| 2005 |
|---|
| 9 | EE | Weidong Zhou,
Richard Coggins:
A Biologically Inspired Hierarchical Reinforcement Learning System.
Cybernetics and Systems 36(1): 1-44 (2005) |
| 2004 |
|---|
| 8 | EE | Adam Blazejewski,
Richard Coggins:
Application of self-organizing maps to clustering of high-frequency Financial data.
ACSW Frontiers 2004: 85-90 |
| 7 | EE | Weidong Zhou,
Richard Coggins:
Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments.
BioADIT 2004: 80-94 |
| 2003 |
|---|
| 6 | | Weidong Zhou,
Richard Coggins:
Emotion-based Hierarchical Reinforcement Learning.
HIS 2003: 951-960 |
| 5 | EE | Kevin Lo,
Richard Coggins:
Intraday Analysis of Portfolios on the ASX Using ICA.
IDEAL 2003: 934-938 |
| 2002 |
|---|
| 4 | EE | Weidong Zhou,
Richard Coggins:
Computational Models of the Amygdala and the Orbitofrontal Cortex: A Hierarchical Reinforcement Learning System for Robotic Control.
Australian Joint Conference on Artificial Intelligence 2002: 419-430 |
| 1998 |
|---|
| 3 | EE | Richard Coggins,
Raymond J. Wang,
Marwan A. Jabri:
A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser.
NIPS 1998: 671-677 |
| 1994 |
|---|
| 2 | EE | Richard Coggins,
Marwan A. Jabri,
Barry Flower,
Stephen Pickard:
ICEG Morphology Classification using an Analogue VLSI Neural Network.
NIPS 1994: 731-738 |
| 1993 |
|---|
| 1 | EE | Richard Coggins,
Marwan A. Jabri:
WATTLE: A Trainable Gain Analogue VLSI Neural Network.
NIPS 1993: 874-881 |
