Temporal Logic: Mathematical Foundations and Computational Aspects, Volume 2. D Gabbay, M Reynolds, M Finger Oxford University Press, 2000 | 957 | 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 | 451 | 2018 |
An axiomatization of full computation tree logic M Reynolds The Journal of Symbolic Logic 66 (3), 1011-1057, 2001 | 188 | 2001 |
The imperative future H Barringer, M Fisher, D Gabbay, R Owens, M Reynolds Research Studies Press, Somerset, 1996 | 187* | 1996 |
Connexive modal logic H Wansing, R Schmidt, I Pratt-Hartmann, M Reynolds AiML-2004: Advances in Modal Logic 5, 387-399, 2004 | 133 | 2004 |
The complexity of temporal logic over the reals M Reynolds Annals of Pure and Applied Logic 161 (8), 1063-1096, 2010 | 88 | 2010 |
11 Temporal logic I Hodkinson, M Reynolds Studies in logic and practical reasoning 3, 655-720, 2007 | 79 | 2007 |
Undecidability of compass logic M Marx, M Reynolds Journal of Logic and Computation 9 (6), 897-914, 1999 | 78 | 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 | 73 | 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 | 69 | 2020 |
On the products of linear modal logics M Reynolds, M Zakharyaschev Journal of Logic and Computation 11 (6), 909-931, 2001 | 69 | 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 | 67 | 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 | 66 | 2017 |
A decidable temporal logic of parallelism M Reynolds Notre Dame Journal of Formal Logic 38 (3), 419-436, 1997 | 66 | 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 | 65 | 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 | 61 | 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 | 59 | 2019 |
An axiomatization of PCTL* M Reynolds Information and Computation 201 (1), 72-119, 2005 | 59 | 2005 |
Quantum algorithm for visual tracking CH Yu, F Gao, C Liu, D Huynh, M Reynolds, J Wang Physical Review A, 2019 | 57 | 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 | 55 | 2019 |