Aurora C. Schmidt

Orcid: 0000-0001-9027-8484

Affiliations:
  • Johns Hopkins University, Applied Physics Laboratory, Laure, MD, USA
  • Carnegie Mellon University


According to our database1, Aurora C. Schmidt authored at least 24 papers between 2009 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Towards Trustworthy Distributed AI Demand Response.
Proceedings of the International Conference on Assured Autonomy, 2024

2023
Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds.
Comput. Math. Organ. Theory, March, 2023

MACAIF: Machine Learning Auditing for Clinical AI Fairness.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

A Safety Fallback Controller for Improved Collision Avoidance.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

2022
Envelopes and waves: safe multivehicle collision avoidance for horizontal non-deterministic turns.
Int. J. Softw. Tools Technol. Transf., 2022

2021
Formal Verification of Neural Network Controllers for Collision-Free Flight.
Proceedings of the Software Verification - 13th International Conference, 2021

Good Fences Make Good Neighbors - Using Formally Verified Safe Trajectories to Design a Predictive Geofence Algorithm.
Proceedings of the NASA Formal Methods - 13th International Symposium, 2021

2020
Incorrect by Construction: Fine Tuning Neural Networks for Guaranteed Performance on Finite Sets of Examples.
CoRR, 2020

A Twitter Social Contagion Monitor.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2018
Using Spectral Clustering of Hashtag Adoptions to Find Interest-Based Communities.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
A formally verified hybrid system for safe advisories in the next-generation airborne collision avoidance system.
Int. J. Softw. Tools Technol. Transf., 2017

Combining Deep Universal Features, Semantic Attributes, and Hierarchical Classification for Zero-Shot Learning.
CoRR, 2017

Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Formally Verified Safe Vertical Maneuvers for Non-deterministic, Accelerating Aircraft Dynamics.
Proceedings of the Interactive Theorem Proving - 8th International Conference, 2017

2016
Complex contagions and the diffusion of popular Twitter hashtags in Nigeria.
Soc. Netw. Anal. Min., 2016

Investigating the Observability of Complex Contagion in Empirical Social Networks.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015
A Formally Verified Hybrid System for the Next-Generation Airborne Collision Avoidance System.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2015

Zero Shot Deep Learning from Semantic Attributes.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Formal verification of ACAS X, an industrial airborne collision avoidance system.
Proceedings of the 2015 International Conference on Embedded Software, 2015

2014
Topical Engagement on Twitter: Using Consistency of Activity as a Means of User Segmentation.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013
Scalable Sensor Network Field Reconstruction with Robust Basis Pursuit.
PhD thesis, 2013

2012
Compressed sensing radar surveillance networks.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Distributed field reconstruction with model-robust basis pursuit.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2009
Field inversion by consensus and compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009


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