Mark Reynolds
Mark Reynolds
Professor of Computer Science, University of Western Australia
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Citado por
Citado por
Temporal Logic: Mathematical Foundations and Computational Aspects, Volume 2.
D Gabbay, M Reynolds, M Finger
Oxford University Press, 2000
SS-LSTM: A hierarchical LSTM model for pedestrian trajectory prediction
H Xue, DQ Huynh, M Reynolds
2018 IEEE winter conference on applications of computer vision (WACV), 1186-1194, 2018
An axiomatization of full computation tree logic
M Reynolds
The Journal of Symbolic Logic 66 (3), 1011-1057, 2001
The imperative future
H Barringer, M Fisher, D Gabbay, R Owens, M Reynolds
Research Studies Press, Somerset, 1996
Connexive modal logic
H Wansing, R Schmidt, I Pratt-Hartmann, M Reynolds
AiML-2004: Advances in Modal Logic 5, 387-399, 2004
The complexity of temporal logic over the reals
M Reynolds
Annals of Pure and Applied Logic 161 (8), 1063-1096, 2010
11 Temporal logic
I Hodkinson, M Reynolds
Studies in logic and practical reasoning 3, 655-720, 2007
Undecidability of compass logic
M Marx, M Reynolds
Journal of Logic and Computation 9 (6), 897-914, 1999
The complexity of the temporal logic with “until” over general linear time
M Reynolds
Journal of Computer and System Sciences 66 (2), 393-426, 2003
A vision-based pipeline for vehicle counting, speed estimation, and classification
C Liu, DQ Huynh, Y Sun, M Reynolds, S Atkinson
IEEE transactions on intelligent transportation systems 22 (12), 7547-7560, 2020
On the products of linear modal logics
M Reynolds, M Zakharyaschev
Journal of Logic and Computation 11 (6), 909-931, 2001
A supervised learning framework: Using assessment to identify students at risk of dropping out of a MOOC
D Monllao Olive, DQ Huynh, M Reynolds, M Dougiamas, D Wiese
Journal of Computing in Higher Education 32 (1), 9-26, 2020
Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification
H Xue, DQ Huynh, M Reynolds
Digital Image Computing: Techniques and Applications (DICTA), 2017 …, 2017
A decidable temporal logic of parallelism
M Reynolds
Notre Dame Journal of Formal Logic 38 (3), 419-436, 1997
PoPPL: Pedestrian trajectory prediction by LSTM with automatic route class clustering
H Xue, DQ Huynh, M Reynolds
IEEE transactions on neural networks and learning systems 32 (1), 77-90, 2020
Multiobjective optimization of ethylene cracking furnace system using self-adaptive multiobjective teaching-learning-based optimization
K Yu, L While, M Reynolds, X Wang, JJ Liang, L Zhao, Z Wang
Energy 148, 469-481, 2018
A quest for a one-size-fits-all neural network: early prediction of students at risk in online courses
DM Olive, DQ Huynh, M Reynolds, M Dougiamas, D Wiese
IEEE Transactions on Learning Technologies 12 (2), 171-183, 2019
An axiomatization of PCTL*
M Reynolds
Information and Computation 201 (1), 72-119, 2005
Quantum algorithm for visual tracking
CH Yu, F Gao, C Liu, D Huynh, M Reynolds, J Wang
Physical Review A, 2019
Synthesis of LTL formulas from natural language texts: State of the art and research directions
A Brunello, A Montanari, M Reynolds
26th International symposium on temporal representation and reasoning (TIME …, 2019
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