Search Results - subject:"Feature extraction"

Combining convolution neural networks with long-short term memory layers to predict Parkinson's disease progression

Frasca, Maria; La Torre, Davide; Pravettoni, Gabriella; … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2159-2188

Persistent link: https://www.econbiz.de/10015338338

An automatic humor identification model with novel features from Berger's typology and ensemble models

Mahajan, Rutal; Zaveri, Mukesh - In: Decision analytics journal 11 (2024), pp. 1-14

Humor identification in text is essential for natural language understanding, impacting human-computer interactions and emotion recognition. This study introduces a novel approach to automatic humor identification in text using ensemble learning techniques. The objective is to classify text into...

Persistent link: https://www.econbiz.de/10015101685

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties

Iraki, Tarek; Morand, Lukas; Dornheim, Johannes; Link, … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1887-1903

likelihood of a microstructure of being producible, and (3) performs a distance preserving microstructure feature extraction in …

Persistent link: https://www.econbiz.de/10015171598

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties

Iraki, Tarek; Morand, Lukas; Dornheim, Johannes; Link, … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1887-1903

likelihood of a microstructure of being producible, and (3) performs a distance preserving microstructure feature extraction in …

Persistent link: https://www.econbiz.de/10015371605

Integrated digital image processing techniques and deep learning approaches for wheat stripe rust disease detection and grading

Mumtaz, Rafia; Maqsood, Muhammad Hassan; Ul Haq, Ihsan; … - In: Decision analytics journal 8 (2023), pp. 1-14

This study proposes integrated image processing and deep learning approaches for wheat rust disease detection and grading. Wheat stripe rust is one of the diseases affecting the crop in nearly all wheat-growing countries, where humidity and high temperatures characterize the growing season. The...

Persistent link: https://www.econbiz.de/10014517346

Survey of feature selection and extraction techniques for stock market prediction

Htet Htet Htun; Biehl, Michael; Petkov, Nicolai - In: Financial innovation : FIN 9 (2023) 1, pp. 1-25

a variety of feature selection and feature extraction approaches that have been successfully applied in the stock market …

Persistent link: https://www.econbiz.de/10014288932

Multi-feature evaluation of financial contagion

Duda, Jarosław; Gurgul, Henryk; Syrek, Robert - In: Central European journal of operations research 30 (2022) 4, pp. 1167-1194

Persistent link: https://www.econbiz.de/10013445701

Feature extraction of search product based on multi-feature fusion-oriented to Chinese online reviews

Huang, Xunjiang; Liu, Yaqian; Wang, Yang; Wang, Xue - In: Data science and management : DSM 5 (2022) 2, pp. 57-65

study suggests a product feature extraction model from online reviews based on multi-feature fusion named PFEMF (products …

Persistent link: https://www.econbiz.de/10014517952

Colour difference detection method of product packaging based on local enhancement

Song, Hua - In: International journal of product development : IJPD 26 (2022) 1/4, pp. 12-24

Persistent link: https://www.econbiz.de/10014230080

A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification

Yu, Lean; Yu, Lihang; Yu, Kaitao - In: Financial Innovation 7 (2021) 1, pp. 1-20

-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main … stages: categorization of high dimensional data, high-dimensionality-trait-driven feature extraction, and high … < feature dimensions < sample size, and feature dimensions ≥ sample size. In the second stage, some typical feature extraction …

Persistent link: https://www.econbiz.de/10012602913