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Balaji Veeramani
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2020 – today
- 2025
- [c10]Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou:
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. KDD (1) 2025: 2837-2847 - [i8]Yifan Ding, Matthew Facciani, Amrit Poudel, Ellen Joyce, Salvador Aguiñaga, Balaji Veeramani, Sanmitra Bhattacharya, Tim Weninger:
Citations and Trust in LLM Generated Responses. CoRR abs/2501.01303 (2025) - [i7]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:
The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. CoRR abs/2501.12407 (2025) - 2024
- [j6]J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng
:
Continual learning and its industrial applications: A selective review. WIREs Data. Mining. Knowl. Discov. 14(6) (2024) - [c9]Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Data Composition for Continual Learning in Application of Cyberattack Detection. ASONAM (4) 2024: 137-153 - [c8]Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. CLEF (Working Notes) 2024: 2507-2510 - [c7]Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou:
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML 2024 - [c6]Haider Ilyas, Harika Abburi, Edward Bowen, Balaji Veeramani:
Pre-train. Mixup and Fine-tune: A Simple Strategy to Handle Domain Shift. ICMLA 2024: 1101-1104 - [c5]Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Toward Robust Generative AI Text Detection: Generalizable Neural Model. ICMLA 2024: 1651-1656 - [i6]Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya:
EntGPT: Linking Generative Large Language Models with Knowledge Bases. CoRR abs/2402.06738 (2024) - 2023
- [c4]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:
Anomaly Detection via Federated Learning. ITNAC 2023: 259-266 - [c3]Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Generative AI Text Classification using Ensemble LLM Approaches. IberLEF@SEPLN 2023 - [c2]Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
An Ensemble-Based Approach for Generative Language Model Attribution. WISE 2023: 699-709 - [i5]Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Generative AI Text Classification using Ensemble LLM Approaches. CoRR abs/2309.07755 (2023) - [i4]Harika Abburi, Tanya Chaudhary, Haider Ilyas, Lakshmi Manne, Deepak Mittal, Don Williams, Derek Snaidauf, Edward Bowen, Balaji Veeramani:
A Closer Look at Bearing Fault Classification Approaches. CoRR abs/2309.17001 (2023) - [i3]Harika Abburi, Kalyani Roy, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection. CoRR abs/2311.03084 (2023) - 2022
- [i2]J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. CoRR abs/2208.09953 (2022) - [i1]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:
Anomaly Detection via Federated Learning. CoRR abs/2210.06614 (2022)
2010 – 2019
- 2018
- [j5]Balaji Veeramani, John W. Raymond, Pritam Chanda:
DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinform. 19-S(9): 85-93 (2018) - 2010
- [j4]Balaji Veeramani, Joel S. Bader
Predicting functional associations from metabolism using bi-partite network algorithms. BMC Syst. Biol. 4: 95 (2010)
2000 – 2009
- 2009
- [j3]Balaji Veeramani, Joel S. Bader
Metabolic Flux Correlations, Genetic Interactions, and Disease. J. Comput. Biol. 16(2): 291-302 (2009) - 2004
- [j2]Balaji Veeramani, K. Narayanan, Awadhesh Prasad
Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space. IEEE Signal Process. Lett. 11(7): 617-620 (2004) - 2003
- [j1]Leonidas D. Iasemidis
Adaptive epileptic seizure prediction system. IEEE Trans. Biomed. Eng. 50(5): 616-627 (2003) - [c1]Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis:
On the Use of Directed Transfer Function for Nonlinear Systems. Modelling and Simulation 2003: 270-274
Coauthor Index
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