Machine Learning

The Orchestration Gap: Why Process Automation Stalls in Operationally Complex Industries
arXiv
The Orchestration Gap: Why Process Automation Stalls in Operationally Complex Industries
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review and Future Directions
Preprints 2026
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review and Future Directions
Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability
arXiv
Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
Nature AI’26
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
NLP-ADBench: NLP Anomaly Detection Benchmark
EMNLP 2025 Findings
NLP-ADBench: NLP Anomaly Detection Benchmark
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025 Findings
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
ACM MM 2024
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning