Squeezex: Synthesis and Compression of XML Data. - Mario Cannataro; Carmela Comito; Andrea Pugliese 001 (ITCC, 2002)

Architecture, Metadata and Ontologies in the Knowledge Grid. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Carlo Mastroianni; Andrea Pugliese 001; Domenico Talia; Paolo Trunfio; Pierangelo Veltri (MMGPS, 2003)

Integrating Ontology and Workflow in PROTEUS, a Grid-Based Problem Solving Environment for Bioinformatics. - Mario Cannataro; Carmela Comito; Antonella Guzzo; Pierangelo Veltri (ITCC (2), 2004)

GDIS: A Service-Based Architecture for Data Integration on Grids. - Carmela Comito; Domenico Talia (OTM Workshops, 2004)

A General Architecture for Grid-Based PSE Toolkits. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Gianluigi Folino; Carlo Mastroianni; Andrea Pugliese 001; Giandomenico Spezzano; Domenico Talia; Pierangelo Veltri (PARA, 2004)

Using Ontologies in PROTEUS, a Grid-Based Problem Solving Environment for Bioinformatics. - Mario Cannataro; Carmela Comito; Pierangelo Veltri (SEBD, 2004)

Proteus, a Grid based Problem Solving for Bioinformatics: Architecture and Experiments. - Mario Cannataro; Carmela Comito; Filippo Lo Schiavo; Pierangelo Veltri (IEEE Intell. Informatics Bull., 2004)

Ontology-based Design of Bioinformatics Workflows on PROTEUS. - Mario Cannataro; Antonella Guzzo; Carmela Comito; Pierangelo Veltri (J. Digit. Inf. Manag., 2004)

PROTEUS: a Bioinformatics Problem Solving Environment on Grids. - Mario Cannataro; Carmela Comito; Antonio Congiusta; Pierangelo Veltri (Parallel Process. Lett., 2004)

Service Choreography for Data Integration on the Grid. - Anastasios Gounaris; Rizos Sakellariou; Carmela Comito; Domenico Talia (Knowledge and Data Management in GRIDs, 2005)

PARIS: A Peer-to-Peer Architecture for Large-Scale Semantic Data Integration. - Carmela Comito; Simon Patarin; Domenico Talia (DBISP2P, 2005)

XML Data Integration in OGSA Grids. - Carmela Comito; Domenico Talia (DMG, 2005)

A Metadata Model and Information System for the Management of Resources in a Grid-Based PSE Toolkit. - Carmela Comito; Carlo Mastroianni; Domenico Talia (HPCC, 2005)

Grid services: principles, implementations and use. - Carmela Comito; Domenico Talia; Paolo Trunfio (Int. J. Web Grid Serv., 2005)

Data Integration based on Schema-Mapping in Service-based Grids. - Carmela Comito; Domenico Talia (High Performance Computing Workshop, 2006)

A Semantic Overlay Network for P2P Schema-Based Data Integration. - Carmela Comito; Simon Patarin; Domenico Talia (ISCC, 2006)

Grid Data Integration Based on Schema Mapping. - Carmela Comito; Domenico Talia (PARA, 2006)

Metadata, Ontologies, and Information Models for Grid PSE Toolkits Based on Web Services. - Carmela Comito; Carlo Mastroianni; Domenico Talia (Int. J. Web Serv. Res., 2006)

Large-scale data integration in grids and peer-to-peer systems. - Carmela Comito (2006)

A Service-Oriented System to Support Data Integration on Data Grids. - Anastasios Gounaris; Carmela Comito; Rizos Sakellariou; Domenico Talia (CCGRID, 2007)

PARIS: A peer-to-peer architecture for large-scale semantic data sharing. - Carmela Comito; Simon Patarin; Domenico Talia (Comput. Syst. Sci. Eng., 2008)

A semantic-aware information system for multi-domain applications over service grids. - Carmela Comito; Carlo Mastroianni; Domenico Talia (IPDPS, 2009)

A service-oriented system for distributed data querying and integration on Grids. - Carmela Comito; Anastasios Gounaris; Rizos Sakellariou; Domenico Talia (Future Gener. Comput. Syst., 2009)

