yusuke1997/dblp-id-title huggingface dataset:
DEIDS: a novel intrusion detection system for industrial control systems
A Novel Fuzzy Rough Clustering Parameter-based missing value imputation
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation
Theory and applications of artificial immune systems
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Exploration of intelligent housing price forecasting based on the anchoring effect
A novel approach to predict the traffic accident assistance based on deep learning
Just-in-time software defect prediction using deep temporal convolutional networks
A combination of artificial neural network and random walk models for financial time series forecasting
An interior search algorithm based on chaotic and crossover strategies for parameter extraction of polyphase induction machines
An accurate Cluster chaotic optimization approach for digital medical image segmentation
A novel concept of domination in m-polar interval-valued fuzzy graph and its application
LZW-CIE: a high-capacity linguistic steganography based on LZW char index encoding
A novel forecasting model for time series using optimized interval division and fuzzy relationships
Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings
Chimera states and information transfer in interacting populations of map-based neurons
Using a heuristic approach to derive a grey-box model through an artificial neural network knowledge extraction technique
ESRE: handling repeated entities in distant supervised relation extraction
Visualising deep network time-series representations
Deep recurrent Q-learning for energy-constrained coverage with a mobile robot
Knowledge-based extreme learning machines
Evaluation of High Line city park user satisfaction with machine learning: COVID-19 process year-based sentiment analysis
A novel subgraph querying method based on paths and spectra
Visual localization under appearance change: filtering approaches
A study on the relationship between the rank of input data and the performance of random weight neural network
Correction: Construction of neural distinguishers of the tiny encryption algorithm family block ciphers
Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction
A hybrid method for fire detection based on spatial and temporal patterns
Conditional neural sequence learners for generating drums' rhythms
Deep neural network architectures for dysarthric speech analysis and recognition
Increasing energy efficiency of bitcoin infrastructure with reinforcement learning and one-shot path planning for the lightning network
Two-stage adaptive integration of multi-source heterogeneous data based on an improved random subspace and prediction of default risk of microcredit
Hyperparameter optimization of pre-trained convolutional neural networks using adolescent identity search algorithm
Optimization for image stereo-matching using deep reinforcement learning in rule constraints and parallax estimation
Using join learning of multi-level features for automated essay scoring
A novel meta-learning initialization method for physics-informed neural networks
(1 + PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems
Optimisation of used nuclear fuel canister loading using a neural network and genetic algorithm
Output synchronization analysis of coupled fractional-order neural networks with fixed and adaptive couplings
Neural network-based construction of online prediction intervals
Interval type-2 fuzzy neural network-based adaptive compensation control for omni-directional mobile robot
A lossless data hiding scheme for medical images using a hybrid solution based on IBRW error histogram computation and quartered interpolation with greedy weights
Improving ELM-based microarray data classification by diversified sequence features selection
Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem
Energy demand classification by probabilistic neural network for medical diagnosis applications
Multi-stage multiform optimization for constrained multi-objective optimization
Implementation of artificial neural network using Levenberg Marquardt algorithm for Casson-Carreau nanofluid flow over exponentially stretching curved surface
ANN-based MPPT algorithm for solar PMSM drive system fed by direct-connected PV array
Estimation of causality in economic growth and expansionary policies using uplift modeling
Electric fish optimization: a new heuristic algorithm inspired by electrolocation
ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval
RSDiff: remote sensing image generation from text using diffusion model
Assessing cloud QoS predictions using OWA in neural network methods
Modeling a robust wind-speed forecasting to apply to wind-energy production
Service composition and optimal selection in cloud manufacturing: landscape analysis and optimization by a hybrid imperialist competitive and local search algorithm
Self-organizing neural networks for image segmentation based on multiphase active contour
Modified multi-layered perceptron applied to packing and covering problems
A transformer approach for predicting transitions in emotional trajectory directly from music audio
Multi-source knowledge integration based on machine learning algorithms for domain ontology
Review on R&D task integrated management of intelligent manufacturing equipment
Incorporating mutation scheme into krill herd algorithm for global numerical optimization
Relevance vector machines approach for long-term flow prediction
Bio-inspired visual neural network on spatio-temporal depth rotation perception
Multi-objective orthogonal opposition-based crow search algorithm for large-scale multi-objective optimization
Predicting rumor veracity on social media with cross-channel interaction of multi-task
Retraction Note: Tolerance rough set firefly-based quick reduct
A new iterative fuzzy approach to the multi-objective fractional solid transportation problem with mixed constraints using a bisection algorithm
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network
A bi-directional facial attribute transfer framework: transfer your single facial attribute to a portrait illustration
Constructing Runge-Kutta methods with the use of artificial neural networks
A picture fuzzy similarity measure based on direct operations and novel multi-attribute decision-making method
Special Issue: Contemporary development of neural computation and applications
Angular regularization for unsupervised domain adaption on person re-identification
Twin support vector machine: theory, algorithm and applications
An integrated decision-making process for risk analysis of decentralized finance
Programmable evolution of computing circuits in cellular populations
Dynamic adaptive generative adversarial networks with multi-view temporal factorizations for hybrid recovery of missing traffic data
Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Retraction Note: Research on control strategy and policy optimal scheduling based on an improved genetic algorithm
An oscillation-driven neural network for the simulation of an olfactory system
Grid quorum-based spatial coverage for IoT smart agriculture monitoring using enhanced multi-verse optimizer
Temporal prediction model with context-aware data augmentation for robust visual reinforcement learning
Retraction Note to: Computer-aided prediction of the Al 2 O 3 nanoparticles' effects on tensile strength and percentage of water absorption of concrete specimens
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Integrating genomic binding site predictions using real-valued meta classifiers
An efficient Sheep Flock Optimization-based hybrid deep RaNN for secure and enhanced video transmission quality
A unified kernel sparse representation framework for supervised learning problems
Correction To: Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder
Optimal body mass index cutoff point for cardiovascular disease and high blood pressure
Building a cluster of intelligent, adaptive web sites
Gesture recognition of graph convolutional neural network based on spatial domain
Model free adaptive fault-tolerant consensus tracking control for multiagent systems
Toward multi-category garments virtual try-on method by coarse to fine TPS deformation
Distributed representation learning via node2vec for implicit feedback recommendation
Dual attention composition network for fashion image retrieval with attribute manipulation
LBPMobileNet-based novel and simple leather image classification method
Conditional adversarial segmentation and deep learning approach for skin lesion sub-typing from dermoscopic images
A simplified linguistic information feedback-based dynamical fuzzy system
Soret and MHD effects on bioconvection wall jet flow of nanofluid containing gyrotactic microorganisms
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
Neural-network-based stable control by using harmonic analysis
Interval-valued intuitionistic fuzzy Frank aggregation operators and their applications to multiple attribute group decision making
Simulation and evaluation of system of fuzzy linear Fredholm integro-differential equations with fuzzy neural network
YOLOv7 for brain tumour detection using morphological transfer learning model
A novel improved antlion optimizer algorithm and its comparative performance
Fuzzy-based modeling of thermohydraulic aspect of solar air heater roughened with inclined broken roughness
Dynamic neural networks for gas turbine engine degradation prediction, health monitoring and prognosis
Highway accident number estimation in Turkey with Jaya algorithm
Revisiting recommender systems: an investigative survey
PSTCGCN: Principal spatio-temporal causal graph convolutional network for traffic flow prediction
Short-term traffic flow forecasting: parametric and nonparametric approaches via emotional temporal difference learning
Multimodal object detection: an architecture using feature-level fusion and deep learning
pth Moment synchronization of Markov switched neural networks driven by fractional Brownian noise
Uncertainty evaluation and model selection of extreme learning machine based on Riemannian metric
Comments on "An application of parametric approach for interval differential equation in inventory model for deteriorating items with selling-price-dependent demand"
Retinal fundus image enhancement using an ensemble framework for accurate glaucoma detection
Support matrix machine with pinball loss for classification
Face clustering using a weighted combination of deep representations
A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery
Fingerprint minutiae filtering using ARTMAP
Alzheimer's stage progression modeling using graph neural network and MRI biomarkers
A novel approach to prediction of rheological characteristics of jet grout cement mixtures via genetic expression programming
Selection of mine development scheme based on similarity measure under fuzzy environment
Data-driven deep density estimation
Multimodal deep collaborative filtering recommendation based on dual attention
Neural equalization applied to systems with bidimensional digital modulation
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans
Hybrid learning model for spatio-temporal forecasting of PM 2.5 using aerosol optical depth
Learning a causal structure: a Bayesian random graph approach
Neural network in sports cluster analysis
Black-box attacks on face recognition via affine-invariant training
Levy flight-particle swarm optimization-assisted BiLSTM + dropout deep learning model for short-term load forecasting
A PDP Constructive Algorithm for System Modelling
Dynamical Responses of Chaotic Memory Dynamics to Weak Input in a Recurrent Neural Network Model
Efficient and hardware-friendly methods to implement competitive learning for spiking neural networks
An input information enhanced model for relation extraction
AGBUNet: an enhanced CNN-UNET architecture for the prediction of above ground biomass using deep learning
Multi-lag latent variable models for industrial process monitoring in dynamic and static states
Cross-sample entropy for the study of coordinated brain activity in calm and distress conditions with electroencephalographic recordings
Classification of pavement crack types based on square bounding box diagonal matching method
Prediction of power in solar stirling heat engine by using neural network based on hybrid genetic algorithm and particle swarm optimization
A novel chaotic differential evolution hybridized with quadratic programming for short-term hydrothermal coordination
A variant of the SOM algorithm and its interpretation in the viewpoint of social influence and learning
Multi-agent air combat with two-stage graph-attention communication
A Probabilistic Neural Network for Attribute Selection in Stereovision Matching
Retraction Note: Optimization design and reality of the virtual cutting process for the boring bar based on PSO-BP neural networks
An autoencoder-based approach for feature engineering in cardiovascular disease prediction
Special issue on Latin-American computational intelligence
Exploration of English speech translation recognition based on the LSTM RNN algorithm
ECG classification using a CNN stacked with an autoencoder trained with synthetic signals
Correction to: Multiclass feature selection with metaheuristic optimization algorithms: a review
Deep learning-based segmentation for medical data hiding with Galois field
Combining transformer based deep reinforcement learning with Black-Litterman model for portfolio optimization
UAV path planning in mountain areas based on a hybrid parallel compact arithmetic optimization algorithm
Detecting variabilities of ECG signals by Lyapunov exponents
A maximum-entropy-attention-based convolutional neural network for image perception
Integration of causal inference in the DQN sampling process for classical control problems
Facial emotion recognition and encoding application for the visually impaired
Indoor human activity recognition using high-dimensional sensors and deep neural networks
A novel numerical optimization algorithm inspired from garden balsam
Particle classification optimization-based BP network for telecommunication customer churn prediction
A cryptosystem with noncommutative platform groups
An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network
How do financial time series enhance the detection of news significance in market movements? A study using graph neural networks with heterogeneous representations
Plant disease recognition using fractional-order Zernike moments and SVM classifier
Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal
SPINet: self-supervised point cloud frame interpolation network
Retraction Note: Lung cancer prediction using higher-order recurrent neural network based on glowworm swarm optimization
Neural Controller for Business Management
A Siamese neural network-based diagnosis of COVID-19 using chest X-rays
Incorporating global search capability of a genetic algorithm into neural computing to model seismic records and soil test data
Privacy BERT-LSTM: a novel NLP algorithm for sensitive information detection in textual documents
Robust adaptive backstepping INTSM control for robotic manipulators based on ELM
An algorithm of nonnegative matrix factorization under structure constraints for image clustering
Controlling a robot manipulator with fuzzy voice commands using a probabilistic neural network
An UWB-based indoor coplanar localization and anchor placement optimization method
Presentation of a new hybrid approach for forecasting economic growth using artificial intelligence approaches
Improved transmission of vector quantized data over noisy channels
Experimental validation of optimized performance of microbial fuel cell-based horned lizard algorithm and artificial intelligence
Polyp image segmentation based on improved planet optimization algorithm using reptile search algorithm
Signal detection based on empirical mode decomposition and Teager-Kaiser energy operator and its application to P and S wave arrival time detection in seismic signal analysis
Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry
Group recursive discriminant subspace learning with image set decomposition
Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery
Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification
FAIPSO: fuzzy adaptive informed particle swarm optimization
MMNet: a medical image-to-image translation network based on manifold-value correction and manifold matching
Stereo correspondence using efficient hierarchical belief propagation
Double deep Q-network-based self-adaptive scheduling approach for smart shop floor
A personalized recommendation algorithm based on large-scale real micro-blog data
Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh
Towards end-to-end car license plate location and recognition in unconstrained scenarios
Single-scale robust feature representation for occluded person re-identification
A deep-learning-based facial expression recognition method using textural features
Synchronization of drive-response networks with event-based pinning control
A hybrid CNN-ViT framework for skin disease classification via feature extraction and selection
Accelerated proximal stochastic variance reduction for DC optimization
Prioritized aggregation operators of trapezoidal intuitionistic fuzzy sets and their application to multicriteria decision-making
Enhancing anomaly detection in WBANs using hybrid deep learning and optimization algorithms
Classification of thermal image of clinical burn based on incremental reinforcement learning
Farmers credit optimization decision model and applications based on common risk guarantee fund
New types of fuzzy ideals of BCI-algebras
Dimensionality reduction approach based on modified hunger games search: case study on Parkinson's disease phonation
An ensemble of RBF neural networks in decision tree structure with knowledge transferring to accelerate multi-classification
Image salient regions encryption for generating visually meaningful ciphertext image
Non-fragile observer-based H ∞ control for neutral stochastic hybrid systems with time-varying delay
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Training neuro-fuzzy using flower pollination algorithm to predict number of COVID-19 cases: situation analysis for twenty countries
Dynamics identification and control of nonlinear MIMO coupled plant using supervised neural gas and comparison with recurrent neural controller
Dynamical balance optimization and control of biped robots in double-support phase under perturbing external forces
Parameter estimation of photovoltaic cell and module models relied on metaheuristic algorithms including artificial ecosystem optimization
Self-organizing map approach for classification of mechanical and rotor faults on induction motors
Revisiting computer networking protocols by wireless sniffing on brain signal/image portals
Design of a supply chain network for determining the optimal number of items at the inventory groups based on ABC analysis: a comparison of exact and meta-heuristic methods
A new generalization of fuzzy BCK/BCI-algebras
Filament formation in lithium niobate memristors supports neuromorphic programming capability
Knowledge building through optimized classification rule set generation using genetic based elitist multi objective approach
Extracting online information from dual and multiple data streams
An efficient framework for outfit compatibility prediction towards occasion
SELM: Siamese extreme learning machine with application to face biometrics
A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting
Joint features classifier with genetic set for undersampled face recognition
Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
Tumor edge detection in mammography images using quantum and machine learning approaches
Improved extreme learning machine with AutoEncoder and particle swarm optimization for short-term wind power prediction
Estimation of voting behavior in election using support vector machine, extreme learning machine and deep learning
Financial credit risk prediction in internet finance driven by machine learning
Dose multimodal machine translation can improve translation performance?
Adaptive NN-based finite-time trajectory tracking control of wheeled robotic systems
A neural network based solution for automatic typing errors correction
Solving a many-objective PFSP with reinforcement cumulative prospect theory in low-volume PCB manufacturing
Neural network-based model for predicting particle size of AZ61 powder during high-energy mechanical milling
Incremental multiple instance outlier detection
Sparsity-regularized feature selection for multi-class remote sensing image classification
A neural-based concurrency control algorithm for database systems
A deep convolutional neural network model for automated identification of abnormal EEG signals
SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting
A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum fermentation time of black tea
A food source-updating information-guided artificial bee colony algorithm
Construction of artificial neural network economic forecasting model based on the consideration of state transition diagram
Data-efficient convolution-free vision transformers for small-scale defective insulator classification using token-based distillation
Multi-CODP decision models for supplier selection and order allocation in customized logistics service supply chain
Deep-learning-based human activity recognition for Alzheimer's patients' daily life activities assistance
Retraction Note: Securing e-health records using keyless signature infrastructure blockchain technology in the cloud
Attention-optimized vision-enhanced prompt learning for few-shot multi-modal sentiment analysis
Intelligent equipment design assisted by Cognitive Internet of Things and industrial big data
KGAnet: a knowledge graph attention network for enhancing natural language inference
Fine-tuning with local learning rules helps to compress and accelerate spiking neural networks without accuracy loss
Constrained classifier: a novel approach to nonlinear classification
Enhancing road safety with DL vision: Do driver distraction alerts hold the key?
Boosting Archimedes optimization algorithm using trigonometric operators based on feature selection for facial analysis
Short-term forecasting of the Italian load demand during the Easter Week
Enhancing monocular depth estimation with an advanced encoder-decoder architecture
SHEG: summarization and headline generation of news articles using deep learning
A multi-task framework for metric learning with common subspace
A new framework for sign language alphabet hand posture recognition using geometrical features through artificial neural network (part 1)
An Online Learning Approach: A Methodology for Time Varying Applications
Exclusive lasso-based k-nearest-neighbor classification
Gait recognition and micro-expression recognition based on maximum margin projection with tensor representation
Formula-E race strategy development using artificial neural networks and Monte Carlo tree search