Epistasis : methods and protocols

Veröffentlicht 2015

Computational methods for genetics of complex traits

Veröffentlicht 2010

Computational methods for genetics of complex traits

Veröffentlicht 2010

Epistasis : methods and protocols

Veröffentlicht 2015

SGP-DT: Semantic Genetic Programming Based on Dynamic Targets

von Ruberto, Stefano
Veröffentlicht in EuroGP (23. : 2020 : Online) Genetic programming (2020)

Benchmarking Manifold Learning Methods on a Large Collection of Datasets

von Orzechowski, Patryk
Veröffentlicht in EuroGP (23. : 2020 : Online) Genetic programming (2020)

Integrative bioinformatics for biomedical big data : a no-boundary thinking approach

Veröffentlicht 2023

Image Feature Learning with Genetic Programming.

von Ruberto, Stefano
Veröffentlicht in PPSN (16. : 2020 : Leiden; Online) Parallel problem solving from nature - PPSN XVI ; Part 2 (2020)

IMPROVING QSAR MODELING FOR PREDICTIVE TOXICOLOGY USING PUBLICLY AGGREGATED SEMANTIC GRAPH DATA AND GRAPH NEURAL NETWORKS

von Romano, Joseph D.
Veröffentlicht in Pacific Symposium on Biocomputing (27. : 2022 : Online) Pacific Symposium on Biocomputing 2022 (2022)

Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic

von Penrod, Nadia M.
Veröffentlicht in International Conference on Health Informatics (13. : 2020 : Valletta) BIOSTEC 2020 ; Volume 5: HEALTHINF (2020)

Evolutionary computation, machine learning and data mining in bioinformatics : 6th european conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008 ; proceedings

Veröffentlicht 2008

MAPPING PATIENT TRAJECTORIES USING LONGITUDINAL EXTRACTION AND DEEP LEARNING IN THE MIMIC-IH CRITICAL CARE DATABASE

von Beaulieu-Jones, Brett K.
Veröffentlicht in Pacific Symposium on Biocomputing (23. : 2018 : Kohala, Hawaii) Pacific Symposium on Biocomputing 2018 (2021)

A HEURISTIC METHOD FOR SIMULATING OPEN-DATA OF ARBITRARY COMPLEXITY THAT CAN BE USED TO COMPARE AND EVALUATE MACHINE LEARNING METHODS

von Moore, Jason H.
Veröffentlicht in Pacific Symposium on Biocomputing (23. : 2018 : Kohala, Hawaii) Pacific Symposium on Biocomputing 2018 (2021)

INTERPRETATION OF MACHINE LEARNING PREDICTIONS FOR PATIENT OUTCOMES IN ELECTRONIC HEALTH RECORDS

von Cava, William La
Veröffentlicht in AMIA Annual Symposium (2019 : Washington, DC) American Medical Informatics Association Annual Symposium (AMIA 2019) ; Volume 1 of 3 (2020)

Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions

von Li, Ruowang
Veröffentlicht in International Conference on Bioinformatics Models, Methods and Algorithms (11. : 2020 : Valletta) BIOSTEC 2020 ; Volume 3: BIOINFORMATICS (2020)

Evolutionary computation, machine learning and data mining in bioinformatics : 5th European conference, EvoBIO 2007, Valencia, Spain, April 11 - 13, 2007 ; proceedings

Veröffentlicht 2007

Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions

von Le, Trang T.
Veröffentlicht in International Conference on Bioinformatics Models, Methods and Algorithms (11. : 2020 : Valletta) BIOSTEC 2020 ; Volume 3: BIOINFORMATICS (2020)

EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI): CURRENT APPROACHES AND PATHS TO THE FUTURE

von Holmes, John H.
Veröffentlicht in American Medical Informatics Association (2020 : Online) American Medical Informatics Association Annual Symposium (AMIA 2020) ; Volume 1 of 3 (2021)

DATA-DRIVEN ADVICE FOR APPLYING MACHINE LEARNING TO BIOINFORMATICS PROBLEMS

von Olson, Randal S.
Veröffentlicht in Pacific Symposium on Biocomputing (23. : 2018 : Kohala, Hawaii) Pacific Symposium on Biocomputing 2018 (2021)

Socio-cognitive Evolution Strategies

von Urbańczyk, Aleksandra
Veröffentlicht in ICCS (21. : 2021 : Online) Computational science - ICCS 2021 ; Part 2 (2021)