Giuseppina Andresini

43 papers B 5C 2Misc 1Journal 17Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anakin: explainable android malware detection with graph neural networks.
Cybersecur.
Giuseppina Andresini, Annalisa Appice, Vincenzo Belvedere, Giuseppe Fiameni, Donato Malerba
2026 J jnl
ULISSE: Parameter-efficient adaptation of earth vision models to monitor forest disturbance in sentinel-2 time series.
Ecol. Informatics
Vito Recchia, Giuseppina Andresini, Annalisa Appice, Dino Ienco, Giuseppe Fiameni, Donato Malerba
2025 — conf
Adversarial Training to Improve Accuracy and Robustness of a Windows PE Malware Detection Model.
ITASEC/SERICS
Luca Lobascio, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2025 B conf
Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data.
IJCNN
Giuseppina Andresini, Annalisa Appice, Donato Malerba, Vito Recchia
2025 J jnl
OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware.
Data Min. Knowl. Discov.
Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024 J jnl
A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024 — conf
An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images.
DS (2)
Vito Recchia, Giuseppina Andresini, Annalisa Appice, Gianpietro Fontana, Donato Malerba
2024 J jnl
DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images.
J. Intell. Inf. Syst.
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Vito Recchia
2024 — conf
Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI.
Ital-IA
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024 Misc conf
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory.
SAC
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024 J jnl
PANACEA: a neural model ensemble for cyber-threat detection.
Mach. Learn.
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024 C conf
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images.
IGARSS
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia
2024 J jnl
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation.
Comput. Secur.
Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023 J jnl
$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023 — conf
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.
AI*IA
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie
2023 J jnl
Editorial: AI meets cybersecurity.
J. Intell. Inf. Syst.
Giuseppina Andresini, Annalisa Appice
2023 B conf
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection.
DS
Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 B conf
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection.
DSAA
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023 J jnl
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning.
Expert Syst. Appl.
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba
2023 — conf
Striving for Simplicity in Deep Neural Models Trained for Malware Detection.
PKDD/ECML Workshops (3)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023 — conf
Using Graph Neural Networks for the Detection and Explanation of Network Intrusions.
PKDD/ECML Workshops (3)
Ahmed Rafik El-Mehdi Baahmed, Giuseppina Andresini, Céline Robardet, Annalisa Appice
2022 — conf
An XAI-based adversarial training approach for cyber-threat detection.
DASC/PiCom/CBDCom/CyberSciTech
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2022 J jnl
Leveraging autoencoders in change vector analysis of optical satellite images.
J. Intell. Inf. Syst.
Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello
2022 J jnl
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.
Expert Syst. Appl.
Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio
2022 — conf
Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features.
itaDATA
Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice
2022 C conf
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity.
ISMIS
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021 B conf
A Network Intrusion Detection System for Concept Drifting Network Traffic Data.
DS
Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
2021 — conf
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper).
SEBD
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021 J jnl
Autoencoder-based deep metric learning for network intrusion detection.
Inf. Sci.
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021 J jnl
GAN augmentation to deal with imbalance in imaging-based intrusion detection.
Future Gener. Comput. Syst.
Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba
2021 — conf
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.
AISec@CCS
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021 B conf
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.
DS
Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 J jnl
Nearest cluster-based intrusion detection through convolutional neural networks.
Knowl. Based Syst.
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021 — conf
Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images.
AI*IA
Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba
2020 J jnl
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection.
J. Intell. Inf. Syst.
Annalisa Appice, Giuseppina Andresini, Donato Malerba
2020 — ch.
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification.
Complex Pattern Mining
Giuseppina Andresini, Annalisa Appice, Donato Malerba
2020 J jnl
Multi-Channel Deep Feature Learning for Intrusion Detection.
IEEE Access
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2019 — conf
Exploiting the Auto-Encoder Residual Error for Intrusion Detection.
EuroS&P Workshops
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2018 — conf
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.
AI*IA
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba