Marta Gromicho

23 papers B 1Misc 1Journal 8Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
PatientFlow: Learning to generate mixed-type longitudinal clinical data with flow matching.
Artif. Intell. Medicine
Ruben Branco, Marta Gromicho, Mamede de Carvalho, Piero Fariselli, Sara C. Madeira
2025 — conf
Effect of Environmental Personal Exposure on Amyotrophic Lateral Sclerosis Disease Progression.
ICHI
Pietro Bosoni, Irene Aiello, Umberto Manera, Marta Gromicho, Inês Alves, Barbara Di Camillo, Mamede de Carvalho, Adriano Chiò, Riccardo Bellazzi, Arianna Dagliati
2025 — conf
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis.
AIME (1)
Davide Dei Cas, Enrico Longato, Erica Tavazzi, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2024 J jnl
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.
J. Biomed. Semant.
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
2024 B conf
Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis.
ESANN
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos
2024 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024.
CLEF (2)
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
2024 — conf
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
2024 J jnl
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study.
BMC Medical Informatics Decis. Mak.
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
2024 — conf
Unveiling Trustworthy AI Challenges: Characterizing Prediction Reliability.
RTSI
Isotta Trescato, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Martina Vettoretti, Umberto Manera, Adriano Chiò, Marta Gromicho, Inês Alves, Mamede de Carvalho, Barbara Di Camillo
2023 J jnl
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.
Artif. Intell. Medicine
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
2023 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023.
CLEF
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
2023 — conf
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
2022 — conf
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022.
CLEF
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
2022 J jnl
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Andreia S. Martins, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2022 J jnl
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics
Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira
2022 — conf
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge.
CLEF (Working Notes)
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
2021 J jnl
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis.
J. Biomed. Informatics
Tiago Leão, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Alexandra M. Carvalho
2020 — conf
Patient Stratification Using Clinical and Patient Profiles: Targeting Personalized Prognostic Prediction in ALS.
IWBBIO
Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2020 — conf
Predictive Medicine Using Interpretable Recurrent Neural Networks.
ICPR Workshops (1)
André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho
2020 Misc conf
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS.
PACBB
Diogo F. Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2020 — conf
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery.
IWBBIO
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2019 J jnl
Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors.
CoRR
Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
2018 — conf
Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups.
ICDM Workshops
Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira