LODDO, ANDREA

LODDO, ANDREA  

DIPARTIMENTO DI MATEMATICA ED INFORMATICA  

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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.
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