Eugenio Cesario

76 papers B 6C 8Misc 2Journal 30Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing energy efficiency in cloud computing through regression models: A data-driven approach with experimental validation. Future Gener. Comput. Syst. Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci, Santina Capalbo
2026	J	`jnl`	Integrating trajectory inference and self-explainable predictive models to explore cell state transitions in breast cancer at single-cell resolution. Frontiers Bioinform. Vanessa Verrina, Marianna Talia, Eugenio Cesario, Santina Capalbo, Domenica Scordamaglia, Rosamaria Lappano, Anna Maria Miglietta, Marcello Maggiolini, Sabrina Giordano
2025	J	`jnl`	Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What's the Best Approach for Crime Forecasting? IEEE Access Eugenio Cesario, Paolo Lindia, Andrea Vinci
2025	—	`conf`	Enhancing Cloud Energy Efficiency through Predictive Machine Learning for Inter- and Intra-Data Center VM Consolidation. Green-Aware AI@ECAI Santina Capalbo, Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci
2025	C	`conf`	Improving Cloud Energy Efficiency through Machine Learning Models. PDP Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci, Shabnam Zarin, Santina Capalbo
2025	J	`jnl`	Unveiling epidemic dynamics: harnessing the synergy of social media data and mobility patterns during COVID-19. Neural Comput. Appl. Eugenio Cesario, Carmela Comito
2024	J	`jnl`	A parallel machine learning-based approach for tsunami waves forecasting using regression trees. Comput. Commun. Eugenio Cesario, Salvatore Giampà, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia
2024	J	`jnl`	A scalable multi-density clustering approach to detect city hotspots in a smart city. Future Gener. Comput. Syst. Eugenio Cesario, Paolo Lindia, Andrea Vinci
2024	J	`jnl`	A survey of the recent trends in deep learning for literature based discovery in the biomedical domain. Neurocomputing Eugenio Cesario, Carmela Comito, Ester Zumpano
2024	J	`jnl`	Big data analytics and smart cities: applications, challenges, and opportunities. Frontiers Big Data Eugenio Cesario
2024	J	`jnl`	Machine Learning for Enhancing Public Safety in Modern Cities. Computer Eugenio Cesario
2024	J	`jnl`	Machine Learning for Tsunami Waves Forecasting Using Regression Trees. Big Data Res. Eugenio Cesario, Salvatore Giampà, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia
2024	J	`jnl`	Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots. J. Big Data Eugenio Cesario, Paolo Lindia, Andrea Vinci
2024	C	`conf`	Towards a Hierarchical Exascale Framework for Iterative Parallel Data Analysis Algorithms. PDP Eugenio Cesario, Paolo Lindia
2023	J	`jnl`	Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications. Big Data Cogn. Comput. Eugenio Cesario, Paolo Lindia, Andrea Vinci
2023	—	`conf`	Forecasting Tsunami Waves Using Regression Trees. ICT-DM Eugenio Cesario, Salvatore Giampà, Enrico Baglione, Louise Cordrie, Jacopo Selva, Domenico Talia
2023	—	`conf`	How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots. NUMTA (3) Eugenio Cesario, Paolo Lindia, Andrea Vinci
2022	J	`jnl`	Epidemic forecasting based on mobility patterns: an approach and experimental evaluation on COVID-19 Data. Soc. Netw. Anal. Min. Maria Pia Canino, Eugenio Cesario, Andrea Vinci, Shabnam Zarin
2022	—	`conf`	Exploiting mobility data to forecast Covid-19 spread. DASC/PiCom/CBDCom/CyberSciTech Maria Pia Canino, Eugenio Cesario, Andrea Vinci, Shabnam Zarin
2022	J	`jnl`	Multi-density urban hotspots detection in smart cities: A data-driven approach and experiments. Pervasive Mob. Comput. Eugenio Cesario, Paschal I. Uchubilo, Andrea Vinci, Xiaotian Zhu
2021	C	`conf`	Towards Parallel Multi-density Clustering for Urban Hotspots Detection. PDP Eugenio Cesario, Andrea Vinci, Shabnam Zarin
2020	B	`conf`	Discovering Multi-density Urban Hotspots in a Smart City. SMARTCOMP Eugenio Cesario, Paschal I. Uchubilo, Andrea Vinci, Xiaotian Zhu
2019	—	`conf`	A Comparative Analysis of Classification and Regression Models for Energy-Efficient Clouds. ICNSC Eugenio Cesario, Andrea Vinci
2019	—	`ch.`	Big Data Analysis for Smart City Applications. Encyclopedia of Big Data Technologies Eugenio Cesario
2019	J	`jnl`	Data analytics for energy-efficient clouds: design, implementation and evaluation. Int. J. Parallel Emergent Distributed Syst. Albino Altomare, Eugenio Cesario, Andrea Vinci
2019	—	`conf`	Hierarchical Clustering of Spatial Urban Data. NUMTA(1) Eugenio Cesario, Andrea Vinci, Xiaotian Zhu
2019	J	`jnl`	Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments. Pervasive Mob. Comput. Charlie Catlett, Eugenio Cesario, Domenico Talia, Andrea Vinci
2018	B	`conf`	A Data-Driven Approach for Spatio-Temporal Crime Predictions in Smart Cities. SMARTCOMP Charlie Catlett, Eugenio Cesario, Domenico Talia, Andrea Vinci
2018	—	`conf`	Distributed Computation of Mobility Patterns in a Smart City Environment. Euro-Par Workshops Eugenio Cesario, Franco Cicirelli, Carlo Mastroianni
2018	J	`jnl`	Efficient and scalable execution of smart city parallel applications. Concurr. Comput. Pract. Exp. Carlo Mastroianni, Eugenio Cesario, Andrea Giordano
2017	C	`conf`	A Comparative Analysis of Data-Driven Consolidation Policies for Energy-Efficient Clouds. PDP Albino Altomare, Eugenio Cesario
2017	B	`conf`	A Data-driven Approach based on Auto-Regressive Models for Energy-Efficient Clouds. CCGrid Albino Altomare, Eugenio Cesario
2017	J	`jnl`	An approach for the discovery and validation of urban mobility patterns. Pervasive Mob. Comput. Eugenio Cesario, Carmela Comito, Domenico Talia
2017	J	`jnl`	Mining frequent items and itemsets from distributed data streams for emergency detection and management. J. Ambient Intell. Humaniz. Comput. Albino Altomare, Eugenio Cesario, Domenico Talia
2017	J	`jnl`	SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events. Online Soc. Networks Media Eugenio Cesario, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
2017	J	`jnl`	Trajectory Pattern Mining for Urban Computing in the Cloud. IEEE Trans. Parallel Distributed Syst. Albino Altomare, Eugenio Cesario, Carmela Comito, Fabrizio Marozzo, Domenico Talia
2016	—	`conf`	A Cloud-Based Prediction Framework for Analyzing Business Process Performances. CD-ARES Eugenio Cesario, Francesco Folino, Massimo Guarascio, Luigi Pontieri
2016	—	`conf`	A Comprehensive Validation Methodology for Trajectory Pattern Mining of GPS Data. DASC/PiCom/DataCom/CyberSciTech Eugenio Cesario, Carmela Comito, Domenico Talia
2016	—	`conf`	Analyzing social media data to discover mobility patterns at EXPO 2015: Methodology and results. HPCS Eugenio Cesario, Andrea Raffaele Iannazzo, Fabrizio Marozzo, Fabrizio Morello, Gianni Riotta, Alessandra Spada, Domenico Talia, Paolo Trunfio
2016	—	`conf`	Balancing Speedup and Accuracy in Smart City Parallel Applications. Euro-Par Workshops Carlo Mastroianni, Eugenio Cesario, Andrea Giordano
2016	J	`jnl`	Distributed volunteer computing for solving ensemble learning problems. Future Gener. Comput. Syst. Eugenio Cesario, Carlo Mastroianni, Domenico Talia
2016	—	`conf`	Forecasting Crimes Using Autoregressive Models. DASC/PiCom/DataCom/CyberSciTech Eugenio Cesario, Charlie Catlett, Domenico Talia
2016	—	`conf`	Nubytics: Scalable cloud services for data analysis and prediction. RTSI Eugenio Cesario, Andrea Raffaele Iannazzo, Fabrizio Marozzo, Fabrizio Morello, Domenico Talia, Paolo Trunfio
2015	C	`conf`	Energy-Aware Migration of Virtual Machines Driven by Predictive Data Mining Models. PDP Albino Altomare, Eugenio Cesario, Domenico Talia
2015	—	`conf`	Following soccer fans from geotagged tweets at FIFA World Cup 2014. ICSDM Eugenio Cesario, Chiara Congedo, Fabrizio Marozzo, Gianni Riotta, Alessandra Spada, Domenico Talia, Paolo Trunfio, Carlo Turri
2015	—	`conf`	Predictive Models for Energy-Efficient Clouds: An Analysis on Real-Life and Synthetic Data. CIT/IUCC/DASC/PICom Albino Altomare, Eugenio Cesario
2014	J	`jnl`	A Multi-Domain Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams. J. Grid Comput. Eugenio Cesario, Carlo Mastroianni, Domenico Talia
2014	—	`ch.`	Trajectory Data Analysis Over a Cloud-Based Framework for Smart City Analytics. Internet of Things Based on Smart Objects, Technology, Middleware and Applications Eugenio Cesario, Carmela Comito, Domenico Talia
2014	—	`conf`	Trajectory Pattern Mining over a Cloud-Based Framework for Urban Computing. HPCC/CSS/ICESS Albino Altomare, Eugenio Cesario, Carmela Comito, Fabrizio Marozzo, Domenico Talia
2013	J	`jnl`	Programming knowledge discovery workflows in service-oriented distributed systems. Concurr. Comput. Pract. Exp. Eugenio Cesario, Marco Lackovic, Domenico Talia, Paolo Trunfio
2013	—	`conf`	Towards a Cloud-Based Framework for Urban Computing, The Trajectory Analysis Case. CGC Eugenio Cesario, Carmela Comito, Domenico Talia
2013	—	`conf`	Using Clouds for Smart City Applications. CloudCom (2) Albino Altomare, Eugenio Cesario, Carmela Comito, Fabrizio Marozzo, Domenico Talia
2012	B	`conf`	A Consistency Checker for verifying the knowledge encoded into clinical DSSs. CBMS Eugenio Cesario, Massimo Esposito, Giuseppe De Pietro, Domenico Talia
2012	—	`conf`	A Knowledge-based Method for Verifying the Reliability of Clinical DSSs. SITIS Eugenio Cesario, Massimo Esposito
2012	J	`jnl`	Distributed data mining patterns and services: an architecture and experiments. Concurr. Comput. Pract. Exp. Eugenio Cesario, Domenico Talia
2012	Misc	`conf`	Fault-Tolerant Distributed Knowledge Discovery Services for Grids. CISIS Eugenio Cesario, Domenico Talia
2012	—	`conf`	Using Mining@Home for Distributed Ensemble Learning. Globe Eugenio Cesario, Carlo Mastroianni, Domenico Talia
2012	—	`conf`	Verification of clinical guidelines encoded into knowledge-based DSSs. IEEE Conf. of Intelligent Systems Eugenio Cesario, Massimo Esposito, Giuseppe De Pietro, Domenico Talia
2011	C	`conf`	A Failure Handling Framework for Distributed Data Mining Services on the Grid. PDP Eugenio Cesario, Domenico Talia
2011	B	`conf`	A Sketch-Based Architecture for Mining Frequent Items and Itemsets from Distributed Data Streams. CCGRID Eugenio Cesario, Antonio Grillo, Carlo Mastroianni, Domenico Talia
2010	Misc	`conf`	Service-Oriented Data Analysis in Distributed Computing Systems. High Performance Computing Workshop Eugenio Cesario, Marco Lackovic, Domenico Talia, Paolo Trunfio
2010	J	`jnl`	Using Grids for Exploiting the Abundance of Data in Science. Scalable Comput. Pract. Exp. Eugenio Cesario, Domenico Talia
2009	—	`conf`	Distributed Data Mining using a Public Resource Computing Framework. CoreGRID@Euro-Par Eugenio Cesario, Nicola De Caria, Carlo Mastroianni, Domenico Talia
2008	J	`jnl`	Boosting text segmentation via progressive classification. Knowl. Inf. Syst. Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2008	—	`conf`	Distributed Data Mining Models as Services on the Grid. ICDM Workshops Eugenio Cesario, Domenico Talia
2008	J	`jnl`	Random walk biclustering for microarray data. Inf. Sci. Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti
2008	—	`conf`	Striping without Sacrifices: Maintaining POSIX Semantics in a Parallel File System. LASCO Jan Stender, Björn Kolbeck, Felix Hupfeld, Eugenio Cesario, Erich Focht, Matthias Hess, Jesus Malo, Jonathan Martí
2008	J	`jnl`	The XtreemFS architecture - a case for object-based file systems in Grids. Concurr. Comput. Pract. Exp. Felix Hupfeld, Toni Cortes, Björn Kolbeck, Jan Stender, Erich Focht, Matthias Hess, Jesus Malo, Jonathan Martí, Eugenio Cesario
2007	—	`conf`	From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery. RSFDGrC Eugenio Cesario, Domenico Talia
2007	J	`jnl`	Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Trans. Knowl. Data Eng. Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
2006	B	`conf`	A Greedy Search Approach to Co-clustering Sparse Binary Matrices. ICTAI Fabrizio Angiulli, Eugenio Cesario, Clara Pizzuti
2006	—	`—`	Advanced approaches to clustering high-dimensional categorical data. Eugenio Cesario
2006	—	`conf`	Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. SEBD Eugenio Cesario, Giuseppe Manco, Riccardo Ortale
2005	C	`conf`	An Incremental Clustering Scheme for Duplicate Detection in Large Databases. IDEAS Eugenio Cesario, Francesco Folino, Giuseppe Manco, Luigi Pontieri
2005	—	`conf`	RecBoost: A Supervised Approach to Text Segmentation. SEBD Eugenio Cesario, Francesco Folino, Antonio Locane, Giuseppe Manco, Riccardo Ortale
2004	C	`conf`	Putting Enhanced Hypermedia Personalization into Practice via Web Mining. DEXA Eugenio Cesario, Francesco Folino, Riccardo Ortale