The Design of Compensators based on Root Locus Method using Artificial Neural Networks. - Zineddine Bettouche (ACIT, 2023)

Analysis of Features-Brightness Bias in Computer Vision. - Zineddine Bettouche; Johannes Reisinger; Andreas Fischer 001 (ACIT, 2023)

Transforming Process Mining: A Transformer-Based Approach to Semantic Clustering in Event Log Analysis. - Zineddine Bettouche (ICPM Doctoral Consortium / Demo, 2023)

Improving Image Tracing with Convolutional Autoencoders by High-Pass Filter Preprocessing. - Zineddine Bettouche; Andreas Fischer 001 (CoRR, 2023)

Mapping Researcher Activity based on Publication Data by means of Transformers. - Zineddine Bettouche; Andreas Fischer 001 (CoRR, 2023)

Synthetic Training-Data Generation for ML-based Process Mining Tools. - Anjali Singh; Zineddine Bettouche; Andreas Fischer 001 (ACIT, 2024)

Contextual Categorization Enhancement through LLMs Latent-Space. - Zineddine Bettouche; Anas Safi; Andreas Fischer 001 (CoRR, 2024)

Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images. - Krishna Sahukara; Zineddine Bettouche; Andreas Fischer 001 (CoRR, 2025)

Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting. - Khalid Ali; Zineddine Bettouche; Andreas Kassler; Andreas Fischer 001 (CoRR, 2025)

HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting. - Zineddine Bettouche; Khalid Ali; Andreas Fischer 001; Andreas Kassler (CoRR, 2025)