ST
Publications
- Data Forensic Determination of the Accuracy of International COVID-19 Reporting: Using Zipf's Law for Pandemic Investigation
- A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk
- The next-generation Open Targets Platform: reimagined, redesigned, rebuilt.
- A Convex Selective Segmentation Model based on a Piece-wise Constant Metric Guided Edge Detector Function
- Europe PMC in 2020.
- A protocol for conducting review on the Challenges, Opportunities of Machine Learning in Pediatric Healthcare
- CoLocateMe: Aggregation-Based, Energy, Performance and Cost Aware VM Placement and Consolidation in Heterogeneous IaaS Clouds
- Europe PMC Annotated Full-text Corpus for Gene/Proteins, Diseases and Organisms
- "Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law
- Dynamic Mode Decomposition for Univariate Time Series: Analysing Trends and Forecasting
- Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
- Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports
- Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering
- Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
- Can DMD obtain a Scene Background in Color?
- Exploratory Data Analysis of The KelvinHelmholtz instability in Jets
- Dynamic mode decomposition for computer vision and signal processing
- One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease
- Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease
- Detection of Face Spoofing Using Visual Dynamics
- Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition
- Marginalised stack denoising autoencoders for metagenomic data binning
- Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR
- Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate
- Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data
- Automatic detection of acute kidney injury episodes from primary care data
- Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics
- Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors
- The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks
- Data forensic techniques using Benford's law and Zipf's law for keystroke dynamics
- Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III
- Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responses
- Challenges in designing an online healthcare platform for personalised patient analytics
- Large-eddy simulation of highly underexpanded transient gas jets
- Analysis of Proper Orthogonal Decomposition and Dynamic Mode Decomposition on LES of Subsonic Jets
- Automatic Delineation of Kidney Region in DCE-MRI
- Machine Learning in Pediatrics: Evaluating Challenges, Opportunities, and Explainability.
- Nasal correction in nasomaxillary hypoplasia (Binder's syndrome): An optimised classification and treatment.
- Synthesis, docking and ADMET studies of novel chalcone triazoles for anti-cancer and anti-diabetic activity.
- Proper orthogonal decomposition analysis of cross sectional fuel spray data
- Data-Forensic Determination of the Accuracy of International COVID-19 Reporting: Using Zipf‘s Law for Pandemic Investigation
- Epileptic seizure detection using constrained singular spectrum analysis and 1D-local binary patterns
- Addressing Challenges in Healthcare Big Data Analytics
- A convex selective segmentation model based on a piece-wise constant metric-guided edge detector function
- Feasibility of collision and grounding data for probabilistic accident modeling
- Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability
- Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning
- Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms
- Europe PMC in 2023.
- Visual attribution using Adversarial Latent Transformations.
- Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability.
- Single dose oral etodolac for acute postoperative pain in adults.
- Lit-OTAR Framework for Extracting Biological Evidences from Literature
- Human-in-the-loop approach to identify functionally important residues of proteins from literature