Výsledky vyhledávání - "Computing methodologies → Machine learning algorithms"

LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding

Autoři: Bhowmick, Ayan Meneni, Koushik Danisch, Maximilien a další

Přispěvatelé: Bhowmick, Ayan Meneni, Koushik Danisch, Maximilien a další

Zdroj: Proceedings of the 13th International Conference on Web Search and Data Mining. :43-51

Témata: [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO] Computer Science [cs], CCS CONCEPTS • Computing methodologies → Machine learning algorithms, scalability, • Mathematics of computing → Graph algorithms KEYWORDS Network embedding, real-world graph algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-02999888/file/WSDM2020.pdf
http://dblp.uni-trier.de/db/conf/wsdm/wsdm2020.html#BhowmickMDGM20
https://hal.archives-ouvertes.fr/hal-02999888/document
https://hal.archives-ouvertes.fr/hal-02999888
https://dl.acm.org/doi/pdf/10.1145/3336191.3371800
https://hal.science/hal-02999888v1
https://doi.org/10.1145/3336191.3371800
https://hal.science/hal-02999888v1/document

The 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML)

Autoři: YILMA, Bereket Abera Surafel M. Lakew Yogesh Virkar a další

Zdroj: Human-in-the-Loop Applied Machine Learning (HITLAML) (2023-09-04)

Témata: CCS Concepts: • Computing methodologies → Machine learning algorithms, Machine learning approaches, Learning paradigms, Artificial intelligence, • Human-centered computing → HCI design and evaluation methods, Interactive systems and tools Interactive Machine Learning, Human-centered Artificial Intelligence, Adaptation, Personalization, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: https://hitlaml.uni.lu; https://orbilu.uni.lu/handle/10993/59348; info:hdl:10993/59348; https://orbilu.uni.lu/bitstream/10993/59348/1/HITLAML23.pdf

Dostupnost: https://orbilu.uni.lu/handle/10993/59348
https://orbilu.uni.lu/bitstream/10993/59348/1/HITLAML23.pdf

Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations.

Autoři: Fargion, G. Weber, O.

Zdroj: Computer Graphics Forum. May2025, Vol. 44 Issue 2, p1-14. 14p.

Témata: *ARTIFICIAL neural networks, HARMONIC maps, TENSOR fields, LAPLACIAN matrices, METRIC spaces, INJECTIVE functions

Aging and rejuvenating strategies for fading windows in multi-label classification on data streams

Autoři: Roseberry, Martha Dzeroski, Saso Bifet, Albert a další

Přispěvatelé: Roseberry, Martha Dzeroski, Saso Bifet, Albert a další

Zdroj: SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing ; Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023 ; https://hal.science/hal-04468384 ; Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023, Mar 2023, Talinn, Estonia. pp.390--397, ⟨10.1145/3555776.3577625⟩

Témata: Computing methodologies → Machine learning algorithms, Machine Learning, Data Streams, Multi-label Learning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geografické téma: Talinn, Estonia

Time: Talinn, Estonia

Dostupnost: https://hal.science/hal-04468384
https://doi.org/10.1145/3555776.3577625

Neural Sequence Transformation.

Autoři: Mukherjee, Sabyasachi Mukherjee, Sayan Hua, Binh‐Son a další

Zdroj: Computer Graphics Forum. Oct2021, Vol. 40 Issue 7, p131-140. 10p. 1 Color Photograph, 2 Black and White Photographs, 1 Diagram, 3 Graphs.

Témata: *MONTE Carlo method, *DEFINITE integrals, *ESTIMATION theory

Llanimation: Llama Driven Gesture Animation.

Autoři: Windle, J. Matthews, I. Taylor, S.

Zdroj: Computer Graphics Forum. Dec2024, Vol. 43 Issue 8, p1-10. 10p.

Témata: *SOCIAL cues, *MACHINE learning, *GESTURE, *SOCIAL context, *REALISM

Developing Time Series Forecasting Models with Generative Large Language Models.

Autoři: Morales-García, Juan Llanes, Antonio Arcas-Túnez, Francisco a další

Zdroj: ACM Transactions on Intelligent Systems & Technology; Dec2025, Vol. 16 Issue 6, p1-12, 12p

Causal Inference for Multi-Criteria Rating Recommender Systems.

Autoři: Guo, Zhihao Song, Peng Feng, Chenjiao a další

Zdroj: ACM Transactions on Information Systems; Nov2025, Vol. 43 Issue 6, p1-30, 30p

Témata: CAUSAL inference, REPRESENTATIONS of graphs, STRUCTURAL models, PREDICTION models, HETEROGENEITY

A Comprehensive Survey on Machine Learning Driven Material Defect Detection.

Autoři: Bai, Jun Wu, Di Shelley, Tristan a další

Zdroj: ACM Computing Surveys; Nov2025, Vol. 57 Issue 11, p1-36, 36p

Témata: ARTIFICIAL intelligence, ARTIFICIAL neural networks, MACHINE learning, PATTERN recognition systems, COMPUTER vision, DEEP learning, SUPERVISED learning, DELAMINATION of composite materials

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices.

Autoři: Gufran, Danish Pasricha, Sudeep

Zdroj: ACM Transactions on Embedded Computing Systems; 2025 Suppl 5, Vol. 24, p1-24, 24p

Témata: INDOOR positioning systems, GRAPH neural networks, DEEP learning, REPRESENTATIONS of graphs, SMART devices

Detecting Hard-Coded Credentials in Software Repositories via LLMs.

Autoři: Biringa, Chidera Kul, Gökhan

Zdroj: Digital Threats: Research & Practice; Sep2025, Vol. 6 Issue 3, p1-16, 16p

Témata: COMPUTER software security, LANGUAGE models, FEATURE extraction, DEEP learning, INTERNET security, COMPUTER security vulnerabilities

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.

Autoři: Thieme, Anja Rajamohan, Abhijith Cooper, Benjamin a další

Zdroj: ACM Transactions on Computer-Human Interaction (TOCHI); Aug2025, Vol. 32 Issue 4, p1-61, 61p

Témata: HEALTH care industry, RADIOLOGY

Automated Program Repair: Emerging Trends Pose and Expose Problems for Benchmarks.

Autoři: Renzullo, Joseph Reiter, Pemma Weimer, Westley a další

Zdroj: ACM Computing Surveys; Aug2025, Vol. 57 Issue 8, p1-18, 18p

Témata: SOFTWARE engineering, BENCHMARKING (Management), TECHNOLOGICAL innovations

Generation and Editing of Mandrill Faces: Application to Sex Editing and Assessment.

Autoři: Dibot, Nicolas M. Renoult, Julien P. Puech, William

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Aug2025, Vol. 21 Issue 8, p1-23, 23p

Témata: GENERATIVE artificial intelligence, GENERATIVE adversarial networks, DEEP learning, DATABASES, BEHAVIORAL assessment

Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing.

Autoři: Gao, Lei Liu, Kai Guo, Zheng a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Jul2025, Vol. 21 Issue 7, p1-22, 22p

Témata: ARTIFICIAL neural networks, MACHINE learning, MULTIMEDIA systems, ARTIFICIAL intelligence, SUSPICION

Toward Trustworthy Artificial Intelligence (TAI) in the Context of Explainability and Robustness.

Autoři: chander, Bhanu John, Chinju Warrier, Lekha a další

Zdroj: ACM Computing Surveys; Jun2025, Vol. 57 Issue 6, p1-49, 49p

Témata: ARTIFICIAL intelligence, ARTIFICIAL neural networks, MACHINE learning, EQUAL Credit Opportunity Act, FAIR Credit Reporting Act, DEEP learning

Time Series Classification with Elasticity Using Augmented Path Signatures.

Autoři: Wang, Chenyang Luo, Ling Aickelin, Uwe

Zdroj: ACM Transactions on Knowledge Discovery from Data; Apr2025, Vol. 19 Issue 3, p1-32, 32p

Témata: TIME series analysis, TIME dilation, CLASSIFICATION algorithms, TIME management, ELASTICITY

A Multimodal Hierarchical Attentional Ordering Network.

Autoři: Yang, Yiping Cui, Baiyun Li, Yingming

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Mar2025, Vol. 21 Issue 3, p1-20, 20p

Témata: INFORMATION design, MEDICAL masks, ENCODING

FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System.

Autoři: Nguyen, Quoc H. Hore, Soumyadeep Shah, Ankit a další

Zdroj: Digital Threats: Research & Practice; Mar2025, Vol. 6 Issue 1, p1-23, 23p

Témata: FEDERATED learning, INTRUSION detection systems (Computer security), DATA privacy, DISTRIBUTED network protocols, ANOMALY detection (Computer security), DATA packeting, ARTIFICIAL neural networks, INTERNET security

Towards Prototype-Based Self-Explainable Graph Neural Network.

Autoři: Dai, Enyan Wang, Suhang

Zdroj: ACM Transactions on Knowledge Discovery from Data; Feb2025, Vol. 19 Issue 2, p1-20, 20p

Témata: GRAPH neural networks, PROTOTYPES, DATA modeling, FORECASTING, EXPLANATION