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- affiliation: Imperial College London, Department of Brain Sciences, London, UK
- affiliation: UK Dementia Research Institute, London, UK
- affiliation: University of Surrey, UK
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2020 – today
- 2025
[j49]Jingteng Li, Kimberley Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam M. Barnaghi, Neil Sebire:
Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning. BMC Medical Informatics Decis. Mak. 25(1): 45 (2025)- 2024
- [j48]Yushan Huang
, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi:
Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artif. Intell. Medicine 150: 102821 (2024) - [j47]Nivedita Bijlani, Oscar Mendez Maldonado, Ramin Nilforooshan, Payam M. Barnaghi, Samaneh Kouchaki:
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Comput. Biol. Medicine 183: 109287 (2024) - [j46]Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq:
A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia. IEEE Internet Things J. 11(2): 2244-2254 (2024) - [j45]Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi:
Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 7(1) (2024) - [c52]Nivedita Bijlani, Maowen Yin, Gustavo Carneiro, Payam M. Barnaghi, Samaneh Kouchaki:
Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. EMBC 2024: 1-5 - [c51]Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
Low-Energy On-Device Personalization for MCUs. SEC 2024: 45-58 - [i26]Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
MicroT: Low-Energy and Adaptive Models for MCUs. CoRR abs/2403.08040 (2024) - [i25]Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi:
Representation Learning of Daily Movement Data Using Text Encoders. CoRR abs/2405.04494 (2024) - [i24]Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi:
Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. CoRR abs/2406.17885 (2024) - [i23]Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi:
Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. CoRR abs/2411.17284 (2024) - 2023
- [j44]Maria R. Lima, Ting Su, Mélanie Jouaiti, Maitreyee Wairagkar, Paresh Malhotra, Eyal Soreq, Payam M. Barnaghi, Ravi Vaidyanathan:
Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring. IEEE Internet Things J. 10(21): 18537-18552 (2023) - [j43]Christine Hine, Ramin Nilforooshan, Payam M. Barnaghi:
Negotiating the capacities and limitations of sensor-mediated care in the home. J. Comput. Mediat. Commun. 28(5) (2023) - [c50]Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi:
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML 2023: 1103-1118 - [c49]Alexander Capstick, Payam M. Barnaghi:
Predicting Targets with Data from Non-Conforming Sources. Tiny Papers @ ICLR 2023 - [i22]Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi:
Information Theory Inspired Pattern Analysis for Time-series Data. CoRR abs/2302.11654 (2023) - [i21]Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq:
A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia. CoRR abs/2307.11126 (2023) - [i20]Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi:
Interpreting Differentiable Latent States for Healthcare Time-series Data. CoRR abs/2311.17560 (2023) - 2022
- [j42]Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyengar, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan:
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. IEEE Internet Things J. 9(5): 3174-3188 (2022) - [j41]Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp:
The effect of COVID-19 on the home behaviours of people affected by dementia. npj Digit. Medicine 5 (2022) - [j40]Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam M. Barnaghi, David J. Sharp, Ravi Vaidyanathan:
Conversational Affective Social Robots for Ageing and Dementia Support. IEEE Trans. Cogn. Dev. Syst. 14(4): 1378-1397 (2022) - [j39]Edith C. H. Ngai, Payam M. Barnaghi, Salil S. Kanhere, Victor C. M. Leung, Jiangchuan Liu:
Guest Editorial Special Issue on Green Communications and Networking With Machine Intelligence for Smart Cities. IEEE Trans. Green Commun. Netw. 6(3): 1588-1590 (2022) - [j38]Yulei Wu, Yi Pan, Payam M. Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang:
Editorial: Big data technologies and applications. Wirel. Networks 28(3): 1163-1167 (2022) - [c48]Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
Multimodal Federated Learning on IoT Data. IoTDI 2022: 43-54 - [c47]Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi:
Using Entropy Measures for Monitoring the Evolution of Activity Patterns. WF-IoT 2022: 1-6 - [i19]Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi:
Using Entropy Measures for Monitoring the Evolution of Activity Patterns. CoRR abs/2210.01736 (2022) - [i18]Alexander Capstick, Francesca Palermo, Payam M. Barnaghi:
Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. CoRR abs/2212.02895 (2022) - 2021
- [j37]Meikang Qiu, Bhavani Thuraisingham, Mahmoud Daneshmand, Huansheng Ning, Payam M. Barnaghi:
Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT. IEEE Internet Things J. 8(12): 9460-9462 (2021) - [j36]Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo:
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8(16): 12826-12846 (2021) - [j35]Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam M. Barnaghi, Ravi Vaidyanathan:
Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors 21(24): 8409 (2021) - [j34]Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar:
A New Pattern Representation Method for Time-Series Data. IEEE Trans. Knowl. Data Eng. 33(7): 2818-2832 (2021) - [j33]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4243-4252 (2021) - [e8]Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani:
The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings. Lecture Notes in Computer Science 12922, Springer 2021, ISBN 978-3-030-88360-7 [contents] - [i17]Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi:
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia. CoRR abs/2101.07007 (2021) - [i16]Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi:
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data. CoRR abs/2103.02349 (2021) - [i15]Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi:
Multimodal Federated Learning. CoRR abs/2109.04833 (2021) - [i14]Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi:
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. CoRR abs/2110.09868 (2021) - 2020
- [j32]Ruidong Li, Houbing Song, Jiannong Cao, Payam M. Barnaghi, Jie Li, Constandinos X. Mavromoustakis:
Big Data Intelligent Networking. IEEE Netw. 34(4): 6-7 (2020) - [j31]Masoud Hassanpour, Seyed Amir Hoseinitabatabaei, Payam M. Barnaghi, Rahim Tafazolli:
Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification. ACM Trans. Web 14(1): 4:1-4:28 (2020) - [c46]Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, Payam M. Barnaghi:
Privacy-preserving activity and health monitoring on databox. EdgeSys@EuroSys 2020: 49-54 - [c45]Valentinas Janeiko, Roonak Rezvani, Narges Pourshahrokhi, Shirin Enshaeifar, Marianne Krogbæk, Sebastian Holmgard Christophersen, Tarek Elsaleh, Payam M. Barnaghi:
Enabling Context-Aware Search using Extracted Insights from IoT Data Streams. GIoTS 2020: 1-6 - [c44]Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi:
Verifying the Causes of Adversarial Examples. ICPR 2020: 6750-6757 - [c43]Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill:
A Digital Platform for Remote Healthcare Monitoring. WWW (Companion Volume) 2020: 203-206 - [i13]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Task Conditional Neural Networks. CoRR abs/2005.05080 (2020) - [i12]Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi:
Verifying the Causes of Adversarial Examples. CoRR abs/2010.09633 (2020) - [i11]Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi:
Semi-supervised Federated Learning for Activity Recognition. CoRR abs/2011.00851 (2020) - [i10]Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill:
Machine learning for risk analysis of Urinary Tract Infection in people with dementia. CoRR abs/2011.13916 (2020) - [i9]Maitreyee Wairagkar, Maria R. Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C. Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam M. Barnaghi, Chris Melhuish, Ravi Vaidyanathan:
Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. CoRR abs/2012.04511 (2020)
2010 – 2019
- 2019
- [j30]Sefki Kolozali, María Bermúdez-Edo, Nazli FarajiDavar, Payam M. Barnaghi, Feng Gao, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tönjes:
Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet Things J. 6(2): 2651-2668 (2019) - [j29]Yasmin Fathy, Payam M. Barnaghi:
Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks. IEEE Internet Things J. 6(6): 10318-10331 (2019) - [j28]Linda van den Brink, Payam M. Barnaghi, Jeremy Tandy, Ghislain Atemezing, Rob Atkinson, Byron Cochrane, Yasmin Fathy, Raúl García-Castro, Armin Haller, Andreas Harth, Krzysztof Janowicz, Sefki Kolozali, Bart van Leeuwen, Maxime Lefrançois, Joshua Lieberman, Andrea Perego, Danh Le Phuoc, Bill Roberts, Kerry Taylor, Raphaël Troncy:
Best practices for publishing, retrieving, and using spatial data on the web. Semantic Web 10(1): 95-114 (2019) - [j27]Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli:
An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. IEEE Syst. J. 13(3): 2688-2699 (2019) - [c42]Roonak Rezvani, Shirin Enshaeifar, Payam M. Barnaghi:
Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. CSCloud/EdgeCom 2019: 177-182 - [c41]Tarek Elsaleh, María Bermúdez-Edo, Shirin Enshaeifar, Sahr Thomas Acton, Roonak Rezvani, Payam M. Barnaghi:
IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams. GIoTS 2019: 1-6 - [e7]Payam M. Barnaghi, Georg Gottlob, Yannis Manolopoulos, Theodoros Tzouramanis, Athena Vakali:
2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019. ACM 2019, ISBN 978-1-4503-6934-3 [contents] - [e6]Payam M. Barnaghi, Georg Gottlob, Dimitrios Katsaros, Yannis Manolopoulos, Rahul Pandey, Theodoros Tzouramanis, Athena Vakali:
2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019 - Companion Volume. ACM 2019, ISBN 978-1-4503-6988-6 [contents] - [i8]Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi:
Continual Learning in Deep Neural Network by Using a Kalman Optimiser. CoRR abs/1905.08119 (2019) - [i7]Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz:
Continual Learning Using Bayesian Neural Networks. CoRR abs/1910.04112 (2019) - 2018
- [j26]Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli:
Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT). ACM Comput. Surv. 51(2): 29:1-29:53 (2018) - [j25]Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4(3): 161-175 (2018) - [j24]Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, Andreas Markides, Tarek Elsaleh, Sahr Thomas Acton, Ramin Nilforooshan, Helen Rostill:
The Internet of Things for Dementia Care. IEEE Internet Comput. 22(1): 8-17 (2018) - [j23]Seyed Amir Hoseinitabatabaei, Yasmin Fathy, Payam M. Barnaghi, Chonggang Wang, Rahim Tafazolli:
A Novel Indexing Method for Scalable IoT Source Lookup. IEEE Internet Things J. 5(3): 2037-2054 (2018) - [j22]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams. IEEE Syst. J. 12(2): 1755-1766 (2018) - [j21]Aurora González-Vidal, Payam M. Barnaghi, Antonio F. Skarmeta:
BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Trans. Knowl. Data Eng. 30(11): 2051-2064 (2018) - [c40]Antonio F. Skarmeta, José Santa, Juan A. Martínez, Josiane Xavier Parreira, Payam M. Barnaghi, Shirin Enshaeifar, Michail J. Beliatis, Mirko A. Presser, Thorben Iggena, Marten Fischer, Ralf Tönjes, Martin Strohbach, Alessandro Sforzin, Hien Thi Thu Truong:
IoTCrawler: Browsing the Internet of Things. GIoTS 2018: 1-6 - [c39]Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. ICASSP 2018: 4244-4248 - [c38]Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli:
An adaptive method for data reduction in the Internet of Things. WF-IoT 2018: 729-735 - [c37]Payam M. Barnaghi, Jean-Paul Calbimonte, Daniele Dell'Aglio:
Web Stream Processing Workshop Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1831-1832 - [c36]María Bermúdez-Edo, Payam M. Barnaghi:
Spatio-Temporal Analysis for Smart City Data. WWW (Companion Volume) 2018: 1841-1845 - [i6]Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for Internet of Things data analysis: A survey. CoRR abs/1802.06305 (2018) - [i5]Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi:
Kalman Filter Modifier for Neural Networks in Non-stationary Environments. CoRR abs/1811.02361 (2018) - 2017
- [j20]Emmanuel Bertin, Markus Hofmann, Payam M. Barnaghi:
Virtualized environments, from connectivity to services. Ann. des Télécommunications 72(7-8): 385-386 (2017) - [j19]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet Things J. 4(1): 64-74 (2017) - [j18]María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry Taylor:
IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics. Pers. Ubiquitous Comput. 21(3): 475-487 (2017) - [j17]Masoud Hasanpour, S. Shariat, Payam M. Barnaghi, Seyed Amir Hoseinitabatabaei, Seiamak Vahid, Rahim Tafazolli:
Quantum load balancing in ad hoc networks. Quantum Inf. Process. 16(6): 148 (2017) - [c35]Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Data analysis as a web service: A case study using IoT sensor data. ICASSP 2017: 6000-6004 - [c34]Alireza Ahrabian, Tarek Elsaleh, Yasmin Fathy, Payam M. Barnaghi:
Detecting changes in the variance of multi-sensory accelerometer data using MCMC. IEEE SENSORS 2017: 1-3 - [c33]Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli:
Distributed spatial indexing for the Internet of Things data management. IM 2017: 1246-1251 - [c32]Phillip Winderbank-Scott, Payam M. Barnaghi:
A Non-invasive Wireless Monitoring Device for Children and Infants in Pre-Hospital and Acute Hospital Environments. iThings/GreenCom/CPSCom/SmartData 2017: 591-597 - [c31]Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi:
Pattern Identification for State Prediction in Dynamic Data Streams. iThings/GreenCom/CPSCom/SmartData 2017: 800-805 - [e5]Daniele Dell'Aglio, Darko Anicic, Payam M. Barnaghi, Emanuele Della Valle, Deborah L. McGuinness, Loris Bozzato, Thomas Eiter, Martin Homola, Daniele Porello:
Joint Proceedings of the Web Stream Processing workshop (WSP 2017) and the 2nd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2017) co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 22nd, 2017. CEUR Workshop Proceedings 1936, CEUR-WS.org 2017 [contents] - [i4]Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi:
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. CoRR abs/1705.09975 (2017) - [i3]Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi:
Volatility Based Change Detection in Data Streams. CoRR abs/1709.03105 (2017) - [i2]Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi:
Segment Parameter Labelling in MCMC Mean-Shift Change Detection. CoRR abs/1710.09657 (2017) - 2016
- [j16]Dan Puiu, Payam M. Barnaghi, Ralf Toenjes, Daniel Kuemper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli FarajiDavar, Feng Gao, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes:
CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 4: 1086-1108 (2016) - [j15]Payam M. Barnaghi, Amit P. Sheth:
On Searching the Internet of Things: Requirements and Challenges. IEEE Intell. Syst. 31(6): 71-75 (2016) - [j14]Sefki Kolozali, Daniel Puschmann, María Bermúdez-Edo, Payam M. Barnaghi:
On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet Things J. 3(6): 1084-1098 (2016) - [j13]Frieder Ganz, Payam M. Barnaghi, François Carrez:
Automated Semantic Knowledge Acquisition From Sensor Data. IEEE Syst. J. 10(3): 1214-1225 (2016) - [j12]Xiulei Liu, Bo Cheng, Jianxin Liao, Payam M. Barnaghi, Li Wan, Jingyu Wang:
OMI-DL: An Ontology Matching Framework. IEEE Trans. Serv. Comput. 9(4): 580-593 (2016) - [c30]María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry L. Taylor:
IoT-Lite: A Lightweight Semantic Model for the Internet of Things. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 90-97 - [c29]Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli:
Marginal distribution clustering of multi-variate streaming IoT data. WF-IoT 2016: 466-471 - [c28]Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi:
Physical-cyber-social similarity analysis in smart cities. WF-IoT 2016: 484-489 - [c27]Yasmin Fathy, Payam M. Barnaghi, Shirin Enshaeifar, Rahim Tafazolli:
A distributed in-network indexing mechanism for the Internet of Things. WF-IoT 2016: 585-590 - [e4]Tope Omitola, John G. Breslin, Payam M. Barnaghi:
Proceedings of the Sixth Workshop on Semantics for Smarter Cities a Workshop at the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, PA, USA, October 11-12, 2015. CEUR Workshop Proceedings 1630, CEUR-WS.org 2016 [contents] - 2015
- [j11]Payam M. Barnaghi, Amit P. Sheth, Vivek K. Singh, Manfred Hauswirth:
Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Comput. 19(3): 7-11 (2015) - [j10]Frieder Ganz, Daniel Puschmann, Payam M. Barnaghi, François Carrez:
A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. IEEE Internet Things J. 2(4): 340-354 (2015) - [j9]Payam M. Barnaghi, María Bermúdez-Edo, Ralf Tönjes:
Challenges for Quality of Data in Smart Cities. ACM J. Data Inf. Qual. 6(2-3): 6:1-6:4 (2015) - [j8]Pramod Anantharam, Payam M. Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth:
Extracting City Traffic Events from Social Streams. ACM Trans. Intell. Syst. Technol. 6(4): 43:1-43:27 (2015) - 2014
- [j7]Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner:
Probabilistic Matchmaking Methods for Automated Service Discovery. IEEE Trans. Serv. Comput. 7(4): 654-666 (2014) - [c26]Sefki Kolozali, María Bermúdez-Edo, Daniel Puschmann, Frieder Ganz, Payam M. Barnaghi:
A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. iThings/GreenCom/CPSCom 2014: 215-222 - [c25]Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi:
A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge. TC/SSN@ISWC 2014: 83-88 - [c24]Frieder Ganz, Payam M. Barnaghi, François Carrez:
Multi-resolution data communication in wireless sensor networks. WF-IoT 2014: 571-574 - [e3]Tope Omitola, John G. Breslin, Payam M. Barnaghi:
Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014. CEUR Workshop Proceedings 1280, CEUR-WS.org 2014 [contents] - 2013
- [j6]Payam M. Barnaghi, Amit P. Sheth, Cory A. Henson:
From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intell. Syst. 28(6): 6-11 (2013) - [c23]Payam M. Barnaghi, Wei Wang, Lijun Dong, Chonggang Wang:
A Linked-Data Model for Semantic Sensor Streams. GreenCom/iThings/CPScom 2013: 468-475 - [c22]Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Suparna De, Klaus Moessner:
Composition of services in pervasive environments: A Divide and Conquer approach. ISCC 2013: 226-232 - [c21]Pramod Anantharam, Payam M. Barnaghi, Amit P. Sheth:
Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception.