Roberto Corizzo
Orcid: 0000-0001-8366-6059Affiliations:
- American University, Department of Computer Science, Washington, DC, USA
- University of Bari Aldo Moro, Bari, Italy (PhD)
According to our database1,
Roberto Corizzo
authored at least 74 papers
between 2014 and 2025.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on rcorizzo.com
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on linkedin.com
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on american.edu
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on orcid.org
On csauthors.net:
Bibliography
2025
SoftwareX, 2025
2024
Mitigating social bias in sentiment classification via ethnicity-aware algorithmic design.
Soc. Netw. Anal. Min., December, 2024
A deep fusion model for stock market prediction with news headlines and time series data.
Neural Comput. Appl., December, 2024
Mach. Learn., October, 2024
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn., September, 2024
Mach. Learn., July, 2024
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn., April, 2024
Stock market prediction with time series data and news headlines: a stacking ensemble approach.
J. Intell. Inf. Syst., February, 2024
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.
CoRR, 2024
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.
CoRR, 2024
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
IEEE Access, 2024
Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios.
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
World Wide Web (WWW), September, 2023
Neural Networks, August, 2023
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR, 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR, 2023
CoRR, 2023
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Knowl. Based Syst., 2022
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
Proceedings of the Second International Conference on AI-ML Systems, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
Sensors, 2020
Remote. Sens., 2020
Expert Syst. Appl., 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
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
J. Big Data, 2019
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.
Inf. Sci., 2019
Data Min. Knowl. Discov., 2019
Big Data Res., 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
2018
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
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
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014