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Journal Articles
- 2024
[j4]Meike Ramon
, Matthew J. Vowels, Matthew Groh:
Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. 22(3): 68-76 (2024)- 2022
- [j3]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-26 (2022) - 2021
- [j2]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine-manipulated media. Commun. ACM 64(10): 40-47 (2021) - [j1]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland:
Social Influence Leads to the Formation of Diverse Local Trends. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 409:1-409:18 (2021)
Conference and Workshop Papers
- 2024
- [c6]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Matthew Groh, Alexander A. Navarini, Marc Pouly:
Intrinsic Self-Supervision for Data Quality Audits. NeurIPS 2024 - 2023
- [c5]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. ML4H@NeurIPS 2023: 101-128 - 2022
- [c4]Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard:
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. ACII 2022: 1-8 - 2021
- [c3]Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. CVPR Workshops 2021: 1820-1828 - [c2]Robert Lewis, Yuanbo Liu, Matthew Groh, Rosalind W. Picard:
Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits. HCI (39) 2021: 348-356 - 2018
- [c1]Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
TuringBox: An Experimental Platform for the Evaluation of AI Systems. IJCAI 2018: 5826-5828
Informal and Other Publications
- 2024
- [i20]Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh:
How to Distinguish AI-Generated Images from Authentic Photographs. CoRR abs/2406.08651 (2024) - [i19]Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes:
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation. CoRR abs/2408.00024 (2024) - 2023
- [i18]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly:
SelfClean: A Self-Supervised Data Cleaning Strategy. CoRR abs/2305.17048 (2023) - [i17]Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky:
Art and the science of generative AI: A deeper dive. CoRR abs/2306.04141 (2023) - [i16]Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai:
Augmenting medical image classifiers with synthetic data from latent diffusion models. CoRR abs/2308.12453 (2023) - [i15]Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly:
Towards Reliable Dermatology Evaluation Benchmarks. CoRR abs/2309.06961 (2023) - 2022
- [i14]Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard:
Human Detection of Political Deepfakes across Transcripts, Audio, and Video. CoRR abs/2202.12883 (2022) - [i13]Matthew Groh:
Identifying the Context Shift between Test Benchmarks and Production Data. CoRR abs/2207.01059 (2022) - [i12]Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek:
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm. CoRR abs/2207.02942 (2022) - [i11]Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard:
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. CoRR abs/2208.07178 (2022) - [i10]Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes:
Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making. CoRR abs/2210.08960 (2022) - [i9]Luke W. Sagers, James A. Diao, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Arjun K. Manrai:
Improving dermatology classifiers across populations using images generated by large diffusion models. CoRR abs/2211.13352 (2022) - 2021
- [i8]Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. CoRR abs/2104.09957 (2021) - [i7]Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard:
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR abs/2105.06496 (2021) - [i6]Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland:
Social influence leads to the formation of diverse local trends. CoRR abs/2108.07437 (2021) - 2020
- [i5]Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh:
Interpolating GANs to Scaffold Autotelic Creativity. CoRR abs/2007.11119 (2020) - 2019
- [i4]Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Towards a new social laboratory: An experimental study of search through community participation at Burning Man. CoRR abs/1903.04125 (2019) - [i3]Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Human detection of machine manipulated media. CoRR abs/1907.05276 (2019) - 2018
- [i2]Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Closing the AI Knowledge Gap. CoRR abs/1803.07233 (2018) - [i1]Shayne O'Brien, Matthew Groh, Abhimanyu Dubey:
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR abs/1812.10782 (2018)
Coauthor Index
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