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Daniel Omeiza
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Smooth grad-cam++: An enhanced inference level visualization technique for deep convolutional neural network models
D Omeiza, S Speakman, C Cintas, K Weldermariam
arXiv preprint arXiv:1908.01224, 2019
2412019
Explanations in autonomous driving: A survey
D Omeiza, H Webb, M Jirotka, L Kunze
IEEE Transactions on Intelligent Transportation Systems, 2021
2182021
Deep convolutional neural network for plant seedlings classification
DK Nkemelu, D Omeiza, N Lubalo
2018 NeurIPS Black in AI Workshop, 2018
532018
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android~ Apps
K Kollnig, R Binns, P Dewitte, M Van Kleek, G Wang, D Omeiza, H Webb, ...
SOUPS Conference, 2021
452021
Towards accountability: providing intelligible explanations in autonomous driving
DA Omeiza, H Webb, M Jirotka, L Kunze
In the Proceedings of the 2021 IEEE Intelligent Vehicles Symposium, 2021
372021
Smooth grad-cam++: An enhanced inference level visualization technique for deep convolutional neural network models. arXiv 2019
D Omeiza, S Speakman, C Cintas, K Weldermariam
arXiv preprint arXiv:1908.01224, 1908
301908
Assessing and explaining collision risk in dynamic environments for autonomous driving safety
R Nahata, D Omeiza, R Howard, L Kunze
24th IEEE International Conference on Intelligent Transportation Systems, 2021
262021
Why not explain? effects of explanations on human perceptions of autonomous driving
D Omeiza, K Kollnig, H Web, M Jirotka, L Kunze
2021 IEEE international conference on advanced robotics and its social …, 2021
252021
Context-based image explanations for deep neural networks
S Anjomshoae, D Omeiza, L Jiang
Image and Vision Computing 116, 104310, 2021
172021
Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model
J Yuan, S Sun, D Omeiza, B Zhao, P Newman, L Kunze, M Gadd
arXiv preprint arXiv:2402.10828, 2024
112024
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
D Omeiza, S Anjomshoae, H Webb, M Jirotka, L Kunze
In Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
112022
Realizing the Potential of AI in Africa: It All Turns on Trust
CD Alupo, D Omeiza, D Vernon
Towards Trustworthy Artificial Intelligent Systems, pp. 179-192, 2021
102021
Explainable Action Prediction through Self-Supervision on Scene Graphs
P Kochakarn, D De Martini, D Omeiza, L Kunze
International Conference on Robotics Automation (ICRA), 2023
62023
Fairness and transparency in human-robot interaction
H Claure, ML Chang, S Kim, D Omeiza, M Brandao, MK Lee, M Jung
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022
62022
Towards Explainable and Trustworthy Autonomous Physical Systems
D Omeiza, S Anjomshoae, K Kollnig, OM Camburu, K Främling, L Kunze
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-3, 2021
62021
Textual Explanations for Automated Commentary Driving
MA Kühn, D Omeiza, L Kunze
IEEE Intelligent Vehicles Symposium (IV) 2023, 2023
52023
Web security investigation through penetration tests: A case study of an educational institution portal
D Omeiza, J Owusu-Tweneboah
arXiv preprint arXiv:1811.01388, 2018
42018
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa
D Omeiza, D Vernon
arXiv preprint arXiv:1908.00340, 2019
32019
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
D Omeiza
2019 NeurIPS Workshop on Machine Learning for Developing World, 2019
22019
EEG-based Communication with a Predictive Text Algorithm
D Omeiza, KS Adewole, D Nkemelu
arXiv preprint arXiv:1812.05945, 2018
22018
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Articles 1–20