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ORCIDAndrea Loddo
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2020 – today
- 2025
[j18]Luca Zedda, Andrea Loddo
, Cecilia Di Ruberto:
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenario. Comput. Biol. Medicine 186: 109704 (2025)- 2024
- [j17]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites. Biomed. Signal Process. Control. 94: 106289 (2024) - [j16]Andrea Loddo, Davide Ghiani, Alessandra Perniciano, Luca Zedda, Barbara Pes, Cecilia Di Ruberto:
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation. Inf. 15(6): 360 (2024) - [j15]Andrea Loddo, Marco Usai, Cecilia Di Ruberto:
Gastric Cancer Image Classification: A Comparative Analysis and Feature Fusion Strategies. J. Imaging 10(8): 195 (2024) - [j14]Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto:
Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification. Knowl. Based Syst. 295: 111833 (2024) - [c26]Marco Usai, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto:
Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images. IEEE Big Data 2024: 4507-4516 - [c25]Manuela Sanguinetti, Alessandro Pani, Alessandra Perniciano, Luca Zedda, Andrea Loddo, Maurizio Atzori:
Assessing Italian Large Language Models on Energy Feedback Generation: A Human Evaluation Study. CLiC-it 2024 - [c24]Luca Zedda, Alessandra Perniciano, Andrea Loddo, Cecilia Di Ruberto, Manuela Sanguinetti, Maurizio Atzori:
Snarci at SemEval-2024 Task 4: Themis Model for Binary Classification of Memes. SemEval@NAACL 2024: 853-858 - [c23]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
SAMMI: Segment Anything Model for Malaria Identification. VISIGRAPP (3): VISAPP 2024: 367-374 - [c22]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:
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - 2023
- [j13]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
On The Potential of Image Moments for Medical Diagnosis. J. Imaging 9(3): 70 (2023) - [j12]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
YOLO-PAM: Parasite-Attention-Based Model for Efficient Malaria Detection. J. Imaging 9(12): 266 (2023) - [j11]Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta:
An effective and friendly tool for seed image analysis. Vis. Comput. 39(1): 335-352 (2023) - [c21]Luca Zedda, Alessandra Perniciano, Andrea Loddo, Barbara Pes:
TECD: A Transformer Encoder Convolutional Decoder for High-Dimensional Biomedical Data. ICCSA (Workshops 1) 2023: 225-240 - [c20]Lorenzo Putzu, Andrea Loddo:
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario. ICIAP Workshops (2) 2023: 3-14 - [c19]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection. ICIAP Workshops (2) 2023: 59-70 - [c18]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology. ICIAP (2) 2023: 223-234 - [c17]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
FIRESTART: Fire Ignition Recognition with Enhanced Smoothing Techniques and Real-Time Tracking. ICIAP Workshops (1) 2023: 282-293 - [c16]Lorenzo Putzu, Andrea Loddo, Rita Delussu, Giorgio Fumera:
Specialise to Generalise: The Person Re-identification Case. ICIAP (2) 2023: 381-392 - [c15]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, Zheng Ziqiang, 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:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i4]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:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- [j10]Andrea Loddo, Giacomo Meloni, Barbara Pes:
Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis. IEEE Access 10: 119593-119606 (2022) - [j9]Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea Manconi:
Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence. IEEE Access 10: 122612-122626 (2022) - [j8]Andrea Loddo, Sara Buttau, Cecilia Di Ruberto:
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. Comput. Biol. Medicine 141: 105032 (2022) - [j7]Andrea Loddo, Corrado Fadda, Cecilia Di Ruberto:
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis. J. Imaging 8(3): 66 (2022) - [c14]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
A Shallow Learning Investigation for COVID-19 Classification. ICIAP Workshops (1) 2022: 326-337 - [c13]Luca Zedda, Andrea Loddo, Cecilia Di Ruberto:
A Deep Learning Based Framework for Malaria Diagnosis on High Variation Data Set. ICIAP (2) 2022: 358-370 - [c12]Samaneh Zolfaghari, Andrea Loddo, Barbara Pes, Daniele Riboni:
A Combination of Visual and Temporal Trajectory Features for Cognitive Assessment in Smart Home. MDM 2022: 343-348 - [i3]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, Zheng Ziqiang, 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:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022) - 2021
- [j6]Massimo Bartoletti, Stefano Lande, Andrea Loddo, Livio Pompianu, Sergio Serusi:
Cryptocurrency Scams: Analysis and Perspectives. IEEE Access 9: 148353-148373 (2021) - [j5]Andrea Loddo, Mauro Loddo, Cecilia Di Ruberto:
A novel deep learning based approach for seed image classification and retrieval. Comput. Electron. Agric. 187: 106269 (2021) - [j4]Andrea Loddo, Cecilia Di Ruberto:
On the Efficacy of Handcrafted and Deep Features for Seed Image Classification. J. Imaging 7(9): 171 (2021) - [c11]Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Andrea Loddo, Giorgio Fumera:
How Realistic Should Synthetic Images Be for Training Crowd Counting Models? CAIP (2) 2021: 46-56 - [c10]Lorenzo Putzu, Andrea Loddo, Cecilia Di Ruberto:
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. CAIP (1) 2021: 287-297 - [c9]Andrea Loddo, Barbara Pes, Daniele Riboni:
Feature Selection in Mobile Activity Recognition: A Comparative Study. MDM 2021: 181-186 - [i2]Andrea Loddo, Cecilia Di Ruberto, A. M. P. G. Vale, Mariano Ucchesu, J. M. Soares, Gianluigi Bacchetta:
An effective and friendly tool for seed image analysis. CoRR abs/2103.17213 (2021) - 2020
- [j3]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
Detection of red and white blood cells from microscopic blood images using a region proposal approach. Comput. Biol. Medicine 116: 103530 (2020) - [i1]A. M. P. G. Vale, Mariano Ucchesu, Cecilia Di Ruberto, Andrea Loddo, J. M. Soares, Gianluigi Bacchetta:
A new automatic approach to seed image analysis: From acquisition to segmentation. CoRR abs/2012.06414 (2020)
2010 – 2019
- 2019
- [c8]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images. ICIAP (2) 2019: 47-58 - [c7]Giorgia Campanile, Cecilia Di Ruberto, Andrea Loddo:
An Open Source Plugin for Image Analysis in Biology. WETICE 2019: 162-167 - 2018
- [j2]Andrea Loddo, Cecilia Di Ruberto, Michel Kocher:
Recent Advances of Malaria Parasites Detection Systems Based on Mathematical Morphology. Sensors 18(2): 513 (2018) - [c6]Andrea Loddo, Cecilia Di Ruberto, Michel Kocher, Guy Prod'Hom:
MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis. SaMBa@MICCAI 2018: 57-65 - [c5]Simone Porcu, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto:
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation. VISIGRAPP (4: VISAPP) 2018: 227-234 - 2017
- [c4]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
Histological Image Analysis by Invariant Descriptors. ICIAP (1) 2017: 345-356 - 2016
- [j1]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling. Mach. Vis. Appl. 27(8): 1151-1160 (2016) - [c3]Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto, Gianni Fenu:
A Computer-Aided System for Differential Count from Peripheral Blood Cell Images. SITIS 2016: 112-118 - 2015
- [c2]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation. CAIP (2) 2015: 415-425 - [c1]Cecilia Di Ruberto, Andrea Loddo, Lorenzo Putzu:
Learning by Sampling for White Blood Cells Segmentation. ICIAP (1) 2015: 557-567
Coauthor Index
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last updated on 2025-03-04 21:14 CET by the dblp team
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