TESTOLIN, ALBERTO

TESTOLIN, ALBERTO  

Dipartimento di Psicologia Generale - DPG  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients 2021 Testolin A.De Filippo De Grazia M.Zorzi M. + BRAIN INFORMATICS - -
A HMM-based pre-training approach for sequential data 2014 Luca PasaTESTOLIN, ALBERTOSPERDUTI, ALESSANDRO - - ESANN 2014 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems 2014 TESTOLIN, ALBERTOZANFORLIN, MARCODE FILIPPO DE GRAZIA, MICHELEMUNARETTO, DANIELEZANELLA, ANDREAZORZI, MARCOZORZI, MICHELE - - Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET)
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data 2020 Testolin A.De Filippo De Grazia M.Zorzi M. + - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
An emergentist perspective on the origin of number sense 2018 Zorzi, MarcoTestolin, Alberto PHILOSOPHICAL TRANSACTIONS - ROYAL SOCIETY. BIOLOGICAL SCIENCES - -
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes 2021 Zorzi M.De Filippo De Grazia M.Blini E.Testolin A. - - Lecture Notes in Artificial Intelligence
Assessment of sequential Boltmann machines on a lexical processing task 2012 TESTOLIN, ALBERTOSPERDUTI, ALESSANDROSTOIANOV, IVILIN PEEVZORZI, MARCO - - ESANN 2012 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Bilingualism advantage in handwritten character recognition: A deep learning investigation on Persian and Latin scripts 2017 Testolin, AZorzi, M + - - Proceedings of the 7th International Conference on Computer and Knowledge Engineering (ICCKE 2017)
COBANETS: A new paradigm for cognitive communications systems 2016 ZORZI, MICHELEZANELLA, ANDREATESTOLIN, ALBERTODE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO - - 2016 International Conference on Computing, Networking and Communications, ICNC 2016
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence 2015 ZORZI, MICHELEZANELLA, ANDREATESTOLIN, ALBERTODE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO IEEE ACCESS - -
Cognition-based networks: Applying cognitive science to multimedia wireless networking 2014 Badia, LeonardoMunaretto, DanieleTestolin, AlbertoZanella, AndreaZorzi, MarcoZorzi, Michele - - Proc. IEEE 15th Int. Symp. World Wireless, Mobile Multimedia Netw. (WoWMoM)
Cognition-based networks: applying cognitive science to wireless networking. 2014 BADIA, LEONARDOMUNARETTO, DANIELETESTOLIN, ALBERTOZANELLA, ANDREAZORZI, MARCOZORZI, MICHELE - - IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
Combining denoising autoencoders and dynamic programming for acoustic detection and tracking of underwater moving targets 2020 Testolin A.Diamant R. SENSORS - -
Deep learning systems as complex networks 2019 Testolin, AlbertoSuweis, Samir + JOURNAL OF COMPLEX NETWORKS - -
Deep Unsupervised Learning on a Desktop PC: A Primer for Cognitive Scientists 2013 TESTOLIN, ALBERTOSTOIANOV, IVILIN PEEVDE FILIPPO DE GRAZIA, MICHELEZORZI, MARCO FRONTIERS IN PSYCHOLOGY - -
Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: a Test Case for Pelagic Fish 2020 Testolin A.Diamant R. + IEEE TRANSACTIONS ON MOBILE COMPUTING - -
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control 2021 Venturini F.Mason F.Pase F.Chiariotti F.Testolin A.Zanella A.Zorzi M. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING - -
Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities 2020 Venturini, FedericoMason, FedericoPase, FrancescoChiariotti, FedericoTestolin, AlbertoZanella, AndreaZorzi, Michele - - MOBISYS Conference
Do estimates of numerosity really adhere to Weber’s law? A reexamination of two case studies 2020 Testolin A. + PSYCHONOMIC BULLETIN & REVIEW - -
Emergence of network motifs in deep neural networks 2020 Zambra M.Maritan A.Testolin A. ENTROPY - -