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Towards Explainable Personalized Recommendations by Learning from Users' Photos [2020]
Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation [2020]
Improving the ϵ -approximate algorithm for Probabilistic Classifier Chains [2020]
Feature selection in image analysis: a survey [2020]
DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation [2020]
Automatic classification of retinal blood vessels based on multilevel thresholding and graph propagation [2020]
Large scale anomaly detection in mixed numerical and categorical input spaces [2019]
Improving recommender systems by encoding items and user profiles considering the order in their consumption history [2019]
Automatic detection of defective crankshafts by image analysis and supervised classification [2019]
A scalable decision-tree-based method to explain interactions in dyadic data [2019]
A review of feature selection methods in medical applications [2019]
Automatic plankton quantification using deep features [2019]
Optimizing novelty and diversity in recommendations [2018]
Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants [2018]
Dynamic ensemble selection for quantification tasks [2018]
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