Matthew Groh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Histogram Of Oriented Gradients

Human Detection

Creative Problem Solving

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Meike Ramon, Matthew J. Vowels, Matthew Groh
Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. 22 (3) (2024)
Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
How to Distinguish AI-Generated Images from Authentic Photographs. CoRR (2024)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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) (2022)
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 (2022)
Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. ACII (2022)
Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. CoRR (2022)
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 (2022)
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) (2022)
Matthew Groh, Aruna Sankaranarayanan, Rosalind W. Picard
Human Detection of Political Deepfakes across Transcripts, Audio, and Video. CoRR (2022)
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 (2022)
Matthew Groh
Identifying the Context Shift between Test Benchmarks and Production Data. CoRR (2022)
Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR (2021)
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 (2021)
Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex 'Sandy' Pentland
Social influence leads to the formation of diverse local trends. CoRR (2021)
Robert Lewis, Yuanbo Liu, Matthew Groh, Rosalind W. Picard
Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits. HCI (39) (2021)
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) (2021)
Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Human detection of machine-manipulated media. Commun. ACM 64 (10) (2021)
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)
Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh
Interpolating GANs to Scaffold Autotelic Creativity. CoRR (2020)
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 (2019)
Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan
Human detection of machine manipulated media. CoRR (2019)
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 (2018)
Shayne O'Brien, Matthew Groh, Abhimanyu Dubey
Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions. CoRR (2018)
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)