A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP (2), 2022)

A Shallow Learning Investigation for COVID-19 Classification. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (1), 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Barbara Pes (ICCSA (Workshops 1), 2023)

Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP (2), 2023)

FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (1), 2023)

MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (ICIAP Workshops (2), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (CoRR, 2023)

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (J. Imaging, 2023)

Assessing Italian Large Language Models on Energy Feedback Generation: A Human Evaluation Study. - Manuela Sanguinetti; Alessandro Pani; Alessandra Perniciano; Luca Zedda; Andrea Loddo; Maurizio Atzori (CLiC-it, 2024)

Training and Benchmarking Leukocyte Sub-Types Classification Methods with Synthetic Images. - Luca Zedda; Lorenzo Putzu; Andrea Loddo; Cecilia Di Ruberto (ECCV Workshops (20), 2024)

MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation. - Alessandro Pani; Andrea Loddo; Lorenzo Putzu; Luca Zedda; Cecilia Di Ruberto (ICPR (Workshops and Challenges, 2), 2024)

Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto; Manuela Sanguinetti; Maurizio Atzori (SemEval@NAACL, 2024)

SAMMI: Segment Anything Model for Malaria Identification. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (VISIGRAPP (3): VISAPP, 2024)

2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (WACV (Workshops), 2024)

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Biomed. Signal Process. Control., 2024)

Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification. - Luca Zedda; Alessandra Perniciano; Andrea Loddo; Cecilia Di Ruberto (Knowl. Based Syst., 2024)

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. - Andrea Loddo; Davide Ghiani; Alessandra Perniciano; Luca Zedda; Barbara Pes; Cecilia Di Ruberto (Inf., 2024)

A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Comput. Biol. Medicine, 2025)

Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Comput. Biol. Medicine, 2025)

Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions. - Luca Zedda; Andrea Loddo; Cecilia Di Ruberto (Neurocomputing, 2025)

Is it fake or not? A comprehensive approach for multimodal fake news detection. - Davide Antonio Mura; Marco Usai; Andrea Loddo; Manuela Sanguinetti; Luca Zedda; Cecilia Di Ruberto; Maurizio Atzori (Online Soc. Networks Media, 2025)

From User Preferences to Optimization Constraints Using Large Language Models. - Manuela Sanguinetti; Alessandra Perniciano; Luca Zedda; Andrea Loddo; Cecilia Di Ruberto; Maurizio Atzori (CoRR, 2025)