Pari Delir Haghighi
Cited by
Cited by
Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
PD Haghighi, F Burstein, A Zaslavsky, P Arbon
Decision Support Systems 54 (2), 1192-1204, 2013
Healthcare 4.0: A review of frontiers in digital health
PP Jayaraman, ARM Forkan, A Morshed, P Delir Haghighi, YB Kang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020
Reasoning about context in uncertain pervasive computing environments
P Delir Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber
Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich …, 2008
CFinder: An intelligent key concept finder from text for ontology development
YB Kang, PD Haghighi, F Burstein
Expert Systems with Applications 41 (9), 4494-4504, 2014
A graph-based hierarchical attention model for movement intention detection from EEG signals
D Zhang, L Yao, K Chen, S Wang, PD Haghighi, C Sullivan
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (11 …, 2019
Context-as-a-Service Platform: exchange and share context in an IoT ecosystem
A Hassani, A Medvedev, PD Haghighi, S Ling, M Indrawan-Santiago, ...
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
Mobile data mining for intelligent healthcare support
P Delir Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber
hicss, 1-10, 2009
An Evaluation of Data Stream Processing Systems for Data Driven Applications
J Samosir, M Indrawan-Santiago, PD Haghighi
Procedia Computer Science 80, 439-449, 2016
Open mobile miner: A toolkit for building situation-aware data mining applications
PD Haghighi, S Krishnaswamy, A Zaslavsky, MM Gaber, A Sinha, B Gillick
Journal of Organizational Computing and Electronic Commerce 23 (3), 224-248, 2013
Electronic skin wearable sensors for detecting lumbar–pelvic movements
Y Zhang, PD Haghighi, F Burstein, LW Yap, W Cheng, L Yao, F Cicuttini
Sensors 20 (5), 1510, 2020
Context-aware recruitment scheme for opportunistic mobile crowdsensing
A Hassani, PD Haghighi, PP Jayaraman
2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015
An evaluation of query languages for context-aware computing
PD Haghighi, A Zaslavsky, S Krishnaswamy
17th International Workshop on Database and Expert Systems Applications …, 2006
TaxoFinder: A Graph-based Approach for Taxonomy Learning
YB Kang, PD Haghighi, F Burstein
IEEE Transactions on Knowledge and Data Engineering, 2015
Topic modelling for identification of vaccine reactions in twitter
SK Habibabadi, PD Haghighi
Proceedings of the Australasian Computer Science Week Multiconference, 1-10, 2019
Context Definition and Query Language: Conceptual Specification, Implementation, and Evaluation
Hassani, A., Medvedev, A., Delir Haghighi, P., Ling, C., Zaslavsky, A ...
Sensors 19 (6), 2019
Context-aware adaptive data stream mining
PD Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber, S Loke
Intelligent Data Analysis 13 (3), 423-434, 2009
Advances in multimodal behavioral analytics for early dementia diagnosis: A review
C Palliya Guruge, S Oviatt, P Delir Haghighi, E Pritchard
Proceedings of the 2021 International Conference on Multimodal Interaction …, 2021
Here-n-now: A framework for context-aware mobile crowdsensing
PP Jayaraman, A Sinha, W Sherchan, S Krishnaswamy, A Zaslavsky, ...
Proc. of the tenth international conference on pervasive computing, 2012
Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter
P Delir Haghighi, YB Kang, R Buchbinder, F Burstein, S Whittle
JMIR Public Health and Surveillance 3 (1), 2017
A Crowd Monitoring Framework using Emotion Analysis of Social Media for Emergency Management in Mass Gatherings
MQ Ngo, PD Haghighi, F Burstein
26th Australasian Conference on Information Systems (ACIS), 2015
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