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ORCIDMohit Kumar 0001
Person information
- affiliation: University of Rostock, Center for Life Science Automation, Germany
- affiliation (former): Zhejiang University, Binhai Industrial Technology Research Institute, China
Other persons with the same name
- Mohit Kumar — disambiguation page
- Mohit Kumar 0002
![[0000-0001-7609-3360]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7609-3360")
— Institute of Infrastructure Technology Research and Management, Ahmedabad, India - Mohit Kumar 0003 — KU Leuven, Leuven, Belgium
- Mohit Kumar 0004 — Dr. B. R. Ambedkar National Institute of Technology, Department of Information Technology, Jalandhar, India (and 1 more)
- Mohit Kumar 0005 — Colorado State University, Fort Collins, USA
- Mohit Kumar 0006 — National Institute of Technology, Patna, India (and 1 more)
- Mohit Kumar 0007 — Sant Longowal Institute of Engineering and Technology, Longowal, India
- Mohit Kumar 0008 — Flipkart, India
- Mohit Kumar 0009 — OMKARR Tech, R&D Department, New Delhi, India (and 1 more)
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Journal Articles
- 2025
[j47]Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Moser:
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. J. Artif. Intell. Res. 83 (2025)- 2024
- [j46]Mohit Kumar, Sukhvir Singh, Juliana Bowles:
Variational Bayesian deep fuzzy models for interpretable classification. Eng. Appl. Artif. Intell. 132: 107900 (2024) - [j45]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79: 515-567 (2024) - 2023
- [j44]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms 16(9): 450 (2023) - [j43]Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler:
Membership Mappings for Practical Secure Distributed Deep Learning. IEEE Trans. Fuzzy Syst. 31(8): 2617-2631 (2023) - 2022
- [j42]Weiping Zhang, Mohit Kumar, Weiping Ding, Xiujuan Li, Junfeng Yu:
Variational learning of deep fuzzy theoretic nonparametric model. Neurocomputing 506: 128-145 (2022) - 2021
- [j41]Mohit Kumar, Sukhvir Singh, Bernhard Freudenthaler:
Gaussian fuzzy theoretic analysis for variational learning of nested compositions. Int. J. Approx. Reason. 131: 1-29 (2021) - [j40]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. Inf. Sci. 546: 87-120 (2021) - [j39]Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser:
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3(1): 56-83 (2021) - [j38]Mohit Kumar, Weiping Zhang, Matthias Weippert, Bernhard Freudenthaler:
An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis. IEEE Trans. Fuzzy Syst. 29(12): 3873-3886 (2021) - 2020
- [j37]Mohit Kumar, Bernhard Freudenthaler:
Fuzzy Membership Functional Analysis for Nonparametric Deep Models of Image Features. IEEE Trans. Fuzzy Syst. 28(12): 3345-3359 (2020) - 2019
- [j36]Weiping Zhang, Mohit Kumar:
Artificial Intelligence in China. Big Data 7(2): 85-86 (2019) - [j35]Weiping Zhang, Mohit Kumar, Yunfeng Zhou, Jingzhi Yang, Yihua Mao:
Analytically derived fuzzy membership functions. Clust. Comput. 22(5): 11849-11876 (2019) - [j34]Weiping Zhang, Mohit Kumar, Jingzhi Yang, Yunfeng Zhou, Yihua Mao:
An adaptive fuzzy filter for image denoising. Clust. Comput. 22(6): 14107-14124 (2019) - [j33]Mohit Kumar, Sromona Chatterjee, Weiping Zhang, Jingzhi Yang, Lutz M. Kolbe:
Fuzzy theoretic model based analysis of image features. Inf. Sci. 480: 34-54 (2019) - [j32]Norbert Stoll, Matthias Weippert, Chao-Hsien Chu, Mohit Kumar, Hamid Aghajan:
Special Issue on Human-autonomous Devices for Rehabilitation and Assistance. J. Ambient Intell. Smart Environ. 11(6): 553-554 (2019) - [j31]Weiping Zhang, Mohit Kumar, Jingqing Liu:
Multi-parameter online measurement IoT system based on BP neural network algorithm. Neural Comput. Appl. 31(12): 8147-8155 (2019) - 2018
- [j30]Weiping Zhang, Xiujuan Li, Junfeng Yu, Mohit Kumar, Yihua Mao:
Remote sensing image mosaic technology based on SURF algorithm in agriculture. EURASIP J. Image Video Process. 2018: 85 (2018) - [j29]Weiping Zhang, Xiujuan Li, Yalin Li, Mohit Kumar, Yihua Mao:
Integrated development environment model for visual image processing based on Moore nearest neighbor model. EURASIP J. Image Video Process. 2018: 123 (2018) - [j28]Weiping Zhang, Mohit Kumar, Junfeng Yu, Jingzhi Yang:
