1st workshop on maritime computer vision (macvi) 2023: Challenge results B Kiefer, M Kristan, J Perš, L Žust, F Poiesi, F Andrade, A Bernardino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 27 | 2023 |
A deep learning based framework for malaria diagnosis on high variation data set L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 358-370, 2022 | 17 | 2022 |
YOLO-PAM: Parasite-attention-based model for efficient malaria detection L Zedda, A Loddo, C Di Ruberto Journal of Imaging 9 (12), 266, 2023 | 9 | 2023 |
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites L Zedda, A Loddo, C Di Ruberto Biomedical Signal Processing and Control 94, 106289, 2024 | 6 | 2024 |
2nd workshop on maritime computer vision (macvi) 2024: Challenge results B Kiefer, L Žust, M Kristan, J Perš, M Teršek, A Wiliem, M Messmer, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6* | 2024 |
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification L Zedda, A Perniciano, A Loddo, C Di Ruberto Knowledge-Based Systems 295, 111833, 2024 | 3 | 2024 |
Firestart: fire ignition recognition with enhanced smoothing techniques and real-time tracking L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 282-293, 2023 | 3 | 2023 |
Snarci at semeval-2024 task 4: Themis model for binary classification of memes L Zedda, A Perniciano, A Loddo, C Di Ruberto, M Sanguinetti, M Atzori Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024 | 1 | 2024 |
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 59-70, 2023 | 1 | 2023 |
TECD: a transformer encoder convolutional decoder for high-dimensional biomedical data L Zedda, A Perniciano, A Loddo, B Pes International Conference on Computational Science and Its Applications, 225-240, 2023 | 1 | 2023 |
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario L Zedda, A Loddo, C Di Ruberto Computers in Biology and Medicine 186, 109704, 2025 | | 2025 |
CRDet: An artificial intelligence-based framework for automated cheese ripeness assessment from digital images A Perniciano, L Zedda, C Di Ruberto, B Pes, A Loddo IEEE/CAA Journal of Automatica Sinica, 2025 | | 2025 |
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation A Loddo, D Ghiani, A Perniciano, L Zedda, B Pes, C Di Ruberto Information 15 (6), 360, 2024 | | 2024 |
Assessing Italian Large Language Models on Energy Feedback Generation: A Human Evaluation Study M Sanguinetti, A Pani, A Perniciano, L Zedda, A Loddo, M Atzori | | 2024 |
SAMMI: Segment Anything Model for Malaria Identification L Zedda, A Loddo, C Di Ruberto VISAPP 3, 367-374, 2024 | | 2024 |
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 223-234, 2023 | | 2023 |
A shallow learning investigation for COVID-19 classification L Zedda, A Loddo, C Di Ruberto International Conference on Image Analysis and Processing, 326-337, 2022 | | 2022 |