Putting Enhanced Hypermedia Personalization into Practice via Web Mining. - Eugenio Cesario; Francesco Folino; Riccardo Ortale (DEXA, 2004)

An Incremental Clustering Scheme for Duplicate Detection in Large Databases. - Eugenio Cesario; Francesco Folino; Giuseppe Manco 001; Luigi Pontieri (IDEAS, 2005)

RecBoost: A Supervised Approach to Text Segmentation. - Eugenio Cesario; Francesco Folino; Antonio Locane; Giuseppe Manco 001; Riccardo Ortale (SEBD, 2005)

A Greedy Search Approach to Co-clustering Sparse Binary Matrices. - Fabrizio Angiulli; Eugenio Cesario; Clara Pizzuti (ICTAI, 2006)

Advanced approaches to clustering high-dimensional categorical data. - Eugenio Cesario (2006)

From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery. - Eugenio Cesario; Domenico Talia (RSFDGrC, 2007)

Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. - Eugenio Cesario; Giuseppe Manco 001; Riccardo Ortale (IEEE Trans. Knowl. Data Eng., 2007)

Distributed Data Mining Models as Services on the Grid. - Eugenio Cesario; Domenico Talia (ICDM Workshops, 2008)

Striping without Sacrifices: Maintaining POSIX Semantics in a Parallel File System. - Jan Stender; Björn Kolbeck; Felix Hupfeld; Eugenio Cesario; Erich Focht; Matthias Hess; Jesus Malo; Jonathan Martí (LASCO, 2008)

The XtreemFS architecture - a case for object-based file systems in Grids. - Felix Hupfeld; Toni Cortes; Björn Kolbeck; Jan Stender; Erich Focht; Matthias Hess; Jesus Malo; Jonathan Martí; Eugenio Cesario (Concurr. Comput. Pract. Exp., 2008)

Random walk biclustering for microarray data. - Fabrizio Angiulli; Eugenio Cesario; Clara Pizzuti (Inf. Sci., 2008)

Boosting text segmentation via progressive classification. - Eugenio Cesario; Francesco Folino; Antonio Locane; Giuseppe Manco 001; Riccardo Ortale (Knowl. Inf. Syst., 2008)

Distributed Data Mining using a Public Resource Computing Framework. - Eugenio Cesario; Nicola De Caria; Carlo Mastroianni; Domenico Talia (CoreGRID@Euro-Par, 2009)

Service-Oriented Data Analysis in Distributed Computing Systems. - Eugenio Cesario; Marco Lackovic; Domenico Talia; Paolo Trunfio (High Performance Computing Workshop, 2010)

Using Grids for Exploiting the Abundance of Data in Science. - Eugenio Cesario; Domenico Talia (Scalable Comput. Pract. Exp., 2010)

A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams. - Eugenio Cesario; Antonio Grillo; Carlo Mastroianni; Domenico Talia (CCGRID, 2011)

A Failure Handling Framework for Distributed Data Mining Services on the Grid. - Eugenio Cesario; Domenico Talia (PDP, 2011)

A Consistency Checker for verifying the knowledge encoded into clinical DSSs. - Eugenio Cesario; Massimo Esposito; Giuseppe De Pietro; Domenico Talia (CBMS, 2012)

Fault-Tolerant Distributed Knowledge Discovery Services for Grids. - Eugenio Cesario; Domenico Talia (CISIS, 2012)

Using Mining@Home for Distributed Ensemble Learning. - Eugenio Cesario; Carlo Mastroianni; Domenico Talia (Globe, 2012)

Verification of clinical guidelines encoded into knowledge-based DSSs. - Eugenio Cesario; Massimo Esposito; Giuseppe De Pietro; Domenico Talia (IEEE Conf. of Intelligent Systems, 2012)

A Knowledge-based Method for Verifying the Reliability of Clinical DSSs. - Eugenio Cesario; Massimo Esposito (SITIS, 2012)

Distributed data mining patterns and services: an architecture and experiments. - Eugenio Cesario; Domenico Talia (Concurr. Comput. Pract. Exp., 2012)

Towards a Cloud-Based Framework for Urban Computing, The Trajectory Analysis Case. - Eugenio Cesario; Carmela Comito; Domenico Talia (CGC, 2013)

Using Clouds for Smart City Applications. - Albino Altomare; Eugenio Cesario; Carmela Comito; Fabrizio Marozzo; Domenico Talia (CloudCom (2), 2013)

