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2020 – today
- 2024
[j10]Eduardo N. Castanho, Helena Aidos, Sara C. Madeira
:
Biclustering data analysis: a comprehensive survey. Briefings Bioinform. 25(4) (2024)- [c43]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. CLEF (2) 2024: 118-139 - [c42]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:
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2024: 1312-1331 - [c41]Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos:
Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data. CLEF (Working Notes) 2024: 1366-1379 - [c40]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:
iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. ECIR (6) 2024: 53-59 - [i1]Hugo Figueiras, Helena Aidos, Nuno Cruz Garcia:
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation. CoRR abs/2402.14114 (2024) - 2023
- [j9]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:
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142: 102588 (2023) - [j8]João Guerreiro, Pedro Tomás, Nuno C. Garcia, Helena Aidos:
Super-resolution of magnetic resonance images using Generative Adversarial Networks. Comput. Medical Imaging Graph. 108: 102280 (2023) - [j7]Bernardo Gomes, José Coelho, Helena Aidos:
A survey on traffic flow prediction and classification. Intell. Syst. Appl. 20: 200268 (2023) - [c39]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. CLEF 2023: 343-369 - [c38]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:
Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2023: 1123-1164 - [c37]Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. CLEF (Working Notes) 2023: 1186-1198 - [c36]Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos:
Survival Analysis for Multiple Sclerosis: Predicting Risk of Disease Worsening. CLEF (Working Notes) 2023: 1199-1209 - [c35]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:
iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. ECIR (3) 2023: 491-498 - [c34]Gonçalo Falcão, Armando M. Fernandes, Nuno C. Garcia, Helena Aidos, Pedro Tomás:
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes. EUSIPCO 2023: 1370-1374 - [d1]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:
iDPP@CLEF 2023 - Participants' repositories for the Intelligent Disease Prediction Progression Challenge. Zenodo, 2023
- 2022
- [j6]Eduardo N. Castanho, Helena Aidos, Sara C. Madeira:
Biclustering fMRI time series: a comparative study. BMC Bioinform. 23(1): 192 (2022) - [j5]Helena Aidos:
Exploiting second-order dissimilarity representations for hierarchical clustering and visualization. Data Min. Knowl. Discov. 36(4): 1371-1400 (2022) - [j4]João Mendes, José Domingues, Helena Aidos, Nuno C. Garcia, Nuno Matela:
AI in Breast Cancer Imaging: A Survey of Different Applications. J. Imaging 8(9): 228 (2022) - [c33]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:
Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. CLEF 2022: 395-422 - [c32]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:
Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. CLEF (Working Notes) 2022: 1130-1210 - [c31]Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita Torres Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos:
Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. CLEF (Working Notes) 2022: 1211-1227 - [c30]Susana Nunes, Rita Torres Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos, Catia Pesquita:
Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. CLEF (Working Notes) 2022: 1256-1268 - 2020
- [c29]Helena Aidos, Pedro Tomás:
Neighborhood-aware autoencoder for missing value imputation. EUSIPCO 2020: 1542-1546 - [c28]Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. IWBBIO 2020: 517-528 - [c27]Jorge Pessoa, Helena Aidos, Pedro Tomás, Mário A. T. Figueiredo:
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. SiPS 2020: 1-6
2010 – 2019
- 2019
- [c26]Pedro Sá, Helena Aidos, Nuno Roma, Pedro Tomás:
Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices. EUSIPCO 2019: 1-5 - 2018
- [c25]Diana Batista, Helena Aidos, Ana L. N. Fred, Joana Santos, Rui Cruz Ferreira, Rui César das Neves:
Protecting the ECG Signal in Cloud-based User Identification System - A Dissimilarity Representation Approach. BIOSIGNALS 2018: 78-86 - [c24]Nuno Lourenço, Joao Rosa, Ricardo Martins, Helena Aidos, António Canelas, Ricardo Povoa, Nuno Horta:
On the Exploration of Promising Analog IC Designs via Artificial Neural Networks. SMACD 2018: 133-136 - 2017
