Skyler Speakman

According to our database1, Skyler Speakman authored at least 13 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys.
CoRR, 2020

Identifying Audio Adversarial Examples via Anomalous Pattern Detection.
CoRR, 2020

Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.
CoRR, 2019

Fair Transfer Learning with Missing Protected Attributes.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Disease Surveillance: Case Study.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Subset Scanning Over Neural Network Activations.
CoRR, 2018

Three Population Covariate Shift for Mobile Phone-based Credit Scoring.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2014
Disease Surveillance, Case Study.
Encyclopedia of Social Network Analysis and Mining, 2014

2013
Fast generalized subset scan for anomalous pattern detection.
J. Mach. Learn. Res., 2013

Dynamic Pattern Detection with Temporal Consistency and Connectivity Constraints.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013


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