Publicacoes - INESC TEC

Publicações

Publicações por Jaime Cardoso

2015

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III

Autores
Bifet, A; May, M; Zadrozny, B; Gavaldà, R; Pedreschi, D; Bonchi, F; Cardoso, JS; Spiliopoulou, M;

Publicação
ECML/PKDD (3)

Abstract

2020

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

Autores
Cardoso, JS; Nguyen, HV; Heller, N; Abreu, PH; Isgum, I; Silva, W; Cruz, R; Amorim, JP; Patel, V; Roysam, B; Zhou, SK; Jiang, SB; Le, N; Luu, K; Sznitman, R; Cheplygina, V; Mateus, D; Trucco, E; Sureshjani, SA;

Publicação
iMIMIC/MIL3ID/LABELS@MICCAI

Abstract

2022

Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings

Autores
Reyes, M; Abreu, PH; Cardoso, JS;

Publicação
iMIMIC@MICCAI

Abstract

2021

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Autores
Reyes, M; Abreu, PH; Cardoso, JS; Hajij, M; Zamzmi, G; Paul, R; Thakur, L;

Publicação
iMIMIC/TDA4MedicalData@MICCAI

Abstract

2019

SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities

Autores
Pernes, D; Cardoso, JS;

Publicação
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019

Abstract

2019

Sparse Multi-Bending Snakes

Autores
Araújo, RJ; Fernandes, K; Cardoso, JS;

Publicação
IEEE Trans. Image Process.

Abstract