Mamede de Carvalho

According to our database, Mamede de Carvalho authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.

Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo

BMC Medical Informatics Decis. Mak., December, 2024

An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.

Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro

J. Biomed. Semant., December, 2024

iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.

Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi

Proceedings of the Advances in Information Retrieval, 2024

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.

Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024

Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.

Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge.

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Dataset, November, 2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.

Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo

Artif. Intell. Medicine, August, 2023

A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography.

Margarida Antunes, Duarte Folgado, Marília Barandas, André V. Carreiro, Carla Quintão, Mamede de Carvalho, Hugo Gamboa

Biomed. Signal Process. Control., 2023

iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi

Proceedings of the Advances in Information Retrieval, 2023

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.

Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.

Andreia S. Martins, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.

Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira

J. Biomed. Informatics, 2022

Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.

Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.

Tiago Leão, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Alexandra M. Carvalho

J. Biomed. Informatics, 2021

2020

Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.

Diogo F. Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.

Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.

Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Predictive Medicine Using Interpretable Recurrent Neural Networks.

André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.

Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

CoRR, 2019

Electric Field Distribution during Non-Invasive Electric and Magnetic Stimulation of the Cervical Spinal Cord.

Sofia Rita Fernandes, Ricardo Salvador, Mamede de Carvalho, Pedro Cavaleiro Miranda

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.

Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2016

Influence of electrode configuration on the electric field distribution during transcutaneous spinal direct current stimulation of the cervical spine.

Sofia R. Fernandes, Ricardo Salvador, Cornelia Wenger, Mamede de Carvalho, Pedro Cavaleiro Miranda

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

The effect of inter-electrode distance on the electric field distribution during transcutaneous lumbar spinal cord direct current stimulation.

Rui Bastos, Sofia R. Fernandes, Ricardo Salvador, Cornelia Wenger, Mamede de Carvalho, Pedro Cavaleiro Miranda

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis.

André Valério Carreiro, Pedro M. T. Amaral, Susana Pinto, Pedro Tomás, Mamede de Carvalho, Sara C. Madeira

J. Biomed. Informatics, 2015

Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production.

Pedro Gómez Vilda, Ana Rita Londral, María Victoria Rodellar Biarge, José Manuel Ferrández de Vicente, Mamede de Carvalho

Neurocomputing, 2015

Electromyographic Signal Dynamic Behavior in Neuropathies - Spectral Parameters Evaluation and Classification.

Maria Marta Santos, Ana Luísa Gomes, Hugo Gamboa, Mamede de Carvalho, Susana Pinto, Carla Quintão

Proceedings of the BIOSIGNALS 2015, 2015

2014

Coherence and Phase Locking Disruption in Electromyograms of Patients with Amyotrophic Lateral Sclerosis.

Mafalda Camara, Mamede de Carvalho, Tiago Araújo, Hugo Gamboa, Carla Quintão

Proceedings of the BIOSIGNALS 2014, 2014

2013

A Method to Detect Keystrokes using Accelerometry to Quantify Typing Rate and Monitor Neurodegenerative Progression.

Ana Londral, Mafalda Camara, Hugo Gamboa, Mamede de Carvalho, Anabela Pinto, Luís Azevedo

Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, 2013

2012

Clinical Neurophysiology - Engineering and Medicine.

Mamede de Carvalho

Proceedings of the BIODEVICES 2012 - Proceedings of the International Conference on Biomedical Electronics and Devices, Vilamoura, Algarve, Portugal, 1, 2012