Lovedeep Gondara

28 papers A 3C 2Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adapting Natural Language Processing Models Across Jurisdictions: A pilot Study in Canadian Cancer Registries.
CoRR
Jonathan Simkin, Lovedeep Gondara, Zeeshan Rizvi, Gregory Doyle, Jeff Dowden, Dan Bond, Desmond Martin, Raymond Ng
2025 J jnl
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI.
CoRR
Balagopal Unnikrishnan, Ariel Guerra-Adames, Amin Adibi, Sameer Peesapati, Rafal Kocielnik, Shira Fischer, Hillary Clinton Kasimbazi, Rodrigo R. Gameiro, Alina Peluso, Chrystinne Oliveira Fernandes, Maximin Lange, Lovedeep Gondara, Leo Anthony Celi
2025 J jnl
Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry.
CoRR
Lovedeep Gondara, Gregory Arbour, Raymond Ng, Jonathan Simkin, Shebnum Devji
2025 J jnl
ELM: Ensemble of Language Models for Predicting Tumor Group from Pathology Reports.
CoRR
Lovedeep Gondara, Jonathan Simkin, Shebnum Devji, Gregory Arbour, Raymond Ng
2025 J jnl
Leveraging Language Models for Automated Patient Record Linkage.
CoRR
Mohammad Beheshti, Lovedeep Gondara, Iris Zachary
2025 J jnl
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare.
CoRR
Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng
2025 J jnl
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare.
Mach. Learn. Knowl. Extr.
Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng
2024 J jnl
A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting.
CoRR
Lovedeep Gondara, Jonathan Simkin
2023 J jnl
PubSub-ML: A Model Streaming Alternative to Federated Learning.
Proc. Priv. Enhancing Technol.
Lovedeep Gondara, Ke Wang
2022 A conf
Differentially Private Ensemble Classifiers for Data Streams.
WSDM
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2021 J jnl
Differentially Private Ensemble Classifiers for Data Streams.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2021 — conf
Training Differentially Private Neural Networks with Lottery Tickets.
ESORICS (2)
Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang
2020 A conf
Differentially Private Small Dataset Release Using Random Projections.
UAI
Lovedeep Gondara, Ke Wang
2020 — conf
Differentially Private Survival Function Estimation.
MLHC
Lovedeep Gondara, Ke Wang
2020 A conf
Differentially Private Top-k Selection via Stability on Unknown Domain.
UAI
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
2020 J jnl
The Differentially Private Lottery Ticket Mechanism.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2019 J jnl
Differentially Private Survival Function Estimation.
CoRR
Lovedeep Gondara, Ke Wang
2018 — conf
MIDA: Multiple Imputation Using Denoising Autoencoders.
PAKDD (3)
Lovedeep Gondara, Ke Wang
2018 J jnl
Recovering Loss to Followup Information Using Denoising Autoencoders.
CoRR
Lovedeep Gondara, Ke Wang
2017 J jnl
Detecting Adversarial Samples Using Density Ratio Estimates.
CoRR
Lovedeep Gondara
2017 J jnl
Multiple Imputation Using Deep Denoising Autoencoders.
CoRR
Lovedeep Gondara, Ke Wang
2017 — conf
Recovering loss to followup information using denoising autoencoders.
IEEE BigData
Lovedeep Gondara, Ke Wang
2016 J jnl
Classifier comparison using precision.
CoRR
Lovedeep Gondara
2016 J jnl
Human powered multiple imputation.
CoRR
Lovedeep Gondara
2016 — conf
Medical Image Denoising Using Convolutional Denoising Autoencoders.
ICDM Workshops
Lovedeep Gondara
2016 J jnl
Medical image denoising using convolutional denoising autoencoders.
CoRR
Lovedeep Gondara
2015 C conf
RPC: An Efficient Classifier Ensemble Using Random Projections.
ICMLA
Lovedeep Gondara
2015 C conf
Random Forest with Random Projection to Impute Missing Gene Expression Data.
ICMLA
Lovedeep Gondara