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
Mobile data mining for intelligent healthcare support
P Delir Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber
hicss, 1-10, 2009
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
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
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
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
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
Topic modelling for identification of vaccine reactions in twitter
SK Habibabadi, PD Haghighi
Proceedings of the Australasian Computer Science Week Multiconference, 1-10, 2019
TaxoFinder: A Graph-based Approach for Taxonomy Learning
YB Kang, PD Haghighi, F Burstein
IEEE Transactions on Knowledge and Data Engineering, 2015
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 adaptive data stream mining
PD Haghighi, A Zaslavsky, S Krishnaswamy, MM Gaber, S Loke
Intelligent Data Analysis 13 (3), 423-434, 2009
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
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
Data ingestion and storage performance of iot platforms: Study of openiot
A Medvedev, A Hassani, A Zaslavsky, PP Jayaraman, ...
Interoperability and Open-Source Solutions for the Internet of Things …, 2017
Open mobile miner: a toolkit for mobile data stream mining
S Krishnaswamy, M Gaber, M Harbach, C Hugues, A Sinha, B Gillick, ...
ACM KDD’09, 2009
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
The system can't perform the operation now. Try again later.
Articles 1–20