Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification

Information Retrieval on Noisy Text

Inductive Voltage Transformers Calibration by the Parameters

The accuracy class of an IVT – Inductive Voltage Transformer – is typically assessed in laboratory installations either by comparing with another IVT presenting greater accuracy and traceable to a national laboratory or by using a capacitive divider. Calibration in the field using internal parameters is considered herein, using results obtained from typical open and short circuit tests and wind...

From Text to Hypertext: A Post-Hoc Rationalisation of LaTeX2HTML

The conventional hypertext authoring framework compels authors to represent their material as an interconnected network of nodes and links. Apart from the diiculties that this alone entails, the situation with HTML is even more problematic since the author is also responsible for mapping the abstract network model onto the computer le system. This is likely to hinder the widespread adoption of ...

Cough event classification by pretrained deep neural network

BACKGROUND Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a better performed algorithm, pretrained deep neural network (DNN), to the cough classification problem, which is a key step in the cough monitor. METHOD The deep neural network ...

Audio-based Music Classification with a Pretrained Convolutional Network

Recently the ‘Million Song Dataset’, containing audio features and metadata for one million songs, was made available. In this paper, we build a convolutional network that is then trained to perform artist recognition, genre recognition and key detection. The network is tailored to summarize the audio features over musically significant timescales. It is infeasible to train the network on all a...