Search alternatives:
text classification » _ classification (Expand Search), image classification (Expand Search), based classification (Expand Search)
codon optimization » wolf optimization (Expand Search)
text classification » _ classification (Expand Search), image classification (Expand Search), based classification (Expand Search)
codon optimization » wolf optimization (Expand Search)
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Relationship between ordinal regression and binary classification performance.
Published 2025“…<p>For each of the 60 conditions (10 mental states x 2 algorithms x 3 forecast horizons), the performance of the ordinal regression model (y-axis) is displayed against the binary classification model (x-axis) under the same condition. …”
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Important citation identification by exploiting content and section-wise in-text citation count
Published 2020“…This research presents a novel approach for binary citation classification by exploiting section-wise in-text citation frequencies, similarity score, and overall citation count-based features. …”
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Calibration curves for NLP classification.
Published 2020“…These curves represent different combinations of text featurization (BOW, tf-idf, GloVe) and binary classification algorithms (Logistic Regression, RF, RNN). …”
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Receiver operating curves for NLP classification.
Published 2020“…These curves represent different combinations of text featurization (BOW, tf-idf, GloVe) and binary classification algorithms (Logistic Regression, k-NN, CART, OCT, OCT-H, RF, RNN). …”
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”
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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke
Published 2019“…Labeling for AIS was performed manually, identifying clinical notes. We applied binary logistic regression, naïve Bayesian classification, single decision tree, and support vector machine for the binary classifiers, and we assessed performance of the algorithms by F1-measure. …”
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Algoritmo de detección de odio en español (Algorithm for detection of hate speech in Spanish)
Published 2024“…</li></ol><ul><li>Converted to binary classification:</li><li>Negative tweets (original label 0) → Hate (1).…”
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Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish)
Published 2024“…</p><p dir="ltr">Más información:</p><ul><li><a href="https://www.hatemedia.es/" rel="nofollow" target="_blank">https://www.hatemedia.es/</a> o contactar con: <a href="mailto:elias.said@unir.net" target="_blank">elias.said@unir.net</a></li><li>Este algoritmo está relacionado con el algoritmo de clasificación de odio/no odio, desarrollado también por los autores: <a href="https://github.com/esaidh266/Algorithm-for-detection-of-hate-speech-in-Spanish" target="_blank">https://github.com/esaidh266/Algorithm-for-detection-of-hate-speech-in-Spanish</a></li><li>Este algoritmo está relacionado con el algoritmo de clasificación de expresiones de odio por intensidades en español, desarrollado también por los autores: <a href="https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-intensities-in-Spanish" target="_blank">https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-intensities-in-Spanish</a></li></ul>Hate Speech Type Classification Model<p dir="ltr">This code implements a hate speech type classification system using the RoBERTuito model (a Spanish version of RoBERTa) to detect and categorize different types of hate speech in texts.…”