User Mediated Hypermedia Presentation Generation on the Semantic Web Framework. - Jayan Chirayath Kurian; Payam M. Barnaghi; Michael Ian Hartley (ICAT, 2006)

A Flexible Architecture for Semantic Annotation and Automated Multimedia Presentation Generation. - Payam M. Barnaghi; Sameem Abdul Kareem (SEMPS, 2006)

Semantics-based Dynamic Hypermedia Adaptation using the Hidden Markov Model. - Jayan Chirayath Kurian; Payam M. Barnaghi; Michael Ian Hartley (SEMPS, 2006)

A Context-Aware Ranking Method for the Complex Relationships on the Semantic Web. - Payam M. Barnaghi; Sameem Abdul Kareem (ALPIT, 2007)

Semantic-Enhanced Information Search and Retrieval. - Wei Wang 042; Payam M. Barnaghi; Andrzej Bargiela (ALPIT, 2007)

Semantic Media in Medical Information Systems. - Jung Ren Lee; Payam M. Barnaghi (SMAP, 2007)

Semantic Annotation and Reasoning for Sensor Data. - Wei Wang 042; Payam M. Barnaghi (EuroSSC, 2009)

Semantic Association Analysis in Ontology-Based Information Retrieval. - Payam M. Barnaghi; Wei Wang 042; Jayan Chirayath Kurian (Handbook of Research on Digital Libraries, 2009)

The SENSEI Real World Internet Architecture. - Vlasios Tsiatsis; Alexander Gluhak; Tim Bauge; Frederic Montagut; Jesús Bernat; Martin Bauer 001; Claudia Villalonga; Payam M. Barnaghi; Srdjan Krco (Future Internet Assembly, 2010)

Modeling of sensor data and context for the Real World Internet. - Claudia Villalonga; Martin Bauer 001; Vincent A. Huang; Jesús Bernat; Payam M. Barnaghi (PerCom Workshops, 2010)

Publishing Linked Sensor Data. - Payam M. Barnaghi; Mirko Presser (SSN, 2010)

Probabilistic Methods for Service Clustering. - Gilbert Cassar; Payam M. Barnaghi; Klaus Moessner (SMRR@ISWC, 2010)

Using concept and structure similarities for ontology integration. - Xiulei Liu; Payam M. Barnaghi; Klaus Moessner; Jianxin Liao (OM, 2010)

Probabilistic Topic Models for Learning Terminological Ontologies. - Wei Wang 042; Payam M. Barnaghi; Andrzej Bargiela (IEEE Trans. Knowl. Data Eng., 2010)

Context-aware management for sensor networks. - Frieder Ganz; Payam M. Barnaghi; François Carrez; Klaus Moessner (COMSWARE, 2011)

Service Modelling for Internet of Things. - Suparna De; Payam M. Barnaghi; Martin Bauer 001; Stefan Meissner (FedCSIS, 2011)

A mediated gossiping mechanism for large-scale sensor networks. - Frieder Ganz; Payam M. Barnaghi; François Carrez; Klaus Moessner (GLOBECOM Workshops, 2011)

A Probabilistic Latent Factor approach to service ranking. - Gilbert Cassar; Payam M. Barnaghi; Klaus Moessner (ICCP, 2011)

Rational Research model for ranking semantic entities. - Wei Wang 042; Payam M. Barnaghi; Andrzej Bargiela (Inf. Sci., 2011)

A test-driven approach for life cycle management of internet of things enabled services. - Ralf Tönjes; Eike Steffen Reetz; Klaus Moessner; Payam M. Barnaghi (Future Network & Mobile Summit, 2012)

A Hybrid Semantic Matchmaker for IoT Services. - Gilbert Cassar; Payam M. Barnaghi; Wei Wang 042; Klaus Moessner (GreenCom, 2012)

A Resource Mobility Scheme for Service-Continuity in the Internet of Things. - Frieder Ganz; Ruidong Li 001; Payam M. Barnaghi; Hiroaki Harai (GreenCom, 2012)

Semantics for the Internet of Things: Early Progress and Back to the Future. - Payam M. Barnaghi; Wei Wang 042; Cory A. Henson; Kerry Taylor (Int. J. Semantic Web Inf. Syst., 2012)

An Internet of Things Platform for Real-World and Digital Objects. - Suparna De; Tarek Elsaleh; Payam M. Barnaghi; Stefan Meissner (Scalable Comput. Pract. Exp., 2012)

The SSN ontology of the W3C semantic sensor network incubator group. - 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; et al. (J. Web Semant., 2012)

A Linked-Data Model for Semantic Sensor Streams. - Payam M. Barnaghi; Wei Wang 042; Lijun Dong; Chonggang Wang (GreenCom/iThings/CPScom, 2013)

Composition of services in pervasive environments: A Divide and Conquer approach. - Gilbert Cassar; Payam M. Barnaghi; Wei Wang 042; Suparna De; Klaus Moessner (ISCC, 2013)

Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception. - Pramod Anantharam; Payam M. Barnaghi; Amit P. Sheth (WIMS, 2013)

Open services for IoT cloud applications in the future internet. - Martin Serrano; Hoan Quoc Nguyen-Mau; Manfred Hauswirth; Wei Wang 042; Payam M. Barnaghi; Philippe Cousin (WOWMOM, 2013)

Physical-Cyber-Social Computing (Dagstuhl Reports 13402). - Amit P. Sheth; Payam M. Barnaghi; Markus Strohmaier; Ramesh C. Jain; Steffen Staab (Dagstuhl Reports, 2013)

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. - Payam M. Barnaghi; Amit P. Sheth; Cory A. Henson (IEEE Intell. Syst., 2013)

A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. - Sefki Kolozali; María Bermúdez-Edo; Daniel Puschmann; Frieder Ganz; Payam M. Barnaghi (iThings/GreenCom/CPSCom, 2014)

A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge. - Sefki Kolozali; Tarek Elsaleh; Payam M. Barnaghi (TC/SSN@ISWC, 2014)

Multi-resolution data communication in wireless sensor networks. - Frieder Ganz; Payam M. Barnaghi; François Carrez (WF-IoT, 2014)

Probabilistic Matchmaking Methods for Automated Service Discovery. - Gilbert Cassar; Payam M. Barnaghi; Klaus Moessner (IEEE Trans. Serv. Comput., 2014)

Physical-Cyber-Social Computing: Looking Back, Looking Forward. - Payam M. Barnaghi; Amit P. Sheth; Vivek K. Singh 001; Manfred Hauswirth (IEEE Internet Comput., 2015)

A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. - Frieder Ganz; Daniel Puschmann; Payam M. Barnaghi; François Carrez (IEEE Internet Things J., 2015)

Challenges for Quality of Data in Smart Cities. - Payam M. Barnaghi; María Bermúdez-Edo; Ralf Tönjes (ACM J. Data Inf. Qual., 2015)

Extracting City Traffic Events from Social Streams. - Pramod Anantharam; Payam M. Barnaghi; Krishnaprasad Thirunarayan; Amit P. Sheth (ACM Trans. Intell. Syst. Technol., 2015)

IoT-Lite: A Lightweight Semantic Model for the Internet of Things. - María Bermúdez-Edo; Tarek Elsaleh; Payam M. Barnaghi; Kerry L. Taylor (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Physical-cyber-social similarity analysis in smart cities. - Nazli FarajiDavar; Sefki Kolozali; Payam M. Barnaghi (WF-IoT, 2016)

A distributed in-network indexing mechanism for the Internet of Things. - Yasmin Fathy; Payam M. Barnaghi; Shirin Enshaeifar; Rahim Tafazolli (WF-IoT, 2016)

Marginal distribution clustering of multi-variate streaming IoT data. - Daniel Puschmann; Payam M. Barnaghi; Rahim Tafazolli (WF-IoT, 2016)

CityPulse: Large Scale Data Analytics Framework for Smart Cities. - 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 003; Thorben Iggena; et al. (IEEE Access, 2016)

On Searching the Internet of Things: Requirements and Challenges. - Payam M. Barnaghi; Amit P. Sheth (IEEE Intell. Syst., 2016)

On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. - Sefki Kolozali; Daniel Puschmann; María Bermúdez-Edo; Payam M. Barnaghi (IEEE Internet Things J., 2016)

Automated Semantic Knowledge Acquisition From Sensor Data. - Frieder Ganz; Payam M. Barnaghi; François Carrez (IEEE Syst. J., 2016)

OMI-DL: An Ontology Matching Framework. - Xiulei Liu; Bo Cheng 001; Jianxin Liao; Payam M. Barnaghi; Li Wan; Jingyu Wang 001 (IEEE Trans. Serv. Comput., 2016)

Data analysis as a web service: A case study using IoT sensor data. - Alireza Ahrabian; Sefki Kolozali; Shirin Enshaeifar; Clive Cheong Took; Payam M. Barnaghi (ICASSP, 2017)

Detecting changes in the variance of multi-sensory accelerometer data using MCMC. - Alireza Ahrabian; Tarek Elsaleh; Yasmin Fathy; Payam M. Barnaghi (IEEE SENSORS, 2017)

Distributed spatial indexing for the Internet of Things data management. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (IM, 2017)

Pattern Identification for State Prediction in Dynamic Data Streams. - Shirin Enshaeifar; Seyed Amir Hoseinitabatabaei; Alireza Ahrabian; Payam M. Barnaghi (iThings/GreenCom/CPSCom/SmartData, 2017)

A Non-invasive Wireless Monitoring Device for Children and Infants in Pre-Hospital and Acute Hospital Environments. - Phillip Winderbank-Scott; Payam M. Barnaghi (iThings/GreenCom/CPSCom/SmartData, 2017)

Virtualized environments, from connectivity to services. - Emmanuel Bertin; Markus Hofmann 001; Payam M. Barnaghi (Ann. des Télécommunications, 2017)

A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. - Nazli FarajiDavar; Sefki Kolozali; Payam M. Barnaghi (CoRR, 2017)

Volatility Based Change Detection in Data Streams. - Alireza Ahrabian; Nazli FarajiDavar; Clive Cheong Took; Payam M. Barnaghi (CoRR, 2017)

Adaptive Clustering for Dynamic IoT Data Streams. - Daniel Puschmann; Payam M. Barnaghi; Rahim Tafazolli (IEEE Internet Things J., 2017)

IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics. - María Bermúdez-Edo; Tarek Elsaleh; Payam M. Barnaghi; Kerry Taylor (Pers. Ubiquitous Comput., 2017)

Quantum load balancing in ad hoc networks. - Masoud Hasanpour; S. Shariat; Payam M. Barnaghi; Seyed Amir Hoseinitabatabaei; Seiamak Vahid; Rahim Tafazolli (Quantum Inf. Process., 2017)

IoTCrawler: Browsing the Internet of Things. - Antonio F. Skarmeta; José Santa; Juan A. Martínez 001; Josiane Xavier Parreira; Payam M. Barnaghi; Shirin Enshaeifar; Michail J. Beliatis; Mirko A. Presser; Thorben Iggena; Marten Fischer; Ralf Tönjes; Martin Strohbach; et al. (GIoTS, 2018)

Segment Parameter Labelling in MCMC Mean-Shift Change Detection. - Alireza Ahrabian; Shirin Enshaeifar; Clive Cheong Took; Payam M. Barnaghi (ICASSP, 2018)

An adaptive method for data reduction in the Internet of Things. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (WF-IoT, 2018)

Web Stream Processing Workshop Chairs' Welcome & Organization. - Payam M. Barnaghi; Jean-Paul Calbimonte; Daniele Dell'Aglio (WWW (Companion Volume), 2018)

Spatio-Temporal Analysis for Smart City Data. - María Bermúdez-Edo; Payam M. Barnaghi (WWW (Companion Volume), 2018)

Kalman Filter Modifier for Neural Networks in Non-stationary Environments. - Honglin Li; Frieder Ganz; Shirin Enshaeifar; Payam M. Barnaghi (CoRR, 2018)

Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT). - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (ACM Comput. Surv., 2018)

Machine learning for internet of things data analysis: a survey. - Mohammad Saeid Mahdavinejad; Mohammadreza Rezvan; Mohammadamin Barekatain; Peyman Adibi; Payam M. Barnaghi; Amit P. Sheth (Digit. Commun. Networks, 2018)

The Internet of Things for Dementia Care. - Shirin Enshaeifar; Payam M. Barnaghi; Severin Skillman; Andreas Markides; Tarek Elsaleh; Sahr Thomas Acton; Ramin Nilforooshan; Helen Rostill (IEEE Internet Comput., 2018)

