In a world increasingly facing new challenges at the forefront of plasma scientific research and technological innovation, CNR and ISTP pledge progress and achieve an impact in the integration of research into societal practices and policy
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time series
Showing all 4 results
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Artificial intelligence review (Dordr., Online) pp. 1 - 37 Year: 2022 DOI: 10.1007/s10462-022-10320-3
Combining neural computation and genetic programming for observational causality detection and causal modelling
Murari A.; Rossi R.; Gelfusa M. -
Softwarex (Amsterdam) 15 pp. 100773-1 - 100773-5 Year: 2021 DOI: 10.1016/j.softx.2021.100773
NetCausality: A time-delayed neural network tool for causality detection and analysis
Rossi R.; Murari A.; Martellucci L.; Gaudio P. -
Nonlinear dynamics (Dordr., Online) 103 (2), pp. 1937 - 1953 Year: 2021 DOI: 10.1007/s11071-020-06179-0
Detecting causal relations in time series with the new cross Markov Matrix technique
Craciunescu T.; Murari A. -
Entropy (Basel, Online) 22 (5), pp. 584-1 - 584-12 Year: 2020 DOI: 10.3390/e22050584
On the Potential of Time Delay Neural Networks to Detect Indirect Coupling between Time Series
Rossi Riccardo; Murari Andrea; Gaudio Pasquale
