Publikationen

 

SELECTED JOURNAL ARTICLES

 

2021

L. Fischer, L. Ehrlinger, V. Geist, R. Ramler, F. Sobiezky, W. Zellinger, D. Brunner, M. Kumar, and B. Moser, “AI System Engineering–Key Challenges and Lessons Learned,” Machine Learning and Knowledge Extraction, vol. 3, no. 1, pp. 56-83, 2021.

M. Kumar, S. Singh, and B. Freudenthaler, “Gaussian fuzzy theoretic analysis for variational learning of nested compositions,” International Journal of Approximate Reasoning, https://doi.org/10.1016/j.ijar.2020.12.021.

 

2020

M. Kumar and B. Freudenthaler, “Fuzzy Membership Functional Analysis for Nonparametric Deep Models of Image Features,” IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/TFUZZ.2019.2950636.

M. Kumar, M. Rossbory, B. A. Moser, and B. Freudenthaler, “An Optimal (𝜖, 𝛿)−Differentially Private Learning of Distributed Deep Fuzzy Models,” Information Sciences, https://doi.org/10.1016/j.ins.2020.07.044.

M. Kumar, W. Zhang, M. Weippert, and B. Freudenthaler, “An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis,” IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2020.3029284.#

 

2019

M. Kumar, S. Chatterjee, W. Zhang, J. Yang, and L. M. Kolbe, “Fuzzy Theoretic Model Based Analysis of Image Features,” Information Sciences, vol. 480, pp. 34-54, 2019.

W. Zhang and M. Kumar, “Artificial Intelligence in China,” Big Data, vol. 7, no. 2, pp. 85-86, 2019.

W. Zhang, M. Kumar, and J. Liu, “Multi-parameter online measurement IoT system based on BP neural network algorithm,” Neural Computing and Applications, vol. 31, pp. 8147-8155, 2019.

W. Zhang, M. Kumar, J. Yang, Y. Zhou, and Y. Mao, “An adaptive fuzzy filter for image denoising,” Cluster Computing, vol. 22, pp. 14107-14124, 2019.

SELECTED JOURNAL ARTICLES

 

2018

W. Zhang, Q. Yang, M. Kumar, and Y. Mao, “Application of Improved Least Squares Support Vector Machine in the Forecast of Daily Water Consumption,” Wireless Personal Communications, 2018, https://doi.org/10.1007/s11277- 018-5393-2.

W. Zhang, J. Yang, H. Su, M. Kumar, and Y. Mao, “Medical data fusion algorithm based on Internet of things,” Personal and Ubiquitous Computing, vol. 22, no. 5-6, pp. 895-902, 2018.

W. Zhang, M. Kumar, J. Yu, and J. Yang, “Medical long-distance monitoring system based on internet of things,” EURASIP Journal on Wireless Communications and Networking, vol. 2018, no. 1, pp. 176, 2018.

W. Zhang, X. Li, J. Yu, M. Kumar, and Y. Mao, “Remote sensing image mosaic technology based on SURF algorithm in agriculture,” EURASIP Journal on Image and Video Processing, vol. 2018, no. 1, pp. 85, 2018.

W. Zhang, X. Li, Y. Li, M. Kumar, and Y. Mao, “Integrated development environment model for visual image processing based on Moore nearest neighbor model,” EURASIP Journal on Image and Video Processing, vol. 2018, no. 1, pp. 123, 2018.

W. Zhang, Y. He, M. Wan, M. Kumar, and T. Qiu, “Research on the energy balance algorithm of WSN based on topology control,” EURASIP Journal on Wireless Communications and Networking, vol. 2018, no. 1, pp. 292, 2018.

 

2017

M. Kumar, Y. Mao, Y. Wang, T. Qiu, Y. Chenggen, and W. Zhang, "Fuzzy theoretic approach to signals and systems: Static systems," Information Sciences, vol. 418-419, pp. 668-702, 2017. 

W. Zhang, M. Kumar, Y. Zhou, J. Yang, and Y. Mao, “Analytically derived fuzzy membership functions,” Cluster Computing, 2017, https://doi.org/10.1007/s10586-017-1503-2.

 

2016

 M. Kumar, A. Insan, N. Stoll, K. Thurow, and R. Stoll, “Fuzzy Models for Ear Imaging Based Identification of Infants and Young Children,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 46, no. 9, pp. 1265-1278, 2016. 

M. Kumar, N. Stoll, R. Stoll, and K. Thurow, “Fuzzy Memberships Descriptors for Images,” IEEE Transactions on Fuzzy Systems, vol. 24, no. 1, pp. 195-207, 2016. 

M. Kumar, N. Stoll, R. Stoll, and K. Thurow, “A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part I,” IEEE Transactions on Cybernetics, vol. 46, no. 5, pp. 1118-1131, 2016.  

 

2015

M. Kumar, N. Stoll, R. Stoll, and K. Thurow, “A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part II,” IEEE Transactions on Cybernetics, vol. 45, no. 3, pp. 486-496, 2015. 