A Novel Indexing Method for Scalable IoT Source Lookup. - Seyed Amir Hoseinitabatabaei; Yasmin Fathy; Payam M. Barnaghi; Chonggang Wang; Rahim Tafazolli (IEEE Internet Things J., 2018)

Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams. - Daniel Puschmann; Payam M. Barnaghi; Rahim Tafazolli (IEEE Syst. J., 2018)

BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. - Aurora González-Vidal; Payam M. Barnaghi; Antonio F. Skarmeta (IEEE Trans. Knowl. Data Eng., 2018)

Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. - Roonak Rezvani; Shirin Enshaeifar; Payam M. Barnaghi (CSCloud/EdgeCom, 2019)

IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams. - Tarek Elsaleh; María Bermúdez-Edo; Shirin Enshaeifar; Sahr Thomas Acton; Roonak Rezvani; Payam M. Barnaghi (GIoTS, 2019)

Continual Learning in Deep Neural Network by Using a Kalman Optimiser. - Honglin Li; Shirin Enshaeifar; Frieder Ganz; Payam M. Barnaghi (CoRR, 2019)

Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks. - Yasmin Fathy; Payam M. Barnaghi (IEEE Internet Things J., 2019)

Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. - Sefki Kolozali; María Bermúdez-Edo; Nazli FarajiDavar; Payam M. Barnaghi; Feng Gao 003; Muhammad Intizar Ali; Alessandra Mileo; Marten Fischer; Thorben Iggena; Daniel Kuemper; Ralf Tönjes (IEEE Internet Things J., 2019)

Best practices for publishing, retrieving, and using spatial data on the 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; et al. (Semantic Web, 2019)

An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. - Yasmin Fathy; Payam M. Barnaghi; Rahim Tafazolli (IEEE Syst. J., 2019)

Privacy-preserving activity and health monitoring on databox. - Yuchen Zhao; Hamed Haddadi; Severin Skillman; Shirin Enshaeifar; Payam M. Barnaghi (EdgeSys@EuroSys, 2020)

Enabling Context-Aware Search using Extracted Insights from IoT Data Streams. - Valentinas Janeiko; Roonak Rezvani; Narges Pourshahrokhi; Shirin Enshaeifar; Marianne Krogbæk; Sebastian Holmgard Christophersen; Tarek Elsaleh; Payam M. Barnaghi (GIoTS, 2020)

Verifying the Causes of Adversarial Examples. - Honglin Li; Yifei Fan; Frieder Ganz; Anthony J. Yezzi; Payam M. Barnaghi (ICPR, 2020)

A Digital Platform for Remote Healthcare Monitoring. - Shirin Enshaeifar; Payam M. Barnaghi; Severin Skillman; David J. Sharp; Ramin Nilforooshan; Helen Rostill (WWW (Companion Volume), 2020)

Continual Learning Using Task Conditional Neural Networks. - Honglin Li; Payam M. Barnaghi; Shirin Enshaeifar; Frieder Ganz (CoRR, 2020)

Semi-supervised Federated Learning for Activity Recognition. - Yuchen Zhao; Hanyang Liu; Honglin Li; Payam M. Barnaghi; Hamed Haddadi (CoRR, 2020)

Machine learning for risk analysis of Urinary Tract Infection in people with dementia. - Honglin Li; Payam M. Barnaghi; Severin Skillman; David J. Sharp; Ramin Nilforooshan; Helen Rostill (CoRR, 2020)

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. - 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; et al. (CoRR, 2020)

Big Data Intelligent Networking. - Ruidong Li 001; Houbing Song; Jiannong Cao 001; Payam M. Barnaghi; Jie Li 002; Constandinos X. Mavromoustakis (IEEE Netw., 2020)

Improving the Accuracy of the Video Popularity Prediction Models through User Grouping and Video Popularity Classification. - Masoud Hassanpour; Seyed Amir Hoseinitabatabaei; Payam M. Barnaghi; Rahim Tafazolli (ACM Trans. Web, 2020)

