yusuke1997/dblp-id-title huggingface dataset:
Classification of urban functional zones through deep learning
Automatic fuzzy clustering for probability density functions using the genetic algorithm
One-class graph moderating attention neural network in quality assessment of creative ideas
DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques
β-CapsNet: learning disentangled representation for CapsNet by information bottleneck
Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification
Correction: Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark
Pose-invariant features and personalized correspondence learning for face recognition
Dual-stage classification for lung cancer detection and staging using hybrid deep learning techniques
EduNER: a Chinese named entity recognition dataset for education research
Can deep learning solve a preschool image understanding problem?
Detection of COVID-19 from CT scan images: A spiking neural network-based approach
Using data mining technique to perform the performance assessment of lean service
Retraction Note to: Feature extraction and ML techniques for static gesture recognition
Improving reading comprehension step by step using Online-Boost text readability classification system
GA-based multiresolution fusion of segmented brain images using PD-, T1- and T2-weighted MR modalities
Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels
Slime mould algorithm constrained by the relay operating time for optimal coordination of directional overcurrent relays using multiple standardized tripping curves
Orthogonal Taguchi-based cat algorithm for solving task scheduling problem in cloud computing
Improving optimization of convolutional neural networks through parameter fine-tuning
A joint intensity and edge magnitude-based multilevel thresholding algorithm for the automatic segmentation of pathological MR brain images
Parameter Significance Estimation and Financial Prediction
Towards an end-to-end isolated and continuous deep gesture recognition process
Compressing arrays of classifiers using Volterra-neural network: application to face recognition
Probabilistic two-dimensional principal component analysis and its mixture model for face recognition
Modular neural-SVM scheme for speech emotion recognition using ANOVA feature selection method
A simple contrastive embedding framework for low-resource fake news detection
ALP-Net: a segmentation-free approach for license plate recognition in unconstrained scenarios
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
An artificial neural network model for the prediction of bruxism by means of occlusal variables
Brain tumor classification in magnetic resonance image using hard swish-based RELU activation function-convolutional neural network
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders
Efficient machine learning algorithm for electroencephalogram modeling in brain-computer interfaces
A novel recommender system based on FFT with machine learning for predicting and identifying heart diseases
ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks
Optimization of wavelet neural networks with the firefly algorithm for approximation problems
Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening
A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
Multi-Route Multi-Objective TSP: mathematical model and its solution by reference point and aspiration level-based MOQO Jaya algorithm
A machining center selection study using neural networks
Evolving neural networks and fuzzy clustering for multireservoir operations
An application of variational iteration method for solving fuzzy time-fractional diffusion equations
AREP: an adaptive, machine learning-based algorithm for real-time anomaly detection on network telemetry data
Comparison of Neural Networks and Statistical Models to Predict Gestational Age at Birth
Partially disentangled latent relations for multi-label deep learning
Cross-media web video event mining based on multiple semantic-paths embedding
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine
Towards design and implementation of Industry 4.0 for food manufacturing
Privacy preserving perceptron learning in malicious model
DSLN: Dual-tutor student learning network for multiracial glaucoma detection
Stock price prediction: comparison of different moving average techniques using deep learning model
Fuzzy proximal relator spaces
Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings
Neural network-based approaches, solving haplotype reconstruction in MEC and MEC/GI models
Design of induction motor speed observer based on long short-term memory
A two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions
Neural network application in predicting advanced manufacturing technology implementation performance
Retraction Note: Image simulation of urban landscape in coastal areas based on geographic information system and machine learning
Injecting Knowledge into the Solution of the Two-Spiral Problem
Retraction Note: A self-adaptive genetic algorithm with improved mutation mode based on measurement of population diversity
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
Spiking neural firefly optimization scheme for the capacitated dynamic vehicle routing problem with time windows
New approach based on ANN and RBF for analyzing the spatial distribution of electromagnetic field from an exposure standpoint
A novel type-2 decision mechanism for dynamic parameter adaptation: theory and application in mathematical and structural problems