A logic approach to virtual sensor networks. - Luciano Caroprese; Carmela Comito; Domenico Talia; Ester Zumpano (IDEAS, 2010)

Selectivity-based XML query processing in structured peer-to-peer networks. - Carmela Comito; Domenico Talia; Paolo Trunfio (IDEAS, 2010)

An Energy-Aware Clustering Scheme for Mobile Applications. - Carmela Comito; Domenico Talia; Paolo Trunfio (CIT, 2011)

Energy Efficient Task Allocation over Mobile Networks. - Carmela Comito; Deborah Falcone; Domenico Talia; Paolo Trunfio (DASC, 2011)

P2P schema-mapping over network-bound XML data. - Carmela Comito; Domenico Talia (Concurr. Comput. Pract. Exp., 2011)

A Distributed Allocation Strategy for Data Mining Tasks in Mobile Environments. - Carmela Comito; Deborah Falcone; Domenico Talia; Paolo Trunfio (IDC, 2012)

A Self-organizing P2P Architecture for Indexing and Searching Distributed XML Documents. - Carmela Comito; Agostino Forestiero; Carlo Mastroianni (NEW2AN, 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)

Energy Characterization of Data Mining Algorithms on Mobile Devices. - Carmela Comito; Domenico Talia (EE-LSDS, 2013)

Efficient allocation of data mining tasks in mobile environments. - Carmela Comito; Deborah Falcone; Domenico Talia; Paolo Trunfio (Concurr. Eng. Res. Appl., 2013)

Scheduling Data Mining Applications in Mobile Computing Environments. - Carmela Comito; Deborah Falcone; Domenico Talia; Paolo Trunfio (ERCIM News, 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)

Energy-aware clustering of ubiquitous devices for collaborative mobile applications. - Carmela Comito; Domenico Talia (MobiCASE, 2014)

What is this place? Inferring place categories through user patterns identification in geo-tagged tweets. - Deborah Falcone; Cecilia Mascolo; Carmela Comito; Domenico Talia; Jon Crowcroft (MobiCASE, 2014)

Evaluating and predicting energy consumption of data mining algorithms on mobile devices. - Carmela Comito; Domenico Talia (DSAA, 2015)

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

Online Clustering for Topic Detection in Social Data Streams. - Carmela Comito; Clara Pizzuti; Nicola Procopio (ICTAI, 2016)

A distributed selectivity-driven search strategy for semi-structured data over DHT-based networks. - Carmela Comito; Domenico Talia; Paolo Trunfio (J. Parallel Distributed Comput., 2016)

Mining human mobility patterns from social geo-tagged data. - Carmela Comito; Deborah Falcone; Domenico Talia (Pervasive Mob. Comput., 2016)

How people talk about health?: Detecting Health Topics from Twitter Streams. - Carmela Comito; Clara Pizzuti; Nicola Procopio (BDIOT, 2017)

Where are You Going? Next Place Prediction from Twitter. - Carmela Comito (DSAA, 2017)

A Peak Detection Method to Uncover Events from Social Media. - Carmela Comito; Deborah Falcone; Domenico Talia (DSAA, 2017)

Energy-aware task allocation for small devices in wireless networks. - Carmela Comito; Deborah Falcone; Domenico Talia; Paolo Trunfio (Concurr. Comput. Pract. Exp., 2017)

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

Energy consumption of data mining algorithms on mobile phones: Evaluation and prediction. - 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)

Improving Influenza Forecasting with Web-Based Social Data. - Carmela Comito; Agostino Forestiero; Clara Pizzuti (ASONAM, 2018)

Human Mobility Prediction Through Twitter. - Carmela Comito (FNC/MobiSPC, 2018)

Twitter-based Influenza Surveillance: An Analysis of the 2016-2017 and 2017-2018 Seasons in Italy. - Carmela Comito; Agostino Forestiero; Clara Pizzuti (IDEAS, 2018)

Mining Pattern Similarity for Mobility Prediction in Location-based Social Networks. - Carmela Comito (MobiQuitous, 2018)