An attention model to analyse the risk of agitation and urinary tract infections in people with dementia. - Honglin Li; Roonak Rezvani; Magdalena Anita Kolanko; David J. Sharp; Maitreyee Wairagkar; Ravi Vaidyanathan; Ramin Nilforooshan; Payam M. Barnaghi (CoRR, 2021)

A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data. - Narges Pourshahrokhi; Samaneh Kouchaki; Kord M. Kober; Christine Miaskowski; Payam M. Barnaghi (CoRR, 2021)

Multimodal Federated Learning. - Yuchen Zhao; Payam M. Barnaghi; Hamed Haddadi (CoRR, 2021)

Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. - Francesca Palermo; Honglin Li; Alexander Capstick; Nan Fletcher-Lloyd; Yuchen Zhao; Samaneh Kouchaki; Ramin Nilforooshan; David J. Sharp; Payam M. Barnaghi (CoRR, 2021)

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. - Farshad Firouzi; Bahareh J. Farahani; Mahmoud Daneshmand; Kathy Grise; Jaeseung Song; Roberto Saracco; Lucy Lu Wang; Kyle Lo; Plamen Angelov 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT. - Meikang Qiu; Bhavani Thuraisingham; Mahmoud Daneshmand; Huansheng Ning; Payam M. Barnaghi (IEEE Internet Things J., 2021)

Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. - Rajesh Amerineni; Lalit Gupta; Nathan Steadman; Keshwyn Annauth; Charles Burr; Samuel Wilson; Payam M. Barnaghi; Ravi Vaidyanathan (Sensors, 2021)

A New Pattern Representation Method for Time-Series Data. - Roonak Rezvani; Payam M. Barnaghi; Shirin Enshaeifar (IEEE Trans. Knowl. Data Eng., 2021)

Continual Learning Using Bayesian Neural Networks. - Honglin Li; Payam M. Barnaghi; Shirin Enshaeifar; Frieder Ganz (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multimodal Federated Learning on IoT Data. - Yuchen Zhao; Payam M. Barnaghi; Hamed Haddadi (IoTDI, 2022)

Using Entropy Measures for Monitoring the Evolution of Activity Patterns. - Yushan Huang; Yuchen Zhao; Hamed Haddadi; Payam M. Barnaghi (WF-IoT, 2022)

Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. - Alexander Capstick; Francesca Palermo; Payam M. Barnaghi (CoRR, 2022)

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots. - 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; et al. (IEEE Internet Things J., 2022)

The effect of COVID-19 on the home behaviours of people affected by dementia. - Alina-Irina Serban; Eyal Soreq; Payam M. Barnaghi; Sarah Daniels; Rafael A. Calvo; David J. Sharp (npj Digit. Medicine, 2022)

Conversational Affective Social Robots for Ageing and Dementia Support. - Maria R. Lima; Maitreyee Wairagkar; Manish Gupta; Ferdinando Rodriguez y Baena; Payam M. Barnaghi; David J. Sharp; Ravi Vaidyanathan (IEEE Trans. Cogn. Dev. Syst., 2022)

Guest Editorial Special Issue on Green Communications and Networking With Machine Intelligence for Smart Cities. - Edith C. H. Ngai; Payam M. Barnaghi; Salil S. Kanhere; Victor C. M. Leung; Jiangchuan Liu (IEEE Trans. Green Commun. Netw., 2022)

Editorial: Big data technologies and applications. - Yulei Wu; Yi Pan 001; Payam M. Barnaghi; Zhiyuan Tan 001; Jingguo Ge; Hao Wang 003 (Wirel. Networks, 2022)

Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. - Narges Pourshahrokhi; Yunpeng Li; Samaneh Kouchaki; Payam M. Barnaghi (ACML, 2023)

Predicting Targets with Data from Non-Conforming Sources. - Alexander Capstick; Payam M. Barnaghi (Tiny Papers @ ICLR, 2023)

Information Theory Inspired Pattern Analysis for Time-series Data. - Yushan Huang; Yuchen Zhao; Alexander Capstick; Francesca Palermo; Hamed Haddadi; Payam M. Barnaghi (CoRR, 2023)

Interpreting Differentiable Latent States for Healthcare Time-series Data. - Yu Chen; Nivedita Bijlani; Samaneh Kouchaki; Payam M. Barnaghi (CoRR, 2023)

