Lotfy Abdel Khaliq

dblp:388/6448 · also Lotfy H. Abdel Khaliq · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Deep learning architectures and training · 50% Time series and sequential data · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 77% Performance modeling and evaluation · 23%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Time series and sequential data
anomaly detection
0.812024
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024
Machine learning › Deep learning architectures and training
convolutional neural network
0.812024
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024
Emerging computing paradigms
quantum computer architecture
0.812024
REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms · IJCAI 2024
Computational social science and digital humanities
sports analytics
0.212024
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports · IJCAI 2024
Performance modeling and evaluation
benchmarking
0.212024
REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms · IJCAI 2024

Methods — techniques the papers use, named apart from their topics

self-attention · 1.5sliding-window spectrograms · 0.8attention mechanism · 0.8
YearPublicationVenuePosition
2024 REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms
Lotfy Abdel Khaliq, Sabine Janzen, Wolfgang Maass 0002
IJCAI1
2024 SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
Maxx Richard Rahman, Lotfy Abdel Khaliq, Thomas Piper, Hans Geyer, Tristan Equey, Norbert Baume, Reid Aikin, Wolfgang Maass 0002
IJCAI2