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ORCIDSkyler Speakman
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2020 – today
- 2024
[c16]Óscar Lara Yejas, Aakanksha Joshi, Andrew Martinez, Leah Nelson, Skyler Speakman, Krysten Thompson, Yuki Nishimura, Jordan Bond, Kush R. Varshney:
Racial and Neighborhood Disparities in Legal Financial Obligations in Jefferson County, Alabama. AIES (1) 2024: 818-827- 2023
- [j4]Skyler Speakman
, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan:
Detecting Systematic Deviations in Data and Models. Computer 56(2): 82-92 (2023) - [j3]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:
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023) - [c15]Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman:
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. IJCAI 2023: 965-973 - [i12]Miriam Rateike, Celia Cintas, John Wamburu, Tanya Akumu, Skyler Speakman:
Weakly Supervised Detection of Hallucinations in LLM Activations. CoRR abs/2312.02798 (2023) - [i11]Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III:
Efficient Representation of the Activation Space in Deep Neural Networks. CoRR abs/2312.08143 (2023) - 2022
- [j2]Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam:
Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. 153: 207-213 (2022) - [c14]Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman:
Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention. AMIA 2022 - [c13]John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman:
Systematic Discovery of Bias in Data. IEEE Big Data 2022: 4719-4725 - [c12]Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman:
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. IEEE Big Data 2022: 6039-6047 - [c11]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI 2022: 4929-4935 - [c10]Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney:
Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. ISBI 2022: 1-4 - [i10]Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman:
Sparsity-based Feature Selection for Anomalous Subgroup Discovery. CoRR abs/2201.02008 (2022) - [i9]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR abs/2203.00523 (2022) - [i8]Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman:
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. CoRR abs/2203.04386 (2022) - 2021
- [c9]Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill:
Automatic Stratification of Tabular Health Data. AMIA 2021 - [c8]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:
Racial Representation Analysis in Dermatology Academic Materials. AMIA 2021 - [i7]Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen:
Towards creativity characterization of generative models via group-based subset scanning. CoRR abs/2104.00479 (2021) - [i6]Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney:
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. CoRR abs/2105.11160 (2021) - [i5]Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam:
Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR abs/2105.12479 (2021) - 2020
- [c7]William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott, Charity Wayua, Komminist Weldemariam, Claire-Helene Mershon, Nosa Orobaton:
Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning. AMIA 2020 - [c6]Samuel C. Maina, Reginald E. Bryant, William O. Ogallo, Kush R. Varshney, Skyler Speakman, Celia Cintas, Aisha Walcott-Bryant, Robert-Florian Samoilescu, Komminist Weldemariam:
Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data. ICASSP 2020: 3627-3631 - [c5]Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland:
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error. IJCAI 2020: 876-882 - [c4]William Ogallo, Skyler Speakman, Victor Akinwande, Kush R. Varshney, Aisha Walcott-Bryant, Charity Wayua, Komminist Weldemariam:
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health. IJCAI 2020: 5282-5284 - [i4]Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan:
Identifying Audio Adversarial Examples via Anomalous Pattern Detection. CoRR abs/2002.05463 (2020) - [i3]Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam:
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys. CoRR abs/2011.12707 (2020)
2010 – 2019
- 2019
- [c3]Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty:
Fair Transfer Learning with Missing Protected Attributes. AIES 2019: 91-98 - [i2]Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam:
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models. CoRR abs/1908.01224 (2019) - 2018
- [c2]Skyler Speakman, Srihari Sridharan, Isaac M. Markus:
Three Population Covariate Shift for Mobile Phone-based Credit Scoring. COMPASS 2018: 20:1-20:7 - [r2]Skyler Speakman, Sriram Somanchi, Edward McFowland III, Daniel B. Neill:
Disease Surveillance: Case Study. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i1]Skyler Speakman, Srihari Sridharan, Sekou L. Remy, Komminist Weldemariam, Edward McFowland:
Subset Scanning Over Neural Network Activations. CoRR abs/1810.08676 (2018) - 2014
- [b1]Skyler Speakman:
Fast Constrained Subset Scanning for Pattern Detection. Carnegie Mellon University, USA, 2014 - [r1]Skyler Speakman, Sriram Somanchi, Edward McFowland, Daniel B. Neill:
Disease Surveillance, Case Study. Encyclopedia of Social Network Analysis and Mining 2014: 380-385 - 2013
- [j1]Edward McFowland, Skyler Speakman, Daniel B. Neill:
Fast generalized subset scan for anomalous pattern detection. J. Mach. Learn. Res. 14(1): 1533-1561 (2013) - [c1]Skyler Speakman, Yating Zhang, Daniel B. Neill:
Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints. ICDM 2013: 697-706
Coauthor Index
aka: Girmaw Abebe Tadesse
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