Suchergebnisse - "anzsrc-for: 4611 Machine Learning"

Greedy-DAgger - A Student Rollout Efficient Imitation Learning Algorithm

Autoren: Mitchell Torok Mohammad Deghat Yang Song

Quelle: IEEE Robotics and Automation Letters. 10:2878-2885

Schlagwörter: anzsrc-for: 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, Bioengineering, anzsrc-for: 4602 Artificial Intelligence, anzsrc-for: 40 Engineering, anzsrc-for: 0913 Mechanical Engineering, 46 Information and Computing Sciences, 4602 Artificial Intelligence, Networking and Information Technology R&D (NITRD), mechatronics and robotics, 4611 Machine Learning, anzsrc-for: 4007 Control engineering, 40 Engineering

Dateibeschreibung: application/pdf

Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis

Autoren: Liu, Q Zhou, T Cheng, C et al.

Quelle: urn:ISSN:1471-2105 ; BMC Bioinformatics, 26, 1, 29

Schlagwörter: 46 Information and Computing Sciences, 4611 Machine Learning, Machine Learning and Artificial Intelligence, Deep Learning, Humans, Image Processing, Computer-Assisted, Algorithms, Neural Networks, Computer, Cross-attention mechanism, Frequency domain, Generative adversarial networks, Histological slide images, Image generation fusion, Spatial domain, Spectral filtering, Transformer, Variable-window mixed attention, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4611 Machine Learning, anzsrc-for: 01 Mathematical Sciences, anzsrc-for: 06 Biological Sciences, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 31 Biological sciences, anzsrc-for: 49 Mathematical sciences

Relation: http://hdl.handle.net/1959.4/104359

Verfügbarkeit: http://hdl.handle.net/1959.4/104359
https://doi.org/10.1186/s12859-025-06057-9

A CEP-driven framework for real-time news impact prediction on financial markets

Autoren: Chen, W El Majzoub, A Al-Qudah, I et al.

Quelle: Service Oriented Computing and Applications. 17:129-144

Schlagwörter: anzsrc-for: 4611 Machine Learning, anzsrc-for: 0805 Distributed Computing, anzsrc-for: 4605 Data Management and Data Science, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4606 Distributed computing and systems software, anzsrc-for: 4602 Artificial Intelligence, anzsrc-for: 0806 Information Systems, 4605 Data Management and Data Science, 46 Information and Computing Sciences, 4602 Artificial Intelligence, Networking and Information Technology R&D (NITRD), 4611 Machine Learning, Machine Learning and Artificial Intelligence, Generic health relevance

Dateibeschreibung: application/pdf

Reinforcement Learning Agents Playing Ticket to Ride–A Complex Imperfect Information Board Game With Delayed Rewards

Autoren: Shuo Yang Michael Barlow Thomas Townsend et al.

Quelle: IEEE Access. 11:60737-60757

Schlagwörter: anzsrc-for: 40 Engineering, anzsrc-for: 4611 Machine Learning, 46 Information and Computing Sciences, 4602 Artificial Intelligence, 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 09 Engineering, anzsrc-for: 4602 Artificial Intelligence, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 10 Technology

Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review

Autoren: Barua, PD Vicnesh, J Lih, OS et al.

Quelle: Cogn Neurodyn

Schlagwörter: Suicide Prevention, anzsrc-for: 1702 Cognitive Sciences, Artificial intelligence, anzsrc-for: 4611 Machine learning, anzsrc-for: 5202 Biological psychology, 32 Biomedical and Clinical Sciences, 02 engineering and technology, Anxiety, anzsrc-for: 0606 Physiology, anzsrc-for: 1116 Medical Physiology, 03 medical and health sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, 0302 clinical medicine, Clinical Research, 2.3 Psychological, Suicidal ideation, Behavioral and Social Science, Machine learning, Machine Learning and Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 3202 Clinical Sciences, Review Paper, Classifiers, Depression, Prevention, 3 Good Health and Well Being, Deep learning, Mental Illness, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, 3. Good health, Suicide, Mental Health, Networking and Information Technology R&D (NITRD), anzsrc-for: 3209 Neurosciences, anzsrc-for: 3202 Clinical Sciences, social and economic factors

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36467993

Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions

Autoren: Forhad Zaman Saber Elsayed Ruhul Sarker et al.

