ZEDDA, LUCA
ZEDDA, LUCA
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results
2024-01-01 Kiefer, B.; Zust, L.; Kristan, M.; Pers, J.; Tersek, M.; Wiliem, A.; Messmer, M.; Yang, C. -Y.; Huang, H. -W.; Jiang, Z.; Kuo, H. -C.; Mei, J.; Hwang, J. -N.; Stadler, D.; Sommer, L.; Huang, K.; Zheng, A.; Chong, W.; Lertniphonphan, K.; Xie, J.; Chen, F.; Li, J.; Wang, Z.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Vu, T. -A.; Nguyen-Truong, H.; Ha, T. -S.; Pham, Q. -D.; Yeung, S. -K.; Feng, Y.; Thien, N. T.; Tian, L.; Kuan, S. -Y.; Ho, Y. -H.; Rodriguez, A. B.; Carrillo-Perez, B.; Klein, A.; Alex, A.; Steiniger, Y.; Sattler, F.; Solano-Carrillo, E.; Fabijanic, M.; Sumunec, M.; Kapetanovic, N.; Michel, A.; Gross, W.; Weinmann, M.
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation
2024-01-01 Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C.
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
SAMMI: Segment Anything Model for Malaria Identification
2024-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes
2024-01-01 Zedda, Luca; Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Sanguinetti, Manuela; Atzori, Maurizio
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification
2024-01-01 Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C.
1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
2023-01-01 Kiefer, B.; Kristan, M.; Pers, J.; Zust, L.; Poiesi, F.; De Alcantara Andrade, F. A.; Bernardino, A.; Dawkins, M.; Raitoharju, J.; Quan, Y.; Atmaca, A.; Hofer, T.; Zhang, Q.; Xu, Y.; Zhang, J.; Tao, D.; Sommer, L.; Spraul, R.; Zhao, H.; Zhang, H.; Zhao, Y.; Augustin, J. L.; Jeon, E. -I.; Lee, I.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Verma, S.; Gupta, S.; Muralidhara, S.; Hegde, N.; Xing, D.; Evangeliou, N.; Tzes, A.; Bartl, V.; Spanhel, J.; Herout, A.; Bhowmik, N.; Breckon, T. P.; Kundargi, S.; Anvekar, T.; Tabib, R. A.; Mudengudi, U.; Vats, A.; Song, Y.; Liu, D.; Li, Y.; Li, S.; Tan, C.; Lan, L.; Somers, V.; De Vleeschouwer, C.; Alahi, A.; Huang, H. -W.; Yang, C. -Y.; Hwang, J. -N.; Kim, P. -K.; Kim, K.; Lee, K.; Jiang, S.; Li, H.; Ziqiang, Z.; Vu, T. -A.; Nguyen-Truong, H.; Yeung, S. -K.; Jia, Z.; Yang, S.; Hsu, C. -C.; Hou, X. -Y.; Jhang, Y. -A.; Yang, S.; Yang, M. -T.
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
A Shallow Learning Investigation for COVID-19 Classification
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| 2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results | 1-gen-2024 | Kiefer, B.; Zust, L.; Kristan, M.; Pers, J.; Tersek, M.; Wiliem, A.; Messmer, M.; Yang, C. -Y.; Huang, H. -W.; Jiang, Z.; Kuo, H. -C.; Mei, J.; Hwang, J. -N.; Stadler, D.; Sommer, L.; Huang, K.; Zheng, A.; Chong, W.; Lertniphonphan, K.; Xie, J.; Chen, F.; Li, J.; Wang, Z.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Vu, T. -A.; Nguyen-Truong, H.; Ha, T. -S.; Pham, Q. -D.; Yeung, S. -K.; Feng, Y.; Thien, N. T.; Tian, L.; Kuan, S. -Y.; Ho, Y. -H.; Rodriguez, A. B.; Carrillo-Perez, B.; Klein, A.; Alex, A.; Steiniger, Y.; Sattler, F.; Solano-Carrillo, E.; Fabijanic, M.; Sumunec, M.; Kapetanovic, N.; Michel, A.; Gross, W.; Weinmann, M. | - | Institute of Electrical and Electronics Engineers, IEEE |
| A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | - |
| An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation | 1-gen-2024 | Loddo, A.; Ghiani, D.; Perniciano, A.; Zedda, L.; Pes, B.; Di Ruberto, C. | INFORMATION | - |
| FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |
| SAMMI: Segment Anything Model for Malaria Identification | 1-gen-2024 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Science and Technology Publications, Lda |
| Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes | 1-gen-2024 | Zedda, Luca; Perniciano, Alessandra; Loddo, Andrea; Di Ruberto, Cecilia; Sanguinetti, Manuela; Atzori, Maurizio | - | Association for Computational Linguistics |
| Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification | 1-gen-2024 | Zedda, L.; Perniciano, A.; Loddo, A.; Di Ruberto, C. | KNOWLEDGE-BASED SYSTEMS | - |
| 1stWorkshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results | 1-gen-2023 | Kiefer, B.; Kristan, M.; Pers, J.; Zust, L.; Poiesi, F.; De Alcantara Andrade, F. A.; Bernardino, A.; Dawkins, M.; Raitoharju, J.; Quan, Y.; Atmaca, A.; Hofer, T.; Zhang, Q.; Xu, Y.; Zhang, J.; Tao, D.; Sommer, L.; Spraul, R.; Zhao, H.; Zhang, H.; Zhao, Y.; Augustin, J. L.; Jeon, E. -I.; Lee, I.; Zedda, L.; Loddo, A.; Di Ruberto, C.; Verma, S.; Gupta, S.; Muralidhara, S.; Hegde, N.; Xing, D.; Evangeliou, N.; Tzes, A.; Bartl, V.; Spanhel, J.; Herout, A.; Bhowmik, N.; Breckon, T. P.; Kundargi, S.; Anvekar, T.; Tabib, R. A.; Mudengudi, U.; Vats, A.; Song, Y.; Liu, D.; Li, Y.; Li, S.; Tan, C.; Lan, L.; Somers, V.; De Vleeschouwer, C.; Alahi, A.; Huang, H. -W.; Yang, C. -Y.; Hwang, J. -N.; Kim, P. -K.; Kim, K.; Lee, K.; Jiang, S.; Li, H.; Ziqiang, Z.; Vu, T. -A.; Nguyen-Truong, H.; Yeung, S. -K.; Jia, Z.; Yang, S.; Hsu, C. -C.; Hou, X. -Y.; Jhang, Y. -A.; Yang, S.; Yang, M. -T. | - | IEEE COMPUTER SOC |
| Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set | 1-gen-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |
| A Shallow Learning Investigation for COVID-19 Classification | 1-gen-2022 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer |