ICLR 2023 Workshop MLGH Submissions

A Framework for Grassroots Research Collaboration in Machine Learning and Global Health
Christopher Brian Currin, Mercy Nyamewaa Asiedu, Chris Fourie, Benjamin Rosman, Houcemeddine Turki, Atnafu Lambebo Tonja, Jade Abbott, Marvellous Ajala, Sadiq Adewale ADEDAYO, Chris Chinenye Emezue, Daphne Machangara
- Published: 02 Mar 2023, Last Modified: 24 Apr 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
Immunity score calibration based on vaccination rebalancing
Ferdous Nasri, Simon Cyrani, Lukas Wenner, Bernhard Y Renard
- Published: 02 Mar 2023, Last Modified: 25 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Oluwasanmi O Koyejo, Katherine A Heller
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Breast Cancer Risk Prediction using Statistical Modeling and Predictive Machine Learning Analytics Modeling
Anonymous
- 20 Feb 2023 (modified: 02 Mar 2023)
- Submitted to 2023 ICLR - MLGH
- Readers: Everyone
DeepEpiSolver: Unravelling Inverse Problems in Covid, HIV, Ebola and Disease Transmission
Ritam Majumdar, Shirish Karande, Lovekesh Vig
- Published: 02 Mar 2023, Last Modified: 27 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Phylo2Vec: A vector representation of binary trees
Matthew J Penn, Neil Scheidwasser, Mark Khurana, Christl Ann Donnelly, Samir Bhatt
- Published: 02 Mar 2023, Last Modified: 25 Apr 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
Multi-View Independent Component Analysis for Omics Data Integration
Teodora Pandeva, Patrick Forré
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
Understanding health effects of particulate matter sources by using stochastic machine learning models
Georges Bucyibaruta, Monica Pirani, Marta Blangiardo, Gary Fuller, David Green, Anja Tremper, Christina Mitsakou
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Federated Learning Aggregation via a Reinforcement Learning Policy
Bear Häon, Adam Dunn, Jinman Kim, Chenyu Wang, Dongang Wang
- Published: 02 Mar 2023, Last Modified: 07 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Predicting COVID-19 case status from self-reported symptoms and behaviors using data from a massive online survey
Mashrin Srivastava, Alex Reinhart, Robin Mejia
- Published: 02 Mar 2023, Last Modified: 23 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Adaptive Interventions for Global Health: A Case Study of Malaria
Africa Perianez Santiago, Andrew Trister, Madhav Nekkar, Ana Fernandez del Rio, Pedro Alonso
- Published: 02 Mar 2023, Last Modified: 26 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality and Heart Attack in the ICU
Munib Mesinovic, Tingting Zhu
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Kshitiz, Garvit Garg, Angshuman Paul
- Published: 02 Mar 2023, Last Modified: 21 Apr 2024
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Synthetic Data Generator for Adaptive Interventions in Global Health
Aditya Rastogi, Juan Francisco Garamendi, Ana Fernandez del Rio, Anna Guitart Atienza, Moiz Hassan Khan, Dexian Tang, Africa Perianez Santiago
- Published: 02 Mar 2023, Last Modified: 21 Apr 2024
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Mitigating Disease Spread by Design in Refugee and IDP Camps
Giulia Zarpellon, Joseph Aylett-Bullock, Frank Krauss, Miguel Luengo-Oroz
- Published: 02 Mar 2023, Last Modified: 29 Apr 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
STAGCN: Spatial-Temporal Attention Based Graph Convolutional Networks for COVID-19 Forecasting
Nevasini Sasikumar, Krishna Sri Ipsit Mantri
- Published: 02 Mar 2023, Last Modified: 25 Apr 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism
Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu
- Published: 02 Mar 2023, Last Modified: 21 Apr 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Self-supervised Learning to Predict Ejection Fraction using Motion-mode Images
Yurong Hu, Thomas M. Sutter, Ece Ozkan, Julia E Vogt
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Mode Connections For Clinical Incremental Learning:Lessons From The COVID-19 Pandemic
Anshul Thakur, Chenyang Wang, Taha Ceritli, David Eyre, David A. Clifton
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Oral
- Readers: Everyone
Subnational analysis of the initial phase of the COVID-19 epidemic in Brazil
T A Mellan, Henrique Hoeltgebaum, Swapnil Mishra, Charles Whittaker, Iwona Hawryluk, Axel Gandy, H Juliette T Unwin, Michaela A C Vollmer, Helen Coupland, Nuno Rodrigues Faria, Juan Vesga, Neil M Ferguson, Ricardo P Schnekenberg, Christl A Donelly, Harrison Zhu, Michael John Hutchinson, Oliver Ratmann, Melodie Monod, Seth Flaxman, Samir Bhatt
- Published: 02 Mar 2023, Last Modified: 02 Mar 2023
- 2023 ICLR - MLGH Poster
- Readers: Everyone
Pretrained Vision Models for Predicting High-Risk Breast Cancer Stage
Bonaventure F. P. Dossou, Yeno Gbenou, Miglanche Ghomsi
- Published: 02 Mar 2023, Last Modified: 21 Apr 2024
- 2023 ICLR - MLGH Poster
- Readers: Everyone