Výsledky vyhledávání - "Computing methodologies Machine learning Learning paradigms"

Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation Campaigns

Autoři: Xu, Xiaofei Deng, Ke Zhang, Xiuzhen

Témata: Computing methodologies -- Machine learning -- Learning paradigms -- Reinforcement learning, Information systems -- World Wide Web -- Web applications -- Social networks, Mathematics of computing -- Probability and statistics -- Stochastic processes

Relation: ispartof: WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining spage 1206 epage 1214; WOS:000810504300128; 991005796260407891; alma:61MUN_INST/bibs/991005796260407891

Dostupnost: https://doi.org/10.1145/3488560.3498457
https://researchportal.murdoch.edu.au/esploro/outputs/conferenceProceeding/Identifying-Cost-effective-Debunkers-for-Multi-stage-Fake/991005796260407891

Identifying Earmarks in Congressional Bills

Autoři: Mullane, Marianne J Barnett, Timothy C. Cannon, Jeffrey W. a další

Témata: Computing methodologies -- Artificial intelligence -- Natural language processing, Computing methodologies -- Machine learning -- Learning paradigms -- Supervised learning, Information systems -- Information retrieval -- Retrieval tasks and goals -- Information extraction

Relation: ispartof: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining spage 303 epage 311; WOS:000485529800037; 991005637963707891; alma:61MUN_INST/bibs/991005637963707891

Dostupnost: https://doi.org/10.1145/2939672.2939711
https://researchportal.murdoch.edu.au/esploro/outputs/conferenceProceeding/Identifying-Earmarks-in-Congressional-Bills/991005637963707891

A bibliometric study toward quantitative research assessment of security of machine learning.

Autoři: Paracha, Anum Arshad, Junaid

Zdroj: Information Discovery & Delivery; 2025, Vol. 53 Issue 4, p481-498, 18p

Enabling Social Robots to Perceive and Join Socially Interacting Groups Using F-formation: A Comprehensive Overview.

Autoři: Barua, Hrishav Bakul Mg, Theint Haythi Pramanick, Pradip a další

Zdroj: ACM Transactions on Human-Robot Interaction; Dec2024, Vol. 13 Issue 4, p1-48, 48p

Témata: SOCIAL group work, HUMAN-robot interaction, ARTIFICIAL intelligence, GROUP formation, COMPUTER vision

On-device Training: A First Overview on Existing Systems.

Autoři: Zhu, Shuai Voigt, Thiemo Rahimian, Fatemeh a další

Zdroj: ACM Transactions on Sensor Networks; Nov2024, Vol. 20 Issue 6, p1-39, 39p

Témata: ARTIFICIAL intelligence, MACHINE learning, MOBILE computing, DEEP learning, INFORMATION sharing

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization.

Autoři: Sun, Mingchen Li, Yingji Wang, Ying a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-24, 24p

Témata: MACHINE learning, GENERALIZATION, LEARNING

Constructive Preference Elicitation over Hybrid Combinatorial Spaces

Autoři: Dragone, Paolo Teso, Stefano Passerini, Andrea

Témata: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1711.07875

Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels.

Autoři: Tsouvalas, Vasileios Saeed, Aaqib Ozcelebi, Tanir a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Apr2024, Vol. 15 Issue 2, p1-26, 26p

Témata: FEDERATED learning, MACHINE learning, DATA scrubbing, DEEP learning, IMAGE encryption

High-Frequency Quantitative Trading of Digital Currencies Based on Fusion of Deep Reinforcement Learning Models with Evolutionary Strategies.

Autoři: Yijun He Bo Xu Xinpu Su

Zdroj: Journal of Computing & Information Technology; Mar2024, Vol. 32 Issue 1, p33-45, 13p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, DIGITAL currency, MACHINE learning, CRYPTOCURRENCIES, DATA scrubbing, DEEP learning, EVOLUTIONARY models

Neural Architecture Search Survey: A Hardware Perspective.

Autoři: CHITTY-VENKATA, KRISHNA TEJA SOMANI, ARUN K.

Zdroj: ACM Computing Surveys; May2023, Vol. 55 Issue 4, p1-36, 36p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, NETWORK-attached storage, COMPUTER vision, ARCHITECTURAL design, IMAGE processing

A Survey on Trust Evaluation Based on Machine Learning.

Autoři: JINGWEN WANG XUYANG JING ZHENG YAN a další

Zdroj: ACM Computing Surveys; Sep2021, Vol. 53 Issue 5, p107-143, 37p

Témata: MACHINE learning, TRUST, ELECTRONIC data processing, BIG data

Optimization frameworks for machine learning: Examples and case study.

Autoři: Giesen, Joachim Laue, Sören Mitterreiter, Matthias

Zdroj: IT: Information Technology; May2020, Vol. 62 Issue 3, p169-180, 12p

Témata: MACHINE learning, SUPERVISED learning, MATHEMATICAL optimization

C4.5 Decision Tree Algorithm for Spatial Data, Alternatives and Performances.

Autoři: Oujdi, Sihem Belbachir, Hafida Boufares, Faouzi

Zdroj: Journal of Computing & Information Technology; 2019, Vol. 27 Issue 3, p29-43, 15p

Témata: DECISION trees, CLASSIFICATION algorithms, DATA mining, ALGORITHMS, GEOGRAPHIC spatial analysis, TRAFFIC accidents, DECISION support systems

A Shapelet Transform Classification over Uncertain Time Series.

Autoři: Ruizhe Ma Liangli Zuo Li Yan

Zdroj: Journal of Computing & Information Technology; 2019, Vol. 27 Issue 3, p15-28, 14p

Témata: TIME series analysis, UNCERTAIN systems, CLASSIFICATION, TIME management

A Simple Density with Distance Based Initial Seed Selection Technique for K Means Algorithm.

Autoři: Azimuddin, Sajidha Syed Desikan, Kalyani

Zdroj: Journal of Computing & Information Technology; Dec2017, Vol. 25 Issue 4, p291-300, 10p

Témata: K-means clustering, CLUSTER analysis (Statistics), CLUSTERING of particles, ALGORITHMS

Non-invasive Glaucoma Screening Using Ocular Thermal Image Classification.

Autoři: Nammalwar, Padmapriya Narasimhan, Venkateswaran Kannan, Toshita a další

Zdroj: Journal of Computing & Information Technology; 2017, Vol. 25 Issue 3, p227-236, 10p

Témata: THERMAL imaging cameras, RETINAL imaging, GLAUCOMA diagnosis, SUPPORT vector machines, THERMOGRAPHY

Open research challenges with Big Data ? A data-scientist's perspective.

Autoři: Sukumar, Sreenivas R.

Zdroj: 2015 IEEE International Conference on Big Data (Big Data); 2015, p1272-1278, 7p

Design considerations for a large-scale image-based text search engine in historical manuscript collections.

Autoři: Schomaker, Lambert

Zdroj: IT: Information Technology; 2016, Vol. 58 Issue 2, p80-88, 9p

Témata: HANDWRITING recognition (Computer science), SEARCH engines

Topological visual analysis of clusterings in high-dimensional information spaces.

Autoři: Oesterling, Patrick Jähnichen, Patrick Heyer, Gerhard a další

Zdroj: IT: Information Technology; Feb2015, Vol. 57 Issue 1, p3-10, 8p

Témata: CLUSTER analysis (Statistics), VISUAL analytics, TOPOLOGY, PROBABILISTIC inference, MACHINE learning

An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.

Autoři: Zhao S Xiao X Wang Q a další

Zdroj: International Symposium on Mixed and Augmented Reality : (ISMAR) [proceedings]. IEEE and ACM International Symposium on Mixed and Augmented Reality [Int Symp Mix Augment Real] 2020 Nov; Vol. 2020, pp. 672-681. Date of Electronic Publication: 2020 Dec 14.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: [IEEE Computer Society] Country of Publication: United States NLM ID: 101718336 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-0726 (Electronic) Linking ISSN: 15547868 NLM ISO Abbreviation: Int Symp Mix Augment Real Subsets: PubMed not MEDLINE