Balaji Veeramani

According to our database, Balaji Veeramani authored at least 25 papers between 2003 and 2025.

Collaborative distances:

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

2025

Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures.

Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou

CoRR, November, 2025

The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution.

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

CoRR, January, 2025

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.

Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Instruction-tuned Quantized Small Language Models (SLMs): A Study on Hallucination Detection.

Elijah Soba, Harika Abburi, Nirmala Pudota, Jain Aayush, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Joint 1st International Workshop on Disinformation and Misinformation in the Age of Generative AI (DISMISS-FAKE 2025) and the 4th International Workshop on Investigating Learning during Web Search (IWILDS 2025) co-located with 18th International ACM WSDM Conference on Web Search and Data Mining (WSDM 2025), 2025

Citations and Trust in LLM Generated Responses.

Yifan Ding, Matthew Facciani, Ellen Joyce, Amrit Poudel, Sanmitra Bhattacharya, Balaji Veeramani, Sal Aguiñaga, Tim Weninger

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Continual learning and its industrial applications: A selective review.

J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng

WIREs Data. Mining. Knowl. Discov., 2024

EntGPT: Linking Generative Large Language Models with Knowledge Bases.

Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya

CoRR, 2024

Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift.

Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani

Proceedings of the International Conference on Machine Learning and Applications, 2024

Toward Robust Generative AI Text Detection: Generalizable Neural Model.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the International Conference on Machine Learning and Applications, 2024

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.

Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection.

Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Data Composition for Continual Learning in Application of Cyberattack Detection.

Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023

A Simple yet Efficient Ensemble Approach for AI-generated Text Detection.

Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

CoRR, 2023

A Closer Look at Bearing Fault Classification Approaches.

Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani

CoRR, 2023

An Ensemble-Based Approach for Generative Language Model Attribution.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Generative AI Text Classification using Ensemble LLM Approaches.

Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Anomaly Detection via Federated Learning.

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

Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023

2022

Anomaly Detection via Federated Learning.

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

CoRR, 2022

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.

J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng

CoRR, 2022

2018

DeepSort: deep convolutional networks for sorting haploid maize seeds.

Balaji Veeramani, John W. Raymond, Pritam Chanda

BMC Bioinform., 2018

2010

Predicting functional associations from metabolism using bi-partite network algorithms.

Balaji Veeramani, Joel S. Bader

BMC Syst. Biol., 2010

2009

Metabolic Flux Correlations, Genetic Interactions, and Disease.

Balaji Veeramani, Joel S. Bader

J. Comput. Biol., 2009

2004

Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space.

Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Leonidas D. Iasemidis, Andreas S. Spanias, Kostas Tsakalis

IEEE Signal Process. Lett., 2004

2003

Adaptive epileptic seizure prediction system.

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

IEEE Trans. Biomed. Eng., 2003

On the Use of Directed Transfer Function for Nonlinear Systems.

Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis

Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003