Mike Schaekermann

According to our database, Mike Schaekermann authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal

CoRR, 2024

MINT: A wrapper to make multi-modal and multi-image AI models interactive.

Jan Freyberg, Abhijit Guha Roy, Terry Spitz, Beverly Freeman, Mike Schaekermann, Patricia Strachan, Eva Schnider, Renee Wong, Dale R. Webster, Alan Karthikesalingam, Yun Liu, Krishnamurthy Dvijotham, Umesh Telang

CoRR, 2024

Towards Conversational Diagnostic AI.

Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2024

2023

Towards Accurate Differential Diagnosis with Large Language Models.

Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena

CoRR, 2023

Towards Generalist Biomedical AI.

Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David J. Fleet, Philip Andrew Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S. Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

Evaluating AI systems under uncertain ground truth: a case study in dermatology.

David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam

CoRR, 2023

Towards Expert-Level Medical Question Answering with Large Language Models.

Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan

CoRR, 2023

2022

Data excellence for AI: why should you care?

Lora Aroyo, Matthew Lease, Praveen K. Paritosh, Mike Schaekermann

Interactions, 2022

In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers.

Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease

Frontiers Artif. Intell., 2022

2021

The Challenge of Variable Effort Crowdsourcing and How Visible Gold Can Help.

Danula Hettiachchi, Mike Schaekermann, Tristan McKinney, Matthew Lease

Proc. ACM Hum. Comput. Interact., 2021

Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data.

Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz

CoRR, 2021

Investigating and Mitigating Biases in Crowdsourced Data.

Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

2020

Human-AI Interaction in the Presence of Ambiguity: From Deliberation-based Labeling to Ambiguity-aware AI.

Mike Schaekermann

PhD thesis, 2020

The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling?

Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt D. Bollacker, Chris Welty

AI Mag., 2020

Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment.

Mike Schaekermann, Carrie J. Cai, Abigail E. Huang, Rory Sayres

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Ambiguity-aware AI Assistants for Medical Data Analysis.

Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, Edith Law

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication.

Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law

Proc. ACM Hum. Comput. Interact., 2019

Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format.

Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, Edith Law

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Trusted AI and the Contribution of Trust Modeling in Multiagent Systems.

Robin Cohen, Mike Schaekermann, Sihao Liu, Michael Cormier

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work.

Mike Schaekermann, Joslin Goh, Kate Larson, Edith Law

Proc. ACM Hum. Comput. Interact., 2018

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images.

Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018

Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis.

Mike Schaekermann, Edith Law, Kate Larson, Andrew Lim

Proceedings of the 1st Workshop on Subjectivity, 2018

2017

Online Bayesian Transfer Learning for Sequential Data Modeling.

Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart

Proceedings of the 5th International Conference on Learning Representations, 2017

Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny".

Mike Schaekermann, Giovanni Ribeiro, Guenter Wallner, Simone Kriglstein, Daniel M. Johnson, Anders Drachen, Rafet Sifa, Lennart E. Nacke

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2017

Testing Incremental Difficulty Design in Platformer Games.

Rina R. Wehbe, Elisa D. Mekler, Mike Schaekermann, Edward Lank, Lennart E. Nacke

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Designing for Curiosity: An Interdisciplinary Workshop.

Edith Law, Pierre-Yves Oudeyer, Ming Yin, Mike Schaekermann, Alex C. Williams

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017