485 citations · 1.5k across the 72 of their papers we have counts for
12 papers · 1 filter
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns
Elaheh AlipourChavary, Sarah M. Erfani, Christopher Leckie
Contrast pattern mining (CPM) aims to discover patterns whose support increases significantly from a background dataset compared to a target dataset. CPM is particularly useful for…
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
Shiquan Yang, Rui Zhang, Sarah Erfani
End-to-end task-oriented dialogue systems aim to generate system responses directly from plain text inputs. There are two challenges for such systems: one is how to effectively inc…
Segmented Pairwise Distance for Time Series with Large Discontinuities
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2
Time series with large discontinuities are common in many scenarios. However, existing distance-based algorithms (e.g., DTW and its derivative algorithms) may perform poorly in mea…
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss
Jiabo He, Sarah Erfani, Sudanthi Wijewickrema +2
Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding. However, most research and applications of semantic se…
Defending Distributed Classifiers Against Data Poisoning Attacks
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani +1
Support Vector Machines (SVMs) are vulnerable to targeted training data manipulations such as poisoning attacks and label flips. By carefully manipulating a subset of training samp…
Defending Regression Learners Against Poisoning Attacks
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan +2
Regression models, which are widely used from engineering applications to financial forecasting, are vulnerable to targeted malicious attacks such as training data poisoning, throu…