Mike Schaekermann bio photo

Mike Schaekermann

Computer Science, Ph.D.
Engineering, B.Sc.
Medicine, State Exam I

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Publications

Overview


Conference Papers

  1. Ambiguity-aware AI Assistants for Medical Data Analysis
    Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI. 2020.
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    @inproceedings{schaekermann_ambiguity_aware_ai_2020,
      address = {Honolulu, HI, USA},
      author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith},
      booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI},
      doi = {10.1145/3313831.3376506},
      isbn = {978-1-4503-6708-0/20/04},
      publisher = {ACM Press},
      title = {{Ambiguity-aware AI Assistants for Medical Data Analysis}},
      url = {http://dl.acm.org/citation.cfm?doid=3313831.3376506},
      year = {2020}
    }
    

  2. Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment
    Schaekermann, Mike and Cai, Carrie J and Huang, Abigail E and Sayres, Rory. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI. 2020.
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    @inproceedings{schaekermann_adjudication_based_training_2020,
      address = {Honolulu, HI, USA},
      author = {Schaekermann, Mike and Cai, Carrie J and Huang, Abigail E and Sayres, Rory},
      booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI},
      doi = {10.1145/3313831.3376290},
      isbn = {978-1-4503-6708-0/20/04},
      publisher = {ACM Press},
      title = {{Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment}},
      url = {http://dl.acm.org/citation.cfm?doid=3313831.3376290},
      year = {2020}
    }
    

  3. Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication
    Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith. In Proceedings of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW. 2019.
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    @inproceedings{schaekermann_eeg_adjudication_2019,
      address = {Austin, TX},
      author = {Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith},
      booktitle = {Proceedings of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW},
      doi = {10.1145/3359178},
      month = nov,
      number = {CSCW},
      pages = {1--23},
      title = {{Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication}},
      url = {http://dl.acm.org/citation.cfm?doid=3290265.3274423},
      volume = {3},
      year = {2019}
    }
    

  4. Trusted AI and the Contribution of Trust Modeling in Multiagent Systems
    Cohen, Robin and Schaekermann, Mike and Liu, Sihao and Cormier, Michael. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems - AAMAS. 2019.
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    @inproceedings{cohen_trusted_ai_2019,
      address = {Richland, SC},
      author = {Cohen, Robin and Schaekermann, Mike and Liu, Sihao and Cormier, Michael},
      booktitle = {Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems - AAMAS},
      isbn = {978-1-4503-6309-9},
      pages = {1644--1648},
      publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
      series = {AAMAS '19},
      title = {{Trusted AI and the Contribution of Trust Modeling in Multiagent Systems}},
      url = {http://dl.acm.org/citation.cfm?id=3306127.3331890},
      year = {2019}
    }
    

  5. Resolvable vs. Irresolvable Disagreement: A Case Study on Worker Deliberation in Crowd Work
    Schaekermann, Mike and Goh, Joslin and Larson, Kate and Law, Edith. In Proceedings of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW. 2018.
    [ Best Paper Award ]
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    @inproceedings{schaekermann_crowd_deliberation_2018,
      address = {New York City, NY},
      author = {Schaekermann, Mike and Goh, Joslin and Larson, Kate and Law, Edith},
      booktitle = {Proceedings of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW},
      doi = {10.1145/3274423},
      month = nov,
      number = {CSCW},
      pages = {1--19},
      title = {{Resolvable vs. Irresolvable Disagreement: A Case Study on Worker Deliberation in Crowd Work}},
      url = {http://dl.acm.org/citation.cfm?doid=3290265.3274423},
      volume = {2},
      year = {2018},
      note = {Best Paper Award}
    }
    

  6. Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"
    Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY. 2017.
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    @inproceedings{schaekermann_curiosity_2017,
      address = {New York, New York, USA},
      author = {Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E},
      booktitle = {Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY},
      doi = {10.1145/3116595.3116603},
      isbn = {9781450348980},
      pages = {143--156},
      publisher = {ACM Press},
      title = {{Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"}},
      url = {http://dl.acm.org/citation.cfm?doid=3116595.3116603},
      year = {2017}
    }
    

