Angular momentum guided motion concatenation. - Hubert P. H. Shum; Taku Komura; Pranjul Yadav (Comput. Animat. Virtual Worlds, 2009)

Detection of Precursors to Aviation Safety Incidents Due to Human Factors. - Igor Melnyk; Pranjul Yadav; Michael S. Steinbach; Jaideep Srivastava; Vipin Kumar 001; Arindam Banerjee 001 (ICDM Workshops, 2013)

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. - Lisiane Pruinelli; Sanjoy Dey; György J. Simon; Pranjul Yadav; Andrew Hangsleben; Katherine Hauwiller; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2014)

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. - Sanjoy Dey; Katherine Hauwiller; Pranjul Yadav; Michael S. Steinbach; György J. Simon; Vipin Kumar 001; Connie White-Delaney; Bonnie L. Westra (AMIA, 2015)

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Kevin Schiroo; Sanjoy Dey; György J. Simon; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2015)

Forensic Style Analysis with Survival Trajectories. - Pranjul Yadav; Michael S. Steinbach; Lisiane Pruinelli; Bonnie L. Westra; Connie Delaney; Vipin Kumar 001; György J. Simon (ICDM, 2015)

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Jakob Johnson; Sanjoy Dey; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra; György J. Simon (CRI, 2016)

Causal Inference in Observational Data. - Pranjul Yadav; Lisiane Pruinelli; Alexander Hoff; Michael S. Steinbach; Bonnie L. Westra; Vipin Kumar 001; György J. Simon (CoRR, 2016)

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. - Wonsuk Oh; Pranjul Yadav; Vipin Kumar 001; Pedro J. Caraballo; M. Regina Castro; Michael S. Steinbach; György J. Simon (ICHI, 2017)

Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure. - Pranjul Yadav; Unmesh Kurup; Mohak Shah (ICMLA, 2017)

Mining Electronic Health Records: A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (CoRR, 2017)

Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search. - Marcelo Tallis; Pranjul Yadav (IEEE BigData, 2018)

Mining Electronic Health Records (EHRs): A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ACM Comput. Surv., 2018)

Combining Text and Image data for Product Recommendability Modeling. - Mark Capelo; Karan Aggarwal; Pranjul Yadav (IEEE BigData, 2019)

Targeted display advertising: the case of preferential attachment. - Saurav Manchanda; Pranjul Yadav; Khoa D. Doan; S. Sathiya Keerthi (IEEE BigData, 2019)

Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. - Pranjul Yadav; Michael S. Steinbach; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; György J. Simon (IEEE BigData, 2019)

Adversarial Factorization Autoencoder for Look-alike Modeling. - Khoa D. Doan; Pranjul Yadav; Chandan K. Reddy (CIKM, 2019)

Domain adaptation in display advertising: an application for partner cold-start. - Karan Aggarwal; Pranjul Yadav; S. Sathiya Keerthi (RecSys, 2019)

Regression with Conditional GAN. - Karan Aggarwal; Matthieu Kirchmeyer; Pranjul Yadav; S. Sathiya Keerthi; Patrick Gallinari (CoRR, 2019)

Regression via Implicit Models and Optimal Transport Cost Minimization. - Saurav Manchanda; Khoa D. Doan; Pranjul Yadav; S. Sathiya Keerthi (CoRR, 2020)

Addressing Stability in Classifier Explanations. - Siavash Samiei; Nasrin Baratalipour; Pranjul Yadav; Amitabha Roy 001; Dake He (IEEE BigData, 2021)

Emerging Trends in LLM Benchmarking. - Akshar Prabhu Desai; Ritu Prajapati; Tejasvi Ravi; Mohammad Luqman; Pranjul Yadav (IEEE Big Data, 2024)

Opportunities and Challenges of Generative-AI in Finance. - Akshar Prabhu Desai; Tejasvi Ravi; Mohammad Luqman; Ganesh Satish Mallya; Nithya Kota; Pranjul Yadav (IEEE Big Data, 2024)

Gen-AI for User Safety: A Survey. - Akshar Prabhu Desai; Tejasvi Ravi; Mohammad Luqman; Mohit Sharma; Nithya Kota; Pranjul Yadav (IEEE Big Data, 2024)