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A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG., , and . BIOSIGNALS (1), page 140-145. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2008)Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification., , and . BIOSIGNALS, page 239-244. INSTICC Press, (2009)Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification., , , and . BIOSIGNALS, page 13-20. INSTICC Press, (2010)A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs., , and . BIOSTEC (Selected Papers), volume 25 of Communications in Computer and Information Science, page 256-264. Springer, (2008)Improving the transition modelling in hidden Markov models for ECG segmentation., , and . ESANN, (2009)Feature Selection for Interpatient Supervised Heart Beat Classification., , , and . Comp. Int. and Neurosc., (2011)Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs., , and . ECML/PKDD (1), volume 6911 of Lecture Notes in Computer Science, page 455-470. Springer, (2011)Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification., , , and . BIOSTEC (Selected Papers), volume 127 of Communications in Computer and Information Science, page 212-223. Springer, (2010)Class-Specific Feature Selection for One-Against-All Multiclass SVMs., , and . ESANN, (2011)Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification., , , and . IEEE Trans. Biomed. Engineering, 59 (1): 241-247 (2012)