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ORCIDMachine Learning for Health Informatics 2016
- Andreas Holzinger:
Machine Learning for Health Informatics - State-of-the-Art and Future Challenges. Lecture Notes in Computer Science 9605, Springer 2016, ISBN 978-3-319-50477-3 - Andreas Holzinger
:
Machine Learning for Health Informatics. 1-24 - Olcay Taner Yildiz, Ozan Irsoy, Ethem Alpaydin:
Bagging Soft Decision Trees. 25-36 - Vincenzo Manca:
Grammars for Discrete Dynamics. 37-58 - Matic Perovsek, Matjaz Jursic, Bojan Cestnik, Nada Lavrac:
Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform. 59-98 - Joao H. Bettencourt-Silva, Gurdeep S. Mannu, Beatriz de la Iglesia:
Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice. 99-124 - Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. 125-148 - Jefferson Tales Oliva, João Luís Garcia Rosa:
Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique. 149-160 - Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo:
Survey on Feature Extraction and Applications of Biosignals. 161-182 - Luca Longo:
Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning. 183-208 - Dragana Miljkovic, Darko Aleksovski, Vid Podpecan, Nada Lavrac, Bernd Malle, Andreas Holzinger:
Machine Learning and Data Mining Methods for Managing Parkinson's Disease. 209-220 - Ernestina Menasalvas, Consuelo Gonzalo-Martín:
Challenges of Medical Text and Image Processing: Machine Learning Approaches. 221-242 - Hela Ltifi, Mounir Ben Ayed:
Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation. 243-258 - Sebastian J. Teran Hidalgo, Michael T. Lawson, Daniel J. Luckett, Monica Chaudhari, Jingxiang Chen, Arkopal Choudhury, Arianna Di Florio, Xiaotong Jiang, Crystal T. Nguyen, Michael R. Kosorok:
A Master Pipeline for Discovery and Validation of Biomarkers. 259-288 - Smaranda Belciug:
Machine Learning Solutions in Computer-Aided Medical Diagnosis. 289-302 - Satya S. Sahoo, Annan Wei, Curtis Tatsuoka, Kaushik Ghosh, Samden D. Lhatoo:
Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing. 303-318 - Chloé-Agathe Azencott:
Network-Guided Biomarker Discovery. 319-336 - Aryya Gangopadhyay, Rose Yesha, Eliot L. Siegel:
Knowledge Discovery in Clinical Data. 337-356 - Sebastian Robert, Sebastian Büttner, Carsten Röcker, Andreas Holzinger:
Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. 357-376 - Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang:
Convolutional Neural Networks Applied for Parkinson's Disease Identification. 377-390 - André Calero Valdez, Martina Ziefle, Katrien Verbert, Alexander Felfernig, Andreas Holzinger:
Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives. 391-414 - Fleur Jeanquartier, Claire Jean-Quartier, Max Kotlyar, Tomás Tokár, Anne-Christin Hauschild, Igor Jurisica, Andreas Holzinger:
Machine Learning for In Silico Modeling of Tumor Growth. 415-434 - Marcus D. Bloice, Andreas Holzinger:
A Tutorial on Machine Learning and Data Science Tools with Python. 435-480
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