Kalia Orphanou
Orcid: 0000-0003-1351-2489
According to our database1,
Kalia Orphanou
authored at least 18 papers
between 2012 and 2024.
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Bibliography
2024
A Crowdsourcing Approach for Identifying Potential Stereotypes in the Collected Data.
Proceedings of the Social Computing and Social Media, 2024
2023
2022
Performance, Transparency and Time. Feature selection to speed up the diagnosis of Parkinson's disease.
CoRR, 2022
2021
Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AI.
SIGIR Forum, 2021
Online Soc. Networks Media, 2021
Inf. Process. Manag., 2021
Mitigating Bias in Algorithmic Systems: A Fish-Eye View of Problems and Solutions Across Domains.
CoRR, 2021
Educating Computer Science Students about Algorithmic Fairness, Accountability, Transparency and Ethics.
Proceedings of the ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V.1, Virtual Event, Germany, June 26, 2021
2020
MANDOLA: A Big-Data Processing and Visualization Platform for Monitoring and Detecting Online Hate Speech.
ACM Trans. Internet Techn., 2020
The ICARUS Ontology: A general aviation ontology developed using a multi-layer approach.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020
2018
Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis.
J. Biomed. Informatics, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2016
DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis.
IEEE J. Biomed. Health Informatics, 2016
Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016
2015
Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks.
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
Artif. Intell. Medicine, 2014
Integration of Temporal abstraction and Dynamic Bayesian Networks for Coronary Heart Diagnosis.
Proceedings of the STAIRS 2014, 2014
2012
Integration of Temporal Abstraction and Dynamic Bayesian Networks in Clinical Systems. A preliminary approach.
Proceedings of the 2012 Imperial College Computing Student Workshop, 2012