:: Library Catalog

Imaxe de Portada

Gardado en:

Detalles Bibliográficos
Autor Principal:	Ganta, Nehemiah
Formato:	Recurso digital
Idioma:
Publicado:	Zenodo 2025
Subjects:	Machine Learning Supervised Machine Learning Data Science Data Analysis
Acceso en liña:	https://doi.org/10.5281/zenodo.15202046
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares

Diabetes Prediction Using Machine Learning
por: GOKUL, BESTHA, et al.
Publicado: (2025)

Optimising Process Automation of Geospatial Data Pipelines by Artificial Intelligence
por: Lemenkova, Polina
Publicado: (2025)

Edited Naive Bayes
por: J.M. Martínez Otzeta
Publicado: (2006)

Supervised Machine Learning in Cybersecurity
por: Loza, Boris
Publicado: (2025)

KIWIQUALI Project 2023 - Physiological performance and models
por: Fernandes, Rafael Dreux Miranda, et al.
Publicado: (2025)

Machine Learning Algorithms for Portuguese Named Entity Recognition
por: Ruy Luiz Milidiú
Publicado: (2007)

Analysis of Artificial Intelligence Methods for Automatic Bandwidth Adjustment for Wireless Networks
por: Carrillo Marlon
Publicado: (2025)

Modules 1 and 2 of The Orchard Framework - May 2026 Iteration - Mathematical Formalism - with minimal alignment geometry
por: ASHER, KIMBERLEY LAVERNE
Publicado: (2026)

SIMULATING AND ANALYZING SIGNATURE-BASED NETWORK INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING TECHNIQUES
por: Issah, Peter Paul, et al.
Publicado: (2022)

Open-Source Toolkit for Arctic d-excess and Sea-Ice Interaction Research: Lagged Correlation, Causal Connectivity, and Assimilated Model Evaluation
por: Heydarizad, Mojtaba, et al.
Publicado: (2025)

LEVERAGING MACHINE LEARNING FOR FRAUD DETECTION IN BANKING
por: Journal of Science and Technology Excellence
Publicado: (2026)

SUPERVISED LEARNING-BASED DETECTION OF ASTHMA-AIR POLLUTION ASSOCIATIONS IN URBAN ENVIRONMENTS
por: JOAE
Publicado: (2024)

Enhancing Reconstruction Capability of Wavelet Transform Amorphous Radial Distribution Function via Machine Learning Assisted Parameter Tuning
por: Senjaya, Deriyan, et al.
Publicado: (2025)

Securing generative artificial intelligence with parallel magnetic tunnel junction true randomness
por: Bao, Youwei, et al.
Publicado: (2025)

Machine Learning Models for Accurately Predicting Properties of CsPbCl3 Perovskite Quantum Dots
por: Çadırcı, Mehmet Sıddık, et al.
Publicado: (2024)

Boosting SISSO Performance on Small Sample Datasets by Using Random Forests Prescreening for Complex Feature Selection
por: Jiang, Xiaolin, et al.
Publicado: (2024)

Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs
por: Barakati, Kamyar, et al.
Publicado: (2026)

Training-set-free two-stage deep learning for spectroscopic data de-noising
por: Huang, Dongchen, et al.
Publicado: (2024)

Implementing Data-Driven Decision-Making in Teaching Practice Supervision: A Case Study at Jigawa State College of Education and Legal Studies, Ringim
por: Nasiru, Adamu
Publicado: (2025)

Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship
por: Molchanova, Olena, et al.
Publicado: (2025)

Learning to Quantify
por: Esuli, Andrea, et al.
Publicado: (2023)

BoostNet-WB: Adaptive Boosting with Neural Network Weak Learners and Weighted Bootstrap Resampling
por: Olshenbaum, Konstantin
Publicado: (2025)

The Role of the Practicum in Library Schools.
por: Coleman, J. Gordon, Jr.
Publicado: (1989)

Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
por: Xian, Yeming, et al.
Publicado: (2025)

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators
por: Thiagarajan, Ponkrshnan, et al.
Publicado: (2025)

Physics-guided impact localisation and force estimation in composite plates with uncertainty quantification
por: Xiao, Dong, et al.
Publicado: (2025)

Benchmarking Self-Driving Labs
por: Adesiji, Adedire D., et al.
Publicado: (2025)

Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery
por: Xu, Hao, et al.
Publicado: (2025)

Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
por: Valleti, Mani, et al.
Publicado: (2024)

Application of machine learning in grain-related clustering of Laue spots in a polycrystalline energy dispersive Laue pattern
por: Tosson, Amir, et al.
Publicado: (2024)

Physics-Informed Tree Search for High-Dimensional Computational Design
por: Banik, Suvo, et al.
Publicado: (2026)

PATHFINDER: Multi-objective discovery in structural and spectral spaces
por: Barakati, Kamyar, et al.
Publicado: (2026)

Staffing and Training: Neglected Supervisory Functions Related to Group Performance
por: Bare, Alan C.
Publicado: (1978)

Data organization limits the predictability of binary classification
por: Jing, Fei, et al.
Publicado: (2024)

Scientific Data Compression and Super-Resolution Sampling
por: Vu, Minh, et al.
Publicado: (2025)

GAMMA_FLOW: Guided Analysis of Multi-label spectra by MAtrix Factorization for Lightweight Operational Workflows
por: Rädle, Viola, et al.
Publicado: (2025)

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
por: Nam, Yoonsoo, et al.
Publicado: (2025)

Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations
por: Ni, Yuan, et al.
Publicado: (2025)

Reliable Statistical Guarantees for Conformal Predictors with Small Datasets
por: Sánchez-Domínguez, Miguel, et al.
Publicado: (2025)

Phase transitions reveal hierarchical structure in deep neural networks
por: Ersoy, Ibrahim Talha, et al.
Publicado: (2025)