( en | de | ru )

 

Disambiguation of "Corizzo, Roberto"

Author of the publication

copydeleteadd this publication to your clipboard
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.

, , , , , , , , and . IDEAS, page 62-71. ACM, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Roberto Minakawa

Roberto Fornari

Roberto Cruccolini

Roberto Sala

Roberto Klimmek

 

Other publications of authors with the same name

Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection., , , , , , and . MLSP, page 1-6. IEEE, (2023)Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data., , , , and . DS, volume 12986 of Lecture Notes in Computer Science, page 461-471. Springer, (2021)Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification., , , , , and . Sensors, 20 (14): 3906 (2020)Spatial autocorrelation and entropy for renewable energy forecasting, , , and . Data Mining and Knowledge Discovery, 33 (3): 698--729 (2019)System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games., , , , , , , , , and 9 other author(s). AIMLSystems, page 12:1-12:9. ACM, (2022)A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification., and . IJCNN, page 1-10. IEEE, (2023)Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events., , , , , , , and . Mach. Learn., 113 (4): 2183-2205 (April 2024)4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022., , , , , , , , , and 3 other author(s). KDD, page 4860-4861. ACM, (2022)Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models., , and . IEEE Big Data, page 4595-4600. IEEE, (2022)CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection., , and . Knowl. Based Syst., (2022)