Learning to transfer attention in multi-level features for rotated ship detection
Scalable reinforcement learning-based neural architecture search
A hybrid connectionist/LCS for hidden-state problems
Small hydro power plant identification using NNARX structure
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
An overview on semi-supervised support vector machine
Real-time removal of ocular artifacts from EEG based on independent component analysis and manifold learning
Some refinements of the standard autoassociative neural network
SLTrans: a sequential learning transformer for extracting spatial-temporal features from EEG signals
Research on mining collaborative behaviour patterns of dynamic supply chain network from the perspective of big data
A novel application of kernel adaptive filtering algorithms for attenuation of noise interferences
A syntactic multi-level interaction network for rumor detection
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining
Flexible edge detection and its enhancement by smell bees optimization algorithm
Constructive function approximation by neural networks with optimized activation functions and fixed weights
A fuzzy clustering-based binary threshold bispectrum estimation approach
Hand posture and gesture recognition technology
Enhancement of a text-independent speaker verification system by using feature combination and parallel structure classifiers
Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings
Harris hawks optimization for COVID-19 diagnosis based on multi-threshold image segmentation
Some new types induced complex intuitionistic fuzzy Einstein geometric aggregation operators and their application to decision-making problem
Exploring how a generative AI interprets music
Traditional Chinese medicine entity relation extraction based on CNN with segment attention
Regression trees modeling of time series for air pollution analysis and forecasting
Weed detection and classification in sesame crops using region-based convolution neural networks
Machine learning for human emotion recognition: a comprehensive review
Deep learning-based sign language recognition system for static signs
Control of an omnidirectional spherical mobile robot using an adaptive Mamdani-type fuzzy control strategy
Assessment of relative impacts of various geo-mining factors on methane dispersion for safety in gassy underground coal mines: an artificial neural networks approach
Combining seasonal time series ARIMA method and neural networks with genetic algorithms for predicting the production value of the mechanical industry in Taiwan
Parameter identification method for sub-synchronous oscillation signals in power systems based on improved multi-synchrosqueezing transform and automatic recognition algorithm
The characterizations of hemirings in terms of fuzzy soft h -ideals
High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues
Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference
A classification study for Turkish folk music makam recognition using machine learning with data augmentation techniques
CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features
An improving integration-enhanced ZNN for solving time-varying polytope distance problems with inequality constraint
Adaptive differential search algorithm with multi-strategies for global optimization problems
MultiPINN: multi-head enriched physics-informed neural networks for differential equations solving
Construction of robust substitution boxes based on chaotic systems
CNN-LSTM and clustering-based spatial-temporal demand forecasting for on-demand ride services
Machine learning models for modeling the biosorption of Fe(III) ions by activated carbon from olive stone
EmotiphAI: a biocybernetic engine for real-time biosignals acquisition in a collective setting
Surface EMG data aggregation processing for intelligent prosthetic action recognition
Adaptive prescribed performance control for state constrained stochastic nonlinear systems with unknown control direction: a novel network-based approach
Integrating multicriteria PROMETHEE II method into a single-layer perceptron for two-class pattern classification
One deep music representation to rule them all? A comparative analysis of different representation learning strategies
Bifurcation analysis of a two-dimensional simplified Hodgkin-Huxley model exposed to external electric fields
An optimal solution for magnetohydrodynamic nanofluid flow over a stretching surface with constant heat flux and zero nanoparticles flux
Deformation Invariant Visual Object Recognition: Expriments with a Self-organising Neural Architecture
Human-like fault diagnosis using a neural network implementation of plausibility and relevance
Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition
RAST: finding related documents based on triplet similarity
Examining the effect of intellectual devices for healthiness using flower bee algorithm
Lung nodule detection and classification based on geometric fit in parametric form and deep learning
A new EEG software that supports emotion recognition by using an autonomous approach
Model reduction and optimization of reactive batch distillation based on the adaptive neuro-fuzzy inference system and differential evolution
An Adaptive Neuro-Fuzzy Approach to Control a Distillation Column
Intelligent IDS in wireless sensor networks using deep fuzzy convolutional neural network
Who should I trust? Cautiously learning with unreliable experts
Nature-inspired algorithm-based secure data dissemination framework for smart city networks
Uniaxial compressive strength prediction through a new technique based on gene expression programming
Human activity recognition via optical flow: decomposing activities into basic actions
Deep learning for short-term origin-destination passenger flow prediction under partial observability in urban railway systems
A hybrid meta-heuristic algorithm for optimization of capuchin search algorithm for high-dimensional biological data classification
Gene selection using independent variable group analysis for tumor classification
Solving many-objective optimisation problems using partial dominance
Optimised building energy and indoor microclimatic predictions using knowledge-based system identification in a historical art gallery
3DECNN: a novel method for segmentation of the diabetic retinopathy in retinal fundus images using 3D-edge CNN
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining
Siamada: visual tracking based on Siamese adaptive learning network
An enhanced KNN-based twin support vector machine with stable learning rules
Applications of neural networks for grading textile yarns
Decomposition-based 2-echelon multi-objective evolutionary algorithm with energy-efficient local search strategies for shop floor multi-crane scheduling problems
A novel matrix-based method for face recognition
Mango varietal discrimination using hyperspectral imaging and machine learning
Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods
Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction
Neural network approach based on a bilevel optimization for the prediction of underground blast-induced ground vibration amplitudes
Prediction water absorption resistance of lightweight geopolymers by artificial neural networks
Discriminative structure discovery via dimensionality reduction for facial image manifold
Robust composite adaptive neural network control for air management system of PEM fuel cell based on high-gain observer
Enhancing epigraphy: a deep learning approach to recognize and analyze Tamil ancient inscriptions
SwitchTree: in-network computing and traffic analyses with Random Forests
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis
Running-time analysis of evolutionary programming based on Lebesgue measure of searching space
Retraction Note to: Leakage detection and localization on water transportation pipelines: a multi-label classification approach
Pareto optimal design of reconfigurable rice seedling transplanting mechanisms using multi-objective genetic algorithm
Estimation of adaptive neuro-fuzzy inference system parameters with the expectation maximization algorithm and extended Kalman smoother
Incremental learning without looking back: a neural connection relocation approach
Groupers and moray eels (GME) optimization: a nature-inspired metaheuristic algorithm for solving complex engineering problems
Improving knee osteoarthritis classification using multimodal intermediate fusion of X-ray, MRI, and clinical information
Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models
Efficient and robust deep learning with Correntropy-induced loss function
A novel ensemble method for classification in imbalanced datasets using split balancing technique based on instance hardness (sBal_IH)
Neural Network Structures for Optimal Control of LPCVD Reactors
A QoS optimization system for complex data cross-domain request based on neural blockchain structure
A robust training algorithm of discrete-time MIMO RNN and application in fault tolerant control of robotic system
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks
Video saliency aware intelligent HD video compression with the improvement of visual quality and the reduction of coding complexity
Adaptive fuzzy system-based variable-structure controller for multivariable nonaffine nonlinear uncertain systems subject to actuator nonlinearities
Enclosing machine learning: concepts and algorithms
Use of neural networks for the prediction of the CBR value of some Aegean sands
Scheduling jobs with simultaneous considerations of controllable processing times and learning effect
A topic-aware classifier based on a hybrid quantum-classical model
Efficient vector quantization using genetic algorithm
Correction to: HierMDS: a hierarchical multi-document summarization model with global-local document dependencies
DDCM: a decentralized density clustering and its results gathering approach
Active learning with sampling by joint global-local uncertainty for salient object detection
Comparison of Kernel Estimators, Perceptrons and Radial-Basis Functions for OCR and Speech Classification
Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data
Robust thermal infrared tracking via an adaptively multi-feature fusion model
ROI-based feature learning for efficient true positive prediction using convolutional neural network for lung cancer diagnosis
DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting
Correction to: Multi-valued neural networks I: a multi-valued associative memory
A dual deep neural network with phrase structure and attention mechanism for sentiment analysis
Analyzing the impact of Driving tasks when detecting emotions through brain-computer interfaces
2D and 3D palmprint fusion and recognition using PCA plus TPTSR method
Detecting outliers in industrial systems using a hybrid ensemble scheme
Color pathological image encryption scheme with S-boxes generated by complex chaotic system and environmental noise
A novel deep learning approach to predict subject arm movements from EEG-based signals
Effective attention feature reconstruction loss for facial expression recognition in the wild
A Sanskrit-to-English machine translation using hybridization of direct and rule-based approach
Comparison of stochastic optimization methods for design optimization of permanent magnet synchronous motor
Quasi-projective synchronization of discrete-time BAM neural networks by discrete inequality techniques
Shallow and wide fractional max-pooling network for image classification
Flexible few-shot class-incremental learning with prototype container
Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming
The performance evaluation of diagonal recurrent neural network with different chaos neurons
Fast-flux hunter: a system for filtering online fast-flux botnet
Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
DeepGCSS: a robust and explainable contour classifier providing generalized curvature scale space features
Neural-adaptive control using alternate weights
Improving reinforcement learning with human assistance: an argument for human subject studies with HIPPO Gym
A secure cloud-based solution for real-time monitoring and management of Internet of underwater things (IOUT)
AI apology: interactive multi-objective reinforcement learning for human-aligned AI
A Dental Application of Neural Network Computing: Classification of Complex Electrical Impedance Measurements to Aid Root Canal Treatment
Correction: Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification
An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection
Evaluation on diabetic plantar pressure data-set employing auto-segmentation technologies
Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data
Cloud computing-based parallel genetic algorithm for gene selection in cancer classification
A genetic algorithm integrated with the initial solution procedure and parameter tuning for capacitated P-median problem
Retraction Note: A-COA: an adaptive cuckoo optimization algorithm for continuous and combinatorial optimization
Spike time displacement-based error backpropagation in convolutional spiking neural networks
Dual problem of sorptive barrier design with a multiobjective approach
Automated fruit grading using optimal feature selection and hybrid classification by self-adaptive chicken swarm optimization: grading of mango
Nonlinear dynamic systems identification based on dynamic wavelet neural units
Applications of type-2 fuzzy logic system: handling the uncertainty associated with candidate-well selection for hydraulic fracturing
Advanced machine learning techniques for microarray spot quality classification
Neural network models for simulating adsorptive eviction of metal contaminants from effluent streams using natural materials (NMs)
Crosstalk modeling in high-speed transmission lines by multilayer perceptron neural networks
Supervisory recurrent fuzzy neural network control for vehicle collision avoidance system design
iSSL-AL: a deep active learning framework based on self-supervised learning for image classification
Research on the distal supervised learning model with tract variables
Vibration prediction in drilling processes with HSS and carbide drill bit by means of artificial neural networks
Dementia diagnosis in young adults: a machine learning and optimization approach
Fuzzy Neural Network as Instance Generator for Case-Based Reasoning System: An Example of Selection of Heat Exchange Equipment in Mixing Tanks
Memetic algorithms for training feedforward neural networks: an approach based on gravitational search algorithm
Optimal siting and sizing of distributed generation in radial distribution system using a novel student psychology-based optimization algorithm
Correction to: A meta-heuristic-based energy efficient route modeling for EV on nonidentical road surfaces
Pedestrian mask-wearing detection based on YOLOv5 and DeepSORT
Developing correlations by extreme learning machine for calculating higher heating values of waste frying oils from their physical properties
Improved slime mould algorithm for optimal hybrid power system scheduling
Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears
Reducing the complexity of an adaptive radial basis function network with a histogram algorithm
NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem
E-waste circular economy decision-making: a comprehensive approach for sustainable operation management in the UK
Correction to: Classification of thermal image of clinical burn based on incremental reinforcement learning
Research on the improvement effect of machine learning and neural network algorithms on the prediction of learning achievement
An extended Pythagorean fuzzy VIKOR method with risk preference and a novel generalized distance measure for multicriteria decision-making problems
Wavelet-based self-supervised learning for multi-scene image fusion
Network security AIOps for online stream data monitoring
A novel image mining technique for classification of mammograms using hybrid feature selection
Positive consensus of fractional-order multi-agent systems
Residual deep PCA-based feature extraction for hyperspectral image classification
MCAD: Multi-classification anomaly detection with relational knowledge distillation
A lightweight and efficient intrusion detection system (IDS) for unmanned aerial vehicles
An optimizing method of RBF neural network based on genetic algorithm
Neural intellectual computing systems for the analysis of thermally stratified mixed convective micropolar liquid with the interaction of thermal diffusive nanofluid over a heated sheet