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08/19/2023
Dronevision: An Experimental 3D Testbed for Flying Light Specks
Today's robotic laboratories for drones are housed in a large room. At t...
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08/17/2023
Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Symbolic regression with polynomial neural networks and polynomial neura...
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05/29/2022
To test, or not to test: A proactive approach for deciding complete performance test initiation
Software performance testing requires a set of inputs that exercise diff...
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12/19/2021
Proactive Autoscaling for Edge Computing Systems with Kubernetes
With the emergence of the Internet of Things and 5G technologies, the ed...
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05/04/2021
Height Estimation of Children under Five Years using Depth Images
Malnutrition is a global health crisis and is the leading cause of death...
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02/12/2021
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
State-of-the-art neural network-based methods for learning summary stati...
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12/17/2020
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets
e-Infrastructures have powered the successful penetration of e-services ...
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10/22/2020
Accelerating computational modeling and design of high-entropy alloys
With huge design spaces for unique chemical and mechanical properties, w...
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01/31/2020
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
Approximate Bayesian Computation is widely used in systems biology for i...
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05/22/2018
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits
Approximate Bayesian computation is an established and popular method fo...
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12/11/2017
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing
Computation of document image quality metrics often depends upon the ava...
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09/06/2017