Igor Chikalov

Orcid: 0000-0002-1010-6605

According to our database1, Igor Chikalov authored at least 76 papers between 1997 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Decision Trees with Hypotheses for Recognition of Monotone Boolean Functions and for Sorting.
CoRR, 2022

Greedy Algorithms for Decision Trees with Hypotheses.
CoRR, 2022

2021
Decision Rules Derived from Optimal Decision Trees with Hypotheses.
Entropy, 2021

Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses.
Entropy, 2021

Minimizing Depth of Decision Trees with Hypotheses.
Proceedings of the Rough Sets - International Joint Conference, 2021

Minimizing Number of Nodes in Decision Trees with Hypotheses.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Sorting by Decision Trees with Hypotheses (extended abstract).
Proceedings of the 29th International Workshop on Concurrency, 2021

2020
Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions
Intelligent Systems Reference Library 156, Springer, ISBN: 978-3-030-12853-1, 2020

Representation of Knowledge by Decision Trees for Decision Tables with Multiple Decisions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019
Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining
Intelligent Systems Reference Library 146, Springer, ISBN: 978-3-319-91838-9, 2019

Decision Trees for Knowledge Representation (short paper).
Proceedings of the 28th International Workshop on Concurrency, 2019

2018
Bi-criteria optimization of decision trees with applications to data analysis.
Eur. J. Oper. Res., 2018

Bi-criteria optimization problems for decision rules.
Ann. Oper. Res., 2018

2016
Dynamic Programming Approach for Construction of Association Rule Systems.
Fundam. Informaticae, 2016

Totally optimal decision trees for Boolean functions.
Discret. Appl. Math., 2016

Decision trees with minimum average depth for sorting eight elements.
Discret. Appl. Math., 2016

2015
Three Approaches to Deal with Tests for Inconsistent Decision Tables - Comparative Study.
Trans. Rough Sets, 2015

Diagnosis of constant faults in read-once contact networks over finite bases.
Discret. Appl. Math., 2015

Multi-pruning of decision trees for knowledge representation and classification.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Optimization of Decision Rules Based on Dynamic Programming Approach.
Proceedings of the Innovations in Intelligent Machines-4, 2014

Relationships between Average Depth and Number of Misclassifications for Decision Trees.
Fundam. Informaticae, 2014

Relationships Between Length and Coverage of Decision Rules.
Fundam. Informaticae, 2014

Diagnosis of constant faults in iteration-free circuits over monotone basis.
Discret. Appl. Math., 2014

Decision Rule Classifiers for Multi-label Decision Tables.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

Comparison of Heuristics for Inhibitory Rule Optimization.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

2013
Relationships for Cost and Uncertainty of Decision Trees.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Dynamic Programming Approach for Exact Decision Rule Optimization.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Comparison of Greedy Algorithms for Decision Tree Optimization.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Three Approaches to Data Analysis - Test Theory, Rough Sets and Logical Analysis of Data
Intelligent Systems Reference Library 41, Springer, ISBN: 978-3-642-28666-7, 2013

Dynamic programming approach to optimization of approximate decision rules.
Inf. Sci., 2013

Optimization and analysis of decision trees and rules: dynamic programming approach.
Int. J. Gen. Syst., 2013

A Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions - A Comparative Study.
Fundam. Informaticae, 2013

Classifiers Based on Optimal Decision Rules.
Fundam. Informaticae, 2013

Optimization of Decision Rule Complexity for Decision Tables with Many-Valued Decisions.
Proceedings of the IEEE International Conference on Systems, 2013

Sequential Optimization of Approximate Inhibitory Rules Relative to the Length, Coverage and Number of Misclassifications.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Totally Optimal Decision Trees for Monotone Boolean Functions with at Most Five Variables.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Decision Rules, Trees and Tests for Tables with Many-valued Decisions-comparative Study.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

An algorithm for reduct cardinality minimization.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012
Greedy Algorithms for Construction of Approximate Tests for Decision Tables with Many-Valued Decisions.
Fundam. Informaticae, 2012

Dynamic Programming Approach for Partial Decision Rule Optimization.
Fundam. Informaticae, 2012

Optimization of Inhibitory Decision Rules Relative to Length and Coverage.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Relationships between Number of Nodes and Number of Misclassifications for Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

On Cost and Uncertainty of Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches.
Proceedings of the Knowledge Engineering, Machine Learning and Lattice Computing with Applications, 2012

Optimization of Approximate Decision Rules Relative to Number of Misclassifications.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Length and Coverage of Inhibitory Decision Rules.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

Tests for Decision Tables with Many-Valued Decisions - Comparative Study.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

Average Depth and Number of Misclassifications for Decision Trees.
Proceedings of the 21th International Workshop on Concurrency, 2012

Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions.
Proceedings of the 21th International Workshop on Concurrency, 2012

Relationships Between Length and Coverage of Exact Decision Rules.
Proceedings of the 21th International Workshop on Concurrency, 2012

2011
Average Time Complexity of Decision Trees
Intelligent Systems Reference Library 21, Springer, ISBN: 978-3-642-22660-1, 2011

Sequential Optimization of Paths in Directed Graphs Relative to Different Cost Functions.
Proceedings of the International Conference on Computational Science, 2011

Learning Probabilistic Models of Hydrogen Bond Stability from Molecular Dynamics Simulation Trajectories.
J. Intell. Learn. Syst. Appl., 2011

Sequential Optimization of Matrix Chain Multiplication Relative to Different Cost Functions.
Proceedings of the SOFSEM 2011: Theory and Practice of Computer Science, 2011

Decision Rules for Decision Tables with Many-Valued Decisions.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Constructing an Optimal Decision Tree for FAST Corner Point Detection.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Comparison of Greedy Algorithms for α-Decision Tree Construction.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Online Learning Algorithm for Ensemble of Decision Rules.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Relationships between Depth and Number of Misclassifications for Decision Trees.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Comparison of Greedy Algorithms for Decision Tree Construction.
Proceedings of the KDIR 2011, 2011

Sequential Optimization of Binary Search Trees for Multiple Cost Functions.
Proceedings of the Seventeenth Computing: The Australasian Theory Symposium, 2011

2010
A Tool for Study of Optimal Decision Trees.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

On Algorithm for Building of Optimal <i>alpha</i>-Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

2005
On Optimization of Decision Trees.
Trans. Rough Sets, 2005

2004
Consecutive Optimization of Decision Trees Concerning Various Complexity Measures.
Fundam. Informaticae, 2004

Providing common I/O clock for wireless distributed platforms.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Distributed array of synchronized sensors and actuators.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2002
On Average Depth of Decision Trees Implementing Boolean Functions.
Fundam. Informaticae, 2002

2000
On Algorithm for Constructing of Decision Trees with Minimal Depth.
Fundam. Informaticae, 2000

On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

1999
On Average Time Complexity of Decision Trees and Branching Programs.
Fundam. Informaticae, 1999

1998
On Decision Trees with Minimal Average Depth.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

1997
Bounds on Average Weighted Depth of Decision Trees.
Fundam. Informaticae, 1997


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