James Gillespie

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 6

Top Topics

Accelerometer Data

Reinforcement Learning

Subsumption Architecture

Top Venues

Appl. Categorical Struct.

Publications

Daniel Bravo, James Gillespie, Marco A. Pérez
Locally Type $\text {FP}_{{\varvec{n}}}$ and ${\varvec{n}}$-Coherent Categories. Appl. Categorical Struct. 31 (2) (2023)
James Gillespie, Iñaki Rañó, José Santos, Nazmul H. Siddique
Reinforcement Learning for Bio-Inspired Stochastic Robot Control. AICS (2023)
Daniel Kelly, Joan Condell, James Gillespie, Karla Muñoz Esquivel, John Barton, Salvatore Tedesco, Anna Nordström, Markus Åkerlund Larsson, Antti Alamäki
Improved screening of fall risk using free-living based accelerometer data. J. Biomed. Informatics 131 (2022)
Daniel Kelly, Karla Muñoz Esquivel, James Gillespie, Joan Condell, Richard J. Davies, Shvan Karim, Elina Nevala, Antti Alamäki, Juha Jalovaara, John Barton, Salvatore Tedesco, Anna Nordström
Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings. Sensors 21 (13) (2021)
James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
Using Reinforcement Learning to Attenuate for Stochasticity in Robot Navigation Controllers. SSCI (2019)
James Gillespie, Iñaki Rañó, Nazmul H. Siddique, José Santos, Mehdi Khamassi
Reinforcement Learning for Bio-Inspired Target Seeking. TAROS (2017)
Spyridon Pavlidis, Carlos A. Donado Morcillo, Peter Song, Wasif T. Khan, Robert Fitch, James Gillespie, Rey Febo, Tony Quach, John Papapolymerou
A hybrid GaN/organic X-band transmitter module. RWS (2013)