Luca Cinelli

ORCID: 0000-0002-8856-274X
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About
Contact & Profiles
Research Areas
  • Topic Modeling
  • Data Stream Mining Techniques
  • Logic, Reasoning, and Knowledge
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Caching and Content Delivery
  • Traffic Prediction and Management Techniques
  • Bayesian Modeling and Causal Inference
  • Natural Language Processing Techniques
  • Anomaly Detection Techniques and Applications
  • Machine Learning in Bioinformatics
  • Smart Cities and Technologies
  • Network Security and Intrusion Detection
  • Bioinformatics and Genomic Networks
  • Human Mobility and Location-Based Analysis
  • Biomedical Text Mining and Ontologies
  • Public Health in Brazil
  • Business and Management Studies

University of Calabria
2019-2020

University of Calabar
2019

Instituto Nacional de Metrologia, Qualidade e Tecnologia
2018

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10.1017/s1471068419000449 article EN Theory and Practice of Logic Programming 2019-12-02

This article was prepared in the context of work Fluids Measurement Sector (Seflu) Legal Metrology Department Inmetro (Dimel) order to try answer following question: What is magnitude Social Profit generated for brazilian society from existence legal control measuring instruments within scope this sector? In sense, some examples a case study containing main measurement related evaluation process models performed at Seflu are presented.

10.1088/1742-6596/975/1/012018 article EN Journal of Physics Conference Series 2018-03-01

Deductive formalisms have been strongly developed in recent years; among them, Answer Set Programming (ASP) gained some momentum, and has lately fruitfully employed many real-world scenarios. Nonetheless, spite of a large number success stories relevant application areas, even industrial contexts, deductive reasoning cannot be considered the ultimate, comprehensive solution to AI; indeed, several other approaches result more useful. Typical Bioinformatics tasks, for instance classification,...

10.48550/arxiv.1910.09472 preprint EN other-oa arXiv (Cornell University) 2019-01-01
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