Annalisa Appice

According to our database, Annalisa Appice authored at least 176 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PANACEA: a neural model ensemble for cyber-threat detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Mach. Learn., July, 2024

TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba

J. Intell. Inf. Syst., June, 2024

Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection.

Muhammad Imran, Annalisa Appice, Donato Malerba

Future Internet, May, 2024

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

VINCENT: Cyber-threat detection through vision transformers and knowledge distillation.

Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Comput. Secur., 2024

Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images.

Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia

Proceedings of the IGARSS 2024, 2024

LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs.

Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba

Proceedings of the 6th International Conference on Process Mining, 2024

2023

An AI framework to support decisions on GDPR compliance.

Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro

J. Intell. Inf. Syst., October, 2023

Editorial: AI meets cybersecurity.

Giuseppina Andresini, Annalisa Appice

J. Intell. Inf. Syst., April, 2023

STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba

IEEE Trans. Serv. Comput., 2023

$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning.

Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba

Expert Syst. Appl., 2023

DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Eng. Appl. Artif. Intell., 2023

GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection.

Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba

Proceedings of the Discovery Science - 26th International Conference, 2023

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector.

Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

A Multi-View Deep Learning Approach for Predictive Business Process Monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

IEEE Trans. Serv. Comput., 2022

Leveraging autoencoders in change vector analysis of optical satellite images.

Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello

J. Intell. Inf. Syst., 2022

PROMISE: Coupling predictive process mining to process discovery.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Wil M. P. van der Aalst

Inf. Sci., 2022

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio

Expert Syst. Appl., 2022

A multi-view deep learning approach for predictive business processes monitoring.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the IEEE World Congress on Services, 2022

Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features.

Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

An XAI-based adversarial training approach for cyber-threat detection.

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Introduction to the special issue of the ECML PKDD 2021 journal track.

Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann

Mach. Learn., 2021

Nearest cluster-based intrusion detection through convolutional neural networks.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Knowl. Based Syst., 2021

Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets.

Annalisa Appice, Angelo Cannarile, Antonella Falini, Donato Malerba, Francesca Mazzia, Cristiano Tamborrino

J. Intell. Inf. Syst., 2021

Autoencoder-based deep metric learning for network intrusion detection.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Inf. Sci., 2021

GAN augmentation to deal with imbalance in imaging-based intrusion detection.

Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba

Future Gener. Comput. Syst., 2021

A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper).

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Keynote 4.

Annalisa Appice

Proceedings of the Eighth International Conference on Software Defined Systems, 2021

Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost.

Malik Al-Essa, Annalisa Appice

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation.

Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba

Proceedings of the 3rd International Conference on Process Mining, 2021

AI meets Cybersecurity.

Annalisa Appice

Proceedings of the Sixth International Conference on Fog and Mobile Edge Computing, 2021

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems.

Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba

Proceedings of the Discovery Science - 24th International Conference, 2021

A Network Intrusion Detection System for Concept Drifting Network Traffic Data.

Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba

Proceedings of the Discovery Science - 24th International Conference, 2021

INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection.

Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Leveraging Multi-view Deep Learning for Next Activity Prediction.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the 1st Italian Forum on Business Process Management co-located with the 19th International Conference of Business Process Management (BPM 2021), 2021

Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images.

Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification.

Giuseppina Andresini, Annalisa Appice, Donato Malerba

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection.

Annalisa Appice, Giuseppina Andresini, Donato Malerba

J. Intell. Inf. Syst., 2020

Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification.

Annalisa Appice, Pietro Guccione, Emilio Acciaro, Donato Malerba

Appl. Intell., 2020

ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno

IEEE Access, 2020

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico.

Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba

IEEE Access, 2020

Multi-Channel Deep Feature Learning for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

IEEE Access, 2020

Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study.

Matteo Greco, Michele Spagnoletta, Annalisa Appice, Donato Malerba

Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images.

Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction.

Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020

Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures^*.

Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Training in a Virtual Learning Environment: A Process Mining Approach.

Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Predictive Process Mining Meets Computer Vision.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the Business Process Management Forum, 2020

2019

Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images.

Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Using Convolutional Neural Networks for Predictive Process Analytics.

Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba

Proceedings of the International Conference on Process Mining, 2019

Exploiting the Auto-Encoder Residual Error for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

Activity Prediction of Business Process Instances with Inception CNN Models.

Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

Leveraging Shallow Machine Learning to Predict Business Process Behavior.

Annalisa Appice, Nicola Di Mauro, Donato Malerba

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

Towards mining the organizational structure of a dynamic event scenario.

Annalisa Appice

J. Intell. Inf. Syst., 2018

Active learning via collective inference in network regression problems.

Annalisa Appice, Corrado Loglisci, Donato Malerba

Inf. Sci., 2018

Leveraging correlation across space and time to interpolate geophysical data via CoKriging.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Int. J. Geogr. Inf. Sci., 2018

Wind Speed Forecasting via Structured Output Learning.

Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting.

Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Relational Data Mining in the Era of Big Data.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017

A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data.

Annalisa Appice, Pietro Guccione, Donato Malerba

Pattern Recognit., 2017

Using multiple time series analysis for geosensor data forecasting.

Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba

Inf. Sci., 2017

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering.

Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016

A Co-Training Strategy for Multiple View Clustering in Process Mining.

Annalisa Appice, Donato Malerba

IEEE Trans. Serv. Comput., 2016

Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system.

Annalisa Appice, Pietro Guccione, Donato Malerba

Mach. Learn., 2016

Collective regression for handling autocorrelation of network data in a transductive setting.

Corrado Loglisci, Annalisa Appice, Donato Malerba

J. Intell. Inf. Syst., 2016

Recent advances in mining patterns from complex data.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari

J. Intell. Inf. Syst., 2016

Anomaly detection in aerospace product manufacturing: Initial remarks.

Anna Maria Crespino, Angelo Corallo, Mariangela Lazoi, Donato Barbagallo, Annalisa Appice, Donato Malerba

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification.

Annalisa Appice, Pietro Guccione

Proceedings of the Discovery Science - 19th International Conference, 2016

2015

Iterative Hyperspectral Image Classification Using Spectral-Spatial Relational Features.

Pietro Guccione, Luigi Mascolo, Annalisa Appice

IEEE Trans. Geosci. Remote. Sens., 2015

Summarizing numeric spatial data streams by trend cluster discovery.

Annalisa Appice, Anna Ciampi, Donato Malerba

Data Min. Knowl. Discov., 2015

Discovering and Tracking Organizational Structures in Event Logs.

Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning.

Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Mining complex patterns.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco

J. Intell. Inf. Syst., 2014

Dealing with temporal and spatial correlations to classify outliers in geophysical data streams.

Annalisa Appice, Pietro Guccione, Donato Malerba, Anna Ciampi

Inf. Sci., 2014

Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Fundam. Informaticae, 2014

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering.

Annalisa Appice, Donato Malerba

Data Min. Knowl. Discov., 2014

Mining Cluster-Based Models of Time Series for Wind Power Prediction.

Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Network Regression in Collective Inference Setting.

Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Collective Inference for Handling Autocorrelation in Network Regression.

Corrado Loglisci, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants.

Fabio Fumarola, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Wind Power Forecasting Using Time Series Cluster Analysis.

Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the Discovery Science - 17th International Conference, 2014

Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance.

Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba

Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-5453-2, 2014

2013

Using trend clusters for spatiotemporal interpolation of missing data in a sensor network.

Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione

J. Spatial Inf. Sci., 2013

Dealing with spatial autocorrelation when learning predictive clustering trees.

Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski

Ecol. Informatics, 2013

Process Mining to Forecast the Future of Running Cases.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Predictive Regional Trees to Supplement Geo-Physical Random Fields.

Annalisa Appice, Sonja Pravilovic, Donato Malerba

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

An Intelligent Technique for Forecasting Spatially Correlated Time Series.

Sonja Pravilovic, Annalisa Appice, Donato Malerba

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

Enhancing Regression Models with Spatio-temporal Indicator Additions.

Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza

Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012

Network regression with predictive clustering trees.

Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski

Data Min. Knowl. Discov., 2012

Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data.

Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba

Proceedings of the Web and Wireless Geographical Information Systems, 2012

Trend cluster based interpolation everywhere in a sensor network.

Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo

Proceedings of the ACM Symposium on Applied Computing, 2012

Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages.

Annalisa Appice, Donato Malerba, Antonietta Lanza

Proceedings of the Ubiquitous Social Media Analysis, 2012

Transductive Relational Classification in the Co-training Paradigm.

Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Continuously Mining Sliding Window Trend Clusters in a Sensor Network.

Annalisa Appice, Donato Malerba, Anna Ciampi

Proceedings of the Database and Expert Systems Applications, 2012

2011

A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets.

Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba

Intell. Data Anal., 2011

Trend Cluster Based Kriging Interpolation in Sensor Data Networks.

Pietro Guccione, Annalisa Appice, Anna Ciampi, Donato Malerba

Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Learning and Transferring Geographically Weighted Regression Trees across Time.

Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza

Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models.

Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Relational Mining in Spatial Domains: Accomplishments and Challenges.

Donato Malerba, Michelangelo Ceci, Annalisa Appice

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes.

Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

MBlab: Molecular Biodiversity Laboratory.

Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Global and Local Spatial Autocorrelation in Predictive Clustering Trees.

Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski

Proceedings of the Discovery Science - 14th International Conference, 2011

Discovering process models through relational disjunctive patterns mining.

Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Trend cluster based compression of geographically distributed data streams.

Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010

Transductive Learning for Spatial Data Classification.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Clustering Spatio-Temporal Data Streams.

Anna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Suggesting Tourist Destinations by means of Time-Slice Density Estimation.

Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso

Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Complex objects ranking: a relational data mining approach.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Transductive learning for spatial regression with co-training.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Summarization for Geographically Distributed Data Streams.

Anna Ciampi, Annalisa Appice, Donato Malerba

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams.

Anna Ciampi, Annalisa Appice, Donato Malerba

Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the ECAI 2010, 2010

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci

Proceedings of the Second International Conference on Advances in Databases, 2010

2009

A relational approach to probabilistic classification in a transductive setting.

Donato Malerba, Michelangelo Ceci, Annalisa Appice

Eng. Appl. Artif. Intell., 2009

Mining preference relations to rank complex object.

Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Spatial Regression in the Transductive Setting.

Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

A Relational Approach to Novelty Detection in Data Streams.

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Relational Frequent Patterns Mining for Novelty Detection from Data Streams.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Novelty Detection from Evolving Complex Data Streams with Time Windows.

Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.

Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba

Proceedings of the Discovery Science, 12th International Conference, 2009

An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Discovery Science, 12th International Conference, 2009

Approximate Frequent Itemset Discovery from Data Stream.

Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba

Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008

Distributed Discovery of Multi-Level Approximate Process Patterns.

Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Relational Classification based on Emerging Patterns.

Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba

Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Discovering Emerging Patterns for Anomaly Detection in Network Connection Data.

Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Stepwise Induction of Logistic Model Trees.

Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Top-Down Induction of Relational Model Trees in Multi-instance Learning.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective.

Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Grid-Based Multi-relational Approach to Process Mining.

Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

Emerging Pattern Based Classification in Relational Data Mining.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

2007

On Homogeneity Evaluation and Seed Selection in Clustering Relational Data.

Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Antonio Fittipaldi

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Inducing Multi-Target Model Trees in a Stepwise Fashion.

Annalisa Appice, Saso Dzeroski

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Transductive Learning from Relational Data.

Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

An Integrated Platform for Spatial Data Mining within a GIS Environment.

Annalisa Appice, Antonietta Lanza, Donato Malerba

Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

Stepwise Induction of Multi-target Model Trees.

Annalisa Appice, Saso Dzeroski

Proceedings of the Machine Learning: ECML 2007, 2007

Discovering Relational Emerging Patterns.

Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba

Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

2006

Spatial associative classification: propositional vs structural approach.

Michelangelo Ceci, Annalisa Appice

J. Intell. Inf. Syst., 2006

Classification of symbolic objects: A lazy learning approach.

Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba

Intell. Data Anal., 2006

Classifying Aggregated Data: a Symbolic Data Analysis Approach.

Annalisa Appice, Floriana Esposito, Donato Malerba

Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

Supporting Visual Exploration of Discovered Association Rules Through Multi-Dimensional Scaling.

Margherita Berardi, Annalisa Appice, Corrado Loglisci, Pietro Leo

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Mining Tolerance Regions with Model Trees.

Annalisa Appice, Michelangelo Ceci

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

2005

Learning relational model trees.

Annalisa Appice

PhD thesis, 2005

Relational Clustering with Discrete Spatial Structure.

Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri

Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Propositionalization Through Relational Association Rules Mining.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Mining Model Trees from Spatial Data.

Donato Malerba, Michelangelo Ceci, Annalisa Appice

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Mining and Filtering Multi-level Spatial Association Rules with ARES.

Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Spatial Clustering of Structured Objects.

Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization.

Annalisa Appice, Paolo Buono

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Mining Relational Association Rules for Propositional Classification.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004

Top-Down Induction of Model Trees with Regression and Splitting Nodes.

Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Mining interesting spatial association rules: two case studies.

Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi

Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Redundant feature elimination for multi-class problems.

Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach

Proceedings of the Machine Learning, 2004

A Data Mining Query Language for Knowledge Discovery in a Geographical Information System.

Donato Malerba, Annalisa Appice, Michelangelo Ceci

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003

Empowering a GIS with inductive learning capabilities: the case of INGENS.

Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice

Comput. Environ. Urban Syst., 2003

Discovery of spatial association rules in geo-referenced census data: A relational mining approach.

Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba

Intell. Data Anal., 2003

Stepwise Model Tree Induction in a Multi-Relational Framework.

Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi

Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Mining Model Trees with Regression and Splitting Nodes.

Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba

Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Mr-SBC: A Multi-relational Naïve Bayes Classifier.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Simplification Methods for Model Trees with Regression and Splitting Nodes.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Second International Workshop on Inductive Databases, 2003

Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes.

Michelangelo Ceci, Annalisa Appice, Donato Malerba

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

Mining Model Trees: A Multi-relational Approach.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Multi-relational Structural Bayesian Classifier.

Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002

Mining Classification and Association Rules in Geographical Data with SDMOQL.

Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca

Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

KDB2000: Uno strumento per la scoperta della conoscenza.

Annalisa Appice, Michelangelo Ceci, Donato Malerba

Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

Trading-Off Local versus Global Effects of Regression Nodes in Model Trees.

Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

2001

Generating Logic Descriptions for the Automated Interpretation of Topographic Maps.

Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci

Proceedings of the Graphics Recognition Algorithms and Applications, 2001

Stepwise Induction of Model Trees.

Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta

Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001