Travel routes recommendations via online social networks. - Carmela Comito (ASONAM, 2019)

A clinical decision support framework for automatic disease diagnoses. - Carmela Comito; Agostino Forestiero; Giuseppe Papuzzo (ASONAM, 2019)

Mining Human Mobility from Social Media to support Urban Computing Applications. - Carmela Comito (DCOSS, 2019)

Exploiting Social Media for Recommending New Locations. - Carmela Comito (ICCCN, 2019)

Word Embedding based Clustering to Detect Topics in Social Media. - Carmela Comito; Agostino Forestiero; Clara Pizzuti (WI, 2019)

Exploiting Social Media to enhance Clinical Decision Support. - Carmela Comito; Agostino Forestiero; Giuseppe Papuzzo (WI (Companion), 2019)

Bursty Event Detection in Twitter Streams. - Carmela Comito; Agostino Forestiero; Clara Pizzuti (ACM Trans. Knowl. Discov. Data, 2019)

Energy Efficiency in Big Data Analysis. - Carmela Comito (Encyclopedia of Big Data Technologies, 2019)

Learning Sequential Mobility and User Preference for new Location Recommendation in Online Social Networks. - Carmela Comito (ASONAM, 2020)

Current Trends And Practices In Smart Health Monitoring And Clinical Decision Support. - Carmela Comito; Deborah Falcone; Agostino Forestiero (BIBM, 2020)

A Power-aware Approach for Smart Health Monitoring and Decision Support. - Carmela Comito; Deborah Falcone; Agostino Forestiero (ICMLA, 2020)

Exploiting Sequential Mobility for Recommending new Locations on Geo-tagged Social Media. - Carmela Comito (ICTAI, 2020)

Integrating IoT and Social Media for Smart Health Monitoring. - Carmela Comito; Deborah Falcone; Agostino Forestiero (WI/IAT, 2020)

NexT: A framework for next-place prediction on location based social networks. - Carmela Comito (Knowl. Based Syst., 2020)

Diagnosis prediction based on similarity of patients physiological parameters. - Carmela Comito; Deborah Falcone; Agostino Forestiero (ASONAM, 2021)

Predicting COVID-19 with AI techniques: current research and future directions. - Carmela Comito; Clara Pizzuti (ASONAM, 2021)

A dynamic power-aware strategy for Smart Health applications. - Carmela Comito; Deborah Falcone; Agostino Forestiero; Giuseppe Papuzzo (CHASE, 2021)

Diagnosis Detection Support based on Time Series Similarity of Patients Physiological Parameters. - Carmela Comito; Deborah Falcone; Agostino Forestiero (ICTAI, 2021)

COVID-19 Concerns in US: Topic Detection in Twitter. - Carmela Comito (IDEAS, 2021)

Convergence Between IoT and AI for Smart Health and Predictive Medicine. - Carmela Comito; Deborah Falcone; Agostino Forestiero (Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022)

Social Media Mining and Analysis to support authorities in COVID-19 pandemic preparedness. - Carmela Comito (BIBM, 2022)

Sensing Social Media to Forecast COVID-19 Cases. - Carmela Comito (ISCC, 2022)

Fake News on Social Media: Current Research and Future Directions. - Luciano Caroprese; Carmela Comito; Ester Zumpano (PerSOM, 2022)

AI-Driven Clinical Decision Support: Enhancing Disease Diagnosis Exploiting Patients Similarity. - Carmela Comito; Deborah Falcone; Agostino Forestiero (IEEE Access, 2022)

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review. - Carmela Comito; Clara Pizzuti (Artif. Intell. Medicine, 2022)

A fuzzy logic technique for virtual sensor networks. - Luciano Caroprese; Carmela Comito; Domenico Talia; Ester Zumpano (Future Gener. Comput. Syst., 2022)

How COVID-19 Information Spread in U.S.? The Role of Twitter as Early Indicator of Epidemics. - Carmela Comito (IEEE Trans. Serv. Comput., 2022)

Exploring COVID-19 Discourse: Analyzing Sentiments for Fake News Detection in Twitter Topics. - Carmela Comito (ASONAM, 2023)

How Do We Talk and Feel About COVID-19? Sentiment Analysis of Twitter Topics. - Carmela Comito (BigData, 2023)

Fighting Misinformation, Radicalization and Bias in Social Media. - Erica Coppolillo; Carmela Comito; Marco Minici; Ettore Ritacco; Gianluigi Folino; Francesco Sergio Pisani; Massimo Guarascio 001; Giuseppe Manco 001 (Ital-IA, 2023)

Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. - Angelica Liguori; Simone Mungari; Marco Zuppelli; Carmela Comito; Enrico Cambiaso; Matteo Repetto; Massimo Guarascio 001; Luca Caviglione; Giuseppe Manco 001 (Ital-IA, 2023)

Towards Self-Supervised Cross-Domain Fake News Detection. - Carmela Comito; Francesco Sergio Pisani; Erica Coppolillo; Angelica Liguori; Massimo Guarascio 001; Giuseppe Manco 001 (ITASEC, 2023)

A First Attempt to Detect Misinformation in Russia-Ukraine War News through Text Similarity. - Nina Khairova; Bogdan Ivasiuk; Fabrizio Lo Scudo; Carmela Comito; Andrea Galassi (LDK, 2023)

Understanding Spreading Dynamics of COVID-19 by Mining Human Mobility Patterns. - Carmela Comito; Deborah Falcone (NUMTA (3), 2023)

ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper). - Luca Caviglione; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001; Francesco Sergio Pisani; Marco Zuppelli (SEBD, 2023)

Overview of Artificial Intelligence Methods for Alzheimer's Disease Prediction and Progression. - Carmela Comito; Clara Pizzuti; Marcello Sammarra (SITIS, 2023)

Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. - Rosario Catelli; Serena Pelosi; Carmela Comito; Clara Pizzuti; Massimo Esposito (Comput. Biol. Medicine, 2023)

Multimodal fake news detection on social media: a survey of deep learning techniques. - Carmela Comito; Luciano Caroprese; Ester Zumpano (Soc. Netw. Anal. Min., 2023)

Uncovering Alzheimer's Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain Networks. - Carmela Comito; Annalisa Socievole (IEEE Big Data, 2024)

Network Fragility: Dual Graph Insights into Link and Node Removal Using Effective Resistance. - Carmela Comito; Annalisa Socievole (IEEE Big Data, 2024)

A Distributed AI-based Disease Classification Approach. - Carmela Comito; Agostino Forestiero; Bettina Fazzinga (DCOSS-IoT, 2024)

Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection. - Carmela Comito; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Francesco Sergio Pisani (DS (2), 2024)

Polarization and Misinformation: Anticipating Early Signs of Potential Fake News on Social Media. - Carmela Comito (IISA, 2024)

Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. - Luca Caviglione; Carmela Comito; Erica Coppolillo; Daniela Gallo; Massimo Guarascio 001; Angelica Liguori; Giuseppe Manco 001; Marco Minici; Simone Mungari; Francesco Sergio Pisani; Ettore Ritacco; Antonino Rullo; et al. (Ital-IA, 2024)

Integrating Brain Networks and Multi-Modal Data for Early Detection of Alzheimer's Disease. - Carmela Comito; Clara Pizzuti; Marcello Sammarra; Annalisa Socievole (SEBD, 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)

Comparative analysis of AI algorithms on real medical data for chronic pain detection. - Carmela Comito; Agostino Forestiero; Davide Macrì; Elisabetta Metlichin; Gian Domenico Giusti; Nicola Ramacciati (Int. J. Medical Informatics, 2025)

Breaking domain barriers: mixture of experts for cross-domain fake news detection. - Angelica Liguori; Francesco Sergio Pisani; Carmela Comito; Massimo Guarascio 001; Giuseppe Manco 001 (Mach. Learn., 2025)

M3DUSA: A Modular Multi-Modal Deep fUSion Architecture for fake news detection on social media. - Liliana Martirano; Carmela Comito; Massimo Guarascio 001; Francesco Sergio Pisani; Paolo Zicari (Soc. Netw. Anal. Min., 2025)