Unsupervised feature based algorithms for time series extrinsic regression

Authors: David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony Bagnall

Source: Data Mining and Knowledge Discovery. 38:2141-2185

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Economics and Econometrics, Artificial intelligence, Time series, Feature (linguistics), Social Sciences, Machine Learning (stat.ML), 02 engineering and technology, Econophysics: Complexity in Financial Markets, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Feature Extraction, Machine Learning (cs.LG), Unsupervised, Anomaly Detection in High-Dimensional Data, Agent-Based Modeling, Statistics - Machine Learning, Artificial Intelligence, Machine learning, Series (stratigraphy), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Biology, Dynamic Time Warping, Statistics, Nonstationary Time Series, Paleontology, Linguistics, Computer science, Regression, FOS: Philosophy, ethics and religion, Algorithm, Economics, Econometrics and Finance, Philosophy, Signal Processing, Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Access URL: http://arxiv.org/abs/2305.01429

First-break prediction in 3-D land seismic data using the dynamic time warping algorithm

Authors: Wilker E. Souza, Alexsandro Guerra Cerqueira, Milton J. Porsani

Source: Geophysical Journal International. 237:402-418

Subject Terms: Earthquake Detection, Artificial intelligence, 4. Education, Geology, FOS: Earth and related environmental sciences, Clustering of Time Series Data and Algorithms, Machine Learning for Earthquake Early Warning Systems, Computer science, Algorithm, Real-Time Seismology, Artificial Intelligence, Signal Processing, Computer Science, Physical Sciences, Seismic Phase Picking, Dynamic time warping, Seismology, Geodesy, Dynamic Time Warping

Heart Sound Classification using the Nonlinear Dynamic Feature Approach along with Conventional Classifiers

Authors: Waseem Alromema, Eman Alduweib, Zaid Abduh

Source: Engineering, Technology & Applied Science Research. 13:10808-10813

Subject Terms: Pulmonary and Respiratory Medicine, Blind Source Separation and Independent Component Analysis, Artificial intelligence, Chaotic, Feature (linguistics), 02 engineering and technology, Speech recognition, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Quantum mechanics, Feature Extraction, Analysis of Cardiac and Respiratory Sounds, Engineering, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Internal medicine, Electronic engineering, Physics, 4. Education, Linguistics, Computer science, Sensitivity (control systems), FOS: Philosophy, ethics and religion, Philosophy, Signal Processing, Computer Science, Physical Sciences, Nonlinear system, Heart sounds, FOS: Languages and literature, Medicine, Nonlinear dynamical systems

Student’s Health Exercise Recognition Tool for E-Learning Education

Authors: Tamara Al Shloul, Madiha Javeed, Munkhjargal Gochoo, Suliman A. Alsuhibany, Yazeed Yasin Ghadi, Ahmad Jalal, Jeongmin Park

Source: Intelligent Automation & Soft Computing. 35:149-161

Subject Terms: Artificial intelligence, Kinematics, Linear discriminant analysis, Economics, Non-contact Physiological Monitoring Technology, Biomedical Engineering, Activity Recognition in Pervasive Computing Environments, 02 engineering and technology, FOS: Medical engineering, Clustering of Time Series Data and Algorithms, Activity Recognition, Task (project management), Identification (biology), Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Classical mechanics, Biology, Human–computer interaction, Physics, 4. Education, Botany, Computer science, Health Monitoring, Management, Computer Science, Physical Sciences, Signal Processing, Computer Vision and Pattern Recognition, Kalman filter

AUTOMATISE: Multiple Aspect Trajectory Data Mining Tool Library

Authors: Tarlis Tortelli Portela, Vânia Bogorny, Anna Bernasconi, Chiara Renso

Source: MDM 2022-23rd IEEE International Conference on Mobile Data Management, pp. 282–285, Paphos, Cyprus, Online, 6-9/06/2022
info:cnr-pdr/source/autori:Tortelli T.; Bogorny V.; Bernasconi A.; Renso C./congresso_nome:MDM 2022-23rd IEEE International Conference on Mobile Data Management/congresso_luogo:Paphos, Cyprus, Online/congresso_data:6-9%2F06%2F2022/anno:2022/pagina_da:282/pagina_a:285/intervallo_pagine:282–285
23rd IEEE International Conference on Mobile Data Management (MDM)
2022 23rd IEEE International Conference on Mobile Data Management (MDM)

Subject Terms: Artificial intelligence, Semantic Trajectories, Economics, Trajectory analysis, Astronomy, Trajectory Data Mining and Analysis, Trajectory, Social Sciences, Transportation, 02 engineering and technology, Clustering of Time Series Data and Algorithms, data mining, movelets, python, trajectory analysis, trajectory classification, Feature Extraction, Task (project management), 0202 electrical engineering, electronic engineering, information engineering, Data mining, Dimensionality Reduction, Visualization, Curse of dimensionality, Data visualization, Physics, Python (programming language), Computer science, Movelets, Programming language, Management, GPS Trajectories, Trajectory Data Mining, Signal Processing, Computer Science, Physical Sciences, Understanding Human Mobility Patterns

File Description: application/pdf

Anomaly Detection in Time Series: Current Focus and Future Challenges

Authors: Farrukh Arslan, A. Javaid, M. Awan, Ebad-ur-Rehman

Source: Artificial Intelligence ISBN: 9781837690268

Subject Terms: Artificial intelligence, Outlier Detection, Intrusion detection system, Change Detection, Pure mathematics, Data stream mining, Anomaly detection, Clustering of Time Series Data and Algorithms, Computer science, Data science, Process (computing), Anomaly Detection in High-Dimensional Data, Operating system, Artificial Intelligence, Field (mathematics), Computer Science, Physical Sciences, Signal Processing, Machine learning, FOS: Mathematics, Anomaly Detection, Adaptation to Concept Drift in Data Streams, Data mining, Mathematics

Access URL: https://mts.intechopen.com/articles/show/title/anomaly-detection-in-time-series-current-focus-and-future-challenges

User-centered visual explorer of in-process comparison in spatiotemporal space

Authors: Yuhan Dong, Oppermann Ian, Jie Liu, Xianglin Yuan, Nguyễn Quang Vịnh

Source: J Vis (Tokyo)

Subject Terms: Graph Visualization, History, Geometry, Epistemology, 02 engineering and technology, Clustering of Time Series Data and Algorithms, Data Exploration, Information visualization, Information Visualization, XXXXXX - Unknown, Regular Paper, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Image Quality Assessment in Multimedia Content, Data mining, Biology, Visualization, Human–computer interaction, Data visualization, Visual analytics, Visual space, Interactive Visualization, Computer science, Timeline, Process (computing), Programming language, FOS: Philosophy, ethics and religion, Philosophy, Information Visualization and Visual Data Mining, Archaeology, Computer Science, Physical Sciences, Signal Processing, Perception, Computer Vision and Pattern Recognition, Abstraction, Visual Representation, Block (permutation group theory), Mathematics, Neuroscience

File Description: print

Access URL: https://pubmed.ncbi.nlm.nih.gov/36406961

Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt

Authors: Xu-dong Liu, Bo-han Hou, Zhong-jun Xie, Ning Feng, Xiao-ping Dong

Source: Front Public Health
Frontiers in Public Health, Vol 12 (2024)

Subject Terms: Artificial neural network, Incremental Learning, Artificial intelligence, artificial intelligence technology, infectious disease, graph neural network, Infectious disease (medical specialty), 02 engineering and technology, Clustering of Time Series Data and Algorithms, Communicable Diseases, 7. Clean energy, Feature Extraction, Graph, Disease Outbreaks, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, time series prediction, Theoretical computer science, 0302 clinical medicine, Artificial Intelligence, gated recurrent unit, Machine learning, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Humans, Psychology, Disease, Adaptation to Concept Drift in Data Streams, Fourier Analysis, Unit (ring theory), COVID-19, Computer science, Mathematics education, 3. Good health, FOS: Psychology, Computer Science, Physical Sciences, Signal Processing, Medicine, Public Health, Neural Networks, Computer, Public aspects of medicine, RA1-1270

Access URL: https://pubmed.ncbi.nlm.nih.gov/38832222
https://doaj.org/article/d2954b0853de4282b91d9ebfa36687e0

Automatic classification of spread‐F types in ionogram images using support vector machine and convolutional neural network

Authors: Phongsachot Benchawattananon, Apirat Siritaratiwat, Pornchai Supnithi, Michi Nishioka, Septi Perwitasari, Puripong Suthisopapan, A. Kruesubthaworn

Source: Earth, Planets and Space, Vol 76, Iss 1, Pp 1-14 (2024)

Subject Terms: Artificial neural network, Artificial intelligence, Support vector machine, Image classification, Convolutional neural network, 02 engineering and technology, Speech recognition, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Electron, Quantum mechanics, 01 natural sciences, Feature Extraction, Anomaly Detection in High-Dimensional Data, Artificial Intelligence, Image preprocessing, 11. Sustainability, Geography. Anthropology. Recreation, 0202 electrical engineering, electronic engineering, information engineering, Pattern Discovery, Image Denoising, 14. Life underwater, Ionogram, Convolution neural network, 0105 earth and related environmental sciences, QB275-343, QE1-996.5, Spread-F, Physics, 4. Education, Geology, 15. Life on land, Computer science, Ionogram image, 13. Climate action, Signal Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Geodesy, Electron density

Access URL: https://doaj.org/article/b54a60d308f74ee794df9c757203f4d0

Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning

Authors: Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, Jose F. Rodrigues-Jr, Jimeng Sun

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:5368-5384

Subject Terms: I.2, FOS: Computer and information sciences, Artificial neural network, Computer Science - Machine Learning, Artificial intelligence, Time series, I.5, Computer Science - Artificial Intelligence, Electricity Price and Load Forecasting Methods, 37M10, 68T07, 68T05, 68T37, 82C32, Recurrent neural network, Social Sciences, Machine Learning (stat.ML), 02 engineering and technology, Management Science and Operations Research, Clustering of Time Series Data and Algorithms, Graph, Machine Learning (cs.LG), Decision Sciences, Forecasting Models, Engineering, Deep Learning, Theoretical computer science, Statistics - Machine Learning, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Series (stratigraphy), 0202 electrical engineering, electronic engineering, information engineering, Pattern Discovery, Neural and Evolutionary Computing (cs.NE), I.2.4, I.2.6, I.5.1, Electrical and Electronic Engineering, Time Series Analysis, Biology, Hyperparameter, Time Series Forecasting, Computer Science - Neural and Evolutionary Computing, Paleontology, Predicting Stock Market Trends and Movements, Deep learning, Computer science, Multivariate statistics, Artificial Intelligence (cs.AI), Signal Processing, Computer Science, Physical Sciences

Access URL: https://ieeexplore.ieee.org/ielx7/34/4359286/09416768.pdf
https://pubmed.ncbi.nlm.nih.gov/33905327
http://arxiv.org/abs/2008.12833
https://ieeexplore.ieee.org/document/9416768
https://arxiv.org/pdf/2008.12833.pdf
https://europepmc.org/article/MED/33905327
http://ui.adsabs.harvard.edu/abs/2020arXiv200812833S/abstract
https://www.computer.org/csdl/journal/tp/5555/01/09416768/1t8VSzT9Cj6
https://www.computer.org/csdl/api/v1/periodical/trans/tp/5555/01/09416768/1t8VSzT9Cj6/download-article/pdf

Impact of augmentation methods in online signature verification

Authors: Dawid Najda, Khalid Saeed

Source: Innovations in Systems and Software Engineering. 20:477-483

Subject Terms: Artificial neural network, Artificial intelligence, Data set, Geometry, Set (abstract data type), 02 engineering and technology, Augmentation, Signature, Handwriting Recognition and Text Detection, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Deep Learning, Artificial Intelligence, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Signature Verification, Dimensionality Reduction, Signature (topology), 4. Education, Verification, Statistical Machine Translation and Natural Language Processing, Document Image Analysis, Computer science, Programming language, Biometrics, Computer Science, Physical Sciences, Signal Processing, Computer Vision and Pattern Recognition, Mathematics, Online signature, Handwriting Recognition

File Description: 7 páginas; application/pdf

An Efficient Temporal Inter-Object Association Rule Mining Algorithm on Time Series

Authors: Nguyen Thanh Vu, Vo Thi Ngoc Chau

Source: Vietnam Journal of Computer Science, Vol 09, Iss 04, Pp 475-510 (2022)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Time series, Association (psychology), Trajectory Data Mining and Analysis, Geometry, temporal pattern mining, Information technology, Epistemology, Clustering of Time Series Data and Algorithms, 7. Clean energy, Cluster analysis, Point (geometry), Data Mining Techniques and Applications, Machine learning, Temporal Data Mining, Series (stratigraphy), FOS: Mathematics, Pattern Discovery, Data mining, Biology, Dynamic Time Warping, Association rule mining, Association rule learning, parallel temporal pattern tree, 4. Education, Paleontology, QA75.5-76.95, T58.5-58.64, 16. Peace & justice, Computer science, Process (computing), FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Operating system, Frequent Patterns, Electronic computers. Computer science, Trajectory Data Mining, time series mining, Computer Science, Physical Sciences, Signal Processing, Object (grammar), Mathematics, multithreading, Information Systems

Access URL: https://doaj.org/article/c5487e5dd9e8484eb7718498f146edb5

Adaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream Classification

Authors: S. Priya, Annie Uthra

Source: Journal of Computer Science. 18:650-664

Subject Terms: Artificial intelligence, One-class classification, Data pre-processing, Synthetic data, Support vector machine, 02 engineering and technology, Concept drift, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Data classification, Bandwidth (computing), Anomaly Detection in High-Dimensional Data, Artificial Intelligence, Machine learning, Data stream, 0202 electrical engineering, electronic engineering, information engineering, Adaptation to Concept Drift in Data Streams, Data mining, Preprocessor, Adaptive Algorithms, Ensemble Learning, Computer network, Change Detection, Oversampling, Streaming Data, Data stream mining, Computer science, Algorithm, Multiclass classification, Computer Science, Physical Sciences, Signal Processing, Telecommunications, High-Dimensional Data, Classifier (UML)

Short-Term Ambient Temperature Forecasting for Smart Heaters

Authors: Carastan-Santos, Danilo, da Silva, Anderson Andrei, Trystram, Denis, Goldman, Alfredo, Mitra, Angan, Ngoko, Yanik, Mommessin, Clément

Contributors: DA SILVA, Anderson Andrei

Source: 2021 IEEE Symposium on Computers and Communications (ISCC). :1-6

Subject Terms: Exploit, Environmental Engineering, Time series, 0211 other engineering and technologies, 02 engineering and technology, [INFO] Computer Science [cs], Clustering of Time Series Data and Algorithms, Quantum mechanics, 7. Clean energy, 01 natural sciences, Term (time), Real-time computing, Environmental science, Low-Cost Air Quality Monitoring Systems, Meteorology, Engineering, Artificial Intelligence, Computer security, Machine learning, Cloud computing, Adaptation to Concept Drift in Data Streams, 0105 earth and related environmental sciences, Physics, FOS: Environmental engineering, Air Quality Monitoring, Edge computing, Computer science, Enhanced Data Rates for GSM Evolution, Energy consumption, Operating system, 13. Climate action, Electrical engineering, Signal Processing, Computer Science, Physical Sciences, Environmental Science, Telecommunications, Forecasting

File Description: application/pdf

Access URL: https://hal.inria.fr/hal-03364728/file/Short_Term_Forecasting_Smart_Heaters_Time_Seris_Temperatures%2842%29.pdf
https://inria.hal.science/hal-03364728v1

Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations

Authors: Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal

Source: Proceedings of the Web Conference 2021. :183-193

Subject Terms: Artificial intelligence, Generative grammar, Missing data, Population, Resource (disambiguation), population health, missing data recovery, generative adversarial network, Health Professions, Convolutional neural network, Nursing, 02 engineering and technology, FOS: Health sciences, Clustering of Time Series Data and Algorithms, Data science, 03 medical and health sciences, 0302 clinical medicine, Health Information Management, Inference, Artificial Intelligence, Health Sciences, Machine learning, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Disease, 10. No inequality, Clinical Event Prediction, Disease Risk Prediction, Data mining, 2. Zero hunger, Public health, Computer network, Machine Learning in Healthcare and Medicine, Deep Learning Applications in Healthcare, Medical Concept Embedding, Deep learning, 16. Peace & justice, Computer science, 3. Good health, World Wide Web, Environmental health, Computer Science, Physical Sciences, Signal Processing, Medicine, The Internet, Generative model

File Description: application/pdf

Access URL: https://www2021.thewebconf.org/program/papers-program/#17
https://dblp.uni-trier.de/db/conf/www/www2021.html#FengWWH21
https://dl.acm.org/doi/pdf/10.1145/3442381.3449811
https://pureportal.coventry.ac.uk/en/publications/completing-missing-prevalence-rates-for-multiple-chronic-diseases
https://doi.org/10.1145/3442381.3449811
https://hdl.handle.net/11585/999809
https://dl.acm.org/doi/10.1145/3442381.3449811
https://doi.org/10.1145/3442381.3449811

A novel similarity measure for multiple aspect trajectory clustering

Authors: Iraklis Varlamis, Christos Sardianos, Vânia Bogorny, Luís Otávio Älvares, Jônata Tyska Carvalho, Chiara Renso, Raffaele Perego, John Violos

Source: SAC 21-36th Annual ACM Symposium on Applied Computing, pp. 551–558, Online Conference, 22-26/03/2021
info:cnr-pdr/source/autori:Varlamis I.; Sardianos C.; Bogorny V.; Alvares L.O.; Carvalho J.T.; Renso C.; Perego R.; Violos J./congresso_nome:SAC 21-36th Annual ACM Symposium on Applied Computing/congresso_luogo:Online Conference/congresso_data:22-26%2F03%2F2021/anno:2021/pagina_da:551/pagina_a:558/intervallo_pagine:551–558
SAC
Proceedings of the 36th Annual ACM Symposium on Applied Computing

Subject Terms: Artificial intelligence, Similarity Search, Semantic Trajectories, FOS: Political science, Trajectory Data Mining and Analysis, Social Sciences, Transportation, FOS: Law, 02 engineering and technology, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Clustering, Hierarchical clustering, Trajectories, Cluster analysis, Similarity measure, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Similarity (geometry), CURE data clustering algorithm, Data mining, Political science, Fuzzy clustering, Politics, Measure (data warehouse), Computer science, Semantic trajectories, Semantic similarity, Trajectory Data Mining, Signal Processing, Computer Science, Physical Sciences, Similarity Measures, Consensus clustering, Representation (politics), Law, Understanding Human Mobility Patterns

File Description: application/pdf

Access URL: https://dl.acm.org/doi/pdf/10.1145/3412841.3441935
https://dblp.uni-trier.de/db/conf/sac/sac2021.html#VarlamisSBACR0V21
https://doi.org/10.1145/3412841.3441935
https://hdl.handle.net/20.500.14243/399396
https://doi.org/10.1145/3412841.3441935

Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques

Authors: Candelaria de Haro, Verónica Santos-Pulpón, Irene Telías, Alba Xifra-Porxas, Carles Subirà, Montserrat Batlle, Rafael Fernández, Gastón Murias, Guillermo M. Albaiceta, Sol Fernández-Gonzalo, Marta Godoy-González, Gemma Gomà, Sara Nogales, Oriol Roca, Tai Pham, Josefina López-Aguilar, Rudys Magrans, Laurent Brochard, Lluís Blanch, Leonardo Sarlabous, Irene Telias, Felipe Damiani, Ricard Artigas, Cesar Santis, Tài Pham, Tommaso Mauri, Elena Spinelli, Giacomo Grasselli, Savino Spadaro, Carlo Alberto Volta, Francesco Mojoli, Dimitris Georgopoulos, Eumorfia Kondili, Stella Soundoulounaki, Tobias Becher, Norbert Weiler, Dirk Schaedler, Manel Santafe, Jordi Mancebo, Nuria Rodríguez, Leo Heunks, Heder de Vries, Chang-Wen Chen, Jian-Xin Zhou, Guang-Qiang Chen, Nuttapol Rit-tayamai, Norberto Tiribelli, Sebastian Fredes, Ricard Mellado Artigas, Carlos Ferrando Ortolá, François Beloncle, Alain Mercat, Jean-Michel Arnal, Jean-Luc Diehl, Alexandre Demoule, Martin Dres, Quentin Fossé, Sébastien Jochmans, Jonathan Chelly, Nicolas Terzi, Claude Guérin, E. Baedorf Kassis, Jeremy Beitler, Davide Chiumello, Erica Ferrari Luca Bol-giaghi, Arnaud W. Thille, Rémi Coudroy, Laurent Papazian

Contributors: Universitat Autònoma de Barcelona, HAL UVSQ, Équipe, Hospital Universitari Parc Taulí Sabadell, Spain (HUPT), Centro de Investigación Biomédica en Red Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III Madrid (ISCIII), Keenan Research Centre of the Li Ka Shing Knowledge Institute Toronto, University of Toronto, Althaia Xarxa Assistencial Universitària de Manresa Manresa, Spain, Hospital Britanico de Buenos Aires, Hospital Universitario Central de Asturias (HUCA), Universidad de Oviedo = University of Oviedo, Centro de Investigación Biomédica en Red Salud Mental Madrid (CIBER-SAM), Servei d'Hematologia, Hospital de Sabadell, Institut Universitari Parc Taulí, Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona (UAB), Hôpital Bicêtre AP-HP, Le Kremlin-Bicêtre, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Groupe de recherche clinique CARMAS (Cardiovascular and Respiratory Manifestations of Acute lung injury and Sepsis) (CARMAS), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-CHU Henri Mondor Créteil, Better Care Sabadell, Spain, Instituto de Salud Carlos III, Pla Estratègic de Recerca i Innovació en Salut, Ministerio de Ciencia e Innovación and Unión Europea, de Catalunya and Fundació Institut du2019Investigació i Innovació Parc Taulí-I3PT, Agencia Estatal de Investigación, Health Department of Generalitat de Catalunya, Spain, European Regional Development Fund, FEDER EU, CIBER-Consorcio Centro de Investigación Biomédica en

Source: Crit Care
WOS:001185683100004
RUO. Repositorio Institucional de la Universidad de Oviedo
Universidad de Oviedo (UNIOVI)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Subject Terms: Adult, Flow starvation, [SDV]Life Sciences [q-bio], Asynchronies, Clustering of Time Series Data and Algorithms, Mechanics, Anomaly Detection in High-Dimensional Data, 03 medical and health sciences, Artificial intelligence algorithms, 0302 clinical medicine, Deep Learning, Artificial Intelligence, Health Sciences, Humans, Intensive care medicine, Lung, Internal medicine, Patient-ventilator interaction, 2. Zero hunger, Ventilators, Mechanical, Research, Physics, Respiration, Artificial, 3. Good health, [SDV] Life Sciences [q-bio], Starvation, Patientu2013ventilator interaction, Analysis and Applications of Heart Rate Variability, Signal Processing, Computer Science, Physical Sciences, Airway pressure deformation, Medicine, Cardiology and Cardiovascular Medicine, Flow (mathematics)

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38486268
https://hdl.handle.net/10651/75145

Applying machine learning algorithms to predict the stock price trend in the stock market – The case of Vietnam

Authors: Tran Phuoc, Pham Thi Kim Anh, Phan Huy Tam, Van Chien Nguyen

Source: Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-18 (2024)

Subject Terms: Artificial intelligence, Economics, Social Sciences, 02 engineering and technology, Automated Currency Recognition and Authentication, Management Science and Operations Research, Pattern Recognition, Clustering of Time Series Data and Algorithms, LSTM Networks, Decision Sciences, Forecasting Models, FOS: Economics and business, Context (archaeology), Moving average, Support Vector Machines, AZ20-999, 0502 economics and business, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Series (stratigraphy), Econometrics, Biology, Stock Market Prediction, Stock market, Geography, 05 social sciences, Stock market index, Paleontology, Predicting Stock Market Trends and Movements, Computer science, Stock price, Archaeology, Signal Processing, Computer Science, Physical Sciences, 8. Economic growth, Stock (firearms), History of scholarship and learning. The humanities, Computer vision, Computer Vision and Pattern Recognition

Access URL: https://doaj.org/article/7508f6e92576472dae659fab848932cf

LCDDF: An Adaptive and Learning based Framework with Feature Selection for Efficient Detection of Concept Drift in Data Streams

Authors: M. Trupthi, Narasimha Chary, SOWJANYA SNEHA, M. A. Prasad, M. K.

Subject Terms: Artificial intelligence, Outlier Detection, Feature (linguistics), Adaptive learning, Concept drift, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Anomaly Detection in High-Dimensional Data, Selection (genetic algorithm), Artificial Intelligence, Data Streams, Machine learning, Data stream, STREAMS, Pattern Discovery, Adaptation to Concept Drift in Data Streams, Data mining, Computer network, 9. Industry and infrastructure, Change Detection, Concept Drift, Data stream mining, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Streaming data, Computer Science, Physical Sciences, Signal Processing, Feature selection, Telecommunications, FOS: Languages and literature

RespirAnalyzer: an R package for analyzing data from continuous monitoring of respiratory signals

Authors: Teng Zhang, Xueyi Dong, Dandan Wang, Chen Huang, Xiaohua Douglas Zhang

Source: Bioinform Adv

Subject Terms: 0301 basic medicine, Economics and Econometrics, Time series, Social Sciences, Econophysics: Complexity in Financial Markets, Clustering of Time Series Data and Algorithms, Quantum mechanics, 03 medical and health sciences, Application Note, Health Sciences, Machine learning, Entropy (arrow of time), Data mining, 0303 health sciences, Physics, 4. Education, R package, Computational science, Computer science, 3. Good health, Economics, Econometrics and Finance, Multifractal Analysis, Analysis and Applications of Heart Rate Variability, Signal Processing, Computer Science, Physical Sciences, Medicine, Cardiology and Cardiovascular Medicine

Access URL: https://pubmed.ncbi.nlm.nih.gov/38269257