- [j3]Helena Aidos, Ana L. N. Fred:
Discrimination of Alzheimer's Disease using longitudinal information. Data Min. Knowl. Discov. 31(4): 1006-1030 (2017) - [c23]Isidora Sasic, Sanja Brdar, Tatjana Loncar-Turukalo, Helena Aidos, Ana L. N. Fred:
Consensus Clustering for Cancer Gene Expression Data - Large-Scale Analysis using Evidence Accumulation Approach. BIOINFORMATICS 2017: 176-183 - [c22]Afonso Eduardo, Helena Aidos, Ana L. N. Fred:
ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability. ICPRAM 2017: 463-470 - 2016
- [c21]Diogo Silva, Helena Aidos, Ana L. N. Fred:
Efficient Evidence Accumulation Clustering for Large Datasets. ICPRAM 2016: 367-374 - 2015
- [c20]Helena Aidos, André Lourenço, Diana Batista, Samuel Rota Bulò, Ana L. N. Fred:
Semi-Supervised Consensus Clustering for ECG Pathology Classification. ECML/PKDD (3) 2015: 150-164 - [c19]Helena Aidos, Ana L. N. Fred:
A Novel Data Representation Based on Dissimilarity Increments. SIMBAD 2015: 1-14 - 2014
- [c18]Helena Aidos, João M. M. Duarte, Ana L. N. Fred:
Finding Coherent Regions in PET Images for the Diagnosis of Alzheimer's Disease. BIOIMAGING 2014: 12-18 - [c17]Helena Aidos, João M. M. Duarte, Ana L. N. Fred:
Diagnosing Alzheimer's Disease: Automatic Extraction and Selection of Coherent Regions in FDG-PET Images. BIOSTEC (Selected Papers) 2014: 101-112 - [c16]Helena Aidos, Ana L. N. Fred:
Learning Similarities by Accumulating Evidence in a Probabilistic Way. CIARP 2014: 596-603 - [c15]Helena Aidos, Ana L. N. Fred:
A family of hierarchical clustering algorithms based on high-order dissimilarities. EUSIPCO 2014: 1432-1436 - [c14]Helena Aidos, João M. M. Duarte, Ana L. N. Fred:
Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment. ICIP 2014: 21-25 - [c13]João M. M. Duarte, Helena Aidos, Ana L. N. Fred:
Feature Extraction in Pet Images for the Diagnosis of Alzheimer's Disease. ICPRAM 2014: 561-568 - 2013
- [c12]Carlos Carreiras, Helena Aidos, Hugo Silva, Ana L. N. Fred:
Exploratory EEG Analysis using Clustering and Phase-locking Factor. BIOSIGNALS 2013: 79-88 - [c11]Helena Aidos, Ana L. N. Fred:
Dissimilarity Increments Distribution in the Evidence Accumulation Clustering Framework. IbPRIA 2013: 535-542 - [c10]Helena Aidos, Robert P. W. Duin, Ana L. N. Fred:
The Area under the ROC Curve as a Criterion for Clustering Evaluation. ICPRAM 2013: 276-280 - [c9]Helena Aidos, Carlos Carreiras, Hugo Silva, Ana L. N. Fred:
Evidence Accumulation Approach applied to EEG Analysis. ICPRAM 2013: 479-484 - [c8]Carlos Carreiras, André Lourenço, Helena Aidos, Hugo Plácido da Silva, Ana L. N. Fred:
Morphological ECG Analysis for Attention Detection. IJCCI 2013: 381-390 - [p1]Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário A. T. Figueiredo, Marcello Pelillo:
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm. Similarity-Based Pattern Analysis and Recognition 2013: 85-117 - 2012
- [j2]Helena Aidos, Ana L. N. Fred:
Statistical modeling of dissimilarity increments for d-dimensional data: Application in partitional clustering. Pattern Recognit. 45(9): 3061-3071 (2012) - [c7]Helena Aidos, Ana L. N. Fred:
k-Nearest Neighbor Classification Using Dissimilarity Increments. ICIAR (1) 2012: 27-33 - [c6]Helena Aidos, Ana L. N. Fred, Robert P. W. Duin:
Classification using High Order Dissimilarities in Non-euclidean Spaces. ICPRAM (1) 2012: 306-309 - 2011
- [c5]Helena Aidos, Ana L. N. Fred:
On the Distribution of Dissimilarity Increments. IbPRIA 2011: 192-199 - [c4]Helena Aidos, Ana L. N. Fred:
Hierarchical Clustering with High Order Dissimilarities. MLDM 2011: 280-293 - [c3]Helena Aidos, Ana L. N. Fred:
A Study of Embedding Methods under the Evidence Accumulation Framework. SIMBAD 2011: 290-305 - 2010
- [j1]Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski:
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. J. Mach. Learn. Res. 11: 451-490 (2010) - [c2]Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma, Samuel Kaski:
An information retrieval perspective on visualization of gene expression data with ontological annotation. ICASSP 2010: 2178-2181
2000 – 2009
- 2009
- [c1]Jaakko Peltonen, Helena Aidos, Samuel Kaski:
Supervised nonlinear dimensionality reduction by Neighbor Retrieval. ICASSP 2009: 1809-1812
Coauthor Index
Ana Fred
aka: Ana L. N. Fred
aka: Ana L. N. Fred
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last updated on 2024-10-07 21:14 CEST by the dblp team
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