Submissions from 2022
Region Grouping Based Counter factual Visual Explanations for Fine-Grained Visual Categorization, Zhaksylyk Kazykenov
Contrastive Self-Supervised Learning: A Survey on Different Architectures, Adnan Khan, Sarah Al Barri, and Muhammad Arslan Manzoor
Class-agnostic Object Detection with Multi-modal Transformer, Muhammad Maaz
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations, Hashmat Shadab Malik
Predicting of Acute Kidney Injury using Electronic Health Records, Svetlana Maslenkova
Reinforced Adaptive Staircase Learning for Job Shop Scheduling Problem, Dmitrii Medvedev
Negating Bias in Hybrid Transformers for Class Incremental Learning, Abdelrahman Mohamed Helmy Mohamed
Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Emad Saleh Muhtaseb
Automated Generation of Chest X-Ray Reports, Otabek Nazarov
Data-efficient transformer-based 3D object detection, Aidana Nurakhmetova
Bayesian Optimisation for Efficient ML Pipeline Hyperparameter Tuning Under a Cost Budget, Munachiso Samuel Nwadike
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
Ventricular Segmentation and Coronary Artery Disease Classification in Echocardiography with Limited Data, Mohamed Eltag Salih Saeed
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, and Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, and Mohammad Yaqub
ICU Prognosis using Explainable Generative Pre-trained Transformers from Electronic Health Records, Diego Saenz Penafiel
AraDiaWER: An Explainable Metricfor Dialectical Arabic ASR, Abdulwahab Hassan Sahyoun
TransformNet: Self-supervised representation learning through predicting geometric transformations, Hashim Sayed and Muhammad Ali
YoloS3DN: Towards Low-Latency ViT-Powered Stereo 3D Object Detection, Zakaria Sebaitre
Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence, Ikboljon Sobirov
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, and Mohammad Yaqub
Causal Modelling and Forecasting of Covid Time Series, Kevin Michael Toner
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks, Bao Yunqing
Using Neural Networks to Predict Micro-level Elderly Mortality and Analysing its Risk Factors Using Causal Discovery, Elnura Zhalieva
Biometric Authentication for Vehicle Access and Driver Stress Detection, Li Zhiyuan
Submissions from 2021
Self-supervised learning for fine-grained visual categorization, Muhammad Maaz, Hanoona Abdul Rasheed, and Dhanalaxmi Gaddam
Multi-modal Transformers Excel at Class-agnostic Object Detection, Muhammad Maaz, Hanoona Bangalath Rasheed, Salman Hameed Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Ming-Hsuan Yang