Majd Hawasly
TitleCited byYear
Bayesian policy reuse
B Rosman, M Hawasly, S Ramamoorthy
Machine Learning 104 (1), 99-127, 2016
352016
Topological trajectory classification with filtrations of simplicial complexes and persistent homology
FT Pokorny, M Hawasly, S Ramamoorthy
The International Journal of Robotics Research 35 (1-3), 204-223, 2016
332016
Multiscale Topological Trajectory Classification with Persistent Homology
FT Pokorny, M Hawasly, S Ramamoorthy
Robotics: Science and Systems X, 2014
242014
Social networks save energy: optimizing energy consumption in an ecovillage via agent-based simulation
M Hawasly, D Corne, S Roaf
Architectural Science Review 53 (1), 126-140, 2010
132010
Clustering markov decision processes for continual transfer
MM Mahmud, M Hawasly, B Rosman, S Ramamoorthy
arXiv preprint arXiv:1311.3959, 2013
122013
Lifelong learning of structure in the space of policies
M Hawasly, S Ramamoorthy
AAAI Spring Symposium on Lifelong Machine Learning, 2013
72013
Grounding of human environments and activities for autonomous robots
M Alomari, P Duckworth, N Bore, M Hawasly, DC Hogg, AG Cohn
IJCAI-17 Proceedings, 1395-1402, 2017
52017
Natural language grounding and grammar induction for robotic manipulation commands
M Alomari, P Duckworth, M Hawasly, DC Hogg, AG Cohn
Proceedings of the First Workshop on Language Grounding for Robotics, 35-43, 2017
52017
Lifelong Transfer Learning with an Option Hierarchy
M Hawasly, S Ramamoorthy
IROS 2013, International Conference on Intelligent Robots and Systems, Tokyo …, 2013
52013
Clustering Markov Decision Processes for Continual Transfer
S Ramamoorthy, MMH Mahmud, M Hawasly, B Rosman
22013
Team Edinferno Description Paper for RoboCup 2011 SPL
S Ramamoorthy, A Valtazanos, E Vafeias, C Towell, M Hawasly, ...
School of Informatics, The University of Edinburgh, 2011
2*2011
PaRoT: A Practical Framework for Robust Deep NeuralNetwork Training
E Ayers, F Eiras, M Hawasly, I Whiteside
arXiv preprint arXiv:2001.02152, 2020
12020
Efficient computation of collision probabilities for safe motion planning
A Blake, A Bordallo, M Hawasly, S Penkov, S Ramamoorthy, A Silva
arXiv preprint arXiv:1804.05384, 2018
12018
Learning hierarchical models of complex daily activities from annotated videos
J Tayyub, M Hawasly, DC Hogg, AG Cohn
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1633-1641, 2018
12018
CLAD: a complex and long activities dataset with rich crowdsourced annotations
J Tayyub, M Hawasly, DC Hogg, AG Cohn
arXiv preprint arXiv:1709.03456, 2017
12017
Multi-Scale Activity Estimation with Spatial Abstractions
M Hawasly, FT Pokorny, S Ramamoorthy
12017
Estimating Activity at Multiple Scales using Spatial Abstractions
M Hawasly, FT Pokorny, S Ramamoorthy
arXiv preprint arXiv:1607.07311, 2016
12016
Task Variability in Autonomous Robots: Offline Learning for Online Performance
M Hawasly, S Ramamoorthy
Proceedings of the 5th International Workshop on Evolutionary and …, 2012
12012
EdInferno. 2D Team Description Paper for RoboCup 2011 2D Soccer Simulation League
M Hawasly, S Ramamoorthy
Robocup, 2011
12011
A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving
F Eiras, M Hawasly, SV Albrecht, S Ramamoorthy
arXiv preprint arXiv:2002.02215, 2020
2020
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