Pranjul Yadav

30 papers A* 1A 2B 5C 1Misc 3Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Multi Modal and Self Learning Agents in Finance.
IEEE Big Data
Ajay Yadav, Mohammad Luqman, Akshar Prabhu Desai, Himaanshu Gauba, Pranjul Yadav
2025 B conf
Survey of Agents Methodologies in the Financial Domain.
IEEE Big Data
Mohammad Luqman, Himaanshu Gauba, Prabhat Kumar, Akshar Prabhu Desai, Ajay Yadav, Ritu Prajapati, Pranjul Yadav
2024 B conf
Emerging Trends in LLM Benchmarking.
IEEE Big Data
Akshar Prabhu Desai, Ritu Prajapati, Tejasvi Ravi, Mohammad Luqman, Pranjul Yadav
2024 B conf
Gen-AI for User Safety: A Survey.
IEEE Big Data
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Mohit Sharma, Nithya Kota, Pranjul Yadav
2024 J jnl
Gen-AI for User Safety: A Survey.
CoRR
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Mohit Sharma, Nithya Kota, Pranjul Yadav
2024 B conf
Opportunities and Challenges of Generative-AI in Finance.
IEEE Big Data
Akshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Ganesh Satish Mallya, Nithya Kota, Pranjul Yadav
2024 J jnl
Opportunities and Challenges of Generative-AI in Finance.
CoRR
Akshar Prabhu Desai, Ganesh Satish Mallya, Mohammad Luqman, Tejasvi Ravi, Nithya Kota, Pranjul Yadav
2021 — conf
Addressing Stability in Classifier Explanations.
IEEE BigData
Siavash Samiei, Nasrin Baratalipour, Pranjul Yadav, Amitabha Roy, Dake He
2020 J jnl
Regression via Implicit Models and Optimal Transport Cost Minimization.
CoRR
Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi
2020 J jnl
Targeted display advertising: the case of preferential attachment.
CoRR
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2019 A conf
Adversarial Factorization Autoencoder for Look-alike Modeling.
CIKM
Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy
2019 — conf
Combining Text and Image data for Product Recommendability Modeling.
IEEE BigData
Mark Capelo, Karan Aggarwal, Pranjul Yadav
2019 A conf
Domain adaptation in display advertising: an application for partner cold-start.
RecSys
Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi
2019 — conf
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects.
IEEE BigData
Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
2019 J jnl
Regression with Conditional GAN.
CoRR
Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari
2019 — conf
Targeted display advertising: the case of preferential attachment.
IEEE BigData
Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi
2018 J jnl
Mining Electronic Health Records (EHRs): A Survey.
ACM Comput. Surv.
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018 — conf
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search.
IEEE BigData
Marcelo Tallis, Pranjul Yadav
2018 J jnl
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search.
CoRR
Marcelo Tallis, Pranjul Yadav
2017 — conf
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks.
ICHI
Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
2017 J jnl
Mining Electronic Health Records: A Survey.
CoRR
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2017 C conf
Structured Causal Inference for Rare Events: An Industrial Application to Analyze Heating-Cooling Device Failure.
ICMLA
Pranjul Yadav, Unmesh Kurup, Mohak Shah
2016 — conf
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications.
CRI
Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon
2016 J jnl
Causal Inference in Observational Data.
CoRR
Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
2015 Misc conf
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities.
AMIA
Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2015 A* conf
Forensic Style Analysis with Survival Trajectories.
ICDM
Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
2015 Misc conf
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach.
AMIA
Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
2014 Misc conf
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities.
AMIA
Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2013 — conf
Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
ICDM Workshops
Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
2009 J jnl
Angular momentum guided motion concatenation.
Comput. Animat. Virtual Worlds
Hubert P. H. Shum, Taku Komura, Pranjul Yadav