Comparison of ablation experiments on text representation. by Ling Yuan (374505)

Subjects:

Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

Text classification to streamline online wildlife trade analyses by Oliver Stringham (5595401)

“…Code and data for text classification models association with "Text classification to streamline online wildlife trade analyses". by Stringham OC, Moncayo S, Hill KGW, Toomes A, Mitchell L, Ross JV, Cassey P. …”

Presentation 1_Automated extraction and summarization of wind disaster data using deep learning models, with extended applications to seismic events.zip by Huy Pham (2271919)

“…Specifically, the BART-large MNLI model employs zero-shot text classification to identify sentences containing relevant impact information based on user-defined keywords, minimizing the need for fine-tuning the model on wind damage-related datasets. …”

Python code for the FRF and GFB models described in the text. by Christopher DiMattina (6475880)

Comparison of Text Classification Performance Between ATF-DF-WA and Pre-trained Model Baseline Algorithms. by Ming Gao (115719)

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Classification process of new web page nodes by the classification model. by Juan Liu (6492)

JCLS2022 - Modeling and Predicting Literary Reception by Judith Brottrager (11863796)

Compressed sensing decoded pooled testing significantly decreases the number of tests required to identify infected samples. by Kody A. Waldstein (14002708)

Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment. by Ranjeeta Adhikari (9905958)

“…<p>Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment.…”

SHAP contributions on the model’s output of true positive and true negative documents. by Violeta Berdejo Espinola (17870975)

Weighted-F1 of the optimal combination model with different scale text sets. by Lu Xiao (314030)

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Word clouds of top features of text classifiers. by Oliver C. Stringham (8033621)

Subjects:

For the doctor's discharge advice, the open-cyst operations with albendazole use increased, while the radical operation with albendazole use significantly decreased. by Hongwei Zhang (28335)

Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs. by Saad Mallick (17283479)

“…<p>Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs.…”

List of 1483 genes that were significantly (<i>P</i> < 0.1) increased or decreased in any galactose-treated sample. by Masaya Nagaya (13851123)

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)

Knockout of FcRn in cultured podocytes significantly decreases immune complex trafficking to the lysosome and increases IC trafficking to recycling endosomes. by George Haddad (470789)

Hyperparameters for each classification model. by Rodrigo Gutiérrez Benítez (19746443)

“…This study aims to investigate whether DA techniques can improve classification results using ML and DL algorithms for sentiment and emotion analysis of Spanish texts. …”

Original and processed text of Bengali text dataset. by Khandaker Mohammad Mohi Uddin (13124356)