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Fabio Ciravegna

Fabio Ciravegna

D-Index & Metrics

Computer Science

D-Index
32
Citations
6483
World Ranking
12946
National Ranking
451

Overview

Fabio Ciravegna is affiliated with the University of Turin in Italy and conducts research primarily in the fields of Medicine and Computer Science. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, General Health Professions, Physical Therapy, Sports Therapy and Rehabilitation, and Neurology.

The main topics of Fabio Ciravegna's research include:

  • Context-Aware Activity Recognition Systems
  • Balance, Gait, and Falls Prevention
  • Cerebral Palsy and Movement Disorders
  • Cardiac Health and Mental Health
  • Heart Rate Variability and Autonomic Control
  • Non-Invasive Vital Sign Monitoring
  • Parkinson's Disease Mechanisms and Treatments

Recent publications by Fabio Ciravegna cover a range of applied research areas. Notable papers include:

  • "A Low Cost Indoor Positioning System Using Bluetooth Low Energy," 2020, IEEE Access
  • "Technical validation of real-world monitoring of gait: a multicentric observational study," 2021, BMJ Open
  • "Wearable technology and the cardiovascular system: the future of patient assessment," 2023, The Lancet Digital Health
  • "Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data," 2022, IEEE Transactions on Industrial Informatics
  • "Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease," 2023, Frontiers in Neurology

Frequent collaborators in Fabio Ciravegna's research include Neil Ireson, Silvia Del Din, Lisa Alcock, Stefano Bertuletti, and Vitaveska Lanfranchi.

Their publications are frequently found in venues such as BMJ Open, arXiv (Cornell University), IEEE Access, The Lancet Digital Health, and IEEE Transactions on Industrial Informatics.

Best Publications

  • Semantic annotation for knowledge management: Requirements and a survey of the state of the art

    Victoria Uren;Philipp Cimiano;José Iria;Siegfried Handschuh

  • S-CREAM - Semi-automatic CREAtion of Metadata

    Siegfried Handschuh;Steffen Staab;Fabio Ciravegna

  • MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup

    Maria Vargas-Vera;Enrico Motta;John Domingue;Mattia Lanzoni

  • Adaptive information extraction from text by rule induction and generalisation

    Fabio Ciravegna

  • A Comparative Evaluation of Term Recognition Algorithms

    Ziqi Zhang;José Iria;Christopher Brewster;Fabio Ciravegna

  • User-System Cooperation in Document Annotation Based on Information Extraction

    Fabio Ciravegna;Alexiei Dingli;Daniela Petrelli;Yorick Wilks

  • Learning to harvest information for the semantic web

    Fabio Ciravegna;Sam Chapman;Alexiei Dingli;Yorick Wilks

  • Hybrid search: effectively combining keywords and semantic searches

    Ravish Bhagdev;Sam Chapman;Fabio Ciravegna;Vitaveska Lanfranchi

  • (LP) 2 , an Adaptive Algorithm for Information Extraction from Web-related Texts

    Fabio Ciravegna

  • A Low Cost Indoor Positioning System Using Bluetooth Low Energy

    Lu Bai;Fabio Ciravegna;Raymond Bond;Maurice Mulvenna

  • Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media

    Miles Osborne;Sean Moran;Richard McCreadie;Alexander Von Lunen

  • Automatic semantic annotation using unsupervised information extraction and integration

    Alexiei Dingli;Fabio Ciravegna;Yorick Wilks

  • User-centred ontology learning for knowledge management

    Christopher Brewster;Fabio Ciravegna;Yorick Wilks

  • User-Centred Ontology Learning for Knowledge Management

    Christopher Brewster;Fabio Ciravegna;Yorick Wilks

  • Image annotation with Photocopain

    Mischa M. Tuffield;Stephen Harris;David P. Dupplaw;Ajay Chakravarthy

  • Recent advances in methods of lexical semantic relatedness - a survey

    Ziqi Zhang;Anna Lisa Gentile;Fabio Ciravegna

  • Evaluating machine learning for information extraction

    Neil Ireson;Fabio Ciravegna;Mary Elaine Califf;Dayne Freitag

  • Background and Foreground Knowledge in Dynamic Ontology Construction: Viewing Text as Knowledge Maintenance

    Christopher Brewster;Fabio Ciravegna;Yorick Wilks

  • Integrating information to bootstrap information extraction from web sites

    Fabio Ciravegna;Alexiei Dingli;David Guthrie;Yorick Wilks

  • Cross-media document annotation and enrichment.

    Ajay Chakravarthy;Fabio Ciravegna;Vitaveska Lanfranchi

  • S-CREAM: Semiautomatic CREAtion of Metadata.

    Siegfried Handschuh;Steffen Staab;Fabio Ciravegna

Frequent Co-Authors

Yorick Wilks
Yorick Wilks Florida Institute for Human and Machine Cognition
Steffen Staab
Steffen Staab University of Stuttgart
Philipp Cimiano
Philipp Cimiano Bielefeld University
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen
Enrico Motta
Enrico Motta The Open University
John Domingue
John Domingue The Open University
Siegfried Handschuh
Siegfried Handschuh University of St. Gallen
Yannis Avrithis
Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)
Yulan He
Yulan He King's College London
Nigel Shadbolt
Nigel Shadbolt University of Oxford

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