Donato Malerba

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 93

Top Venues

ISMIS

SEBD

J. Intell. Inf. Syst.

AI*IA

Publications

Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS (2024)
Muhammad Imran, Annalisa Appice, Donato Malerba
Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. Future Internet 16 (5) (2024)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
PANACEA: a neural model ensemble for cyber-threat detection. Mach. Learn. 113 (8) (2024)
Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Comput. Secur. 144 (2024)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. J. Intell. Inf. Syst. 62 (3) (2024)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD (2024)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. SAC (2024)
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214 (2023)
Corrado Loglisci, Donato Malerba
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA (2023)
Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro
An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. 61 (2) (2023)
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA (2023)
Corrado Loglisci, Ivan Diliso, Donato Malerba
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD (2023)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. 16 (4) (2023)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA (2023)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS (2023)
Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201 (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Physical Threat Intelligence. itaDATA (2022)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. 15 (4) (2022)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. ISMIS (2022)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
A multi-view deep learning approach for predictive business processes monitoring. SERVICES (2022)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
An XAI-based adversarial training approach for cyber-threat detection. DASC/PiCom/CBDCom/CyberSciTech (2022)
Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello
Leveraging autoencoders in change vector analysis of optical satellite images. J. Intell. Inf. Syst. 58 (3) (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) (2022)
Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba
GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Gener. Comput. Syst. 123 (2021)
Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM (2021)
Annalisa Appice, Angelo Cannarile, Antonella Falini, Donato Malerba, Francesca Mazzia, Cristiano Tamborrino
Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. J. Intell. Inf. Syst. 57 (3) (2021)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Nearest cluster-based intrusion detection through convolutional neural networks. Knowl. Based Syst. 216 (2021)
Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS (2021)
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57 (2) (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. 569 (2021)
Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS (2021)
Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba
Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images. AI*IA (2021)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD (2020)
Annalisa Appice, Giuseppina Andresini, Donato Malerba
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. J. Intell. Inf. Syst. 55 (1) (2020)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access 8 (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94 (2020)
Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba
. EAIS (2020)
Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba
Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. ISMIS (2020)
Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access 8 (2020)
Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba
Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. LOD (1) (2020)
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109 (6) (2020)
Annalisa Appice, Pietro Guccione, Emilio Acciaro, Donato Malerba
Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification. Appl. Intell. 50 (10) (2020)
Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola
Training in a Virtual Learning Environment: A Process Mining Approach. EAIS (2020)
Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS (2020)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
Predictive Process Mining Meets Computer Vision. BPM (Forum) (2020)
Matteo Greco, Michele Spagnoletta, Annalisa Appice, Donato Malerba
Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. MIDAS@PKDD/ECML (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192 (2020)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8 (2020)
Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7 (2019)
Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. 33 (3) (2019)
Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM (2019)
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6 (2019)
Roberto Corizzo, Michelangelo Ceci, Donato Malerba
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress (2019)
Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML (2019)
Annalisa Appice, Nicola Di Mauro, Donato Malerba
Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC (2019)
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops (2019)
Corrado Loglisci, Donato Malerba
Periodicity Detection of Emotional Communities in Microblogging. AI*IA (2019)
Annalisa Appice, Corrado Loglisci, Donato Malerba
Active learning via collective inference in network regression problems. Inf. Sci. (2018)
Annalisa Appice, Antonietta Lanza, Donato Malerba
Wind Speed Forecasting via Structured Output Learning. SEBD (2018)
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA (2018)
Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba
Toward IoT-Friendly Learning Models. ICDCS (2018)
Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS (2018)
Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425 (2018)
Sonja Pravilovic, Annalisa Appice, Donato Malerba
Leveraging correlation across space and time to interpolate geophysical data via CoKriging. Int. J. Geogr. Inf. Sci. 32 (1) (2018)
Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
Distributed Learning of Process Models for Next Activity Prediction. IDEAS (2018)
Annalisa Appice, Antonietta Lanza, Donato Malerba
Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. ISMIS (2018)
Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio Agostino Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani
Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). CISIS (2018)
Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT (2018)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161 (2018)
Domenico Redavid, Roberto Corizzo, Donato Malerba
An OWL Ontology for Supporting Semantic Services in Big Data Platforms. BigData Congress (2018)
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Ind. Informatics 13 (3) (2017)
Annalisa Appice, Pietro Guccione, Donato Malerba
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognit. 63 (2017)
Corrado Loglisci, Donato Malerba
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10 (1) (2017)
Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML (2017)
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS (2017)
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
Forecasting via Distributed Density-Based Clustering. SEBD (2017)
Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba
Using multiple time series analysis for geosensor data forecasting. Inf. Sci. 380 (2017)
Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza
Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. AI*IA (2017)
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS (2017)
Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci
Multi-Type Classification from Heterogeneous Networks. SEBD (2016)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML (2016)
Corrado Loglisci, Annalisa Appice, Donato Malerba
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46 (3) (2016)
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
Automatic Generation of Sitemaps Based on Navigation Systems. MOD (2016)
Anna Maria Crespino, Angelo Corallo, Mariangela Lazoi, Donato Barbagallo, Annalisa Appice, Donato Malerba
Anomaly detection in aerospace product manufacturing: Initial remarks. RTSI (2016)
Annalisa Appice, Donato Malerba
A Co-Training Strategy for Multiple View Clustering in Process Mining. IEEE Trans. Serv. Comput. 9 (6) (2016)
Annalisa Appice, Pietro Guccione, Donato Malerba
Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. Mach. Learn. 103 (3) (2016)
Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48 (2) (2016)
Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. 16 (S-9) (2015)
Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science (2015)
NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
Mining Multi-Relational Gradual Patterns. SDM (2015)
Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS (2015)
Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. 44 (3) (2015)
Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba
Discovering and Tracking Organizational Structures in Event Logs. NFMCP (2015)
Corrado Loglisci, Donato Malerba
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Donato Malerba