Ismini Psychoula

Orcid: 0000-0003-4489-9778

According to our database1, Ismini Psychoula authored at least 14 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
ExMo: Explainable AI Model Using Inverse Frequency Decision Rules.
Proceedings of the Artificial Intelligence in HCI, 2022

2021
Security and privacy issues of physical objects in the IoT: Challenges and opportunities.
Digit. Commun. Networks, 2021

Explainable Machine Learning for Fraud Detection.
Computer, 2021

2020
Challenges in assessing privacy impact: Tales from the front lines.
Secur. Priv., 2020

Privacy Risk Awareness in Wearables and the Internet of Things.
IEEE Pervasive Comput., 2020

2019
A Privacy Aware Architecture for IoT Enabled Systems.
Proceedings of the 2019 IEEE SmartWorld, 2019

Recognition of Similar Activities Based on Activity Relationship.
Proceedings of the 2019 IEEE SmartWorld, 2019

2018
Users' Privacy Concerns in IoT Based Applications.
Proceedings of the 2018 IEEE SmartWorld, 2018

A Deep Learning Approach for Privacy Preservation in Assisted Living.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Users' Perceptions and Attitudes Towards Smart Home Technologies.
Proceedings of the Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living, 2018

2017
Real-time sensor observation segmentation for complex activity recognition within smart environments.
Proceedings of the 2017 IEEE SmartWorld, 2017

Reality and perception: Activity monitoring and data collection within a real-world smart home.
Proceedings of the 2017 IEEE SmartWorld, 2017

Privacy modelling and management for assisted living within smart homes.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

Human Activity Recognition Using Recurrent Neural Networks.
Proceedings of the Machine Learning and Knowledge Extraction, 2017


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