Balaji Veeramani

26 papers A* 2B 1C 3Misc 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Citations and Trust in LLM Generated Responses.
AAAI
Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger
2025 J jnl
Citations and Trust in LLM Generated Responses.
CoRR
Yifan Ding, Matthew Facciani, Amrit Poudel, Ellen Joyce, Salvador Aguiñaga, Balaji Veeramani, Sanmitra Bhattacharya, Tim Weninger
2025 J jnl
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures.
CoRR
Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou
2025 — conf
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.
KDD (1)
Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025 J jnl
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution.
CoRR
Frank Sifei Luan, Ziming Mao, Ron Yifeng Wang, Charlotte Lin, Amog Kamsetty, Hao Chen, Cheng Su, Balaji Veeramani, Scott Lee, SangBin Cho, Clark Zinzow, Eric Liang, Ion Stoica, Stephanie Wang
2024 J jnl
Continual learning and its industrial applications: A selective review.
WIREs Data. Mining. Knowl. Discov.
J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024 — conf
Data Composition for Continual Learning in Application of Cyberattack Detection.
ASONAM (4)
Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024 J jnl
EntGPT: Linking Generative Large Language Models with Knowledge Bases.
CoRR
Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya
2024 A* conf
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.
ICML
Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024 C conf
Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift.
ICMLA
Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani
2024 — conf
Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection.
CLEF (Working Notes)
Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2024 C conf
Toward Robust Generative AI Text Detection: Generalizable Neural Model.
ICMLA
Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023 J jnl
A Closer Look at Bearing Fault Classification Approaches.
CoRR
Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani
2023 J jnl
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection.
CoRR
Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023 B conf
An Ensemble-Based Approach for Generative Language Model Attribution.
WISE
Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023 Misc conf
Anomaly Detection via Federated Learning.
ITNAC
Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen
2023 — conf
Generative AI Text Classification using Ensemble LLM Approaches.
IberLEF@SEPLN
Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2023 J jnl
Generative AI Text Classification using Ensemble LLM Approaches.
CoRR
Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
2022 J jnl
Anomaly Detection via Federated Learning.
CoRR
Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani
2022 J jnl
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.
CoRR
J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2018 J jnl
DeepSort: deep convolutional networks for sorting haploid maize seeds.
BMC Bioinform.
Balaji Veeramani, John W. Raymond, Pritam Chanda
2010 J jnl
Predicting functional associations from metabolism using bi-partite network algorithms.
BMC Syst. Biol.
Balaji Veeramani, Joel S. Bader
2009 J jnl
Metabolic Flux Correlations, Genetic Interactions, and Disease.
J. Comput. Biol.
Balaji Veeramani, Joel S. Bader
2004 J jnl
Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space.
IEEE Signal Process. Lett.
Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Leonidas D. Iasemidis, Andreas S. Spanias, Kostas Tsakalis
2003 J jnl
Adaptive epileptic seizure prediction system.
IEEE Trans. Biomed. Eng.
Leonidas D. Iasemidis, Deng-Shan Shiau, Wanpracha Art Chaovalitwongse, J. Chris Sackellares, Panos M. Pardalos, José C. Príncipe, Paul R. Carney, Awadhesh Prasad, Balaji Veeramani, Kostas Tsakalis
2003 C conf
On the Use of Directed Transfer Function for Nonlinear Systems.
Modelling and Simulation
Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis