This study applies machine learning to examine disproportionate amplification and potential traffic manipulation on social media through the Twitter activity of journalist Inna Afinogenova.
Gustavo Adolfo Rivero-Ortiz +2 more
doaj +1 more source
Research on network intrusion detection based on fusion Transformer and Inception
Aiming at the insufficient capability of current intrusion detection models in extracting information from traffic features and their low detection efficiency, an intrusion detection method named T-DIPSA-FRAM was proposed, which integrates a feature pre ...
Zhang Wanqi, Wang Jiaxing, Song Zhenfeng
doaj
Outlier detection of skill decision differences of football penalty takers from a data-driven perspective: multialgorit hm modeling and empirical research of eye-tracking data. [PDF]
Li Z, Hu P, Liu H, Dai RC.
europepmc +1 more source
Short-Window Micro-Behavioral Triage for High-Throughput Firewall Telemetry: Limits, Features, and Operational Feasibility. [PDF]
Kesgin K, Tümen V, Akın E.
europepmc +1 more source
Rule-Based Detection of Structural Outliers in Non-Stationary Time Series. [PDF]
Kacprowicz M.
europepmc +1 more source
MCOD: a memory-constrained deep learning framework for robust outlier detection in quantitative proteomics. [PDF]
Huang J +7 more
europepmc +1 more source
General OOD detection via model-aware and subspace-aware variable priority. [PDF]
Lu M, Ishwaran H.
europepmc +1 more source
Enhancing Data Quality in Clinical Trials: Cross-Company Validation of the Open-Source Clinical Trial Anomaly Spotter (CTAS). [PDF]
Tiikkainen P +2 more
europepmc +1 more source
Research on real-time detection of radiotherapy setup errors and intelligent quality control methods based on artificial intelligence and big data. [PDF]
Lin W +5 more
europepmc +1 more source
Discovery of a potent TDP1 inhibitor through machine learning-driven predictive modeling combined with structure-based virtual screening and experimental validation. [PDF]
Zeng H +12 more
europepmc +1 more source

