Evgueni N. Smirnov

According to our database, Evgueni N. Smirnov authored at least 75 papers between 1992 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Explainable Linguistic Summaries.

Carla Wrede, Mark H. M. Winands, Evgueni N. Smirnov, Anna Wilbik

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Multi-view Semi-supervised Learning Using Privileged Information.

Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev

Proceedings of the Engineering Applications of Neural Networks, 2023

Coverage vs Acceptance-Error Curves for Conformal Classification Models.

Evgueni N. Smirnov

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022

Interpretable and Reliable Rule Classification Based on Conformal Prediction.

Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Conformal Multistep-Ahead Multivariate Time-Series Forecasting.

Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Conformal Decision Rules.

Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021

Shapley-Value Data Valuation for Semi-supervised Learning.

Christie Courtnage, Evgueni N. Smirnov

Proceedings of the Discovery Science - 24th International Conference, 2021

Shapley-value based inductive conformal prediction.

William Lopez Jaramillo, Evgueni N. Smirnov

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

2020

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.

Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Xi Wu

Neurocomputing, 2020

Special Issue on Conformal and Probabilistic Prediction with Applications.

Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters

Neurocomputing, 2020

Valid Prediction Intervals for Course Grades with Conformal Prediction.

Raphaël Morsomme, Evgueni N. Smirnov

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Course Recommender Systems with Statistical Confidence.

Zachary Warnes, Magnus Kinder, Evgueni N. Smirnov

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Conformal Prediction for Students' Grades in a Course Recommender System.

Raphaël Morsomme, Evgueni N. Smirnov

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

Ensembles based on conformal instance transfer.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2019

2018

Heterogeneous Domain Adaptation Based on Class Decomposition Schemes.

Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Ensemble Cross-Conformal Prediction.

Dorian Beganovic, Evgueni N. Smirnov

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Conformal stacked weather forecasting.

Jelmer Neeven, Evgueni N. Smirnov

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Conformal feature-selection wrappers for instance transfer.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Tao Jiang

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Testing exchangeability for transfer decision.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters

Pattern Recognit. Lett., 2017

Conformity-based source subset selection for instance transfer.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters

Neurocomputing, 2017

Conformal decision-tree approach to instance transfer.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters

Ann. Math. Artif. Intell., 2017

Discovering Hidden Course Requirements and Student Competences from Grade Data.

Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.

Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Improving Card Fraud Detection Through Suspicious Pattern Discovery.

Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016

Ranking Accuracy for Logistic-GEE Models.

Nasser Davarzani, Ralf Peeters, Evgueni N. Smirnov, Joël M. H. Karel, Hans-Peter Brunner-La Rocca

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Decision Trees for Instance Transfer.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015

Conformal Region Classification with Instance-Transfer Boosting.

Shuang Zhou, Evgueni Nikolaevich Smirnov, Ralf Peeters

Int. J. Artif. Intell. Tools, 2015

Fractional Programming Weighted Decoding for Error-Correcting Output Codes.

Firat Ismailoglu, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, Sergio Escalera, Ralf Peeters

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Instance-Based Decompositions of Error Correcting Output Codes.

Firat Ismailoglu, Evgueni N. Smirnov, Nikolay Y. Nikolaev, Ralf Peeters

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

A Non-parametric Conformity-Based Test for Transfer Decisions.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Conformal ECOC Machines.

Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Largest Source Subset Selection for Instance Transfer.

Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Inexpensive user tracking using Boltzmann Machines.

Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation.

Nikolay Y. Nikolaev, Lilian M. de Menezes, Evgueni N. Smirnov

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013

Time-dependent series variance learning with recurrent mixture density networks.

Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov

Neurocomputing, 2013

Conformity-Based Transfer AdaBoost Algorithm.

Shuang Zhou, Evgueni N. Smirnov, Haitham Bou-Ammar, Ralf Peeters

Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Aggregating Human-Expert Opinions for Multi-Label Classification.

Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012

Similarity Functions for Collaborative Master Recommendations.

Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie

Proceedings of the 5th International Conference on Educational Data Mining, 2012

Master Orientation Tool.

Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie

Proceedings of the ECAI 2012, 2012

Analytical factor stochastic volatility modeling for portfolio allocation.

Nikolay Y. Nikolaev, Evgueni N. Smirnov

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

Minimally-Sized Balanced Decomposition Schemes for Multi-class Classification.

Evgueni N. Smirnov, Matthijs Moed, Georgi I. Nalbantov, Ida G. Sprinkhuizen-Kuyper

Proceedings of the Ensembles in Machine Learning Applications, 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

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Time-Dependent Series Variance Estimation via Recurrent Neural Networks.

Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

<i>k</i>-Version-Space Multi-class Classification Based on <i>k</i>-Consistency Tests.

Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Image Mining for Intelligent Autonomous Coal Mining.

Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis

Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010

Unscented grid filtering and elman recurrent networks.

Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov

Proceedings of the International Joint Conference on Neural Networks, 2010

Soft Nearest Convex Hull Classifier.

Georgi I. Nalbantov, Evgueni N. Smirnov

Proceedings of the ECAI 2010, 2010

Single-Stacking Conformity Approach to Reliable Classification.

Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov

Proceedings of the Artificial Intelligence: Methodology, 2010

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

Meta-conformity approach to reliable classification.

Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein

Intell. Data Anal., 2009

Efficient AdaBoost Region Classification.

Matthijs Moed, Evgueni N. Smirnov

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

2008

Description Identification and the Consistency Problem.

Evgueni N. Smirnov, Nikolay Y. Nikolaev, Georgi I. Nalbantov

Proceedings of the Research and Development in Intelligent Systems XXV, 2008

Region Classification with Decision Trees.

J. van Prehn, Evgueni N. Smirnov

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems.

Nikolay Y. Nikolaev, Evgueni N. Smirnov

Proceedings of the Artificial Neural Networks, 2007

2006

Generalizing Version Space Support Vector Machines for Non-Separable Data.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification.

Evgueni N. Smirnov, A. M. Kaptein

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Meta-Typicalness Approach to Reliable Classification.

Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Version Space Support Vector Machines.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Reliable Instance Classification with Version Spaces.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov

Proceedings of the Research and Development in Intelligent Systems XXII, 2005

2004

A Unifying Version-Space Representation.

Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper

Ann. Math. Artif. Intell., 2004

One-Sided Instance-Based Boundary Sets.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2002

New Version-Space Representations for Efficient Instance Retraction.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik

Proceedings of the First International Workshop on Inductive Databases, 2002

Adaptable Boundary Sets.

Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2002

Efficient Instance Retraction.

Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik

Proceedings of the Artificial Intelligence: Methodology, 2002

2000

Applying Preference Biases to Conjunctive and Disjunctive Version Spaces.

Evgueni N. Smirnov, H. Jaap van den Herik

Proceedings of the Artificial Intelligence: Methodology, 2000

1998

A Report on the ECAI-98 Conference from the Machine Learning Perspective.

Evgueni N. Smirnov

AI Commun., 1998

Version Space Learning with Instance-Based Boundary Sets.

Evgueni N. Smirnov, Peter J. Braspenning

Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Version Space Retraction with Instance-Based Boundary Sets.

Evgueni N. Smirnov, Peter J. Braspenning

Proceedings of the Artificial Intelligence: Methodology, 1998

1996

Stochastically Guided Disjunctive Version Space Learning.

Nikolay I. Nikolaev, Evgueni N. Smirnov

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995

Multiple Explanation-based Learning Guided by Space Fragmenting.

Evgueni N. Smirnov, Nikolay I. Nikolaev

Proceedings of the Fifth Scandinavian Conference on Artificial Intelligence, 1995

Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract).

Nikolay I. Nikolaev, Evgueni N. Smirnov

Proceedings of the Machine Learning: ECML-95, 1995

1992

Space Fragmenting - A Method of Disjunctive Concept Acquisition.

Evgueni N. Smirnov

Proceedings of the Artificial Intelligence V: Methodology, Systems, Applications, 1992