Frontiers in Big Data | Machine Learning and Artificial Intelligence

Original Research

Published on 14 Jun 2024

An encoding framework for binarized images using hyperdimensional computing

in Machine Learning and Artificial Intelligence

Laura Smets
Werner Van Leekwijck
Ing Jyh Tsang
Steven Latré

Frontiers in Big Data

doi 10.3389/fdata.2024.1371518

1,293 views

Methods

Published on 05 Jun 2024

Unilateral boundary time series forecasting

in Machine Learning and Artificial Intelligence

Chao-Min Chang
Cheng-Te Li
Shou-De Lin

Frontiers in Big Data

doi 10.3389/fdata.2024.1376023

1,171 views

Original Research

Published on 09 May 2024

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions

in Machine Learning and Artificial Intelligence

Raed Alsini
Qasem Abu Al-Haija
Abdulaziz A. Alsulami
Badraddin Alturki
Abdulaziz A. Alqurashi
Mouhamad D. Mashat
Ali Alqahtani
Nawaf Alhebaishi

Frontiers in Big Data

doi 10.3389/fdata.2024.1369895

2,892 views

Original Research

Published on 08 Apr 2024

Acupuncture and tuina knowledge graph with prompt learning

in Machine Learning and Artificial Intelligence

Xiaoran Li
Xiaosong Han
Siqing Wei
Yanchun Liang
Renchu Guan

Frontiers in Big Data

doi 10.3389/fdata.2024.1346958

1,766 views

Original Research

Published on 22 Mar 2024

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study

in Machine Learning and Artificial Intelligence

Alina Amanzholova
Aysun Coşkun

Frontiers in Big Data

doi 10.3389/fdata.2024.1359703

2,445 views
2 citations

Original Research

Published on 08 Jan 2024

A novel approach to fake news classification using LSTM-based deep learning models

in Machine Learning and Artificial Intelligence

Halyna Padalko
Vasyl Chomko
Dmytro Chumachenko

Frontiers in Big Data

doi 10.3389/fdata.2023.1320800

5,497 views
7 citations

Original Research

Published on 14 Nov 2023

Integrating geometries of ReLU feedforward neural networks

in Machine Learning and Artificial Intelligence

Yajing Liu
Turgay Caglar
Christopher Peterson
Michael Kirby

Frontiers in Big Data

doi 10.3389/fdata.2023.1274831

1,348 views

Mini Review

Published on 23 Aug 2023

Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

in Machine Learning and Artificial Intelligence

Casey Watters
Michal K. Lemanski

Frontiers in Big Data

doi 10.3389/fdata.2023.1224976

11,400 views
20 citations

Review

Published on 17 Aug 2023

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

in Machine Learning and Artificial Intelligence

Claudia Cavallaro
Vincenzo Cutello
Mario Pavone
Francesco Zito

Frontiers in Big Data

doi 10.3389/fdata.2023.1179625

3,714 views
3 citations

Perspective

Published on 07 Aug 2023

Artificial intelligence research strategy of the United States: critical assessment and policy recommendations

in Machine Learning and Artificial Intelligence

Furkan Gursoy
Ioannis A. Kakadiaris

Frontiers in Big Data

doi 10.3389/fdata.2023.1206139

3,657 views
1 citation

Original Research

Published on 04 Aug 2023

Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

in Machine Learning and Artificial Intelligence

Petr Kolar
Umair bin Waheed
Leo Eisner
Petr Matousek

Frontiers in Big Data

doi 10.3389/fdata.2023.1174478

1,773 views

Methods

Published on 24 Jul 2023

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning

in Machine Learning and Artificial Intelligence

Revathy Venkataramanan
Swati Padhee
Saini Rohan Rao
Ronak Kaoshik
Anirudh Sundara Rajan
Amit Sheth

Frontiers in Big Data

doi 10.3389/fdata.2023.1200840

1,862 views

Original Research

Published on 20 Jul 2023

Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing

in Machine Learning and Artificial Intelligence

Elizabeth Thomas
Ferid Ben Ali
Arvind Tolambiya
Florian Chambellant
Jérémie Gaveau

Frontiers in Big Data

doi 10.3389/fdata.2023.921355

2,188 views
4 citations

Original Research

Published on 15 Jun 2023

PME: pruning-based multi-size embedding for recommender systems

in Machine Learning and Artificial Intelligence

Zirui Liu
Qingquan Song
Li Li
Soo-Hyun Choi
Rui Chen
Xia Hu

Frontiers in Big Data

doi 10.3389/fdata.2023.1195742

2,257 views

Original Research

Published on 09 Jun 2023

Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data

in Machine Learning and Artificial Intelligence

S. Saminathan
C. Malathy

Frontiers in Big Data

doi 10.3389/fdata.2023.1175259

2,731 views
3 citations

Conceptual Analysis

Published on 12 May 2023

Just preparation for war and AI-enabled weapons

in Machine Learning and Artificial Intelligence

Mitt Regan
Jovana Davidovic

Frontiers in Big Data

doi 10.3389/fdata.2023.1020107

4,540 views
2 citations

Navigation group

Articles

An encoding framework for binarized images using hyperdimensional computing

Unilateral boundary time series forecasting

Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions

Acupuncture and tuina knowledge graph with prompt learning

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study

A novel approach to fake news classification using LSTM-based deep learning models

Integrating geometries of ReLU feedforward neural networks

Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

Artificial intelligence research strategy of the United States: critical assessment and policy recommendations

Arrival times by Recurrent Neural Network for induced seismic events from a permanent network

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning

Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing

PME: pruning-based multi-size embedding for recommender systems

Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data

Just preparation for war and AI-enabled weapons