yusuke1997/dblp-id-title huggingface dataset:
Automated detecting and classifying of sleep apnea syndrome based on genetic-SVM
Optimal design of type-2 fuzzy systems for diabetes classification based on genetic algorithms
Extended fuzzy C-means clustering algorithm for hotspot events in spatial analysis
Local-global neuro-fuzzy system for color change modelling
Fuzzy modeling for data cleaning in sensor networks
Special Issue HIS 2007
SMOTE for enhancing Tunisian Hate Speech detection on social media with machine learning
Structurally optimized wavelet network based adaptive control for a class of uncertain underactuated systems with actuator saturation
Effectiveness of a hybrid pattern classifier for medical applications
Using the concept of instance typicality in instance-based learning environments involving nominal attributes
A hybrid method for the selection of facility layout using experimental design and grey relational analysis: A case study
The interpretation of feedforward neural networks for secondary structure prediction using sugeno fuzzy rules
Hybrid Intelligence in Software Release Planning
Intelligence techniques for prostate ultrasound image analysis
Lung cancer recognition and prediction according to random forest ensemble and RUSBoost algorithm using LIDC data
PointMap: A Real-Time Memory-Based Learning System with On-line and Post-Training Pruning
CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
Statistical properties for sequence produced by pseudorandom number generator used in well-known stream cipher
Survey on association rule analysis: Exploration using mining analysis
Paradigm shift from conventional software quality models to web based quality models
Actuator and system component fault tolerant control using interval type-2 Takagi-Sugeno fuzzy controller for hybrid nonlinear process
Immune ant swarm optimization for optimum rough reducts generation
Applications of Hybrid Extreme Rotation Forests for image segmentation
Semantic-driven bibliometric techniques for co-citation analysis
Bayesian model selection for barriers in online learning behaviors
Forecasting banking sectors in Indian stock markets using machine intelligence
A new intelligent artificial immune systems based ensemble for high-dimensional data clustering
Selective costing ensemble for handling imbalanced data sets
Hybrid feature selection through feature clustering for microarray gene expression data
A hybrid quantum evolutionary algorithm for solving engineering optimization problems
Hybrid optimisation and machine learning models for wind and solar data prediction
A control Liapunov function approach to generalized and regularized descent methods for zero finding
Predicting execution time of machine learning tasks for scheduling
Cost-forced and repeated selective information minimization and maximization for multi-layered neural networks
Automatic design of fuzzy logic controller using a genetic algorithm for collision-free, time-optimal navigation of a car-like robot
An interval Type-2 Fuzzy Subtractive Clustering approach to obstacle detection of robot vision using RGB-D camera
Rough colour quantisation
Learning to filter spam emails: An ensemble learning approach
Using machine learning to perform early diagnosis of Autism Spectrum Disorder based on simple upper limb movements
An efficient fuzzy based neuro - genetic algorithm for stock market prediction
On L-fuzzy proximity spaces
Dynamic parameterization of the particle swarm optimization and genetic algorithm hybrids for vehicle routing problem with time window
An hybrid cluster-based data centric routing protocol assisted by mobile sink for IoT system
Compression of community graph using graph mining techniques
Hybrid optimization techniques of pattern search and genetic algorithm: A case study in production system
A genetic scheduling strategy with spatial reuse for dense wireless networks
Diagnosing patients with a combination of principal component analysis and case based reasoning
Using optimisation techniques for discretizing rough set partitions
Fuzzy C-Means clustering and kohonen maps for the identification of regional electricity load day types
Missing values imputation for cDNA microarray data using ranked covariance vectors
Power system security enhancement using fuzzy logic composite criteria and particle swarm optimization algorithm
Sampling based hybrid algorithms for imbalanced data classification
Authorship attribution as a case of anomaly detection: A neural network model
A parameter-free barebones particle swarm algorithm for unsupervised pattern classification
Recent advances in intelligent paradigms fusion and their applications
A cognitive evaluation procedure for contour based shape descriptors
An enhanced auto adaptive vector evaluated-based metaheuristic for solving real-world problems
An approach to solving the problem of equipment replacement using periodic fuzzy graphs
Rainfall data classification using Mann-Kendall test statistics associated with Neuro Fuzzy technique: A case study of Chennai district
A hybrid clustering algorithm and web information foraging
A fuzzy co-clustering approach for hybrid recommender systems
Immune-inspired extreme learning machine: Performance evaluation and conceptual analyses
Recursive data mining for role identification in electronic communications
Revisiting the K-nn algorithm for obstetric image segmentation
