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Efficient genomic selection using ensemble learning and ensemble feature reduction

Singh, Manish (Korean Society of Crop Science, 2020-09-01)
DANTE: Deep alternations for training neural networks

Sinha, V.B; Kudugunta, S; Sankar, A.R; Chavali, S.T; Balasubramanian, V.N (Elsevier Ltd, 2020-11)
Achieving wealth from bio-waste in a nationwide supply chain setup under uncertain environment through data driven robust optimization approach

Mitra, K.; Gumte, K.; Pantula, P. D.; Miriyala, S. S. (Elsevier Ltd, 2021-04-01)
A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming

Mitra, K.; Sharma, S.; Pantula, P. D.; Miriyala, S. S. (Elsevier B.V., 2021-01-02)
Visual big data analytics for traffic monitoring in smart city

Mohan, C.K (IEEE, 2017-01-31)
Modelling of pollutants and particulate matter in air using auto-tuned deep recurrent network

Mitra, K.; Inapakurthi, R.K.; Miriyala, S.S. (Elsevier B.V., 2020)
Applications of Machine Learning Techniques for Predicting Microstructural Evolution in Alloy Systems

Mapari, Gaurav; Bhattacharya, Saswata (IIT HYDERABAD, 2021-07)
Beyond Full Supervision: Alternate Perspectives to Learning with Limited Supervision in Deep Neural Network Models

Pal, Arghya; Balasubramanian N, Vineeth (IIT HYDERABAD, 2020-10)
Classification of targets using statistical features from range fft of mmwave fmcw radars

Bhatia, J.; Dayal, A.; Kumar, A. et. al. (MDPI AG, 2021-08)
Quantum learning of concentrated Boolean functions

M.V. Panduranga Rao (Springer, 2022)

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