Abdulaziz Alali

Orcid: 0000-0003-0006-2642

Affiliations:
  • Qatar University, KINDI Center for Computing Research, College of Engineering, Doha, Qatar
  • University of Miami, Department of Electrical and Computer Engineering, Coral Gables, FL, USA (PhD 2016)


According to our database1, Abdulaziz Alali authored at least 32 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hybrid training of deep neural networks with multiple output layers for tabular data classification.
Pattern Recognit., 2026

2025
CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning.
CoRR, July, 2025

Surg-SegFormer: A Dual Transformer-Based Model for Holistic Surgical Scene Segmentation.
CoRR, July, 2025

Towards understanding the behavior of image-based network intrusion detection systems.
J. Netw. Comput. Appl., 2025

Beyond a single solution: Liquefied natural gas process optimization using niching-enhanced meta-heuristics.
Eng. Appl. Artif. Intell., 2025

Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey.
IEEE Access, 2025

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
Dataset for Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors.
Dataset, July, 2024

Boosted multilayer feedforward neural network with multiple output layers.
Pattern Recognit., 2024

Incremental Online Learning of Randomized Neural Network with Forward Regularization.
CoRR, 2024

Privacy Leakage in Federated Learning for Smart Grid Short-Term Load Forecasting.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Improving Energy Theft Detection through Time Series Segmentation and Ensemble Learning.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

Beam Prediction in 5G and 6G Systems: A Deep Learning Approach.
Proceedings of the 6th International Conference on Communications, 2024

Analysis of lightweight CNN-Based Intrusion Detection Models in IoT.
Proceedings of the IEEE/ACM International Conference on Big Data Computing, 2024

2023
Cryptographic ransomware encryption detection: Survey.
Comput. Secur., September, 2023

Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions.
Robotics, April, 2023

Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions.
Sensors, 2023

A machine learning framework for enhancing digital experiences in cultural heritage.
J. Enterp. Inf. Manag., 2023

This is not new! Spotting previously-verified claims over Twitter.
Inf. Process. Manag., 2023

A Blackbox Model Is All You Need to Breach Privacy: Smart Grid Forecasting Models as a Use Case.
CoRR, 2023

LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids.
IEEE Access, 2023

Tahaqqaq: A Real-Time System for Assisting Twitter Users in Arabic Claim Verification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022
A Framework for Assistive Social Robots for Detecting Aggression in Children.
Proceedings of the Social Robotics - 14th International Conference, 2022

Did I See It Before? Detecting Previously-Checked Claims over Twitter.
Proceedings of the Advances in Information Retrieval, 2022

2021
Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks.
Sensors, 2021

AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

Detection of Challenging Behaviours of Children with Autism Using Wearable Sensors during Interactions with Social Robots.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

2020
Investigating low-delay deep learning-based cultural image reconstruction.
J. Real Time Image Process., 2020

2019
Deep Learning and Cultural Heritage: The CEPROQHA Project Case Study.
Proceedings of the 13th International Conference on Software, 2019

Audio Based Drone Detection and Identification using Deep Learning.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

2015
PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., 2015


  Loading...