Machine Learning for High-Throughput Stress Phenotyping in Plants von Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh Kumar, Sarkar, Soumik

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An explainable deep machine vision framework for plant stress phenotyping von Ghosal, Sambuddha, Blystone, David, Singh, Asheesh K., Ganapathysubramanian, Baskar, Singh, Arti, Sarkar, Soumik

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Plant disease identification using explainable 3D deep learning on hyperspectral images von Nagasubramanian, Koushik, Jones, Sarah, Singh, Asheesh K, Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar

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Crop yield prediction integrating genotype and weather variables using deep learning von Shook, Johnathon, Gangopadhyay, Tryambak, Wu, Linjiang, Ganapathysubramanian, Baskar, Sarkar, Soumik, Singh, Asheesh K.

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Predicting county-scale maize yields with publicly available data von Jiang, Zehui, Liu, Chao, Ganapathysubramanian, Baskar, Hayes, Dermot J., Sarkar, Soumik

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A Case Study of Deep Reinforcement Learning for Engineering Design: Application to Microfluidic Devices for Flow Sculpting von Lee, Xian Yeow, Balu, Aditya, Stoecklein, Daniel, Ganapathysubramanian, Baskar, Sarkar, Soumik

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Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network von Liu, Chao, Akintayo, Adedotun, Jiang, Zhanhong, Henze, Gregor P., Sarkar, Soumik

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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems von Nagasubramanian, Koushik, Jones, Sarah, Sarkar, Soumik, Singh, Asheesh K, Singh, Arti, Ganapathysubramanian, Baskar

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A high-fidelity residential building occupancy detection dataset von Jacoby, Margarite, Tan, Sin Yong, Henze, Gregor, Sarkar, Soumik

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Rethinking the Formation of Public Distribution System: A Class-Focused Approach von Sarkar, Soumik, Chakrabarti, Anjan

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Computer vision and machine learning enabled soybean root phenotyping pipeline von Falk, Kevin G., Jubery, Talukder Z., Mirnezami, Seyed, Parmley, Kyle A., Sarkar, Soumik, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.

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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean von Naik, Hsiang Sing, Zhang, Jiaoping, Lofquist, Alec, Assefa, Teshale, Sarkar, Soumik, Ackerman, David, Singh, Arti, Singh, Asheesh K, Ganapathysubramanian, Baskar

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Computer vision and machine learning for robust phenotyping in genome-wide studies von Zhang, Jiaoping, Naik, Hsiang Sing, Assefa, Teshale, Sarkar, Soumik, Reddy, R. V. Chowda, Singh, Arti, Ganapathysubramanian, Baskar, Singh, Asheesh K.

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Interpretable deep learning for guided microstructure-property explorations in photovoltaics von Pokuri, Balaji Sesha Sarath, Ghosal, Sambuddha, Kokate, Apurva, Sarkar, Soumik, Ganapathysubramanian, Baskar

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47 Plant Phenomics and Artificial Intelligence to Glean Information from Plant Sensing Technologies von Sarkar, Soumik

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A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting von Ghosal, Sambuddha, Zheng, Bangyou, Chapman, Scott C, Potgieter, Andries B, Jordan, David R, Wang, Xuemin, Singh, Asheesh K, Singh, Arti, Hirafuji, Masayuki, Ninomiya, Seishi, Ganapathysubramanian, Baskar, Sarkar, Soumik, Guo, Wei

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Direct observation of key photoinduced dynamics in a potential nano-delivery vehicle of cancer drugs von Sardar, Samim, Chaudhuri, Siddhi, Kar, Prasenjit, Sarkar, Soumik, Lemmens, Peter, Pal, Samir Kumar

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A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations von Liu, Qisai, Lee, Xian Yeow, Sarkar, Soumik

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LLNet: A deep autoencoder approach to natural low-light image enhancement von Lore, Kin Gwn, Akintayo, Adedotun, Sarkar, Soumik

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Deep Learning for Live Cell Shape Detection and Automated AFM Navigation von Rade, Jaydeep, Zhang, Juntao, Sarkar, Soumik, Krishnamurthy, Adarsh, Ren, Juan, Sarkar, Anwesha

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