Sefki Kolozali

According to our database, Sefki Kolozali authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study With a Cohort Group in South Africa.

Sefki Kolozali, Sara L. White, Shane Norris, Maria Fasli, Alastair van Heerden

IEEE J. Biomed. Health Informatics, April, 2024

2023

Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems.

Sefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer Kathleen Quint, Frank Kelly, Benjamin Barratt

Neural Comput. Appl., August, 2023

An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.

Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

2022

COPD Patient's Symptoms with Personal Environmental Sensors.

Sefki Kolozali

Dataset, June, 2022

Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation.

Eduardo Weber Wächter, Server Kasap, Sefki Kolozali, Xiaojun Zhai, Shoaib Ehsan, Klaus D. McDonald-Maier

CoRR, 2022

Audio-Based Deep Learning Frameworks for Detecting COVID-19.

Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi

Proceedings of the 30th European Signal Processing Conference, 2022

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, Bart van Leeuwen, Maxime Lefrançois, Joshua Lieberman, Andrea Perego, Danh Le Phuoc, Bill Roberts, Kerry Taylor, Raphaël Troncy

Semantic Web, 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, Muhammad Intizar Ali, Alessandra Mileo, Marten Fischer, Thorben Iggena, Daniel Kuemper, Ralf Tönjes

IEEE Internet Things J., 2019

2017

A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams.

Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi

CoRR, 2017

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

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

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

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, Thorben Iggena, Thu-Le Pham, Cosmin-Septimiu Nechifor, Daniel Puschmann, João Fernandes

IEEE Access, 2016

Physical-cyber-social similarity analysis in smart cities.

Nazli FarajiDavar, Sefki Kolozali, Payam M. Barnaghi

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

2014

A Validation Tool for the W3C SSN Ontology based Sensory Semantic Knowledge.

Sefki Kolozali, Tarek Elsaleh, Payam M. Barnaghi

Proceedings of the Joint Proceedings of the 6th International Workshop on the Foundations, 2014

A Framework for Automatic Ontology Generation Based on Semantic Audio Analysis.

Sefki Kolozali, György Fazekas, Mathieu Barthet, Mark B. Sandler

Proceedings of the AES International Conference on Semantic Audio 2014, 2014

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

Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

2013

Automatic Ontology Generation for Musical Instruments Based on Audio Analysis.

Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler

IEEE Trans. Speech Audio Process., 2013

2011

Knowledge Representation Issues in Musical Instrument Ontology Design.

Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2010

Towards the Automatic Generation of a Semantic Web Ontology for Musical Instruments.

Sefki Kolozali, Mathieu Barthet, György Fazekas, Mark B. Sandler

Proceedings of the Semantic Multimedia, 2010

2009

Publishing Music Similarity Features on the Semantic Web.

Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009