Search Results - "Nair, Pratheeksha"

Inferring multimodal latent topics from electronic health records by Li, Yue, Nair, Pratheeksha, Lu, Xing Han, Wen, Zhi, Wang, Yuening, Dehaghi, Amir Ardalan Kalantari, Miao, Yan, Liu, Weiqi, Ordog, Tamas, Biernacka, Joanna M., Ryu, Euijung, Olson, Janet E., Frye, Mark A., Liu, Aihua, Guo, Liming, Marelli, Ariane, Ahuja, Yuri, Davila-Velderrain, Jose, Kellis, Manolis

“…Electronic health records (EHR) are rich heterogeneous collections of patient health information, whose broad adoption provides clinicians and researchers…”
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Mining heterogeneous clinical notes by multi-modal latent topic model by Wen, Zhi, Nair, Pratheeksha, Deng, Chih-Ying, Lu, Xing Han, Moseley, Edward, George, Naomi, Lindvall, Charlotta, Li, Yue

“…Latent knowledge can be extracted from the electronic notes that are recorded during patient encounters with the health system. Using these clinical notes to…”
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PCR-based evaluation of human papillomavirus genotypes in oral lichen planus by Vijayan, Aswathy, Muthukrishnan, Arvind, Nair, Aparna, Fathima, Shabna, Nair, Pratheeksha, Roshan, John

“…Objective: The objective of the study was to use polymerase chain reaction (PCR) to examine and compare the genotype distribution of human papillomavirus (HPV)…”
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TRAFFICVIS: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking by Vajiac, Catalina, Chau, Duen Horng, Olligschlaeger, Andreas, Mackenzie, Rebecca, Nair, Pratheeksha, Lee, Meng-Chieh, Li, Yifei, Park, Namyong, Rabbany, Reihaneh, Faloutsos, Christos

“…Law enforcement and domain experts can detect human trafficking (HT) in online escort websites by analyzing suspicious clusters of connected ads. How can we…”
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A Scalable Clustering Algorithm for Serendipity in Recommender Systems by Deshmukh, Anup Anand, Nair, Pratheeksha, Rao, Shrisha

“…High sparsity and the problem of overspecialization are challenges faced by collaborative filtering (CF) algorithms in recommender systems. In this paper, we…”
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Epistemic Integrity in Large Language Models by Ghafouri, Bijean, Mohammadzadeh, Shahrad, Zhou, James, Nair, Pratheeksha, Tian, Jacob-Junqi, Goel, Mayank, Rabbany, Reihaneh, Godbout, Jean-François, Pelrine, Kellin

“…Large language models are increasingly relied upon as sources of information, but their propensity for generating false or misleading statements with high…”
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Group Equivariant Deep Reinforcement Learning by Mondal, Arnab Kumar, Nair, Pratheeksha, Siddiqi, Kaleem

“…In Reinforcement Learning (RL), Convolutional Neural Networks(CNNs) have been successfully applied as function approximators in Deep Q-Learning algorithms,…”
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