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Payam M. Barnaghi
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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
- 2024
- [j48]Yushan Huang
, Yuchen Zhao
Analyzing entropy features in time-series data for pattern recognition in neurological conditions. Artif. Intell. Medicine 150: 102821 (2024) - [j47]Nivedita Bijlani
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
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
Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 7(1) (2024) - [i25]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) - [i24]Alexander Capstick, Tianyu Cui, Yu Chen, Payam M. Barnaghi:
Representation Learning of Daily Movement Data Using Text Encoders. CoRR abs/2405.04494 (2024) - [i23]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) - 2023
- [j44]Maria R. Lima
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
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
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
The effect of COVID-19 on the home behaviours of people affected by dementia. npj Digit. Medicine 5 (2022) - [j40]Maria R. Lima
Conversational Affective Social Robots for Ageing and Dementia Support. IEEE Trans. Cogn. Dev. Syst. 14(4): 1378-1397 (2022) - [j39]Edith C. H. Ngai
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
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
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
Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors 21(24): 8409 (2021) - [j34]Roonak Rezvani
A New Pattern Representation Method for Time-Series Data. IEEE Trans. Knowl. Data Eng. 33(7): 2818-2832 (2021) - [j33]Honglin Li
Continual Learning Using Bayesian Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4243-4252 (2021) - [e8]Andreas Hotho
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
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
Multimodal Federated Learning. CoRR abs/2109.04833 (2021) - [i14]Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao
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
Big Data Intelligent Networking. IEEE Netw. 34(4): 6-7 (2020) - [j31]Masoud Hassanpour
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
Privacy-preserving activity and health monitoring on databox. EdgeSys@EuroSys 2020: 49-54 - [c45]Valentinas Janeiko, Roonak Rezvani
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
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
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
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
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
Best practices for publishing, retrieving, and using spatial data on the web. Semantic Web 10(1): 95-114 (2019) - [j27]Yasmin Fathy
An Online Adaptive Algorithm for Change Detection in Streaming Sensory Data. IEEE Syst. J. 13(3): 2688-2699 (2019) - [c42]Roonak Rezvani
Lagrangian-Based Pattern Extraction for Edge Computing in the Internet of Things. CSCloud/EdgeCom 2019: 177-182 - [c41]Tarek Elsaleh
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
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
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4(3): 161-175 (2018) - [j24]Shirin Enshaeifar, Payam M. Barnaghi
The Internet of Things for Dementia Care. IEEE Internet Comput. 22(1): 8-17 (2018) - [j23]Seyed Amir Hoseinitabatabaei
A Novel Indexing Method for Scalable IoT Source Lookup. IEEE Internet Things J. 5(3): 2037-2054 (2018) - [j22]Daniel Puschmann
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
BEATS: Blocks of Eigenvalues Algorithm for Time Series Segmentation. IEEE Trans. Knowl. Data Eng. 30(11): 2051-2064 (2018) - [c40]Antonio F. Skarmeta
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
An adaptive method for data reduction in the Internet of Things. WF-IoT 2018: 729-735 - [c37]Payam M. Barnaghi, Jean-Paul Calbimonte
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
Adaptive Clustering for Dynamic IoT Data Streams. IEEE Internet Things J. 4(1): 64-74 (2017) - [j18]María Bermúdez-Edo
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
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
Detecting changes in the variance of multi-sensory accelerometer data using MCMC. IEEE SENSORS 2017: 1-3 - [c33]Yasmin Fathy
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
CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access 4: 1086-1108 (2016) - [j15]Payam M. Barnaghi
On Searching the Internet of Things: Requirements and Challenges. IEEE Intell. Syst. 31(6): 71-75 (2016) - [j14]Sefki Kolozali
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
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
OMI-DL: An Ontology Matching Framework. IEEE Trans. Serv. Comput. 9(4): 580-593 (2016) - [c30]María Bermúdez-Edo
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
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
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
Physical-Cyber-Social Computing: Looking Back, Looking Forward. IEEE Internet Comput. 19(3): 7-11 (2015) - [j10]Frieder Ganz
