Lia Morra

ERC sectors

SDG

Open badges

• Learning to Teach (L2T)
  Issued by Politecnico di Torino on 19-12-2023

• Frontiers in Medical Engineering (2022-), Editor of magazine, editorial series, encyclopaedia
• IEEE CONSUMER ELECTRONICS MAGAZINE (2020-), Associate Editor of magazine or editorial series

• Attivita' di insegnamento (art. 23 L. 240/10), presso Università degli Studi del PIEMONTE ORIENTALE (28/2/2022-30/9/2022)
• Attivita' di insegnamento (art. 23 L. 240/10), presso Università degli Studi del PIEMONTE ORIENTALE (8/3/2021-30/9/2021)

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

PhD

• Neuro-symbolic artificial intelligence. A.A. 2024/25, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Neuro-symbolic artificial intelligence. A.A. 2023/24, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher
• Neuro-symbolic artificial intelligence. A.A. 2022/23, INGEGNERIA INFORMATICA E DEI SISTEMI. Main teacher

Master of Science

• Machine learning for vision and multimedia. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2024/25, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2023/24, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Tecnologie e metodi per la trasformazione digitale. A.A. 2022/23, INGEGNERIA GESTIONALE. Titolare del corso
• Machine learning for vision and multimedia. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Information systems. A.A. 2021/22, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Machine learning for vision and multimedia. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Information systems. A.A. 2020/21, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Information systems. A.A. 2019/20, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

Bachelor of Science

• Introduction to databases. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Introduction to databases. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso

• GRAINS - GRAphics and INtelligent Systems (DAUIN)

Projects funded by competitive calls

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

Projects funded by commercial contracts

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

• Pietro Basci. Programme in Ingegneria Informatica E Dei Sistemi (40^th cycle, 2024-in progress)
  Research subject: Generative AI models for enhanced text-to-image synthesis
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
• Rosario Milazzo. Programme in Ingegneria Informatica E Dei Sistemi (38^th cycle, 2023-in progress)
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
  Data science, Computer vision and AI
• Alessandro Sebastian Russo. Programme in Ingegneria Informatica E Dei Sistemi (38^th cycle, 2022-in progress)
  Research subject: Scalable architectures for neural-symbolic scene interpretation and generation
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
• Luca Piano. Programme in Ingegneria Informatica E Dei Sistemi (37^th cycle, 2021-in progress)
  Thesis: Tackling Data Challenges in Computer Vision
  
  Data science, Computer vision and AI
  Data science, Computer vision and AI
  Data science, Computer vision and AI

• Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, ... (2025)
  Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures. In: MEDICAL IMAGE ANALYSIS, vol. 99. ISSN 1361-8415
  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
• Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia (2024)
  Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation. In: IEEE International Workshop on Sport Technology and Research (STAR), Lecco (ITA), 08-10 July 2024, pp. 193-198. ISBN: 979-8-3503-5145-3
  Contributo in Atti di Convegno (Proceeding)
• Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And (2024)
  Probing LLMs for logical reasoning. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 257-278. ISSN 0302-9743. ISBN: 978-3-031-71166-4
  Contributo in Atti di Convegno (Proceeding)
• Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia (2024)
  Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks. In: 18th International Conference on Neuro-symbolic Learning and Reasoning, Barcelona (ESP), September 9–12, 2024, pp. 14-23. ISSN 0302-9743. ISBN: 978-3-031-71169-5
  Contributo in Atti di Convegno (Proceeding)
• Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO (2024)
  ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving. In: International Joint Conference on Neural Networks (IJCNN) 2024, Yokohama (JPN), 30 June 2024 - 05 July 2024. ISBN: 979-8-3503-5931-2
  Contributo in Atti di Convegno (Proceeding)
• Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, ... (2024)
  EASTERN project: Earth observation models for weather event mitigation. In: SPAICE Conference on AI in and for Space, London (UK), 17 – 19 September 2024, pp. 318-322
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Santangelo, Antonio; Basci, Pietro; Piano, Luca; Garcea, Fabio; Lamberti, ... (2024)
  For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives. In: COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 249. ISSN 1077-3142
  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; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia (2024)
  Harnessing Foundation Models for Image Anonymization. In: 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin (ITA), 05-07 June 2024. ISBN: 979-8-3503-7453-7
  Contributo in Atti di Convegno (Proceeding)
• 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
• 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)
• Liu, Lei; Zhang, Peng; Liang, Yunji; Liu, Junrui; Morra, Lia; Guo, Bin; Yu, Zhiwen; ... (2024)
  γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, pp. 1-15. ISSN 2329-924X
  Contributo su Rivista
• 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
• Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, ... (2023)
  AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. In: MEDICAL PHYSICS, vol. 50, pp. 1-24. ISSN 0094-2405
  Contributo su Rivista
• 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
• 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)
• 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
• 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)
• 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)
• 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
• 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)

• Deep Neural Networks For Multi-View Mammography Classification. national Patent
  Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo