Results 71 to 80 of about 283,145 (183)

Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values

Finance and Economics Discussion Series
Machine learning and artificial intelligence are often described as “black boxes.” Traditional linear regression is interpreted through its marginal relationships as captured by regression coefficients. We show that the same marginal relationship can be described rigorously for any machine learning model by calculating the slope of the partial ...
Thomas R. Cook, Zach D. Modig, Nathan M. Palmer   +2 more
openaire   +1 more source

A Novel Multi-modal Sentiment Analysis Based on Multiple Kernel Learning with Margin-Dimension Constraint

International Journal of Computational Intelligence Systems
Most of the sentiment analysis studies focus on the sentimental classification of pictures in the video, ignoring the spatio-temporal information of the sequence of picture frames as well as text and audio information.
Jun Liu, Zhihao Wang, Guangrong Wan, Jianbo Liu   +3 more
doaj   +1 more source

Comparative Analysis of Deep Convolutional Neural Network—Bidirectional Long Short-Term Memory and Machine Learning Methods in Intrusion Detection Systems

Applied Sciences
Particularly in Internet of Things (IoT) scenarios, the rapid growth and diversity of network traffic pose a growing challenge to network intrusion detection systems (NIDs).
Miracle Udurume, Vladimir Shakhov, Insoo Koo   +2 more
doaj   +1 more source

Incorporating Machine Learning Techniques to Enhance Rodent Surveillance in Marginalized Urban Communities

Ecology and Evolution
ABSTRACT Effective management of rodent pests necessitates efficient population surveillance. Many of the available methods currently used for estimating rodent populations are either costly or time‐intensive.
Fabio Neves Souza, Adedayo Michael Awoniyi, Rodrigo Dalvit Carvalho da Silva, Nivison Nery, Maria Victoria Moraes Oliveira, Caio Graco Zeppelini, George Andre Pereira Thé, Kathryn Hacker, Max T. Eyre, Hernan Dario Argibay, Albert Ko, Federico Costa, Hussein Khalil   +12 more
openaire   +3 more sources

A Review of Various Machine Learning Techniques and its Application on IoT and Cloud Computing

Tikrit Journal of Pure Science
The employ of Internet of Things has become an integral part of our daily life, especially in developed countries and societies, which in turn are considered to be one of the basic areas on which the mechanisms of their work depend to a large extent the
Hardi Sabah Talabani, Ihsan Hamza Jumaa
doaj   +1 more source

Glacial troughs as centres of organic carbon accumulation on the Norwegian continental margin

Communications Earth & Environment
The role of continental margin sediments in the carbon cycle and the associated management potential for climate mitigation are currently poorly understood.
Markus Diesing, Sarah Paradis, Henning Jensen, Terje Thorsnes, Lilja Rún Bjarnadóttir, Jochen Knies   +5 more
doaj   +1 more source

Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohortsResearch in context

EBioMedicine
Summary: Background: T-cell immune infiltrates are robust prognostic variables in localised colon cancer. Evaluation of prognosis using artificial intelligence is an emerging field.
Julie Lecuelle, Caroline Truntzer, Debora Basile, Luigi Laghi, Luana Greco, Alis Ilie, David Rageot, Jean-François Emile, Fréderic Bibeau, Julien Taïeb, Valentin Derangere, Come Lepage, François Ghiringhelli   +12 more
doaj   +1 more source

Machine Learning Approaches for Forecasting Raspberry Prices and Farm Profitability in Serbia

Contemporary Agriculture
Price volatility and uncertain profitability remain critical challenges for Serbia’s raspberry sector, which is among the largest in the world and highly dependent on export markets.
Milosavljević Nataša, Glavaš-Trbić Danica, Tomić Vedran, Radišić Robert, Čanak Stevan   +4 more
doaj   +1 more source

AI and ML patent intensity and firm performance: A machine learning-based lagged analysis

European Research on Management and Business Economics
This study investigates the long-term impact of artificial intelligence (AI) and machine learning (ML) patent intensity on firms’ performance, focusing on innovation-driven competitive advantage.
Melih Sefa Yavuz, Hilal Çalik
doaj   +1 more source

Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study

BMC Women's Health
Objectives This study aims to analyze factors associated with positive surgical margins following cold knife conization (CKC) in patients with cervical high-grade squamous intraepithelial lesion (HSIL) and to develop a machine-learning-based risk ...
Lin Zhang, Yahong Zheng, Lingyu Lei, Xufeng Zhang, Jing Yang, Yong Zeng, Keming Chen   +6 more
doaj   +1 more source