Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal. - Daniel Omeiza; Jemima Owusu-Tweneboah (CoRR, 2018)

Deep Convolutional Neural Network for Plant Seedlings Classification. - Daniel K. Nkemelu; Daniel Omeiza; Nancy Lubalo (CoRR, 2018)

EEG-based Communication with a Predictive Text Algorithm. - Daniel Omeiza; Kayode Sakariyah Adewole; Daniel K. Nkemelu (CoRR, 2018)

Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa. - Daniel Omeiza (CoRR, 2019)

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models. - Daniel Omeiza; Skyler Speakman; Celia Cintas; Komminist Weldemariam (CoRR, 2019)

A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models. - Daniel Omeiza (CoRR, 2019)

Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving. - Daniel Omeiza; Konrad Kollnig; Helena Webb; Marina Jirotka; Lars Kunze (ARSO, 2021)

Towards Explainable and Trustworthy Autonomous Physical Systems. - Daniel Omeiza; Sule Anjomshoae; Konrad Kollnig; Oana-Maria Camburu; Kary Främling; Lars Kunze (CHI Extended Abstracts, 2021)

Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety. - Richa Nahata; Daniel Omeiza; Rhys Howard; Lars Kunze (ITSC, 2021)

Towards Accountability: Providing Intelligible Explanations in Autonomous Driving. - Daniel Omeiza; Helena Webb; Marina Jirotka; Lars Kunze (IV, 2021)

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps. - Konrad Kollnig; Pierre Dewitte; Max Van Kleek; Ge Wang 004; Daniel Omeiza; Helena Webb; Nigel Shadbolt (SOUPS @ USENIX Security Symposium, 2021)

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps. - Konrad Kollnig; Reuben Binns; Pierre Dewitte; Max Van Kleek; Ge Wang 004; Daniel Omeiza; Helena Webb; Nigel Shadbolt (CoRR, 2021)

Context-based image explanations for deep neural networks. - Sule Anjomshoae; Daniel Omeiza; Lili Jiang 002 (Image Vis. Comput., 2021)

Fairness and Transparency in Human-Robot Interaction. - Houston Claure; Mai Lee Chang; Seyun Kim; Daniel Omeiza; Martim Brandao; Min Kyung Lee; Malte F. Jung (HRI, 2022)

From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions. - Daniel Omeiza; Sule Anjomshoae; Helena Webb; Marina Jirotka; Lars Kunze (IV, 2022)

Explanations in Autonomous Driving: A Survey. - Daniel Omeiza; Helena Webb; Marina Jirotka; Lars Kunze (IEEE Trans. Intell. Transp. Syst., 2022)

Explainable Action Prediction through Self-Supervision on Scene Graphs. - Pawit Kochakarn; Daniele De Martini; Daniel Omeiza; Lars Kunze (ICRA, 2023)

Textual Explanations for Automated Commentary Driving. - Marc Alexander Kühn; Daniel Omeiza; Lars Kunze (IV, 2023)

Effects of Explanation Specificity on Passengers in Autonomous Driving. - Daniel Omeiza; Raunak Bhattacharyya; Nick Hawes; Marina Jirotka; Lars Kunze (CoRR, 2023)

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs. - George Drayson; Efimia Panagiotaki; Daniel Omeiza; Lars Kunze (CoRR, 2023)

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. - Jianhao Yuan; Shuyang Sun; Daniel Omeiza; Bo Zhao; Paul Newman 001; Lars Kunze; Matthew Gadd (Robotics: Science and Systems, 2024)

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. - Jianhao Yuan; Shuyang Sun; Daniel Omeiza; Bo Zhao; Paul Newman 001; Lars Kunze; Matthew Gadd (CoRR, 2024)

Learning Run-time Safety Monitors for Machine Learning Components. - Ozan Vardal; Richard Hawkins; Colin Paterson; Chiara Picardi; Daniel Omeiza; Lars Kunze; Ibrahim Habli (CoRR, 2024)

S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving. - Daniel Omeiza; Pratik Somaiya; Jo-Ann Pattinson; Carolyn Ten Holter; Jack Stilgoe; Marina Jirotka; Lars Kunze (CoRR, 2024)

A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. - Daniel Omeiza; Raunak Bhattacharyya; Marina Jirotka; Nick Hawes; Lars Kunze (CoRR, 2024)