Cited by 15
Quantifying non-monotonicity of functions and the lack of positivity in signed measures

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
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
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
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
Conference:  (2023), p. 35
Absorbing random walks interpolating between centrality measures on complex networks
Aleks J. Gurfinkel, Per Arne Rikvold
Journal:  Physical Review E Volume 101, Issue 1 (2020)
Assessing Transfer Functions in Control Systems
Nadezhda Gribkova, Ričardas Zitikis
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
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
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
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
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
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
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
Journal:  Quality & Quantity Volume 54, Issue 4 (2020), p. 1145
Searching for and Quantifying Nonconvexity Regions of Functions*
Youri Davydov, Elina Moldavskaya, Ričardas Zitikis
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
Journal:  METRON Volume 77, Issue 1 (2019), p. 1