I personally completed several courses on Swayam, including an NPTEL course during the last semester of my master’s degree in computer science (specialization in AI) at the Central University of Rajasthan, India.I paid a small extra fee (less than $2) to receive my certificate by mail. Pa...
As the majority of the question paper is based on programming, the only way to score is by having a thorough understanding of the programming languages. 22-26 Revision days as per subjects 26-30 Sample or Previous Year Papers CBSE Class 12 Results 2024 The exam dates for CBSE Class 12 ...
A copy of model predictions for the Mcule purchasable database (ver. 200601) and the Broad Institute database used in this work is available at https://github.com/felixjwong/antibioticsai. Source data are provided with this paper. Code availability Chemprop is available at https://github.com...
the login window to view and download the scorecard online. The board also releases overall pass percentage, toppers list, etc. Last year, UBSE Result 2024 class 10, 12 was declared on May 25, 2023. Students can keep checking this page for the latest updates on UK Board 12th Results ...
This survey paper examined over 60 works in a wide variety of applications from the last 3 years (2020 to mid-2023) which combined the fields of low-shot learning and class imbalanced learning, either by addressing imbalance within low-shot settings, or using low-shot learning techniques and ...
Though the hindrance inlearning taskis not caused byclass imbalanceitself, it is due to some complications associated with this problem, such as a fewsample size, as in the case ofmicroarray data. Prominent examples of unbalanced microarray datasets are multiclass microarray datasets. This challenge...
In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of characterization and reporting on resected biopsies, including polyps, the numbers of which are increasing as a result of CRC population screening programs ongoi
As a result, the used sample consists of 10,692 observations corresponding to 1,188 respondents. The sample is randomly divided into 80% (950 respondents and 8,550 observations) for training/estimation and 20% (238 respondents and 2,142 observations) for testing/prediction. 4.2.2. Model ...
Ofek, Rokach, Stern, and Shabtai (2017) developed a fast clustering-based undersampling technique based on the sample set partitioning approach, splitting the original training dataset into pairwise disjoint subsets and training classifiers on them. Lin, Tsai, Hu, and Jhang (2017b) proposed two...
In this paper, a classification recognition algorithm for tower mechanical faults is proposed, and a multiclass central segmentation hyperplane support vector machine (CSH-SVM) is proposed to improve the existing multiclass support vector machine for problems in which a certain sample satisfies multiple...