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
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
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
Probabilistic Matchmaking Methods for Automated Service Discovery. IEEE Trans. Serv. Comput. 7(4): 654-666 (2014) - [c26]Sefki Kolozali, María Bermúdez-Edo
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
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
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
A Linked-Data Model for Semantic Sensor Streams. GreenCom/iThings/CPScom 2013: 468-475 - [c22]Gilbert Cassar, Payam M. Barnaghi
Composition of services in pervasive environments: A Divide and Conquer approach. ISCC 2013: 226-232 - [c21]Pramod Anantharam, Payam M. Barnaghi
Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception. WIMS 2013: 5 - [c20]Martin Serrano, Hoan Quoc Nguyen-Mau, Manfred Hauswirth, Wei Wang, Payam M. Barnaghi
Open services for IoT cloud applications in the future internet. WOWMOM 2013: 1-6 - [e2]Óscar Corcho, Cory A. Henson, Payam M. Barnaghi:
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. CEUR Workshop Proceedings 1063, CEUR-WS.org 2013 [contents] - [i1]Amit P. Sheth, Payam M. Barnaghi, Markus Strohmaier, Ramesh C. Jain, Steffen Staab:
Physical-Cyber-Social Computing (Dagstuhl Reports 13402). Dagstuhl Reports 3(9): 245-263 (2013) - 2012
- [j5]Payam M. Barnaghi
Semantics for the Internet of Things: Early Progress and Back to the Future. Int. J. Semantic Web Inf. Syst. 8(1): 1-21 (2012) - [j4]Suparna De, Tarek Elsaleh, Payam M. Barnaghi, Stefan Meissner:
An Internet of Things Platform for Real-World and Digital Objects. Scalable Comput. Pract. Exp. 13(1) (2012) - [j3]Michael Compton, Payam M. Barnaghi
The SSN ontology of the W3C semantic sensor network incubator group. J. Web Semant. 17: 25-32 (2012) - [c19]Ralf Tönjes, Eike Steffen Reetz, Klaus Moessner, Payam M. Barnaghi:
A test-driven approach for life cycle management of internet of things enabled services. Future Network & Mobile Summit 2012: 1-8 - [c18]Gilbert Cassar, Payam M. Barnaghi
A Hybrid Semantic Matchmaker for IoT Services. GreenCom 2012: 210-216 - [c17]Frieder Ganz
A Resource Mobility Scheme for Service-Continuity in the Internet of Things. GreenCom 2012: 261-264 - 2011
- [j2]Wei Wang, Payam M. Barnaghi
Rational Research model for ranking semantic entities. Inf. Sci. 181(13): 2823-2840 (2011) - [c16]Frieder Ganz
Context-aware management for sensor networks. COMSWARE 2011: 6 - [c15]Suparna De, Payam M. Barnaghi, Martin Bauer, Stefan Meissner:
Service Modelling for Internet of Things. FedCSIS 2011: 949-955 - [c14]Frieder Ganz
A mediated gossiping mechanism for large-scale sensor networks. GLOBECOM Workshops 2011: 405-409 - [c13]Gilbert Cassar, Payam M. Barnaghi
A Probabilistic Latent Factor approach to service ranking. ICCP 2011: 103-109 - 2010
- [j1]Wei Wang, Payam M. Barnaghi
Probabilistic Topic Models for Learning Terminological Ontologies. IEEE Trans. Knowl. Data Eng. 22(7): 1028-1040 (2010) - [c12]Vlasios Tsiatsis, Alexander Gluhak, Tim Bauge, Frederic Montagut, Jesús Bernat, Martin Bauer, Claudia Villalonga
The SENSEI Real World Internet Architecture. Future Internet Assembly 2010: 247-256 - [c11]Claudia Villalonga
Modeling of sensor data and context for the Real World Internet. PerCom Workshops 2010: 1-6 - [c10]Payam M. Barnaghi, Mirko Presser:
Publishing Linked Sensor Data. SSN 2010 - [c9]Gilbert Cassar, Payam M. Barnaghi, Klaus Moessner:
Probabilistic Methods for Service Clustering. SMRR@ISWC 2010 - [c8]Xiulei Liu, Payam M. Barnaghi, Klaus Moessner, Jianxin Liao:
Using concept and structure similarities for ontology integration. OM 2010
2000 – 2009
- 2009
- [c7]Wei Wang, Payam M. Barnaghi
Semantic Annotation and Reasoning for Sensor Data. EuroSSC 2009: 66-76 - [p1]Payam M. Barnaghi, Wei Wang, Jayan Chirayath Kurian:
Semantic Association Analysis in Ontology-Based Information Retrieval. Handbook of Research on Digital Libraries 2009: 131-141 - [e1]Payam M. Barnaghi
Smart Sensing and Context, 4th European Conference, EuroSSC 2009, Guildford, UK, September 16-18, 2009. Proceedings. Lecture Notes in Computer Science 5741, Springer 2009, ISBN 978-3-642-04470-0 [contents] - 2007
- [c6]Payam M. Barnaghi
A Context-Aware Ranking Method for the Complex Relationships on the Semantic Web. ALPIT 2007: 129-134 - [c5]Wei Wang, Payam M. Barnaghi
Semantic-Enhanced Information Search and Retrieval. ALPIT 2007: 218-223 - [c4]Jung Ren Lee, Payam M. Barnaghi:
Semantic Media in Medical Information Systems. SMAP 2007: 27-31 - 2006
- [c3]Jayan Chirayath Kurian, Payam M. Barnaghi
User Mediated Hypermedia Presentation Generation on the Semantic Web Framework. ICAT 2006: 901-907 - [c2]Payam M. Barnaghi, Sameem Abdul Kareem:
A Flexible Architecture for Semantic Annotation and Automated Multimedia Presentation Generation. SEMPS 2006 - [c1]Jayan Chirayath Kurian, Payam M. Barnaghi, Michael Ian Hartley:
Semantics-based Dynamic Hypermedia Adaptation using the Hidden Markov Model. SEMPS 2006
Coauthor Index
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