Kareem Abdelfatah

According to our database1, Kareem Abdelfatah authored at least 8 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
LLM-as-Judge for Semantic Judging of Powerline Segmentation in UAV Inspection.
CoRR, April, 2026

2025
Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection.
IEEE Internet Things J., August, 2025

Hierarchical Job Classification with Similarity Graph Integration.
CoRR, July, 2025

2024
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs.
Proceedings of the IEEE International Conference on Big Data, 2024

2019
Tripartite Vector Representations for Better Job Recommendation.
Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), 2019

DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2015
LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes.
CoRR, 2015

Co-Interest Person Detection from Multiple Wearable Camera Videos.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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