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XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder
Research article (The Journal of Supercomputing, 2024) · cited 73× · AI/ML
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder
Summary
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder is a scholarly article[1].
Key Facts
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/xidintfl-vae-xgboost-based-intrusion-detection-of-imbalance-network-traffic-via-class-wise-focal-loss-variational-autoen
MLA“XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/xidintfl-vae-xgboost-based-intrusion-detection-of-imbalance-network-traffic-via-class-wise-focal-loss-variational-autoen.
BibTeX@misc{4ortxyz_xidintfl-vae-xgboost-based-intrusion-detection-of-imbalance-network-traffic-via-class-wise-focal-loss-variational-autoen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/xidintfl-vae-xgboost-based-intrusion-detection-of-imbalance-network-traffic-via-class-wise-focal-loss-variational-autoen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder — https://4ort.xyz/entity/xidintfl-vae-xgboost-based-intrusion-detection-of-imbalance-network-traffic-via-class-wise-focal-loss-variational-autoen (retrieved 2026-05-24)
