Barbara Calabrese

发表

EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation

Mario Cannataro, Arrigo Palumbo, Nicola Ielpo, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

An Embedded System for EEG Acquisition and Processing for Brain Computer Interface Applications

Mario Cannataro, Francesco Amato, Pietro Hiram Guzzi, 2010 .

A system for ubiquitous distributed acquisition of voice alteration samples through a mobile application

Giuseppe Tradigo, Pierangelo Veltri, Barbara Calabrese, 2014, BCB.

Linkage Disequilibrium

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Voice signal features analysis and classification: looking for new diseases related parameters

Giuseppe Tradigo, Eugenio Vocaturo, Pierangelo Veltri, 2015, BCB.

Sentiment analysis and affective computing for depression monitoring

Mario Cannataro, Chiara Zucco, Barbara Calabrese, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data Cleaning

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Automatic detection of obstructive sleep apnea syndrome based on snore signals

Mario Cannataro, Pierangelo Veltri, Barbara Calabrese, 2009, MAVEBA.

A System for the Analysis of Snore Signals

Mario Cannataro, Pietro Hiram Guzzi, Pierangelo Veltri, 2011, ICCS.

A pipeline for mining association rules from large datasets of retailers invoices

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2019, APPIS.

The Brindisys Project

Francesco Amato, Febo Cincotti, Massimo Mecella, 2012 .

A Novel Portable Device for Laryngeal Pathologies Analysis and Classification

Mario Cannataro, Francesco Amato, Pierangelo Veltri, 2010 .

Standards and Models for Biological Data: FGED and HUPO

Barbara Calabrese, B. Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2016, 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

Cloud Computing in Healthcare and Biomedicine

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2015, Scalable Comput. Pract. Exp..

Sentiment analysis for mining texts and social networks data: Methods and tools

Mario Cannataro, Chiara Zucco, Giuseppe Agapito, 2019, WIREs Data Mining Knowl. Discov..

Experiences of using a DSP based device for vocal signal analysis

Mario Cannataro, Francesco Amato, Arrigo Palumbo, 2011, MAVEBA.

DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, HealthRecSys@RecSys.

Standards and Models for Biological Data: Common Formats

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Data Integration and Transformation

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Assistive device with conventional, alternative, and brain-computer interface inputs to enhance interaction with the environment for people with amyotrophic lateral sclerosis: a feasibility and usability study.

Febo Cincotti, Massimo Mecella, Donatella Mattia, 2015, Archives of physical medicine and rehabilitation.

Experimental Platforms for Extracting Biological Data: Mass Spectrometry, Microarray, Next Generation Sequencing

Barbara Calabrese, B. Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Computational challenges for sentiment analysis in life sciences

Mario Cannataro, Chiara Zucco, Giuseppe Agapito, 2016, 2016 International Conference on High Performance Computing & Simulation (HPCS).

DIETOS: A dietary recommender system for chronic diseases monitoring and management

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2018, Comput. Methods Programs Biomed..

Bioinformatics and Microarray Data Analysis on the Cloud.

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2016, Methods in molecular biology.

Cloud-Based Bioinformatics Tools

Barbara Calabrese, B. Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Cloud-Based Bioinformatics Platforms

Barbara Calabrese, B. Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Study on Squeaking Hip Analysis

Pierangelo Veltri, Barbara Calabrese, Patrizia Vizza, 2014, 2014 IEEE International Conference on Healthcare Informatics.

Using Social Networks Data for Behavior and Sentiment Analysis

Mario Cannataro, Nicola Ielpo, Barbara Calabrese, 2015, IDCS.

Cloud-Based Molecular Modeling Systems

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2014, 2014 International Conference on High Performance Computing & Simulation (HPCS).

A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects

Mario Cannataro, Barbara Calabrese, Sara Gasparini, 2020, Sensors.

Sentiment Analysis and Affective Computing: Methods and Applications

Mario Cannataro, Barbara Calabrese, M. Cannataro, 2015, BrainComp.

Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2017, 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

Association Rule Mining from large datasets of clinical invoices document

Mario Cannataro, Giuseppe Agapito, Pietro Hiram Guzzi, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Data Reduction

Barbara Calabrese, 2019, Encyclopedia of Bioinformatics and Computational Biology.

An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, 2022, Sensors.

A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper)

Mario Cannataro, Chiara Zucco, Barbara Calabrese, 2021, SEBD.

Biopotential Signal Monitoring Systems in Rehabilitation: A Review

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, 2021, Sensors.

Motor-Imagery EEG-based BCIs in Wheelchairs Movement and Control: A Systematic Literature Review

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, 2021 .