• Collegio di Ingegneria Gestionale e della Produzione. Componente
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

• GRAINS - GRAphics and INtelligent Systems

Progetti finanziati da bandi competitivi

• CAMOUFLAGE - Controllable AnonyMizatiOn throUgh diFfusion-based image coLlection GEneration , (2023-2024) - Responsabile Scientifico
  Ricerca UE

Progetti finanziati da contratti commerciali

• Tecniche di intelligenza artificiale per l’analisi di dati satellitari , (2024-2025) - Responsabile Scientifico
  Ricerca Commerciale
• Studio di soluzioni di intelligenza artificiale per l’analisi di immagini medicali , (2023-2023) - Responsabile Scientifico
  Ricerca Commerciale
• Middleware per la raccolta di dati finalizzati all'analisi delle prestazioni nel gioco del tennis , (2023-2023) - Responsabile Scientifico
  Ricerca Commerciale
• Studio di soluzioni di intelligenza artificiale per l’analisi di immagini medicali , (2021-2023) - Responsabile Scientifico
  Ricerca Commerciale

• Natnael Tilahun Sinshaw. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 39, 2024-in corso)
• Rosario Milazzo. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 38, 2023-in corso)
• Alessandro Sebastian Russo. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 38, 2022-in corso)
• Luca Piano. Corso in Ingegneria Informatica E Dei Sistemi (ciclo 37, 2021-in corso)

• Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; ... (2024)
  Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. In: British Journal of Radiology: Artificial Intelligence, vol. 1
  Contributo su Rivista
• Daniel, Vergara; Samuel G., Armato; Lubomir, Hadjiiski; Karen, Drukker; Cha, Kenny; ... (2024)
  Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. In: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, vol. 21, pp. 341-343. ISSN 1546-1440
  Contributo su Rivista
• Piano, Luca; Garcea, Fabio; Cavallone, Andrea; Aparicio Vazquez, Ignacio; Morra, Lia; ... (2024)
  Drift Detection for Black Box Deep Learning Models. In: IT PROFESSIONAL, vol. 26, pp. 24-31. ISSN 1520-9202
  Contributo su Rivista
• Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; ... (2024)
  On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. In: 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Kielce (Polonia), 3-5 April 2024, pp. 110-115. ISBN: 979-8-3503-5934-3
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
  Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Recalcati, Pietro; Garcea, Fabio; Piano, Luca; Lamberti, Fabrizio; Morra, Lia (2023)
  Toward a Realistic Benchmark for Out-of-Distribution Detection. In: International Conference on Data Science and Advanced Analytics (DSAA 2023), Thessaloniki (GR), 09-13 October 2023. ISBN: 979-8-3503-4503-2
  Contributo in Atti di Convegno (Proceeding)
• Russo, Alessandro; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2023)
  L-TReiD: Logic Tensor Transformer for Re-Identification. In: International Symposium on Visual Computing (ISVC) 2023, Lake Tahoe, Nevada, USA, 16/10/2023 - 18/10/2023, pp. 345-357. ISSN 0302-9743. ISBN: 978-3-031-47965-6
  Contributo in Atti di Convegno (Proceeding)
• Piano, Luca; Prattico', FILIPPO GABRIELE; Russo, ALESSANDRO SEBASTIAN; Lanari, Lorenzo; ... (2023)
  Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023, Waikoloa (USA), 03/01/2023 - 07/01/2023, pp. 4870-4880
  Contributo in Atti di Convegno (Proceeding)
• Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio (2023)
  Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching. In: 22nd International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP 2023), Udine, 11-15 settembre 2023, pp. 456-467. ISSN 0302-9743. ISBN: 978-3-031-43152-4
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Biondo, Andrea; Poerio, Nicola; Lamberti, Fabrizio (2023)
  MIXO: Mixture of experts-based visual odometry for multicamera autonomous systems. In: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, vol. 69, pp. 261-270. ISSN 0098-3063
  Contributo su Rivista
• Garcea, Fabio; Serra, Alessio; Lamberti, Fabrizio; Morra, Lia (2023)
  Data Augmentation for medical imaging: a Systematic Literature Review. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 152. ISSN 0010-4825
  Contributo su Rivista
• Borghesi, Matteo; Lorenzo D., Costa; Morra, Lia; Lamberti, Fabrizio (2023)
  Using Temporal Convolutional Networks to estimate ball possession in soccer games. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 223. ISSN 0957-4174
  Contributo su Rivista
• Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia (2023)
  HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers. In: First World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisbon (Portugal), July 26-28, 2023, pp. 475-498. ISSN 1865-0937. ISBN: 978-3-031-44066-3
  Contributo in Atti di Convegno (Proceeding)
• Bianconi, Andrea; Rossi, Luca Francesco; Bonada, Marta; Zeppa, Pietro; Nico, Elsa; De ... (2023)
  Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. In: BRAIN INFORMATICS, vol. 10. ISSN 2198-4026
  Contributo su Rivista
• Martone, Simone; Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia (2022)
  PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. In: 26th International Conference on Pattern Recognition (ICPR 2022), Montreal, 21-25 Agosto 2022, pp. 4427-4433. ISBN: 978-1-6654-9062-7
  Contributo in Atti di Convegno (Proceeding)
• Gatteschi, Valentina; Cannavò, Alberto; Lamberti, Fabrizio; Morra, Lia; Montuschi, Paolo (2022)
  Comparing algorithms for aggressive driving event detection based on vehicle motion data. In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 71, pp. 53-68. ISSN 0018-9545
  Contributo su Rivista
• Garcea, Fabio; Blanco, Giacomo; Croci, Alberto; Lamberti, Fabrizio; Mamone, Riccardo; ... (2022)
  Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras. In: SCIENTIFIC REPORTS, vol. 12. ISSN 2045-2322
  Contributo su Rivista
• Piano, Luca; Garcea, Fabio; Gatteschi, Valentina; Lamberti, Fabrizio; Morra, Lia (2022)
  Detecting drift in deep learning: A methodology primer. In: IT PROFESSIONAL, vol. 24, pp. 53-60. ISSN 1520-9202
  Contributo su Rivista
• Armaroli, Paola; Frigerio, Alfonso; Correale, Loredana; Ponti, Antonio; Artuso, Franca; ... (2022)
  A randomised controlled trial of Digital Breast Tomosynthesis versus Digital Mammography as primary screening tests: screening results over subsequent episodes of the Proteus Donna study. In: INTERNATIONAL JOURNAL OF CANCER, vol. 151, pp. 1778-1790. ISSN 0020-7136
  Contributo su Rivista
• Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, ... (2022)
  AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. In: MEDICAL PHYSICS, pp. 1-24. ISSN 0094-2405
  Contributo su Rivista

• Deep Neural Networks For Multi-View Mammography Classification. Brevetto nazionale
  Inventori: Francesco Manigrasso Rosario Milazzo Lia Morra