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4 papers · 2 filters
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Asim Smailagic, Pedro Costa, Alex Gaudio +9
Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend…
Evaluating time series forecasting models: An empirical study on performance estimation methods
Vitor Cerqueira, Luis Torgo, Igor Mozetic
Performance estimation aims at estimating the loss that a predictive model will incur on unseen data. These procedures are part of the pipeline in every machine learning project an…
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities
Diogo Pernes, Jaime S. Cardoso
We propose a framework to model the distribution of sequential data coming from a set of entities connected in a graph with a known topology. The method is based on a mixture of sh…
Preference rules for label ranking: Mining patterns in multi-target relations
Cláudio Rebelo de Sá, Paulo Azevedo, Carlos Soares +2
In this paper we investigate two variants of association rules for preference data, Label Ranking Association Rules and Pairwise Association Rules. Label Ranking Association Rules…