74 citations · 96 across the 13 of their papers we have counts for
17 papers
Diffusion-Based Super-Resolution of Adriatic Sea Oceanographic Fields
Rajat Srivastava, Muhammad Sarmad, Emanuele Mele +3
High-resolution oceanographic fields are critical for resolving mesoscale and sub-mesoscale coastal dynamics, yet their generation remains constrained by both computational cost an…
Neptune: An AI model for Global Ocean Subseasonal Prediction
Davide Donno, Italo Epicoco, Massimo Cafaro +8
Subseasonal-to-seasonal (S2S) forecasting is societally critical, supporting decision-making in sectors ranging from water and agricultural management to disaster risk reduction, e…
Fast and Accurate Anomaly Detection in Time Series
Emanuele Mele, Massimo Cafaro, Angelo Coluccia +1
Anomaly detection is a critical and evolving field in Machine Learning, with applications targeting different domains such as cybersecurity, finance, healthcare, manufacturing and…
MedFormer: a data-driven model for forecasting the Mediterranean Sea
Italo Epicoco, Davide Donno, Gabriele Accarino +14
Accurate ocean forecasting is essential for supporting a wide range of marine applications. Recent advances in artificial intelligence have highlighted the potential of data-driven…
Application of association rule mining to assess forest species distribution in Italy considering abiotic and biotic factors
Valeria Aloisi, Sergio Noce, Italo Epicoco +7
Biodiversity monitoring represents a pressing global priority, and assessing forest community composition plays a crucial role due to its influence on ecosystem functions. The spat…
Space-Efficient Private Estimation of Quantiles
Massimo Cafaro, Aneglo Coluccia, Italo Epicoco +1
Fast and accurate estimation of quantiles on data streams coming from communication networks, Internet of Things (IoT), and alike, is at the heart of important data processing appl…