Using BERT to Generate Contextualised Textual Images for Sentiment Analysis.

Investigating HuBERT-Based Speech Emotion Recognition Generalisation Capability.

On Instance Weighted Clustering Ensembles.

Sentiment Analysis using BLSTM-ResNet on Textual Images.

A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition.

Instance Weighted Clustering: Local Outlier Factor and K-Means.

Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning.

An Investigation of How Wavelet Transform Can Affect the Correlation Performance of Biomedical Signals - The Correlation of EEG and HRV Frequency Bands in the Frontal Lobe of the Brain.

Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis.

Time Series Analysis using Embedding Dimension on Heart Rate Variability.

Revising Max-Min for Scheduling in a Cloud Computing Context.

Mining Hubble Space Telescope images.

Error Correction over Optical Transmission.

Investigating optical transmission error correction using wavelet transforms.

The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance.

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns.

The importance of hyperparameters selection within small datasets.

Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes.

Linear Support Vector Machines for Error Correction in Optical Data Transmission.

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.

The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes.

Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers.

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.

Further thoughts on precision.

The misuse of the NASA metrics data program data sets for automated software defect prediction.

Predicting drug absorption rates through human skin.

Software defect prediction using static code metrics underestimates defect-proneness.

Using Randomised Vectors in Transcription Factor Binding Site Predictions.

Correcting Errors in Optical Data Transmission Using Neural Networks.

The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes.

Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems.

Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics.

Prediction of Skin Penetration Using Machine Learning Methods.

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.

Predicting Binding Sites in the Mouse Genome.

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.

Identifying Binding Sites in Sequential Genomic Data.

Improving Computational Predictions of Cis- Regulatory Binding Sites.

Using sampling methods to improve binding site predictions.

Using Feature Selection Filtering Methods for Binding Site Predictions.

Using real-valued meta classifiers to integrate binding site predictions.

A generative probabilistic approach to visualizing sets of symbolic sequences.

Segmenting handwritten text using supervised classification techniques.

Identifying word boundaries in handwrittem text.

Integrating Binding Site Predictions Using Non-linear Classification Methods.

Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds.