8 citations · 10 across the 9 of their papers we have counts for
12 papers
AI literacy over tool design: a mixed-methods study of scaffolded versus unrestricted generative AI in programming education
Sepinoud Azimi
Generative AI has become a routine resource in programming education, and most institutional responses to it are attempts at control, either by restricting access or by offering st…
Who Designs the Designer? Behavioural Architecture for GenAI in Education
Sepinoud Azimi
AI in education is stuck between two failed responses: banning AI and building content-only tutors. Both fail because they ignore what decades of research has established: that per…
Enabling Evolutionary Therapy in Metastatic Cancer Lacking Serum Biomarkers
Eva Molnárová, Ties A. Mulders, Marcela Spee-Dropková +5
Evolutionary therapy (ET) aims to steer tumor evolution by adjusting treatment timing and dosing to control rather than eradicate tumor burden. Clinical use requires reliable monit…
Teaching the social media generation: rethinking learning without sacrificing quality
Sepinoud Azimi
The rise of social media and AI tools has reshaped how students engage with learning, process information, and build trust in educational content. This generation prefers short, vi…
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam, Masa Cirkovic, Mete Harun Akcay +6
Imbalanced datasets pose a considerable challenge in training deep learning (DL) models for medical diagnostics, particularly for segmentation tasks. Imbalance may be associated wi…
Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment
Sepinoud Azimi, Louise Spekking, Kateřina Staňková
Personalized cancer treatment is revolutionizing oncology by leveraging precision medicine and advanced computational techniques to tailor therapies to individual patients. Despite…
Know Their Name: An Anthology of Great Women in the Shadows
Janan Arslan, Sepinoud Azimi, Lina Sami +6
There has been a long history of women innovators producing outstanding contributions to society and public benefit yet having their work passed over or sidelined or attributed to…
Identifying gender bias in blockbuster movies through the lens of machine learning
Muhammad Junaid Haris, Aanchal Upreti, Melih Kurtaran +3
The problem of gender bias is highly prevalent and well known. In this paper, we have analysed the portrayal of gender roles in English movies, a medium that effectively influences…
SimuShips -- A High Resolution Simulation Dataset for Ship Detection with Precise Annotations
Minahil Raza, Hanna Prokopova, Samir Huseynzade +2
Obstacle detection is a fundamental capability of an autonomous maritime surface vessel (AMSV). State-of-the-art obstacle detection algorithms are based on convolutional neural net…
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
Namid Stillman, Igor Balaz, Antisthenis Tsompanas +5
We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. EVONANO includes a simulator to grow tumours, extract representative…
On the Verification and Validation of AI Navigation Algorithms
Ivan Porres, Sepinoud Azimi, Sébastien Lafond +3
This paper explores the state of the art on to methods to verify and validate navigation algorithms for autonomous surface ships. We perform a systematic mapping study to find rese…
Improving Students Performance in Small-Scale Online Courses -- A Machine Learning-Based Intervention
Sepinoud Azimi, Carmen-Gabriela Popa, Tatjana Cucić
The birth of massive open online courses (MOOCs) has had an undeniable effect on how teaching is being delivered. It seems that traditional in class teaching is becoming less popul…