Nandini Ramanan

21 papers A* 3B 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
Contrastive Credibility Propagation for Reliable Semi-supervised Learning.
AAAI
Brody Kutt, Pralay Ramteke, Xavier Mignot, Pamela Toman, Nandini Ramanan, Sujit Rokka Chhetri, Shan Huang, Min Du, William Hewlett
2023 — conf
Active Feature Acquisition via Human Interaction in Relational domains.
COMAD/CODS
Nandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan
2023 J jnl
Active feature elicitation: An unified framework.
Frontiers Artif. Intell.
Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac, Sriraam Natarajan
2022 J jnl
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning.
CoRR
Brody Kutt, Pamela Toman, Xavier Mignot, Sujit Rokka Chhetri, Shan Huang, Nandini Ramanan, Min Du, William Hewlett
2022 — conf
Relational Active Feature Elicitation for DDDAS.
DDDAS
Nandini Ramanan, Phillip Odom, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2021 J jnl
Boosted Embeddings for Time Series Forecasting.
CoRR
Sankeerth Rao Karingula, Nandini Ramanan, Rasool Tahsambi, Mehrnaz Amjadi, Deokwoo Jung, Ricky Si, Charanraj Thimmisetty, Claudionor José Nunes Coelho Jr.
2021 — conf
Boosted Embeddings for Time-Series Forecasting.
LOD
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
2021 J jnl
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias.
CoRR
Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor José Nunes Coelho Jr.
2021 J jnl
Real-time Drift Detection on Time-series Data.
CoRR
Nandini Ramanan, Rasool Tahmasbi, Marjorie Sayer, Deokwoo Jung, Shalini Hemachandran, Claudionor José Nunes Coelho Jr.
2021 J jnl
Structure learning for relational logistic regression: an ensemble approach.
Data Min. Knowl. Discov.
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2021 J jnl
Time Series Anomaly Detection with label-free Model Selection.
CoRR
Deokwoo Jung, Nandini Ramanan, Mehrnaz Amjadi, Sankeerth Rao Karingula, Jake Taylor, Claudionor José Nunes Coelho Jr.
2020 J jnl
Causal Learning From Predictive Modeling for Observational Data.
Frontiers Big Data
Nandini Ramanan, Sriraam Natarajan
2020 — conf
Discriminative Non-Parametric Learning of Arithmetic Circuits.
PGM
Nandini Ramanan, Mayukh Das, Kristian Kersting, Sriraam Natarajan
2020 J jnl
Few-Shot Induction of Generalized Logical Concepts via Human Guidance.
Frontiers Robotics AI
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
2020 J jnl
Interactive Transfer Learning in Relational Domains.
Künstliche Intell.
Raksha Kumaraswamy, Nandini Ramanan, Phillip Odom, Sriraam Natarajan
2019 J jnl
One-Shot Induction of Generalized Logical Concepts via Human Guidance.
CoRR
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
2018 A* conf
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach.
IJCAI
Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
2018 A* conf
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
KR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2018 J jnl
Structure Learning for Relational Logistic Regression: An Ensemble Approach.
CoRR
Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan
2017 B conf
Boosting for Postpartum Depression Prediction.
CHASE
Sriraam Natarajan, Annu Prabhakar, Nandini Ramanan, Anna N. Baglione, Katie A. Siek, Kay Connelly
2017 — conf
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures.
BIBM
Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan