Results 31 to 40 of about 92,198 (268)

Hybrid oversampling technique for imbalanced pattern recognition: Enhancing performance with Borderline Synthetic Minority oversampling and Generative Adversarial Networks

Machine Learning with Applications
Class imbalance problems (CIP) are one of the potential challenges in developing unbiased Machine Learning models for predictions. CIP occurs when data samples are not equally distributed between two or multiple classes.
Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, Zahed Siddique   +3 more
doaj   +1 more source

Improving Negative Sampling for Word Representation using Self-embedded Features [PDF]

, 2018
Although the word-popularity based negative sampler has shown superb performance in the skip-gram model, the theoretical motivation behind oversampling popular (non-observed) words as negative samples is still not well understood. In this paper, we start
Baroni Marco, Glorot Xavier, Gutmann Michael, Le Quoc, Levy Omer, Mikolov Tomas, Mnih Andriy, Mnih Andriy, Morin Frederic, Shrivastava Anshumali, Tang Duyu, Tian Fei, Vincent Pascal, Zhou Guangyou   +13 more
core   +2 more sources

Oversampling for Imbalanced Learning Based on K-Means and SMOTE

, 2017
Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced class distributions. While different strategies exist to tackle this problem,
Bacao, Fernando, Douzas, Georgios, Last, Felix   +2 more
core   +1 more source

Generalized Multiscale Finite Element Methods for problems in perforated heterogeneous domains [PDF]

, 2015
Complex processes in perforated domains occur in many real-world applications. These problems are typically characterized by physical processes in domains with multiple scales (see Figure 1 for the illustration of a perforated domain).
Chung, Eric T., Efendiev, Yalchin, Li, Guanglian, Vasilyeva, Maria   +3 more
core   +2 more sources

Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques

Applied Artificial Intelligence
The rise of social media has amplified online sharing, necessitating businesses to comprehend public sentiment. Traditional sentiment analysis struggles with sarcasm detection and class imbalance.
Ya-Han Hu, Ting-Hsuan Liu, Chih-Fong Tsai, Yu-Jung Lin   +3 more
doaj   +1 more source

Digital Self-Interference Cancellation Based on Blind Source Separation and Spectral Efficiency Analysis for the Full-Duplex Communication Systems

IEEE Access, 2018
In this paper, the fundamental problem for the full-duplex communication systems, i.e., self-interference cancellation (SIC), is investigated, and a novel digital-domain SIC method based on blind source separation is proposed. This method achieves SIC by
Hua Yang, Hang Zhang, Jiang Zhang, Liu Yang   +3 more
doaj   +1 more source

The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

IEEE Access, 2020
In this paper, we propose a new metric to measure goodness-of-fit for classifiers: the Real World Cost function. This metric factors in information about a real world problem, such as financial impact, that other measures like accuracy or F1 do not. This
Yaoshiang Ho, Samuel Wookey
doaj   +1 more source

Capacity Outer Bound and Degrees of Freedom of Wiener Phase Noise Channels with Oversampling

, 2017
The discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. A novel outer bound on the capacity with an average input power constraint is derived as a function of the oversampling factor. This outer bound
Barletta, Luca, Rini, Stefano
core   +1 more source

Early Detection of Asymptomatic Covid-19 Infection with Artificial Neural Network Model Through Voice Recording of Forced Cough

JOIV: International Journal on Informatics Visualization, 2023
SARS-CoV-2 is a virus that spreads the infection known as COVID-19, or Coronavirus 2019. According to data from the World Health Organization as of March 15, 2021, Indonesia has 1,419,455 cumulative cases and 38,426 cumulative deaths, ranking third among
Aisyah Khairun Nisa, I Gede Pasek Suta Wijaya, Arik Aranta   +2 more
doaj   +1 more source

Signal and System Approximation from General Measurements

, 2014
In this paper we analyze the behavior of system approximation processes for stable linear time-invariant (LTI) systems and signals in the Paley-Wiener space PW_\pi^1.
A.J. Jerri, A.M. Olevskii, A.N. Kolmogorov, B.Y. Levin, C.E. Shannon, D. Hilbert, F. Schipp, H. Boche, H. Boche, H. Boche, J.R. Higgins, J.R. Higgins, J.R. Partington, L. Franks, M. Goldenbaum, N.J. Fine, P.J.S.G. Ferreira, P.J.S.G. Ferreira, P.J.S.G. Ferreira, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, P.L. Butzer, R. Landauer, R. Landauer, R.L. Stens, R.M. Young, R.P. Boas, R.P. Feynman, S.J. Szarek, W. Sun, W. Sun, W. Sun, Z. Song   +37 more
core   +1 more source