Massimiliano Altieri is a PhD student at the Computer Science department of University of Bari Aldo Moro. He graduated in Computer Science (Knowledge Engineering and Machine Intelligence) from the same university with full marks, discussing a thesis on "Graph convolutional neural networks for renewable energy forecasting", where he explored new ways to integrate spatial features into a time series forecasting model, using the graph convolution. His research interests and activity mainly concern the study of time series forecasting using graph convolutional neural networks and deep learning. His supervisor is prof. Michelangelo Ceci.

Research Interests

Time series forecasting, Graph Convolutional Neural Networks, Deep Learning, Intrusion Detection, Adversarial Machine Learning

Massimiliano Altieri
PhD Student
Phone: +39 080 5442203
em@il: massimiliano.altieri @ uniba.it



Publications Legend

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Publications


2024
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11773-1178 (2024)
DOI: https://doi.org/10.1109/TNNLS.2024.3398441


2023
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo:
Explainable Spatio-Temporal Graph Modeling. DS: 174-188 (2023)
DOI: https://doi.org/10.1007/978-3-031-45275-8_12


2022
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. IEEE Big Data: 4595-4600 (2022)
DOI: https://doi.org/10.1109/BigData55660.2022.10020456