This paper presents a complete approach to a successful utilization of a high-performance
extreme learning machines (ELMs) Toolbox for Big Data. It summarizes recent advantages …

In this paper, we present a fast and accurate method for the classification of web content.
Our algorithm uses the visual information of the main homepage saved in an image format …

In this paper we present a methodology and the corresponding Python library1 for the
classification of webpages. The method retrieves a fixed number of images from a given …

In this paper, we present a novel approach to the verification of users through their own
handwritten static signatures using the extreme learning machine (ELM) methodology. Our …

This paper proposes a block solution method for the Extreme Learning Machine. It combines
the speed of a direct non-iterative solver with minimal memory requirements. The method is …

This paper presents an extension of the well-known Extreme Learning Machines (ELMs).
The main goal is to provide probabilities as outputs for Multiclass Classification problems …

Abstract Extreme Learning Machine (ELM) is a recently discovered way of training Single
Layer Feed-forward Neural Networks with an explicitly given solution, which exists because …

Basic image segmentation is a fairly simple task for human beings and even young children
can accomplish it naturally, but for machines, this can be a burdensome and difficult task …

In this paper, we present a novel approach to the verification of users through their own
handwritten static signatures using the extreme learning machine (ELM) methodology. Our …

In this paper, we present a fast and accurate method for the classification of web content.
Our algorithm uses the visual information of the main homepage saved in an image format …