Alberto Castellini
Zitiert von
Zitiert von
MetaPlab: A computational framework for metabolic P systems
A Castellini, V Manca
International Workshop on Membrane Computing, 157-168, 2008
Hybrid functional Petri nets as MP systems
A Castellini, G Franco, V Manca
Natural Computing 9 (1), 61-81, 2010
Psim: a computational platform for Metabolic P systems
L Bianco, A Castellini
International Workshop on Membrane Computing, 1-20, 2007
A dictionary based informational genome analysis
A Castellini, G Franco, V Manca
BMC genomics 13 (1), 1-14, 2012
Data analysis pipeline from laboratory to MP models
A Castellini, G Franco, R Pagliarini
Natural Computing 10 (1), 55-76, 2011
Metabolic P systems: a discrete model for biological dynamics
V Manca, A Castellini, G Franco, L Marchetti, R Pagliarini
Chinese Journal of Electronics 22 (4), 717-723, 2013
From time series to biological network regulations: an evolutionary approach
A Castellini, M Zucchelli, M Busato, V Manca
Molecular BioSystems 9 (2), 225-233, 2013
Toward a representation of hybrid functional Petri nets by MP systems
A Castellini, G Franco, V Manca
Natural computing, 28-37, 2009
Subspace clustering for situation assessment in aquatic drones
A Castellini, F Masillo, M Bicego, D Bloisi, J Blum, A Farinelli, S Peigner
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 930-937, 2019
Unsupervised activity recognition for autonomous water drones
A Castellini, G Beltrame, M Bicego, J Blum, M Denitto, A Farinelli
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 840-842, 2018
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods.
A Castellini, GA Beltrame, M Bicego, D Bloisi, JJ Blum, M Denitto, ...
AIRO@ AI* IA, 16-21, 2017
MP-GeneticSynth: inferring biological network regulations from time series
A Castellini, D Paltrinieri, V Manca
Bioinformatics 31 (5), 785-787, 2015
Learning regulation functions of metabolic systems by artificial neural networks
A Castellini, V Manca
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
Time series segmentation for state-model generation of autonomous aquatic drones: a systematic framework
A Castellini, M Bicego, F Masillo, M Zuccotto, A Farinelli
Engineering Applications of Artificial Intelligence 90, 103499, 2020
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring
L Steccanella, DD Bloisi, A Castellini, A Farinelli
Robotics and Autonomous Systems 124, 103346, 2020
MP systems and hybrid Petri nets
A Castellini, V Manca, L Marchetti
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 53-62, 2008
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning.
A Castellini, G Chalkiadakis, A Farinelli
IJCAI, 5540-5546, 2019
HMMs for Anomaly Detection in Autonomous Robots
D Azzalini, A Castellini, M Luperto, A Farinelli, F Amigoni
International Conference on Autonomous Agents and MultiAgent Systems, 105-113, 2020
Subspace clustering for situation assessment in aquatic drones: a sensitivity analysis for state-model improvement
A Castellini, M Bicego, D Bloisi, J Blum, F Masillo, S Peignier, A Farinelli
Cybernetics and Systems 50 (8), 658-671, 2019
Load forecasting in district heating networks: model comparison on a real-world case study
F Bianchi, A Castellini, P Tarocco, A Farinelli
International Conference on Machine Learning, Optimization, and Data Science …, 2019
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