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publications

Model Selection Via Bilevel Programming

K. P. Bennett, X. Ji, J. Hu, G. Kunapuli and J.-S. Pang. Proc. 2006 IEEE World Congress on Computational Intelligence, 2006.

Bilevel Model Selection for Support Vector Machines

G. Kunapuli, K. P. Bennett, J. Hu and J.-S. Pang. CRM Proceedings and Lecture Notes, 2008.

Classification Model Selection via Bilevel Programming

G. Kunapuli, K. P. Bennett, J. Hu and J.-S. Pang. Optimization Methods and Software, 2008.

On the Global Solution of Linear Programs with Linear Complementarity Constraints

J. Hu, J. E. Mitchell, J.-S. Pang, K. P. Bennett and G. Kunapuli. SIAM Journal on Optimization, 2008.

Bilevel Optimization and Machine Learning

K. P. Bennett, G. Kunapuli, J. Hu and J.-S. Pang. Computational Intelligence: Research Frontiers. Lecture Notes in Computer Science, 2008.

Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule

S. Natarajan, P. Tadepalli, G. Kunapuli and J. W. Shavlik. Eighth International Conference on Machine Learning and Applications (ICMLA'09), Miami Beach, FL, 2009.

ILP for Bootstrapped Learning: A Layered Approach to Automating the ILP Setup Problem

S. Natarajan, G. Kunapuli, C. O' Reilly, R. Maclin, T. Walker, D. Page and J. W. Shavlik. Nineteenth International Conference on Inductive Logic Programming (ILP'09), Leuven, Belgium, 2009.

Automating the ILP Setup Task: Converting User Advice about Specific Examples into General Background Knowledge

T. Walker, C. Reilly, G. Kunapuli, S. Natarajan, R. Maclin, D. Page and J. W. Shavlik. Twentieth International Conference on Inductive Logic Programming (ILP'10), Firenze, Italy, 2010.

Multi-Agent Inverse Reinforcement Learning

S. Natarajan, G. Kunapuli, K. Judah, P. Tadepalli, K. Kersting and J. W. Shavlik. Ninth International Conference on Machine Learning and Applications (ICMLA'10), Washington D. C, 2010.

Online Knowledge-Based Support Vector Machines

G. Kunapuli, K. P. Bennett, A. Shabbeer, R. Maclin and J. W. Shavlik. Twenty-first European Conference on Machine Learning (ECML'10), Barcelona, Spain, 2010.

The Adviceptron: Giving Advice To The Perceptron

G. Kunapuli, K. P. Bennett, R. Maclin and J. W. Shavlik. Twentieth Conference on Artificial Neural Networks In Engineering (ANNIE'10), St. Louis, MO, 2010.

Integrating Knowledge Capture and Supervised Learning Through a Human-Computer Interface

T. Walker, G. Kunapuli, N. Larsen, D. Page and J. W. Shavlik. Sixth International Conference on Knowledge Capture (KCAP'11), Banff, Canada, 2011.

Advice Refinement in Knowledge-Based Support Vector Machines

G. Kunapuli, R. Maclin and J. W. Shavlik. Twenty-Fifth Neural Information Processing Systems (NIPS'11), Granada, Spain, 2011.

Mirror Descent for Metric Learning: A Unified Approach

G. Kunapuli and J. W. Shavlik. Twenty-Third European Conference on Machine Learning (ECML'12), Bristol, United Kingdom, 2012.

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy

B. Saha, G. Kunapuli, N. Ray, J. Maldjian and S. Natarajan. Twenty-Fourth European Conference on Machine Learning (ECML'13), Prague, Czech Republic, 2013.

Guiding Autonomous Agents to Better Behaviors through Human Advice

G. Kunapuli , P. Odom, J. W. Shavlik and S. Natarajan. Thirteenth IEEE International Conference on Data Mining (IDCM'13), Dallas, TX, 2013.

A Graphical Model Approach to ATLAS-free Mining of MRI Images

C. S. Magnano, A. Soni, S. Natarajan and G. Kunapuli. 2014 SIAM International Conference on Data Mining (SDM'14), Philadelphia, PA, 2014.

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach

S. Yang, T. Khot, K. Kersting, G. Kunapuli, K. Hauser and S. Natarajan. Fourteenth IEEE International Conference on Data Mining (IDCM'14), Shenzhen, China, 2014.

Neurocognitive Correlates of Learning in a Visual Object Recognition Task

I. Juvina, P. Ganapathy, M. Sherwood, M. S. Usmani, G. Kunapuli, T. Tamminedi and N. Kashou. Ninth International Conference on Augmented Cognition, Part of HCI International (HCI'15), Los Angeles, CA, 2015.

Development of a Smart Tutor for a Visual-Aircraft Recognition Task

P. Ganapathy, I. Juvina, T. Tamminedi, G. Kunapuli, M. Sherwood and M. S. Usmani. Ninth International Conference on Augmented Cognition, Part of HCI International (HCI'15), Los Angeles, CA, 2015.

Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach

N. Kaur, G. Kunapuli, T. Khot, K. Kersting, W. W. Cohen and S. Natarajan. Twenty-Seventh International Conference on Inductive Logic Programming (ILP'17), Orleans, France, 2017.

A Decision-Support Tool for Renal Mass Classification

G. Kunapuli, B. A. Varghese, P. Ganapathy, B. Desai, S. Cen, M. Aron, I. Gill and V. Duddalwar. Journal of Digital Imaging, 2018.

On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach

S. Natarajan, S. Das, N. Ramanan, G. Kunapuli and P. Radivojac. Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden, 2018.

Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities

D. Dhami, G. Kunapuli, M. Das, D. Page and S. Natarajan. Third IEEE/ACM Conference on Connected Health: Applications, Systems, Engineering and Technologies (CHASE'18), Washington D.C., 2018.

Classification of Burn Injury using Raman Spectroscopy and Optical Coherence Tomography: An Ex-Vivo Study on Porcine Skin

L. P. Rangaraju, G. Kunapuli, D. Every, O. D. Ayala, P. Ganapathy, A. Mahadevan-Jansen. Burns, 2018.

Structure Learning for Relational Logistic Regression: An Ensemble Approach

N. Ramanan, G. Kunapuli, T. Khot, B. Fatemi, S. M. Kazemi, D. Poole, K. Kersting and S. Natarajan. International Conference on Principles of Knowledge Representation and Reasoning (KR'18), Tempe, AZ, 2018.

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

M. Das, D. S. Dhami, G. Kunapuli, K. Kersting and S. Natarajann. Thirty-third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019.

Gautam Kunapuli