Personal profile
Personal profile
My areas of interest are signal and image processing, data analytics, machine learning, and deep learning. I have more than 20 years of experience managing R&D projects both in academia and industry. I teach undergraduate and graduate courses on signal processing, machine learning and data analytics.
Research interests
Signal and image processing. Data Analytics. Machine learning and deep learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 13 Climate Action -
SDG 15 Life on Land
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Dive into the research topics where Alvaro Daniel Pardo Piccone is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Diffusion models meet image counter-forensics
Tailanián, M., Gardella, M., Pardo, A. & Musé, P., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 3913-3923 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Scopus citations -
Sentinel 3 OLCI and Machine Learning for Cyanobacteria Bloom Detection Over Small Inland Water Target
Pacilio, E., Silvarrey, A. & Pardo, A., 2024, LASCAS 2024 - 15th IEEE Latin American Symposium on Circuits and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., (LASCAS 2024 - 15th IEEE Latin American Symposium on Circuits and Systems, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
U-Flow: A U-Shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Tailanian, M., Pardo, Á. & Musé, P., Aug 2024, In: Journal of Mathematical Imaging and Vision. 66, 4, p. 678-696 19 p.Research output: Contribution to journal › Article › peer-review
Open Access20 Scopus citations -
UAVs vs Satellites: Comparison of tools for water quality monitoring
Pacilio, E., Silvarrey, A. & Pardo, A., 2022, 2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Tailanian, M., Muse, P. & Pardo, A., 2021, Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021. Wani, M. A., Sethi, I. K., Shi, W., Qu, G., Raicu, D. S. & Jin, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 179-184 6 p. (Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access11 Scopus citations