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Nandini Ramanan
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Boosting for postpartum depression prediction
S Natarajan, A Prabhakar, N Ramanan, A Bagilone, K Siek, K Connelly
2017 IEEE/ACM International Conference on Connected Health: Applications …, 2017
472017
Boosted embeddings for time-series forecasting
SR Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ...
International Conference on Machine Learning, Optimization, and Data Science …, 2021
222021
Structure Learning for Relational Logistic Regression: An Ensemble Approach
N Ramanan, G Kunapuli, T Khot, B Fatemi, SM Kazemi, D Poole, ...
arXiv preprint arXiv:1808.02123, 2018
202018
Causal learning from predictive modeling for observational data
N Ramanan, S Natarajan
Frontiers in big Data 3, 535976, 2020
192020
Whom Should I Perform the Lab Test on Next? An Active Feature Elicitation Approach
S Natarajan, S Das, N Ramanan, G Kunapuli, P Radivojac
IJCAI, 2018
142018
Interactive transfer learning in relational domains
R Kumaraswamy, N Ramanan, P Odom, S Natarajan
KI-Künstliche Intelligenz 34 (2), 181-192, 2020
72020
Real-time drift detection on time-series data
N Ramanan, R Tahmasbi, M Sayer, D Jung, S Hemachandran, ...
arXiv preprint arXiv:2110.06383, 2021
42021
Few-shot induction of generalized logical concepts via human guidance
M Das, N Ramanan, JR Doppa, S Natarajan
Frontiers in Robotics and AI 7, 122, 2020
42020
Active feature elicitation: An unified framework
S Das, N Ramanan, G Kunapuli, P Radivojac, S Natarajan
Frontiers in Artificial Intelligence 6, 1029943, 2023
32023
Time Series Anomaly Detection with label-free Model Selection
D Jung, N Ramanan, M Amjadi, SR Karingula, J Taylor, CN Coelho Jr
arXiv preprint arXiv:2106.07473, 2021
32021
Discriminative non-parametric learning of arithmetic circuits
N Ramanan, M Das, K Kersting, S Natarajan
International Conference on Probabilistic Graphical Models, 353-364, 2020
32020
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures
N Ramanan, S Yang, S Grannis, S Natarajan
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
32017
Srijita Das, Nandini Ramanan, Gautam Kunapuli, and Predrag Radivojac. 2018. On whom should I perform this lab test next? An active feature elicitation approach
S Natarajan
Proceedings of the 27th International Joint Conference on Artificial …, 0
3
Temporal drift detection
N Ramanan, CJNC Junior
US Patent App. 17/581,346, 2023
22023
Active feature acquisition via human interaction in relational domains
N Ramanan, P Odom, K Kersting, S Natarajan
Proceedings of the 6th Joint International Conference on Data Science …, 2023
22023
Work-in-Progress: Ensemble Causal Learning for Modeling Post-partum Depression
N Ramanan, S Natarajan
Palo Alto, CA, 2019
22019
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias
C Thimmisetty, P Tiwari, DG de la Iglesia, N Ramanan, M Sayer, ...
arXiv preprint arXiv:2105.14149, 2021
12021
Automated machine learning-based detection of correct implementations for configuraiton settings of software-as-a-service applications
N Ramanan, IIWR Hewlett, MB Nandgaonkar, AM Phadke, S Rajkumar
US Patent App. 18/309,246, 2024
2024
Automated attribute scraping for security feature implementation prediction
N Ramanan, IIWR Hewlett, M Mradul
US Patent App. 18/177,258, 2024
2024
Machine learning architecture for detecting malicious files using stream of data
IIWR Hewlett, SR Chhetri, BJ Kutt, S Huang, N Ramanan, S Yang, M Du
US Patent App. 18/104,137, 2024
2024
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