Pubblicazioni

Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection

2023 - INTELLIGENT SYSTEMS WITH APPLICATIONS

Mattera, G.; Mattera, R.

Artificial intelligence for tunnel boring machine penetration rate prediction

2023 - TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Flor, A.; Sassi, F.; La Morgia, M.; Cernera, F.; Amadini, F.; Mei, A.; Danzi, A.

LieToMe: An LSTM-Based Method forÂ Deception Detection byÂ Hand Movements

2023 - Proceedings of the International Conference on Image Analysis and Processing (ICIAP)

Avola, D.; Cinque, L.; De Marsico, M.; Di Mambro, A.; Fagioli, A.; Foresti, G. L.; Lanzino, R.; Scarcello, F.

LieToMe: An LSTM-Based Method forÂ Deception Detection byÂ Hand Movements

2023 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Avola, D.; Cinque, L.; De Marsico, M.; Di Mambro, A.; Fagioli, A.; Foresti, G. L.; Lanzino, R.; Scarcello, F.

Hand Gesture Recognition Exploiting Handcrafted Features andÂ LSTM

2023 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Avola, D.; Cinque, L.; Emam, E.; Fontana, F.; Foresti, G. L.; Marini, M. R.; Pannone, D.

Identification of vessel class with LSTM using kinematic features in maritime traffic control

2022 - International Journal of Computer, Electrical, Automation, Control and Information Engineering

FuscÃ , Davide; Rahimli, Kanan; Leuzzi, Roberto

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

2022 - EARTH AND PLANETARY SCIENCE LETTERS

Laurenti, Laura; Tinti, Elisa; Galasso, Fabio; Franco, Luca; Marone, CHRIS JAMES

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress

2022 - EARTH AND PLANETARY SCIENCE LETTERS

Laurenti, Laura; Tinti, Elisa; Galasso, Fabio; Franco, Luca; Marone, CHRIS JAMES

Exploiting Prediction Error Inconsistencies through LSTM-based Classifiers to Detect Deepfake Videos

2020 - IH and MMSec 2020 - Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security

Amerini, I.; Caldelli, R.

Using Self-Attention LSTMs to Enhance Observations in Goal Recognition

2020 - Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN 2020)

Amado, L.; Paludo Licks, G.; Marcon, M.; Fraga Pereira, R.; Meneguzzi, F.

LSTMEmbed: learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories

2019 - Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Iacobacci, IGNACIO JAVIER; Navigli, Roberto

2-D convolutional deep neural network for multivariate energy time series prediction

2019 - Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

Rosato, A.; Araneo, R.; Andreotti, A.; Panella, M.

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets

2019 - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Hasan, Irtiza; Setti, Francesco; Tsesmelis, Theodore; Belagiannis, Vasileios; Amin, Sikandar; Del Bue, Alessio; Cristani, Marco; GALASSO, FABIO

Recurrent neural networks with flexible gates using kernel activation functions

2018 - Proceedings 28th IEEE International Workshop on Machine Learning for Signal Processing

Scardapane, S; Van Vaerenbergh, S; Comminiello, D; Totaro, S; Uncini, A