Submissions from 2023
On Preconditioning Polyak Step-Size and its Variants, Farshed Abdukhakimov
Link Analysis in Complex Networks by Structural Method and Machine Learning, Aliakbar Abdurahimov
Automating Labeling of Fetal Ultrasound Views Using Machine Learning, Hussain Alasmawi
ExtArabic: Extensive Arabic Natural Language Understanding Benchmark, Sarah Adnan Al Barri
The Impact of Model Architecture on the Transferability of Adversarial Attacks, Farha Salem Khamis Albreiki
Stable Learning In Mean Field Games by Regularization of The Policy Updates, Talal Abdullah Fadhl Algumaei
Optimizing Industrial Systems with Machine Learning Anomaly Detection, Shaikh Khalid Khalifa Mohamed Khalid Al Nahyan
Domain Adaptive Imitation Learning for Self Driving Environments, Eman Hisham Zaki Al Suradi
From Limitations to Innovations: A Deep Dive into Multimodal Weakly Supervised Violence Detection, Younes Balah
Iterative Video Segmentation Framework and Benchmark Using Minimal User Annotations, Ariana Michelle Bermudez Venegas
BOsampler: a Plug-and-play Module for Stochastic Human Trajectory Sampling Promoting, Zhenhao Chen
Enabling Transactive Microgrids: A Multi-Agent Reinforcement Learning Hierarchical Framework, Nicolás Mauricio Cuadrado Ávila
Personalized learning with the existence of harmful workers, Brahim Erraji
On the Identifiability of Causal Discovery from Temporally Aggregated Data, Shunxing Fan
Exploiting Differential Adversarial Sensitivity for Trojaned Model Detection, Samar Fares
Omics-Driven Cancer Driver Gene Prediction with Enhanced Graph Convolutional Networks, Mugariya Farooq
ChatGPT-driven Prompt Generation for Vision-Language Models, Zhengqing Gao
Federated Reinforcement Learning Approach for Smart Microgrids Control, Roberto Alejandro Gutierrez Guillen
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses: An NLP Parser, Ashraf Haddad
Machine Learning Multimodality Fusion for Antimicrobial Resistance Prediction Using Electronic Health Records, Shahad Emad Mohamad Hardan
Improving Identity Consistency for Neural Head Reeanactment, Steven Phong Hoang
Secure Image Provenance: Blockchain-Based Solution for Image Forgery and Similarity, Sharim Jamal
Robust Video Dubbing: Improved Audio Classification, Recognition, and Separation in the Multilingual Setting, Bokang Jia
Drone Detection Using Modified Deep Learning Methods, Mohamad Mahmoud Kassab
3D Human Pose Estimation Under Occlusions and Partial Views, Maksat Kengeskanov
On Self-Supervised Learning of Vision Transformers for Fingerprint Presentation Attack Detection, Maryam Nadeem
Continual Casual Representation Learning, Boyang Sun
Confidential and Private Decentralized Learning based on Encryption-friendly Distillation Loss, Nurbek Tastan
Training Free Distillation for Efficient Action Recognition, Yu Kang Wong
Temporality-guided Masked Image Consistency for Domain Adaptive Video Segmentation, Zunhao Zhang
DC-Net: Divide-and-Conquer for Salient Object Detection, Jiayi Zhu
Medical Image Segmentation with Noisy Labels, Aigerim Zhumabayeva
A Deep Neural Network for Oxidative Coupling of Methane Trained on High Throughput Experimental Data, Klea Ziu
Submissions from 2022
On Utilizing Layer-wise Gradient Norms for Membership Inference Attack, Saarah Abdulla
Dialogue System for Early Mental Illness Detection: Towards a Digital Twin Solution, Akbobek Abilkaiyrkyzy
Self-Supervision using Style Transfer for Domain Generalization, Abdallah M. M. Abujami
Multi-label classification network for multi-view dataset using dependence and attention analysis, Hanin Thaer Al Ghothani
Self-supervised Learning for Time Series Analysis in Predictive Maintenance Application, Abdullatif Husain Hasan Alhashmi
Defense against Gradient Inversion Attacks using Kurtosis Regularization, Sulaiman Hamza Mohamed Aljanahi
Robust Collaborative Learning in the Presence of Malicious Clients, Naif Tayseer B Alkhunaizi
PEFormer: CNN-Transformer Network with Noisy Training for Robust Pulmonary Embolism Detection in Computed Tomography, Ahmed Said Mohamed Al Mahrooqi
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification, Faris (Mohammad Amin) Almalik
A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features, Rouqaiah Hassan Al-Refai
Towards a Digital Twin of Cognitive Processes, Shahd Hamad Ghanem Alshamsi
Some Results on the Expressivity of Deep Neural Networks, Mohammed Jasem Rashed Alzaabi
PolyKervNets: Activation-freeNeural Networks For Efficient Private Inference, Toluwani Samuel Aremu
DRGen: Domain Generalization in Diabetic Retinopathy Classification, Mohammad Zeyad Abdulrahman Atwany
AI-Driven 3D Segmentation of COVID-19 Infection from Lung CT, Ameera Ali Mohamed Bawazir
Recovering Lost Information from Exponential Moving Averages on HFT Market Data, Abdelmajid Essofi
Attention-based Methods for 3D Object Detection and Classification using Point Clouds, Dhanalaxmi Gaddam
A Radiogenomics Pipeline for Segmentation of Lung Nodules in CT Scans and Prediction of EGFR Mutation Status, Ivo Gollini Navarrete
Self-supervised Representation Learning of Multi-omics Cancer Data, Sayed Hashim
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise, Asma Ahmed Hashmi
The Employability of End-to-End Automatic Speech Recognition on Impaired Speech: An Investigation, Karima Kadaoui
Region Grouping Based Counter factual Visual Explanations for Fine-Grained Visual Categorization, Zhaksylyk Kazykenov
Predicting of Acute Kidney Injury using Electronic Health Records, Svetlana Maslenkova
Reinforced Adaptive Staircase Learning for Job Shop Scheduling Problem, Dmitrii Medvedev
Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography, Rand Emad Saleh Muhtaseb
Automated Generation of Chest X-Ray Reports, Otabek Nazarov
Bayesian Optimisation for Efficient ML Pipeline Hyperparameter Tuning Under a Cost Budget, Munachiso Samuel Nwadike
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
Causal Modelling and Forecasting of Covid Time Series, Kevin Michael Toner
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