On the Use of Directed Transfer Function for Nonlinear Systems. - Balaji Veeramani; K. Narayanan; Awadhesh Prasad; Andreas Spanias; Leonidas D. Iasemidis (Modelling and Simulation, 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)

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)

Metabolic Flux Correlations, Genetic Interactions, and Disease. - Balaji Veeramani; Joel S. Bader (J. Comput. Biol., 2009)

Predicting functional associations from metabolism using bi-partite network algorithms. - Balaji Veeramani; Joel S. Bader (BMC Syst. Biol., 2010)

DeepSort: deep convolutional networks for sorting haploid maize seeds. - Balaji Veeramani; John W. Raymond; Pritam Chanda (BMC Bioinform., 2018)

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)

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; et al. (CoRR, 2022)

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 (ITNAC, 2023)

Generative AI Text Classification using Ensemble LLM Approaches. - Harika Abburi; Michael Suesserman; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (IberLEF@SEPLN, 2023)

An Ensemble-Based Approach for Generative Language Model Attribution. - Harika Abburi; Michael Suesserman; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (WISE, 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)

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)

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 (ASONAM (4), 2024)

Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. - Harika Abburi; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (CLEF (Working Notes), 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 003 (ICML, 2024)

Toward Robust Generative AI Text Detection: Generalizable Neural Model. - Harika Abburi; Nirmala Pudota; Balaji Veeramani; Edward Bowen; Sanmitra Bhattacharya (ICMLA, 2024)

Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. - Haider Ilyas; Harika Abburi; Edward Bowen; Balaji Veeramani (ICMLA, 2024)

EntGPT: Linking Generative Large Language Models with Knowledge Bases. - Yifan Ding; Amrit Poudel; Qingkai Zeng 001; Tim Weninger; Balaji Veeramani; Sanmitra Bhattacharya (CoRR, 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)

Citations and Trust in LLM Generated Responses. - Yifan Ding; Matthew Facciani; Ellen Joyce; Amrit Poudel; Sanmitra Bhattacharya; Balaji Veeramani; Sal Aguiñaga; Tim Weninger (AAAI, 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 003 (KDD (1), 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; et al. (CoRR, 2025)