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Found 6 papers, 4 papers with code
Predicting the structure of dynamic graphs
Dynamic graph embeddings, inductive and incremental learning facilitate predictive tasks such as node classification and link prediction.
DEFT: A new distance-based feature set for keystroke dynamics
We combine flight times, a popular metric, with the distance between keys on the keyboard and call them as Distance Enhanced Flight Time features (DEFT).
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory
Item Response Theory (IRT) has been proposed within the field of Educational Psychometrics to assess student ability as well as test question difficulty and discrimination power.
Anomaly detection in dynamic networks
Detecting anomalies from a series of temporal networks has many applications, including road accidents in transport networks and suspicious events in social networks.
Short-term prediction of stream turbidity using surrogate data and a meta-model approach
Many water-quality monitoring programs aim to measure turbidity to help guide effective management of waterways and catchments, yet distributing turbidity sensors throughout networks is typically cost prohibitive.
Unsupervised Anomaly Detection Ensembles using Item Response Theory
Thus, traditional ensemble techniques that use the response variable or the class labels cannot be used to construct an ensemble for unsupervised anomaly detection.
