Mark A. Kon

46 papers B 1C 5Journal 33Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Feature Network Methods in Machine Learning and Applications.
CoRR
Xinying Mu, Mark A. Kon
2024 J jnl
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records.
IEEE Trans. Big Data
Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
2023 J jnl
Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation.
CoRR
Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
2023 J jnl
Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains.
CoRR
Trevor Norton, Jie Xu, Brian Choi, Mark A. Kon, Julio Enrique Castrillón-Candás
2022 J jnl
Anomaly detection: A functional analysis perspective.
J. Multivar. Anal.
Julio Enrique Castrillón-Candás, Mark A. Kon
2022 J jnl
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder.
Entropy
Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon
2022 J jnl
Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection.
CoRR
Julio Enrique Castrillón-Candás, Mark A. Kon
2022 J jnl
Wavelet matrix operations and quantum transforms.
Appl. Math. Comput.
Zhiguo Zhang, Mark A. Kon
2021 J jnl
Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation.
CoRR
Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
2021 J jnl
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records.
CoRR
Xiaoyu Wang, Wenrui Li, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
2021 J jnl
Stochastic functional analysis with applications to robust machine learning.
CoRR
Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon
2020 J jnl
Analytic regularity and stochastic collocation of high-dimensional Newton iterates.
Adv. Comput. Math.
Julio Enrique Castrillón-Candás, Mark A. Kon
2020 J jnl
General methods and properties to evaluate continuum limits of the 1D discrete time quantum walk.
Quantum Inf. Process.
Michael Manighalam, Mark A. Kon
2020 J jnl
Interpolatory filter banks and interpolatory wavelet packets.
J. Comput. Appl. Math.
Zhiguo Zhang, Mark A. Kon
2019 J jnl
Bifurcation Curves of Two-Dimensional Quantum Walks.
CoRR
Parker Kuklinski, Mark A. Kon
2019 J jnl
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder.
CoRR
Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon
2018 J jnl
Absorption probabilities of quantum walks.
Quantum Inf. Process.
Parker Kuklinski, Mark A. Kon
2017 J jnl
Comparisons of cancer classifiers based on RNA_seq and miRNA_seq.
Int. J. Data Min. Bioinform.
Shinuk Kim, Hyowon Lee, Mark A. Kon
2017 J jnl
Wavelet sampling and generalization in neural networks.
Neurocomputing
Zhiguo Zhang, Mark A. Kon
2016 C conf
Differentiation and Integration of Machine Learning Feature Vectors.
ICMLA
Xinying Mu, Ana Brândusa Pavel, Mark A. Kon
2016 J jnl
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients.
Sensors
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
2016 — conf
Some comparisons of gene expression classifiers.
BIBM
Shinuk Kim, Mark A. Kon, Hyowon Lee
2015 C conf
Class Discovery via Bimodal Feature Selection in Unsupervised Settings.
ICMLA
Jessica Curtis, Mark A. Kon
2015 J jnl
On Relating Interpolatory Wavelets to Interpolatory Scaling Functions in Multiresolution Analyses.
Circuits Syst. Signal Process.
Zhiguo Zhang, Mark A. Kon
2014 J jnl
Cancer survival classification using integrated data sets and intermediate information.
Artif. Intell. Medicine
Shinuk Kim, Taesung Park, Mark A. Kon
2014 — conf
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.
MICAI (2)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
2013 — conf
Computational methods for cancer survival classification using intermediate information.
IWBBIO
Shinuk Kim, Taesung Park, Mark A. Kon
2012 J jnl
On Some Integrated Approaches to Inference
CoRR
Mark A. Kon, Leszek Plaskota
2011 — conf
Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes.
ICMLA (2)
Mark A. Kon, Nikolay Nikolaev
2011 J jnl
Top Scoring Pairs for Feature Selection in Machine Learning and Applications to Cancer Outcome Prediction.
BMC Bioinform.
Ping Shi, Surajit Ray, Qifu Zhu, Mark A. Kon
2010 C conf
Smoothing Gene Expression Using Biological Networks.
ICMLA
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
2008 C conf
Ensemble Machine Methods for DNA Binding.
ICMLA
Yue Fan, Mark A. Kon, Charles DeLisi
2007 B conf
Learning Methods for DNA Binding in Computational Biology.
IJCNN
Mark A. Kon, Dustin T. Holloway, Yue Fan, Chaitanya Sai, Charles DeLisi
2007 C conf
SVMotif: A Machine Learning Motif Algorithm.
ICMLA
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles DeLisi
2006 J jnl
Machine learning methods for transcription data integration.
IBM J. Res. Dev.
Dustin T. Holloway, Mark A. Kon, Charles DeLisi
2005 J jnl
Information-based nonlinear approximation: an average case setting.
J. Complex.
Mark A. Kon, Leszek Plaskota
2005 — conf
Machine Learning and Statistical MAP Methods.
Intelligent Information Systems
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
2005 — conf
Statistical Likelihood Representations of Prior Knowledge in Machine Learning.
Artificial Intelligence and Applications
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
2001 J jnl
Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach.
J. Complex.
Mark A. Kon, Leszek Plaskota
2000 J jnl
Information complexity of neural networks.
Neural Networks
Mark A. Kon, Leszek Plaskota
1994 J jnl
On the delta->0 Limit in Probabilistic Complexity.
J. Complex.
Mark A. Kon
1991 J jnl
Linearity of algorithms and a result of Ando.
J. Complex.
Mark A. Kon, Roberto Tempo
1991 — ch.
On the Almost Sure Limit of Probabilistic Recovery.
Curves and Surfaces
Mark A. Kon
1991 J jnl
On the average case solvability of III-posed problems.
J. Complex.
Mark A. Kon, Klaus Ritter, Arthur G. Werschulz
1989 J jnl
On linearity of spline algorithms.
J. Complex.
Mark A. Kon, Roberto Tempo
1989 J jnl
On the adaptive and continuous information problems.
J. Complex.
Mark A. Kon, Erich Novak