Sefki Kolozali

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 14

Top Topics

Anomaly Detection

Learning Frameworks

Top Venues

IEEE Internet Things J.

IEEE J. Biomed. Health Informatics

Publications

Sefki Kolozali, Sara L. White, Shane Norris, Maria Fasli, Alastair van Heerden
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 28 (4) (2024)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. CoRR (2023)
Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. MMSP (2023)
Sefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer K. Quint, Frank Kelly, Benjamin Barratt
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. 35 (23) (2023)
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
Audio-Based Deep Learning Frameworks for Detecting COVID-19. EUSIPCO (2022)
Eduardo Weber Wächter, Server Kasap, Sefki Kolozali, Xiaojun Zhai, Shoaib Ehsan, Klaus D. McDonald-Maier
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. CoRR (2022)
Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
Audio-Based Deep Learning Frameworks for Detecting COVID-19. CoRR (2022)
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) (2019)
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) (2019)
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)
Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. CoRR (2017)
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 (2016)
Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi
Physical-cyber-social similarity analysis in smart cities. WF-IoT (2016)
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) (2016)
Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi
A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge. TC/SSN@ISWC (2014)
Sefki Kolozali, György Fazekas, Mathieu Barthet, Mark B. Sandler
A Framework for Automatic Ontology Generation Based on Semantic Audio Analysis. Semantic Audio (2014)
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)
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
Automatic Ontology Generation for Musical Instruments Based on Audio Analysis. IEEE Trans. Speech Audio Process. 21 (10) (2013)
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
Knowledge Representation Issues in Musical Instrument Ontology Design. ISMIR (2011)
Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler
Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments. SAMT (2010)
Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler
Publishing Music Similarity Features on the Semantic Web. ISMIR (2009)