Programming knowledge discovery workflows in service-oriented distributed systems. - Eugenio Cesario; Marco Lackovic; Domenico Talia; Paolo Trunfio (Concurr. Comput. Pract. Exp., 2013)

Trajectory Data Analysis Over a Cloud-Based Framework for Smart City Analytics. - Eugenio Cesario; Carmela Comito; Domenico Talia (Internet of Things Based on Smart Objects, Technology, Middleware and Applications, 2014)

Trajectory Pattern Mining over a Cloud-Based Framework for Urban Computing. - Albino Altomare; Eugenio Cesario; Carmela Comito; Fabrizio Marozzo; Domenico Talia (HPCC/CSS/ICESS, 2014)

A Multi-Domain Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams. - Eugenio Cesario; Carlo Mastroianni; Domenico Talia (J. Grid Comput., 2014)

Predictive Models for Energy-Efficient Clouds: An Analysis on Real-Life and Synthetic Data. - Albino Altomare; Eugenio Cesario (CIT/IUCC/DASC/PICom, 2015)

Following soccer fans from geotagged tweets at FIFA World Cup 2014. - Eugenio Cesario; Chiara Congedo; Fabrizio Marozzo; Gianni Riotta; Alessandra Spada; Domenico Talia; Paolo Trunfio; Carlo Turri (ICSDM, 2015)

Energy-Aware Migration of Virtual Machines Driven by Predictive Data Mining Models. - Albino Altomare; Eugenio Cesario; Domenico Talia (PDP, 2015)

A Cloud-Based Prediction Framework for Analyzing Business Process Performances. - Eugenio Cesario; Francesco Folino; Massimo Guarascio 001; Luigi Pontieri (CD-ARES, 2016)

Forecasting Crimes Using Autoregressive Models. - Eugenio Cesario; Charlie Catlett; Domenico Talia (DASC/PiCom/DataCom/CyberSciTech, 2016)

A Comprehensive Validation Methodology for Trajectory Pattern Mining of GPS Data. - Eugenio Cesario; Carmela Comito; Domenico Talia (DASC/PiCom/DataCom/CyberSciTech, 2016)

Balancing Speedup and Accuracy in Smart City Parallel Applications. - Carlo Mastroianni; Eugenio Cesario; Andrea Giordano (Euro-Par Workshops, 2016)

Analyzing social media data to discover mobility patterns at EXPO 2015: Methodology and results. - Eugenio Cesario; Andrea Raffaele Iannazzo; Fabrizio Marozzo; Fabrizio Morello; Gianni Riotta; Alessandra Spada; Domenico Talia; Paolo Trunfio (HPCS, 2016)

Nubytics: Scalable cloud services for data analysis and prediction. - Eugenio Cesario; Andrea Raffaele Iannazzo; Fabrizio Marozzo; Fabrizio Morello; Domenico Talia; Paolo Trunfio (RTSI, 2016)

Distributed volunteer computing for solving ensemble learning problems. - Eugenio Cesario; Carlo Mastroianni; Domenico Talia (Future Gener. Comput. Syst., 2016)

A Data-driven Approach based on Auto-Regressive Models for Energy-Efficient Clouds. - Albino Altomare; Eugenio Cesario (CCGrid, 2017)

A Comparative Analysis of Data-Driven Consolidation Policies for Energy-Efficient Clouds. - Albino Altomare; Eugenio Cesario (PDP, 2017)

Mining frequent items and itemsets from distributed data streams for emergency detection and management. - Albino Altomare; Eugenio Cesario; Domenico Talia (J. Ambient Intell. Humaniz. Comput., 2017)

SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events. - Eugenio Cesario; Fabrizio Marozzo; Domenico Talia; Paolo Trunfio (Online Soc. Networks Media, 2017)

An approach for the discovery and validation of urban mobility patterns. - Eugenio Cesario; Carmela Comito; Domenico Talia (Pervasive Mob. Comput., 2017)

Trajectory Pattern Mining for Urban Computing in the Cloud. - Albino Altomare; Eugenio Cesario; Carmela Comito; Fabrizio Marozzo; Domenico Talia (IEEE Trans. Parallel Distributed Syst., 2017)

Distributed Computation of Mobility Patterns in a Smart City Environment. - Eugenio Cesario; Franco Cicirelli; Carlo Mastroianni (Euro-Par Workshops, 2018)

A Data-Driven Approach for Spatio-Temporal Crime Predictions in Smart Cities. - Charlie Catlett; Eugenio Cesario; Domenico Talia; Andrea Vinci (SMARTCOMP, 2018)

Efficient and scalable execution of smart city parallel applications. - Carlo Mastroianni; Eugenio Cesario; Andrea Giordano (Concurr. Comput. Pract. Exp., 2018)

A Comparative Analysis of Classification and Regression Models for Energy-Efficient Clouds. - Eugenio Cesario; Andrea Vinci (ICNSC, 2019)

Hierarchical Clustering of Spatial Urban Data. - Eugenio Cesario; Andrea Vinci; Xiaotian Zhu (NUMTA(1), 2019)

Data analytics for energy-efficient clouds: design, implementation and evaluation. - Albino Altomare; Eugenio Cesario; Andrea Vinci (Int. J. Parallel Emergent Distributed Syst., 2019)

Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments. - Charlie Catlett; Eugenio Cesario; Domenico Talia; Andrea Vinci (Pervasive Mob. Comput., 2019)

Big Data Analysis for Smart City Applications. - Eugenio Cesario (Encyclopedia of Big Data Technologies, 2019)

Discovering Multi-density Urban Hotspots in a Smart City. - Eugenio Cesario; Paschal I. Uchubilo; Andrea Vinci; Xiaotian Zhu (SMARTCOMP, 2020)

Towards Parallel Multi-density Clustering for Urban Hotspots Detection. - Eugenio Cesario; Andrea Vinci; Shabnam Zarin (PDP, 2021)

Exploiting mobility data to forecast Covid-19 spread. - Maria Pia Canino; Eugenio Cesario; Andrea Vinci; Shabnam Zarin (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments. - Eugenio Cesario; Paschal I. Uchubilo; Andrea Vinci; Xiaotian Zhu (Pervasive Mob. Comput., 2022)

Epidemic forecasting based on mobility patterns: an approach and experimental evaluation on COVID-19 Data. - Maria Pia Canino; Eugenio Cesario; Andrea Vinci; Shabnam Zarin (Soc. Netw. Anal. Min., 2022)

Forecasting Tsunami Waves Using Regression Trees. - Eugenio Cesario; Salvatore Giampà; Enrico Baglione; Louise Cordrie; Jacopo Selva; Domenico Talia (ICT-DM, 2023)

How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots. - Eugenio Cesario; Paolo Lindia; Andrea Vinci (NUMTA (3), 2023)

Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications. - Eugenio Cesario; Paolo Lindia; Andrea Vinci (Big Data Cogn. Comput., 2023)

Towards a Hierarchical Exascale Framework for Iterative Parallel Data Analysis Algorithms. - Eugenio Cesario; Paolo Lindia (PDP, 2024)

Machine Learning for Tsunami Waves Forecasting Using Regression Trees. - Eugenio Cesario; Salvatore Giampà; Enrico Baglione; Louise Cordrie; Jacopo Selva; Domenico Talia (Big Data Res., 2024)

A parallel machine learning-based approach for tsunami waves forecasting using regression trees. - Eugenio Cesario; Salvatore Giampà; Enrico Baglione; Louise Cordrie; Jacopo Selva; Domenico Talia (Comput. Commun., 2024)

Big data analytics and smart cities: applications, challenges, and opportunities. - Eugenio Cesario (Frontiers Big Data, 2024)

A scalable multi-density clustering approach to detect city hotspots in a smart city. - Eugenio Cesario; Paolo Lindia; Andrea Vinci (Future Gener. Comput. Syst., 2024)

A survey of the recent trends in deep learning for literature based discovery in the biomedical domain. - Eugenio Cesario; Carmela Comito; Ester Zumpano (Neurocomputing, 2024)

Machine Learning for Enhancing Public Safety in Modern Cities. - Eugenio Cesario (Computer, 2024)

Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots. - Eugenio Cesario; Paolo Lindia; Andrea Vinci (J. Big Data, 2024)

Improving Cloud Energy Efficiency through Machine Learning Models. - Eugenio Cesario; Paolo Lindia; Federica Lobello; Andrea Vinci; Shabnam Zarin; Santina Capalbo (PDP, 2025)

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What's the Best Approach for Crime Forecasting? - Eugenio Cesario; Paolo Lindia; Andrea Vinci (IEEE Access, 2025)