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Mike Domaratzki

Showing results (1-10 of 9) with videos related to

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Frontiers in Bioinformatics|October 28, 2022
Sparse bayesian learning for genomic selection in yeastMaryam Ayat, Mike Domaratzki
Frontiers in Artificial Intelligence|January 27, 2023
Crop genomic selection with deep learning and environmental data: A surveySheikh Jubair, Mike Domaratzki
Plos Computational Biology|May 20, 2026
LSTM-attention-guided graph neural networks for integrated genotype-Environment modeling in maize yield predictionAmir Morshedian, Mike Domaratzki
Peerj. Computer Science|October 20, 2022
Minimizing features while maintaining performance in data classification problemsSurani Matharaarachchi, Mike Domaratzki, Saman Muthukumarana
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2026
Regression augmentation with data-driven segmentationShayan Alahyari, Shiva Mehdipour Ghobadlou, Mike Domaratzki
JMIR Formative Research|September 7, 2022
Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media TweetsSurani Matharaarachchi, Mike Domaratzki, Alan Katz, et al.
Plos One|November 14, 2025
Obscured-ensemble models for genomic predictionRounak Saha, Amir Morshedian, Jia Sun, et al.
Microbial Genomics|December 7, 2017
Comparative analysis of the Burkholderia cenocepacia K56-2 essential genome reveals cell envelope functions that are uniquely required for survival in species of the genus BurkholderiaApril S Gislason, Keith Turner, Mike Domaratzki, et al.
Plos Computational Biology|October 7, 2024
Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancerLianghong Chen, Zi Huai Huang, Yan Sun, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Bioinformatics|October 28, 2022
Sparse bayesian learning for genomic selection in yeastMaryam Ayat, Mike Domaratzki
Frontiers in Artificial Intelligence|January 27, 2023
Crop genomic selection with deep learning and environmental data: A surveySheikh Jubair, Mike Domaratzki
Plos Computational Biology|May 20, 2026
LSTM-attention-guided graph neural networks for integrated genotype-Environment modeling in maize yield predictionAmir Morshedian, Mike Domaratzki
Peerj. Computer Science|October 20, 2022
Minimizing features while maintaining performance in data classification problemsSurani Matharaarachchi, Mike Domaratzki, Saman Muthukumarana
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2026
Regression augmentation with data-driven segmentationShayan Alahyari, Shiva Mehdipour Ghobadlou, Mike Domaratzki
JMIR Formative Research|September 7, 2022
Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media TweetsSurani Matharaarachchi, Mike Domaratzki, Alan Katz, et al.
Plos One|November 14, 2025
Obscured-ensemble models for genomic predictionRounak Saha, Amir Morshedian, Jia Sun, et al.
Microbial Genomics|December 7, 2017
Comparative analysis of the Burkholderia cenocepacia K56-2 essential genome reveals cell envelope functions that are uniquely required for survival in species of the genus BurkholderiaApril S Gislason, Keith Turner, Mike Domaratzki, et al.
Plos Computational Biology|October 7, 2024
Conditional probabilistic diffusion model driven synthetic radiogenomic applications in breast cancerLianghong Chen, Zi Huai Huang, Yan Sun, et al.
Pageof 1