Matteo Bodini

Orcid: 0000-0001-9007-6807

According to our database1, Matteo Bodini authored at least 15 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A comparative study of ensemble and non-ensemble machine learning methods for predicting river pollution index.
Ecol. Informatics, 2026

Operational early-warning forecasts of aquaculture water quality: Interpretable ML for TDS under walk-forward validation.
Ecol. Informatics, 2026

2025
Machine-learning optimized wavelet framework for multi-scale streamflow forecasting to enhance water-resource management.
Ecol. Informatics, 2025

Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management.
Ecol. Informatics, 2025

2023
Opinion mining from machine translated Bangla reviews with stacked contractive auto-encoders.
J. Ambient Intell. Humaniz. Comput., 2023

2022
Design and Explainability of Machine Learning Algorithms for the Classification of Cardiac abnormalities from electrocardiogram signals.
PhD thesis, 2022

2021
A Two-Steps-Ahead Estimator for Bubble Entropy.
Entropy, 2021

Bubble Entropy of Fractional Gaussian Noise and Fractional Brownian Motion.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Classification of ECG Signals with Different Lead Systems Using AutoML.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Classification of 12-lead ECG With an Ensemble Machine Learning Approach.
Proceedings of the Computing in Cardiology, 2020

Interpretability Analysis of Machine Learning Algorithms in the Detection of ST-Elevation Myocardial Infarction.
Proceedings of the Computing in Cardiology, 2020

2019
Aspect Extraction from Bangla Reviews Through Stacked Auto-Encoders.
Data, 2019

A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning.
Big Data Cogn. Comput., 2019

2018
Predictive Sampling of Facial Expression Dynamics Driven by a Latent Action Space.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

Single Sample Face Recognition by Sparse Recovery of Deep-Learned LDA Features.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018


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