Nandini Ramanan

According to our database, Nandini Ramanan authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive Credibility Propagation for Reliable Semi-supervised Learning.

Brody Kutt, Pralay Ramteke, Xavier Mignot, Pamela Toman, Nandini Ramanan, Sujit Rokka Chhetri, Shan Huang, Min Du, William Hewlett

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Active feature elicitation: An unified framework.

Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan

Frontiers Artif. Intell., February, 2023

Active Feature Acquisition via Human Interaction in Relational domains.

Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Contrastive Credibility Propagation for Reliable Semi-Supervised Learning.

Brody Kutt, Pamela Toman, Xavier Mignot, Sujit Rokka Chhetri, Shan Huang, Nandini Ramanan, Min Du, William Hewlett

CoRR, 2022

Relational Active Feature Elicitation for DDDAS.

Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021

Structure learning for relational logistic regression: an ensemble approach.

Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan

Data Min. Knowl. Discov., 2021

Real-time Drift Detection on Time-series Data.

Nandini Ramanan, Rasool Tahmasbi, Marjorie Sayer, Deokwoo Jung, Shalini Hemachandran, Claudionor José Nunes Coelho Jr.

CoRR, 2021

Time Series Anomaly Detection with label-free Model Selection.

Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi, Sankeerth Rao Karingula, Jake Taylor, Claudionor José Nunes Coelho Jr.

CoRR, 2021

Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias.

Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor José Nunes Coelho Jr.

CoRR, 2021

Boosted Embeddings for Time Series Forecasting.

Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahsambi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Claudionor José Nunes Coelho Jr.

CoRR, 2021

Boosted Embeddings for Time-Series Forecasting.

Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahmasbi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Luisa F. Polanía, Marjorie Sayer, Jake Taylor, Claudionor Nunes Coelho

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Interactive Transfer Learning in Relational Domains.

Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan

Künstliche Intell., 2020

Few-Shot Induction of Generalized Logical Concepts via Human Guidance.

Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan

Frontiers Robotics AI, 2020

Causal Learning From Predictive Modeling for Observational Data.

Nandini Ramanan, Sriraam Natarajan

Frontiers Big Data, 2020

Discriminative Non-Parametric Learning of Arithmetic Circuits.

Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

One-Shot Induction of Generalized Logical Concepts via Human Guidance.

Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan

CoRR, 2019

2018

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.

Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Boosting for Postpartum Depression Prediction.

Sriraam Natarajan, Annu Prabhakar, Nandini Ramanan, Anna N. Baglione, Katie A. Siek, Kay Connelly

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures.

Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017