Small-scale dataset comparative analysis using computation resources. by Olaide N. Oyelade (14047002)

Subjects:

Small-scale dataset comparative analysis using the number of features selected. by Olaide N. Oyelade (14047002)

Subjects:

Parameter settings. by Olaide N. Oyelade (14047002)

Subjects:

Fig 2 - by Olaide N. Oyelade (14047002)

Subjects:

Usability of CART algorithm for determining egg quality characteristics influencing fertility in the eggs of Japanese quail by Şenol Çelik (12801984)

Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors by Li-Pang Chen (9747423)

An illustration of the shape-to-graph mapping. by William Pilcher (9339332)

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data by Lijia Wang (314011)

Analysis of geo-spatiotemporal data using machine learning algorithms and reliability enhancement for urbanization decision support by Kwame O. Hackman (9289505)

Data_Sheet_1_Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning.pdf by Shengqi Yang (9269216)

Data_Sheet_1_Deep learning-based ultrasonographic classification of canine chronic kidney disease.docx by Heejung Yu (17122910)

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.…”

Flow diagram of the proposed model. by Uğur Ejder (22683228)

UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

Timeline of a single trial for dataset 1. by Rabia Avais Khan (16955056)

“…Six different classification algorithms, namely support vector machine, linear discriminant analysis, k-nearest neighbor, naïve Bayes, decision trees, and logistic regression, have been compared to classify the EEG data accurately. …”

Block diagram of proposed methodology. by Rabia Avais Khan (16955056)

“…Six different classification algorithms, namely support vector machine, linear discriminant analysis, k-nearest neighbor, naïve Bayes, decision trees, and logistic regression, have been compared to classify the EEG data accurately. …”

Timeline of a single trial for dataset 2. by Rabia Avais Khan (16955056)

“…Six different classification algorithms, namely support vector machine, linear discriminant analysis, k-nearest neighbor, naïve Bayes, decision trees, and logistic regression, have been compared to classify the EEG data accurately. …”

IRBMO vs. variant comparison adaptation data. by Chenyi Zhu (9383370)

Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data by Fei Xue (24567)

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf by Muhammad Awais (263096)

“…<p>In the field of medicine, decision support systems play a crucial role by harnessing cutting-edge technology and data analysis to assist doctors in disease diagnosis and treatment. …”