Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering. - Mari-Sanna Paukkeri; Ilkka Kivimäki; Santosh Tirunagari; Erkki Oja; Timo Honkela (ICONIP (3), 2011)

Challenges in designing an online healthcare platform for personalised patient analytics. - Norman Poh; Santosh Tirunagari; David Windridge (CIBD, 2014)

Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responses. - Santosh Tirunagari; Norman Poh; Kouros Aliabadi; David Windridge; Deborah Cooke (CIDM, 2014)

The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks. - Pedro Tome; Ramachandra Raghavendra; Christoph Busch 001; Santosh Tirunagari; Norman Poh; B. H. Shekar; Diego Gragnaniello; Carlo Sansone; Luisa Verdoliva; Sébastien Marcel (ICB, 2015)

Data forensic techniques using Benford's law and Zipf's law for keystroke dynamics. - Aamo Iorliam; Anthony T. S. Ho; Norman Poh; Santosh Tirunagari; Patrick Bours (IWBF, 2015)

Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. - Santosh Tirunagari; Norman Poh; Miroslaw Bober; David Windridge (WIFS, 2015)

Exploratory Data Analysis of The KelvinHelmholtz instability in Jets. - Santosh Tirunagari (CoRR, 2015)

Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports. - Santosh Tirunagari (CoRR, 2015)

Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses. - Santosh Tirunagari; Norman Poh; Guosheng Hu; David Windridge (CoRR, 2015)

Detection of Face Spoofing Using Visual Dynamics. - Santosh Tirunagari; Norman Poh; David Windridge; Aamo Iorliam; Nik Suki; Anthony T. S. Ho (IEEE Trans. Inf. Forensics Secur., 2015)

Automatic classification of irregularly sampled time series with unequal lengths: A case study on estimated glomerular filtration rate. - Santosh Tirunagari; Simon C. Bull; Norman Poh (MLSP, 2016)

Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data. - Samaneh Kouchaki; Santosh Tirunagari; Avraam Tapinos; David L. Robertson (SSCI, 2016)

Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors. - Santosh Tirunagari; Simon C. Bull; Samaneh Kouchaki; Deborah Cooke; Norman Poh (SSCI, 2016)

Automatic detection of acute kidney injury episodes from primary care data. - Santosh Tirunagari; Simon C. Bull; Aki Vehtari; Christopher Farmer; Simon de Lusignan; Norman Poh (SSCI, 2016)

"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law. - Aamo Iorliam; Santosh Tirunagari; Anthony T. S. Ho; Shujun Li; Adrian Waller; Norman Poh (CoRR, 2016)

Can DMD obtain a Scene Background in Color? - Santosh Tirunagari; Norman Poh; Miroslaw Bober; David Windridge (CoRR, 2016)

Marginalised stack denoising autoencoders for metagenomic data binning. - Samaneh Kouchaki; Santosh Tirunagari; Avraam Tapinos; David L. Robertson (CIBCB, 2017)

Using Benford's law to detect anomalies in electroencephalogram: An application to detecting alzheimer's disease. - Santosh Tirunagari; Daniel Abásolo; Aamo Iorliam; Anthony T. S. Ho; Norman Poh (CIBCB, 2017)

One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease. - Santosh Tirunagari; Samaneh Kouchaki; Daniel Abásolo; Norman Poh (DSP, 2017)

Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR. - Norman Poh; Santosh Tirunagari; Nicholas Cole; Simon de Lusignan (J. Biomed. Informatics, 2017)

Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (Mach. Vis. Appl., 2017)

Dynamic mode decomposition for computer vision and signal processing. - Santosh Tirunagari (2017)

Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (CoRR, 2019)

Automatic Delineation of Kidney Region in DCE-MRI. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (CoRR, 2019)

Europe PMC in 2020. - Christine Ferguson; Dayane Araújo; Lynne Faulk; Yuci Gou; Audrey Hamelers; Zhan Huang; Michele Ide-Smith; Maria Levchenko; Nikos Marinos; Rakesh Nambiar; Maaly Nassar; Michael Parkin; et al. (Nucleic Acids Res., 2021)

Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning. - Vijay Simha Reddy Chennareddy; Santosh Tirunagari; Senthilkumar Mohan; David Windridge; Yashaswini Balla (MIWAI, 2023)

Addressing Challenges in Healthcare Big Data Analytics. - Santosh Tirunagari; Senthilkumar Mohan; David Windridge; Yashaswini Balla (MIWAI, 2023)

CoLocateMe: Aggregation-Based, Energy, Performance and Cost Aware VM Placement and Consolidation in Heterogeneous IaaS Clouds. - Muhammad Zakarya; Lee Gillam; Khaled Salah 001; Omer F. Rana; Santosh Tirunagari; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2023)

The next-generation Open Targets Platform: reimagined, redesigned, rebuilt. - David Ochoa; Andrew Hercules; Miguel Carmona; Daniel Suveges; Jarrod Baker; Cinzia Malangone; Irene Lopez; Alfredo Miranda; Carlos Cruz-Castillo; Luca Fumis; Manuel Bernal Llinares; Kirill Tsukanov; et al. (Nucleic Acids Res., 2023)

Visual attribution using Adversarial Latent Transformations. - Tehseen Zia; Abdul Wahab; David Windridge; Santosh Tirunagari; Nauman Bashir Bhatti (Comput. Biol. Medicine, 2023)

VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics. - Ammar A. Siddiqui; Santosh Tirunagari; Tehseen Zia; David Windridge (CoRR, 2024)

ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models. - Adrian Mirza; Nawaf Alampara; Martiño Ríos-García; Mohamed Abdelalim; Jack Butler; Bethany Connolly; Tunca Dogan; Marianna Nezhurina; Bünyamin Sen; Santosh Tirunagari; Mark Worrall; Adamo Young; et al. (CoRR, 2025)