Quantifying non-monotonicity of functions and the lack of positivity in signed measures

Davydov, Youri; Zitikis, Ričardas

doi:10.15559/17-VMSTA84

Using Genetic Programming to Learn Behavioral Models of Lithium Batteries

G. Di Capua, C. Bourelly, C. De Stefano, F. Fontanella, F. Milano, M. Molinara, N. Oliva, F. Porpora

https://doi.org/10.1007/978-3-031-30229-9_30

Book: Lecture Notes in Computer Science (Applications of Evolutionary Computation) Volume 13989 (2023), p. 461

2021 International Conference on Electrical Engineering and Photonics (EExPolytech)

Nikolay I. Chernov, Nikolay V. Butyrlagin, Nikolay N. Prokopenko, Vladislav Ya. Yugai

https://doi.org/10.1109/EExPolytech53083.2021.9614916

Conference: (2021), p. 104

2023 IEEE International Symposium on Circuits and Systems (ISCAS)

G. Di Capua, N. Oliva, F. Milano, C. Bourelly, F. Porpora, A. Maffucci, N. Femia

https://doi.org/10.1109/ISCAS46773.2023.10181456

Conference: (2023), p. 1

2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)

F. Milano, G. Di Capua, N. Oliva, F. Porpora, C. Bourelly, L. Ferrigno, M. Laracca

https://doi.org/10.1109/MetroAutomotive57488.2023.10219104

Conference: (2023), p. 35

Absorbing random walks interpolating between centrality measures on complex networks

Aleks J. Gurfinkel, Per Arne Rikvold

https://doi.org/10.1103/PhysRevE.101.012302

Journal: Physical Review E Volume 101, Issue 1 (2020)

Assessing Transfer Functions in Control Systems

Nadezhda Gribkova, Ričardas Zitikis

https://doi.org/10.1007/s42519-018-0035-2

Journal: Journal of Statistical Theory and Practice Volume 13, Issue 2 (2019)

Behavioral Models for Lithium Batteries Based on Genetic Programming

Giulia Di Capua, Francesco Porpora, Filippo Milano, Nunzio Oliva, Antonio Maffucci

https://doi.org/10.1109/ACCESS.2024.3434716

Journal: IEEE Access Volume 12 (2024), p. 108275

Detecting intrusions in control systems : A rule of thumb, its justification and illustrations

Nadezhda Gribkova, Ričardas Zitikis

https://doi.org/10.1080/09720510.2019.1649038

Journal: Journal of Statistics and Management Systems Volume 23, Issue 8 (2020), p. 1285

Detecting systematic anomalies affecting systems when inputs are stationary time series

Ning Sun, Chen Yang, Ričardas Zitikis

https://doi.org/10.1002/asmb.2674

Journal: Applied Stochastic Models in Business and Industry Volume 38, Issue 3 (2022), p. 512

Estimating the Index of Increase via Balancing Deterministic and Random Data

L. Chen, Y. Davydov, N. Gribkova, R. Zitikis

https://doi.org/10.3103/S1066530718020011

Journal: Mathematical Methods of Statistics Volume 27, Issue 2 (2018), p. 83

High throughput exploration of the oxidation landscape in high entropy alloys

D. Sauceda, P. Singh, G. Ouyang, O. Palasyuk, M. J. Kramer, R. Arróyave

https://doi.org/10.1039/D2MH00729K

Journal: Materials Horizons Volume 9, Issue 10 (2022), p. 2644

Measuring and Comparing Student Performance: A New Technique for Assessing Directional Associations

Lingzhi Chen, Ričardas Zitikis

https://doi.org/10.3390/educsci7040077

Journal: Education Sciences Volume 7, Issue 4 (2017), p. 77

Quantifying and analyzing nonlinear relationships with a fresh look at a classical dataset of student scores

Lingzhi Chen, Ričardas Zitikis

https://doi.org/10.1007/s11135-020-00979-7

Journal: Quality & Quantity Volume 54, Issue 4 (2020), p. 1145

Searching for and Quantifying Nonconvexity Regions of Functions*

Youri Davydov, Elina Moldavskaya, Ričardas Zitikis

https://doi.org/10.1007/s10986-019-09465-6

Journal: Lithuanian Mathematical Journal Volume 59, Issue 4 (2019), p. 507

Statistical detection and classification of background risks affecting inputs and outputs

Nadezhda Gribkova, Ričardas Zitikis

https://doi.org/10.1007/s40300-019-00148-3

Journal: METRON Volume 77, Issue 1 (2019), p. 1

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