Nikita A. Sakhanenko

28 papers Misc 2Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Optimized permutation testing for information theoretic measures of multi-gene interactions. BMC Bioinform. James M. Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
2021	J	`jnl`	Toward an Information Theory of Quantitative Genetics. J. Comput. Biol. David J. Galas, James Kunert-Graf, Lisa Uechi, Nikita A. Sakhanenko
2020	J	`jnl`	Partial Information Decomposition and the Information Delta: A Geometric Unification Disentangling Non-Pairwise Information. Entropy James Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
2019	J	`jnl`	Multivariate Analysis of Data Sets with Missing Values: An Information Theory-Based Reliability Function. J. Comput. Biol. Lisa Uechi, David J. Galas, Nikita A. Sakhanenko
2019	J	`jnl`	Symmetries among Multivariate Information Measures Explored Using Möbius Operators. Entropy David J. Galas, Nikita A. Sakhanenko
2017	J	`jnl`	Complexity and Vulnerability Analysis of the Entropy James Kunert-Graf, Nikita A. Sakhanenko, David J. Galas
2017	J	`jnl`	Expansion of the Kullback-Leibler Divergence, and a New Class of Information Metrics. Axioms David J. Galas, T. Gregory Dewey, James Kunert-Graf, Nikita A. Sakhanenko
2017	J	`jnl`	Expansion of the Kullback-Leibler Divergence, and a new class of information metrics. CoRR David J. Galas, T. Gregory Dewey, James Kunert-Graf, Nikita A. Sakhanenko
2017	J	`jnl`	The Information Content of Discrete Functions and Their Application in Genetic Data Analysis. J. Comput. Biol. Nikita A. Sakhanenko, James Kunert-Graf, David J. Galas
2016	J	`jnl`	Unifying formalism for multivariate information-related measures: Möbius operators on subset lattices. CoRR David J. Galas, Nikita A. Sakhanenko
2015	J	`jnl`	Biological Data Analysis as an Information Theory Problem: Multivariable Dependence Measures and the Shadows Algorithm. J. Comput. Biol. Nikita A. Sakhanenko, David J. Galas
2014	J	`jnl`	Describing the Complexity of Systems: Multivariable "Set Complexity" and the Information Basis of Systems Biology. J. Comput. Biol. David J. Galas, Nikita A. Sakhanenko, Alexander Skupin, Tomasz M. Ignac
2013	J	`jnl`	Describing the complexity of systems: Multi-variable "set complexity" and hypergraphs CoRR David J. Galas, Nikita A. Sakhanenko, Alexander Skupin, Tomasz M. Ignac
2013	J	`jnl`	On Lattices and the Dualities of Information Measures. CoRR David J. Galas, Nikita A. Sakhanenko, Benjamin Keller
2012	J	`jnl`	Complexity of networks II: The set complexity of edge-colored graphs. Complex. Tomasz M. Ignac, Nikita A. Sakhanenko, David J. Galas
2012	J	`jnl`	Probabilistic Logic Methods and Some Applications to Biology and Medicine. J. Comput. Biol. Nikita A. Sakhanenko, David J. Galas
2012	J	`jnl`	Relations between the set-complexity and the structure of graphs and their sub-graphs. EURASIP J. Bioinform. Syst. Biol. Tomasz M. Ignac, Nikita A. Sakhanenko, David J. Galas
2011	J	`jnl`	Complexity of networks I: The set-complexity of binary graphs. Complex. Nikita A. Sakhanenko, David J. Galas
2010	J	`jnl`	Markov Logic Networks in the Analysis of Genetic Data. J. Comput. Biol. Nikita A. Sakhanenko, David J. Galas
2010	J	`jnl`	Model Failure and Context Switching Using Logic-Based Stochastic Models. J. Comput. Sci. Technol. Nikita A. Sakhanenko, George F. Luger
2009	J	`jnl`	Predictions and Diagnostics in Experimental Data Using Support Vector Regression. Int. J. Artif. Intell. Tools Nikita A. Sakhanenko, George F. Luger, Hanna E. Makaruk, David B. Holtkamp
2008	Misc	`conf`	A New Approach to Model-Based Diagnosis Using Probabilistic Logic. FLAIRS Nikita A. Sakhanenko, Roshan Rammohan, George F. Luger, Carl R. Stern
2007	—	`conf`	A Context-Partitioned Stochastic Modeling System with Causally Informed Context Management and Model Induction. IICAI Nikita A. Sakhanenko, Roshan Rammohan, George F. Luger, Carl R. Stern
2007	Misc	`conf`	Managing Dynamic Contexts Using Failure-Driven Stochastic Models. FLAIRS Nikita A. Sakhanenko, George F. Luger, Carl R. Stern
2006	J	`jnl`	Application of Support Vector Regression to Interpolation of Sparse Shock Physics Data Sets CoRR Nikita A. Sakhanenko, George F. Luger, Hanna E. Makaruk, David B. Holtkamp
2005	J	`jnl`	Systematic Method for Path-Complete White Box Testing CoRR Hanna E. Makaruk, Robert Owczarek, Nikita A. Sakhanenko
2005	J	`jnl`	Understanding physics from interconnected data CoRR Nikita A. Sakhanenko, Hanna E. Makaruk
2003	—	`conf`	Automatic Generation of Generalization Lemmas for Proving Properties of Tail-Recursive Definitions. TPHOLs Deepak Kapur, Nikita A. Sakhanenko