Evgueni N. Smirnov

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 30

Top Topics

Expert Opinions

Recurrent Neural Network Model

Fractional Programming

Conformal Prediction

Top Venues

Publications

Evgueni N. Smirnov
Coverage vs Acceptance-Error Curves for Conformal Classification Models. COPA (2023)
Evgueni N. Smirnov, Richard Delava, Ron Diris, Nikolay I. Nikolaev
Multi-view Semi-supervised Learning Using Privileged Information. EANN (2023)
Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers
Conformal Decision Rules. COPA (2022)
Filip Schlembach, Evgueni N. Smirnov, Irena Koprinska
Conformal Multistep-Ahead Multivariate Time-Series Forecasting. COPA (2022)
Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters
Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Zachary Warnes, Magnus Kinder, Evgueni N. Smirnov
Course Recommender Systems with Statistical Confidence. EDM (2020)
Raphaël Morsomme, Evgueni N. Smirnov
Valid Prediction Intervals for Course Grades with Conformal Prediction. ICMLA (2020)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Xi Wu
Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance. Neurocomputing 397 (2020)
Alexander Gammerman, Vladimir Vovk, Zhiyuan Luo, Evgueni N. Smirnov, Ralf Peeters
Special Issue on Conformal and Probabilistic Prediction with Applications. Neurocomputing 397 (2020)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers
Ensembles based on conformal instance transfer. COPA (2019)
Raphaël Morsomme, Evgueni N. Smirnov
Conformal Prediction for Students' Grades in a Course Recommender System. COPA (2019)
Nikolay Y. Nikolaev, Evgueni N. Smirnov, Daniel Stamate, Robert Zimmer
A regime-switching recurrent neural network model applied to wind time series. Appl. Soft Comput. 80 (2019)
Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins
Heterogeneous Domain Adaptation Based on Class Decomposition Schemes. PAKDD (1) (2018)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Tao Jiang
Conformal feature-selection wrappers for instance transfer. COPA (2018)
Jelmer Neeven, Evgueni N. Smirnov
Conformal stacked weather forecasting. COPA (2018)
Florian Van Daalen, Evgueni N. Smirnov, Nasser Davarzani, Ralf Peeters, Joël M. H. Karel, Hans-Peter Brunner-La Rocca
An Ensemble Approach to Time Dependent Classification. ICMLA (2018)
Dorian Beganovic, Evgueni N. Smirnov
Ensemble Cross-Conformal Prediction. ICDM Workshops (2018)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
Conformity-based source subset selection for instance transfer. Neurocomputing 258 (2017)
Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) (2017)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
Conformal decision-tree approach to instance transfer. Ann. Math. Artif. Intell. 81 (1-2) (2017)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters
Testing exchangeability for transfer decision. Pattern Recognit. Lett. 88 (2017)
Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens
Discovering Hidden Course Requirements and Student Competences from Grade Data. UMAP (Adjunct Publication) (2017)
Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot
Improving Card Fraud Detection Through Suspicious Pattern Discovery. IEA/AIE (2) (2017)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
Decision Trees for Instance Transfer. COPA (2016)
Nasser Davarzani, Ralf Peeters, Evgueni N. Smirnov, Joël M. H. Karel, Hans-Peter Brunner-La Rocca
Ranking Accuracy for Logistic-GEE Models. IDA (2016)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens
A Non-parametric Conformity-Based Test for Transfer Decisions. ICTAI (2015)
Firat Ismailoglu, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, Sergio Escalera, Ralf Peeters
Fractional Programming Weighted Decoding for Error-Correcting Output Codes. MCS (2015)
Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen
Largest Source Subset Selection for Instance Transfer. ACML (2015)
Firat Ismailoglu, Evgueni N. Smirnov, Nikolay Y. Nikolaev, Ralf Peeters
Instance-Based Decompositions of Error Correcting Output Codes. MCS (2015)
Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters
Conformal ECOC Machines. ICTAI (2015)
Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov
Inexpensive user tracking using Boltzmann Machines. SMC (2014)
Nikolay Y. Nikolaev, Lilian M. de Menezes, Evgueni N. Smirnov
Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation. CIFEr (2014)
Evgueni N. Smirnov, Hua Zhang, Ralf Peeters, Nikolay I. Nikolaev, Maike Imkamp
Aggregating Human-Expert Opinions for Multi-Label Classification. HCOMP (Works in Progress / Demos) (2013)
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
Time-dependent series variance learning with recurrent mixture density networks. Neurocomputing 122 (2013)
Shuang Zhou, Evgueni N. Smirnov, Haitham Bou-Ammar, Ralf Peeters
Conformity-Based Transfer AdaBoost Algorithm. AIAI (2013)
Nikolay Y. Nikolaev, Evgueni N. Smirnov
Analytical factor stochastic volatility modeling for portfolio allocation. CIFEr (2012)
Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie
Master Orientation Tool. ECAI (2012)
Alexandru Surpatean, Evgueni N. Smirnov, Nicolai Manie
Similarity Functions for Collaborative Master Recommendations. EDM (2012)
Nikolay I. Nikolaev, Peter Tiño, Evgueni N. Smirnov
Time-Dependent Series Variance Estimation via Recurrent Neural Networks. ICANN (1) (2011)
Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov
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) (2011)
Georgi I. Nalbantov, Evgueni N. Smirnov, Dilyan I. Nalbantov, Gerhard Weiss, Karl Nienhaus, Manuel Warcholik, Fiona Mavroudis
Image Mining for Intelligent Autonomous Coal Mining. ICDM (Poster and Industry Proceedings) (2010)
Evgueni N. Smirnov, Nikolay I. Nikolaev, Georgi I. Nalbantov
Single-Stacking Conformity Approach to Reliable Classification. AIMSA (2010)
Georgi I. Nalbantov, Evgueni N. Smirnov
Soft Nearest Convex Hull Classifier. ECAI (2010)
Evgueni N. Smirnov, Georgi I. Nalbantov, Nikolay I. Nikolaev
-Consistency Tests. ECML/PKDD (3) (2010)
Nikolay Y. Nikolaev, Derrick Takeshi Mirikitani, Evgueni N. Smirnov
Unscented grid filtering and elman recurrent networks. IJCNN (2010)
Evgueni N. Smirnov, Georgi I. Nalbantov, A. M. Kaptein
Meta-conformity approach to reliable classification. Intell. Data Anal. 13 (6) (2009)
Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper, Evgueni N. Smirnov, H. Jaap van den Herik
The ROC isometrics approach to construct reliable classifiers. Intell. Data Anal. 13 (1) (2009)
Matthijs Moed, Evgueni N. Smirnov
Efficient AdaBoost Region Classification. MLDM (2009)
Evgueni N. Smirnov, Nikolay Y. Nikolaev, Georgi I. Nalbantov
Description Identification and the Consistency Problem. SGAI Conf. (2008)
J. van Prehn, Evgueni N. Smirnov
Region Classification with Decision Trees. ICDM Workshops (2008)
Nikolay Y. Nikolaev, Evgueni N. Smirnov
A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. ICANN (1) (2007)
Evgueni N. Smirnov, A. M. Kaptein
Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. ICDM Workshops (2006)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov, Stijn Vanderlooy
Version Space Support Vector Machines. ECAI (2006)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev
Generalizing Version Space Support Vector Machines for Non-Separable Data. ICDM Workshops (2006)
Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper
Meta-Typicalness Approach to Reliable Classification. ECAI (2006)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi I. Nalbantov
Reliable Instance Classification with Version Spaces. SGAI Conf. (2005)
Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
A Unifying Version-Space Representation. Ann. Math. Artif. Intell. 41 (1) (2004)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
New Version-Space Representations for Efficient Instance Retraction. KDID (2002)
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
Efficient Instance Retraction. AIMSA (2002)
Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
Adaptable Boundary Sets. AI&M (2002)
Evgueni N. Smirnov, H. Jaap van den Herik
Applying Preference Biases to Conjunctive and Disjunctive Version Spaces. AIMSA (2000)
Evgueni N. Smirnov
A Report on the ECAI-98 Conference from the Machine Learning Perspective. AI Commun. 11 (3-4) (1998)
Evgueni N. Smirnov, Peter J. Braspenning
Version Space Retraction with Instance-Based Boundary Sets. AIMSA (1998)
Evgueni N. Smirnov, Peter J. Braspenning
Version Space Learning with Instance-Based Boundary Sets. ECAI (1998)
Nikolay I. Nikolaev, Evgueni N. Smirnov
Stochastically Guided Disjunctive Version Space Learning. ECAI (1996)
Evgueni N. Smirnov, Nikolay I. Nikolaev
Multiple Explanation-based Learning Guided by Space Fragmenting. SCAI (1995)
Nikolay I. Nikolaev, Evgueni N. Smirnov
Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). ECML (1995)
Evgueni N. Smirnov
Space Fragmenting - A Method of Disjunctive Concept Acquisition. AIMSA (1992)