Roberto Corizzo

According to our database1, Roberto Corizzo authored at least 22 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Multi-aspect renewable energy forecasting.
Inf. Sci., 2021

2020
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
Sensors, 2020

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.
Remote. Sens., 2020

Scalable auto-encoders for gravitational waves detection from time series data.
Expert Syst. Appl., 2020

ReMix: Calibrated Resampling for Class Imbalance in Deep learning.
CoRR, 2020

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.
IEEE Access, 2020

Short-term air pollution forecasting based on environmental factors and deep learning models.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

One-Class Ensembles for Rare Genomic Sequences Identification.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
DENCAST: distributed density-based clustering for multi-target regression.
J. Big Data, 2019

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.
Inf. Sci., 2019

Spatial autocorrelation and entropy for renewable energy forecasting.
Data Min. Knowl. Discov., 2019

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data.
Big Data Res., 2019

Pattern and Anomaly Localization in Complex and Dynamic Data.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018
An OWL Ontology for Supporting Semantic Services in Big Data Platforms.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
IEEE Trans. Ind. Informatics, 2017

Forecasting via Distributed Density-Based Clustering.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2015
VIPOC Project Research Summary (Discussion Paper).
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.
Proceedings of the 19th International Database Engineering & Applications Symposium, 2015

2014
Big Data Techniques For Renewable Energy Market.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Innovative power operating center management exploiting big data techniques.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014


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