Ph.D. in Ingegneria Informatica E Dei Sistemi , 17th cycle (2002-2004)
Ph.D. obtained in 2005
Tutors:
Elena Maria BaralisProfile
Research interests
Biography
Paolo Garza received the master's and Ph.D. degrees in Computer Engineering from Politecnico di Torino in 2001 and 2005, respectively. He spent three years, from 2010 to 2012, as an assistant professor at Politecnico di Milano. From December 2012 to 2018, he was an assistant professor at Politecnico di Torino. Since December 2018, he has been an associate professor at the Dipartimento di Automatica e Informatica, Politecnico di Torino. His research interests include data mining algorithms, big data analytics, and data science. He has worked on classification, clustering, itemset mining, outlier detection, and scalable algorithms. He coauthored about 100 papers on data mining, machine learning, and big data algorithms.
Scientific branch
(Area 0009 - Industrial and information engineering)
Teaching
Collegi of the PhD programmes
- INGEGNERIA INFORMATICA E DEI SISTEMI, 2022/2023 (39. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2021/2022 (38. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2020/2021 (37. ciclo)
Politecnico di TORINO - INGEGNERIA INFORMATICA E DEI SISTEMI, 2019/2020 (36. ciclo)
Politecnico di TORINO
Collegi of the degree programmes
Teaching and training projects
Projects funded by commercial contracts
- Corso di base su Big Data e Data Science, (2019-2019) - Responsabile Scientifico
Commercial contracts
Research
Research groups
Laboratories
Research projects
Projects funded by competitive calls
- NODES - Spoke 2 - Nord Ovest Digitale E Sostenibile - GREEN TECHNOLOGIES AND SUSTAINABLE INDUSTRY (Spoke 2) , (2022-2025) - Responsabile Scientifico di Struttura
PNRR – Mission 4
Projects funded by commercial contracts
- Algoritmi di data mining e machine learning per sistemi di Cybersecurity in ambito web , (2022-2024) - Responsabile Scientifico
Consulting - Machine Learning for network supervision and Assurance , (2023-2023) - Responsabile Scientifico
Commercial Research - Machine Learning for Network Supervision and Fault Management , (2022-2022) - Responsabile Scientifico
Commercial Research - Machine learning for networksupervision and fault management , (2021-2021) - Responsabile Scientifico
Commercial Research - Collaboration Research Agreement – CRA tra Politecnico di Torino (DET e DAUIN) e Cisco Systems Inc. (USA)_ "ML4QoE (Machine Learning for QoE): re-enabling QoE for multiparty real time” , (2019-2022) - Responsabile contrattuale
Commercial Research
Supervised PhD students
- Giuseppe Gallipoli. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2023-in progress)
- Daniele Rege Cambrin. Programme in Ingegneria Informatica E Dei Sistemi (cycle 38, 2022-in progress)
Life sciences Life sciences - Lorenzo Vaiani. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-in progress)
- Luca Colomba. Programme in Ingegneria Informatica E Dei Sistemi (cycle 36, 2020-in progress)
Research subject: Data Analytics and Big Spatio-Temporal Data
Life sciences Software engineering and Mobile computing
Publications
Last years publications
PoliTO co-authors
Publications by type
Last years publications View all publications in Porto@Iris
- Rege Cambrin, Daniele; Cagliero, Luca; Garza, Paolo (2024)
DQNC2S: DQN-based Cross-stream Crisis event Summarizer. In: 46th European Conference on Information Retrieval. ECIR 2024, Glasgow (UK), March 24–28, 2024, pp. 422-430. ISSN 0302-9743. ISBN: 978-3-031-56062-0
Contributo in Atti di Convegno (Proceeding) - Song, Tailai; Perna, Gianluca; Garza, Paolo; Meo, Michela; Munafo, Maurizio Matteo (2024)
BitFormer: Transformer-Based Neural Network for Bitrate Prediction in Real-Time Communications. In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 06 Jan 2024 - 09 Jan 2024, pp. 65-70. ISBN: 979-8-3503-0457-2
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Apiletti, Daniele; Garza, Paolo (2023)
A Model-based Curriculum Learning Strategy for Training SegFormer. In: IEEE 17th International Conference Application of Information and Communication Technologies, Baku (AZ), 18-20 October 2023, pp. 1-6. ISBN: 979-8-3503-0356-8
Contributo in Atti di Convegno (Proceeding) - Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
CaBuAr: California burned areas dataset for delineation [Software and Data Sets]. In: IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, vol. 11, pp. 106-113. ISSN 2168-6831
Contributo su Rivista - Cagliero, L; Fior, J; Garza, P (2023)
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 216. ISSN 0957-4174
Contributo su Rivista - Gallipoli, Giuseppe; Cagliero, Luca; Garza, Paolo (2023)
Extractive Conversation Summarization Driven by Textual Entailment Prediction. In: 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT), Baku (AZ), 18-20 October 2023, pp. 1-6. ISBN: 979-8-3503-0356-8
Contributo in Atti di Convegno (Proceeding) - Avignone, Andrea; Chiusano, Silvia; Fiori, Alessandro; Garza, Paolo; Marchetta, Emanuele (2023)
A Novel DB CASE Tool for Relational Databases. In: SEBD 2023: 31st Symposium on Advanced Database System, Galzignano Terme, Italy, July 02–05, 2023, pp. 100-100
Contributo in Atti di Convegno (Proceeding) - Colomba, Luca; Garza, Paolo (2023)
ViGEO: an Assessment of Vision GNNs in Earth Observation. In: International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM workshop at ICDM2023), Shanghai, China, 01/12/2023 - 04/12/2023, pp. 816-822
Contributo in Atti di Convegno (Proceeding) - Colomba, Luca; Cagliero, Luca; Garza, Paolo (2023)
Density-based Clustering by Means of Bridge Point Identification. In: IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 35, pp. 11274-11287. ISSN 1041-4347
Contributo su Rivista - Rege Cambrin, Daniele; Colomba, Luca; Garza, Paolo (2023)
Vision Transformers for Burned Area Delineation. In: MACLEAN: MAChine Learning for EArth ObservatioN (workshop @ECML/PKDD2022), Grenoble (FR), 19/09/2022
Contributo in Atti di Convegno (Proceeding) - Vaiani, Lorenzo; Cagliero, Luca; Garza, Paolo (2023)
PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation. In: SemEval-2023 (Workshop of ACL), Toronto (CAN), July 9–14, 2023, pp. 1447-1453
Contributo in Atti di Convegno (Proceeding)