Sefki Kolozali

22 papers C 1Misc 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study With a Cohort Group in South Africa.
IEEE J. Biomed. Health Informatics
Sefki Kolozali, Sara L. White, Shane Norris, Maria Fasli, Alastair van Heerden
2024 — conf
Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects.
ICDH
Cristian Turetta, Morteza Varasteh, Sefki Kolozali, Graziano Pravadelli
2023 C conf
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
MMSP
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023 J jnl
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
CoRR
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023 J jnl
Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems.
Neural Comput. Appl.
Sefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer Kathleen Quint, Frank Kelly, Benjamin Barratt
2022 — conf
Audio-Based Deep Learning Frameworks for Detecting COVID-19.
EUSIPCO
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
2022 J jnl
Audio-Based Deep Learning Frameworks for Detecting COVID-19.
CoRR
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
2022 J jnl
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation.
CoRR
Eduardo Weber Wächter, Server Kasap, Sefki Kolozali, Xiaojun Zhai, Shoaib Ehsan, Klaus D. McDonald-Maier
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
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
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 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
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 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
2014 — conf
A Framework for Automatic Ontology Generation Based on Semantic Audio Analysis.
Semantic Audio
Sefki Kolozali, György Fazekas, Mathieu Barthet, Mark B. Sandler
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
2013 J jnl
Automatic Ontology Generation for Musical Instruments Based on Audio Analysis.
IEEE Trans. Speech Audio Process.
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2011 — conf
Knowledge Representation Issues in Musical Instrument Ontology Design.
ISMIR
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2010 — conf
Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments.
SAMT
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
2009 — conf
Publishing Music Similarity Features on the Semantic Web.
ISMIR
Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler