Annalisa Appice

210 papers A* 1A 1B 20C 25Misc 5Journal 60Unranked 81

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`	Special issue on intelligent systems, ISMIS'24 selected papers. J. Intell. Inf. Syst. Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali
2026	J	`jnl`	ULISSE: Parameter-efficient adaptation of earth vision models to monitor forest disturbance in sentinel-2 time series. Ecol. Informatics Vito Recchia, Giuseppina Andresini, Annalisa Appice, Dino Ienco, Giuseppe Fiameni, Donato Malerba
2025	—	`conf`	Adversarial Training to Improve Accuracy and Robustness of a Windows PE Malware Detection Model. ITASEC/SERICS Luca Lobascio, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2025	B	`conf`	Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data. IJCNN Giuseppina Andresini, Annalisa Appice, Donato Malerba, Vito Recchia
2025	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	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	—	`conf`	An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images. DS (2) Vito Recchia, Giuseppina Andresini, Annalisa Appice, Gianpietro Fontana, Donato Malerba
2024	J	`jnl`	DIAMANTE: A data-centric semantic segmentation approach to map tree dieback induced by bark beetle infestations via satellite images. J. Intell. Inf. Syst. Giuseppina Andresini, Annalisa Appice, Dino Ienco, Vito Recchia
2024	—	`conf`	Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI. Ital-IA Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2024	—	`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	C	`ed.`	Foundations of Intelligent Systems - 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings ISMIS Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew W. Ras
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	C	`conf`	Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. IGARSS Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia
2024	J	`jnl`	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	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	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	J	`jnl`	Editorial: AI meets cybersecurity. J. Intell. Inf. Syst. Giuseppina Andresini, Annalisa Appice
2023	B	`conf`	GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	B	`conf`	PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2023	J	`jnl`	SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba
2023	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
2023	—	`conf`	Using Graph Neural Networks for the Detection and Explanation of Network Intrusions. PKDD/ECML Workshops (3) Ahmed Rafik El-Mehdi Baahmed, Giuseppina Andresini, Céline Robardet, Annalisa Appice
2022	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	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`	PROMISE: Coupling predictive process mining to process discovery. Inf. Sci. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst
2022	J	`jnl`	ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio
2022	—	`conf`	Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features. itaDATA Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice
2022	C	`conf`	XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. ISMIS Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021	B	`conf`	A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
2021	—	`conf`	A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021	—	`conf`	AI meets Cybersecurity. FMEC Annalisa Appice
2021	J	`jnl`	Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. Giuseppina Andresini, Annalisa Appice, Donato Malerba
2021	—	`conf`	Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost. PKDD/ECML Workshops (2) Malik Al-Essa, Annalisa Appice
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	—	`conf`	INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
2021	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	J	`jnl`	Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
2021	—	`conf`	Keynote 4. SDS Annalisa Appice
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	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	—	`book`	Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
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	B	`ed.`	Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings DS Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin
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	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
2019	—	`conf`	Activity Prediction of Business Process Instances with Inception CNN Models. AI*IA Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile
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	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	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	—	`ed.`	New Frontiers in Mining Complex Patterns - 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers NFMCP@PKDD/ECML Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
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	J	`jnl`	Towards mining the organizational structure of a dynamic event scenario. J. Intell. Inf. Syst. Annalisa Appice
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	`ed.`	Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings ISMIS Marzena Kryszkiewicz, Annalisa Appice, Dominik Slezak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Ras
2017	—	`ed.`	New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers NFMCP@ECML/PKDD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras
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	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	`conf`	Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification. DS Annalisa Appice, Pietro Guccione
2016	J	`jnl`	Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
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	—	`conf`	Discovering and Tracking Organizational Structures in Event Logs. NFMCP Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba
2015	J	`jnl`	Iterative Hyperspectral Image Classification Using Spectral-Spatial Relational Features. IEEE Trans. Geosci. Remote. Sens. Pietro Guccione, Luigi Mascolo, Annalisa Appice
2015	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I ECML/PKDD (1) Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge
2015	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II ECML/PKDD (2) Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares
2015	—	`ed.`	New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2015	J	`jnl`	Summarizing numeric spatial data streams by trend cluster discovery. Data Min. Knowl. Discov. Annalisa Appice, Anna Ciampi, Donato Malerba
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	C	`conf`	Collective Inference for Handling Autocorrelation in Network Regression. ISMIS Corrado Loglisci, Annalisa Appice, 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	C	`conf`	Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. ISMIS Sonja Pravilovic, Annalisa Appice, 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	J	`jnl`	Mining complex patterns. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
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 Regression in Collective Inference Setting. SEBD Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba
2014	—	`ed.`	New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2014	B	`conf`	Wind Power Forecasting Using Time Series Cluster Analysis. Discovery Science Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, 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`	Enhancing Regression Models with Spatio-temporal Indicator Additions. AI*IA Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza
2013	—	`ed.`	New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
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 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`	Continuously Mining Sliding Window Trend Clusters in a Sensor Network. DEXA (2) Annalisa Appice, Donato Malerba, Anna Ciampi
2012	C	`conf`	Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. W2GIS Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba
2012	J	`jnl`	Network regression with predictive clustering trees. Data Min. Knowl. Discov. Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
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	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	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`	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	—	`conf`	Network Regression with Predictive Clustering Trees. ECML/PKDD (3) Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
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`	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	—	`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 Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA Annalisa Appice, Michelangelo Ceci, Corrado Loglisci
2010	—	`conf`	Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. MSM/MUSE Anna Ciampi, Annalisa Appice, 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
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	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	—	`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	C	`conf`	Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS Michelangelo Ceci, Annalisa Appice, Costantina Caruso, 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`	Relational Classification based on Emerging Patterns. SEBD Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba
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	—	`conf`	An Integrated Platform for Spatial Data Mining within a GIS Environment. ICDE Workshops Annalisa Appice, Antonietta Lanza, 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	—	`conf`	Inducing Multi-Target Model Trees in a Stepwise Fashion. SEBD Annalisa Appice, Saso Dzeroski
2007	—	`conf`	On Homogeneity Evaluation and Seed Selection in Clustering Relational Data. SEBD Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi
2007	—	`conf`	Stepwise Induction of Multi-target Model Trees. ECML Annalisa Appice, Saso Dzeroski
2007	—	`conf`	Transductive Learning from Relational Data. MLDM Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba
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	`conf`	Mining Tolerance Regions with Model Trees. ISMIS Annalisa Appice, Michelangelo Ceci
2006	J	`jnl`	Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst. Michelangelo Ceci, Annalisa Appice
2006	C	`conf`	Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling. ISMIS Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo
2005	C	`conf`	Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization. IEA/AIE Annalisa Appice, Paolo Buono
2005	—	`—`	Learning relational model trees. Annalisa Appice
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	B	`conf`	Spatial Clustering of Structured Objects. ILP Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza
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	—	`conf`	Mining interesting spatial association rules: two case studies. SEBD Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi
2004	A*	`conf`	Redundant feature elimination for multi-class problems. ICML Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach
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	C	`conf`	Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS Michelangelo Ceci, Annalisa Appice, Donato Malerba
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`	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	—	`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
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	C	`conf`	Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli
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	—	`conf`	Stepwise Induction of Model Trees. AI*IA Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta