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M. Sazzad Hussain
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2020 – today
- 2023
- [j4]Andreas Cebulla
, Zygmunt L. Szpak
Applying ethics to AI in the workplace: the design of a scorecard for Australian workplace health and safety. AI Soc. 38(2): 919-935 (2023) - 2021
- [c19]Mahnoosh Kholghi, David Silvera-Tawil, M. Sazzad Hussain, Qing Zhang, Marlien Varnfield, Liesel Higgins, Mohanraj Karunanithi:
The Significance and Limitations of Monitoring Sleep during Pregnancy. EMBC 2021: 6826-6830 - 2020
- [c18]Geremy Farr-Wharton, Jane Li, M. Sazzad Hussain, Jill Freyne:
Mobile Supported Health Services: Experiences in Orthopaedic Care. CBMS 2020: 362-367
2010 – 2019
- 2019
- [c17]Sazzat Hossain, M. Sazzad Hussain, Romana Rahman Ema, Songita Dutta, Suborna Sarkar, Tajul Islam:
Detecting Black hole attack by selecting appropriate routes for authentic message passing using SHA-3 and Diffie-Hellman algorithm in AODV and AOMDV routing protocols in MANET. ICCCNT 2019: 1-7 - 2017
- [j3]Rafael A. Calvo, David N. Milne
Natural language processing in mental health applications using non-clinical texts. Nat. Lang. Eng. 23(5): 649-685 (2017) - [c16]M. Sazzad Hussain
Tune your sun right: persuasive app towards healthy & safe sun exposure. OZCHI 2017: 361-365 - 2016
- [c15]M. Sazzad Hussain, Liam Cripwell, Shlomo Berkovsky
Promoting UV Exposure Awareness with Persuasive, Wearable Technologies. HIC 2016: 48-54 - 2015
- [j2]Jason M. Harley, François Bouchet
A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Comput. Hum. Behav. 48: 615-625 (2015) - [c14]Mohammed Sazzad Hussain, Rafael A. Calvo, Louise A. Ellis
NLG-Based Moderator Response Generator to Support Mental Health. CHI Extended Abstracts 2015: 1385-1390 - 2014
- [j1]M. Sazzad Hussain, Rafael A. Calvo, Fang Chen
Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion During Affective Interference. Interact. Comput. 26(3): 256-268 (2014) - [c13]Hamed Monkaresi, M. Sazzad Hussain, Rafael A. Calvo:
Using Remote Heart Rate Measurement for Affect Detection. FLAIRS 2014 - 2013
- [b1]Mohammed Sazzad Hussain:
Automatic detection of affect and cognitive load from multimodal information. University of Sydney, Australia, 2013 - 2012
- [c12]Hamed Monkaresi
A Dynamic Approach for Detecting Naturalistic Affective States from Facial Videos during HCI. Australasian Conference on Artificial Intelligence 2012: 170-181 - [c11]M. Sazzad Hussain, Hamed Monkaresi, Rafael A. Calvo:
Combining Classifiers in Multimodal Affect Detection. AusDM 2012: 103-108 - [c10]Hamed Monkaresi
Automatic natural expression recognition using head movement and skin color features. AVI 2012: 657-660 - [c9]M. Sazzad Hussain, Hamed Monkaresi
Categorical vs. Dimensional Representations in Multimodal Affect Detection during Learning. ITS 2012: 78-83 - [c8]Hamed Monkaresi
Classification of affects using head movement, skin color features and physiological signals. SMC 2012: 2664-2669 - 2011
- [c7]Omar AlZoubi
Affective Modeling from Multichannel Physiology: Analysis of Day Differences. ACII (1) 2011: 4-13 - [c6]Rafael A. Calvo
Siento: An Experimental Platform for Behavior and Psychophysiology in HCI. ACII (2) 2011: 307-308 - [c5]M. Sazzad Hussain, Rafael A. Calvo
Hybrid Fusion Approach for Detecting Affects from Multichannel Physiology. ACII (1) 2011: 568-577 - [c4]M. Sazzad Hussain, Omar AlZoubi
Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor. AIED 2011: 131-138 - [c3]M. Sazzad Hussain, Rafael A. Calvo
Multimodal Affect Detection from Physiological and Facial Features during ITS Interaction. AIED 2011: 472-474 - [c2]Jie Xu, Yang Wang
Pupillary response based cognitive workload index under luminance and emotional changes. CHI Extended Abstracts 2011: 1627-1632 - 2010
- [c1]Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi
The Impact of System Feedback on Learners' Affective and Physiological States. Intelligent Tutoring Systems (1) 2010: 264-273
Coauthor Index
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