LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
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TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]
Wei C, Zhang T, Li C, Wang P, Ye Z.
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Wildfire Risk Assessment of Transmission-Line Corridors Based on Naïve Bayes Network and Remote Sensing Data. [PDF]
Chen W +5 more
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Feeding with tannin‐rich diets altered the fecal microbial composition and increased the relative abundance of tannin‐degrading microbes. We hypothesize that fecal bacteria and fungi may play important roles in helping herbivores adapt to tannin‐rich diets but respond to different tannin concentrations varies.
Di Zhu +5 more
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion. [PDF]
Chitra P +3 more
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Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy. [PDF]
Mansour NA, Saleh AI, Badawy M, Ali HA.
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Kaempferol modulates the tryptophan metabolism pathway by increasing the abundances of Christensenellaceae R7 group, Bacteroides, and Blautia and reducing that of Rikenellaceae RC9 gut group, thereby significantly increasing the levels of ILA and IAA. This process inhibits the activation of NF‐κB/NLRP3 signaling pathway, reduces pro‐inflammatory factor
Xiangyu Liu +3 more
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Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining. [PDF]
Wang W, Yan L, Liu F, Li Y.
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Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. [PDF]
Deepa N, Sathya Priya J, Devi T.
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A diagram of the integrated species distribution model of river otter intensity of use. Three types of data (latrine detections, roadkill detections, and detection/nondetection surveys) are linked by different observation processes to the same underlying intensity of use.
John G. Crockett +2 more
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