RPC: An Efficient Classifier Ensemble Using Random Projections. - Lovedeep Gondara (ICMLA, 2015)

Random Forest with Random Projection to Impute Missing Gene Expression Data. - Lovedeep Gondara (ICMLA, 2015)

Medical Image Denoising Using Convolutional Denoising Autoencoders. - Lovedeep Gondara (ICDM Workshops, 2016)

Classifier comparison using precision. - Lovedeep Gondara (CoRR, 2016)

Human powered multiple imputation. - Lovedeep Gondara (CoRR, 2016)

Recovering loss to followup information using denoising autoencoders. - Lovedeep Gondara; Ke Wang 001 (IEEE BigData, 2017)

Detecting Adversarial Samples Using Density Ratio Estimates. - Lovedeep Gondara (CoRR, 2017)

Multiple Imputation Using Deep Denoising Autoencoders. - Lovedeep Gondara; Ke Wang 001 (CoRR, 2017)

MIDA: Multiple Imputation Using Denoising Autoencoders. - Lovedeep Gondara; Ke Wang 001 (PAKDD (3), 2018)

Differentially Private Survival Function Estimation. - Lovedeep Gondara; Ke Wang 001 (MLHC, 2020)

Differentially Private Top-k Selection via Stability on Unknown Domain. - Ricardo Silva Carvalho; Ke Wang 001; Lovedeep Gondara; Chunyan Miao (UAI, 2020)

Differentially Private Small Dataset Release Using Random Projections. - Lovedeep Gondara; Ke Wang 001 (UAI, 2020)

The Differentially Private Lottery Ticket Mechanism. - Lovedeep Gondara; Ke Wang 001; Ricardo Silva Carvalho (CoRR, 2020)

Training Differentially Private Neural Networks with Lottery Tickets. - Lovedeep Gondara; Ricardo Silva Carvalho; Ke Wang 001 (ESORICS (2), 2021)

Incorporating Item Frequency for Differentially Private Set Union. - Ricardo Silva Carvalho; Ke Wang 001; Lovedeep Singh Gondara (AAAI, 2022)

Differentially Private Ensemble Classifiers for Data Streams. - Lovedeep Gondara; Ke Wang 001; Ricardo Silva Carvalho (WSDM, 2022)

PubSub-ML: A Model Streaming Alternative to Federated Learning. - Lovedeep Gondara; Ke Wang 001 (Proc. Priv. Enhancing Technol., 2023)

A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting. - Lovedeep Gondara; Jonathan Simkin (CoRR, 2024)

ELM: Ensemble of Language Models for Predicting Tumor Group from Pathology Reports. - Lovedeep Gondara; Jonathan Simkin; Shebnum Devji; Gregory Arbour; Raymond Ng (CoRR, 2025)

Leveraging Language Models for Automated Patient Record Linkage. - Mohammad Beheshti; Lovedeep Gondara; Iris Zachary (CoRR, 2025)

Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare. - Lovedeep Gondara; Jonathan Simkin; Graham Sayle; Shebnum Devji; Gregory Arbour; Raymond Ng (CoRR, 2025)