Roberto Corizzo

98 papers A* 3A 1B 25C 6Journal 47Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries.
CoRR
Massimiliano Altieri, Ronan Hamon, Roberto Corizzo, Michelangelo Ceci, Ignacio Sánchez
2026 J jnl
Distance-based change point detection for novelty detection in concept-agnostic continual anomaly detection.
J. Intell. Inf. Syst.
Collin Coil, Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo
2026 J jnl
EMO-CARE: EEG Multi-Scale Temporal Modeling With Channel-Aware Feature Attention for Robust Subject-Independent Emotion Recognition.
IEEE Open J. Comput. Soc.
Yeganeh Abdollahinejad, Ahmad Mousavi, Petros Siaplaouras, Zois Boukouvalas, Roberto Corizzo
2026 J jnl
Rethinking the Harmonic Loss via Non-Euclidean Distance Layers.
CoRR
Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
2025 J jnl
'Slightly disappointing' vs. 'worst sh** ever': tackling cultural differences in negative sentiment expressions in AI-based sentiment analysis.
J. Comput. Soc. Sci.
Franziska Sofia Hafner, Lena Hafner, Roberto Corizzo
2025 J jnl
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2025 J jnl
An end-to-end explainability framework for spatio-temporal predictive modeling.
Mach. Learn.
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
2025 — conf
Class-Constrained Independent Vector Analysis for Discriminative Multimodal Representation Learning.
ICDM (Workshops)
Marília Maia, Lucas P. Damasceno, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas
2025 J jnl
E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection.
CoRR
Ahmad Mousavi, Yeganeh Abdollahinejad, Roberto Corizzo, Nathalie Japkowicz, Zois Boukouvalas
2025 A* conf
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy.
AAAI
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2025 B conf
Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study.
IJCNN
Roberto Corizzo, Alex Godwin, Massimiliano Altieri, Michelangelo Ceci
2025 J jnl
pyCLAD: The universal framework for continual lifelong anomaly detection.
SoftwareX
Kamil Faber, Bartlomiej Sniezynski, Nathalie Japkowicz, Roberto Corizzo
2025 A* conf
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
ICDM
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2025 J jnl
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
CoRR
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2024 J jnl
A deep fusion model for stock market prediction with news headlines and time series data.
Neural Comput. Appl.
Pinyu Chen, Zois Boukouvalas, Roberto Corizzo
2024 — conf
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.
GECCO Companion
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik
2024 J jnl
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 C conf
Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios.
ISMIS
Collin Coil, Roberto Corizzo
2024 B conf
Attention-Based Medical Knowledge Injection in Deep Image Classification Models.
IJCNN
Yaning Wu, Nathalie Japkowicz, Sébastien Gilbert, Roberto Corizzo
2024 B conf
Coded Term Discovery for Online Hate Speech Detection.
DSAA
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2024 J jnl
Continual Semi-Supervised Malware Detection.
Mach. Learn. Knowl. Extr.
Matthew Chin, Roberto Corizzo
2024 J jnl
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn.
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024 J jnl
Distributed and explainable GHSOM for anomaly detection in sensor networks.
Mach. Learn.
Paolo Mignone, Roberto Corizzo, Michelangelo Ceci
2024 B conf
Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact Events.
IEEE Big Data
Javad Rajabi, Sunday Okechukwu, Ahmad Mousavi, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas
2024 B conf
Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram Reports.
IEEE Big Data
Arun Rajaratnam, Roberto Corizzo, Zois Boukouvalas
2024 J jnl
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.
Mach. Learn.
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2024 J jnl
From MNIST to ImageNet and back: benchmarking continual curriculum learning.
Mach. Learn.
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2024 J jnl
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
2024 J jnl
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
IEEE Access
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2024 J jnl
Mitigating social bias in sentiment classification via ethnicity-aware algorithmic design.
Soc. Netw. Anal. Min.
Roberto Corizzo, Franziska Sofia Hafner
2024 B conf
Multimodal Deep Learning for Online Meme Classification.
IEEE Big Data
Stephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024 B conf
On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection.
IEEE Big Data
Nora Lewis, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024 J jnl
Stock market prediction with time series data and news headlines: a stacking ensemble approach.
J. Intell. Inf. Syst.
Roberto Corizzo, Jacob Rosen
2024 J jnl
The class imbalance problem in deep learning.
Mach. Learn.
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz
2024 J jnl
TinySubNets: An efficient and low capacity continual learning strategy.
CoRR
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2024 — conf
Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.
ICCS (3)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
Towards efficient deep autoencoders for multivariate time series anomaly detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media.
CoRR
Dhanush Kikkisetti, Raza Ul-Mustafa, Wendy Melillo, Roberto Corizzo, Zois Boukouvalas, Jeff Gill, Nathalie Japkowicz
2023 B conf
A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification.
IJCNN
Roberto Corizzo, Sebastian Leal-Arenas
2023 J jnl
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 A conf
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
ECAI
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 B conf
Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams.
IEEE Big Data
Ian Whitehouse, Rodrigo Yepez-Lopez, Roberto Corizzo
2023 B conf
Distributed Continual Intrusion Detection: A Collaborative Replay Framework.
IEEE Big Data
Kamil Faber, Bartlomiej Sniezynski, Roberto Corizzo
2023 B conf
Explainable Spatio-Temporal Graph Modeling.
DS
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
2023 J jnl
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning.
CoRR
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2023 J jnl
HURI: Hybrid user risk identification in social networks.
World Wide Web (WWW)
Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
2023 — conf
Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.
MLSP
Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas
2023 J jnl
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights.
CoRR
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2023 B conf
Multimodal One-class Learning for Malicious Online Content Detection.
IEEE Big Data
Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas
2023 B conf
One-GPT: A One-Class Deep Fusion Model for Machine-Generated Text Detection.
IEEE Big Data
Roberto Corizzo, Sebastian Leal-Arenas
2023 — conf
Performance Estimation bias in Class Imbalance with Minority Subconcepts.
LIDTA
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2023 B conf
Transformed-*: A domain-incremental lifelong learning scenario generation framework.
IJCNN
Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber
2023 J jnl
VLAD: Task-agnostic VAE-based lifelong anomaly detection.
Neural Networks
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022 A* conf
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
KDD
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
2022 B conf
Active Lifelong Anomaly Detection with Experience Replay.
DSAA
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Nathalie Japkowicz
2022 J jnl
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection.
Knowl. Based Syst.
Roberto Corizzo, Michael Baron, Nathalie Japkowicz
2022 B conf
Distributed Node Classification with Graph Attention Networks.
IEEE Big Data
Roberto Corizzo, Terry Slenn
2022 B conf
Imbalanced Multi-layer Cloud Classification with Advanced Baseline Imager (ABI) and CloudSat/CALIPSO Data.
IEEE Big Data
Leah Ding, Roberto Corizzo, Colin Bellinger, Nancy Ching, Spencer Login, Rodrigo Yepez-Lopez, Jie Gong, Dong L. Wu
2022 B conf
LIFEWATCH: Lifelong Wasserstein Change Point Detection.
IJCNN
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2022 B conf
LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management.
IEEE Big Data
Roberto Corizzo, Rodrigo Yepez-Lopez, Sébastien Gilbert, Nathalie Japkowicz
2022 B conf
Machine Learning for Surgical Risk Assessment Decision Systems.
IJCNN
Myles Russell, Dylan Russell, Roberto Corizzo, Nathalie Japkowicz
2022 — conf
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.
CoLLAs
Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022 B conf
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models.
IEEE Big Data
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
2022 — conf
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
AIMLSystems
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022 J jnl
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.
CoRR
Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022 J jnl
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
CoRR
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2021 B conf
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning.
DS
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2021 — conf
Explainable image analysis for decision support in medical healthcare.
IEEE BigData
Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz
2021 J jnl
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks.
Sensors
Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Sasho Gramatikov, Kosta Mitreski, Vladimir Trajkovik
2021 J jnl
Multi-aspect renewable energy forecasting.
Inf. Sci.
Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama
2021 — conf
On the combined effect of class imbalance and concept complexity in deep learning.
IEEE BigData
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021 J jnl
On the combined effect of class imbalance and concept complexity in deep learning.
CoRR
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021 B conf
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data.
DS
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz
2021 B conf
Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification.
IJCNN
Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2021 — conf
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data.
IEEE BigData
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz
2020 J jnl
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.
Remote. Sens.
Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik
2020 J jnl
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
Sensors
Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga
2020 J jnl
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.
IEEE Access
Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio
2020 B conf
One-Class Ensembles for Rare Genomic Sequences Identification.
DS
Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John R. Bracht, Nathalie Japkowicz
2020 J jnl
ReMix: Calibrated Resampling for Class Imbalance in Deep learning.
CoRR
Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2020 J jnl
Scalable auto-encoders for gravitational waves detection from time series data.
Expert Syst. Appl.
Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
2020 C conf
Short-term air pollution forecasting based on environmental factors and deep learning models.
FedCSIS
Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik
2019 J jnl
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data.
Big Data Res.
Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz
2019 — conf
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.
BigData Congress
Roberto Corizzo, Michelangelo Ceci, Donato Malerba
2019 J jnl
DENCAST: distributed density-based clustering for multi-target regression.
J. Big Data
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2019 C conf
Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts.
ICMLA
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
2019 C conf
Pattern and Anomaly Localization in Complex and Dynamic Data.
ICMLA
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz
2019 J jnl
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.
Inf. Sci.
Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz
2019 J jnl
Spatial autocorrelation and entropy for renewable energy forecasting.
Data Min. Knowl. Discov.
Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
2018 — conf
An OWL Ontology for Supporting Semantic Services in Big Data Platforms.
BigData Congress
Domenico Redavid, Roberto Corizzo, Donato Malerba
2017 — conf
Forecasting via Distributed Density-Based Clustering.
SEBD
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2017 J jnl
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
IEEE Trans. Ind. Informatics
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska
2017 — ed.
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017.
DC@PKDD/ECML
Roberto Corizzo, Dino Ienco
2015 C conf
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.
IDEAS
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska
2015 — conf
VIPOC Project Research Summary (Discussion Paper).
SEBD
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska
2014 — conf
Big Data Techniques For Renewable Energy Market.
SEBD
Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura
2014 C conf
Innovative power operating center management exploiting big data techniques.
IDEAS
Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura