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Saeid Mokaram
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2020 – today
- 2021
- [c6]Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras:
Analyzing Online Political Advertisements. ACL/IJCNLP (Findings) 2021: 3669-3680 - [c5]Jara Alvarez Masso, Alexandru Mihai Rogozea, Jan Medvesek, Saeid Mokaram, Yijun Yu:
LIPSYNC.AI: A.I. Driven Lips and Tongue Animations Using Articulatory Phonetic Descriptors and FACS Blendshapes. SIGGRAPH ASIA Emerging Technologies 2021: 9:1-9:2 - [i1]Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras:
Analyzing Online Political Advertisements. CoRR abs/2105.04047 (2021)
2010 – 2019
- 2019
- [c4]David R. Buxton, Hamideh Kerdegari, Saeid Mokaram, Ben Mitchinson, Tony J. Prescott:
A Window into the Robot 'mind': Using a Graphical Real-Time Display to Provide Transparency of Function in a Brain-Based Robot. Living Machines 2019: 316-320 - 2017
- [c3]Iveta Eimontaite, Ian Gwilt, David Cameron, Jonathan M. Aitken, Joe Rolph, Saeid Mokaram, James Law:
Dynamic Graphical Signage Improves Response Time and Decreases Negative Attitudes Towards Robots in Human-Robot Co-working. HFR 2017: 139-149 - [c2]Saeid Mokaram, Roger K. Moore:
The Sheffield Search and Rescue corpus. ICASSP 2017: 5840-5844 - 2015
- [j2]Hamideh Kerdegari, Saeid Mokaram, Khairulmizam Samsudin, Abdul Rahman Ramli:
A pervasive neural network based fall detection system on smart phone. J. Ambient Intell. Smart Environ. 7(2): 221-230 (2015) - [c1]Saeid Mokaram, Roger K. Moore:
Speech-based location estimation of first responders in a simulated search and rescue scenario. INTERSPEECH 2015: 2734-2738 - 2013
- [j1]Hamideh Kerdegari, Khairulmizam Samsudin, Abdul Rahman Ramli, Saeid Mokaram:
Development of Wearable Human Fall Detection System using Multilayer Perceptron Neural Network. Int. J. Comput. Intell. Syst. 6(1): 127-136 (2013)
Coauthor Index
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