Luca Zedda

According to our database, Luca Zedda authored at least 28 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CRDet: An Artificial Intelligence-Based Framework for Automated Cheese Ripeness Assessment from Digital Images.

Alessandra Perniciano, Luca Zedda, Cecilia Di Ruberto, Barbara Pes, Andrea Loddo

IEEE CAA J. Autom. Sinica, October, 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, March, 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

3D-NASE: A Novel 3D CT Nasal Attention-Based Segmentation Ensemble.

Alessandro Pani, Luca Zedda, Davide Antonio Mura, Andrea Loddo, Cecilia Di Ruberto

J. Imaging, 2025

YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites.

Davide Antonio Mura, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

J. Imaging, 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

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

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

RedDino: A Foundation Model for Red Blood Cell Analysis.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Carsten Marr

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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., June, 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

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

2^nd 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, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

SAMMI: Segment Anything Model for Malaria Identification.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the 19th International Joint Conference on Computer Vision, 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

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

MIRIAMS: Models Integration for Reliable Identification and Accurate Multiple Sclerosis Segmentation.

Alessandro Pani, Andrea Loddo, Lorenzo Putzu, Luca Zedda, Cecilia Di Ruberto

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Training and Benchmarking Leukocyte Sub-Types Classification Methods with Synthetic Images.

Luca Zedda, Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

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

Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), 2024

2023

YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

J. Imaging, 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, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann

CoRR, 2023

1^st 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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data.

Luca Zedda, Alessandra Perniciano, Andrea Loddo, Barbara Pes

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Ziqiang Zheng, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

CoRR, 2022

A Shallow Learning Investigation for COVID-19 Classification.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set.

Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022