LODDO, ANDREA
LODDO, ANDREA
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
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.
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 computer-aided system for differential count from peripheral blood cell images
2017-01-01 Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set
2022-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
A Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling
2016-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
A multiple classifier learning by sampling system for white blood cells segmentation
2015-01-01 DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo
A novel deep learning based approach for seed image classification and retrieval
2021-01-01 Loddo, Andrea; Loddo, Mauro; Di Ruberto, Cecilia
A region proposal approach for cells detection and counting from microscopic blood images
2019-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
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.
An Open Source Plugin for Image Analysis in Biology
2019-01-01 Campanile, Giorgia; Di Ruberto, C.; Loddo, A.
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence
2022-01-01 Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A.
Blob detection and deep learning for leukemic blood image analysis
2020-01-01 Di Ruberto, C.; Loddo, A.; Puglisi, G.
Cryptocurrency scams: analysis and perspectives
2021-01-01 Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S.
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.
Deep learning for covid-19 diagnosis from CT images
2021-01-01 Loddo, A.; Pili, F.; Di Ruberto, C.
Detection of red and white blood cells from microscopic blood images using a region proposal approach
2020-01-01 Di Ruberto, C.; Loddo, A.; Putzu, L.
Feature Selection in Mobile Activity Recognition: A Comparative Study
2021-01-01 Loddo, A.; Pes, B.; Riboni, D.
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
2023-01-01 Zedda, L.; Loddo, A.; Di Ruberto, C.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| 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 |
| 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 computer-aided system for differential count from peripheral blood cell images | 1-gen-2017 | Loddo, Andrea; Putzu, Lorenzo; DI RUBERTO, Cecilia; Fenu, Gianni | - | Institute of Electrical and Electronics Engineers (IEEE) |
| 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 Leukocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling | 1-gen-2016 | DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo | MACHINE VISION AND APPLICATIONS | - |
| A multiple classifier learning by sampling system for white blood cells segmentation | 1-gen-2015 | DI RUBERTO, Cecilia; Loddo, Andrea; Putzu, Lorenzo | LECTURE NOTES IN COMPUTER SCIENCE | - |
| 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 | - |
| A region proposal approach for cells detection and counting from microscopic blood images | 1-gen-2019 | Di Ruberto, C.; Loddo, A.; Putzu, L. | - | Springer Verlag |
| 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 | - |
| An Open Source Plugin for Image Analysis in Biology | 1-gen-2019 | Campanile, Giorgia; Di Ruberto, C.; Loddo, A. | - | Institute of Electrical and Electronics Engineers Inc. |
| Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence | 1-gen-2022 | Loddo, A.; Di Ruberto, C.; Armano, G.; Manconi, A. | IEEE ACCESS | - |
| Blob detection and deep learning for leukemic blood image analysis | 1-gen-2020 | Di Ruberto, C.; Loddo, A.; Puglisi, G. | APPLIED SCIENCES | - |
| Cryptocurrency scams: analysis and perspectives | 1-gen-2021 | Bartoletti, M.; Lande, S.; Loddo, A.; Pompianu, L.; Serusi, S. | 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 | - |
| Deep learning for covid-19 diagnosis from CT images | 1-gen-2021 | Loddo, A.; Pili, F.; Di Ruberto, C. | APPLIED SCIENCES | - |
| Detection of red and white blood cells from microscopic blood images using a region proposal approach | 1-gen-2020 | Di Ruberto, C.; Loddo, A.; Putzu, L. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| Feature Selection in Mobile Activity Recognition: A Comparative Study | 1-gen-2021 | Loddo, A.; Pes, B.; Riboni, D. | - | Institute of Electrical and Electronics Engineers Inc. |
| Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology | 1-gen-2023 | Zedda, L.; Loddo, A.; Di Ruberto, C. | - | Springer Science and Business Media |