Accuracy of different algorithms in binary classification on Alibaba Cloud data set. by Zhanhui Hu (18405183)

The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. by Qian Zhang (49333)

Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf by Sai Sakunthala Guddanti (17739363)

Community Detection with Heterogeneous Block Covariance Model by Xiang Li (114679)

Key steps in neurodegeneration detection algorithm. by Andrew S. Clark (16510496)

All data used to train the model is available at https://github.com/sirlis/RailDefect. by Hailang Li (12557543)

Performance metrics of the logistic regression models on the test dataset. by Kengo Oka (1420585)

Subjects:

Performance metrics of the machine learning models on the test dataset. by Kengo Oka (1420585)

Subjects:

For each classification algorithm, the classification accuracies for binary subject groups NC versus EMCI, NC versus LEMC, EMCI versus LEMC, EMCI versus AD, LMCI versus AD, AD vers... by Qian Zhang (49333)

Explicability results of the crowding classification model. by Kengo Oka (1420585)

Subjects:

Explicability results of the deep bite classification model. by Kengo Oka (1420585)

Subjects:

Explicability results of the maxillary protrusion classification model. by Kengo Oka (1420585)

Subjects:

Algoritmo de detección de odio en español (Algorithm for detection of hate speech in Spanish) by Elias Said-Hung (10790310)

“…</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 expresiones de odio por intensidad 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><li>Este algoritmo está relacionado con el algoritmo de clasificación de expresiones de odio por tipo en español, desarrollado también por los autores: <a href="https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-type-in-Spanish" target="_blank">https://github.com/esaidh266/Algorithm-for-classifying-hate-expressions-by-type-in-Spanish</a></li></ul><p>----</p>Hate Speech Detection Model<p dir="ltr">This code implements a hate speech classification system using the RoBERTuito model (a Spanish version of RoBERTa) to detect hate speech in tweets.…”

Effect of different randomization constraints on pattern detection. by Zachary P. Neal (9946331)

Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set by Joseph Vargovich (11706769)

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing... by Charmayne Mary Lee Hughes (12959972)

“…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …”

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

The tissue detection pipeline. by Andrea Bizzego (6519749)

Joint Network Reconstruction and Community Detection from Rich but Noisy Data by Jie Hu (130301)

“…In this article, we propose a novel framework, called the group-based binary mixture (GBM) modeling approach, to simultaneously conduct network reconstruction and community detection from such rich but noisy data. …”