36 citations · 67 across the 14 of their papers we have counts for
4 papers · 1 filter
A Comparative Analysis of Influence Signals for Data Debugging
Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides
Improving the quality of training samples is crucial for improving the reliability and performance of ML models. In this paper, we conduct a comparative evaluation of influence-bas…
A Meta-level Analysis of Online Anomaly Detectors
Antonios Ntroumpogiannis, Michail Giannoulis, Nikolaos Myrtakis +3
Real-time detection of anomalies in streaming data is receiving increasing attention as it allows us to raise alerts, predict faults, and detect intrusions or threats across indust…
On Predictive Explanation of Data Anomalies
Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides
Numerous algorithms have been proposed for detecting anomalies (outliers, novelties) in an unsupervised manner. Unfortunately, it is not trivial, in general, to understand why a gi…
Massively-Parallel Feature Selection for Big Data
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis +2
We present the Parallel, Forward-Backward with Pruning (PFBP) algorithm for feature selection (FS) in Big Data settings (high dimensionality and/or sample size). To tackle the chal…