Data Anal., 2009)

Single-Stacking Conformity Approach to Reliable Classification. - Evgueni N. Smirnov; Nikolay I. Nikolaev; Georgi I. Nalbantov (AIMSA, 2010)

Soft Nearest Convex Hull Classifier. - Georgi I. Nalbantov; Evgueni N. Smirnov (ECAI, 2010)

Unscented grid filtering and elman recurrent networks. - Nikolay Y. Nikolaev; Derrick Takeshi Mirikitani; Evgueni N. Smirnov (IJCNN, 2010)

Image Mining for Intelligent Autonomous Coal Mining. - Georgi I. Nalbantov; Evgueni N. Smirnov; Dilyan I. Nalbantov; Gerhard Weiss 001; Karl Nienhaus; Manuel Warcholik; Fiona Mavroudis (ICDM (Poster and Industry Proceedings), 2010)

k-Version-Space Multi-class Classification Based on k-Consistency Tests. - Evgueni N. Smirnov; Georgi I. Nalbantov; Nikolay I. Nikolaev (ECML/PKDD (3), 2010)

Time-Dependent Series Variance Estimation via Recurrent Neural Networks. - Nikolay I. Nikolaev; Peter Tiño; Evgueni N. Smirnov (ICANN (1), 2011)

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. - Georgi I. Nalbantov; Andre Dekker; Dirk De Ruysscher; Philippe Lambin; Evgueni N. Smirnov (ICMLA (2), 2011)

Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification. - Evgueni N. Smirnov; Matthijs Moed; Georgi I. Nalbantov; Ida G. Sprinkhuizen-Kuyper (Ensembles in Machine Learning Applications, 2011)

Analytical factor stochastic volatility modeling for portfolio allocation. - Nikolay Y. Nikolaev; Evgueni N. Smirnov (CIFEr, 2012)

Master Orientation Tool. - Alexandru Surpatean; Evgueni N. Smirnov; Nicolai Manie (ECAI, 2012)

Similarity Functions for Collaborative Master Recommendations. - Alexandru Surpatean; Evgueni N. Smirnov; Nicolai Manie (EDM, 2012)

Aggregating Human-Expert Opinions for Multi-Label Classification. - Evgueni N. Smirnov; Hua Zhang; Ralf Peeters; Nikolay I. Nikolaev; Maike Imkamp (HCOMP (Works in Progress / Demos), 2013)

Conformity-Based Transfer AdaBoost Algorithm. - Shuang Zhou 001; Evgueni N. Smirnov; Haitham Bou-Ammar; Ralf Peeters (AIAI, 2013)

Time-dependent series variance learning with recurrent mixture density networks. - Nikolay I. Nikolaev; Peter Tiño; Evgueni N. Smirnov (Neurocomputing, 2013)

Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation. - Nikolay Y. Nikolaev; Lilian M. de Menezes; Evgueni N. Smirnov (CIFEr, 2014)

Inexpensive user tracking using Boltzmann Machines. - Elena Mocanu; Decebal Constantin Mocanu; Haitham Bou-Ammar; Zoran Zivkovic; Antonio Liotta; Evgueni N. Smirnov (SMC, 2014)

Largest Source Subset Selection for Instance Transfer. - Shuang Zhou 001; Gijs Schoenmakers; Evgueni N. Smirnov; Ralf Peeters; Kurt Driessens; Siqi Chen 001 (ACML, 2015)

Conformal ECOC Machines. - Firat Ismailoglu; Evgueni N. Smirnov; Ralf Peeters (ICTAI, 2015)

A Non-parametric Conformity-Based Test for Transfer Decisions. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters; Kurt Driessens (ICTAI, 2015)

Instance-Based Decompositions of Error Correcting Output Codes. - Firat Ismailoglu; Evgueni N. Smirnov; Nikolay Y. Nikolaev; Ralf Peeters (MCS, 2015)

Fractional Programming Weighted Decoding for Error-Correcting Output Codes. - Firat Ismailoglu; Ida G. Sprinkhuizen-Kuyper; Evgueni N. Smirnov; Sergio Escalera; Ralf Peeters (MCS, 2015)

Conformal Region Classification with Instance-Transfer Boosting. - Shuang Zhou 001; Evgueni Nikolaevich Smirnov; Ralf Peeters (Int. J. Artif. Intell. Tools, 2015)

Decision Trees for Instance Transfer. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters (COPA, 2016)

Ranking Accuracy for Logistic-GEE Models. - Nasser Davarzani; Ralf Peeters; Evgueni N. Smirnov; Joël M. H. Karel; Hans-Peter Brunner-La Rocca (IDA, 2016)

Improving Card Fraud Detection Through Suspicious Pattern Discovery. - Fabian Braun; Olivier Caelen; Evgueni N. Smirnov; Steven Kelk; Bertrand Lebichot (IEA/AIE (2), 2017)