  7. Online Bayesian Transfer Learning for Sequential Data Modeling
    Jaini, Priyank and Chen, Zhitang and Carbajal, Pablo and Law, Edith and Middleton, Laura and Regan, Kayla and Schaekermann, Mike and Trimponias, George and Tung, James and Poupart, Pascal. In Proceedings of the 5th International Conference on Learning Representations - ICLR. 2017.
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    @inproceedings{jaini_transfer_2017,
      archiveprefix = {arXiv},
      arxivid = {arXiv:1412.3121v1},
      author = {Jaini, Priyank and Chen, Zhitang and Carbajal, Pablo and Law, Edith and Middleton, Laura and Regan, Kayla and Schaekermann, Mike and Trimponias, George and Tung, James and Poupart, Pascal},
      booktitle = {Proceedings of the 5th International Conference on Learning Representations - ICLR},
      eprint = {arXiv:1412.3121v1},
      title = {{Online Bayesian Transfer Learning for Sequential Data Modeling}},
      year = {2017}
    }
    

  8. Testing Incremental Difficulty Design in Platformer Games
    Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E. In Proceedings of the 2017 ACM Conference on Human Factors in Computing Systems - CHI. 2017.
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    @inproceedings{wehbe_difficulty_2017,
      address = {New York, New York, USA},
      author = {Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E},
      booktitle = {Proceedings of the 2017 ACM Conference on Human Factors in Computing Systems - CHI},
      doi = {10.1145/3025453.3025697},
      isbn = {9781450346559},
      pages = {5109--5113},
      publisher = {ACM Press},
      title = {{Testing Incremental Difficulty Design in Platformer Games}},
      url = {http://dl.acm.org/citation.cfm?doid=3025453.3025697},
      year = {2017}
    }
    


Journal Papers

  1. Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders
    Limwattanayingyong, Jirawut and Nganthavee, Variya and Seresirikachorn, Kasem and Singalavanija, Tassapol and Soonthornworasiri, Ngamphol and Ruamviboonsuk, Varis and Rao, Chetan and Raman, Rajiv and Grzybowski, Andrzej and Schaekermann, Mike and Peng, Lily H. and Webster, Dale R. and Semturs, Christopher and Krause, Jonathan and Sayres, Rory and Hersch, Fred and Tiwari, Richa and Liu, Yun and Ruamviboonsuk, Paisan. In Journal of Diabetes Research. 2020.
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    @article{limwattanayingyong_dr_longitudinal_2020,
      author = {Limwattanayingyong, Jirawut and Nganthavee, Variya and Seresirikachorn, Kasem and Singalavanija, Tassapol and Soonthornworasiri, Ngamphol and Ruamviboonsuk, Varis and Rao, Chetan and Raman, Rajiv and Grzybowski, Andrzej and Schaekermann, Mike and Peng, Lily H. and Webster, Dale R. and Semturs, Christopher and Krause, Jonathan and Sayres, Rory and Hersch, Fred and Tiwari, Richa and Liu, Yun and Ruamviboonsuk, Paisan},
      doi = {10.1155/2020/8839376},
      editor = {Reverter, Jordi Lluis},
      issn = {2314-6753},
      journal = {Journal of Diabetes Research},
      month = dec,
      pages = {1--8},
      title = {{Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders}},
      url = {https://www.hindawi.com/journals/jdr/2020/8839376/},
      volume = {2020},
      year = {2020}
    }
    

  2. Tablet‐based electroencephalography diagnostics for patients with epilepsy in the West African Republic of Guinea
    Sokolov, E. and Abdoul Bachir, D. H. and Sakadi, F. and Williams, J. and Vogel, A. C. and Schaekermann, Mike and Tassiou, N. and Bah, A. K. and Khatri, V. and Hotan, G. C. and Ayub, N. and Leung, E. and Fantaneanu, T. A. and Patel, A. and Vyas, M. and Milligan, T. and Villamar, M. F. and Hoch, D. and Purves, S. and Esmaeili, B. and Stanley, M. and Lehn‐Schioler, T. and Tellez‐Zenteno, J. and Gonzalez‐Giraldo, E. and Tolokh, I. and Heidarian, L. and Worden, L. and Jadeja, N. and Fridinger, S. and Lee, L. and Law, E. and Fodé Abass, C. and Mateen, F. J.. In European Journal of Neurology. 2020.
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    @article{sokolov_tablet_eeg_guinea_2020,
      author = {Sokolov, E. and {Abdoul Bachir}, D. H. and Sakadi, F. and Williams, J. and Vogel, A. C. and Schaekermann, Mike and Tassiou, N. and Bah, A. K. and Khatri, V. and Hotan, G. C. and Ayub, N. and Leung, E. and Fantaneanu, T. A. and Patel, A. and Vyas, M. and Milligan, T. and Villamar, M. F. and Hoch, D. and Purves, S. and Esmaeili, B. and Stanley, M. and Lehn‐Schioler, T. and Tellez‐Zenteno, J. and Gonzalez‐Giraldo, E. and Tolokh, I. and Heidarian, L. and Worden, L. and Jadeja, N. and Fridinger, S. and Lee, L. and Law, E. and {Fod{\'{e}} Abass}, C. and Mateen, F. J.},
      doi = {10.1111/ene.14291},
      issn = {1351-5101},
      journal = {European Journal of Neurology},
      month = aug,
      number = {8},
      pages = {1570--1577},
      title = {{Tablet‐based electroencephalography diagnostics for patients with epilepsy in the West African Republic of Guinea}},
      url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/ene.14291},
      volume = {27},
      year = {2020}
    }
    

  3. Remote Tool-Based Adjudication for Grading Diabetic Retinopathy
    Schaekermann, Mike and Hammel, Naama and Terry, Michael and Ali, Tayyeba K. and Liu, Yun and Basham, Brian and Campana, Bilson and Chen, William and Ji, Xiang and Krause, Jonathan and Corrado, Greg S. and Peng, Lily and Webster, Dale R. and Law, Edith and Sayres, Rory. In Translational Vision Science & Technology. 2019.
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    @article{schaekermann_dr_adjudication_paper_2019,
      author = {Schaekermann, Mike and Hammel, Naama and Terry, Michael and Ali, Tayyeba K. and Liu, Yun and Basham, Brian and Campana, Bilson and Chen, William and Ji, Xiang and Krause, Jonathan and Corrado, Greg S. and Peng, Lily and Webster, Dale R. and Law, Edith and Sayres, Rory},
      doi = {10.1167/tvst.8.6.40},
      issn = {2164-2591},
      journal = {Translational Vision Science {\&} Technology},
      month = dec,
      number = {6},
      pages = {40},
      title = {{Remote Tool-Based Adjudication for Grading Diabetic Retinopathy}},
      url = {https://tvst.arvojournals.org/article.aspx?articleid=2757836},
      volume = {8},
      year = {2019}
    }
    

  4. Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications
    Williams, Jennifer A and Cisse, Fodé Abass and Schaekermann, Mike and Sakadi, Foksouna and Tassiou, Nana Rahamatou and Hotan, Gladia C. and Bah, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C.W. and Fantaneanu, Tadeu A. and Milligan, Tracey A. and Khatri, Vidita and Hoch, Daniel B. and Vyas, Manav V. and Lam, Alice D. and Cohen, Joseph M. and Vogel, Andre C. and Law, Edith and Mateen, Farrah J. In Seizure. 2019.
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    @article{williams_eeg_guinea_paper_2019,
      author = {Williams, Jennifer A and Cisse, Fod{\'{e}} Abass and Schaekermann, Mike and Sakadi, Foksouna and Tassiou, Nana Rahamatou and Hotan, Gladia C. and Bah, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C.W. and Fantaneanu, Tadeu A. and Milligan, Tracey A. and Khatri, Vidita and Hoch, Daniel B. and Vyas, Manav V. and Lam, Alice D. and Cohen, Joseph M. and Vogel, Andre C. and Law, Edith and Mateen, Farrah J},
      doi = {10.1016/j.seizure.2019.05.025},
      issn = {10591311},
      journal = {Seizure},
      month = oct,
      pages = {93--99},
      title = {{Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications}},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S1059131119302067},
      volume = {71},
      year = {2019}
    }
    

  5. Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
    Phene, Sonia and Dunn, R. Carter and Hammel, Naama and Liu, Yun and Krause, Jonathan and Kitade, Naho and Schaekermann, Mike and Sayres, Rory and Wu, Derek J. and Bora, Ashish and Semturs, Christopher and Misra, Anita and Huang, Abigail E. and Spitze, Arielle and Medeiros, Felipe A. and Maa, April Y. and Gandhi, Monica and Corrado, Greg S. and Peng, Lily and Webster, Dale R. In Ophthalmology. 2019.
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    @article{phene_glaucoma_2019,
      author = {Phene, Sonia and Dunn, R. Carter and Hammel, Naama and Liu, Yun and Krause, Jonathan and Kitade, Naho and Schaekermann, Mike and Sayres, Rory and Wu, Derek J. and Bora, Ashish and Semturs, Christopher and Misra, Anita and Huang, Abigail E. and Spitze, Arielle and Medeiros, Felipe A. and Maa, April Y. and Gandhi, Monica and Corrado, Greg S. and Peng, Lily and Webster, Dale R},
      doi = {10.1016/j.ophtha.2019.07.024},
      issn = {01616420},
      journal = {Ophthalmology},
      month = sep,
      title = {{Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs}},
      url = {https://linkinghub.elsevier.com/retrieve/pii/S0161642019318755},
      year = {2019}
    }
    


Workshop Papers

  1. crowdEEG: A Platform for Structured Consensus Formation in Medical Time Series Analysis
    Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith. In 8th Workshop on Interactive Systems in Healthcare (WISH) at CHI. 2019.
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    @inproceedings{schaekermann_adjudication_design_study_2019,
      address = {Glasgow, UK},
      author = {Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith},
      booktitle = {8th Workshop on Interactive Systems in Healthcare (WISH) at CHI},
      title = {{crowdEEG: A Platform for Structured Consensus Formation in Medical Time Series Analysis}},
      year = {2019}
    }
    

  2. Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format
    Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith. In Companion Proceedings of The 2019 World Wide Web Conference - WWW. 2019.
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    @inproceedings{schaekermann_capturing_expert_arguments_2019,
      address = {New York, New York, USA},
      author = {Schaekermann, Mike and Beaton, Graeme and Habib, Minahz and Lim, Andrew and Larson, Kate and Law, Edith},
      booktitle = {Companion Proceedings of The 2019 World Wide Web Conference - WWW},
      doi = {10.1145/3308560.3317085},
      isbn = {9781450366755},
      pages = {1131--1137},
      publisher = {ACM Press},
      title = {{Capturing Expert Arguments from Medical Adjudication Discussions in a Machine-readable Format}},
      url = {http://dl.acm.org/citation.cfm?doid=3308560.3317085},
      volume = {2},
      year = {2019}
    }
    

  3. Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis
    Schaekermann, Mike and Law, Edith and Larson, Kate and Lim, Andrew. In 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing at HCOMP. 2018.
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    @inproceedings{schaekermann_sequential_labeling_disagreement_2018,
      address = {Zurich, Switzerland},
      author = {Schaekermann, Mike and Law, Edith and Larson, Kate and Lim, Andrew},
      booktitle = {1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing at HCOMP},
      title = {{Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis}},
      year = {2018}
    }
    

  4. Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth
    Schaekermann, Mike and Law, Edith and Williams, Alex C and Callaghan, William. In 1st Workshop on Human-Centered Machine Learning at CHI. 2016.
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    @inproceedings{schaekermann_ambiguity_2016,
      address = {San Jose, CA},
      author = {Schaekermann, Mike and Law, Edith and Williams, Alex C and Callaghan, William},
      booktitle = {1st Workshop on Human-Centered Machine Learning at CHI},
      title = {{Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth}},
      year = {2016}
    }
    

  5. The Big Picture: Preserving Context in the Decomposition of Complex Expert Tasks
    Williams, Alex C and Bradshaw, Josh and Schaekermann, Mike and Tse, Timmy and Callaghan, William and Law, Edith. In 1st Workshop on Microproductivity at CHI. 2016.
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    @inproceedings{williams_context_2016,
      address = {San Jose, CA},
      author = {Williams, Alex C and Bradshaw, Josh and Schaekermann, Mike and Tse, Timmy and Callaghan, William and Law, Edith},
      booktitle = {1st Workshop on Microproductivity at CHI},
      title = {{The Big Picture: Preserving Context in the Decomposition of Complex Expert Tasks}},
      year = {2016}
    }
    


Conference Abstracts & Posters

  1. Utilizing a wearable smartphone-based EEG for pediatric epilepsy patients in the resource poor environment of Guinea: A prospective study
    Williams, Jennifer and Cisse, Fodé Abass and Schaekermann, Mike and Sakadi, Foksuna and Tassiou, Nana Rahamatou and BAH, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C W and Fantaneau, Tadeu A and Milligan, Tracey and Khatri, Vidita and Hoch, Daniel and Vyas, Manav and Lam, Alice and Hotan, Gladia and Cohen, Joseph and Law, Edith and Mateen, Farrah. In Neurology. 2019.
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    @inproceedings{williams_eeg_guinea_abstract_2019,
      author = {Williams, Jennifer and Cisse, Fod{\'{e}} Abass and Schaekermann, Mike and Sakadi, Foksuna and Tassiou, Nana Rahamatou and BAH, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C W and Fantaneau, Tadeu A and Milligan, Tracey and Khatri, Vidita and Hoch, Daniel and Vyas, Manav and Lam, Alice and Hotan, Gladia and Cohen, Joseph and Law, Edith and Mateen, Farrah},
      issn = {0028-3878},
      journal = {Neurology},
      number = {15 Supplement},
      publisher = {Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology},
      title = {{Utilizing a wearable smartphone-based EEG for pediatric epilepsy patients in the resource poor environment of Guinea: A prospective study}},
      url = {https://n.neurology.org/content/92/15{\_}Supplement/N5.001},
      volume = {92},
      year = {2019}
    }
    

  2. A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment
    Hammel, Naama and Schaekermann, Mike and Phene, Sonia and Dunn, Carter and Peng, Lily and Webster, Dale R and Sayres, Rory. In Investigative Ophthalmology & Visual Science - IOVS. 2019.
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    @article{hammel_glaucoma_adjudication_abstract_2019,
      author = {Hammel, Naama and Schaekermann, Mike and Phene, Sonia and Dunn, Carter and Peng, Lily and Webster, Dale R and Sayres, Rory},
      journal = {Investigative Ophthalmology {\&} Visual Science - IOVS},
      number = {9},
      pages = {164},
      publisher = {The Association for Research in Vision and Ophthalmology},
      title = {{A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment}},
      volume = {60},
      year = {2019}
    }
    

  3. Asynchronous Remote Adjudication for Grading Diabetic Retinopathy
    Schaekermann, Mike and Hammel, Naama and Basham, Brian and Campana, Bilson and Law, Edith and Peng, Lily and Webster, Dale R and Sayres, Rory. In Investigative Ophthalmology & Visual Science - IOVS. 2019.
    Copy Bibtex
    @article{schaekermann_dr_adjudication_abstract_2019,
      author = {Schaekermann, Mike and Hammel, Naama and Basham, Brian and Campana, Bilson and Law, Edith and Peng, Lily and Webster, Dale R and Sayres, Rory},
      journal = {Investigative Ophthalmology {\&} Visual Science - IOVS},
      number = {9},
      pages = {158},
      publisher = {The Association for Research in Vision and Ophthalmology},
      title = {{Asynchronous Remote Adjudication for Grading Diabetic Retinopathy}},
      volume = {60},
      year = {2019}
    }
    


Theses

  1. Human-AI Interaction in the Presence of Ambiguity: From Deliberation-based Labeling to Ambiguity-aware AI
    Schaekermann, Mike. 2020.
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    @phdthesis{schaekermann_phdthesis_2020,
      author = {Schaekermann, Mike},
      school = {University of Waterloo},
      title = {{Human-AI Interaction in the Presence of Ambiguity: From Deliberation-based Labeling to Ambiguity-aware AI}},
      type = {Ph.D. Thesis},
      year = {2020}
    }
    

  2. Implementation of a Collaborative Web Application for Annotating Gameplay Videos Based on Biometric Player Data
    Schaekermann, Mike. 2014.
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    @phdthesis{schaekermann_bachelorsthesis_2014,
      author = {Schaekermann, Mike},
      school = {Salzburg University of Applied Sciences},
      title = {{Implementation of a Collaborative Web Application for Annotating Gameplay Videos Based on Biometric Player Data}},
      type = {Bachelor's Thesis},
      year = {2014}
    }