المؤلفون: Cristian Bodnar, Cătălina Cangea, Pietro Liò

المصدر: Frontiers in Big Data, Vol 4 (2021)

مصطلحات موضوعية: mapper, graph neural networks, pooling, graph summarization, graph classification, Information technology, T58.5-58.64

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fdata.2021.680535/fullTest; https://doaj.org/toc/2624-909XTest

الوصول الحر: https://doaj.org/article/7ca0a02c58dd46019e1b80c7eb13bbf1Test

المؤلفون: Nikola Simidjievski, Cristian Bodnar, Ifrah Tariq, Paul Scherer, Helena Andres Terre, Zohreh Shams, Mateja Jamnik, Pietro Liò

المصدر: Frontiers in Genetics, Vol 10 (2019)

مصطلحات موضوعية: machine learning, cancer–breast cancer, variational autoencoder, deep learning, integrative data analyses, artificial intelligence, Genetics, QH426-470

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/article/10.3389/fgene.2019.01205/fullTest; https://doaj.org/toc/1664-8021Test

الوصول الحر: https://doaj.org/article/4424f710f0d3481696029d0083e8975fTest

المؤلفون: Nikola Simidjievski, Cristian Bodnar, Ifrah Tariq, Paul Scherer, Helena Andres Terre, Zohreh Shams, Mateja Jamnik, Pietro Liò

مصطلحات موضوعية: Genetics, Genetic Engineering, Biomarkers, Developmental Genetics (incl. Sex Determination), Epigenetics (incl. Genome Methylation and Epigenomics), Gene Expression (incl. Microarray and other genome-wide approaches), Genome Structure and Regulation, Genomics, Genetically Modified Animals, Livestock Cloning, Gene and Molecular Therapy, machine learning, cancer–breast cancer, variational autoencoder, deep learning, integrative data analyses, artificial intelligence, bioinformactics, multi-omic analysis

العلاقة: https://figshare.com/articles/presentation/Presentation_1_Variational_Autoencoders_for_Cancer_Data_Integration_Design_Principles_and_Computational_Practice_pdf/11351801Test

الإتاحة: https://doi.org/10.3389/fgene.2019.01205.s001Test
https://figshare.com/articles/presentation/Presentation_1_Variational_Autoencoders_for_Cancer_Data_Integration_Design_Principles_and_Computational_Practice_pdf/11351801Test

المؤلفون: Cristian Bodnar, Rico Jonschkowski, Karol Hausman, Gabriel Dulac-Arnold

المصدر: IEEE Robotics and Automation Letters. 6:4329-4336

مصطلحات موضوعية: Class (computer programming), Control and Optimization, Process (engineering), business.industry, Computer science, Mechanical Engineering, Perspective (graphical), Biomedical Engineering, Space (commercial competition), Computer Science Applications, Human-Computer Interaction, Metric space, Artificial Intelligence, Control and Systems Engineering, Task analysis, Reinforcement learning, Computer Vision and Pattern Recognition, Artificial intelligence, business, Adaptation (computer science)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::0a7252ce7c0c4662730871d08ff20d3eTest
https://doi.org/10.1109/lra.2021.3068100Test

المؤلفون: Pietro Liò, Ben Day, Cristian Bodnar

المصدر: AAAI
Scopus-Elsevier

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, business.industry, Computer Science - Neural and Evolutionary Computing, Machine Learning (stat.ML), General Medicine, Variation (game tree), Machine Learning (cs.LG), Statistics - Machine Learning, Encoding (memory), Genetic algorithm, Reinforcement learning, Neural and Evolutionary Computing (cs.NE), Genetic representation, Artificial intelligence, business, Robot locomotion

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a032213e2ebeff4fcb5bebeed14e4cdTest
https://doi.org/10.1609/aaai.v34i04.5728Test

المؤلفون: Pietro Liò, Cristian Bodnar, Catalina Cangea

المساهمون: Apollo - University of Cambridge Repository, Lio, Pietro [0000-0002-0540-5053]

المصدر: Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data

مصطلحات موضوعية: FOS: Computer and information sciences, Big Data, Computer Science - Machine Learning, Theoretical computer science, Graph neural networks, Computer science, Pooling, Big data, Graph summarization, Machine Learning (stat.ML), 010103 numerical & computational mathematics, Information technology, 01 natural sciences, Expressive power, Machine Learning (cs.LG), Artificial Intelligence, Statistics - Machine Learning, Graph classification, Computer Science (miscellaneous), pooling, 0101 mathematics, Original Research, Social and Information Networks (cs.SI), business.industry, graph neural networks, Computer Science - Social and Information Networks, mapper, graph summarization, Complex network, graph classification, T58.5-58.64, Graph, 010101 applied mathematics, business, Information Systems

وصف الملف: application/zip; text/xml; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a24575c5a1358b443b340c3b69677e08Test
https://www.repository.cam.ac.uk/handle/1810/324621Test

المؤلفون: Peter Pastor, Karol Hausman, Mrinal Kalakrishnan, Cristian Bodnar, Adrian Li

المصدر: Robotics: Science and Systems

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, business.industry, Perspective (graphical), Machine Learning (stat.ML), Sample (statistics), Object (computer science), computer.software_genre, Machine Learning (cs.LG), Computer Science - Robotics, Statistics - Machine Learning, Virtual machine, Distortion, Reinforcement learning, Robot, Artificial intelligence, business, Robotics (cs.RO), computer, Quantile

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dee8212f8ed8bf04530722a116d7bc0cTest
https://doi.org/10.15607/rss.2020.xvi.075Test

المؤلفون: Helena Andrés-Terré, Ifrah Tariq, Nikola Simidjievski, Paul Scherer, Cristian Bodnar, Zohreh Shams, Pietro Liò, Mateja Jamnik

المساهمون: Simidjievski, Nikola [0000-0003-3948-6370], Scherer, Paul [0000-0002-2240-7501], Andres Terre, Helena [0000-0001-7199-7897], Shams, Zohreh [0000-0002-0143-798X], Jamnik, Mateja [0000-0003-2772-2532], Lio, Pietro [0000-0002-0540-5053], Apollo - University of Cambridge Repository

المصدر: Frontiers in Genetics
Frontiers in Genetics, Vol 10 (2019)

مصطلحات موضوعية: 0301 basic medicine, Artificial intelligence, lcsh:QH426-470, Integrative Data Analyses, Computer science, Design elements and principles, Machine learning, computer.software_genre, Multi-omic Analysis, Machine Learning, Variational Autoencoder, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Deep Learning, medicine, Genetics, Cancer–breast Cancer, Genetics (clinical), Original Research, Artificial neural network, business.industry, Deep learning, Cancer, Patient survival, medicine.disease, Autoencoder, Cancer data, Variety (cybernetics), lcsh:Genetics, 030104 developmental biology, ComputingMethodologies_PATTERNRECOGNITION, 030220 oncology & carcinogenesis, FOS: Biological sciences, Molecular Medicine, Bioinformactics, business, computer

وصف الملف: application/pdf; application/zip; text/xml

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efaff7dc429152345e263147898b900Test