Nandini Ramanan
Cited by
Cited by
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
Causal learning from predictive modeling for observational data
N Ramanan, S Natarajan
Frontiers in big Data 3, 535976, 2020
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
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
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
Interactive transfer learning in relational domains
R Kumaraswamy, N Ramanan, P Odom, S Natarajan
KI-Künstliche Intelligenz 34, 181-192, 2020
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
Discriminative non-parametric learning of arithmetic circuits
N Ramanan, M Das, K Kersting, S Natarajan
International Conference on Probabilistic Graphical Models, 353-364, 2020
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
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
Work-in-Progress: Ensemble Causal Learning for Modeling Post-partum Depression
N Ramanan, S Natarajan
Palo Alto, CA, 2019
Real-time drift detection on time-series data
N Ramanan, R Tahmasbi, M Sayer, D Jung, S Hemachandran, ...
arXiv preprint arXiv:2110.06383, 2021
Active feature elicitation: An unified framework
S Das, N Ramanan, G Kunapuli, P Radivojac, S Natarajan
Frontiers in Artificial Intelligence 6, 1029943, 2023
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
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning
B Kutt, P Toman, X Mignot, SR Chhetri, S Huang, N Ramanan, M Du, ...
arXiv preprint arXiv:2211.09929, 2022
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
Boosted Embeddings for Time Series Forecasting
S Rao Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ...
arXiv e-prints, arXiv: 2104.04781, 2021
Efficient and Effective Structure Learning of Graphical Models
N Ramanan
The University of Texas at Dallas, 2020
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures Download PDF
N Ramanan, S Yang, S Grannis, S Natarajan
Probabilistic Models for Cardiovascular Events
KM Sanders, RM Long, N Ramanan, S Natarajan
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