yusuke1997/dblp-id-title huggingface dataset:
Fuzzy recurrence plot-based analysis of dynamic and static spiral tests of Parkinson's disease patients
Retraction Note: A study on car flow organization in the loading end of heavy haul railway based on immune clonal selection algorithm
Kernelshap-nas: a shapley additive explanatory approach for characterizing operation influences
Reinforcement learning-based distributed cooperative sliding mode control for unmanned surface vehicles
MethEvo: an accurate evolutionary information-based methylation site predictor
A discriminant graph nonnegative matrix factorization approach to computer vision
Predictive VNF auto-scaling based on genetic programming
Dragonfly Algorithm for solving probabilistic Economic Load Dispatch problems
Soft computing model coupled with statistical models to estimate future of stock market
QoS intelligent prediction for mobile video networks: a GR approach
Optimization of decoupling point position using metaheuristic evolutionary algorithms for smart mass customization manufacturing
Fault detection and diagnosis method for batch process based on ELM-based fault feature phase identification
Deciphering an RGB color image cryptosystem based on Choquet fuzzy integral
Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers
DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documents
A novel deep convolutional encoder-decoder network: application to moving object detection in videos
A data ensemble approach for real-time air quality forecasting using extremely randomized trees and deep neural networks
Incorporating a machine learning technique to improve open-channel flow computations
Improving speed control characteristics of PMDC motor drives using nonlinear PI control
Intelligent computing approach to solve the nonlinear Van der Pol system for heartbeat model
3D visual saliency and convolutional neural network for blind mesh quality assessment
A fuzzy back-propagation network approach for planning actions to shorten the cycle time of a job in dynamic random access memory manufacturing
Prescribed attractivity region selection for recurrent neural networks based on deep reinforcement learning
Transformer transfer learning emotion detection model: synchronizing socially agreed and self-reported emotions in big data
Sparse subspace clustering with low-rank transformation
Enhancing CNN model classification performance through RGB angle rotation method
An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis
Nonlinear and reinforcement learning control for motion of hybrid aerial underwater vehicle
Fuzzy control of a class of autonomous formation constrained systems
Genetic Algorithms and Their Applications to the Design of Neural Networks
Performance analysis of stirling engine using computational intelligence techniques (ANN & Fuzzy Mamdani Model) and hybrid algorithms (ANN-PSO & ANFIS)
A label-guided contrastive capsule network for few-shot text classification
Transformers analyzing poetry: multilingual metrical pattern prediction with transfomer-based language models
A lightweight siamese transformer for few-shot semantic segmentation
Hypergraph convolutional network for hyperspectral image classification
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
A hybrid differential evolution algorithm with estimation of distribution algorithm for reentrant hybrid flow shop scheduling problem
Self-supervised contrastive learning for heterogeneous graph based on multi-pretext tasks
An explainable approach for prediction of remaining useful life in turbofan condition monitoring
Leveraging greater relations for improving multi-choice reading comprehension
Wide area monitoring and protection of microgrid with DGs using modular artificial neural networks
An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification
Adaptive radial basis function networks with kernel shape parameters
Multi-objective particle swarm optimization algorithm using adaptive archive grid for numerical association rule mining
Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model
An integrated convolutional neural network with attention guidance for improved performance of medical image classification
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems
Incorporating feature selection method into support vector regression for stock index forecasting
Application of Neural Networks to Cache Replacement
Financial Forecasting Using Support Vector Machines
A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model
Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN
Bernstein-Levy differential evolution algorithm for numerical function optimization
Multiple models switching control based on recurrent neural networks
AFuNet: an attention-based fusion network to classify texts in a resource-constrained language
ARTC: feature selection using association rules for text classification
Improved inception-residual convolutional neural network for object recognition
A new R&D-based algorithm for optimization of large-scale problems
SoftClusterMix: learning soft boundaries for empirical risk minimization
Evaluation of LSTM for predicting grip strength using electromyography: a comparison of setups and methods
Efficient scale estimation methods using lightweight deep convolutional neural networks for visual tracking
Controlled blockchain enabled data record security for healthcare applications
Persistent rule-based interactive reinforcement learning
Memristor-based affective associative memory neural network circuit with emotional gradual processes
Improving the transferability of adversarial examples with separable positive and negative disturbances
Effect of artificial intelligence auxiliary equipment in the process of cognitive learning
Multi-stage extreme learning machine for fault diagnosis on hydraulic tube tester
Analyzing cytogenetic chromosomal aberrations on fibrolamellar hepatocellular carcinoma detected by single-nucleotide polymorphs array
Relating halftone dot quality to paper surface topography
N-IoU: better IoU-based bounding box regression loss for object detection
A real noise resistance for anti-tampering quick response code
Deployment of smart home management system at the edge: mechanisms and protocols
Development of multi-objective equilibrium optimizer: application to cancer chemotherapy
Special issue on extreme learning machine and deep learning networks
Spatial-temporal grid clustering method based on frequent stay point recognition
Multi-objective league championship algorithm for real-time task scheduling
Prediction of chemical compounds properties using a deep learning model
Robust eigenvalue placement optimization for high-order descriptor systems in a union region with disjoint discs based on harmony search algorithm
Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
Damage identification method of prestressed concrete beam bridge based on convolutional neural network
A novel medical image security and compression based on multiple-order fractional quaternion Hahn moments and 2D-chaotic map
Electrical load forecasting based on self-adaptive chaotic neural network using Chebyshev map
A novel audio watermarking scheme using ensemble-based watermark detector and discrete wavelet transform
An optimal method for data clustering
A Neural Network Methodology and Strategy of Quadratic Optimisation
Control of Nonlinear Systems Using a Self-Organising Neural Network
Simulation and control of intelligent photovoltaic system using new hybrid fuzzy-neural method
Prediction of actual evapotranspiration by artificial neural network models using data from a Bowen ratio energy balance station
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images
Expected scalarised returns dominance: a new solution concept for multi-objective decision making
A parallel feature selection method study for text classification
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
An effective deep actor-critic reinforcement learning method for solving the flexible job shop scheduling problem
Robust IMC-PID tuning for cascade control systems with gain and phase margin specifications
A multi-objective Artificial Bee Colony algorithm for cost-sensitive subset selection
Foodnet: multi-scale and label dependency learning-based multi-task network for food and ingredient recognition
Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities
Transient chaotic neural network-based disjoint multipath routing for mobile ad-hoc networks
Reference-guided face inpainting with reference attention network
Application of fuzzy cognitive maps for crack categorization in columns of reinforced concrete structures
Scene guided colorization using neural networks
Modeling Federal Funds rates: a comparison of four methodologies
Artificial neural network approaches for modeling absorption spectrum of nanowire solar cells
Comparison of connectionist and multiple regression approaches for prediction of body weight of goats
Investigation of PCA as a compression pre-processing tool for X-ray image classification
Explainable AI approach for early detection of Parkinson's disease using PPMI Online data
Collaborative representation-based discriminant neighborhood projections for face recognition
Applying evolutionary methods for early prediction of sleep onset
Estimation algorithm research for lithium battery SOC in electric vehicles based on adaptive unscented Kalman filter
Color-depth multi-task learning for object detection in haze
A deep discriminative and robust nonnegative matrix factorization network method with soft label constraint
Assessment of deflection of pile implanted on slope by artificial neural network
A Review of data fusion models and architectures: towards engineering guidelines
Fake news detection based on multi-modal domain adaptation
An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map
A predictive and explanatory model for remaining useful life of crushers using deep learning
Multidimensional scaling with discrimination coefficients for supervised visualization of high-dimensional data
Incremental gravitational search algorithm for high-dimensional benchmark functions
Comparing Networks with Differing Neural-Node Functions Using Transputer-based Genetic Algorithms
Deep encoder-decoder-based shared learning for multi-criteria recommendation systems
A light defect detection algorithm of power insulators from aerial images for power inspection
Deep Learning-based Image Analysis Method for Estimation of Macroscopic Spray Parameters
Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks
Learning a data-efficient model for a single agent in homogeneous multi-agent systems
A novel aspect-based sentiment classifier using whale optimized adaptive neural network
A power spectrum optimization algorithm inspired by magnetotactic bacteria
Adaptive near optimal neural control for a class of discrete-time chaotic system
A deep learning-based protection scheme for fault detection and classification in wind integrated HVDC transmission system under dissimilar fault scenarios and uncertain conditions
A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms
An MLP-based representation of neural tensor networks for the RDF data models
Linguistic hesitant intuitionistic fuzzy decision-making method based on VIKOR
Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks
Task scheduling system for UAV operations in indoor environment
Astute, fine and fast method of iris segmentation in unlimited circumstances
A universal closed-loop brain-machine interface framework design and its application to a joint prosthesis
Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy
Variational Gaussian topic model with invertible neural projections
Optimal control problem via neural networks
An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
Unsupervised instance selection via conjectural hyperrectangles
A multilayered framework for diagnosis and classification of Alzheimer's disease using transfer learned Alexnet and LSTM
A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals
Futures price prediction of agricultural products based on machine learning
A comparative study on prediction of survival event of heart failure patients using machine learning algorithms
Passive ship detection and classification using hybrid cepstrums and deep compound autoencoders
An optimal segmentation with deep learning based inception network model for intracranial hemorrhage diagnosis
Synchronization criteria and pinning control for complex networks with multiple delays
Structural damage identification of existing bridges using machine learning-aided nested sequential optimization
Event-triggered trajectory-tracking guidance for reusable launch vehicle based on neural adaptive dynamic programming
AutoML for shape-writing biometrics
The switching algorithm for the control of overhead crane
A new Arabic handwritten character recognition deep learning system (AHCR-DLS)
Distributed localization for IoT with multi-agent reinforcement learning
A novel system for fast and accurate decisions of gold-stock markets in the short-term prediction
Exploring the best sequence LSTM modeling architecture for flood prediction
Forecasting traffic flow with spatial-temporal convolutional graph attention networks
Evaluating generalization through interval-based neural network inversion
Monthly long-term rainfall estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP models
Neural Networks Apllied to Ultrasonic Tomographic Image Reconstruction
Predefined-time synchronization of fuzzy competitive neural networks via adaptive sliding mode control
Correction to: Utilizing social media and machine learning for personality and emotion recognition using PERS
Potential analysis of radiographic images to determine infestation of rice seeds
Measuring congestion in sustainable supply chain based on data envelopment analysis
A novel invasive plant detection approach using time series images from unmanned aerial systems based on convolutional and recurrent neural networks
Correction to: Value targets in off-policy AlphaZero: a new greedy backup
Strength retrieval of artificially cemented bauxite residue using machine learning: an alternative design approach based on response surface methodology
Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression
A 3D-convolutional-autoencoder embedded Siamese-attention-network for classification of hyperspectral images
AM-ConvGRU: a spatio-temporal model for typhoon path prediction
Generating word and document matrix representations for document classification
Learning to colorize near-infrared images with limited data
Correction to: A review of machine learning-based human activity recognition for diverse applications
Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey
Predictive models for treated clayey soils using waste powdered glass and expanded polystyrene beads using regression analysis and artificial neural network
A novel human actions recognition and classification using semantic segmentation with deep learning techniques
A trusted routing mechanism for multi-attribute chain energy optimization for Industrial Internet of Things
Spatio-temporal knowledge embedding via circular correlation: insights into functional urban area travel pattern mining
Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques
Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function
A multi-head adjacent attention-based pyramid layered model for nested named entity recognition
An adaptive neural networks formulation for the two-dimensional principal component analysis
EFLDet: enhanced feature learning for object detection
Predicting the area moment of inertia of beam and column using machine learning and HyperNetExplorer
An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems
Synchronization of single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control scheme
Enterprise innovation evaluation method based on swarm optimization algorithm and artificial neural network
Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method
Hyperspectral image super-resolution using recursive densely convolutional neural network with spatial constraint strategy
Bipartite finite time synchronization for general Caputo fractional-order impulsive coupled networks
Applying the fuzzy lattice neurocomputing (FLN) classifier model to gear fault diagnosis
When sparse coding meets ranking: a joint framework for learning sparse codes and ranking scores
An end-to-end machine learning approach with explanation for time series with varying lengths
A Multi-Output-Layer Perceptron
Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers
Neuro-Resistive Grid Appraoch to Trainable Controllers: A Pole Balancing Example
A deep learning approach on short-term spatiotemporal distribution forecasting of dockless bike-sharing system
A bioinspired neural dynamics-based approach to tracking control of autonomous surface vehicles subject to unknown ocean currents
A special 0-1 Knapsack problem for a small vegetable retailing system under fuzziness: a swarm optimization based approach
RFID-based intelligent shopping environment: a comprehensive evaluation framework with neural computing approach
(μ , ν )-Pseudo-almost automorphic solutions for high-order Hopfield bidirectional associative memory neural networks
LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying
Classification consistency analysis for bootstrapping gene selection
Borrowing wisdom from world: modeling rich external knowledge for Chinese named entity recognition
Probabilistic identification of subsurface gypsum geohazards using artificial neural networks
FRIC: a framework for feature importance explanations and evaluation in span-level NLP
Machine learning approach for face image retrieval
Hybrid nanofluid radiative flow across a permeable convective moving surface with heat generation: Numerical and statistical approach
An efficient algorithm for 3D hand gesture recognition using combined neural classifiers
Growing RBFNN-based soft computing approach for congestion management
A novel approach to solar radiation forecasting using a SARIMA-LSTM hybrid model with seasonal trend loess decomposition
Explaining COVID-19 diagnosis with Taylor decompositions
Crop weed separation through image-level segmentation: an ensemble of modified U-Net and encoder-decoder
A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems
A fine-grained Random Forests using class decomposition: an application to medical diagnosis
A primal method for multiple kernel learning
A deep belief network to predict the hot deformation behavior of a Ni-based superalloy
Aggressive and robust low-level control and trajectory tracking for quadrotors with deep reinforcement learning
MECPformer: multi-estimations complementary patch with CNN-transformers for weakly supervised semantic segmentation
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction
CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection
ViT-SENet-Tom: machine learning-based novel hybrid squeeze-excitation network and vision transformer framework for tomato fruits classification
An intelligent intrusion detection system by using hierarchically structured learning automata
Finite-time lag synchronization for uncertain complex networks involving impulsive disturbances
Radial basis function neural network training using variable projection and fuzzy means
Performance analysis and improvement of machine learning algorithms for automatic modulation recognition over Rayleigh fading channels
Reflection of people's professions on social media platforms
Artificial neural network models for HFCS isomerization process
Some two-dimensional uncertain linguistic Heronian mean operators and their application in multiple-attribute decision making
Comparing machine learning algorithms for imputation of missing time series in meteorological data
An approach for test data generation using program slicing and particle swarm optimization
Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways
A genetic programming-based convolutional neural network for image quality evaluations
Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention
Hierarchical projection regression for online estimation of elbow joint angle using EMG signals
Neural Computation links Neuroscience: a synergistic approach
Noisy fingerprints classification with directional FFT based features using MLP
Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems
Robots learn to dance through interaction with humans
GAL: combining global and local contexts for interpersonal relation extraction toward document-level Chinese text
Iterative facial image inpainting based on an encoder-generator architecture
River discharge simulation using variable parameter McCarthy-Muskingum and wavelet-support vector machine methods
Learning economically for Chinese word segmentation: tuning pretrained model via active learning and N-gram preference
CEA-Net: a co-interactive external attention network for joint intent detection and slot filling
An improved PTS scheme based on a novel discrete invasive weed optimization algorithm for PAPR reduction in the UFMC signal
Real-time running workouts monitoring using Cloud-Edge computing
Binary cross-entropy with dynamical clipping
Electrical consumption forecasting: a framework for high frequency data
Group learning algorithm: a new metaheuristic algorithm
Automatic analysis of DIFC systems using noninterference with declassification
Supervised learning in the presence of concept drift: a modelling framework
An improved dynamic structure-based neural networks determination approaches to simulation optimization problems
Coronavirus herd immunity optimizer (CHIO)