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. - Kurt Driessens; Irena Koprinska; Olga C. Santos; Evgueni N. Smirnov; Kalina Yacef; Osmar R. Zaïane (UMAP (Adjunct Publication), 2017)

Discovering Hidden Course Requirements and Student Competences from Grade Data. - Mara Houbraken; Chang Sun 001; Evgueni N. Smirnov; Kurt Driessens (UMAP (Adjunct Publication), 2017)

Conformal decision-tree approach to instance transfer. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters (Ann. Math. Artif. Intell., 2017)

Conformity-based source subset selection for instance transfer. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters (Neurocomputing, 2017)

Testing exchangeability for transfer decision. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Kurt Driessens; Ralf Peeters (Pattern Recognit. Lett., 2017)

Conformal feature-selection wrappers for instance transfer. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters; Tao Jiang (COPA, 2018)

Conformal stacked weather forecasting. - Jelmer Neeven; Evgueni N. Smirnov (COPA, 2018)

Ensemble Cross-Conformal Prediction. - Dorian Beganovic; Evgueni N. Smirnov (ICDM Workshops, 2018)

An Ensemble Approach to Time Dependent Classification. - Florian Van Daalen; Evgueni N. Smirnov; Nasser Davarzani; Ralf Peeters; Joël M. H. Karel; Hans-Peter Brunner-La Rocca (ICMLA, 2018)

Heterogeneous Domain Adaptation Based on Class Decomposition Schemes. - Firat Ismailoglu; Evgueni N. Smirnov; Ralf Peeters; Shuang Zhou 001; Pieter Collins (PAKDD (1), 2018)

Ensembles based on conformal instance transfer. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers (COPA, 2019)

Conformal Prediction for Students' Grades in a Course Recommender System. - Raphaël Morsomme; Evgueni N. Smirnov (COPA, 2019)

A regime-switching recurrent neural network model applied to wind time series. - Nikolay Y. Nikolaev; Evgueni N. Smirnov; Daniel Stamate; Robert Zimmer (Appl. Soft Comput., 2019)

Course Recommender Systems with Statistical Confidence. - Zachary Warnes; Magnus Kinder; Evgueni N. Smirnov (EDM, 2020)

Valid Prediction Intervals for Course Grades with Conformal Prediction. - Raphaël Morsomme; Evgueni N. Smirnov (ICMLA, 2020)

Special Issue on Conformal and Probabilistic Prediction with Applications. - Alex Gammerman; Vladimir Vovk; Zhiyuan Luo 001; Evgueni N. Smirnov; Ralf Peeters (Neurocomputing, 2020)

Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance. - Shuang Zhou 001; Evgueni N. Smirnov; Gijs Schoenmakers; Ralf Peeters; Xi Wu 004 (Neurocomputing, 2020)

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. - Firat Ismailoglu; Rachel Cavill; Evgueni N. Smirnov; Shuang Zhou 001; Pieter Collins; Ralf Peeters (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Shapley-value based inductive conformal prediction. - William Lopez Jaramillo; Evgueni N. Smirnov (COPA, 2021)

Shapley-Value Data Valuation for Semi-supervised Learning. - Christie Courtnage; Evgueni N. Smirnov (DS, 2021)

Conformal Decision Rules. - Husam Abdelqader; Evgueni N. Smirnov; Marc Pont; Marciano Geijselaers (COPA, 2022)

Conformal Multistep-Ahead Multivariate Time-Series Forecasting. - Filip Schlembach; Evgueni N. Smirnov; Irena Koprinska (COPA, 2022)

Interpretable and Reliable Rule Classification Based on Conformal Prediction. - Husam Abdelqader; Evgueni N. Smirnov; Marc Pont; Marciano Geijselaers (PKDD/ECML Workshops (1), 2022)

Coverage vs Acceptance-Error Curves for Conformal Classification Models. - Evgueni N. Smirnov (COPA, 2023)

Multi-view Semi-supervised Learning Using Privileged Information. - Evgueni N. Smirnov; Richard Delava; Ron Diris; Nikolay I. Nikolaev (EANN, 2023)

Towards Explainable Linguistic Summaries. - Carla Wrede; Mark H. M. Winands; Evgueni N. Smirnov; Anna Wilbik (FUZZ, 2023)

Dynamic Conformal Prediction for Multi-Target Regression: Optimising Informational Efficiency under Joint Validity. - Filip Schlembach; Evgueni N. Smirnov; Mark H. M. Winands (COPA, 2025)

Conformal multistep-ahead multivariate time-series forecasting. - Filip Schlembach; Evgueni N. Smirnov; Irena Koprinska; Mark H. M. Winands (Mach. Learn., 2025)