Search Results - "Expert systems with applications" :: K.UTB vyhledávací portál

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A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions

by Thakkar, Ankit, Chaudhari, Kinjal
Published in Expert systems with applications (01.09.2021)

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DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification

by Irfan, Muhammad, Jiangbin, Zheng, Ali, Shahid, Iqbal, Muhammad, Masood, Zafar, Hamid, Umar
Published in Expert systems with applications (30.11.2021)

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Stock price prediction using deep learning and frequency decomposition

by Rezaei, Hadi, Faaljou, Hamidreza, Mansourfar, Gholamreza
Published in Expert systems with applications (01.05.2021)

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A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

by Abdel-Basset, Mohamed, El-Shahat, Doaa, El-henawy, Ibrahim, de Albuquerque, Victor Hugo C., Mirjalili, Seyedali
Published in Expert systems with applications (01.01.2020)

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An end-to-end deep learning approach to MI-EEG signal classification for BCIs

by Dose, Hauke, Møller, Jakob S., Iversen, Helle K., Puthusserypady, Sadasivan
Published in Expert systems with applications (30.12.2018)

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Literature review: Machine learning techniques applied to financial market prediction

by Henrique, Bruno Miranda, Sobreiro, Vinicius Amorim, Kimura, Herbert
Published in Expert systems with applications (15.06.2019)

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Human Evolutionary Optimization Algorithm

by Lian, Junbo, Hui, Guohua
Published in Expert systems with applications (01.05.2024)

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Effects of normalization on the entropy-based TOPSIS method

by Chen, Pengyu
Published in Expert systems with applications (01.12.2019)

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Tourism recommendation system based on semantic clustering and sentiment analysis

by Abbasi-Moud, Zahra, Vahdat-Nejad, Hamed, Sadri, Javad
Published in Expert systems with applications (01.04.2021)

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Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset

by Qorib, Miftahul, Oladunni, Timothy, Denis, Max, Ososanya, Esther, Cotae, Paul
Published in Expert systems with applications (01.02.2023)

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A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring

by Xia, Yufei, Liu, Chuanzhe, Li, YuYing, Liu, Nana
Published in Expert systems with applications (15.07.2017)

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Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

by Hosseini, Seyedmohsen, Ivanov, Dmitry
Published in Expert systems with applications (15.12.2020)

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Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting

by Carta, Salvatore, Ferreira, Anselmo, Podda, Alessandro Sebastian, Reforgiato Recupero, Diego, Sanna, Antonio
Published in Expert systems with applications (01.02.2021)

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Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methods

by Shang, Zilong, Yang, Xiaoying, Barnes, David, Wu, Chong
Published in Expert systems with applications (01.06.2022)

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Can ChatGPT provide intelligent diagnoses? A comparative study between predictive models and ChatGPT to define a new medical diagnostic bot

by Caruccio, Loredana, Cirillo, Stefano, Polese, Giuseppe, Solimando, Giandomenico, Sundaramurthy, Shanmugam, Tortora, Genoveffa
Published in Expert systems with applications (01.01.2024)

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Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data

by Natarajan, Senthilselvan, Vairavasundaram, Subramaniyaswamy, Natarajan, Sivaramakrishnan, Gandomi, Amir H.
Published in Expert systems with applications (01.07.2020)

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Selective Opposition based Grey Wolf Optimization

by Dhargupta, Souvik, Ghosh, Manosij, Mirjalili, Seyedali, Sarkar, Ram
Published in Expert systems with applications (01.08.2020)

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A fuzzy C-means algorithm for optimizing data clustering

by Hashemi, Seyed Emadedin, Gholian-Jouybari, Fatemeh, Hajiaghaei-Keshteli, Mostafa
Published in Expert systems with applications (01.10.2023)

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Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development

by Askari, Salar
Published in Expert systems with applications (01.03.2021)

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ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

by Baek, Yujin, Kim, Ha Young
Published in Expert systems with applications (15.12.2018)

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