Improved activity recognition via Kalman smoothing and multiclass linear discriminant analysis. - Neil Dhir; Frank D. Wood (EMBC, 2014)

Nonparametric Bayesian models for unsupervised activity recognition and tracking. - Neil Dhir; Yura N. Perov; Frank D. Wood (IROS, 2016)

Interpreting Lion Behaviour as Probabilistic Programs. - Neil Dhir; Matthijs Vákár; Matthew Wijers; Andrew Markham; Frank D. Wood (UAI, 2017)

Locomotion Envelopes for Adaptive Control of Powered Ankle Prostheses. - Neil Dhir; Houman Dallali; Evandro Maicon Ficanha; Guilherme Aramizo Ribeiro; Mo Rastgaar (ICRA, 2018)

Coregionalised Locomotion Envelopes - A Qualitative Approach. - Neil Dhir; Houman Dallali; Mo Rastgaar (CoRR, 2018)

Generalising Cost-Optimal Particle Filtering. - Andrew Warrington; Neil Dhir (CoRR, 2018)

Boltzmann Exploration Expectation-Maximisation. - Mathias Edman; Neil Dhir (CoRR, 2019)

Identifying robust markers of Parkinson's disease in typing behaviour using a CNN-LSTM network. - Neil Dhir; Mathias Edman; Álvaro Sanchez Ferro; Tom Stafford 002; Colin J. Bannard (CoNLL, 2020)

An Automatic Type-Inferential General Latent Feature Model. - Neil Dhir; Tomasz Rudny; Davide Zilli; Alessandra Tosi (IJCNN, 2020)

An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. - Chance Haycock; Edward Thorpe-Woods; James Walsh 004; Patrick O'Hara; Oscar Giles; Neil Dhir; Theodoros Damoulas (CoRR, 2020)

Near Real-Time Social Distancing in London. - James Walsh 004; Oluwafunmilola Kesa; Andrew Wang 004; Mihai Ilas; Patrick O'Hara; Oscar Giles; Neil Dhir; Theodoros Damoulas (CoRR, 2020)

Dynamic Causal Bayesian Optimization. - Virginia Aglietti; Neil Dhir; Javier González 002; Theodoros Damoulas (NeurIPS, 2021)

Prospective Artificial Intelligence Approaches for Active Cyber Defence. - Neil Dhir; Henrique Hoeltgebaum; Niall M. Adams; Mark Briers; Anthony Burke; Paul Jones (CoRR, 2021)

Chronological Causal Bandits. - Neil Dhir (CoRR, 2021)

Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation. - Alex Andrew; Sam Spillard; Joshua Collyer; Neil Dhir (CoRR, 2022)

Causal Entropy Optimization. - Nicola Branchini; Virginia Aglietti; Neil Dhir; Theodoros Damoulas (AISTATS, 2023)

Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. - Kim Hammar; Neil Dhir (CoRR, 2023)

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search. - Kim Hammar; Neil Dhir; Rolf Stadler (CoRR, 2024)

Near Real-Time Social Distance Estimation In London. - James Walsh 004; Oluwafunmilola Kesa; Andrew Wang 004; Mihai Ilas; Patrick O'Hara; Oscar Giles; Neil Dhir; Mark Girolami; Theodoros Damoulas (Comput. J., 2024)

General Autonomous Cybersecurity Defense: Learning Robust Policies for Dynamic Topologies and Diverse Attackers. - Arun Ramamurthy; Neil Dhir (CoRR, 2025)