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Mark A. Kon
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2020 – today
- 2024
- [j23]Wenrui Li
, Xiaoyu Wang
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records. IEEE Trans. Big Data 10(2): 122-131 (2024) - [i10]Xinying Mu, Mark A. Kon:
Feature Network Methods in Machine Learning and Applications. CoRR abs/2401.04874 (2024) - 2023
- [i9]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 abs/2309.16068 (2023) - [i8]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 abs/2309.16439 (2023) - 2022
- [j22]Zhiguo Zhang, Mark A. Kon:
Wavelet matrix operations and quantum transforms. Appl. Math. Comput. 428: 127179 (2022) - [j21]Shichen Cao
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. Entropy 24(3): 423 (2022) - [j20]Julio Enrique Castrillón-Candás
Anomaly detection: A functional analysis perspective. J. Multivar. Anal. 189: 104885 (2022) - [i7]Julio Enrique Castrillón-Candás, Mark A. Kon:
Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection. CoRR abs/2207.06229 (2022) - 2021
- [i6]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 abs/2106.05811 (2021) - [i5]Julio Enrique Castrillón-Candás, Dingning Liu, Mark A. Kon:
Stochastic functional analysis with applications to robust machine learning. CoRR abs/2110.01729 (2021) - [i4]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 abs/2110.09680 (2021) - 2020
- [j19]Julio Enrique Castrillón-Candás, Mark A. Kon:
Analytic regularity and stochastic collocation of high-dimensional Newton iterates. Adv. Comput. Math. 46(3): 42 (2020) - [j18]Zhiguo Zhang
Interpolatory filter banks and interpolatory wavelet packets. J. Comput. Appl. Math. 374: 112755 (2020) - [j17]Michael Manighalam
General methods and properties to evaluate continuum limits of the 1D discrete time quantum walk. Quantum Inf. Process. 19(10): 379 (2020)
2010 – 2019
- 2019
- [i3]Parker Kuklinski, Mark A. Kon:
Bifurcation Curves of Two-Dimensional Quantum Walks. CoRR abs/1905.00057 (2019) - [i2]Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon:
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder. CoRR abs/1906.00536 (2019) - 2018
- [j16]Parker Kuklinski
Absorption probabilities of quantum walks. Quantum Inf. Process. 17(10): 263 (2018) - 2017
- [j15]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): 359-368 (2017) - [j14]Zhiguo Zhang, Mark A. Kon:
Wavelet sampling and generalization in neural networks. Neurocomputing 267: 36-54 (2017) - 2016
- [j13]Andrzej W. Przybyszewski
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients. Sensors 16(9): 1498 (2016) - [c12]Shinuk Kim, Mark A. Kon, Hyowon Lee:
Some comparisons of gene expression classifiers. BIBM 2016: 1753-1756 - [c11]Xinying Mu, Ana Brândusa Pavel, Mark A. Kon:
Differentiation and Integration of Machine Learning Feature Vectors. ICMLA 2016: 611-616 - 2015
- [j12]Zhiguo Zhang, Mark A. Kon:
On Relating Interpolatory Wavelets to Interpolatory Scaling Functions in Multiresolution Analyses. Circuits Syst. Signal Process. 34(6): 1947-1976 (2015) - [c10]Jessica Curtis, Mark A. Kon:
Class Discovery via Bimodal Feature Selection in Unsupervised Settings. ICMLA 2015: 699-702 - 2014
- [j11]Shinuk Kim, Taesung Park, Mark A. Kon:
Cancer survival classification using integrated data sets and intermediate information. Artif. Intell. Medicine 62(1): 23-31 (2014) - [c9]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: 499-509 - 2013
- [c8]Shinuk Kim, Taesung Park, Mark A. Kon:
Computational methods for cancer survival classification using intermediate information. IWBBIO 2013: 517-525 - 2012
- [i1]Mark A. Kon, Leszek Plaskota:
On Some Integrated Approaches to Inference. CoRR abs/1212.1180 (2012) - 2011
- [j10]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: 375 (2011) - [c7]Mark A. Kon, Nikolay Nikolaev:
Empirical Normalization for Quadratic Discriminant Analysis and Classifying Cancer Subtypes. ICMLA (2) 2011: 374-379 - 2010
- [c6]Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi:
Smoothing Gene Expression Using Biological Networks. ICMLA 2010: 540-545
2000 – 2009
- 2008
- [c5]Yue Fan, Mark A. Kon, Charles DeLisi:
Ensemble Machine Methods for DNA Binding. ICMLA 2008: 709-716 - 2007
- [c4]Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles DeLisi:
SVMotif: A Machine Learning Motif Algorithm. ICMLA 2007: 573-580 - [c3]Mark A. Kon, Dustin T. Holloway, Yue Fan, Chaitanya Sai, Charles DeLisi:
Learning Methods for DNA Binding in Computational Biology. IJCNN 2007: 2358-2365 - 2006
- [j9]Dustin T. Holloway, Mark A. Kon, Charles DeLisi:
Machine learning methods for transcription data integration. IBM J. Res. Dev. 50(6): 631-644 (2006) - 2005
- [j8]Mark A. Kon, Leszek Plaskota:
Information-based nonlinear approximation: an average case setting. J. Complex. 21(2): 211-229 (2005) - [c2]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski:
Statistical Likelihood Representations of Prior Knowledge in Machine Learning. Artificial Intelligence and Applications 2005: 467-472 - [c1]Mark A. Kon, Leszek Plaskota, Andrzej W. Przybyszewski
Machine Learning and Statistical MAP Methods. Intelligent Information Systems 2005: 441-445 - 2001
- [j7]Mark A. Kon, Leszek Plaskota:
Complexity of Neural Network Approximation with Limited Information: A Worst Case Approach. J. Complex. 17(2): 345-365 (2001) - 2000
- [j6]Mark A. Kon, Leszek Plaskota:
Information complexity of neural networks. Neural Networks 13(3): 365-375 (2000)
1990 – 1999
- 1994
- [j5]Mark A. Kon:
On the delta->0 Limit in Probabilistic Complexity. J. Complex. 10(3): 356-365 (1994) - 1991
- [j4]Mark A. Kon, Roberto Tempo:
Linearity of algorithms and a result of Ando. J. Complex. 7(2): 213-217 (1991) - [j3]Mark A. Kon, Klaus Ritter, Arthur G. Werschulz:
On the average case solvability of III-posed problems. J. Complex. 7(3): 220-224 (1991) - [p1]Mark A. Kon:
On the Almost Sure Limit of Probabilistic Recovery. Curves and Surfaces 1991: 259-265
1980 – 1989
- 1989
- [j2]Mark A. Kon, Roberto Tempo:
On linearity of spline algorithms. J. Complex. 5(2): 251-259 (1989) - [j1]Mark A. Kon, Erich Novak:
On the adaptive and continuous information problems. J. Complex. 5(3): 345-362 (1989)
Coauthor Index
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last updated on 2024-05-08 21:54 CEST by the dblp team
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