IEEE

Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data

Abstract: Federated learning is increasingly being considered for sensor-driven human activity recognition, offering advantages in terms of privacy and scalability compared to centralized methods.
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

Dealing With Class Imbalance in Uplift Modeling-Efficient Data Preprocessing via Oversampling and Matching

Abstract: Uplift modeling is a widely recognized predictive approach used to identify individuals who are more likely to respond positively to an intervention or treatment, such as a marketing ...
GitHub

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...
GitHub

Concurrent Python made simple

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.