Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Samad, Manar D."'
Despite groundbreaking success in image and text learning, deep learning has not achieved significant improvements against traditional machine learning (ML) when it comes to tabular data. This performance gap underscores the need for data-centric tre
Externí odkaz:
http://arxiv.org/abs/2401.04266
Autor:
Rabbani, Shourav B., Samad, Manar D.
Traditional machine learning assumes samples in tabular data to be independent and identically distributed (i.i.d). This assumption may miss useful information within and between sample relationships in representation learning. This paper relaxes the
Externí odkaz:
http://arxiv.org/abs/2306.06772
Autor:
Kazijevs, Maksims, Samad, Manar D.
The imputation of missing values in multivariate time series (MTS) data is critical in ensuring data quality and producing reliable data-driven predictive models. Apart from many statistical approaches, a few recent studies have proposed state-of-the
Externí odkaz:
http://arxiv.org/abs/2302.10902
Deep learning methods are primarily proposed for supervised learning of images or text with limited applications to clustering problems. In contrast, tabular data with heterogeneous features pose unique challenges in representation learning, where de
Externí odkaz:
http://arxiv.org/abs/2301.00802
Deep learning methods in the literature are commonly benchmarked on image data sets, which may not be suitable or effective baselines for non-image tabular data. In this paper, we take a data-centric view to perform one of the first studies on deep e
Externí odkaz:
http://arxiv.org/abs/2212.14111
Publikováno v:
IEEE Transactions on Affective Computing, 2023
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, among others. Deep convolutional neural networks show promising results
Externí odkaz:
http://arxiv.org/abs/2209.08614
Missing values in tabular data restrict the use and performance of machine learning, requiring the imputation of missing values. The most popular imputation algorithm is arguably multiple imputations using chains of equations (MICE), which estimates
Externí odkaz:
http://arxiv.org/abs/2202.13734
The national highway traffic safety administration (NHTSA) identified cybersecurity of the automobile systems are more critical than the security of other information systems. Researchers already demonstrated remote attacks on critical vehicular elec
Externí odkaz:
http://arxiv.org/abs/2108.10908
Processing of raw text is the crucial first step in text classification and sentiment analysis. However, text processing steps are often performed using off-the-shelf routines and pre-built word dictionaries without optimizing for domain, application
Externí odkaz:
http://arxiv.org/abs/2007.13027
Autor:
Samad, Manar D., Sen, Sumen
In the game of cricket, the result of coin toss is assumed to be one of the determinants of match outcome. The decision to bat first after winning the toss is often taken to make the best use of superior pitch conditions and set a big target for the
Externí odkaz:
http://arxiv.org/abs/2007.05894