Randomness has always been present in one or other form in Machine Learning (ML)
models. The last few years have seen a change of role in the use of randomness, which is …

This paper provides a detailed overview of the system we submitted as part of the
OSACT2022 Shared Tasks on Fine-Grained Hate Speech Detection on Arabic Twitter, its …

The fiber length and the Canadian standard freeness (CSF) are two key indices in
measuring pulp quality of the refining process with non-Gaussian stochastic distribution …

Logographic and alphabetic languages (eg, Chinese vs. English) have different writing
systems linguistically. Languages belonging to the same writing system usually exhibit more …

Pulp is the most important raw material in paper industries, whose fiber length stochastic
distribution (FLSD) shaping directly determines the energy consumption and paper quality of …

In this paper, we propose a method to design Neural Networks with Random Weights in the
presence of incomplete data. We present a method, under the general assumption that the …

Artificial neural networks are capable of constructing complex decision boundaries and over
the recent years they have been widely used in many practical applications ranging from …

A novel approach to extreme learning machine (ELM) ensembles is proposed. It
incorporates majority voting into the recently proposed q-generalized random neural …

The use of hateful language in public debates and forums is becoming more common.
However, this might result in antagonism and conflicts among individuals, which is …

Artificial neural networks are currently one of the most commonly used classifiers and over
the recent years they have been successfully used in many practical applications, including …