Roberto Corizzo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
14
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | TinySubNets: An Efficient and Low Capacity Continual Learning Strategy. | Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo |
| 2025 | ICDM | xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection. | Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo |
| 2025 | ICDM | Class-Constrained Independent Vector Analysis for Discriminative Multimodal Representation Learning. | Marlia Maia, Lucas P. Damasceno, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas |
| 2025 | IJCNN | Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study. | Roberto Corizzo, Alex Godwin, Massimiliano Altieri, Michelangelo Ceci |
| 2024 | DSAA | Coded Term Discovery for Online Hate Speech Detection. | Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz |
| 2024 | GECCO | AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wjcik |
| 2024 | ICCS | Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2024 | IJCNN | Attention-Based Medical Knowledge Injection in Deep Image Classification Models. | Yaning Wu, Nathalie Japkowicz, Sbastien Gilbert, Roberto Corizzo |
| 2024 | ISMIS | Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios. | Collin Coil, Roberto Corizzo |
| 2023 | DIS | Explainable Spatio-Temporal Graph Modeling. | Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo |
| 2023 | ECAI | Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2023 | IJCNN | A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification. | Roberto Corizzo, Sebastian Leal-Arenas |
| 2023 | IJCNN | Transformed-*: A domain-incremental lifelong learning scenario generation framework. | Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber |
| 2022 | DSAA | Active Lifelong Anomaly Detection with Experience Replay. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz |
| 2022 | IJCNN | LIFEWATCH: Lifelong Wasserstein Change Point Detection. | Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz |
| 2022 | IJCNN | Machine Learning for Surgical Risk Assessment Decision Systems. | Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz |
| 2022 | KDD | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. | Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2021 | DIS | Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. | Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | DIS | Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. | Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz |
| 2021 | IJCNN | Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. | Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2020 | DIS | One-Class Ensembles for Rare Genomic Sequences Identification. | Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John R. Bracht, Nathalie Japkowicz |
| 2020 | FedCSIS | Short-term air pollution forecasting based on environmental factors and deep learning models. | Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik |
| 2019 | BigData | Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. | Roberto Corizzo, Michelangelo Ceci, Donato Malerba |
| 2019 | ICMLA | Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. | Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2019 | ICMLA | Pattern and Anomaly Localization in Complex and Dynamic Data. | Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz |
| 2018 | BigData | An OWL Ontology for Supporting Semantic Services in Big Data Platforms. | Domenico Redavid, Roberto Corizzo, Donato Malerba |
| 2015 | IDEAS | Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. | Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska |
| 2014 | IDEAS | Innovative power operating center management exploiting big data techniques. | Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura |