Search Results - subject:"Machine Learning"

A machine learning projection method for macro-finance models

Valaitis, Vytautas; Villa, Alessandro T. - In: Quantitative economics : QE ; journal of the … 15 (2024) 1, pp. 145-173

We use supervised machine learning to approximate the expectations typically contained in the optimality conditions of …

Persistent link: https://www.econbiz.de/10014496944

Digital identification and pattern recognition capabilities using machine learning methods, navigation systems, and video surveillance

Marchenko, Olena; Viunenko, Oleksandr; Nechai, Ihor - In: Technology audit and production reserves 1 (2024) 2/75, pp. 6-13

Persistent link: https://www.econbiz.de/10014497309

A generalized linear model and machine learning approach for predicting the frequency and severity of cargo insurance in Thailand's border trade context

Praiya Panjee; Sataporn Amornsawadwatana - In: Risks : open access journal 12 (2024) 2, pp. 1-33

advanced machine learning techniques. Evaluations focus on mean absolute error (MAE) and root mean squared error (RMSE) metrics …

Persistent link: https://www.econbiz.de/10014497395

What influences the demand for a potential flood insurance product in an area with low previous exposure to insurance? : a case study in the West African Lower Mono River Basin (LMRB)

Wagner, Simon; Thiam, Sophie; Dossoumou, Nadège I. P.; … - In: Economics of disasters and climate change 8 (2024) 1, pp. 1-32

Persistent link: https://www.econbiz.de/10014500299

Use of autoencoder and one-hot encoding for customer segmentation

Smutek, Tomasz; Sikora, Janusz W.; Bogacki, Sylwester; … - In: European research studies 27 (2024), pp. 72-82

Persistent link: https://www.econbiz.de/10014543578

Prediction of realized volatility and implied volatility indices using AI and machine learning : a review

Gunnarsson, Elias Søvik; Isern, Håkon Ramon; … - In: International review of financial analysis 93 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10014543698

An integrated adaptive bilateral filter-based framework and attention residual U-net for detecting polycystic ovary syndrome

Bedi, Pradeep; Goyal, S. B.; Rajawat, Anand Singh; … - In: Decision analytics journal 10 (2024), pp. 1-10

Introduction: PCOS is a global hormonal disorder in women, increasing the risk of certain cancers. Early diagnosis and treatment can manage it. While metabolic markers are typical for detection, MRI and ultrasound physiological features are gaining interest. Ultrasound is especially promising...

Persistent link: https://www.econbiz.de/10014543762

Product knowledge graphs : creating a knowledge system for customer support

Przysucha, Bartosz; Kaleta, Paweł; Dmowski, Artur; … - In: European research studies 27 (2024), pp. 150-159

Persistent link: https://www.econbiz.de/10014543778

An ensemble learning-based framework for breast cancer prediction

Sharma, Aman; Goyal, Divyam; Mohana, Rajni - In: Decision analytics journal 10 (2024), pp. 1-15

(UCI) machine learning repository. The dataset contains 30 features, including mean, standard error, and "worst" values … effectiveness of the proposed model, incorporating multiple machine learning algorithms such as the Decision Tree Classifier … of AI techniques and machine learning algorithms in advancing breast cancer prediction and diagnosis, offering promising …

Persistent link: https://www.econbiz.de/10014543779

Chatbot to support the customer service process

Smutek, Tomasz; Marczuk, Marcin; Jarmuł, Michał; … - In: European research studies 27 (2024), pp. 160-168

Persistent link: https://www.econbiz.de/10014543787