Search Results - interpretable constructive algorithm

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application

Authors: Jing Nan Wei Dai Guan Yuan et al.

Source: IEEE Transactions on Industrial Informatics. 20:13622-13632

Interpretable Neural Networks with Random Constructive Algorithm

Authors: Nan, Jing Dai, Wei

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2307.00185

A general framework for interpretable neural learning based on local information-theoretic goal functions

Authors: Abdullah Makkeh Marcel Graetz Andreas C. Schneider et al.

Contributors: Abdullah Makkeh Marcel Graetz Andreas C. Schneider et al.

Source: Proc Natl Acad Sci U S A
Proceedings of the National Academy of Sciences of the United States of America, 122 (10)

Subject Terms: Neurons, FOS: Computer and information sciences, Computer Science - Machine Learning, partial information decomposition, Computer Science - Information Theory, Information Theory (cs.IT), Models, Neurological, Information Theory, Computer Science - Neural and Evolutionary Computing, Biological Sciences, neural networks, Machine Learning (cs.LG), information theory, local learning, Memory, Humans, Learning, Neural Networks, Computer, Neural and Evolutionary Computing (cs.NE), Algorithms

File Description: application/application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/40042906
http://arxiv.org/abs/2306.02149
https://resolver.sub.uni-goettingen.de/purl?gro-2/148269
http://hdl.handle.net/20.500.11850/728247

Asynchronous multisource alignment-driven real-time online detection of ash content in flotation clean coal.

Authors: Wang, Lanhao Liu, Jiahui Dai, Wei et al.

Source: International Journal of Coal Preparation & Utilization. 2025, Vol. 45 Issue 12, p2993-3020. 28p.

Neural Shape Parsers for Constructive Solid Geometry

Authors: Gopal Sharma Rishabh Goyal Difan Liu et al.

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:2628-2640

Subject Terms: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Neural Networks, Computer, 02 engineering and technology, Algorithms, Software

Access URL: http://arxiv.org/pdf/1912.11393
https://pubmed.ncbi.nlm.nih.gov/33315554
http://arxiv.org/abs/1912.11393
https://dblp.uni-trier.de/db/journals/corr/corr1912.html#abs-1912-11393
https://ieeexplore.ieee.org/document/9293398/
https://www.ncbi.nlm.nih.gov/pubmed/33315554

Hybrid Ensemble Model for Lactation Milk Yield Prediction of Holstein Cows.

Authors: TOPUZ, Derviş TEKGÖZ, Selçuk

Source: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Sep-Nov2025, Vol. 31 Issue 5, p603-611. 9p.

Subjects: Milk yield, Holstein-Friesian cattle, Principal components analysis, Fisher discriminant analysis, Veterinary medicine, Classification algorithms, Machine learning

Interpretable Machine Learning Based Quantification of the Impact of Water Quality Indicators on Groundwater Under Multiple Pollution Sources.

Authors: Zhang, Tianyi Wu, Jin Chu, Haibo et al.

Source: Water (20734441); Mar2025, Vol. 17 Issue 6, p905, 26p

Subject Terms: GROUNDWATER quality, WATER quality, MATRIX decomposition, GROUNDWATER sampling, WATER depth

Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration

Authors: Grecia C. Duque-Gimenez Daniel F. Zambrano-Gutierrez Maricela Rodriguez-Nieto et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-25 (2025)

Subject Terms: Fractional-order zener model, Viscoelasticity, Atomic force microscopy, Cells, Hyper-heuristic, Metaheuristic, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5c12bf069ed84229aa20465d5dccde0d

Constructive Fuzzy Cognitive Map for Depression Severity Estimation

Authors: Georgia, Sovatzidi Michael, Vasilakakis Dimitris K, Iakovidis

Subject Terms: Cognition, Adolescent, Fuzzy Logic, Depression, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electroencephalography, 02 engineering and technology, Severity of Illness Index, Algorithms, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/35612127

Genomic Selection for Cashmere Traits in Inner Mongolian Cashmere Goats Using Random Forest, Gradient Boosting Decision Tree, Extreme Gradient Boosting and Light Gradient Boosting Machine Methods.

Authors: Liu, Jiaqi Yan, Xiaochun Li, Wenze et al.

Source: Animals (2076-2615); Oct2025, Vol. 15 Issue 20, p2940, 14p

Subject Terms: CASHMERE, ANIMAL breeding, GENETICS, BOOSTING algorithms, ENSEMBLE learning, RANDOM forest algorithms, MACHINE learning

Machine Learning for Predicting Spatially Variable Lateral Hydraulic Conductivity: A Step Toward Efficient Hydrological Model Calibration and Global Applicability.

Authors: Ali, Awad M. Imhoff, Ruben O. Weerts, Albrecht H.

Source: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Subject Terms: HYDRAULIC conductivity, HYDROLOGIC models, MACHINE learning, CALIBRATION, SOILS, REGRESSION trees, RANDOM forest algorithms

Geographic Terms: UNITED Kingdom

Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning.

Authors: He, Xiuling Li, Yue Xiao, Xiong et al.

Source: Cognitive Neurodynamics; 2025, Vol. 19 Issue 1, p1-17, 17p

A Web Application for Learning Support Vector Machine Algorithms in Computer Engineering.

Authors: Jovanović, Nenad Jovanović, Stefan Stamenković, Srećko et al.

Source: International Journal of Cognitive Research in Science, Engineering & Education (IJCRSEE); 2025, Vol. 13 Issue 1, p175-190, 16p

Subject Terms: SUPPORT vector machines, MACHINE learning, LEARNING, ELECTRONIC data processing, WEB-based user interfaces, TEACHING methods, EDUCATION software

Exploring the Landscape of Operating Room Scheduling: A Bibliometric Analysis of Recent Advancements and Future Prospects.

Authors: Amin, Md Al Hadid, Majed Elomri, Adel et al.

Source: Biomedical Engineering & Computational Biology; 8/16/2025, p1-16, 16p

Subject Terms: OPERATING rooms, VALUE-based healthcare, HEURISTIC algorithms, SCHOLARLY method, SURGERY practice, HOSPITAL administration, BIBLIOMETRICS

Spatial and Economic-Based Clustering of Greek Irrigation Water Organizations: A Data-Driven Framework for Sustainable Water Pricing and Policy Reform.

Authors: Tsagkoudis, Dimitrios Zafeiriou, Eleni Spinthiropoulos, Konstantinos

Source: Water (20734441); Aug2025, Vol. 17 Issue 15, p2242, 24p

Subject Terms: WATER management, GEOGRAPHIC spatial analysis, SUSTAINABILITY, MACHINE learning, IRRIGATION, REGULATORY reform, FINANCIAL management, CLUSTERING algorithms

Geographic Terms: GREECE

Advancing the Representation of Human Actions in Large‐Scale Hydrological Models: Challenges and Future Research Directions.

Authors: Galelli, Stefano Turner, Sean W. D. Pokhrel, Yadu et al.

Source: Water Resources Research; Jul2025, Vol. 61 Issue 7, p1-23, 23p

Subject Terms: HYDROLOGIC models, WATER management, REMOTE sensing devices, MACHINE learning, HUMAN behavior, WATER quality, COMPUTER simulation, OPTIMIZATION algorithms

Interpretable machine learning model for predicting acute kidney injury in critically ill patients

Authors: Xunliang Li Peng Wang Yuke Zhu et al.

Source: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-12 (2024)

Subject Terms: Acute kidney injury, Machine learning, Interpretability, Prediction model, Intensive care unit, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://doaj.org/toc/1472-6947

Access URL: https://doaj.org/article/c24ca7beff284d5d83dad437bbe6d69b

Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models

Authors: Gu, Yuqi

Index Terms: Mathematics - Statistics Theory, Computer Science - Machine Learning, 62R01, text

URL: http://arxiv.org/abs/2501.10897

SH-StNN: prognostication of Alzheimer's disease based on search and hunt-based stacked deep convolutional neural network.

Authors: Mandawkar, Umakant Diwan, Tausif

Source: Cognitive Neurodynamics; 10/15/2025, Vol. 19 Issue 1, p1-26, 26p

Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery.

Authors: Omar, Evi Diana Mat, Hasnah Karim, Ainil Zafirah Abd et al.

Source: International Journal of Nephrology & Renovascular Disease; Jul2024, Vol. 17, p197-204, 8p

Subject Terms: RANDOM forest algorithms, MACHINE learning, ACUTE kidney failure, SUPPORT vector machines, FEATURE selection