Barbara Calabrese

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Remote Monitoring

Affective Computing

Top Venues

Publications

Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, Remo Garropoli, Vera Gramigna, Antonio Ammendolia, Nicola Marotta
An Innovative Device Based on Human-Machine Interface (HMI) for Powered Wheelchair Control for Neurodegenerative Disease: A Proof-of-Concept. Sensors 24 (15) (2024)
Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro
Resting-State EEG Classification for PNES Diagnosis. ICCS (1) (2022)
Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese
An FPGA-Embedded Brain-Computer Interface System to Support Individual Autonomy in Locked-In Individuals. Sensors 22 (1) (2022)
Chiara Zucco, Barbara Calabrese, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro
A software pipeline for pre-processing and mining EEG signals: application in neurology (Discussion Paper). SEBD (2021)
Arrigo Palumbo, Vera Gramigna, Barbara Calabrese, Nicola Ielpo
Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review. Sensors 21 (18) (2021)
Arrigo Palumbo, Patrizia Vizza, Barbara Calabrese, Nicola Ielpo
Biopotential Signal Monitoring Systems in Rehabilitation: A Review. Sensors 21 (21) (2021)
Arrigo Palumbo, Nicola Ielpo, Barbara Calabrese, Domenico Corchiola, Remo Garropoli, Vera Gramigna, Giovanni Perri
SIMpLE: A Mobile Cloud-Based System for Health Monitoring of People with ALS. Sensors 21 (21) (2021)
Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Sentiment analysis for mining texts and social networks data: Methods and tools. WIREs Data Mining Knowl. Discov. 10 (1) (2020)
Giuseppe Varone, Sara Gasparini, Edoardo Ferlazzo, Michele Ascoli, Giovanbattista Gaspare Tripodi, Chiara Zucco, Barbara Calabrese, Mario Cannataro, Umberto Aguglia
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects. Sensors 20 (4) (2020)
Arrigo Palumbo, Barbara Calabrese, Nicola Ielpo, A. Demeco, Antonio Ammendolia, Domenico Corchiola
Cloud-based biomedical system for remote monitoring of ALS patients. BIBM (2020)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro
A pipeline for mining association rules from large datasets of retailers invoices. APPIS (2019)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Sabrina Graziano, Mario Cannataro
Association Rule Mining from large datasets of clinical invoices document. BIBM (2019)
Chiara Zucco, Barbara Calabrese, Mario Cannataro
Emotion Mining: from Unimodal to Multimodal Approaches. BrainComp (2019)
Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Ilaria Care, Theodora Lamprinoudi, Pietro Hiram Guzzi, Arturo Pujia, Giorgio Fuiano, Mario Cannataro
DIETOS: A dietary recommender system for chronic diseases monitoring and management. Comput. Methods Programs Biomed. 153 (2018)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Gionata Fragomeni, Giuseppe Tradigo, Pierangelo Veltri, Mario Cannataro
Parallel and Cloud-Based Analysis of Omics Data: Modelling and Simulation in Medicine. PDP (2017)
Chiara Zucco, Barbara Calabrese, Mario Cannataro
Sentiment analysis and affective computing for depression monitoring. BIBM (2017)
Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro
DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases. HealthRecSys@RecSys (2017)
F. Ciullo, Chiara Zucco, Barbara Calabrese, Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro
Computational challenges for sentiment analysis in life sciences. HPCS (2016)
Giuseppe Agapito, Barbara Calabrese, Pietro Hiram Guzzi, Mario Cannataro, Mariadelina Simeoni, Ilaria Care, Theodora Lamprinoudi, Giorgio Fuiano, Arturo Pujia
DIETOS: A recommender system for adaptive diet monitoring and personalized food suggestion. WiMob (2016)
Giuseppe Tradigo, Barbara Calabrese, Manuela Macrí, Eugenio Vocaturo, Nicola Lombardo, Pierangelo Veltri
Voice signal features analysis and classification: looking for new diseases related parameters. BCB (2015)
Barbara Calabrese, Mario Cannataro
Cloud Computing in Healthcare and Biomedicine. Scalable Comput. Pract. Exp. 16 (1) (2015)
Barbara Calabrese, Mario Cannataro, Nicola Ielpo
Using Social Networks Data for Behavior and Sentiment Analysis. IDCS (2015)
Barbara Calabrese, Mario Cannataro
Sentiment Analysis and Affective Computing: Methods and Applications. BrainComp (2015)
Nicola Ielpo, Barbara Calabrese, Mario Cannataro, Arrigo Palumbo, S. Ciliberti, C. Grillo, Maurizio Iocco
EMG-Miner: Automatic Acquisition and Processing of Electromyographic Signals: First Experimentation in a Clinical Context for Gait Disorders Evaluation. CBMS (2014)
Patrizia Vizza, Giuseppe Tedesco, Barbara Calabrese, Olimpio Galasso, Giorgio Gasparini, Pierangelo Veltri
Study on Squeaking Hip Analysis. ICHI (2014)
Giuseppe Agapito, Barbara Calabrese, Ilaria Care, Daniela Falcone, Pietro Hiram Guzzi, Nicola Ielpo, Theodora Lamprinoudi, Marianna Milano, Mariadelina Simeoni, Mario Cannataro
Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents. HPCS (2014)
Pietro Cinaglia, Manuela Macrí, Barbara Calabrese, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri
A system for ubiquitous distributed acquisition of voice alteration samples through a mobile application. BCB (2014)
Barbara Calabrese, Franco Pucci, Miriam Sturniolo, Pietro Hiram Guzzi, Pierangelo Veltri, Antonio Gambardella, Mario Cannataro
A System for the Analysis of Snore Signals. ICCS (2011)
Arrigo Palumbo, Pierangelo Veltri, Barbara Calabrese, Patrizia Vizza, Mario Cannataro, Aldo Garozzo, Nicola Lombardo, Francesco Amato
Experiences of using a DSP based device for vocal signal analysis. MAVEBA (2011)
Barbara Calabrese, Franco Pucci, Miriam Sturniolo, Pierangelo Veltri, Antonio Gambardella, Mario Cannataro
Automatic detection of obstructive sleep apnea syndrome based on snore signals. MAVEBA (2009)