65 citations · 73 across the 11 of their papers we have counts for
13 papers
Provably Lossless Acceleration of DNN Mutation Testing via Memoization
Ali Ghanbari, Ben Greenman, Sasan Tavakkol +1
Mutation analysis has recently reemerged in the context of deep neural networks (DNNs) as a promising, but notoriously costly, approach for assessing test dataset adequacy. Existin…
Using Fourier Analysis and Mutant Clustering to Accelerate DNN Mutation Testing
Ali Ghanbari, Sasan Tavakkol
Deep neural network (DNN) mutation analysis is a promising approach to evaluating test set adequacy. Due to the large number of generated mutants that must be tested on large datas…
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
Shangdi Yu, Jessica Shi, Jamison Meindl +7
We introduce the ParClusterers Benchmark Suite (PCBS) -- a collection of highly scalable parallel graph clustering algorithms and benchmarking tools that streamline comparing diffe…
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu, Stephen Albro, Giulia DeSalvo +5
Training high-quality instance segmentation models requires an abundance of labeled images with instance masks and classifications, which is often expensive to procure. Active lear…
Agile Modeling: From Concept to Classifier in Minutes
Otilia Stretcu, Edward Vendrow, Kenji Hata +15
The application of computer vision to nuanced subjective use cases is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a…
A First-Order Numerical Algorithm without Matrix Operations
Muhammad Adil, Ramtin Madani, Sasan Tavakkol +1
This paper offers a matrix-free first-order numerical method to solve large-scale conic optimization problems. Solving systems of linear equations pose the most computationally cha…
An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images
Zekun Li, Yao-Yi Chiang, Sasan Tavakkol +4
Historical maps contain detailed geographic information difficult to find elsewhere covering long-periods of time (e.g., 125 years for the historical topographic maps in the US). H…
Rapid Convergence of First-Order Numerical Algorithms via Adaptive Conditioning
Muhammad Adil, Sasan Tavakkol, Ramtin Madani
This paper is an attempt to remedy the problem of slow convergence for first-order numerical algorithms by proposing an adaptive conditioning heuristic. First, we propose a paralle…
Kartta Labs: Collaborative Time Travel
Sasan Tavakkol, Feng Han, Brandon Mayer +4
We introduce the modular and scalable design of Kartta Labs, an open source, open data, and scalable system for virtually reconstructing cities from historical maps and photos. Kar…
Adaptive Third Order Adams-Bashforth Time Stepping for Extended Boussinesq Equations
Sasan Tavakkol, Sangyoung Son, Patrick Lynett
We develop the third-order adaptive Adams-Bashforth time stepping and the second-order finite difference equation for variable time steps. We incorporate these schemes in the Celer…
A Review on the Applications of Crowdsourcing in Human Pathology
Roshanak Alialy, Sasan Tavakkol, Elham Tavakkol +4
The advent of the digital pathology has introduced new avenues of diagnostic medicine. Among them, crowdsourcing has attracted researchers' attention in the recent years, allowing…
Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time interactive simulation and visualization
Sasan Tavakkol, Patrick Lynett
In this paper, we introduce an interactive coastal wave simulation and visualization software, called Celeris. Celeris is an open source software which needs minimum preparation to…
Wall and Bed Shear Force in Rectangular Open Channels
Sasan Tavakkol, Amir Reza Zarrati
This paper studies the effects of velocity gradients and secondary currents on the distribution of the shear force between the walls and bed of rectangular open channels. We show t…