Intelligent quranic story builder
Evolutionary multiobjective optimization for the design of fuzzy rule-based ensemble classifiers
A new hybrid fuzzy biometric-based image authentication model
Multi-Classifier Systems: Review and a roadmap for developers
Analysis indices of human relationships based on fuzzy model
On diversity and accuracy of homogeneous and heterogeneous ensembles
A hybrid model for diagnosing multiple disorders
Hybrid random subsample classifier ensemble for high dimensional data sets
Query-trail-mediated topology reconstruction for exploring performance trade-off in unstructured P2P networks
Recent advances of ML and DL approaches for Arabic handwriting recognition: A review
Role of artificial intelligence in transmission line protection: A review of three decades of research
An hybrid intelligent approach for real-time traffic control
A combination of heuristic and bacteria foraging-differential evolution algorithm for transmission network expansion planning with security constraints
Robotic eye-to-hand coordination: Implementing visual perception to object manipulation
Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA
Special Issue on Advances in Intelligent Systems
Methods of nonlinear dynamics as a hybrid tool for predictive analysis and research of risk-extreme levels
Constructing ensembles of symbolic classifiers
Pareto based hybrid Meta heuristic ABC - ACO approach for task scheduling in computational grids
A hybrid intelligent system for alarm processing in power distribution substations
Self-tuning PID controller using quantum neural network with qubit-inspired neurons
Portfolio construction using argumentation and hybrid evolutionary forecasting algorithms
Novel approaches for classification based on Cuckoo Search Strategy
Hybrid Bijective soft set - Neural network for ECG arrhythmia classification
Peak detection using peak tree approach for mass spectrometry data
Design of robust fuzzy neural network controller with reduced rule base
Novel Time Series Analysis and Prediction of Stock Trading Using Fractal Theory and Time-Delayed Neural Networks
A rapid literature review on ensemble algorithms for COVID-19 classification using image-based exams
Combination of support vector machines using genetic programming
Hybrid intelligent telemedical monitoring and predictive systems
Diagnostic method based DL approach to detect the lack of elements from the leaves of diseased plants
A study on adaptive ε-ranking and tabu moves in random one-bit climbers for many-objective optimization
Classification of cerebral palsy gait by Kernel Fisher Discriminant Analysis
BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers
A hybrid SOM-kMER model for data visualization and classification
Neuro-swarm hybridization for protein tertiary structure prediction
Hybrid plagiarism detection method for French language
Savant: Automatic generation of a parallel scheduling heuristic for map-reduce
A blockchain-based smart contracts platform to competency assessment and validation
Semantic fuzzy mining: Enhancement of process models and event logs analysis from syntactic to conceptual level
Designing fuzzy controllers for a class of MIMO systems using Hybrid Particle Swarm Optimization and Tabu Search
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data
Densely connected layer to improve VGGnet-based CRNN for Arabic handwriting text line recognition
A hybrid system for reliability centered maintenance\m{1}
An approximation method for the P-median problem: A bioinspired tabu search and variable neighborhood search partitioning approach
Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm
Modus ponens versus modus tollens associated with rough gradual decision rules induced from a decision table
Web prediction framework for college selection based on the hybrid Case Based Reasoning model and expert's knowledge
Comparison of optimization algorithms based on swarm intelligence applied to convolutional neural networks for face recognition
Evolutionary reinforcement learning of artificial neural networks
A new hybrid heuristic for driver scheduling
Document identification using shape trees
EDGE: Evolutionary Directed Graph Ensembles
Performance improvement of a genetic algorithm using a novel restart strategy with elitism principle
Edge histogram based sampling with local search for solving permutation problems
Fuzzy rule induction and artificial immune systems in female breast cancer familiarity profiling
Evolving Neural Network Ensembles by Minimization of Mutual Information
An effective template protection method for face and voice cancellable identification
Hybrid intelligent and adaptive sensor systems with improved signal integrity based on dynamically reconfigurable matched universal sensor electronics
Deep learning based Blockchain solution for preserving privacy in future vehicles
Hybrid classifiers based on semantic data subspaces for two-level text categorization
An approach to incorporate teachers' individual teaching and evaluation strategies and experience in tutoring model of an Intelligent Tutoring System
Binarization based edge detection using universal law of gravity and ant colony optimization
Special issue: Rough and Fuzzy Methods for Data Mining
HNet: A deep learning based hybrid network for speaker dependent visual speech recognition
Time series prediction using ensembles of ANFIS models with genetic optimization of interval type-2 and type-1 fuzzy integrators
Special issue on Hybrid Fuzzy Models
Plant species identification using leaf biometrics and swarm optimization: A hybrid PSO, GWO, SVM model
Intelligent GPS-based predictive engine control for a motor vehicle
Detecting Nash equilibria of strategic games by Vortex Search algorithm
A fuzzy discrete particle swarm optimization classifier for rule classification
Investigating the use of a multi-agent system for knowledge discovery in databases
A real fuel distribution problem solved by a two phase parallel algorithm that combines simulated annealing and route building heuristics
Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification
An integration of fuzzy inference systems and Genetic Algorithms for Wireless Sensor Networks
Hierarchical genetic optimization of convolutional neural models for diabetic retinopathy classification
Solving feature selection problem by hybrid binary genetic enhanced particle swarm optimization algorithm
Adaptive action-prediction cortical learning algorithm under uncertain environments
Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks
Committee machines for facial-gender recognition
Selective generation of training examples in active meta-learning
Visualization and prediction of energy consumption in smart homes
Stable rule extraction and decision making in rough non-deterministic information analysis
Multiple developing news stories identified and tracked by social insects and visualized using the new galactic streams and concurrent streams metaphors
Anterior cruciate ligament recovery monitoring system using hybrid computational intelligent techniques
Evolution of application-specific cache mappings
Using artificial immune systems for intelligent agent testing
Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy
A hybrid personal assistant based on Bayesian networks and a rule-based system inside a smartphone
Global exponential stability analysis of fuzzy BAM neural networks with time-varying delays
Recognising activities of daily living from patterns of object use
Special Issue on VIII Brazilian Symposium on Neural Networks
Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning
Neuro-Symbolic Approaches for Knowledge Representation in Expert Systems
Feature and algorithm selection with Hybrid Intelligent Techniques
Image processing and reconstruction of cultured neuron skeletons
An efficient algorithm for mining frequent maximal and closed itemsets
Combinations of case-based reasoning with other intelligent methods
Combining affective intelligence with learning to improve action selection in decision-making agents
A comparative analysis of prediction problems utilizing Interval type-2 fuzzy and machine learning models
Maximum-entropy estimated distribution model for classification problems
Hybrid intelligent system for channel allocation and packet transmission in CR-IoT networks
A crop disease severity index derived from transfer learning and feature fusion using enhanced OPTICS algorithm
Special issue: Data mining and hybrid intelligent systems
A review on applications of soft computing in design and development of intelligent autonomous robots
Conceptual modeling of Big Data extraction phase
Fuzzy-based dialectical non-supervised image classification and clustering
Analysis and improvement of the genetic discovery component of XCS
A comparative study of slope stability analysis via Geo5 using IoT framework
Semantic process mining: A conceptual application of main tools, framework and model analysis
Towards hybrid approach based SVM and Radiomics features for COVID-19 classification and segmentation
Comparative performance evaluation of global-local hybrid ensemble
Critical Instances Removal based Under-Sampling (CIRUS): A solution for class imbalance problem
A ranking-based algorithm for detection of outliers in categorical data
A novel possibilistic fuzzy leader clustering algorithm
Recentering and restarting a genetic algorithm using a generative representation for an ordered gene problem
Vector-Value Markov Decision Process for multi-objective stochastic path planning
Comparative temporal dynamics of individuation and perceptual averaging using a biological neural network model
A hybrid approach of machine learning algorithms for improving accuracy of social media crisis detection
CNN-SVM based vehicle detection for UAV platform
Evolutionary clustering of relational data
Investigation of evolutionary optimization methods of TSK fuzzy model for real estate appraisal
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition
3D navigation of CTVE and correction of MinIP methods in non-invasive diagnostic detection
A new adaptive interpolation algorithm for 3D ultrasound imaging with speckle reduction and edge preservation
A system for 3D reconstruction of comminuted tibial plafond bone fractures
Morphological and wavelet features towards sonographic thyroid nodules evaluation
Deep learning for automatic vertebra analysis: A methodological survey of recent advances
Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis
Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging
Watertight modeling and segmentation of bifurcated Coronary arteries for blood flow simulation using CT imaging
Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images
Segmentation of retinal vessels with a hysteresis binary-classification paradigm
