Skyler Speakman

According to our database, Skyler Speakman authored at least 30 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Detecting Systematic Deviations in Data and Models.

Skyler Speakman, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan

Computer, February, 2023

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.

Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou

npj Digit. Medicine, 2023

Efficient Representation of the Activation Space in Deep Neural Networks.

Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III

CoRR, 2023

Weakly Supervised Detection of Hallucinations in LLM Activations.

Miriam Rateike, Celia Cintas, John Wamburu, Tanya Akumu, Skyler Speakman

CoRR, 2023

Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks.

Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Pattern detection in the activation space for identifying synthesized content.

Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam

Pattern Recognit. Lett., 2022

Sparsity-based Feature Selection for Anomalous Subgroup Discovery.

Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman

CoRR, 2022

Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning.

Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning.

Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Systematic Discovery of Bias in Data.

John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman

Proceedings of the IEEE International Conference on Big Data, 2022

Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data.

Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman

Proceedings of the IEEE International Conference on Big Data, 2022

Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention.

Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman

Proceedings of the AMIA 2022, 2022

2021

Towards creativity characterization of generative models via group-based subset scanning.

Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen

CoRR, 2021

Racial Representation Analysis in Dermatology Academic Materials.

Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Automatic Stratification of Tabular Health Data.

Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys.

Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam

CoRR, 2020

Identifying Audio Adversarial Examples via Anomalous Pattern Detection.

Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan

CoRR, 2020

Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health.

William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.

Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data.

Samuel C. Maina, Reginald E. Bryant, William O. Ogallo, Kush R. Varshney, Skyler Speakman, Celia Cintas, Aisha Walcott-Bryant, Robert-Florian Samoilescu, Komminist Weldemariam

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.

William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton

Proceedings of the AMIA 2020, 2020

2019

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.

Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam

CoRR, 2019

Fair Transfer Learning with Missing Protected Attributes.

Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Disease Surveillance: Case Study.

Skyler Speakman, Sriram Somanchi, Edward McFowland III, Daniel B. Neill

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Subset Scanning Over Neural Network Activations.

Skyler Speakman, Srihari Sridharan, Sekou L. Remy, Komminist Weldemariam, Edward McFowland

CoRR, 2018

Three Population Covariate Shift for Mobile Phone-based Credit Scoring.

Skyler Speakman, Srihari Sridharan, Isaac M. Markus

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2014

Disease Surveillance, Case Study.

Skyler Speakman, Sriram Somanchi, Edward McFowland, Daniel B. Neill

Encyclopedia of Social Network Analysis and Mining, 2014

Fast Constrained Subset Scanning for Pattern Detection.

Skyler Speakman

PhD thesis, 2014

2013

Fast generalized subset scan for anomalous pattern detection.

Edward McFowland, Skyler Speakman, Daniel B. Neill

J. Mach. Learn. Res., 2013

Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints.

Skyler Speakman, Yating Zhang, Daniel B. Neill

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013