Alberto Testolin
Orcid: 0000-0001-7062-4861
According to our database1,
Alberto Testolin
authored at least 48 papers
between 2012 and 2024.
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Bibliography
2024
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies.
CoRR, 2024
Proceedings of the 20th Conference on Information and Research science Connecting to Digital and Library science (formerly the Italian Research Conference on Digital Libraries), Bressanone, Brixen, Italy, 2024
A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
Proc. ACM Hum. Comput. Interact., June, 2023
Automated detection of dolphin whistles with convolutional networks and transfer learning.
Frontiers Artif. Intell., February, 2023
Cogn. Comput., January, 2023
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models.
CoRR, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
Proceedings of the Brain Informatics - 16th International Conference, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: A Test Case for Pelagic Fish.
IEEE Trans. Mob. Comput., 2022
Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation.
Proceedings of the International Joint Conference on Neural Networks, 2022
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders.
Proceedings of the Brain Informatics - 15th International Conference, 2022
2021
IEEE Trans. Cogn. Commun. Netw., 2021
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization.
Entropy, 2021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients.
Brain Informatics, 2021
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes.
Proceedings of the Brain Informatics - 14th International Conference, 2021
2020
Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets.
Sensors, 2020
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance.
CoRR, 2020
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities.
Proceedings of the DroNet@MobiSys 2020: Proceedings of the 6th ACM Workshop on Micro Aerial Vehicle Networks, 2020
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data.
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
On the difficulty of learning and predicting the long-term dynamics of bouncing objects.
CoRR, 2019
Proceedings of the Advances in Computational Intelligence, 2019
Enabling Simulation-Based Optimization through Machine Learning: A Case Study on Antenna Design.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Underwater Acoustic Detection and Localization with a Convolutional Denoising Autoencoder.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
IEEE Trans. Cogn. Commun. Netw., 2018
2017
IEEE Trans. Wirel. Commun., 2017
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.
Frontiers Comput. Neurosci., 2017
Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning.
Cogn. Process., 2017
2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions.
Frontiers Comput. Neurosci., 2016
Cogn. Sci., 2016
Proceedings of the 2016 International Conference on Computing, 2016
2015
Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models.
Neurocomputing, 2015
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence.
IEEE Access, 2015
2014
Cognition-based networks: Applying cognitive science to multimedia wireless networking.
Proceedings of the Proceeding of IEEE International Symposium on a World of Wireless, 2014
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems.
Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012