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Annals of Operations Research, Volume 276
Volume 276, Numbers 1-2, May 2019
- Anton Kocheturov
, Panos M. Pardalos, George Michailidis:
Preface: Computational biomedicine. 1-3 - Anton Kocheturov
Massive datasets and machine learning for computational biomedicine: trends and challenges. 5-34 - Saeid Rasti, Chrysafis Vogiatzis
A survey of computational methods in protein-protein interaction networks. 35-87 - Wanlu Gu, Neng Fan
Evaluating readmission rates and discharge planning by analyzing the length-of-stay of patients. 89-108 - Kai He, Lisa M. Maillart
Optimal sequencing of heterogeneous, non-instantaneous interventions. 109-135 - Alla R. Kammerdiner, Andre N. Guererro:
Data-driven combinatorial optimization for sensor-based assessment of near falls. 137-153 - Saeed Ketabchi, Hossein Moosaei
An improvement on parametric $$\nu $$ ν -support vector algorithm for classification. 155-168 - Anahita Khojandi, Oleg Shylo
Automatic EEG classification: a path to smart and connected sleep interventions. 169-190 - Orestis P. Panagopoulos, Petros Xanthopoulos
Relaxed support vector regression. 191-210 - Andrea Patané, Giorgio Jansen, Piero Conca, Giovanni Carapezza, Jole Costanza
Multi-objective optimization of genome-scale metabolic models: the case of ethanol production. 211-227 - Ramazan Ünlü
A weighted framework for unsupervised ensemble learning based on internal quality measures. 229-247 - Marco Viola
Semi-supervised generalized eigenvalues classification. 249-266 - Oleksandra Yezerska, Foad Mahdavi Pajouh, Alexander Veremyev, Sergiy Butenko:
Exact algorithms for the minimum s-club partitioning problem. 267-291 - Ruriko Yoshida, Kenji Fukumizu
Multilocus phylogenetic analysis with gene tree clustering. 293-313 - Alaleh Razmjoo
Feature importance ranking for classification in mixed online environments. 315-330 - Kuangnan Fang, Xinyan Fan, Wei Lan, Bingquan Wang:
Nonparametric additive beta regression for fractional response with application to body fat data. 331-347
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