Medical long-distance monitoring system based on internet of things. EURASIP J. Wirel. Commun. Netw. 2018: 176 (2018) - [j27]Weiping Zhang, Yudong He, Ming Wan, Mohit Kumar, Taorong Qiu:
Research on the energy balance algorithm of WSN based on topology control. EURASIP J. Wirel. Commun. Netw. 2018: 292 (2018) - [j26]Weiping Zhang, Jingzhi Yang, Hang Su, Mohit Kumar, Yihua Mao:
Medical data fusion algorithm based on Internet of things. Pers. Ubiquitous Comput. 22(5-6): 895-902 (2018) - [j25]Weiping Zhang, Qin Yang, Mohit Kumar, Yihua Mao:
Application of Improved Least Squares Support Vector Machine in the Forecast of Daily Water Consumption. Wirel. Pers. Commun. 102(4): 3589-3602 (2018) - 2017
- [j24]Mohit Kumar, Yihua Mao, Yuhao Wang, Taorong Qiu, Yang Chenggen, Weiping Zhang:
Fuzzy theoretic approach to signals and systems: Static systems. Inf. Sci. 418: 668-702 (2017) - 2016
- [j23]Mohit Kumar, Norbert Stoll, Regina Stoll, Kerstin Thurow:
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part I. IEEE Trans. Cybern. 46(5): 1118-1131 (2016) - [j22]Mohit Kumar, Norbert Stoll, Kerstin Thurow, Regina Stoll:
Fuzzy Membership Descriptors for Images. IEEE Trans. Fuzzy Syst. 24(1): 195-207 (2016) - [j21]Mohit Kumar, Aditya Insan, Norbert Stoll, Kerstin Thurow, Regina Stoll:
Stochastic Fuzzy Modeling for Ear Imaging Based Child Identification. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1265-1278 (2016) - 2015
- [j20]Mohit Kumar, Norbert Stoll, Regina Stoll, Kerstin Thurow:
A Stochastic Framework for Robust Fuzzy Filtering and Analysis of Signals - Part II. IEEE Trans. Cybern. 45(3): 486-496 (2015) - 2013
- [j19]Mohit Kumar, Norbert Stoll, Kerstin Thurow, Regina Stoll:
Stationary Fuzzy Fokker-Planck Learning for Derivative-Free Optimization. IEEE Trans. Fuzzy Syst. 21(2): 193-208 (2013) - 2012
- [j18]Mohit Kumar, Sebastian Neubert, Sabine Behrendt, Annika Rieger, Matthias Weippert, Norbert Stoll, Kerstin Thurow, Regina Stoll:
Stress Monitoring Based on Stochastic Fuzzy Analysis of Heartbeat Intervals. IEEE Trans. Fuzzy Syst. 20(4): 746-759 (2012) - 2011
- [j17]Mohit Kumar, Norbert Stoll, Regina Stoll:
Stationary Fuzzy Fokker-Planck Learning and Stochastic Fuzzy Filtering. IEEE Trans. Fuzzy Syst. 19(5): 873-889 (2011) - 2010
- [j16]Mohit Kumar, Matthias Weippert, Norbert Stoll, Regina Stoll:
A mixture of fuzzy filters applied to the analysis of heartbeat intervals. Fuzzy Optim. Decis. Mak. 9(4): 383-412 (2010) - [j15]Mohit Kumar, Matthias Weippert, Dagmar Arndt, Steffi Kreuzfeld, Kerstin Thurow, Norbert Stoll, Regina Stoll:
Fuzzy Filtering for Physiological Signal Analysis. IEEE Trans. Fuzzy Syst. 18(1): 208-216 (2010) - [j14]Mohit Kumar, Norbert Stoll, Regina Stoll:
Variational Bayes for a Mixed Stochastic/Deterministic Fuzzy Filter. IEEE Trans. Fuzzy Syst. 18(4): 787-801 (2010) - 2009
- [j13]Shefali Kumar, Mohit Kumar, Kerstin Thurow, Regina Stoll, Udo Kragl:
Fuzzy filtering for robust bioconcentration factor modelling. Environ. Model. Softw. 24(1): 44-53 (2009) - [j12]Mohit Kumar, Norbert Stoll, Regina Stoll:
On the Estimation of Parameters of Takagi-Sugeno Fuzzy Filters. IEEE Trans. Fuzzy Syst. 17(1): 150-166 (2009) - [j11]Mohit Kumar, Norbert Stoll, Regina Stoll:
Adaptive Fuzzy Filtering in a Deterministic Setting. IEEE Trans. Fuzzy Syst. 17(4): 763-776 (2009) - 2008
- [j10]Mohit Kumar, Dagmar Arndt, Steffi Kreuzfeld, Kerstin Thurow, Norbert Stoll, Regina Stoll:
Fuzzy Techniques for Subjective Workload-Score Modeling Under Uncertainties. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1449-1464 (2008) - 2007
- [j9]Mohit Kumar, Matthias Weippert, Reinhard Vilbrandt, Steffi Kreuzfeld, Regina Stoll:
Fuzzy Evaluation of Heart Rate Signals for Mental Stress Assessment. IEEE Trans. Fuzzy Syst. 15(5): 791-808 (2007) - 2006
- [j8]Mohit Kumar, Norbert Stoll, Regina Stoll:
An energy-gain bounding approach to robust fuzzy identification. Autom. 42(5): 711-721 (2006) - [j7]Mohit Kumar, Regina Stoll, Norbert Stoll:
A Min-Max Approach to Fuzzy Clustering, Estimation, and Identification. IEEE Trans. Fuzzy Syst. 14(2): 248-262 (2006) - [j6]Mohit Kumar, Regina Stoll, Norbert Stoll:
A Robust Design Criterion for Interpretable Fuzzy Models With Uncertain Data. IEEE Trans. Fuzzy Syst. 14(2): 314-328 (2006) - [j5]Mohit Kumar, Regina Stoll, Norbert Stoll:
Deterministic approach to robust adaptive learning of fuzzy models. IEEE Trans. Syst. Man Cybern. Part B 36(4): 767-780 (2006) - 2004
- [j4]Mohit Kumar, Regina Stoll, Norbert Stoll:
Robust Solution to Fuzzy Identification Problem with Uncertain Data by Regularization. Fuzzy Optim. Decis. Mak. 3(1): 63-82 (2004) - [j3]Mohit Kumar, Regina Stoll, Norbert Stoll:
Robust Adaptive Identification of Fuzzy Systems with Uncertain Data. Fuzzy Optim. Decis. Mak. 3(3): 195-216 (2004) - 2003
- [j2]Mohit Kumar, Regina Stoll, Norbert 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 Optim. Decis. Mak. 2(3): 243-259 (2003) - [j1]Mohit Kumar, Regina Stoll, Norbert Stoll:
Regularized Adaptation of Fuzzy Inference Systems. Modelling the Opinion of a Medical Expert about Physical Fitness: An Application. Fuzzy Optim. Decis. Mak. 2(4): 317-336 (2003)
Conference and Workshop Papers
- 2024
- [c18]Magdalena Fuchs, Lukas Fischer, Alessio Montuoro, Mohit Kumar, Bernhard Alois Moser:
Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner's Perspective. DEXA Workshops 2024: 67-76 - [c17]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint). IJCAI 2024: 8480 - 2023
- [c16]Mohit Kumar, Bernhard Moser, Lukas Fischer:
Secure Federated Learning with Kernel Affine Hull Machines. ESANN 2023 - 2022
- [c15]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data. DEXA Workshops 2022: 55-66 - 2021
- [c14]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. DEXA Workshops 2021: 127-137 - [c13]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. DEXA Workshops 2021: 138-147 - 2020
- [c12]Mohit Kumar, David Brunner, Bernhard Alois Moser, Bernhard Freudenthaler:
Variational Optimization of Informational Privacy. DEXA Workshops 2020: 32-47 - [c11]Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser:
Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM 2020: 734-743 - [c10]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Differentially Private Learning of Distributed Deep Models. UMAP (Adjunct Publication) 2020: 193-200 - 2019
- [c9]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. DEXA Workshops 2019: 108-118 - 2018
- [c8]Amit Kumar, Kristina Y. Yordanova, Thomas Kirste, Mohit Kumar:
Combining off-the-shelf Image Classifiers with Transfer Learning for Activity Recognition. iWOAR 2018: 15:1-15:9 - 2012
- [c7]Mohit Kumar, Norbert Stoll, Kerstin Thurow, Regina Stoll:
Physiological signals to individual assessment for application in wireless health systems. SSD 2012: 1-6 - 2011
- [c6]Mohit Kumar, Norbert Stoll, Kerstin Thurow, Regina Stoll:
On the combination of fuzzy models. CASE 2011: 322-326 - 2010
- [c5]Shefali Kumar, Mohit Kumar, Regina Stoll, Kerstin Thurow:
A mathematical programming for predicting molecular formulas in accurate mass spectrometry. CASE 2010: 246-251 - 2009
- [c4]Mohit Kumar, Matthias Weippert, Steffi Kreuzfeld, Norbert Stoll, Regina Stoll:
A fuzzy filtering based system for maximal oxygen uptake prediction using heart rate variability analysis. CASE 2009: 604-608 - 2008
- [c3]Mohit Kumar, Kerstin Thurow, Norbert Stoll, Regina Stoll:
A fuzzy system for modeling the structure-activity relationships in presence of uncertainties. CASE 2008: 1025-1030 - 2007
- [c2]Mohit Kumar, Norbert Stoll, David Kaber, Kerstin Thurow, Regina Stoll:
Fuzzy Filtering for an Intelligent Interpretation of Medical Data. CASE 2007: 225-230 - [c1]Mohit Kumar, Kerstin Thurow, Norbert Stoll, Regina Stoll:
Fuzzy Handling of Uncertainties in Modeling the Inhibition of Glycogen Synthase Kinase-3 by Paullones. CASE 2007: 237-242
Informal and Other Publications
- 2024
- [i5]Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser:
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. CoRR abs/2407.04335 (2024) - 2023
- [i4]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
Kernel Affine Hull Machines for Differentially Private Learning. CoRR abs/2304.01300 (2023) - 2022
- [i3]Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Practical Secure Distributed Deep Learning. CoRR abs/2204.05765 (2022) - 2021
- [i2]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning. CoRR abs/2104.07060 (2021) - [i1]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR abs/2106.06046 (2021)
Coauthor Index
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