LODDO, ANDREA
LODDO, ANDREA
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
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.
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.
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.
On The Potential of Image Moments for Medical Diagnosis
2023-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Specialise to Generalise: The Person Re-identification Case
2023-01-01 Putzu, L.; Loddo, A.; Delussu, R.; Fumera, G.
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home
2022-01-01 Zolfaghari, S.; Loddo, A.; Pes, B.; Riboni, D.
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.
An effective and friendly tool for seed image analysis
2022-01-01 Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G.
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis
2022-01-01 Loddo, A.; Fadda, C.; Di Ruberto, C.
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence
2022-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method
2022-01-01 Loddo, A.; Buttau, S.; Di Ruberto, C.
On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study
2022-01-01 Loddo, Andrea; Putzu, Lorenzo
Special Issue on Image Processing Techniques for Biomedical Applications
2022-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis
2022-01-01 Loddo, A.; Meloni, G.; Pes, B.
A novel deep learning based approach for seed image classification and retrieval
2021-01-01 Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia
Cryptocurrency scams: analysis and perspectives
2021-01-01 Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| 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 | - |
| 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 |
| 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 |
| On The Potential of Image Moments for Medical Diagnosis | 1-gen-2023 | Di Ruberto, C.; Loddo, A.; Putzu, L. | JOURNAL OF IMAGING | - |
| Specialise to Generalise: The Person Re-identification Case | 1-gen-2023 | Putzu, L.; Loddo, A.; Delussu, R.; Fumera, G. | - | - |
| YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home | 1-gen-2022 | Zolfaghari, S.; Loddo, A.; Pes, B.; Riboni, D. | - | - |
| 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 |
| An effective and friendly tool for seed image analysis | 1-gen-2022 | Loddo, A.; Di Ruberto, C.; Vale, A. M. P. G.; Ucchesu, M.; Soares, J. M.; Bacchetta, G. | THE VISUAL COMPUTER | - |
| An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis | 1-gen-2022 | Loddo, A.; Fadda, C.; Di Ruberto, C. | JOURNAL OF IMAGING | - |
| Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence | 1-gen-2022 | Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A. | IEEE ACCESS | - |
| Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method | 1-gen-2022 | Loddo, A.; Buttau, S.; Di Ruberto, C. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| On the Reliability of CNNs in Clinical Practice: A Computer-Aided Diagnosis System Case Study | 1-gen-2022 | Loddo, Andrea; Putzu, Lorenzo | APPLIED SCIENCES | - |
| Special Issue on Image Processing Techniques for Biomedical Applications | 1-gen-2022 | Di Ruberto, C.; Loddo, A.; Putzu, L. | APPLIED SCIENCES | - |
| Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis | 1-gen-2022 | Loddo, A.; Meloni, G.; Pes, B. | IEEE ACCESS | - |
| A novel deep learning based approach for seed image classification and retrieval | 1-gen-2021 | Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia | COMPUTERS AND ELECTRONICS IN AGRICULTURE | - |
| Cryptocurrency scams: analysis and perspectives | 1-gen-2021 | Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S. | IEEE ACCESS | - |