Výsledky vyhľadávania - Active learning Large Deviations Perception Model Message-passing algorithms*

From pixels to planning: scale-free active inference.

Autori: Friston, Karl Heins, Conor Verbelen, Tim a ďalší

Zdroj: Frontiers in Network Physiology; 2025, p1-37, 37p

In Silico ADME Methods Used in the Evaluation of Natural Products.

Autori: Ancuceanu, Robert Lascu, Beatrice Elena Drăgănescu, Doina a ďalší

Zdroj: Pharmaceutics; Aug2025, Vol. 17 Issue 8, p1002, 58p

Predmety: NATURAL products, PHARMACOKINETICS, COMPUTER simulation, MOLECULAR models, PHARMACEUTICAL industry, ALGORITHMS, DRUG discovery

Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review.

Autori: Parivendan, Sibi Chakravathy Sailunaz, Kashfia Neethirajan, Suresh

Zdroj: Animals (2076-2615); Jul2025, Vol. 15 Issue 13, p1835, 48p

Predmety: ARTIFICIAL intelligence, DEEP learning, ETHICAL problems, PRECISION farming, DAIRY cattle, SOCIAL network analysis, ANIMAL welfare, SCIENTIFIC observation

Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions.

Autori: Mohammadi, Hamed Karwowski, Waldemar

Zdroj: Brain Sciences (2076-3425); Jan2025, Vol. 15 Issue 1, p17, 24p

Predmety: GRAPH neural networks, LARGE-scale brain networks, DATA integration, GRAPH connectivity, CLINICAL neurosciences

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case.

Autori: Smith, Ryan Schwartenbeck, Philipp Parr, Thomas a ďalší

Zdroj: Frontiers in Computational Neuroscience; 5/19/2020, Vol. 14, p1-24, 24p

Predmety: CONCEPT learning, COMPUTATIONAL neuroscience, COGNITIVE learning, COGNITIVE science, STIMULUS generalization

Strong and weak head-related transfer functions: The eHRTF analytical framework.

Autori: Geronazzo, Michele

Zdroj: JASA Express Letters; Aug2025, Vol. 5 Issue 8, p1-8, 8p

Edge-Driven Multi-Agent Reinforcement Learning: A Novel Approach to Ultrasound Breast Tumor Segmentation.

Autori: Karunanayake, Nalan Moodleah, Samart Makhanov, Stanislav S.

Zdroj: Diagnostics (2075-4418); Dec2023, Vol. 13 Issue 24, p3611, 23p

Predmety: REINFORCEMENT learning, BREAST ultrasound, BREAST tumors, ARTIFICIAL neural networks, DEEP reinforcement learning

Learning Generative State Space Models for Active Inference.

Autori: Çatal, Ozan Wauthier, Samuel De Boom, Cedric a ďalší

Zdroj: Frontiers in Computational Neuroscience; 11/16/2020, Vol. 14, pN.PAG-N.PAG, 17p

Predmety: ROBOTICS, ARTIFICIAL neural networks

Improving COVID‐19 Detection Through Cooperative Deep‐Learning Pipeline for Lung Semantic Segmentation in Medical Imaging.

Autori: Mourdi, Youssef Allioui, Hanane Sadgal, Mohamed

Zdroj: International Journal of Imaging Systems & Technology; Sep2024, Vol. 34 Issue 5, p1-18, 18p

Dynamic Neighborhood Selection for Context Aware Temporal Evolution Using Graph Neural Networks.

Autori: Zeb, Muhammad Ali Uddin, M. Irfan Alarood, Ala Abdulsalam a ďalší

Zdroj: Cognitive Computation; Feb2025, Vol. 17 Issue 1, p1-19, 19p

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.

Autori: Zhao, Gangming Feng, Quanlong Chen, Chaoqi a ďalší

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2022, Vol. 44 Issue 11, p7400-7416, 17p

Predmety: DIAGNOSTIC imaging, DIAGNOSIS, X-ray imaging, MEDICAL logic, ARTIFICIAL neural networks, NEUROENDOCRINE cells, GRAPH algorithms, CHEST X rays

Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry.

Autori: Kumar, Sethu Arun Ananda Kumar, Thirumoorthy Durai Beeraka, Narasimha M a ďalší

Zdroj: Future Medicinal Chemistry; Feb2022, Vol. 14 Issue 4, p245-270, 26p

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure.

Autori: Feldotto, Benedikt Eppler, Jochen Martin Jimenez-Romero, Cristian a ďalší

Zdroj: Frontiers in Neuroinformatics; 5/19/2022, Vol. 16, p1-23, 23p

Predmety: WEB-based user interfaces, INFRASTRUCTURE (Economics), COMMUNICATION infrastructure, GRAPHICAL user interfaces, VIRTUAL machine systems, HIGH performance computing

Scientific discovery in the age of artificial intelligence.

Autori: Wang H Fu T Du Y a ďalší

Zdroj: Nature [Nature] 2023 Aug; Vol. 620 (7972), pp. 47-60. Date of Electronic Publication: 2023 Aug 02.

Spôsob vydávania: Journal Article; Review; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE

Výrazy zo slovníka MeSH: Artificial Intelligence*/standards , Artificial Intelligence*/trends , Research Design*/standards , Research Design*/trends, Datasets as Topic ; Deep Learning ; Unsupervised Machine Learning

Advances in Computational Approaches for Estimating Passive Permeability in Drug Discovery.

Autori: Bernardi, Austen Bennett, W. F. Drew He, Stewart a ďalší

Zdroj: Membranes; Nov2023, Vol. 13 Issue 11, p851, 15p

Generative Models for Active Vision.

Autori: Parr, Thomas Sajid, Noor Da Costa, Lancelot a ďalší

Zdroj: Frontiers in Neurorobotics; 4/13/2021, Vol. 15, pN.PAG-N.PAG, 20p

Predmety: EYE movements, VISION, PROPRIOCEPTION, SENSES

Diabetic Retinopathy Detection via Machine Learning and Deep Learning for Detected of Injury Dependence on CT Scan.

Autori: SULTAN, LAMAN R.

Zdroj: International Journal of Pharmaceutical Research (09752366); Jan-Mar2021, Vol. 13 Issue 1, p5310-5321, 12p

Predmety: COMPUTED tomography, DIABETIC retinopathy, MACHINE learning, DEEP learning, WOUNDS & injuries

Cognitive Systems, Predictive Processing, and the Self.

Autori: Rupert, Robert D.

Zdroj: Review of Philosophy & Psychology; Dec2022, Vol. 13 Issue 4, p947-972, 26p

A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models.

Autori: Wohlmayr, Michael Stark, Michael Pernkopf, Franz

Zdroj: IEEE Transactions on Audio, Speech & Language Processing; Apr2011, Vol. 19 Issue 4, p799-810, 12p

Predmety: HIDDEN Markov models, SIGNAL processing, PROBABILITY theory, LINEAR systems, PERFORMANCE evaluation, TRACKING algorithms, COMPARATIVE studies

Inductive Multi-View Semi-supervised Learning with a Consensus Graph.

Autori: Ziraki, N. Bosaghzadeh, A. Dornaika, F. a ďalší

Zdroj: Cognitive Computation; May2023, Vol. 15 Issue 3, p904-913, 10p