Patient Similarity Through Representation Learning

Media Summary: Install NLP Libraries Register for NLP Summit 2023: Authors: Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); ... Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI

Patient Similarity Through Representation Learning - Detailed Analysis & Overview

Install NLP Libraries Register for NLP Summit 2023: Authors: Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); ... Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI 5/3/2021 Compuational Biology Symposium Speaker: Smita Krishnaswamy Title: Geometric and Topological Approaches to ... Andy T. Liu, Shu-wen Yang, Po-Han Chi, Po-chun Hsu, Hung-yi Lee, 'MOCKINGJAY: UNSUPERVISED SPEECH ... Justin Reese & Hythem Sidky: presented on Clustering of PASC

Subscribe and listen to the podcast via your favorite player Join the online ... The video shows the evaluation of our proposed approach in a real-world experiment

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Patient Similarity through Representation Learning from Medical Records

Lec 12. Representation Learning: Similarity-Based

[NeurIPS 2020 - Spotlight] Self-Supervised Relational Reasoning for Representation Learning

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI

MedAI #58: Fairness in representation learning | Natalie Dullerud

[CVPR 2026 Highlight] Similarity-as-Evidence

Geometric and Topological Approaches to Representation Learning in Biomedical Data

[ICASSP 2020] MOCKINGJAY: UNSUPERVISED SPEECH REPRESENTATION LEARNING (Speaker: Andy T. Liu)

N3CForum:04.18.22: Clustering of PASC Patients using Semantic Similarity

Powering Patient Similarity Networks with Amnon Bar-Lev

Similarity-Aware Skill Reproduction based on Multi-Representational Learning from Demonstration

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Patient Similarity through Representation Learning from Medical Records

Patient Similarity through Representation Learning from Medical Records

Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for NLP Summit 2023: https://www.nlpsummit.org/#register ...

Lec 12. Representation Learning: Similarity-Based

Lec 12. Representation Learning: Similarity-Based

MIT 6.7960

[NeurIPS 2020 - Spotlight] Self-Supervised Relational Reasoning for Representation Learning

[NeurIPS 2020 - Spotlight] Self-Supervised Relational Reasoning for Representation Learning

arXiv: https://arxiv.org/abs/2006.05849 GitHub: https://github.com/mpatacchiola/self-supervised-relational-reasoning ...

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Authors: Tian Bai (Temple University); Shanshan Zhang (Temple University); Brian Egleston (Fox Chase Cancer Center); ...

Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI

Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI

Predicting Patient Outcomes with Graph Representation Learning – W3PHIAI-21 Spotlight Talk at AAAI

MedAI #58: Fairness in representation learning | Natalie Dullerud

MedAI #58: Fairness in representation learning | Natalie Dullerud

Title: Fairness in

[CVPR 2026 Highlight] Similarity-as-Evidence

[CVPR 2026 Highlight] Similarity-as-Evidence

Similarity

Geometric and Topological Approaches to Representation Learning in Biomedical Data

Geometric and Topological Approaches to Representation Learning in Biomedical Data

5/3/2021 Compuational Biology Symposium Speaker: Smita Krishnaswamy Title: Geometric and Topological Approaches to ...

[ICASSP 2020] MOCKINGJAY: UNSUPERVISED SPEECH REPRESENTATION LEARNING (Speaker: Andy T. Liu)

[ICASSP 2020] MOCKINGJAY: UNSUPERVISED SPEECH REPRESENTATION LEARNING (Speaker: Andy T. Liu)

Andy T. Liu, Shu-wen Yang, Po-Han Chi, Po-chun Hsu, Hung-yi Lee, 'MOCKINGJAY: UNSUPERVISED SPEECH ...

N3CForum:04.18.22: Clustering of PASC Patients using Semantic Similarity

N3CForum:04.18.22: Clustering of PASC Patients using Semantic Similarity

Justin Reese & Hythem Sidky: presented on Clustering of PASC

Powering Patient Similarity Networks with Amnon Bar-Lev

Powering Patient Similarity Networks with Amnon Bar-Lev

Subscribe and listen to the podcast via your favorite player https://passionatepioneers.captivate.fm/listen Join the online ...

Similarity-Aware Skill Reproduction based on Multi-Representational Learning from Demonstration

Similarity-Aware Skill Reproduction based on Multi-Representational Learning from Demonstration

The video shows the evaluation of our proposed approach in a real-world experiment

SIRL: Similarity-based Implicit Representation Learning

SIRL: Similarity-based Implicit Representation Learning

Presented at HRI 2023.