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 Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting 2024 Shafiezadeh, SinaTestolin, Alberto + BIOSTEC - A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting
A Developmental Approach for Training Deep Belief Networks 2022 Zambra M.Testolin A.Zorzi M. COGNITIVE COMPUTATION - -
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 Hybrid System for Systematic Generalization in Simple Arithmetic Problems 2023 Petruzzellis F.Testolin A.Sperduti A. - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
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
Assessment of sequential boltzmann machines on a lexical processing task 2012 Testolin A.Sperduti A.Stoianov I.Zorzi M. - - ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Automated detection of dolphin whistles with convolutional networks and transfer learning 2023 Testolin, Alberto + FRONTIERS IN ARTIFICIAL INTELLIGENCE - -
AUV navigation using cues in the sand ripples 2023 Testolin A. + AUTONOMOUS ROBOTS - -
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 - -