 

2013

M. Kumar, N. Stoll, K. Thurow, and R. Stoll, “Stationary Fuzzy Fokker-Planck Learning for Derivative-Free Optimization,” IEEE Transactions on Fuzzy Systems, vol. 21, no. 2, pp. 193-208, 2013. 

 

2012

M. Kumar, S. Neubert, S. Behrendt, A. Rieger, M. Weippert, N. Stoll, K. Thurow, and R. Stoll, “Stress Monitoring Based on Stochastic Fuzzy Analysis of Heartbeat Intervals,” IEEE Transactions on Fuzzy Systems, vol. 20, no. 4, pp. 746-759, 2012. 

 

2011

M. Kumar, N. Stoll, and R. Stoll, “Stationary Fuzzy Fokker-Planck Learning and Stochastic Fuzzy Filtering,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 5, pp. 873-889, 2011. 

 

2010

M. Kumar, M. Weippert, N. Stoll, and R. Stoll, “A Mixture of Fuzzy Filters Applied to the Analysis of Heart Beat Intervals,” Fuzzy Optimization and Decision Making, vol. 9, no. 4, pp. 383-412, 2010. 

M. Kumar, N. Stoll, and R. Stoll, “Variational Bayes for a Mixed Stochastic/Deterministic Fuzzy Filter,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 4, pp. 787-801, 2010. 

M. Kumar, M. Weippert, D. Arndt, S. Kreuzfeld, K. Thurow, N. Stoll, R. Stoll, “Fuzzy Filtering for Physiological Signal Analysis,” IEEE Transactions Fuzzy Systems, vol. 18, no. 1, pp. 208-216, 2010.

 

2009

S. Kumar, M. Kumar, K. Thurow, R. Stoll, and U. Kragl, “Fuzzy filtering for robust bioconcentration factor modelling,” Environmental Modelling & Software, vol. 24, no. 1, pp. 44-53, 2009.

M. Kumar, N. Stoll, and R. Stoll, “On the estimation of parameters of takagi-sugeno fuzzy filters,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 150-166, Feb. 2009. 

M. Kumar, N. Stoll, and R. Stoll, “Adaptive fuzzy filtering in a deterministic setting,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 4, pp. 763-776, Aug. 2009.  

 

2008

M. Kumar, D. Arndt, S. Kreuzfeld, K. Thurow, N. Stoll, and R. Stoll, “Fuzzy techniques for subjective workload score modelling under uncertainties,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 38, no. 6, pp. 1449-1464, 2008.

 

2007

S. Kumar, M. Kumar, R. Stoll, and U. Kragl, “Handling uncertainties in toxicity modelling using a fuzzy filter,” SAR and QSAR in Environmental Research, vol. 18, no. 7-8, pp. 645-662, 2007. 

M. Kumar, K. Thurow, N. Stoll, and R. Stoll, “Robust fuzzy mappings for QSAR studies,” European Journal of Medicinal Chemistry, vol. 42, pp. 675-685, 2007.

M. Kumar, M. Weippert, R. Vilbrandt, S. Kreuzfeld, and R. Stoll, “Fuzzy evaluation of heart rate signals for mental stress assessment,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 5, pp. 791-808, 2007.

 

2006

M. Kumar, R. Stoll, and N. Stoll, “Deterministic approach to robust adaptive learning of fuzzy models,” IEEE Transactions System, Man, and Cybernetics, Part B: Cybernetics, vol. 36, pp. 767-780, Aug. 2006.

M. Kumar, N. Stoll, and R. Stoll, “An energy-gain bounding approach to robust fuzzy identification,” Automatica, vol. 42, pp. 711-721, May 2006.

M. Kumar, R. Stoll, and N. Stoll, “A min-max approach to fuzzy clustering, estimation, and identification,” IEEE Transactions on Fuzzy Systems, vol. 14, pp. 248-262, Apr. 2006.

M. Kumar, R. Stoll, and N. Stoll, “A robust design criterion for interpretable fuzzy models with uncertain data,” IEEE Transactions on Fuzzy Systems, vol. 14, pp. 314-328, Apr. 2006.

 

2004

M. Kumar, R. Stoll, and N. Stoll, “Robust adaptive identification of fuzzy systems with uncertain data,” Fuzzy Optimization and Decision Making, vol. 3, no. 3, pp. 195-216, Sep. 2004.

M. Kumar, R. Stoll, and N. Stoll, “Robust solution to fuzzy identification problem with uncertain data by regularization. Fuzzy approximation to physical fitness with real world medical data: An application,” Fuzzy Optimization and Decision Making, vol. 3, no. 1, pp. 63-82, Mar. 2004. 

 

2003

M. Kumar, R. Stoll, and N. Stoll, “Regularized adaptation of fuzzy inference systems. Modelling the opinion of a medical expert about physical fitness: An application,” Fuzzy Optimization and Decision Making, vol. 2, no. 4, pp. 317-336, Dec. 2003.

M. Kumar, R. Stoll, and N. Stoll, “Robust adaptive fuzzy identification of time-varying processes with uncertain data. Handling uncertainties in the physical fitness fuzzy approximation with real world medical data: An application,” Fuzzy Optimization and Decision Making, vol. 2, no. 3, pp. 243-259, Sep. 2003.