Andrew Starkey
YOU?
Author Swipe
View article: ClusterSwarm: cluster-specific feature selection using binary particle swarm optimisation
ClusterSwarm: cluster-specific feature selection using binary particle swarm optimisation Open
Feature selection has become an important step in machine learning pipelines, contributing to model interpretability and accuracy. While the emphasis has been hugely on global feature selection techniques, these methods do not support feat…
View article: TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization Open
Task-oriented grasping (TOG) is an essential preliminary step for robotic task execution, which involves predicting grasps on regions of target objects that facilitate intended tasks. Existing literature reveals there is a limited availabi…
View article: A Practical Sensor-to-Segment Calibration Method for Upper Limb Inertial Motion Capture in a Clinical Setting
A Practical Sensor-to-Segment Calibration Method for Upper Limb Inertial Motion Capture in a Clinical Setting Open
Inertial sensors have the potential to be a useful clinical tool because they can facilitate human motion capture outside the research setting. A major barrier to the widespread application of inertial motion capture is the lack of accepte…
View article: 2023 8th International Conference on Robotics and Automation Engineering Quantifying the Performance of Deep Neural Networks in Predicting Curvature and Force Output Response of a Pneumatic Soft Actuator
2023 8th International Conference on Robotics and Automation Engineering Quantifying the Performance of Deep Neural Networks in Predicting Curvature and Force Output Response of a Pneumatic Soft Actuator Open
Soft robotics promises new opportunities for solving problems that were limited by rigid robots due to their compliant physical structure. Pneumatic Soft Actuators (PSA) are a class of soft robots that have gained popularity due to their c…
View article: One-Shot Learning for Task-Oriented Grasping
One-Shot Learning for Task-Oriented Grasping Open
International audience
View article: Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem
Investigating the Performance of Data Complexity & Instance Hardness Measures as A Meta-Feature in Overlapping Classes Problem Open
Open Access via the ACM Agreement
View article: Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Review of Methods for Performance, Transparency and Carbon Footprint
Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Review of Methods for Performance, Transparency and Carbon Footprint Open
Online social media platforms have contributed significantly to the dissemination of user-generated information. Many studies have proposed various techniques to analyse the publicly available short texts to automatically extract topics. T…
View article: Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Review of Methods for Performance, Transparency and Carbon Footprint
Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Review of Methods for Performance, Transparency and Carbon Footprint Open
Online social media platforms have contributed significantly to the dissemination of user-generated information. Many studies have proposed various techniques to analyse the publicly available short texts to automatically extract topics. T…
View article: Automated Well-Log Pattern Alignment and Depth-Matching Techniques: An Empirical Review and Recommendations
Automated Well-Log Pattern Alignment and Depth-Matching Techniques: An Empirical Review and Recommendations Open
Well logging has been an integral part of decision making at different stages (drilling, completion, production, abandonment) of a well’s history. However, the traditional human-reliant approach to well-log interpretation, which has been t…
View article: Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Comparison of Methods for Performance, Transparency, and Carbon Footprint
Towards a Transparent and an Environmental-Friendly Approach for Short Text Topic Detection: A Comparison of Methods for Performance, Transparency, and Carbon Footprint Open
Peer reviewed
View article: Real-Time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach
Real-Time Event Detection Using Self-Evolving Contextual Analysis (SECA) Approach Open
Dynamically monitoring and analyzing evolving real-world events (riots, earthquakes, and football matches) using publicly available short texts (social media posts) is becoming increasingly important. This content can hold critical informa…
View article: Assesing The Stability And Selection Performance Of Feature Selection Methods Under Different Data Complexity
Assesing The Stability And Selection Performance Of Feature Selection Methods Under Different Data Complexity Open
Our study aims to investigate the stability and the selection accuracy of feature selection performance under different data complexity. The motivation behind this investigation is that there are significant contributions in the research c…
View article: Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity
Stability and Accuracy of Feature Selection Methods on Datasets of Varying Data Complexity Open
One widespread criterion used to evaluate feature selection techniques is the classifier performance of the selected features. Another criterion that has recently drawn attention in the feature selection community is the stability of featu…
View article: Review of classification algorithms with changing inter-class distances
Review of classification algorithms with changing inter-class distances Open
Peer reviewed
View article: Short Text Classification Using Contextual Analysis
Short Text Classification Using Contextual Analysis Open
Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving. Micr…
View article: Technical Opinion: From Animal Behaviour to Autonomous Robots
Technical Opinion: From Animal Behaviour to Autonomous Robots Open
With the rising applications of robots in unstructured real-world environments, roboticists are increasingly concerned with the problems posed by the complexity of such environments. One solution to these problems is robot autonomy. Since …
View article: Painting Music: Using artificial intelligence to create music from live painted drawings
Painting Music: Using artificial intelligence to create music from live painted drawings Open
This article describes the development of artificial intelligence (AI) techniques that monitor a painting or drawing evolving in real time and produce musical notes that relate to the individual elements of art as the artwork develops on t…
View article: Analysing fake news titles for 2016 Trump-Hillary campaign using contextual-based approaches in text analytics
Analysing fake news titles for 2016 Trump-Hillary campaign using contextual-based approaches in text analytics Open
Text analytics is the process of transforming unstructured text data into meaningful information that can be used for fact-based decision making.It is widely used for sentiment analysis, summarising text or searching for useful information…
View article: Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches
Predicting Supervise Machine Learning Performances for Sentiment Analysis Using Contextual-Based Approaches Open
Peer reviewed
View article: Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning
Unsupervised Temporospatial Neural Architecture for Sensorimotor Map Learning Open
The ability to learn the sensorimotor maps of unknown environments without supervision is a vital capability of any autonomous agent, be it biological or artificial. An accurate sensorimotor map should be able to encode the agent's world a…
View article: Automated Feature Identification and Classification Using Automated Feature Weighted Self Organizing Map (FWSOM)
Automated Feature Identification and Classification Using Automated Feature Weighted Self Organizing Map (FWSOM) Open
Peer reviewed
View article: Application of feature selection methods for automated clustering analysis: a review on synthetic datasets
Application of feature selection methods for automated clustering analysis: a review on synthetic datasets Open
The effective modelling of high-dimensional data with hundreds to thousands of features remains a challenging task in the field of machine learning. This process is a manually intensive task and requires skilled data scientists to apply ex…
View article: Finite element simulation of guided waves in pipelines for long range monitoring against third party attacks
Finite element simulation of guided waves in pipelines for long range monitoring against third party attacks Open
Peer reviewed