| 2026 | ISMIS | Predictive Process Monitoring Through the Lens of Deep Online Learning. | Vincenzo Pasquadibisceglie, Simone Capone, Annalisa Appice, Donato Malerba |
| 2026 | ISMIS | Counterfactuals to Manage Ongoing Business Process Deviances. | Vincenzo Pasquadibisceglie, Rossella Anna Giansante, Annalisa Appice, Donato Malerba |
| 2025 | ICPM | Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanni Discanno, Donato Malerba |
| 2025 | IJCNN | Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data. | Giuseppina Andresini, Annalisa Appice, Donato Malerba, Vito Recchia |
| 2025 | SAC | GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images. | Vincenzo Pasquadibisceglie, Vito Recchia, Annalisa Appice, Donato Malerba, Giuseppe Fiameni |
| 2024 | DIS | An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images. | Vito Recchia, Giuseppina Andresini, Annalisa Appice, Gianpietro Fontana, Donato Malerba |
| 2024 | ICPM | LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. | Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba |
| 2024 | IGARSS | Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. | Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia |
| 2024 | SAC | Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. | Giuseppina Andresini, Annalisa Appice, Donato Malerba |
| 2023 | DIS | GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. | Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba |
| 2023 | DSAA | PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. | Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba |
| 2022 | DASC | An XAI-based adversarial training approach for cyber-threat detection. | Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba |
| 2022 | ISMIS | XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. | Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba |
| 2022 | SERVICES | A multi-view deep learning approach for predictive business processes monitoring. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba |
| 2021 | BPM | Leveraging Multi-view Deep Learning for Next Activity Prediction. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba |
| 2021 | CCS | INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. | Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro |
| 2021 | DIS | A Network Intrusion Detection System for Concept Drifting Network Traffic Data. | Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba |
| 2021 | DIS | Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. | Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba |
| 2021 | ICPM | FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. | Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba |
| 2020 | BPM | Predictive Process Mining Meets Computer Vision. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba |
| 2020 | ISMIS | Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. | Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba |
| 2019 | ICPM | Using Convolutional Neural Networks for Predictive Process Analytics. | Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba |
| 2018 | ISMIS | Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. | Annalisa Appice, Antonietta Lanza, Donato Malerba |
| 2016 | DIS | Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification. | Annalisa Appice, Pietro Guccione |
| 2015 | DIS | Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. | Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba |
| 2014 | DIS | Wind Power Forecasting Using Time Series Cluster Analysis. | Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba |
| 2014 | ISMIS | A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. | Fabio Fumarola, Annalisa Appice, Donato Malerba |
| 2014 | ISMIS | Collective Inference for Handling Autocorrelation in Network Regression. | Corrado Loglisci, Annalisa Appice, Donato Malerba |
| 2014 | ISMIS | Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. | Sonja Pravilovic, Annalisa Appice, Donato Malerba |
| 2012 | DEXA | Continuously Mining Sliding Window Trend Clusters in a Sensor Network. | Annalisa Appice, Donato Malerba, Anna Ciampi |
| 2012 | SAC | Trend cluster based interpolation everywhere in a sensor network. | Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo |
| 2012 | W2GIS | Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. | Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba |
| 2011 | CIDM | Trend cluster based compression of geographically distributed data streams. | Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione |
| 2011 | CIDM | Discovering process models through relational disjunctive patterns mining. | Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba |
| 2011 | DIS | Global and Local Spatial Autocorrelation in Predictive Clustering Trees. | Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski |
| 2011 | ISMIS | Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. | Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo |
| 2011 | ISMIS | Relational Mining in Spatial Domains: Accomplishments and Challenges. | Donato Malerba, Michelangelo Ceci, Annalisa Appice |
| 2010 | ECAI | Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. | Michelangelo Ceci, Annalisa Appice, Donato Malerba |
| 2010 | KES | Summarization for Geographically Distributed Data Streams. | Anna Ciampi, Annalisa Appice, Donato Malerba |
| 2010 | SAC | Transductive learning for spatial regression with co-training. | Annalisa Appice, Michelangelo Ceci, Donato Malerba |
| 2010 | SAC | Complex objects ranking: a relational data mining approach. | Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba |
| 2009 | DIS | An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. | Annalisa Appice, Michelangelo Ceci, Donato Malerba |
| 2009 | DIS | A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. | Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba |
| 2009 | ISMIS | Novelty Detection from Evolving Complex Data Streams with Time Windows. | Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba |
| 2008 | DEXA | Emerging Pattern Based Classification in Relational Data Mining. | Michelangelo Ceci, Annalisa Appice, Donato Malerba |
| 2008 | DEXA | A Grid-Based Multi-relational Approach to Process Mining. | Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba |
| 2008 | ICDM | Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. | Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi |
| 2008 | ILP | Top-Down Induction of Relational Model Trees in Multi-instance Learning. | Annalisa Appice, Michelangelo Ceci, Donato Malerba |
| 2008 | ISMIS | Stepwise Induction of Logistic Model Trees. | Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara |
| 2008 | ISMIS | Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. | Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba |
| 2007 | ICDE | An Integrated Platform for Spatial Data Mining within a GIS Environment. | Annalisa Appice, Antonietta Lanza, Donato Malerba |
| 2006 | ISMIS | Mining Tolerance Regions with Model Trees. | Annalisa Appice, Michelangelo Ceci |
| 2006 | ISMIS | Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. | Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo |
| 2005 | ILP | Spatial Clustering of Structured Objects. | Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza |
| 2005 | ISMIS | Mining and Filtering Multi-level Spatial Association Rules with ARES. | Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba |
| 2004 | ICML | Redundant feature elimination for multi-class problems. | Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach |
| 2003 | ILP | Mining Model Trees: A Multi-relational Approach. | Annalisa Appice, Michelangelo Ceci, Donato Malerba |
| 2003 | ISMIS | Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. | Michelangelo Ceci, Annalisa Appice, Donato Malerba |
| 2002 | ISMIS | Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. | Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli |