Padma Kaul - RankMe

14 papers Misc 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Predicting COVID-19 Outcomes Among Albertans With Diabetes and COVID-19: A Machine Learning Approach. Adv. Artif. Intell. Mach. Learn. Dean Eurich, Darren Lau, Weiting Li, Olivia R. Weaver, Tanya Joon, Ming Ye, Finlay A. McAlister, Padma Kaul, Salim Samanani
2024	J	`jnl`	Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. npj Digit. Medicine Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul
2024	—	`conf`	Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. ICMHI Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
2024	J	`jnl`	Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. CoRR Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
2023	J	`jnl`	Exploring Best Practices for ECG Signal Processing in Machine Learning. CoRR Amir Salimi, Sunil Vasu Kalmady, Abram Hindle, Osmar Zaïane, Padma Kaul
2023	—	`conf`	Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. SIPAIM Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner
2023	—	`conf`	Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. ML4H@NeurIPS Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner
2023	J	`jnl`	Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. npj Digit. Medicine Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
2022	J	`jnl`	ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets. CoRR Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
2022	J	`jnl`	Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. CoRR Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul
2021	—	`conf`	Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding. SPACA Sunil Vasu Kalmady, Weijie Sun, Justin A. Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul
2021	Misc	`conf`	Multilabel 12-Lead Electrocardiogram Classification Using Beat to Sequence Autoencoders. ICASSP Alexander William Wong, Amir Salimi, Abram Hindle, Sunil Vasu Kalmady, Padma Kaul
2020	—	`conf`	Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CinC Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
2020	J	`jnl`	Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CoRR Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle