Payam M. Barnaghi

147 papers A* 2B 4C 5Misc 4Journal 82Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modelling time-series data generation with diffusion models for triaxial data. Appl. Soft Comput. Francisco M. García-Moreno, María José Rodríguez-Fórtiz, Payam M. Barnaghi, María Bermúdez-Edo
2025	A*	`conf`	A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle. ICML Yu Chen, Nathalia Céspedes, Payam M. Barnaghi
2025	J	`jnl`	Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model. CoRR Jin Cui, Alexander Capstick, Payam M. Barnaghi, Gregory Scott
2025	A*	`conf`	AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. ICML Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi
2025	J	`jnl`	Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning. BMC Medical Informatics Decis. Mak. Jingteng Li, Kimberley Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam M. Barnaghi, Neil Sebire
2025	J	`jnl`	Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment. CoRR Maria R. Lima, Alexander Capstick, Fatemeh Geranmayeh, Ramin Nilforooshan, Maja J. Mataric, Ravi Vaidyanathan, Payam M. Barnaghi
2025	J	`jnl`	Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study. npj Digit. Medicine Alexander Smith, Thomas Beaney, Carinna Hockham, Bowen Su, Paul Elliott, Laura Downey, Spiros Denaxas, Payam M. Barnaghi, Abbas Dehghan, Ioanna Tzoulaki
2025	J	`jnl`	Training neural networks on data sources with unknown reliability. Inf. Fusion Alexander Capstick, Francesca Palermo, Tianyu Cui, Payam M. Barnaghi
2025	J	`jnl`	Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia. CoRR Jin Cui, Alexander Capstick, Payam M. Barnaghi, Gregory Scott
2025	J	`jnl`	Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. CoRR Kexin Fan, Alexander Capstick, Ramin Nilforooshan, Payam M. Barnaghi
2024	J	`jnl`	A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia. IEEE Internet Things J. Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq
2024	J	`jnl`	Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artif. Intell. Medicine Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
2024	—	`conf`	Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. EMBC Nivedita Bijlani, Maowen Yin, Gustavo Carneiro, Payam M. Barnaghi, Samaneh Kouchaki
2024	J	`jnl`	Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 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
2024	J	`jnl`	Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. CoRR Yu Chen, Tianyu Cui, Alexander Capstick, Nan Fletcher-Lloyd, Payam M. Barnaghi
2024	Misc	`conf`	Low-Energy On-Device Personalization for MCUs. SEC Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
2024	J	`jnl`	MicroT: Low-Energy and Adaptive Models for MCUs. CoRR Yushan Huang, Ranya Aloufi, Xavier F. Cadet, Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
2024	J	`jnl`	Representation Learning of Daily Movement Data Using Text Encoders. CoRR Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi
2024	C	`conf`	Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. HealthCom Kexin Fan, Alexander Capstick, Ramin Nilforooshan, Payam M. Barnaghi
2024	J	`jnl`	Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. CoRR Alexander Capstick, Rahul G. Krishnan, Payam M. Barnaghi
2024	J	`jnl`	Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Comput. Biol. Medicine Nivedita Bijlani, Oscar Mendez, Ramin Nilforooshan, Payam M. Barnaghi, Samaneh Kouchaki
2024	—	`conf`	Welcome Message from the Chairs. COINS Amit Singh, Payam M. Barnaghi, Geoff V. Merrett, Eiman Kanjo, Rishad A. Shafik, Aurora Gil de Castro, Florenc Demrozi, Federica Zonzini, Amna Anwar, Bipin Rajendran, Osvaldo Simeone
2023	J	`jnl`	A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living with Dementia. CoRR Nan Fletcher-Lloyd, Alina-Irina Serban, Magdalena Anita Kolanko, David Wingfield, Danielle Wilson, Ramin Nilforooshan, Payam M. Barnaghi, Eyal Soreq
2023	J	`jnl`	Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring. IEEE Internet Things J. Maria R. Lima, Ting Su, Mélanie Jouaiti, Maitreyee Wairagkar, Paresh Malhotra, Eyal Soreq, Payam M. Barnaghi, Ravi Vaidyanathan
2023	C	`conf`	Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi
2023	J	`jnl`	Information Theory Inspired Pattern Analysis for Time-series Data. CoRR Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam M. Barnaghi
2023	J	`jnl`	Interpreting Differentiable Latent States for Healthcare Time-series Data. CoRR Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi
2023	J	`jnl`	Negotiating the capacities and limitations of sensor-mediated care in the home. J. Comput. Mediat. Commun. Christine Hine, Ramin Nilforooshan, Payam M. Barnaghi
2023	—	`conf`	Predicting Targets with Data from Non-Conforming Sources. Tiny Papers @ ICLR Alexander Capstick, Payam M. Barnaghi
2022	J	`jnl`	Conversational Affective Social Robots for Ageing and Dementia Support. IEEE Trans. Cogn. Dev. Syst. Maria R. Lima, Maitreyee Wairagkar, Manish Gupta, Ferdinando Rodriguez y Baena, Payam M. Barnaghi, David J. Sharp, Ravi Vaidyanathan
2022	J	`jnl`	Editorial: Big data technologies and applications. Wirel. Networks Yulei Wu, Yi Pan, Payam M. Barnaghi, Zhiyuan Tan, Jingguo Ge, Hao Wang
2022	J	`jnl`	Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. IEEE Internet Things J. 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
2022	J	`jnl`	Guest Editorial Special Issue on Green Communications and Networking With Machine Intelligence for Smart Cities. IEEE Trans. Green Commun. Netw. Edith C. H. Ngai, Payam M. Barnaghi, Salil S. Kanhere, Victor C. M. Leung, Jiangchuan Liu
2022	J	`jnl`	Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. CoRR Alexander Capstick, Francesca Palermo, Payam M. Barnaghi
2022	—	`conf`	Multimodal Federated Learning on IoT Data. IoTDI Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
2022	J	`jnl`	The effect of COVID-19 on the home behaviours of people affected by dementia. npj Digit. Medicine Alina-Irina Serban, Eyal Soreq, Payam M. Barnaghi, Sarah Daniels, Rafael A. Calvo, David J. Sharp
2022	—	`conf`	Using Entropy Measures for Monitoring the Evolution of Activity Patterns. WF-IoT Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi
2022	J	`jnl`	Using Entropy Measures for Monitoring the Evolution of Activity Patterns. CoRR Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam M. Barnaghi
2021	J	`jnl`	A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data. CoRR Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi
2021	J	`jnl`	A New Pattern Representation Method for Time-Series Data. IEEE Trans. Knowl. Data Eng. Roonak Rezvani, Payam M. Barnaghi, Shirin Enshaeifar
2021	J	`jnl`	An attention model to analyse the risk of agitation and urinary tract infections in people with dementia. CoRR Honglin Li, Roonak Rezvani, Magdalena Anita Kolanko, David J. Sharp, Maitreyee Wairagkar, Ravi Vaidyanathan, Ramin Nilforooshan, Payam M. Barnaghi
2021	J	`jnl`	Continual Learning Using Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
2021	J	`jnl`	Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. CoRR Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi
2021	J	`jnl`	Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors Rajesh Amerineni, Lalit Gupta, Nathan Steadman, Keshwyn Annauth, Charles Burr, Samuel Wilson, Payam M. Barnaghi, Ravi Vaidyanathan
2021	J	`jnl`	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. 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
2021	J	`jnl`	Multimodal Federated Learning. CoRR Yuchen Zhao, Payam M. Barnaghi, Hamed Haddadi
2021	J	`jnl`	Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT. IEEE Internet Things J. Meikang Qiu, Bhavani Thuraisingham, Mahmoud Daneshmand, Huansheng Ning, Payam M. Barnaghi
2021	Misc	`ed.`	The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings ISWC Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani
2020	—	`conf`	A Digital Platform for Remote Healthcare Monitoring. WWW (Companion Volume) Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill
2020	J	`jnl`	Big Data Intelligent Networking. IEEE Netw. Ruidong Li, Houbing Song, Jiannong Cao, Payam M. Barnaghi, Jie Li, Constandinos X. Mavromoustakis
2020	J	`jnl`	Continual Learning Using Task Conditional Neural Networks. CoRR Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
2020	J	`jnl`	Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. CoRR 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
2020	—	`conf`	Enabling Context-Aware Search using Extracted Insights from IoT Data Streams. GIoTS Valentinas Janeiko, Roonak Rezvani, Narges Pourshahrokhi, Shirin Enshaeifar, Marianne Krogbæk, Sebastian Holmgard Christophersen, Tarek Elsaleh, Payam M. Barnaghi
2020	J	`jnl`	Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification. ACM Trans. Web Masoud Hassanpour, Seyed Amir Hoseinitabatabaei, Payam M. Barnaghi, Rahim Tafazolli
2020	J	`jnl`	Machine learning for risk analysis of Urinary Tract Infection in people with dementia. CoRR Honglin Li, Payam M. Barnaghi, Severin Skillman, David J. Sharp, Ramin Nilforooshan, Helen Rostill
2020	—	`conf`	Privacy-preserving activity and health monitoring on databox. EdgeSys@EuroSys Yuchen Zhao, Hamed Haddadi, Severin Skillman, Shirin Enshaeifar, Payam M. Barnaghi
2020	J	`jnl`	Semi-supervised Federated Learning for Activity Recognition. CoRR Yuchen Zhao, Hanyang Liu, Honglin Li, Payam M. Barnaghi, Hamed Haddadi
2020	B	`conf`	Verifying the Causes of Adversarial Examples. ICPR Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi
2020	J	`jnl`	Verifying the Causes of Adversarial Examples. CoRR Honglin Li, Yifei Fan, Frieder Ganz, Anthony J. Yezzi, Payam M. Barnaghi
2019	B	`ed.`	2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019 WI Payam M. Barnaghi, Georg Gottlob, Yannis Manolopoulos, Theodoros Tzouramanis, Athena Vakali
2019	—	`ed.`	2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019, Thessaloniki, Greece, October 14-17, 2019 - Companion Volume WI (Companion) Payam M. Barnaghi, Georg Gottlob, Dimitrios Katsaros, Yannis Manolopoulos, Rahul Pandey, Theodoros Tzouramanis, Athena Vakali
2019	J	`jnl`	An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. IEEE Syst. J. Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
2019	J	`jnl`	Best practices for publishing, retrieving, and using spatial data on the web. Semantic Web 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
2019	J	`jnl`	Continual Learning Using Bayesian Neural Networks. CoRR Honglin Li, Payam M. Barnaghi, Shirin Enshaeifar, Frieder Ganz
2019	J	`jnl`	Continual Learning in Deep Neural Network by Using a Kalman Optimiser. CoRR Honglin Li, Shirin Enshaeifar, Frieder Ganz, Payam M. Barnaghi
2019	—	`conf`	IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams. GIoTS Tarek Elsaleh, María Bermúdez-Edo, Shirin Enshaeifar, Sahr Thomas Acton, Roonak Rezvani, Payam M. Barnaghi
2019	—	`conf`	Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. CSCloud/EdgeCom Roonak Rezvani, Shirin Enshaeifar, Payam M. Barnaghi
2019	J	`jnl`	Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet Things J. 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
2019	J	`jnl`	Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks. IEEE Internet Things J. Yasmin Fathy, Payam M. Barnaghi
2018	J	`jnl`	A Novel Indexing Method for Scalable IoT Source Lookup. IEEE Internet Things J. Seyed Amir Hoseinitabatabaei, Yasmin Fathy, Payam M. Barnaghi, Chonggang Wang, Rahim Tafazolli
2018	—	`conf`	An adaptive method for data reduction in the Internet of Things. WF-IoT Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
2018	J	`jnl`	BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Trans. Knowl. Data Eng. Aurora González-Vidal, Payam M. Barnaghi, Antonio F. Skarmeta
2018	—	`conf`	IoTCrawler: Browsing the Internet of Things. GIoTS 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
2018	J	`jnl`	Kalman Filter Modifier for Neural Networks in Non-stationary Environments. CoRR Honglin Li, Frieder Ganz, Shirin Enshaeifar, Payam M. Barnaghi
2018	J	`jnl`	Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT). ACM Comput. Surv. Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
2018	J	`jnl`	Machine learning for Internet of Things data analysis: A survey. CoRR Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
2018	J	`jnl`	Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth
2018	Misc	`conf`	Segment Parameter Labelling in MCMC Mean-Shift Change Detection. ICASSP Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
2018	—	`conf`	Spatio-Temporal Analysis for Smart City Data. WWW (Companion Volume) María Bermúdez-Edo, Payam M. Barnaghi
2018	J	`jnl`	The Internet of Things for Dementia Care. IEEE Internet Comput. Shirin Enshaeifar, Payam M. Barnaghi, Severin Skillman, Andreas Markides, Tarek Elsaleh, Sahr Thomas Acton, Ramin Nilforooshan, Helen Rostill
2018	J	`jnl`	Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams. IEEE Syst. J. Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
2018	—	`conf`	Web Stream Processing Workshop Chairs' Welcome & Organization. WWW (Companion Volume) Payam M. Barnaghi, Jean-Paul Calbimonte, Daniele Dell'Aglio
2017	J	`jnl`	A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. CoRR Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
2017	—	`conf`	A Non-invasive Wireless Monitoring Device for Children and Infants in Pre-Hospital and Acute Hospital Environments. iThings/GreenCom/CPSCom/SmartData Phillip Winderbank-Scott, Payam M. Barnaghi
2017	J	`jnl`	Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet Things J. Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
2017	Misc	`conf`	Data analysis as a web service: A case study using IoT sensor data. ICASSP Alireza Ahrabian, Sefki Kolozali, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
2017	—	`conf`	Detecting changes in the variance of multi-sensory accelerometer data using MCMC. IEEE SENSORS Alireza Ahrabian, Tarek Elsaleh, Yasmin Fathy, Payam M. Barnaghi
2017	B	`conf`	Distributed spatial indexing for the Internet of Things data management. IM Yasmin Fathy, Payam M. Barnaghi, Rahim Tafazolli
2017	J	`jnl`	IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics. Pers. Ubiquitous Comput. María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry Taylor
2017	—	`ed.`	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. WSP/WOMoCoE@ISWC Daniele Dell'Aglio, Darko Anicic, Payam M. Barnaghi, Emanuele Della Valle, Deborah L. McGuinness, Loris Bozzato, Thomas Eiter, Martin Homola, Daniele Porello
2017	—	`conf`	Pattern Identification for State Prediction in Dynamic Data Streams. iThings/GreenCom/CPSCom/SmartData Shirin Enshaeifar, Seyed Amir Hoseinitabatabaei, Alireza Ahrabian, Payam M. Barnaghi
2017	J	`jnl`	Quantum load balancing in ad hoc networks. Quantum Inf. Process. Masoud Hasanpour, S. Shariat, Payam M. Barnaghi, Seyed Amir Hoseinitabatabaei, Seiamak Vahid, Rahim Tafazolli
2017	J	`jnl`	Segment Parameter Labelling in MCMC Mean-Shift Change Detection. CoRR Alireza Ahrabian, Shirin Enshaeifar, Clive Cheong Took, Payam M. Barnaghi
2017	J	`jnl`	Virtualized environments, from connectivity to services. Ann. des Télécommunications Emmanuel Bertin, Markus Hofmann, Payam M. Barnaghi
2017	J	`jnl`	Volatility Based Change Detection in Data Streams. CoRR Alireza Ahrabian, Nazli FarajiDavar, Clive Cheong Took, Payam M. Barnaghi
2016	—	`conf`	A distributed in-network indexing mechanism for the Internet of Things. WF-IoT Yasmin Fathy, Payam M. Barnaghi, Shirin Enshaeifar, Rahim Tafazolli
2016	J	`jnl`	Automated Semantic Knowledge Acquisition From Sensor Data. IEEE Syst. J. Frieder Ganz, Payam M. Barnaghi, François Carrez
2016	J	`jnl`	CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 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
2016	—	`conf`	IoT-Lite: A Lightweight Semantic Model for the Internet of Things. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld María Bermúdez-Edo, Tarek Elsaleh, Payam M. Barnaghi, Kerry L. Taylor
2016	—	`conf`	Marginal distribution clustering of multi-variate streaming IoT data. WF-IoT Daniel Puschmann, Payam M. Barnaghi, Rahim Tafazolli
2016	J	`jnl`	OMI-DL: An Ontology Matching Framework. IEEE Trans. Serv. Comput. Xiulei Liu, Bo Cheng, Jianxin Liao, Payam M. Barnaghi, Li Wan, Jingyu Wang
2016	J	`jnl`	On Searching the Internet of Things: Requirements and Challenges. IEEE Intell. Syst. Payam M. Barnaghi, Amit P. Sheth
2016	J	`jnl`	On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet Things J. Sefki Kolozali, Daniel Puschmann, María Bermúdez-Edo, Payam M. Barnaghi
2016	—	`conf`	Physical-cyber-social similarity analysis in smart cities. WF-IoT Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
2016	—	`ed.`	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. S4SC Tope Omitola, John G. Breslin, Payam M. Barnaghi
2015	J	`jnl`	A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. IEEE Internet Things J. Frieder Ganz, Daniel Puschmann, Payam M. Barnaghi, François Carrez
2015	J	`jnl`	Challenges for Quality of Data in Smart Cities. ACM J. Data Inf. Qual. Payam M. Barnaghi, María Bermúdez-Edo, Ralf Tönjes
2015	J	`jnl`	Extracting City Traffic Events from Social Streams. ACM Trans. Intell. Syst. Technol. Pramod Anantharam, Payam M. Barnaghi, Krishnaprasad Thirunarayan, Amit P. Sheth
2015	J	`jnl`	Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Comput. Payam M. Barnaghi, Amit P. Sheth, Vivek K. Singh, Manfred Hauswirth
2014	—	`conf`	A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. iThings/GreenCom/CPSCom Sefki Kolozali, María Bermúdez-Edo, Daniel Puschmann, Frieder Ganz, Payam M. Barnaghi
2014	—	`conf`	A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge. TC/SSN@ISWC Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi
2014	—	`conf`	Multi-resolution data communication in wireless sensor networks. WF-IoT Frieder Ganz, Payam M. Barnaghi, François Carrez
2014	J	`jnl`	Probabilistic Matchmaking Methods for Automated Service Discovery. IEEE Trans. Serv. Comput. Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner
2014	—	`ed.`	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. S4SC@ISWC Tope Omitola, John G. Breslin, Payam M. Barnaghi
2013	—	`conf`	A Linked-Data Model for Semantic Sensor Streams. GreenCom/iThings/CPScom Payam M. Barnaghi, Wei Wang, Lijun Dong, Chonggang Wang
2013	C	`conf`	Composition of services in pervasive environments: A Divide and Conquer approach. ISCC Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Suparna De, Klaus Moessner
2013	—	`conf`	Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception. WIMS Pramod Anantharam, Payam M. Barnaghi, Amit P. Sheth
2013	J	`jnl`	From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intell. Syst. Payam M. Barnaghi, Amit P. Sheth, Cory A. Henson
2013	C	`conf`	Open services for IoT cloud applications in the future internet. WOWMOM Martin Serrano, Hoan Quoc Nguyen-Mau, Manfred Hauswirth, Wei Wang, Payam M. Barnaghi, Philippe Cousin
2013	J	`jnl`	Physical-Cyber-Social Computing (Dagstuhl Reports 13402). Dagstuhl Reports Amit P. Sheth, Payam M. Barnaghi, Markus Strohmaier, Ramesh C. Jain, Steffen Staab
2013	—	`ed.`	Proceedings of the 6th International Workshop on Semantic Sensor Networks co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 22nd, 2013. SSN@ISWC Óscar Corcho, Cory A. Henson, Payam M. Barnaghi
2012	—	`conf`	A Hybrid Semantic Matchmaker for IoT Services. GreenCom Gilbert Cassar, Payam M. Barnaghi, Wei Wang, Klaus Moessner
2012	—	`conf`	A Resource Mobility Scheme for Service-Continuity in the Internet of Things. GreenCom Frieder Ganz, Ruidong Li, Payam M. Barnaghi, Hiroaki Harai
2012	—	`conf`	A test-driven approach for life cycle management of internet of things enabled services. Future Network & Mobile Summit Ralf Tönjes, Eike Steffen Reetz, Klaus Moessner, Payam M. Barnaghi
2012	J	`jnl`	An Internet of Things Platform for Real-World and Digital Objects. Scalable Comput. Pract. Exp. Suparna De, Tarek Elsaleh, Payam M. Barnaghi, Stefan Meissner
2012	J	`jnl`	Semantics for the Internet of Things: Early Progress and Back to the Future. Int. J. Semantic Web Inf. Syst. Payam M. Barnaghi, Wei Wang, Cory A. Henson, Kerry Taylor
2012	J	`jnl`	The SSN ontology of the W3C semantic sensor network incubator group. J. Web Semant. Michael Compton, Payam M. Barnaghi, Luis Bermudez, Raul Garcia-Castro, Óscar Corcho, Simon J. D. Cox, John B. Graybeal, Manfred Hauswirth, Cory A. Henson, Arthur Herzog, Vincent A. Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin R. Page, Alexandre Passant, Amit P. Sheth, Kerry Taylor
2011	B	`conf`	A Probabilistic Latent Factor approach to service ranking. ICCP Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner
2011	—	`conf`	A mediated gossiping mechanism for large-scale sensor networks. GLOBECOM Workshops Frieder Ganz, Payam M. Barnaghi, François Carrez, Klaus Moessner
2011	—	`conf`	Context-aware management for sensor networks. COMSWARE Frieder Ganz, Payam M. Barnaghi, François Carrez, Klaus Moessner
2011	J	`jnl`	Rational Research model for ranking semantic entities. Inf. Sci. Wei Wang, Payam M. Barnaghi, Andrzej Bargiela
2011	C	`conf`	Service Modelling for Internet of Things. FedCSIS Suparna De, Payam M. Barnaghi, Martin Bauer, Stefan Meissner
2010	—	`conf`	Modeling of sensor data and context for the Real World Internet. PerCom Workshops Claudia Villalonga, Martin Bauer, Vincent A. Huang, Jesús Bernat, Payam M. Barnaghi
2010	—	`conf`	Probabilistic Methods for Service Clustering. SMRR@ISWC Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner
2010	J	`jnl`	Probabilistic Topic Models for Learning Terminological Ontologies. IEEE Trans. Knowl. Data Eng. Wei Wang, Payam M. Barnaghi, Andrzej Bargiela
2010	—	`conf`	Publishing Linked Sensor Data. SSN Payam M. Barnaghi, Mirko Presser
2010	—	`conf`	The SENSEI Real World Internet Architecture. Future Internet Assembly Vlasios Tsiatsis, Alexander Gluhak, Tim Bauge, Frederic Montagut, Jesús Bernat, Martin Bauer, Claudia Villalonga, Payam M. Barnaghi, Srdjan Krco
2010	—	`conf`	Using concept and structure similarities for ontology integration. OM Xiulei Liu, Payam M. Barnaghi, Klaus Moessner, Jianxin Liao
2009	—	`conf`	Semantic Annotation and Reasoning for Sensor Data. EuroSSC Wei Wang, Payam M. Barnaghi
2009	—	`ch.`	Semantic Association Analysis in Ontology-Based Information Retrieval. Handbook of Research on Digital Libraries Payam M. Barnaghi, Wei Wang, Jayan Chirayath Kurian
2009	—	`ed.`	Smart Sensing and Context, 4th European Conference, EuroSSC 2009, Guildford, UK, September 16-18, 2009. Proceedings EuroSSC Payam M. Barnaghi, Klaus Moessner, Mirko Presser, Stefan Meissner
2007	—	`conf`	A Context-Aware Ranking Method for the Complex Relationships on the Semantic Web. ALPIT Payam M. Barnaghi, Sameem Abdul Kareem
2007	—	`conf`	Semantic Media in Medical Information Systems. SMAP Jung Ren Lee, Payam M. Barnaghi
2007	—	`conf`	Semantic-Enhanced Information Search and Retrieval. ALPIT Wei Wang, Payam M. Barnaghi, Andrzej Bargiela
2006	—	`conf`	A Flexible Architecture for Semantic Annotation and Automated Multimedia Presentation Generation. SEMPS Payam M. Barnaghi, Sameem Abdul Kareem
2006	—	`conf`	Semantics-based Dynamic Hypermedia Adaptation using the Hidden Markov Model. SEMPS Jayan Chirayath Kurian, Payam M. Barnaghi, Michael Ian Hartley
2006	—	`conf`	User Mediated Hypermedia Presentation Generation on the Semantic Web Framework. ICAT Jayan Chirayath Kurian, Payam M. Barnaghi, Michael Ian Hartley