87 citations · 159 across the 11 of their papers we have counts for
5 papers · 1 filter
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov +3
A novel self-organizing fuzzy proportional-integral-derivative (SOF-PID) control system is proposed in this paper. The proposed system consists of a pair of control and reference m…
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov, Eduardo Soares
In this paper, we propose an elegant solution that is directly addressing the bottlenecks of the traditional deep learning approaches and offers a clearly explainable internal arch…
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
Xiaowei Gu, Plamen P Angelov, Eduardo Almeida Soares
Traditionally, in supervised machine learning, (a significant) part of the available data (usually 50% to 80%) is used for training and the rest for validation. In many problems, h…
Novelty Detection and Learning from Extremely Weak Supervision
Eduardo Soares, Plamen Angelov
In this paper we offer a method and algorithm, which make possible fully autonomous (unsupervised) detection of new classes, and learning following a very parsimonious training pri…
Fair-by-design explainable models for prediction of recidivism
Eduardo Soares, Plamen Angelov
Recidivism prediction provides decision makers with an assessment of the likelihood that a criminal defendant will reoffend that can be used in pre-trial decision-making. It can al…