On the public citation graph
Bayesian neural networks
0 signed · 162 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00339943openalex-snapshot
“Neural” computation of decisions in optimization problems
inferredcites →https://doi.org/10.1007/bf00361344openalex-snapshot
Recognition of general patterns using neural networks
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4698811openalex-extracted
Normalizing Flow Based Uncertainty Estimation for Deep Regression Analysis
inferred← citeshttps://doi.org/10.1002/ail2.35openalex-snapshot
A practical approach for applying machine learning in the detection and classification of network devices used in building management
inferred← citeshttps://doi.org/10.1002/bimj.4710390502openalex-snapshot
Bayesian Neural Network Models for Censored Data
inferred← citeshttps://doi.org/10.1007/978-3-030-40245-7_15openalex-snapshot
Active Learning and Uncertainty Estimation
inferred← citeshttps://doi.org/10.1007/978-3-031-07155-3_10openalex-snapshot
Uncertainty Quantification Based on Bayesian Neural Networks for Predictive Quality
inferred← citeshttps://doi.org/10.1007/978-3-031-19827-4_14openalex-snapshot
ActiveNeRF: Learning Where to See with Uncertainty Estimation
inferred← citeshttps://doi.org/10.1007/978-3-031-50690-1_7openalex-snapshot
Statistical Reinforcement Learning and Dynamic Treatment Regimes
inferred← citeshttps://doi.org/10.1007/978-3-031-92602-0_14openalex-snapshot
Fine-Tuning Experimental Analysis of a Bayesian-Neural-Networks Framework Over Heterogeneous Curated Datasets
inferred← citeshttps://doi.org/10.1007/978-3-319-30319-2_9openalex-snapshot
Interpretability of Computational Models for Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-93437-7_3openalex-snapshot
Medical Analysis of Automatically Induced Diagnostic Rules
inferred← citeshttps://doi.org/10.1007/978-981-13-9282-5_62openalex-snapshot
A Comparison of Prediction Capabilities of Bayesian Regularization and Levenberg–Marquardt Training Algorithms for Cryptocurrencies
inferred← citeshttps://doi.org/10.1007/978-981-15-2770-8openalex-snapshot
A Matrix Algebra Approach to Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-981-19-8234-7_11openalex-snapshot
Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm
inferred← citeshttps://doi.org/10.1007/978-981-92-2891-1_1openalex-snapshot
Reliable Uncertainty-Aware Semi-supervised Cyberattack Detection in Smart Grids
inferred← citeshttps://doi.org/10.1007/978-981-95-2379-5_23openalex-snapshot
A Bayesian Neural Network Approach for Spatial Relations Learning in Human-Robot Collaboration
inferred← citeshttps://doi.org/10.1007/978-981-97-5581-3_7openalex-snapshot
BayesTSF: Measuring Uncertainty Estimation in Industrial Time Series Forecasting from a Bayesian Perspective
inferred← citeshttps://doi.org/10.1007/bf00209419openalex-snapshot
Optimal firing in sparsely-connected low-activity attractor networks
inferred← citeshttps://doi.org/10.1007/bfb0035893openalex-snapshot
Decrementing hamming and Bayesian neural networks: Analog implementations and relative performance
inferred← citeshttps://doi.org/10.1007/s00138-022-01369-9openalex-snapshot
Pixel-wise confidence estimation for segmentation in Bayesian Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1007/s00158-023-03488-xopenalex-snapshot
Digital twins for the designs of systems: a perspective
inferred← citeshttps://doi.org/10.1007/s00158-025-03979-zopenalex-snapshot
An uncertainty-aware deep learning framework-based robust design optimization of metamaterial units
inferred← citeshttps://doi.org/10.1007/s00422-024-01002-0openalex-snapshot
Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s00477-021-02168-wopenalex-snapshot
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
inferred← citeshttps://doi.org/10.1007/s10341-026-01940-yopenalex-snapshot
CropNet++ViT: An Efficient Hybrid CNN-Vision Transformer for Uncertainty-Aware Fruit Quality Assessment and Grading in Smart Agriculture
inferred← citeshttps://doi.org/10.1007/s11222-023-10339-8openalex-snapshot
Likelihood-free inference in state-space models with unknown dynamics
inferred← citeshttps://doi.org/10.1007/s11771-021-4778-7openalex-snapshot
Wafer bin map inspection based on DenseNet
inferred← citeshttps://doi.org/10.1007/s11831-019-09327-xopenalex-snapshot
Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty
inferred← citeshttps://doi.org/10.1007/s40808-023-01709-2openalex-snapshot
Modeling of land surface temperature (LST) in Ardabil plain using NDVI index and Bayesian neural network approach
inferred← citeshttps://doi.org/10.1007/s42107-026-01641-7openalex-snapshot
BAYESIAN attention with input reliability scaling (BARS): a probabilistic framework for robust AI-driven cost escalation prediction
inferred← citeshttps://doi.org/10.1007/s42401-026-00451-8openalex-snapshot
Roadside-unit-assisted vehicle positioning with real-time error model in GNSS-denied environment
inferred← citeshttps://doi.org/10.1016/b978-0-323-99593-1.00016-1openalex-snapshot
Enhanced artificial intelligence workflow for predicting production within the Bakken formation
inferred← citeshttps://doi.org/10.1016/b978-0-443-36322-1.00031-6openalex-snapshot
Bayesian approach and artificial intelligence risk
inferred← citeshttps://doi.org/10.1016/j.aichem.2023.100004openalex-snapshot
Evaluating point-prediction uncertainties in neural networks for protein-ligand binding prediction
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.114043openalex-snapshot
Quantile deep learning models for multi-step ahead time series prediction
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115975openalex-snapshot
Industrial large model-driven online early fault warning: A novel incremental anomaly detection framework with wavelet scattering contrastive transformer
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108231openalex-snapshot
Empirical validation of Conformal Prediction for trustworthy skin lesions classification
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109877openalex-snapshot
Towards green machine learning for resource allocation in beyond 5G RAN slicing
inferred← citeshttps://doi.org/10.1016/j.conb.2008.07.004openalex-snapshot
Spiking networks for Bayesian inference and choice
inferred← citeshttps://doi.org/10.1016/j.energy.2023.127286openalex-snapshot
Unveiling bidding uncertainties in electricity markets: A Bayesian deep learning framework based on accurate variational inference
inferred← citeshttps://doi.org/10.1016/j.energy.2023.127865openalex-snapshot
Multi-head attention-based probabilistic CNN-BiLSTM for day-ahead wind speed forecasting
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113759openalex-snapshot
Generate individual spatiotemporal activity sequences from population synthesis via deep learning approaches
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114676openalex-snapshot
Uncertainty-aware adaptive feature completion networks for incomplete multi-view learning
inferred← citeshttps://doi.org/10.1016/j.epidem.2025.100880openalex-snapshot
Fast and trustworthy nowcasting of dengue fever: A case study using attention-based probabilistic neural networks in São Paulo, Brazil
inferred← citeshttps://doi.org/10.1016/j.epsr.2024.110860openalex-snapshot
Bayesian Physics-informed Neural Networks for system identification of inverter-dominated power systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117066openalex-snapshot
IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134355openalex-snapshot
Achieving more robust deformable object keypoint localization using generative data augmentation and probabilistic prediction models
inferred← citeshttps://doi.org/10.1016/j.gloei.2025.10.009openalex-snapshot
Intelligent valorization: Integrating AI, imaging, and sustainability for next-generation biofuel systems
inferred← citeshttps://doi.org/10.1016/j.ifacol.2022.07.496openalex-snapshot
When is gray-box modeling advantageous for virtual flow metering?
