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Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.

, , , , and . Artif. Intell. Medicine, 58 (2): 101-114 (2013)

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How to improve the statistical power of the 10-fold cross validation scheme in recommender systems., , and . RepSys@RecSys, page 3-6. ACM, (2013)Emotion-Aware Recommender Systems - A Framework and a Case Study., , , , and . ICT Innovations, volume 207 of Advances in Intelligent Systems and Computing, page 141-150. Springer, (2012)4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE)., , , and . RecSys, page 407. ACM, (2016)Exploiting implicit affective labeling for image recommendations., , , and . SMC, page 3321-3326. IEEE, (2012)The Million Musical Tweet Dataset - What We Can Learn From Microblogs., , , and . ISMIR, page 189-194. (2013)Weak Ground Truth Determination of Continuous Human-Rated Data., , and . IEEE Access, (2021)Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System., , , and . Interact. Comput., 25 (1): 74-90 (2013)Increasing Top-20 Diversity Through Recommendation Post-processing., , , , and . SemWebEval@ESWC, volume 475 of Communications in Computer and Information Science, page 188-192. Springer, (2014)Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance., , , and . UMAP Workshops, volume 7138 of Lecture Notes in Computer Science, page 342-354. Springer, (2011)Noise variance estimation based on measured maximums of sampled subsets., , , and . Math. Comput. Simul., 65 (6): 629-639 (2004)