Mark A. Kon

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 22

Top Topics

Functional Analysis

Top Venues

Quantum Inf. Process.

Artif. Intell. Medicine

Publications

Wenrui Li, Xiaoyu Wang, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. IEEE Trans. Big Data 10 (2) (2024)
Xinying Mu, Mark A. Kon
Feature Network Methods in Machine Learning and Applications. CoRR (2024)
Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation. CoRR (2023)
Trevor Norton, Jie Xu, Brian Choi, Mark A. Kon, Julio Enrique Castrillón-Candás
Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains. CoRR (2023)
Zhiguo Zhang, Mark A. Kon
Wavelet matrix operations and quantum transforms. Appl. Math. Comput. 428 (2022)
Julio Enrique Castrillón-Candás, Mark A. Kon
Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection. CoRR (2022)
Julio Enrique Castrillón-Candás, Mark A. Kon
Anomaly detection: A functional analysis perspective. J. Multivar. Anal. 189 (2022)
Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. Entropy 24 (3) (2022)
Xiaoyu Wang, Wenrui Li, Yuetian Sun, Snezana Milanovic, Mark A. Kon, Julio Enrique Castrillón-Candás
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. CoRR (2021)
Brian Choi, Jie Xu, Trevor Norton, Mark A. Kon, Julio Enrique Castrillón-Candás
Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation. CoRR (2021)
Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon
Stochastic functional analysis with applications to robust machine learning. CoRR (2021)
Julio Enrique Castrillón-Candás, Mark A. Kon
Analytic regularity and stochastic collocation of high-dimensional Newton iterates. Adv. Comput. Math. 46 (3) (2020)
Michael Manighalam, Mark A. Kon
General methods and properties to evaluate continuum limits of the 1D discrete time quantum walk. Quantum Inf. Process. 19 (10) (2020)
Zhiguo Zhang, Mark A. Kon
Interpolatory filter banks and interpolatory wavelet packets. J. Comput. Appl. Math. 374 (2020)
Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. CoRR (2019)
Parker Kuklinski, Mark A. Kon
Bifurcation Curves of Two-Dimensional Quantum Walks. CoRR (2019)
Parker Kuklinski, Mark A. Kon
Absorption probabilities of quantum walks. Quantum Inf. Process. 17 (10) (2018)
Zhiguo Zhang, Mark A. Kon
Wavelet sampling and generalization in neural networks. Neurocomputing 267 (2017)
Shinuk Kim, Hyowon Lee, Mark A. Kon
Comparisons of cancer classifiers based on RNA_seq and miRNA_seq. Int. J. Data Min. Bioinform. 17 (4) (2017)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela, Dariusz M. Koziorowski
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients. Sensors 16 (9) (2016)
Xinying Mu, Ana B. Pavel, Mark A. Kon
Differentiation and Integration of Machine Learning Feature Vectors. ICMLA (2016)
Shinuk Kim, Mark A. Kon, Hyowon Lee
Some comparisons of gene expression classifiers. BIBM (2016)
Jessica Curtis, Mark A. Kon
Class Discovery via Bimodal Feature Selection in Unsupervised Settings. ICMLA (2015)
Zhiguo Zhang, Mark A. Kon
On Relating Interpolatory Wavelets to Interpolatory Scaling Functions in Multiresolution Analyses. Circuits Syst. Signal Process. 34 (6) (2015)
Shinuk Kim, Taesung Park, Mark A. Kon
Cancer survival classification using integrated data sets and intermediate information. Artif. Intell. Medicine 62 (1) (2014)
Andrzej W. Przybyszewski, Mark A. Kon, Stanislaw Szlufik, Justyna Dutkiewicz, Piotr Habela, Dariusz M. Koziorowski
Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients. MICAI (2) (2014)
Shinuk Kim, Taesung Park, Mark A. Kon
Computational methods for cancer survival classification using intermediate information. IWBBIO (2013)
Mark A. Kon, Leszek Plaskota
On Some Integrated Approaches to Inference CoRR (2012)
Mark A. Kon, Nikolay Nikolaev
Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes. ICMLA (2) (2011)
Ping Shi, Surajit Ray, Qifu Zhu, Mark A. Kon
Top Scoring Pairs for Feature Selection in Machine Learning and Applications to Cancer Outcome Prediction. BMC Bioinform. 12 (2011)
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
Smoothing Gene Expression Using Biological Networks. ICMLA (2010)
Yue Fan, Mark A. Kon, Charles DeLisi
Ensemble Machine Methods for DNA Binding. ICMLA (2008)
Mark A. Kon, Dustin T. Holloway, Yue Fan, Chaitanya Sai, Charles DeLisi
Learning Methods for DNA Binding in Computational Biology. IJCNN (2007)
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles DeLisi
SVMotif: A Machine Learning Motif Algorithm. ICMLA (2007)
Dustin T. Holloway, Mark A. Kon, Charles DeLisi
Machine learning methods for transcription data integration. IBM J. Res. Dev. 50 (6) (2006)
Mark A. Kon, Leszek Plaskota
Information-based nonlinear approximation: an average case setting. J. Complex. 21 (2) (2005)
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
Machine Learning and Statistical MAP Methods. Intelligent Information Systems (2005)
Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
Statistical Likelihood Representations of Prior Knowledge in Machine Learning. Artificial Intelligence and Applications (2005)
Mark A. Kon, Leszek Plaskota
Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach. J. Complex. 17 (2) (2001)
Mark A. Kon, Leszek Plaskota
Information complexity of neural networks. Neural Networks 13 (3) (2000)
Mark A. Kon
On the delta->0 Limit in Probabilistic Complexity. J. Complex. 10 (3) (1994)
Mark A. Kon, Roberto Tempo
Linearity of algorithms and a result of Ando. J. Complex. 7 (2) (1991)
Mark A. Kon, Klaus Ritter, Arthur G. Werschulz
On the average case solvability of III-posed problems. J. Complex. 7 (3) (1991)
Mark A. Kon, Erich Novak
On the adaptive and continuous information problems. J. Complex. 5 (3) (1989)
Mark A. Kon, Roberto Tempo
On linearity of spline algorithms. J. Complex. 5 (2) (1989)