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104548openalex-snapshot
Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles
inferred← citeshttps://doi.org/10.1016/j.jcp.2026.114722openalex-snapshot
EVODMs: Variational learning of PDEs for stochastic systems via diffusion models with quantified epistemic uncertainty
inferred← citeshttps://doi.org/10.1016/j.jnoncrysol.2023.122481openalex-snapshot
Machine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112628openalex-snapshot
Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.120051openalex-snapshot
A lightweight uncertainty modeling approach for wearable sensor signals based on sample overlap estimation
inferred← citeshttps://doi.org/10.1016/j.mlwa.2022.100255openalex-snapshot
Long-term financial predictions based on Feynman–Dirac path integrals, deep Bayesian networks and temporal generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126960openalex-snapshot
Sequential reversible jump MCMC for dynamic Bayesian neural networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127645openalex-snapshot
Normalizing flow based uncertainty estimation for deep regression analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129285openalex-snapshot
CCAF-Net: Cascade Complementarity-Aware Fusion Network for traffic accident prediction in dashcam videos
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.12.041openalex-snapshot
Adversarially robust neural networks with feature uncertainty learning and label embedding
inferred← citeshttps://doi.org/10.1016/j.ymeth.2025.04.016openalex-snapshot
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation
inferred← citeshttps://doi.org/10.1016/s0167-9473(99)00114-0openalex-snapshot
Bayesian neural networks with confidence estimations applied to data mining
inferred← citeshttps://doi.org/10.1016/s0933-3657(01)00077-xopenalex-snapshot
Machine learning for medical diagnosis: history, state of the art and perspective
inferred← citeshttps://doi.org/10.1021/acsestengg.1c00434openalex-snapshot
Enlarging Applicability Domain of Quantitative Structure–Activity Relationship Models through Uncertainty-Based Active Learning
inferred← citeshttps://doi.org/10.1029/2022jb025964openalex-snapshot
Implicit Seismic Full Waveform Inversion With Deep Neural Representation
inferred← citeshttps://doi.org/10.1038/s41524-025-01630-5openalex-snapshot
AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites
inferred← citeshttps://doi.org/10.1038/s41598-020-77575-0openalex-snapshot
Dirty engineering data-driven inverse prediction machine learning model
inferred← citeshttps://doi.org/10.1038/s41598-022-25362-4openalex-snapshot
Deep kernel learning of dynamical models from high-dimensional noisy data
inferred← citeshttps://doi.org/10.1039/d1qi00766aopenalex-snapshot
A data-driven approach to predicting band gap, excitation, and emission energies for Eu 2+ -activated phosphors
inferred← citeshttps://doi.org/10.1039/d5dd00552copenalex-snapshot
Artificial intelligence in the discovery and design of molecular semiconductors: a systematic review
inferred← citeshttps://doi.org/10.1049/ipr2.70045openalex-snapshot
Semantic Uncertainty‐Awared for Semantic Segmentation of Remote Sensing Images
inferred← citeshttps://doi.org/10.1051/0004-6361/202660086openalex-snapshot
Identifying hot subdwarf binaries with multimodal deep learning
inferred← citeshttps://doi.org/10.1080/00036846.2025.2468937openalex-snapshot
How uncertain are oil prices? bayesian regularized distribution neural network for forecasting oil prices
inferred← citeshttps://doi.org/10.1080/08839519308949993openalex-snapshot
INDUCTIVE AND BAYESIAN LEARNING IN MEDICAL DIAGNOSIS
inferred← citeshttps://doi.org/10.1088/0954-898x/13/2/302openalex-snapshot
A Bayesian attractor network with incremental learning
inferred← citeshttps://doi.org/10.1088/1361-6501/ad5905openalex-snapshot
Fault diagnosis method for imbalanced and unlabeled data based on bayesian graph balanced learning
inferred← citeshttps://doi.org/10.1088/1402-4896/ae4392openalex-snapshot
Bayesian optimization and nonlocal effects method for α decay of superheavy nuclei based on CPPM
inferred← citeshttps://doi.org/10.1088/2632-2153/ac0495openalex-snapshot
Uncertainty quantification by ensemble learning for computational optical form measurements
inferred← citeshttps://doi.org/10.1088/2632-2153/acbb53openalex-snapshot
Robust simulation-based inference in cosmology with Bayesian neural networks
inferred← citeshttps://doi.org/10.1093/bioinformatics/btaf682openalex-snapshot
Genome- and peak-informed two-stage framework for scATAC-seq cell type identification
inferred← citeshttps://doi.org/10.1103/6znz-ktcpopenalex-snapshot
Assimilation of wall-pressure measurements in high-speed boundary layers using a Bayesian optimization with DeepONet
inferred← citeshttps://doi.org/10.1103/physrevc.104.034317openalex-snapshot
Providing physics guidance in Bayesian neural networks from the input layer: The case of giant dipole resonance predictions
inferred← citeshttps://doi.org/10.1103/physrevc.108.014326openalex-snapshot
Bayesian optimization approach to model-based description of α decay
inferred← citeshttps://doi.org/10.1109/aike52691.2021.00017openalex-snapshot
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/case48305.2020.9216773openalex-snapshot
An Enhanced Fault Diagnosis Method with Uncertainty Quantification Using Bayesian Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/cimsim.2013.11openalex-snapshot
A Neural Network (NN) Approach to Solving a Static-non-exchange Scattering of Electron-Hydrogen
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00050openalex-snapshot
Understanding Uncertainty Maps in Vision with Statistical Testing
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01530openalex-snapshot
Switchable Representation Learning Framework with Self-Compatibility
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2015.7337807openalex-snapshot
Network based rule representation for knowledge discovery and predictive modelling
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890378openalex-snapshot
Boosting Stereo Image Noise Removal by Learning Uncertainty and Enriched Features
inferred← citeshttps://doi.org/10.1109/icodt255437.2022.9787474openalex-snapshot
Emotion Recognition from Facial Images using Hybrid Deep Learning Models
inferred← citeshttps://doi.org/10.1109/icps49255.2021.9468243openalex-snapshot
A Generic DigitalTwin Model for Artificial Intelligence Applications
inferred← citeshttps://doi.org/10.1109/icra48506.2021.9561311openalex-snapshot
APPLI: Adaptive Planner Parameter Learning From Interventions
inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610126openalex-snapshot
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
inferred← citeshttps://doi.org/10.1109/igarss52108.2023.10281580openalex-snapshot
Towards a Benchmark EO Semantic Segmentation Dataset for Uncertainty Quantification
inferred← citeshttps://doi.org/10.1109/ijcnn.1991.170395openalex-snapshot
Feedforward Bayesian neural network and continuous attributes
inferred← citeshttps://doi.org/10.1109/ijcnn.2010.5596604openalex-snapshot
Optimal synaptic learning in non-linear associative memory
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796669openalex-snapshot
Online Data Valuation and Pricing for Machine Learning Tasks in Mobile Health
inferred← citeshttps://doi.org/10.1109/itsc58415.2024.10920012openalex-snapshot
Physics-Informed Bayesian Deep Learning for Traffic State Estimation and Uncertainty Quantification
inferred← citeshttps://doi.org/10.1109/pesgm51994.2024.10688425openalex-snapshot
Resilience Assessment for Distribution Systems during Hurricanes: A Learning-Based Framework
inferred← citeshttps://doi.org/10.1109/powertech55446.2023.10202692openalex-snapshot
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems
inferred← citeshttps://doi.org/10.1109/taffc.2025.3646189openalex-snapshot
WDANet: Wasserstein Distribution Inspired Dynamic Adversarial Network for EEG-Based Cross-Domain Depression Recognition
inferred← citeshttps://doi.org/10.1109/tci.2025.3541934openalex-snapshot
Transfer Learning for Data Fusion for Electromagnetic and Ultrasound Breast Imaging
inferred← citeshttps://doi.org/10.1109/tip.2024.3458858openalex-snapshot
Adapting Few-Shot Classification via In-Process Defense
inferred← citeshttps://doi.org/10.1109/tmc.2023.3316145openalex-snapshot
VAP: Online Data Valuation and Pricing for Machine Learning Models in Mobile Health
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521727openalex-snapshot
Uncertainty Guided Progressive Few-Shot Learning Perception for Aerial View Synthesis
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2952029openalex-snapshot
Information Losses in Neural Classifiers From Sampling
inferred← citeshttps://doi.org/10.1139/l2012-011openalex-snapshot
Application of artificial neural networks and adaptive neuro-fuzzy inference system models to short-term streamflow forecasting
inferred← citeshttps://doi.org/10.1145/3512576.3512596openalex-snapshot
RTS Game AI Robots Winner Prediction Based on Replay Data by using Deep Learning
inferred← citeshttps://doi.org/10.1145/3649329.3658242openalex-snapshot
BNN-YEO: an efficient Bayesian Neural Network for yield estimation and optimization
inferred← citeshttps://doi.org/10.1145/3803730.3803761openalex-snapshot
Lightweight GoogLeNet Neural Network Incorporating Attention Mechanism for Image Classification
inferred← citeshttps://doi.org/10.1145/3821966.3822016openalex-snapshot
Bayesian Neural Network for Small-Sample Employment Prediction in Vocational Education with Uncertainty Quantification
inferred← citeshttps://doi.org/10.1162/neco.1992.4.6.781openalex-snapshot
Rule-Based Neural Networks for Classification and Probability Estimation
inferred← citeshttps://doi.org/10.1162/neco.2010.03-09-980openalex-snapshot
Reward-Modulated Hebbian Learning of Decision Making
inferred← citeshttps://doi.org/10.1162/neco_a_00127openalex-snapshot
Neural Associative Memory with Optimal Bayesian Learning
inferred← citeshttps://doi.org/10.1162/neco_a_00795openalex-snapshot
Efficient Associative Computation with Discrete Synapses
inferred← citeshttps://doi.org/10.1186/s13321-022-00619-2openalex-snapshot
Blood–brain barrier penetration prediction enhanced by uncertainty estimation
inferred← citeshttps://doi.org/10.1186/s13321-026-01193-7openalex-snapshot
Benchmarking the performance of uncertainty quantification methods for neural network-based interatomic potentials
inferred← citeshttps://doi.org/10.12677/hjdm.2025.153019openalex-snapshot
Sentiment Analysis Research Based on Emotional Information Extraction and Bidirectional Long Short-Term Memory Network
inferred← citeshttps://doi.org/10.1515/jaiscr-2017-0008openalex-snapshot
Rule Based Networks: An Efficient and Interpretable Representation of Computational Models
inferred← citeshttps://doi.org/10.1515/snde-2024-0003openalex-snapshot
Challenges and Opportunities for Twenty First Century Bayesian Econometricians: A Personal View
inferred← citeshttps://doi.org/10.1785/0220240040openalex-snapshot
Joint Inversion of Surface-Wave Dispersions and Receiver Functions Based on Deep Learning
inferred← citeshttps://doi.org/10.17863/cam.56163openalex-snapshot
Search for the rare decay B+→μ+μ-μ+νμ
inferred← citeshttps://doi.org/10.2139/ssrn.4768225openalex-snapshot
Bayesian Physics-Informed Neural Networks for System Identification of Inverter-Dominated Power Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5383987openalex-snapshot
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
inferred← citeshttps://doi.org/10.21468/scipostphys.8.6.090openalex-snapshot
A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty
inferred← citeshttps://doi.org/10.2172/1248358openalex-snapshot
Study of Single Top Quark Production Using Bayesian Neural Networks With D0 Detector at the Tevatron
inferred← citeshttps://doi.org/10.2174/0123520965254438231102050325openalex-snapshot
A Risk Assessment Method of New-type Power System Based on TabRAM
inferred← citeshttps://doi.org/10.22323/1.070.0010openalex-snapshot
Multivariate Methods in Particle Physics: Today and Tomorrow
inferred← citeshttps://doi.org/10.26636/jtit.2015.3.967openalex-snapshot
Multi-layered Bayesian Neural Networks for Simulation and Prediction Stress-Strain Time Series
inferred← citeshttps://doi.org/10.3233/faia240765openalex-snapshot
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space
inferred← citeshttps://doi.org/10.3233/jae-230140openalex-snapshot
Identification and characterization of damaged fiber-reinforced laminates in a Bayesian framework
inferred← citeshttps://doi.org/10.3389/fams.2026.1854495openalex-snapshot
Characterizing LLM performance via a Bayesian lens
inferred← citeshttps://doi.org/10.3389/fgene.2015.00285openalex-snapshot
A survey about methods dedicated to epistasis detection
inferred← citeshttps://doi.org/10.3389/fnana.2016.00063openalex-snapshot
Structural Plasticity, Effectual Connectivity, and Memory in Cortex
inferred← citeshttps://doi.org/10.3389/fnbot.2025.1575995openalex-snapshot
Toward accurate single image sand dust removal by utilizing uncertainty-aware neural network
inferred← citeshttps://doi.org/10.3389/fphy.2021.738112openalex-snapshot
Artificial Intelligence for Monte Carlo Simulation in Medical Physics
inferred← citeshttps://doi.org/10.3390/buildings15152718openalex-snapshot
Uncertainty-Aware Earthquake Forecasting Using a Bayesian Neural Network with Elastic Weight Consolidation
inferred← citeshttps://doi.org/10.3390/ma15134386openalex-snapshot
Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches
inferred← citeshttps://doi.org/10.3390/rs15030599openalex-snapshot
Auto-Diagnosis of Time-of-Flight for Ultrasonic Signal Based on Defect Peaks Tracking Model
inferred← citeshttps://doi.org/10.3390/s23125395openalex-snapshot
Uncertainty Prediction for Monocular 3D Object Detection
inferred← citeshttps://doi.org/10.3390/s23239494openalex-snapshot
Aero-Engine Remaining Useful Life Prediction Based on Bi-Discrepancy Network
inferred← citeshttps://doi.org/10.3390/s24061981openalex-snapshot
An Analysis of Loss Functions for Heavily Imbalanced Lesion Segmentation
inferred← citeshttps://doi.org/10.3390/w17091263openalex-snapshot
Advancing Sea Ice Thickness Hindcast with Deep Learning: A WGAN-LSTM Approach
inferred← citeshttps://doi.org/10.35752/1991-2927-2019-4-58-57-63openalex-snapshot
THE OBJECT-TRAJECTORY TRACKING ALGORITHM BASED ON THE COMBINATION OF BAYESIAN NEURAL NETWORKS AND NONLINEAR KALMAN FILTRATION PROCEDURES
inferred← citeshttps://doi.org/10.36227/techrxiv.22324951openalex-snapshot
Normalizing Flow based Uncertainty Estimation for Deep Regression Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.1101.1014openalex-snapshot
Rare B decays at the Tevatron
inferred← citeshttps://doi.org/10.48550/arxiv.1903.07594openalex-snapshot
Combining Model and Parameter Uncertainty in Bayesian Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1910.00101openalex-snapshot
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception
inferred← citeshttps://doi.org/10.48550/arxiv.2011.09707openalex-snapshot
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry
inferred← citeshttps://doi.org/10.48550/arxiv.2101.09798openalex-snapshot
Exploring ensembles and uncertainty minimization in denoising networks
inferred← citeshttps://doi.org/10.54097/jceim.v11i1.9475openalex-snapshot
The Study of Online Public Opinion Method Based on Emotional Analysis and CNN
inferred← citeshttps://doi.org/10.5539/cis.v16n2p20openalex-snapshot
The Role of Machine Learning in the Detection and Classification of Brain Tumors: A Literature Review of the Past Two Years
inferred← citeshttps://doi.org/10.6084/m9.figshare.20267401openalex-snapshot
Additional file 1 of Blood–brain barrier penetration prediction enhanced by uncertainty estimation
inferred← citeshttps://doi.org/10.70675/92fd40b8z03c6z4261z88dez1d4b85e069a4openalex-snapshot
Classification par méthodes d'apprentissage supervisé et faiblement supervisé d'images multimodales pour l'aide au diagnostic du lentigo malin en dermatologie
inferred← citeshttps://doi.org/10.70675/bd973b10z4931z4814za8e6z9104797a90ddopenalex-snapshot
Conception de modèles d'apprentissage profond pour les inversions de surface et atmosphériques à partir du sondeur infrarouge IASI
inferred← citeshttps://doi.org/10.7907/4r7r-w573openalex-snapshot
Classification and approximation with rule-based networks
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.