75 citations · 143 across the 9 of their papers we have counts for
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3 papers · 1 filter
stat.ML2017
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
Tegjyot Singh Sethi, Mehmed Kantardzic
Classifiers deployed in the real world operate in a dynamic environment, where the data distribution can change over time. These changes, referred to as concept drift, can cause th…
cs.AI2017★ 1 cited
Evaluating Complex Task through Crowdsourcing: Multiple Views Approach
Lingyu Lyu, Mehmed Kantardzic
With the popularity of massive open online courses, grading through crowdsourcing has become a prevalent approach towards large scale classes. However, for getting grades for compl…
stat.ML2017★ 47 cited
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains
Tegjyot Singh Sethi, Mehmed Kantardzic
While modern day web applications aim to create impact at the civilization level, they have become vulnerable to adversarial activity, where the next cyber-attack can take any shap…