Výsledky vyhľadávania - "Training data"

Integrating Time Series Anomaly Detection Into DevOps Workflows

Autori: Kånåhols, Gustav Hasan, Shahriar Erik Strandberg, Per

Zdroj: IEEE Access. 13:46459-46477

Predmety: Anomaly detection, Time series analysis, DevOps, Classification algorithms, Measurement, Software, Monitoring, Training data, Servers, Machine learning algorithms, deep learning, machine learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70992
https://doi.org/10.1109/ACCESS.2025.3550665

Exploring Cross-Substation Transfer Learning for Improving Cybersecurity in IEC 61850 Substations

Autori: Natvig, Filip Nordstrom, Lars Ericsson, Göran

Zdroj: IEEE Access. 13:119500-119511

Predmety: Substations, IEC Standards, Transfer learning, Taxonomy, Computer security, Protocols, Intrusion detection, Training data, Training, Standards, Cybersecurity, deep learning, IEC 61850, IEC 62351, smart grid security, machine learning

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-564516
https://doi.org/10.1109/ACCESS.2025.3587923

Energy-Efficient Federated Edge Learning With Streaming Data: A Lyapunov Optimization Approach

Autori: Hu, Chung-Hsuan Chen, Zheng Larsson, Erik G

Zdroj: IEEE Transactions on Communications. 73(2):1142-1156

Predmety: Training, Resource management, Computational modeling, Energy consumption, Optimization, Performance evaluation, Training data, Federated learning, energy efficiency, streaming data, scheduling, resource allocation, Lyapunov optimization

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-212387
https://liu.diva-portal.org/smash/get/diva2:1945803/FULLTEXT01.pdf

3D UWB Positioning System on Data Processing by ANN

Autori: Plakhtii, Vadym Dumin, Oleksandr Capineri, Lorenzo a ďalší

Zdroj: 2025 13th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). :1-5

Predmety: Training , Three-dimensional displays , Receiving antennas , Training data , Signal processing algorithms , Artificial neural networks , Radar antennas , Distortion , Ultra wideband antennas , Testing

Popis súboru: application/pdf

Prístupová URL adresa: https://ieeexplore.ieee.org/document/11109019/keywords#keywords
https://doi.org/10.1109/iwagpr65621.2025.11109019
https://hdl.handle.net/2158/1434901

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction

Autori: Nazaretyan, Lusine Rentzsch, Philipp Kircher, Martin

Zdroj: Genome Medicine. 17(1)

Predmety: Variant prioritization, Standing variation, Training data, Data biases, Variant effect prediction

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-373400
https://doi.org/10.1186/s13073-025-01517-6

Comparison of unsupervised image anomaly detection models for sheet metal glue lines

Autori: Chen, Siyuan Bandaru, Sunith Marti, Silvan a ďalší

Zdroj: Integrated Manufacturing Analytics Platform for IoT Enabled Predictive Maintenance, IMAP project Engineering applications of artificial intelligence. 153(1 August 2025)

Predmety: Anomaly detection, Computer vision, Glue line, Unsupervised deep learning, Failure analysis, Glues, Inspection, Redundancy, Unsupervised learning, Anomaly detection models, Anomaly localizations, Detection and localization, False positive, Glue lines, Learning models, Limited training data, Line images, Reliability analysis, Virtual Production Development (VPD)

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25147
https://doi.org/10.1016/j.engappai.2025.110740

Image generation of log ends and patches of log ends with controlled properties using generative adversarial networks

Autori: Björnberg, Dag Ericsson, Morgan, Docent Lindeberg, Johan a ďalší

Zdroj: Signal, Image and Video Processing. 18:6481-6489

Predmety: Generative adversarial network, Image generation of log ends, Training data generation, Conditional GAN, CycleGAN, Computer Science, Datavetenskap

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-131577
https://doi.org/10.1007/s11760-024-03331-w

Adaptive Basis Function Selection for Computationally Efficient Predictions

Autori: Kullberg, Anton Viset, Frida Skog, Isaac a ďalší

Zdroj: Wallenberg AI, Autonomous Systems and Software Program (WASP) IEEE Signal Processing Letters. 31:2130-2134

Predmety: Computational modeling, Predictive models, Adaptation models, Data models, Accuracy, Training data, Probabilistic logic, Adaptive signal processing, computational complexity, function approximation, Gaussian processes, WASP_publications

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-206535
https://liu.diva-portal.org/smash/get/diva2:1890083/FULLTEXT01.pdf

Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation

Autori: Improta, Cristina Tufano, Rosalia Liguori, Pietro a ďalší

Zdroj: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC)

Predmety: Software Engineering (cs.SE), FOS: Computer and information sciences, Training Data, Computer Science - Software Engineering, Code Generation

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2503.11402
https://hdl.handle.net/11588/1008376
https://hdl.handle.net/11588/1008376
https://doi.org/10.1109/icpc66645.2025.00056

Different Hallucinations calls for Different Solutions - A Categorisation of LLM Transcription Mistakes

Autori: Pelgrom, Nemi Grahn, Håkan

Zdroj: CEUR Workshop Proceedings. :39-52

Predmety: Document analysis, Generative AI, LLM, Verification, Artificial intelligence, Errors, Human engineering, Information retrieval systems, Pattern recognition, Documents analysis, Key values, Strong correlation, Training data

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28782
https://bth.diva-portal.org/smash/get/diva2:2007260/FULLTEXT01.pdf

An interactive threshold-setting procedure for improved multivariate anomaly detection in time series

Autori: Lundström, Adam O'Nils, Mattias Qureshi, Faisal

Zdroj: IEEE Access. 11:93898-93907

Predmety: Anomaly detection, Anomaly scoring, Data models, Deep learning, Electronic mail, Multivariate time series (MVTS), Time series analysis, Time-domain analysis, Training, Training data

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-49293
https://doi.org/10.1109/ACCESS.2023.3310653

Brain-Supervised Conditional Generative Modeling

Autori: Ruotsalo Tuukka Ma Jun Department of Computer Science

Prispievatelia: Ruotsalo Tuukka Ma Jun Department of Computer Science

Zdroj: Ma, J & Ruotsalo, T 2025, ' Brain-Supervised Conditional Generative Modeling ', IEEE Transactions on Human-Machine Systems, vol. 55, no. 3, pp. 383-393 . https://doi.org/10.1109/THMS.2025.3537339

Predmety: Brain modeling, neuroimaging, Training data, Computer and information sciences, generative modeling, Functional magnetic resonance imaging, Brain, Electroencephalography, Neuroimaging, Semantics, Image reconstruction, Generative modeling, Manuals, Electroencephalography (EEG), Faces, Visualization

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10138/596099
https://curis.ku.dk/ws/files/455669528/Brain-Supervised_Conditional_Generative_Modeling.pdf

From Moderation to Model - A Case Study of Sam Altman, Steve Huffman, and the Institutionalization of Filtered Speech in AI

Autori: MacLean, Ryan

Predmety: keyword Reddit Steve Huffman Sam Altman OpenAI content moderation shadowbanning subreddit bans platform governance Galloway v. Reddit Doe v. Reddit Section 230 content policy AI alignment RLHF Constitutional AI training data licensing Financial Times 2023 Senate AI hearing 2023 double-filter model Mighty Wurlitzer narrative control digital speech AI ethics censorship litigation information theory epistemic filtering platform liability digital governance theological implications Word and truth

Competence Measure Enhnaced Ensemble Learning Voting Schemes

Autori: McFadden, Francesca

Zdroj: The ITEA Journal of Test and Evaluation. 46

Predmety: class representation, differing underlying training data, training data distribution across the classifiers, Learning Voting Schemes

Cybernetic Shamanism and the Discipline of Architectural Consciousness

Autori: Olinger, Zack

Predmety: Hermeticism, Self-Directed Goal Formation, Neurodiversity, Autism, Recursive Self-Improvement, Generalization, Novel Synthesis, AI Co-Processor, Systems Theory, Architectural Consciousness, Epistemology, Anti-Fragility, AGI Ethics, Creativity, Value Alignment Problem, Participatory Universe, Artificial Intelligence, Jungian Psychology, Spiritual Technology, Psychology, Cybernetic Shamanism, Complexity Science, Self-Reflection, Autonomy, AGI, Grounding, Alignment, Self-Referential Systems, Meta-Cognition, Ontology, Few-Shot Generalization, Philosophy of Technology, Symbol Grounding, Transfer Learning, Consciousness Studies, Ontological Operating System, Generativity Beyond Training Data, Epistemological Cybernetics, FOS: Philosophy, ethics and religion, Transdisciplinarity, FOS: Psychology, Philosophy, Knowledge Systems, Sovereign Consciousness, Human-AI Collaboration, Dialogic Field, Artificial General Intelligence, Gnostic Engine

Intellectual property, artificial intelligence and contract law: are there any intersections and fruitful collaborations between these areas?

Autori: Nataliia Filatova-Bilous

Zdroj: Visegrad Journal on Human Rights; No. 6 (2024): Visegrad Journal on Human Rights; 33-41
Visegrad Journal on Human Rights; № 6 (2024): Visegrad Journal on Human Rights; 33-41

Predmety: license agreements, rights to input training data, contract law, artificial intelligence, intellectual property law, digitalization, rights to AI-generated outputs

Popis súboru: application/pdf

Prístupová URL adresa: https://journals.uran.ua/journal-vjhr/article/view/325793

Active Learning for Handling Missing Data

Autori: Alaa Tharwat Wolfram Schenck

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:3273-3287

Predmety: Active learning (AL), models, missing data, Training data, multiple imputation, Labeling, Search problems, Uncertainty, Data models, imputation uncertainty, Predictive, Costs

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38277246

Enhancing Trustworthiness of Data-Driven Power System Dynamic Security Assessment via Hybrid Credibility Learning

Autori: Li, Qiaoqiao Xu, Yan Ren, Chao a ďalší

Zdroj: IEEE Transactions on Power Systems. 40(3):2791-2794

Predmety: Data models, Power system stability, Predictive models, Accuracy, Training data, Training, Power system dynamics, Mathematical models, Stability criteria, Security, Data-driven, credibility, Dynamic Security Assessment(DSA), trustworthy machine learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-364265

On non-approximability of zero loss global L2 minimizers by gradient descent in deep learning

Autori: Thomas Chen Ewald Muñoz

Zdroj: Theoretical and Applied Mechanics, Vol 52, Iss 1, Pp 67-73 (2025)

Predmety: underparametrization, Mechanics of engineering. Applied mechanics, deep learning, zeroloss, TA349-359, generic training data

Prístupová URL adresa: https://doaj.org/article/0c8e66d685ad4c0bb050e61303c62d99

SemiBaCon: Semi-Supervised Balanced Contrastive Learning for Multimodal Remote Sensing Image Classification

Autori: Yufei He Bobo Xi Guocheng Li a ďalší

Zdroj: He, Y, Xi, B, Li, G, Zheng, T, Li, Y, Xue, C & Shen, M 2025, 'SemiBaCon : Semi-Supervised Balanced Contrastive Learning for Multi-Modal Remote Sensing Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 63, 5519014. https://doi.org/10.1109/TGRS.2025.3589487

Predmety: Training data, Balanced sampling, Image classification, Superpixels, Aerospace electronics, Contrastive learning, Representation learning, Semantics, Laser radar, Multi-modal, Feature extraction, Training, Data mining, Semi-supervised

Popis súboru: application/pdf

Prístupová URL adresa: http://www.scopus.com/inward/record.url?scp=105011733161&partnerID=8YFLogxK
https://doi.org/10.1109/TGRS.2025.3589487
https://vbn.aau.dk/ws/files/787953676/Accepted_Author_Manuscript.pdf
https://vbn.aau.dk/da/publications/ef605206-aa69-4314-b35e-e49aa99f8a98