Quelle: IEEE Transactions on Cybernetics. 52:11299-11312

Schlagwörter: anzsrc-for: 4611 Machine Learning, 46 Information and Computing Sciences, 4602 Artificial Intelligence, 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, 0211 other engineering and technologies, 02 engineering and technology, 4603 Computer Vision and Multimedia Computation, anzsrc-for: 4602 Artificial Intelligence, anzsrc-for: 4603 Computer Vision and Multimedia Computation, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34406957
https://www.ncbi.nlm.nih.gov/pubmed/34406957
http://xplorestaging.ieee.org/ielx7/6221036/6352949/09517035.pdf?arnumber=9517035

Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke

Autoren: Jiacheng Sun Freda Werdiger Christopher Blair et al.

Quelle: Front Neuroinform
Frontiers in Neuroinformatics, Vol 18 (2024)

Schlagwörter: anzsrc-for: 1702 Cognitive Sciences, acute ischemic stroke, Cerebrovascular, anzsrc-for: 4611 Machine learning, 32 Biomedical and Clinical Sciences, Bioengineering, anzsrc-for: 4601 Applied computing, Neurosciences. Biological psychiatry. Neuropsychiatry, anzsrc-for: 1109 Neurosciences, endovascular thrombectomy, 03 medical and health sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, 0302 clinical medicine, 3202 Clinical Sciences, image segmentation, volume quantification, non-contrast CT, Neurosciences, Brain Disorders, 3. Good health, Stroke, hemorrhagic transformation, Biomedical Imaging, anzsrc-for: 3209 Neurosciences, anzsrc-for: 3202 Clinical Sciences, RC321-571, Neuroscience

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38689832
https://doaj.org/article/13ef73785953472c8c637fce0a2e4d95

Weighted Gate Layer Autoencoders

Autoren: Heba El-Fiqi Min Wang Kathryn Kasmarik et al.

Quelle: IEEE Transactions on Cybernetics. 52:7242-7253

Schlagwörter: Computer, anzsrc-for: 4611 Machine Learning, 46 Information and Computing Sciences, Neural Networks, 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, 0202 electrical engineering, electronic engineering, information engineering, Neural Networks, Computer, 02 engineering and technology, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33502995
https://www.ncbi.nlm.nih.gov/pubmed/33502995
https://ieeexplore.ieee.org/document/9337172

Assessing Player Profiles of Achievement, Affiliation, and Power Motivation Using Electroencephalography

Autoren: Liu, Xuejie Kasmarik, Kathryn Abbass, Hussein

Quelle: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:3648-3658

Schlagwörter: 4608 Human-Centred Computing, anzsrc-for: 4611 Machine learning, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4603 Computer vision and multimedia computation, 02 engineering and technology, Basic Behavioral and Social Science, anzsrc-for: 4608 Human-Centred Computing, 03 medical and health sciences, 0302 clinical medicine, 46 Information and Computing Sciences, Clinical Research, Behavioral and Social Science, anzsrc-for: 4602 Artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, anzsrc-for: 0801 Artificial Intelligence and Image Processing, anzsrc-for: 0906 Electrical and Electronic Engineering, anzsrc-for: 0102 Applied Mathematics

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/abstract/document/9411769

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media

Autoren: Zogan, H Razzak, I Wang, X et al.

Quelle: World Wide Web

Schlagwörter: anzsrc-for: 4611 Machine Learning, 4608 Human-Centred Computing, anzsrc-for: 0804 Data Format, anzsrc-for: 46 Information and Computing Sciences, 02 engineering and technology, Article, anzsrc-for: 0806 Information Systems, anzsrc-for: 4608 Human-Centred Computing, 46 Information and Computing Sciences, Depression detection, 4611 Machine Learning, Behavioral and Social Science, Machine learning, Machine Learning and Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Social network, Depression, anzsrc-for: 0805 Distributed Computing, Deep learning, Explainability, Mental Illness, Brain Disorders, Mental Health, Networking and Information Technology R&D (NITRD)

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s11280-021-00992-2.pdf
https://pubmed.ncbi.nlm.nih.gov/35106059

Revision operators with compact representations

Autoren: Peppas, P Williams, MA Antoniou, G

Quelle: urn:ISSN:0004-3702 ; urn:ISSN:1872-7921 ; Artificial Intelligence, 329, 104080

Schlagwörter: 46 Information and Computing Sciences, 4602 Artificial Intelligence, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4602 Artificial Intelligence, anzsrc-for: 0801 Artificial Intelligence and Image Processing, anzsrc-for: 0802 Computation Theory and Mathematics, anzsrc-for: 1702 Cognitive Sciences, anzsrc-for: 4603 Computer vision and multimedia computation, anzsrc-for: 4611 Machine learning

Relation: http://hdl.handle.net/1959.4/unsworks_85474; https://doi.org/10.1016/j.artint.2024.104080

Verfügbarkeit: http://hdl.handle.net/1959.4/unsworks_85474
https://doi.org/10.1016/j.artint.2024.104080

Scheduling Storage Process of Shuttle-Based Storage and Retrieval Systems Based on Reinforcement Learning

Autoren: Luo, Lei Zhao, Ning Lodewijks, Gabriel

Quelle: Complex System Modeling and Simulation, Vol 1, Iss 2, Pp 131-144 (2021)

Schlagwörter: anzsrc-for: 4611 Machine Learning, reinforcement learning, anzsrc-for: 46 Information and Computing Sciences, QA75.5-76.95, 0102 computer and information sciences, 02 engineering and technology, anzsrc-for: 4602 Artificial Intelligence, 01 natural sciences, Systems engineering, TA168, 46 Information and Computing Sciences, 4602 Artificial Intelligence, shuttle-based storage and retrieval system (sbs/rs), Electronic computers. Computer science, 4611 Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, 7 Affordable and Clean Energy, scheduling

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/9420428/9502047/09502052.pdf
https://doaj.org/article/7ef84adace7a435b9c382ff4452134f3
https://ieeexplore.ieee.org/document/9502052/figures
https://www.firstacademics.com/article/10.23919/CSMS.2021.0013

Intrinsically Motivated Hierarchical Policy Learning in Multiobjective Markov Decision Processes

Autoren: Abdelfattah, Sherif Kasmarik, Kathryn Hu, Jiankun

Quelle: IEEE Transactions on Cognitive and Developmental Systems. 13:262-273

Schlagwörter: FOS: Computer and information sciences, 0301 basic medicine, anzsrc-for: 4611 Machine Learning, Computer Science - Machine Learning, 4 Quality Education, Computer Science - Artificial Intelligence, anzsrc-for: 46 Information and Computing Sciences, 02 engineering and technology, anzsrc-for: 4602 Artificial Intelligence, Basic Behavioral and Social Science, Machine Learning (cs.LG), Computer Science - Robotics, 03 medical and health sciences, Artificial Intelligence (cs.AI), 46 Information and Computing Sciences, 4602 Artificial Intelligence, mechatronics and robotics, 4611 Machine Learning, Behavioral and Social Science, 0202 electrical engineering, electronic engineering, information engineering, Robotics (cs.RO), anzsrc-for: 4007 Control engineering

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2308.09733
https://ieeexplore.ieee.org/document/8873594/
https://dblp.uni-trier.de/db/journals/tamd/tamd13.html#AbdelfattahMH21

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU

Autoren: Fitzgerald, O Perez-Concha, O Gallego, B et al.

Quelle: J Am Med Inform Assoc

Schlagwörter: Blood Glucose, anzsrc-for: 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, Bioengineering, Research and Applications, 03 medical and health sciences, 0302 clinical medicine, 46 Information and Computing Sciences, 4611 Machine Learning, Machine Learning and Artificial Intelligence, Humans, Insulin, anzsrc-for: 42 Health sciences, Blood Glucose Self-Monitoring, Diabetes, Data Science, prediction, 4.1 Discovery and preclinical testing of markers and technologies, 3. Good health, critical care, anzsrc-for: 32 Biomedical and clinical sciences, Intensive Care Units, electronic health records, machine learning, Networking and Information Technology R&D (NITRD), anzsrc-for: 11 Medical and Health Sciences, Generic health relevance, anzsrc-for: 09 Engineering, anzsrc-for: 08 Information and Computing Sciences, Algorithms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33871017
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324237
https://www.ncbi.nlm.nih.gov/pubmed/33871017
https://pubmed.ncbi.nlm.nih.gov/33871017/
https://europepmc.org/article/MED/33871017
https://dblp.uni-trier.de/db/journals/jamia/jamia28.html#FitzgeraldCGSRM21
https://academic.oup.com/jamia/article/28/8/1642/6237196

Bayesian Graph Convolutional Neural Networks via Tempered MCMC

Autoren: Rohitash Chandra Ayush Bhagat Manavendra Maharana et al.

Quelle: IEEE Access, Vol 9, Pp 130353-130365 (2021)

Schlagwörter: FOS: Computer and information sciences, anzsrc-for: 4611 Machine Learning, Computer Science - Machine Learning, MCMC, anzsrc-for: 46 Information and Computing Sciences, Bayesian neural networks, Bioengineering, 02 engineering and technology, Langevin dynamics, Machine Learning (cs.LG), anzsrc-for: 40 Engineering, Bayesian deep learning, 46 Information and Computing Sciences, 4611 Machine Learning, Machine Learning and Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, anzsrc-for: 4605 Data Management and Data Science, graph neural networks, 1.4 Methodologies and measurements, TK1-9971, 4605 Data Management and Data Science, Networking and Information Technology R&D (NITRD), Generic health relevance, Electrical engineering. Electronics. Nuclear engineering, anzsrc-for: 09 Engineering, anzsrc-for: 08 Information and Computing Sciences, anzsrc-for: 10 Technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09535500.pdf
http://arxiv.org/abs/2104.08438
https://doaj.org/article/5a3e1b8cd08e435db246890db55e6705
http://ui.adsabs.harvard.edu/abs/2021arXiv210408438C/abstract
https://ieeexplore.ieee.org/document/9535500/authors
https://arxiv.org/abs/2104.08438
https://doi.org/10.1109/ACCESS.2021.3111898
https://arxiv.org/pdf/2104.08438.pdf
https://dblp.uni-trier.de/db/journals/access/access9.html#ChandraBMK21

Counterfactual learning in enhancing resilience in autonomous agent systems

Autoren: Samarasinghe, D

Quelle: Front Artif Intell
Frontiers in Artificial Intelligence, Vol 6 (2023)

Schlagwörter: anzsrc-for: 4611 Machine learning, anzsrc-for: 46 Information and Computing Sciences, multi-agent system (MAS), robustness, QA75.5-76.95, explainable agents, anzsrc-for: 4602 Artificial Intelligence, machine learning, 46 Information and Computing Sciences, 4602 Artificial Intelligence, mechatronics and robotics, autonomous agent systems, Artificial Intelligence, explainability, Electronic computers. Computer science, Machine Learning and Artificial Intelligence, counterfactual learning, resilience, anzsrc-for: 4007 Control engineering

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37575207
https://doaj.org/article/d883dae53c4d42b39401fc16f2efc712

A Deep Learning Approach for Loss-Analysis from Luminescence Images

Autoren: Buratti, Yoann Abdullah-Vetter, Zubair Sowmya, arcot et al.

Quelle: 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). :0097-0100

Schlagwörter: anzsrc-for: 4611 Machine Learning, 9. Industry and infrastructure, anzsrc-for: 46 Information and Computing Sciences, 02 engineering and technology, 01 natural sciences, 7. Clean energy, 0104 chemical sciences, anzsrc-for: 40 Engineering, Networking and Information Technology R&D (NITRD), 46 Information and Computing Sciences, 4611 Machine Learning, 11. Sustainability, Machine Learning and Artificial Intelligence, Generic health relevance, 0210 nano-technology, 40 Engineering

Dateibeschreibung: application/pdf

Zugangs-URL: http://xplorestaging.ieee.org/ielx7/9518357/9518392/09518512.pdf?arnumber=9518512
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9518512

A Comparison of Methods for Mitigating Within-Task Luminance Change for Eyewear-Based Cognitive Load Measurement

Autoren: Wong, HK Epps, J Chen, S

Quelle: IEEE Transactions on Cognitive and Developmental Systems. 12:681-694

Schlagwörter: anzsrc-for: 4608 Human-Centred Computing, 03 medical and health sciences, 0302 clinical medicine, 46 Information and Computing Sciences, 4608 Human-Centred Computing, mechatronics and robotics, anzsrc-for: 4611 Machine learning, 05 social sciences, anzsrc-for: 46 Information and Computing Sciences, 0501 psychology and cognitive sciences, anzsrc-for: 4007 Control engineering

Challenges in benchmarking stream learning algorithms with real-world data

Autoren: André Gustavo Maletzke Vinicius M. A. Souza Gustavo E. A. P. A. Batista et al.

Quelle: Data Mining and Knowledge Discovery. 34:1805-1858

Schlagwörter: FOS: Computer and information sciences, anzsrc-for: 4611 Machine Learning, Computer Science - Machine Learning, anzsrc-for: 0804 Data Format, I.2.6, anzsrc-for: 4605 Data Management and Data Science, anzsrc-for: 46 Information and Computing Sciences, Machine Learning (stat.ML), 02 engineering and technology, anzsrc-for: 0806 Information Systems, Machine Learning (cs.LG), 68T05, 3. Good health, 4605 Data Management and Data Science, 46 Information and Computing Sciences, Statistics - Machine Learning, 4611 Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, anzsrc-for: 0801 Artificial Intelligence and Image Processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/pdf/2005.00113
http://arxiv.org/abs/2005.00113
https://arxiv.org/abs/2005.00113
http://export.arxiv.org/pdf/2005.00113
https://ui.adsabs.harvard.edu/abs/2020arXiv200500113S/abstract
https://arxiv.org/pdf/2005.00113.pdf
https://repositorio.usp.br/item/003000318
https://arxiv.org/abs/2005.00113
https://dblp.uni-trier.de/db/journals/datamine/datamine34.html#SouzaRMB20
https://bv.fapesp.br/en/publicacao/182276/challenges-in-benchmarking-stream-learning-algorithms-with-r/
https://link.springer.com/article/10.1007/s10618-020-00698-5
https://dialnet.unirioja.es/servlet/articulo?codigo=7597977

User and item profile expansion for dealing with cold start problem

Autoren: Bahrani, P Minaei-Bidgoli, B Parvin, H et al.

Quelle: Journal of Intelligent & Fuzzy Systems. 38:4471-4483

Schlagwörter: anzsrc-for: 1702 Cognitive Sciences, anzsrc-for: 4611 Machine Learning, 46 Information and Computing Sciences, 4602 Artificial Intelligence, 4611 Machine Learning, anzsrc-for: 46 Information and Computing Sciences, 0202 electrical engineering, electronic engineering, information engineering, anzsrc-for: 0801 Artificial Intelligence and Image Processing, 02 engineering and technology, anzsrc-for: 4602 Artificial Intelligence

Dateibeschreibung: application/pdf

Zugangs-URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs191225
https://dblp.uni-trier.de/db/journals/jifs/jifs38.html#BahraniMPMKA20