Výsledky vyhledávání - "Structured data in Machine Learning"

Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning Application

Autoři: Wei, Yusi Benson, Hande Y. Agor, Joseph K. a další

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2501.01002

Multi-Objective Optimization-Based Anonymization of Structured Data for Machine Learning

Autoři: Wei, Yusi Benson, Hande Y. Agor, Joseph K. a další

Témata: Computer Science - Machine Learning, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2501.01002

Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.

Autoři: Mohammad Moharrami Parnia Azimian Zavareh Erin Watson a další

Zdroj: PLoS ONE, Vol 19, Iss 7, p e0307531 (2024)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1932-6203

Přístupová URL adresa: https://doaj.org/article/1c80dd005e984978979891e84bea1e98

Augmenting Linguistic Semi-Structured Data for Machine Learning - A Case Study using Framenet

Autoři: Aline Paes Bernardo Gonçalves Breno W. S. R. Carvalho

Zdroj: Computer Science & Information Technology (CS & IT). :01-13

Přístupová URL adresa: https://aircconline.com/csit/abstract/v10n12/csit101201.html
https://aircconline.com/csit/papers/vol10/csit101201.pdf

Named Entity Extraction from Semi-structured Data Using Machine Learning Algorithms

Autoři: Madina Mansurova Vladimir Barakhnin Yerzhan Khibatkhanuly a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783030283735

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-28374-2_6
https://doi.org/10.1007/978-3-030-28374-2_6
https://rd.springer.com/chapter/10.1007/978-3-030-28374-2_6

System and method for enhanced characterization of structured data for machine learning

Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.

Autoři: Moharrami, Mohammad Azimian Zavareh, Parnia Watson, Erin a další

Zdroj: PLoS ONE; 7/24/2024, Vol. 19 Issue 7, p1-35, 35p

Témata: PROGRESSION-free survival, HEAD & neck cancer, PROPORTIONAL hazards models, OVERALL survival, RECEIVER operating characteristic curves, SURVIVAL rate, MACHINE learning, ISOLATION perfusion

ILP turns 20: Biography and future challenges

Autoři: Muggleton, Stephen De Raedt, Luc Poole, David a další

Zdroj: Machine Learning. 86:3-23

Témata: ILP, Technology, Science & Technology, (Statistical) relational learning, INDUCTION, 1702 Cognitive Sciences, MODELS, INHIBITION, 02 engineering and technology, Computer Science, Artificial Intelligence, 4611 Machine learning, 0806 Information Systems, Computer Science, LOGIC, 0801 Artificial Intelligence and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Artificial Intelligence & Image Processing, Inductive Logic Programming, Structured data in Machine Learning

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10994-011-5259-2.pdf
https://link.springer.com/article/10.1007/s10994-011-5259-2
https://doi.org/10.1007/s10994-011-5259-2
https://dl.acm.org/doi/10.1007/s10994-011-5259-2
https://dblp.uni-trier.de/db/journals/ml/ml86.html#MuggletonRPBFIS12
https://paperity.org/p/7481484/ilp-turns-20
https://lirias.kuleuven.be/handle/123456789/315572
https://doi.org/10.1007/s10994-011-5259-2

A theoretical model of factors influencing online consumer purchasing behavior through electronic word of mouth data mining and analysis.

Autoři: Wang, Qiwei Zhu, Xiaoya Wang, Manman a další

Zdroj: PLoS ONE; 5/18/2023, Vol. 18 Issue 5, p1-22, 22p

Témata: DATA mining, CONSUMER behavior, COVID-19 pandemic, DATA analysis, K-means clustering, BLACKBERRIES

Geografický termín: CHINA

Monetization and Engagement in Social Live Streaming Services

Autoři: Koh, Kane Jie Xuan

Témata: Subscription, social live streaming services, content monetization, pay-what-you-want, consumer-to-consumer, gifting, panel vector autoregression model, customer lifetime value, machine learning, Creator economy, toxicity, benign violation theory, social exchange theory, PhD thesis

URL: http://hdl.handle.net/11343/354724

GenNI: Human-AI Collaboration for Data-Backed Text Generation.

Autoři: Strobelt, Hendrik Kinley, Jambay Krueger, Robert a další

Zdroj: IEEE Transactions on Visualization & Computer Graphics; Jan2022, Vol. 28 Issue 1, p1106-1116, 11p

Témata: MACHINE learning, DEEP learning, SOURCE code, ARTIFICIAL intelligence, NATURAL languages, TASK analysis

Signal Preprocessing, Decomposition and Feature Extraction Methods in EEG-Based BCIs.

Autoři: Mdluli, Bandile Khumalo, Philani Maswanganyi, Rito Clifford

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12075, 36p

Témata: SIGNAL processing, FEATURE extraction, MACHINE learning, WAVELETS (Mathematics), ELECTROENCEPHALOGRAPHY, BRAIN-computer interfaces, INDEPENDENT component analysis, DEEP learning

Tokenization of electronic health records and healthcare data: enhancing security and privacy while enabling usability.

Autoři: Ferreira, João Carlos Elvas, Luis B. Correia, Ricardo a další

Zdroj: Health & Technology; Nov2025, Vol. 15 Issue 6, p1011-1020, 10p

Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility–accuracy-readability study of the DIAN AI assistant.

Autoři: Valan, P. Venugopal, Pulidindi

Zdroj: Frontiers in Artificial Intelligence; 2025, p1-11, 11p

Do LLMs Offer a Robust Defense Mechanism Against Membership Inference Attacks on Graph Neural Networks?

Autoři: Jnaini, Abdellah Koulali, Mohammed-Amine

Zdroj: Computers (2073-431X); Oct2025, Vol. 14 Issue 10, p414, 20p

Témata: GRAPH neural networks, PRIVACY, DEEP learning, LANGUAGE models, DATA privacy

Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China.

Autoři: Xu, Zhixin Zheng, Xin Li, Xiangfeng

Zdroj: Frontiers of Architectural Research; Oct2025, Vol. 14 Issue 5, p1168-1195, 28p

Applying Machine Learning Models for Decision Support in Maritime Surveillance: Predicting Illegal Activities in National Sovereignty Areas

Autoři: Nunes, André Francisco Taveira Seixas Jardim, João Bruno Morais de Sousa RUN

Přispěvatelé: Nunes, André Francisco Taveira Seixas Jardim, João Bruno Morais de Sousa RUN

Témata: Maritime Surveillance, Machine Learning, Decision Support Systems, Illegal Activities Prediction, Spatiotemporal Data Analysis, SDG 14 - Life below water, SDG 16 - Peace, justice and strong institutions, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/190969

The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study.

Autoři: da Silva, Rildo Pinto Pazin-Filho, Antonio

Zdroj: BMC Medical Informatics & Decision Making; 9/26/2025, Vol. 25 Issue 1, p1-18, 18p

Témata: NATURAL language processing, MACHINE learning, METADATA, MEDICAL records, COMPARATIVE studies, COVID-19, DEATH forecasting, RANDOM forest algorithms

Landslide Susceptibility Assessment in Ya'an Based on Coupling of GWR and TabNet.

Autoři: Li, Jiatian Wang, Ruirui Shi, Wei a další

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2678, 25p

Témata: LANDSLIDE hazard analysis, DEEP learning, HAZARD mitigation, STATISTICAL models, SPATIAL analysis (Statistics)

Geografický termín: CHINA

Scalable Graph Learning with Graph Convolutional Networks and Graph Attention Networks: Addressing Class Imbalance Through Augmentation and Optimized Hyperparameter Tuning.

Autoři: Touate, Chaima Ahle El Ayachi, Rachid Biniz, Mohamed

Zdroj: International Journal of Advanced Computer Science & Applications; 2025, Vol. 16 Issue 7, p390-400, 11p