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Found 7 papers, 1 papers with code
Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry
We show that this approach can be both accurate as well as uniquely useful in the business-to-business context, with which the scholarly publishing business model shares similarities.
A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard
We introduce the first automated models for classifying natural language descriptions provided in cost documents called "Bills of Quantities" (BoQs) popular in the infrastructure construction industry, into the International Construction Measurement Standard (ICMS).
Problem Classification for Tailored Helpdesk Auto-Replies
IT helpdesks are charged with the task of responding quickly to user queries.
Analysing the Predictivity of Features to Characterise the Search Space
Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades.
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure
The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification, emotion classification and drug effects diagnosis, amongst others.
Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models
The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids.
Task-oriented Dialogue Systems: performance vs. quality-optima, a review
Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money.
