Donato Malerba

375 papers A* 2A 19B 32C 48Misc 8Journal 96Unranked 150

Year	Rank	Type	Title / 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`	Multimodal predictive process monitoring and its application to explainable clinical pathways. Inf. Syst. Vincenzo Pasquadibisceglie, Ivan Donadello, Annalisa Appice, Oswald Lanz, Fabrizio Maria Maggi, Giuseppe Fiameni, Donato Malerba
2026	J	`jnl`	QURIOSO: Quantum gate parameter predictIon through quantum-enhanced long-short term memory. Quantum Mach. Intell. Corrado Loglisci, Vito Nicola Losavio, Saverio Pascazio, 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	J	`jnl`	Balancing Protection and Quality in Big Data Analytics Pipelines. Big Data Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, Claudio A. Ardagna
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	Misc	`conf`	GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images. SAC Vincenzo Pasquadibisceglie, Vito Recchia, Annalisa Appice, Donato Malerba, Giuseppe Fiameni
2025	—	`conf`	Leveraging Triplet Autoencoders with Quantum Tensor Networks for Multiclass Image Classification. AIQxQIA@ECAI Vito Nicola Losavio, Maria Grazia Miccoli, Donato Malerba
2025	B	`conf`	Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution. ICPM Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanni Discanno, Donato Malerba
2025	J	`jnl`	Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients. Expert Syst. Appl. Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba, Giuseppe Fiameni
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
2025	—	`conf`	Using Heterogeneous Graph Neural Networks for Explainable Next-Activity Prediction. SEBD Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024	J	`jnl`	${\sf PROPHET}$PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks. IEEE Trans. Serv. Comput. Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, 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	C	`conf`	A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS Vincenzo Pasquadibisceglie, Donato Lucente, 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`	Data-Centric AI. J. Intell. Inf. Syst. Donato Malerba, Vincenzo Pasquadibisceglie
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	—	`conf`	Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024	J	`jnl`	Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. Future Internet Muhammad Imran, Annalisa Appice, Donato Malerba
2024	J	`jnl`	JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction. IEEE Trans. Serv. Comput. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2024	B	`conf`	LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. ICPM Vincenzo Pasquadibisceglie, 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	—	`conf`	Parameter Prediction for Variational Quantum Algorithms through Sequence Modeling (Short Paper). AIQxQIA@AI*IA Corrado Loglisci, Vito Losavio, Berardina De Carolis, Marjana Prifti Skenduli, 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	—	`ed.`	Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. SEBD Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta
2024	J	`jnl`	Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. Quantum Mach. Intell. Corrado Loglisci, Donato Malerba, Saverio Pascazio
2024	J	`jnl`	TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. J. Intell. Inf. Syst. Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba
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`	A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD Corrado Loglisci, Ivan Diliso, Donato Malerba
2023	J	`jnl`	An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro
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	—	`conf`	Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA Corrado Loglisci, Donato Malerba
2023	J	`jnl`	DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2023	B	`conf`	GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
2023	B	`conf`	PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023	—	`ed.`	Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022. itaDATA Marco Anisetti, Angela Bonifati, Nicola Bena, Claudio A. Ardagna, 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	J	`jnl`	STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, 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
2022	J	`jnl`	A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2022	B	`conf`	A multi-view deep learning approach for predictive business processes monitoring. SERVICES Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
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	—	`conf`	Anomaly Detection for Physical Threat Intelligence. itaDATA Paolo Mignone, Donato Malerba, Michelangelo Ceci
2022	—	`conf`	Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) Paolo Mignone, Donato Malerba, Michelangelo Ceci
2022	B	`conf`	Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data Paolo Mignone, Donato Malerba, Michelangelo Ceci
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	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	B	`conf`	FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM Vincenzo Pasquadibisceglie, Giovanna Castellano, 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	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	—	`conf`	Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2021	J	`jnl`	Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. J. Intell. Inf. Syst. Annalisa Appice, Angelo Cannarile, Antonella Falini, Donato Malerba, Francesca Mazzia, Cristiano Tamborrino
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`	Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
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`	A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba
2020	—	`conf`	Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. MIDAS@PKDD/ECML Matteo Greco, Michele Spagnoletta, Annalisa Appice, 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	J	`jnl`	Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, 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`	Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification. Appl. Intell. Annalisa Appice, Pietro Guccione, Emilio Acciaro, Donato Malerba
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020	—	`ch.`	Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	J	`jnl`	Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
2020	C	`conf`	Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, 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
2020	—	`conf`	Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. LOD (1) Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba
2020	J	`jnl`	ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno
2020	—	`conf`	Predictive Process Mining Meets Computer Vision. BPM (Forum) Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2020	—	`conf`	Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures EAIS Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba
2020	C	`conf`	Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. ISMIS Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba
2020	—	`conf`	Training in a Virtual Learning Environment: A Process Mining Approach. EAIS Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola
2020	—	`conf`	jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	J	`jnl`	jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
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	—	`conf`	Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, 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
2019	—	`conf`	Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC Annalisa Appice, Nicola Di Mauro, Donato Malerba
2019	—	`conf`	Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
2019	—	`conf`	Periodicity Detection of Emotional Communities in Microblogging. AI*IA Corrado Loglisci, Donato Malerba
2019	J	`jnl`	Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
2019	J	`jnl`	Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba
2019	B	`conf`	Using Convolutional Neural Networks for Predictive Process Analytics. ICPM Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba
2018	J	`jnl`	Active learning via collective inference in network regression problems. Inf. Sci. Annalisa Appice, Corrado Loglisci, Donato Malerba
2018	—	`conf`	An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
2018	—	`conf`	An OWL Ontology for Supporting Semantic Services in Big Data Platforms. BigData Congress Domenico Redavid, Roberto Corizzo, Donato Malerba
2018	—	`conf`	Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba
2018	C	`conf`	Distributed Learning of Process Models for Next Activity Prediction. IDEAS Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
2018	C	`conf`	Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. ISMIS Annalisa Appice, Antonietta Lanza, Donato Malerba
2018	J	`jnl`	Leveraging correlation across space and time to interpolate geophysical data via CoKriging. Int. J. Geogr. Inf. Sci. Sonja Pravilovic, Annalisa Appice, Donato Malerba
2018	J	`jnl`	Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2018	J	`jnl`	Multi-type clustering and classification from heterogeneous networks. Inf. Sci. Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci
2018	—	`ch.`	Relational Data Mining in the Era of Big Data. A Comprehensive Guide Through the Italian Database Research Annalisa Appice, Michelangelo Ceci, Donato Malerba
2018	Misc	`conf`	Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). CISIS Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani
2018	A	`conf`	Toward IoT-Friendly Learning Models. ICDCS Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba
2018	C	`conf`	User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2018	—	`conf`	Wind Speed Forecasting via Structured Output Learning. SEBD Annalisa Appice, Antonietta Lanza, Donato Malerba
2017	J	`jnl`	A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognit. Annalisa Appice, Pietro Guccione, Donato Malerba
2017	C	`conf`	Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
2017	—	`conf`	Forecasting via Distributed Density-Based Clustering. SEBD Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2017	—	`conf`	Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
2017	B	`conf`	LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
2017	J	`jnl`	Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. Corrado Loglisci, Donato Malerba
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski
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	—	`conf`	Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. AI*IA Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza
2017	J	`jnl`	Using multiple time series analysis for geosensor data forecasting. Inf. Sci. Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba
2016	J	`jnl`	A Co-Training Strategy for Multiple View Clustering in Process Mining. IEEE Trans. Serv. Comput. Annalisa Appice, Donato Malerba
2016	—	`conf`	Anomaly detection in aerospace product manufacturing: Initial remarks. RTSI Anna Maria Crespino, Angelo Corallo, Mariangela Lazoi, Donato Barbagallo, Annalisa Appice, Donato Malerba
2016	—	`conf`	Automatic Generation of Sitemaps Based on Navigation Systems. MOD Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
2016	J	`jnl`	CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
2016	J	`jnl`	Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. Corrado Loglisci, Annalisa Appice, Donato Malerba
2016	B	`ed.`	Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings DS Toon Calders, Michelangelo Ceci, Donato Malerba
2016	—	`conf`	Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2016	—	`conf`	Multi-Type Classification from Heterogeneous Networks. SEBD Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci
2016	J	`jnl`	Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. Mach. Learn. Annalisa Appice, Pietro Guccione, Donato Malerba
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	J	`jnl`	ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia
2015	—	`conf`	Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba
2015	C	`conf`	Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS Corrado Loglisci, Bachir Balech, Donato Malerba
2015	—	`conf`	Discovering and Tracking Organizational Structures in Event Logs. NFMCP Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba
2015	J	`jnl`	Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2015	B	`conf`	Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2015	A	`conf`	Mining Multi-Relational Gradual Patterns. SDM NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
2015	—	`conf`	Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP Corrado Loglisci, Donato Malerba
2015	J	`jnl`	Relational mining for discovering changes in evolving networks. Neurocomputing Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2015	J	`jnl`	Summarizing numeric spatial data streams by trend cluster discovery. Data Min. Knowl. Discov. Annalisa Appice, Anna Ciampi, Donato Malerba
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
2015	B	`conf`	Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. Discovery Science Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba
2014	C	`conf`	A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. ISMIS Fabio Fumarola, Annalisa Appice, Donato Malerba
2014	—	`conf`	A parallel algorithm for approximate frequent itemset mining using MapReduce. HPCS Fabio Fumarola, Donato Malerba
2014	C	`conf`	Automatic Extraction of Logical Web Lists. ISMIS Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba
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`	Collective Inference for Handling Autocorrelation in Network Regression. ISMIS Corrado Loglisci, Annalisa Appice, Donato Malerba
2014	B	`conf`	Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba
2014	—	`book`	Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance. Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba
2014	J	`jnl`	Dealing with temporal and spatial correlations to classify outliers in geophysical data streams. Inf. Sci. Annalisa Appice, Pietro Guccione, Donato Malerba, Anna Ciampi
2014	J	`jnl`	Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci
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
2014	C	`conf`	Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. ISMIS Sonja Pravilovic, Annalisa Appice, Donato Malerba
2014	J	`jnl`	Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinform. Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci
2014	—	`conf`	Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
2014	J	`jnl`	Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering. Data Min. Knowl. Discov. Annalisa Appice, Donato Malerba
2014	—	`conf`	Mining Cluster-Based Models of Time Series for Wind Power Prediction. SEBD Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba
2014	C	`conf`	Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS Corrado Loglisci, Donato Malerba
2014	C	`conf`	Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
2014	—	`conf`	Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos
2014	J	`jnl`	Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae Annalisa Appice, Michelangelo Ceci, Donato Malerba
2014	—	`conf`	Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3) Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
2014	—	`conf`	Network Regression in Collective Inference Setting. SEBD Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba
2014	B	`conf`	Wind Power Forecasting Using Time Series Cluster Analysis. Discovery Science Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba
2013	J	`jnl`	A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	—	`conf`	An Intelligent Technique for Forecasting Spatially Correlated Time Series. AI*IA Sonja Pravilovic, Annalisa Appice, Donato Malerba
2013	J	`jnl`	Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2013	—	`conf`	EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci
2013	—	`conf`	Enhancing Regression Models with Spatio-temporal Indicator Additions. AI*IA Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza
2013	—	`conf`	HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	J	`jnl`	Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro
2013	B	`conf`	Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2013	—	`conf`	Predictive Regional Trees to Supplement Geo-Physical Random Fields. CORES Annalisa Appice, Sonja Pravilovic, Donato Malerba
2013	—	`conf`	Process Mining to Forecast the Future of Running Cases. NFMCP Sonja Pravilovic, Annalisa Appice, Donato Malerba
2013	J	`jnl`	Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2013	J	`jnl`	Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. J. Spatial Inf. Sci. Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione
2012	—	`conf`	An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
2012	—	`conf`	Continuously Mining Sliding Window Trend Clusters in a Sensor Network. DEXA (2) Annalisa Appice, Donato Malerba, Anna Ciampi
2012	—	`conf`	Discovering Evolution Chains in Dynamic Networks. NFMCP Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Document Image Understanding through Iterative Transductive Learning. IRCDL Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia
2012	J	`jnl`	Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011. Data Min. Knowl. Discov. Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis
2012	J	`jnl`	Guest editors' introduction: special issue of selected papers from ECML PKDD 2011. Mach. Learn. Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis
2012	A	`conf`	Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba
2012	C	`conf`	Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. W2GIS Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba
2012	—	`conf`	Learning to Rank from Concept-Drifting Network Data Streams. DEXA (1) Lucrezia Macchia, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Mining Ranking Models from Dynamic Network Data. MLDM Lucrezia Macchia, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Mining Temporal Evolution of Criminal Behaviors. SEBD Gianvito Pio, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba
2012	—	`conf`	Transductive Relational Classification in the Co-training Paradigm. MLDM Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo
2012	Misc	`conf`	Trend cluster based interpolation everywhere in a sensor network. SAC Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo
2012	—	`conf`	Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages. MSM/MUSE Annalisa Appice, Donato Malerba, Antonietta Lanza
2011	—	`conf`	A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2011	J	`jnl`	A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba
2011	C	`conf`	Discovering process models through relational disjunctive patterns mining. CIDM Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	—	`conf`	Extracting General Lists from Web Documents: A Hybrid Approach. IEA/AIE (1) Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han
2011	C	`conf`	FAST Sequence Mining Based on Sparse Id-Lists. ISMIS Eliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han
2011	B	`conf`	Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2011	—	`conf`	Growing parallel paths for entity-page discovery. WWW (Companion Volume) Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba
2011	—	`conf`	HyLiEn: a hybrid approach to general list extraction on the web. WWW (Companion Volume) Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han
2011	—	`conf`	Learning and Transferring Geographically Weighted Regression Trees across Time. MSM/MUSE Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza
2011	—	`conf`	MBlab: Molecular Biodiversity Laboratory. IRCDL Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II ECML/PKDD (2) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III ECML/PKDD (3) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I ECML/PKDD (1) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2011	—	`ch.`	Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba
2011	—	`conf`	OLAP over Continuous Domains via Density-Based Hierarchical Clustering. KES (2) Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2011	—	`conf`	Process Mining Manifesto. Business Process Management Workshops (1) Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan E. Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn
2011	—	`conf`	Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba
2011	—	`conf`	Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	C	`conf`	Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS Donato Malerba, Michelangelo Ceci, Annalisa Appice
2011	C	`conf`	Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. ISMIS Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo
2011	—	`conf`	Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. SEBD Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2011	—	`ch.`	Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents Michelangelo Ceci, Corrado Loglisci, Donato Malerba
2011	—	`conf`	Trend Cluster Based Kriging Interpolation in Sensor Data Networks. MSM/MUSE Pietro Guccione, Annalisa Appice, Anna Ciampi, Donato Malerba
2011	C	`conf`	Trend cluster based compression of geographically distributed data streams. CIDM Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione
2010	B	`conf`	A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Clustering Spatio-Temporal Data Streams. SEBD Anna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione
2010	Misc	`conf`	Complex objects ranking: a relational data mining approach. SAC Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba
2010	—	`conf`	Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	A	`conf`	Mapping web pages to database records via link paths. CIKM Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba
2010	A	`conf`	Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. MSM/MUSE Anna Ciampi, Annalisa Appice, Donato Malerba
2010	—	`conf`	Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso
2010	—	`conf`	Summarization for Geographically Distributed Data Streams. KES (3) Anna Ciampi, Annalisa Appice, Donato Malerba
2010	A	`conf`	Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI Michelangelo Ceci, Annalisa Appice, Donato Malerba
2010	—	`ch.`	Transductive Learning for Spatial Data Classification. Advances in Machine Learning I Michelangelo Ceci, Annalisa Appice, Donato Malerba
2010	Misc	`conf`	Transductive learning for spatial regression with co-training. SAC Annalisa Appice, Michelangelo Ceci, Donato Malerba
2010	J	`jnl`	Unexpected results in automatic list extraction on the web. SIGKDD Explor. Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba
2009	C	`conf`	A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2009	—	`conf`	A Relational Approach to Novelty Detection in Data Streams. SEBD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba
2009	B	`conf`	A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba
2009	B	`conf`	A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME Corrado Loglisci, Donato Malerba
2009	J	`jnl`	A relational approach to probabilistic classification in a transductive setting. Eng. Appl. Artif. Intell. Donato Malerba, Michelangelo Ceci, Annalisa Appice
2009	B	`conf`	An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science Annalisa Appice, Michelangelo Ceci, Donato Malerba
2009	—	`conf`	Approximate Frequent Itemset Discovery from Data Stream. AI*IA Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba
2009	J	`jnl`	Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia
2009	—	`conf`	Mining Frequent Patterns of Biological Spaced Motifs. SEBD Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia
2009	—	`conf`	Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM Corrado Loglisci, Donato Malerba
2009	—	`conf`	Mining preference relations to rank complex object. SEBD Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba
2009	C	`conf`	Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba
2009	—	`conf`	Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba
2009	—	`conf`	Spatial Regression in the Transductive Setting. SEBD Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba
2008	C	`conf`	A Grid-Based Multi-relational Approach to Process Mining. DEXA Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba
2008	—	`conf`	A KDD Platform Based on the Application Service Provider Paradigm. ICDM Workshops Fabio Fumarola, Eliana Salvemini, Donato Malerba
2008	J	`jnl`	A relational perspective on spatial data mining. Int. J. Data Min. Model. Manag. Donato Malerba
2008	C	`conf`	Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba
2008	C	`conf`	Discovering Explanations from Longitudinal Data. ISMIS Corrado Loglisci, Donato Malerba
2008	—	`conf`	Discovering Triggering Events from Longitudinal Data. ICDM Workshops Corrado Loglisci, Donato Malerba
2008	—	`conf`	Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba
2008	C	`conf`	Emerging Pattern Based Classification in Relational Data Mining. DEXA Michelangelo Ceci, Annalisa Appice, Donato Malerba
2008	—	`conf`	Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. ICDM Workshops Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi
2008	—	`conf`	KD-ASP - A distributed collaborative data mining platform. SEBD Fabio Fumarola, Eliana Salvemini, Donato Malerba
2008	—	`ch.`	Machine Learning for Reading Order Detection in Document Image Understanding. Machine Learning in Document Analysis and Recognition Donato Malerba, Michelangelo Ceci, Margherita Berardi
2008	—	`conf`	Relational Classification based on Emerging Patterns. SEBD Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba
2008	—	`ch.`	Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof
2008	C	`conf`	Stepwise Induction of Logistic Model Trees. ISMIS Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara
2008	B	`conf`	Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP Annalisa Appice, Michelangelo Ceci, Donato Malerba
2007	A	`conf`	A Data Mining Approach to Reading Order Detection. ICDAR Michelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba
2007	—	`conf`	A Data Mining Methodology for Anomaly Detection in Network Data. KES (2) Costantina Caruso, Donato Malerba
2007	—	`conf`	An Integrated Platform for Spatial Data Mining within a GIS Environment. ICDE Workshops Annalisa Appice, Antonietta Lanza, Donato Malerba
2007	J	`jnl`	Classifying web documents in a hierarchy of categories: a comprehensive study. J. Intell. Inf. Syst. Michelangelo Ceci, Donato Malerba
2007	—	`conf`	Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2007	—	`conf`	Discovering Relational Emerging Patterns. AI*IA Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba
2007	J	`jnl`	Introduction to the special issue. Appl. Intell. Floriana Esposito, Donato Malerba, Giovanni Semeraro
2007	—	`conf`	Learning to Order: A Relational Approach. MCD Donato Malerba, Michelangelo Ceci
2007	—	`ed.`	Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy SEBD Michelangelo Ceci, Donato Malerba, Letizia Tanca
2007	J	`jnl`	Relational Data Mining and ILP for Document Image Understanding. Appl. Artif. Intell. Michelangelo Ceci, Margherita Berardi, Donato Malerba
2007	—	`conf`	Transductive Learning from Relational Data. MLDM Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba
2007	J	`jnl`	Using colour information to understand censorship cards of film archives. Int. J. Document Anal. Recognit. Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro
2006	J	`jnl`	Classification of symbolic objects: A lazy learning approach. Intell. Data Anal. Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba
2006	—	`conf`	Classifying Aggregated Data: a Symbolic Data Analysis Approach. SEBD Annalisa Appice, Floriana Esposito, Donato Malerba
2006	C	`ed.`	Foundations of Intelligent Systems, 16th International Symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006, Proceedings ISMIS Floriana Esposito, Zbigniew W. Ras, Donato Malerba, Giovanni Semeraro
2006	B	`conf`	Learning Recursive Patterns for Biomedical Information Extraction. ILP Margherita Berardi, Donato Malerba
2006	—	`conf`	Mining Information Extraction Models for HmtDB annotation. ICDM Workshops Margherita Berardi, Donato Malerba, Marcella Attimonelli
2006	J	`jnl`	Mining spatio-temporal data. J. Intell. Inf. Syst. Gennady L. Andrienko, Donato Malerba, Michael May, Maguelonne Teisseire
2006	—	`conf`	Relational Data Mining Techniques for Historical Document Processing. SEBD Michelangelo Ceci, Donato Malerba
2005	A	`conf`	A color-based layout analysis to process censorship cards of film archives. ICDAR Margherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba
2005	C	`conf`	Learning the Daily Model of Network Traffic. ISMIS Costantina Caruso, Donato Malerba, Davide Papagni
2005	—	`conf`	Mining Model Trees from Spatial Data. PKDD Donato Malerba, Michelangelo Ceci, Annalisa Appice
2005	—	`conf`	Mining Relational Association Rules for Propositional Classification. AI*IA Annalisa Appice, Michelangelo Ceci, Donato Malerba
2005	C	`conf`	Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
2005	—	`conf`	Propositionalization Through Relational Association Rules Mining. SEBD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2005	—	`conf`	Relational Clustering with Discrete Spatial Structure. SEBD Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri
2005	A	`conf`	Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. ICDAR Michelangelo Ceci, Margherita Berardi, Donato Malerba
2005	—	`conf`	Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. AI*IA Michelangelo Ceci, Margherita Berardi, Donato Malerba
2005	B	`conf`	Spatial Clustering of Structured Objects. ILP Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza
2004	—	`conf`	A Data Mining Approach to PubMed Query Refinement. DEXA Workshops Margherita Berardi, Michele Lapi, Pietro Leo, Donato Malerba, Caterina Marinelli, Gaetano Scioscia
2004	—	`ch.`	A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications Donato Malerba, Annalisa Appice, Michelangelo Ceci
2004	B	`conf`	An Integrated Approach for Automatic Semantic Structure Extraction in Document Images. Document Analysis Systems Margherita Berardi, Michele Lapi, Donato Malerba
2004	J	`jnl`	Inducing Multi-Level Association Rules from Multiple Relations. Mach. Learn. Francesca A. Lisi, Donato Malerba
2004	—	`conf`	Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro
2004	—	`conf`	Mining interesting spatial association rules: two case studies. SEBD Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi
2004	B	`conf`	On the Effect of Caching in Recursive Theory Learning. ILP Margherita Berardi, Antonio Varlaro, Donato Malerba
2004	—	`conf`	Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2004	J	`jnl`	Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice
2003	—	`conf`	Automated Classification of Web Documents into a Hierarchy of Categories. IIS Michelangelo Ceci, Floriana Esposito, Michele Lapi, Donato Malerba
2003	—	`conf`	Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning. AI*IA Francesca A. Lisi, Donato Malerba
2003	C	`conf`	Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	A	`conf`	Correcting the Document Layout: A Machine Learning Approach. ICDAR Donato Malerba, Floriana Esposito, Oronzo Altamura, Michelangelo Ceci, Margherita Berardi
2003	J	`jnl`	Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba
2003	J	`jnl`	Editor's foreword. J. Vis. Lang. Comput. Maria Francesca Costabile, Donato Malerba
2003	J	`jnl`	Empowering a GIS with inductive learning capabilities: the case of INGENS. Comput. Environ. Urban Syst. Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice
2003	J	`jnl`	Guest-editorial: Mining official data. Intell. Data Anal. Paula Brito, Donato Malerba
2003	A	`conf`	Hierarchical Classification of HTML Documents with WebClassII. ECIR Michelangelo Ceci, Donato Malerba
2003	B	`conf`	Ideal Refinement of Descriptions in AL-Log. ILP Francesca A. Lisi, Donato Malerba
2003	A*	`conf`	Learning Logic Programs for Layout Analysis Correction. ICML Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba
2003	J	`jnl`	Learning Recursive Theories in the Normal ILP Setting. Fundam. Informaticae Donato Malerba
2003	—	`conf`	MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID Annalisa Appice, Michelangelo Ceci, Donato Malerba
2003	—	`conf`	Mining Model Trees with Regression and Splitting Nodes. SEBD Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba
2003	B	`conf`	Mining Model Trees: A Multi-relational Approach. ILP Annalisa Appice, Michelangelo Ceci, Donato Malerba
2003	—	`conf`	Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	—	`conf`	Multi-relational Structural Bayesian Classifier. AI*IA Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna
2003	—	`conf`	Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	—	`conf`	Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi
2003	—	`conf`	Towards Object-Relational Data Mining. SEBD Francesca A. Lisi, Donato Malerba
2003	C	`conf`	XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. DEXA Donato Malerba, Michelangelo Ceci, Margherita Berardi
2002	C	`conf`	Adaptive Layout Analysis of Document Images. ISMIS Donato Malerba, Floriana Esposito, Oronzo Altamura
2002	—	`conf`	Efficient Discovery of Multiple-level Patterns. SEBD Francesca A. Lisi, Donato Malerba
2002	—	`conf`	Estrazione e matching di oggetti simbolici da database relazionali. SEBD Donato Malerba, Francesca Esposito, Marianna Monopoli
2002	—	`conf`	KDB2000: Uno strumento per la scoperta della conoscenza. SEBD Annalisa Appice, Michelangelo Ceci, Donato Malerba
2002	—	`conf`	Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca
2002	—	`conf`	Mining HTML Pages to Support Document Sharing in a Cooperative System. EDBT Workshops Donato Malerba, Floriana Esposito, Michelangelo Ceci
2002	C	`conf`	Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli
2001	Misc	`conf`	A Logical Framework for Frequent Pattern Discovery in Spatial Data. FLAIRS Donato Malerba, Floriana Esposito, Francesca A. Lisi
2001	A	`conf`	Automated Discovery of Dependencies Between Logical Components in Document Image Understanding. ICDAR Donato Malerba, Floriana Esposito, Francesca A. Lisi, Oronzo Altamura
2001	B	`conf`	Discovering Associations between Spatial Objects: An ILP Application. ILP Donato Malerba, Francesca A. Lisi
2001	—	`conf`	First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps. MLDM Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi
2001	—	`conf`	Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci
2001	J	`jnl`	Inductive learning from numerical and symbolic data: An integrated framework. Intell. Data Anal. Floriana Esposito, Donato Malerba, Vittorio Marengo
2001	J	`jnl`	Machine Learning in Computer Vision (Editorial). Appl. Artif. Intell. Floriana Esposito, Donato Malerba
2001	—	`conf`	Mining Association Rules in Spatial Databases: A Logic-based Computational Method. SEBD Donato Malerba, Floriana Esposito, Francesca A. Lisi
2001	Misc	`conf`	Multiple Predicate Learning for Document Image Understanding. FLAIRS Floriana Esposito, Donato Malerba, Francesca A. Lisi
2001	—	`conf`	Stepwise Induction of Model Trees. AI*IA Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta
2001	J	`jnl`	Transforming paper documents into XML format with WISDOM++. Int. J. Document Anal. Recognit. Oronzo Altamura, Floriana Esposito, Donato Malerba
2001	—	`conf`	Web Content Mining with WebClass. SEBD Francesca Esposito, Donato Malerba, Pierpaolo Golia, Luigi Mastrapasqua, Nunzio Mastrapasqua
2000	C	`conf`	Discovering Geographic Knowledge: The INGENS System. ISMIS Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi
2000	B	`conf`	Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions. ILP Floriana Esposito, Donato Malerba, Francesca A. Lisi
2000	J	`jnl`	Machine Learning for Intelligent Processing of Printed Documents. J. Intell. Inf. Syst. Floriana Esposito, Donato Malerba, Francesca A. Lisi
1999	—	`conf`	A Machine Learning Approach to Web Mining. AI*IA Floriana Esposito, Donato Malerba, Luigi Di Pace, Pietro Leo
1999	C	`conf`	Machine Learning for Intelligent Document Processing: The WISDOM System. ISMIS Floriana Esposito, Donato Malerba, Francesca A. Lisi
1999	—	`conf`	Symbolic Learning Techniques in Paper Document Processing. MLDM Oronzo Altamura, Floriana Esposito, Francesca A. Lisi, Donato Malerba
1999	A	`conf`	WISDOM++: An Interactive and Adaptive Document Analysis System. ICDAR Oronzo Altamura, Floriana Esposito, Donato Malerba
1998	J	`jnl`	Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. Int. J. Digit. Libr. Floriana Esposito, Donato Malerba, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli
1998	—	`conf`	Building Metaphors for Supporting User Interaction with Multimedia Databases. VDB Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso
1998	A	`conf`	Learning Recursive Theories with ATRE. ECAI Donato Malerba, Floriana Esposito, Francesca A. Lisi
1998	—	`conf`	Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration. VDB Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso
1997	J	`jnl`	A Comparative Analysis of Methods for Pruning Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. Floriana Esposito, Donato Malerba, Giovanni Semeraro
1997	C	`conf`	A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. LOPSTR Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli
1997	J	`jnl`	Discovering Causal Rules in Relational Databases. Appl. Artif. Intell. Floriana Esposito, Donato Malerba, Vincenza Ripa, Giovanni Semeraro
1997	—	`conf`	Handling Continuous Data in Top-Down Induction of First-Order Rules. AI*IA Donato Malerba, Floriana Esposito, Giovanni Semeraro, Sergio Caggese
1997	—	`conf`	IDL: A Prototypical Intelligent Digital Library Service. AI*IA Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops
1997	A	`conf`	Inductive Inference of First-Order Models from Numeric-Symbolic Data. AISTATS Floriana Esposito, Sergio Caggese, Donato Malerba, Giovanni Semeraro
1997	A	`conf`	Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques. ICDAR Floriana Esposito, Donato Malerba, Giovanni Semeraro, Cesare Daniele Antifora, Gioacchino de Gennaro
1997	C	`conf`	Knowledge Revision for Document Understanding. ISMIS Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli
1997	—	`conf`	Machine Learning + On-line Libraries = IDL. ECDL Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli
1997	J	`jnl`	Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning. Appl. Artif. Intell. Floriana Esposito, Antonietta Lanza, Donato Malerba, Giovanni Semeraro
1997	—	`conf`	Processing Paper Documents with WISDOM. AI*IA Donato Malerba, Floriana Esposito, Giovanni Semeraro, Luca de Filippis
1996	C	`conf`	Locally Finite, Proper and Complete Operators for Refining Datalog Programs. ISMIS Floriana Esposito, Angela Laterza, Donato Malerba, Giovanni Semeraro
1995	A	`conf`	A Further Comparison of Simplification Methods for Decision-Tree Induction. AISTATS Donato Malerba, Floriana Esposito, Giovanni Semeraro
1995	A	`conf`	A knowledge-based approach to the layout analysis. ICDAR Floriana Esposito, Donato Malerba, Giovanni Semeraro
1995	—	`conf`	Downward Refinement of Hierarchical Datalog Theories. GULP-PRODE Floriana Esposito, Nicola Fanizzi, Donato Malerba, Giovanni Semeraro
1995	C	`conf`	Ideal Refinement of Datalog Programs. LOPSTR Giovanni Semeraro, Floriana Esposito, Donato Malerba
1995	—	`conf`	Revision of Logical Theories. AI*IA Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Donato Malerba
1995	—	`conf`	Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract). ECML Floriana Esposito, Donato Malerba, Giovanni Semeraro
1994	—	`conf`	An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. ECML Donato Malerba, Giovanni Semeraro, Floriana Esposito
1994	C	`conf`	Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. LOPSTR Giovanni Semeraro, Floriana Esposito, Donato Malerba, Clifford Brunk, Michael J. Pazzani
1994	C	`conf`	Traps and Pitfalls when Learning Logical Definitions from Relations. ISMIS Floriana Esposito, Donato Malerba, Giovanni Semeraro
1994	J	`jnl`	multistrategy learning for document recognition. Appl. Artif. Intell. Floriana Esposito, Donato Malerba, Giovanni Semeraro
1993	A	`conf`	Automated acquisition of rules for document understanding. ICDAR Floriana Esposito, Donato Malerba, Giovanni Semeraro
1993	—	`conf`	Decision Tree Pruning as a Search in the State Space. ECML Floriana Esposito, Donato Malerba, Giovanni Semeraro
1993	C	`conf`	Machine Learning Techniques for Knowledge Acquisition and Refinement. SEKE Floriana Esposito, Donato Malerba, Giovanni Semeraro
1993	—	`conf`	Negation as a Specializing Operator. AI*IA Floriana Esposito, Donato Malerba, Giovanni Semeraro
1992	J	`jnl`	Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. Floriana Esposito, Donato Malerba, Giovanni Semeraro
1991	A*	`conf`	Flexible Matching for Noisy Structural Descriptions. IJCAI Floriana Esposito, Donato Malerba, Giovanni Semeraro
1990	C	`conf`	A Distance Measure for Decision Making in Uncertain Domains. IPMU Floriana Esposito, Donato Malerba, Giovanni Semeraro
1990	—	`conf`	An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization. ICPR (1) Floriana Esposito, Donato Malerba, Giovanni Semeraro, Enrico Annese, Giovanna Scafuro