Discovering Behavioral Patterns Using Conversational Technology for In-Home Health and Well-Being Monitoring. - Maria R. Lima; Ting Su 003; Mélanie Jouaiti; Maitreyee Wairagkar; Paresh Malhotra; Eyal Soreq; Payam M. Barnaghi; Ravi Vaidyanathan (IEEE Internet Things J., 2023)

TIHM: An open dataset for remote healthcare monitoring in dementia. - Francesca Palermo; Yu Chen 092; Alexander Capstick; Nan Fletcher-Lloyd; Chloe Walsh; Samaneh Kouchaki; Jessica True; Olga Balazikova; Eyal Soreq; Gregory Scott; Helen Rostill; Ramin Nilforooshan; et al. (Zenodo, 2023)

Negotiating the capacities and limitations of sensor-mediated care in the home. - Christine Hine; Ramin Nilforooshan; Payam M. Barnaghi (J. Comput. Mediat. Commun., 2023)

Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring. - Nivedita Bijlani; Maowen Yin; Gustavo Carneiro 001; Payam M. Barnaghi; Samaneh Kouchaki (EMBC, 2024)

Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity. - Kexin Fan; Alexander Capstick; Ramin Nilforooshan; Payam M. Barnaghi (HealthCom, 2024)

Low-Energy On-Device Personalization for MCUs. - Yushan Huang; Ranya Aloufi; Xavier F. Cadet; Yuchen Zhao; Payam M. Barnaghi; Hamed Haddadi (SEC, 2024)

Analyzing entropy features in time-series data for pattern recognition in neurological conditions. - Yushan Huang; Yuchen Zhao; Alexander Capstick; Francesca Palermo; Hamed Haddadi; Payam M. Barnaghi (Artif. Intell. Medicine, 2024)

Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. - Nivedita Bijlani; Oscar Mendez Maldonado; Ramin Nilforooshan; Payam M. Barnaghi; Samaneh Kouchaki (Comput. Biol. Medicine, 2024)

MicroT: Low-Energy and Adaptive Models for MCUs. - Yushan Huang; Ranya Aloufi; Xavier F. Cadet; Yuchen Zhao; Payam M. Barnaghi; Hamed Haddadi (CoRR, 2024)

Representation Learning of Daily Movement Data Using Text Encoders. - Alexander Capstick; Tianyu Cui; Yu Chen; Payam M. Barnaghi (CoRR, 2024)

Enabling Regional Explainability by Automatic and Model-agnostic Rule Extraction. - Yu Chen; Tianyu Cui; Alexander Capstick; Nan Fletcher-Lloyd; Payam M. Barnaghi (CoRR, 2024)

Using Large Language Models for Expert Prior Elicitation in Predictive Modelling. - Alexander Capstick; Rahul G. Krishnan; Payam M. Barnaghi (CoRR, 2024)

Digital remote monitoring for screening and early detection of urinary tract infections. - 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; et al. (npj Digit. Medicine, 2024)

A Markov Chain Model for Identifying Changes in Daily Activity Patterns of People Living With Dementia. - Nan Fletcher-Lloyd; Alina-Irina Serban; Magdalena Anita Kolanko; David Wingfield; Danielle Wilson; Ramin Nilforooshan; Payam M. Barnaghi; Eyal Soreq (IEEE Internet Things J., 2024)

Training neural networks on data sources with unknown reliability. - Alexander Capstick; Francesca Palermo; Tianyu Cui; Payam M. Barnaghi (Inf. Fusion, 2025)

Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment. - Maria R. Lima; Alexander Capstick; Fatemeh Geranmayeh; Ramin Nilforooshan; Maja J. Mataric; Ravi Vaidyanathan; Payam M. Barnaghi (CoRR, 2025)

Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia. - Jin Cui; Alexander Capstick; Payam M. Barnaghi; Gregory Scott (CoRR, 2025)

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model. - Jin Cui; Alexander Capstick; Payam M. Barnaghi; Gregory Scott (CoRR, 2025)

Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning. - Jingteng Li; Kimberley Zakka; John Booth; Louise Rigny; Samiran Ray; Mario Cortina-Borja; Payam M. Barnaghi; Neil Sebire (BMC Medical Informatics Decis. Mak., 2025)