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2020 – today
- 2024
[c9]Brody Kutt, Pralay Ramteke, Xavier Mignot, Pamela Toman, Nandini Ramanan, Sujit Rokka Chhetri, Shan Huang, Min Du, William Hewlett:
Contrastive Credibility Propagation for Reliable Semi-supervised Learning. AAAI 2024: 21294-21303- 2023
- [j5]Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan:
Active feature elicitation: An unified framework. Frontiers Artif. Intell. 6 (2023) - [c8]Nandini Ramanan
, Phillip Odom, Kristian Kersting, Sriraam Natarajan:
Active Feature Acquisition via Human Interaction in Relational domains. COMAD/CODS 2023: 70-78 - 2022
- [c7]Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan:
Relational Active Feature Elicitation for DDDAS. DDDAS 2022: 227-232 - [i7]Brody Kutt, Pamela Toman, Xavier Mignot, Sujit Rokka Chhetri, Shan Huang, Nandini Ramanan, Min Du, William Hewlett:
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning. CoRR abs/2211.09929 (2022) - 2021
- [j4]Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan:
Structure learning for relational logistic regression: an ensemble approach. Data Min. Knowl. Discov. 35(5): 2089-2111 (2021) - [c6]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:
Boosted Embeddings for Time-Series Forecasting. LOD 2021: 1-14 - [i6]Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahsambi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Claudionor José Nunes Coelho Jr.:
Boosted Embeddings for Time Series Forecasting. CoRR abs/2104.04781 (2021) - [i5]Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor José Nunes Coelho Jr.:
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias. CoRR abs/2105.14149 (2021) - [i4]Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi, Sankeerth Rao Karingula, Jake Taylor, Claudionor José Nunes Coelho Jr.:
Time Series Anomaly Detection with label-free Model Selection. CoRR abs/2106.07473 (2021) - [i3]Nandini Ramanan, Rasool Tahmasbi, Marjorie Sayer, Deokwoo Jung, Shalini Hemachandran, Claudionor José Nunes Coelho Jr.:
Real-time Drift Detection on Time-series Data. CoRR abs/2110.06383 (2021) - 2020
- [j3]Nandini Ramanan, Sriraam Natarajan:
Causal Learning From Predictive Modeling for Observational Data. Frontiers Big Data 3: 535976 (2020) - [j2]Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan:
Few-Shot Induction of Generalized Logical Concepts via Human Guidance. Frontiers Robotics AI 7: 122 (2020) - [j1]Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan:
Interactive Transfer Learning in Relational Domains. Künstliche Intell. 34(2): 181-192 (2020) - [c5]Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan:
Discriminative Non-Parametric Learning of Arithmetic Circuits. PGM 2020: 353-364
2010 – 2019
- 2019
- [i2]Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan:
One-Shot Induction of Generalized Logical Concepts via Human Guidance. CoRR abs/1912.07060 (2019) - 2018
- [c4]Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac:
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. IJCAI 2018: 3498-3505 - [c3]Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan:
Structure Learning for Relational Logistic Regression: An Ensemble Approach. KR 2018: 661-662 - [i1]Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan:
Structure Learning for Relational Logistic Regression: An Ensemble Approach. CoRR abs/1808.02123 (2018) - 2017
- [c2]Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan:
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. BIBM 2017: 870-873 - [c1]Sriraam Natarajan, Annu Prabhakar, Nandini Ramanan, Anna N. Baglione, Katie A. Siek, Kay Connelly:
Boosting for Postpartum Depression Prediction. CHASE 2017: 232-240
Coauthor Index
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