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R

Roberto Corizzo

American University

21H-index
111Paper Count
1.6KCitation Count
Published Papers 25
Publication Date
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E-CaTCH: Event-Centric Cross-Modal Attention With Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
errIEEE Transactions on Computational Social Systems
IF4.9
err2026-06-03
err0
PREAI
errAhmad Mousavi; Yeganeh Abdollahinejad; Roberto Corizzo; Nathalie Japkowicz; Zois Boukouvalas
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Localization-aware chest X-ray classification via segmentation and gradient-based attention
errData Mining and Knowledge Discovery
IF4.3
err2026-05-09
err0
errOAAI
errYaning Wu; Nathalie Japkowicz; Sebastien Gilbert; Roberto Corizzo
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Development and Implementation of a Defect Detection Model for Microstructures Using Image Processing Methods
errMaterials
IF3.2
err2026-03-03
err0
errOAAI
errSandra Gajoch; Dorota Wilk-Kołodziejczyk; Łukasz Marcjan; Roberto Corizzo; Adam Bitka; Marcin Małysza; Gerard Skomin
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EMO-CARE: EEG Multi-Scale Temporal Modeling With Channel-Aware Feature Attention for Robust Subject-Independent Emotion Recognition
errIEEE Open Journal of the Computer Society
IF8.2
err2026-01-13
err0
errOAAI
errYeganeh Abdollahinejad; Ahmad Mousavi; Petros Siaplaouras; Zois Boukouvalas; Roberto Corizzo
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Innovative artificial intelligence for practice management in medical healthcare
errEuropean Heart Journal
IF35.6
err2025-06-12
err0
errOAAI
errDominik Zurek; Roberto Corizzo; Lukasz Koltowski
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An end-to-end explainability framework for spatio-temporal predictive modeling
errMACHINE LEARNING
IF2.9
err2025-03-06
err0
errOAAI
errAltieri, Massimiliano; Ceci, Michelangelo; Corizzo, Roberto
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Continual Semi-Supervised Malware Detection
errMACHINE LEARNING AND KNOWLEDGE EXTRACTION
IF6
err2024-12-10
err1
errOAAI
errChin, Matthew; Corizzo, Roberto
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errSave
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-09-01
err1
errOAAI
errAltieri, Massimiliano; Corizzo, Roberto; Ceci, Michelangelo
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Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events (vol 113, pg 2183, 2024)
errMACHINE LEARNING
IF2.9
err2024-06-21
err0
errOAAI
errDamasceno, Lucas P.; Rexhepi, Egzona; Shafer, Allison; Whitehouse, Ian; Japkowicz, Nathalie; Cavalcante, Charles C.; Corizzo, Roberto; Boukouvalas, Zois
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errSave
From MNIST to ImageNet and back: benchmarking continual curriculum learning
errMACHINE LEARNING
IF2.9
err2024-04-22
err3
errOAAI
errFaber, Kamil; Zurek, Dominik; Pietron, Marcin; Japkowicz, Nathalie; Vergari, Antonio; Corizzo, Roberto
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errSave
Distributed and explainable GHSOM for anomaly detection in sensor networks
errMACHINE LEARNING
IF2.9
err2024-01-22
err4
errOAAI
errMignone, Paolo; Corizzo, Roberto; Ceci, Michelangelo
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errSave
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-01-01
err0
errOAAI
errPietron, Marcin; Zurek, Dominik; Faber, Kamil; Corizzo, Roberto
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errSave
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
errIEEE ACCESS
IF3.6
err2024-01-01
err8
errOAAI
errFaber, Kamil; Corizzo, Roberto; Sniezynski, Bartlomiej; Japkowicz, Nathalie
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errSave
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events
errMACHINE LEARNING
IF2.9
err2023-11-29
err1
PREAI
errDamasceno, Lucas P.; Rexhepi, Egzona; Shafer, Allison; Whitehouse, Ian; Japkowicz, Nathalie; Cavalcante, Charles C.; Corizzo, Roberto; Boukouvalas, Zois
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errSave
VLAD: Task-agnostic VAE-based lifelong anomaly detection
errNEURAL NETWORKS
IF6.3
err2023-08-01
err8
errOAAI
errFaber, Kamil; Corizzo, Roberto; Sniezynski, Bartlomiej; Japkowicz, Nathalie
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errSave
The class imbalance problem in deep learning
errMACHINE LEARNING
IF2.9
err2022-12-28
err35
errOAAI
errGhosh, Kushankur; Bellinger, Colin; Corizzo, Roberto; Branco, Paula; Krawczyk, Bartosz; Japkowicz, Nathalie
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errSave
CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection
errKNOWLEDGE-BASED SYSTEMS
IF7.6
err2022-07-01
err9
errOAAI
errCorizzo, Roberto; Baron, Michael; Japkowicz, Nathalie
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errSave
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks
errSENSORS
IF3.5
err2021-02-10
err25
errOAAI
errArsov, Mirche; Zdravevski, Eftim; Lameski, Petre; Corizzo, Roberto; Koteli, Nikola; Gramatikov, Sasho; Mitreski, Kosta; Trajkovik, Vladimir
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errSave
Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
errBIOLOGY-BASEL
IF3.5
err2020-12-09
err16
errOAAI
errTonkovic, Petar; Kalajdziski, Slobodan; Zdravevski, Eftim; Lameski, Petre; Corizzo, Roberto; Pires, Ivan Miguel; Garcia, Nuno M.; Loncar-Turukalo, Tatjana; Trajkovik, Vladimir
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Scalable auto-encoders for gravitational waves detection from time series data
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2020-08-01
err32
PREAI
errCorizzo, Roberto; Ceci, Michelangelo; Zdravevski, Eftim; Japkowicz, Nathalie
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Research Directions

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Co-authors
Cooperation Journals
S
Sébastien Gilbert
H-index: 57 · Papers: 207
N
Nathalie Japkowicz
H-index: 46 · Papers: 246
B
Bartosz Krawczyk
H-index: 41 · Papers: 250
D
Donato Malerba
H-index: 40 · Papers: 425
M
Michelangelo Ceci
H-index: 34 · Papers: 274
View more