SGRRG: Leveraging radiology scene graphs for improved and abnormality-aware radiology report generation
3D delineation of prostate, rectum and bladder on MR images
Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI
Evaluation of supervised methods for the classification of major tissues and subcortical structures in multispectral brain magnetic resonance images
Fast fully automatic heart fat segmentation in computed tomography datasets
MNT-DeepSL: Median nerve tracking from carpal tunnel ultrasound images with deep similarity learning and analysis on continuous wrist motions
Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network
Automatic point correspondence using an artificial immune system optimization technique for medical image registration
Intervertebral disc biomechanical analysis using the finite element modeling based on medical images
Prospective study of digital radiographs versus conventional screen films in Small Bowel Follow-Through examination
Joint registration and segmentation of serial lung CT images for image-guided lung cancer diagnosis and therapy
A multi-backbone cascade and morphology-aware segmentation network for complex morphological X-ray coronary artery images
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies
A dynamic tree-based registration could handle possible large deformations among MR brain images
Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN
Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors
Adaptable image cuts for motility inspection using WCE
MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion
Wasserstein-based texture analysis in radiomic studies
Primary ciliary dyskinesia assessment by means of optical flow analysis of phase-contrast microscopy images
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation
StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm
Multistage graph-based segmentation of thoracoscopic images
Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction
A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities
Experimental investigation on breast tissue classification based on statistical feature extraction of mammograms
Artery-vein segmentation in fundus images using a fully convolutional network
Region-based geometric modelling of human airways and arterial vessels
An electrostatic deformable model for medical image segmentation
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography
Real-time 3D position reconstruction of guidewire for monoplane X-ray
Straightening the path to clarity: A subpixel-level vessel segmentation framework in X-ray coronary angiography
Comparison between nuclear chromatin patterns of digitalized images of cells of the mammalian testicular and renal tissues: An imaging segmentation study
A methodology for validating a 3D imaging modality for brain AVM delineation: Application to 3DRA
An efficient method for nonnegatively constrained Total Variation-based denoising of medical images corrupted by Poisson noise
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues
D2C-Morph: Brain regional segmentation based on unsupervised registration network with similarity analysis
Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols
An automatic radiomic-based approach for disease localization: A pilot study on COVID-19
Efficient frequency-decomposed transformer via large vision model guidance for surgical image desmoking
Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data
Standardizing the use of whole slide images in digital pathology
Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels
Deep correction of breathing-related artifacts in real-time MR-thermometry
Deep learning for report generation on chest X-ray images
Automated identification of anatomical landmarks on 3D bone models reconstructed from CT scan images
Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time
The use of 3D surface fitting for robust polyp detection and classification in CT colonography
CAD in CT colonography without and with oral contrast agents: Progress and challenges
A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features
A framework for optimal kernel-based manifold embedding of medical image data
Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach
Computer-aided diagnosis for early-stage breast cancer by using Wavelet Transform
Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative)
Watershed based intelligent scissors
CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke
Automatic skin lesion classification based on mid-level feature learning
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm
sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation
Learning from crowds for automated histopathological image segmentation
Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma
Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation
Iterative mesh transformation for 3D segmentation of livers with cancers in CT images
Volume visualization using a spatially aware mobile display device
Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method
Fuzzy c-means clustering with spatial information for image segmentation
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet
Computer assistance for MR based diagnosis of breast cancer: Present and future challenges
Non-convex primal-dual algorithm for image reconstruction in spectral CT
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures