yusuke1997/dblp-id-title huggingface dataset:
Dynamic stereoscopic selective visual attention (DSSVA): Integrating motion and shape with depth in video segmentation
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks
Classifying longevity profiles through longitudinal data mining
An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images
Social change, institutional pressures and knowledge creation: A bibliometric analysis
A Q-learning agent for automated trading in equity stock markets
A fast perturbation algorithm using tree structure for privacy preserving utility mining
Economic design of variable sampling interval T
A Mayfly algorithm for cardinality constrained portfolio optimization
A systematic review on media bias detection: What is media bias, how it is expressed, and how to detect it
Small-layered Feed-Forward and Convolutional neural networks for efficient P wave earthquake detection
A novel semi-supervised framework for call center agent malpractice detection via neural feature learning
Formulation of customers' shopping path in shelf space planning: A simulation-optimization approach
MR and stacked GRUs neural network combined model and its application for deformation prediction of concrete dam
Investigation and improvement of multi-layer perception neural networks for credit scoring
Computational Intelligence and Financial Markets: A Survey and Future Directions
A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection
On time demand traffic estimation based on DBN with Horse herd optimization for next generation wireless network
Probabilistic based recursive model for adaptive processing of data structures
Tag-Enhanced Dynamic Compositional Neural Network over arbitrary tree structure for sentence representation
Enhancing diabetic retinopathy detection through preprocessing and feature extraction with MGA-CSG algorithm
Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables
Harmonics and intermodulation products-based fuzzy logic (HIPBFL) algorithm for vital sign frequency estimation using a UWB radar
Hand image recognition by the techniques of hand shape scaling and image weight scaling
Estimation of California bearing ratio by using soft computing systems
A method based on the Levenshtein distance metric for the comparison of multiple movement patterns described by matrix sequences of different length
A new method for mining Frequent Weighted Itemsets based on WIT-trees
GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization
An interval weighed fuzzy c-means clustering by genetically guided alternating optimization
Matching of manual operation trajectories and warehouse operation information: A data chain Construction method based on indoor positioning technology
A probabilistic linguistic evaluation-based multi-stage medical scheme selection process related to referral system
A label information vector generative zero-shot model for the diagnosis of compound faults
Multi-source information fusion attention network for weakly supervised salient object detection in optical remote sensing images
Automatic generation of concept hierarchies using WordNet
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time
Implementing a fuzzy inference system in a multi-objective EEG channel selection model for imagined speech classification
ABAC: Alternative by alternative comparison based multi-criteria decision making method
A neutral cross efficiency approach for basic two stage production systems
Reinforcement learning based local search for grouping problems: A case study on graph coloring
A priority-guided contrastive network for delineating vascular layers in arterial ultrasound
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Admission control schemes for proportional differentiated services enabled internet servers using machine learning techniques
Preprocessing and analysis of ECG signals - A self-organizing maps approach
Selection of mobile value-added services for system operators using fuzzy synthetic evaluation
GF-DBiNN: Gated fusion-based deep bi-channel neural network for industrial soft sensor modeling
Detection of intra-family coronavirus genome sequences through graphical representation and artificial neural network
Fire images classification based on a handcraft approach
Random subspace and random projection nearest neighbor ensembles for high dimensional data
Direct relation detection for knowledge-based question answering
A comparison of risk measures for portfolio optimization with cardinality constraints
An expert system for automated recognition of patients with obstructive sleep apnea using electrocardiogram recordings
Detecting malicious tweets in trending topics using a statistical analysis of language
Comparison of two problem transformation-based methods in detecting the best performing branch-and-bound procedures for the RCPSP
Batch-adaptive rejection threshold estimation with application to OCR post-processing
Preliminary exploration of topic modelling representations for Electronic Health Records coding according to the International Classification of Diseases in Spanish
Machine Learning based Intelligent System for Breast Cancer Prediction (MLISBCP)
A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map
A novel hybrid deep fuzzy model based on gradient descent algorithm with application to time series forecasting
Controlling arrival and service of a two-removable-server system using genetic algorithm
Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic
Multi-obstacle path planning and optimization for mobile robot
Multi-algorithm based evolutionary strategy with Adaptive Mutation Mechanism for Constraint Engineering Design Problems
Quantum computing: Impact on energy efficiency and sustainability
Multi-objective test case prioritization based on an improved MOEA/D algorithm
A majority-density approach to developing testing and diagnostic systems with the cooperation of multiple experts based on an enhanced concept-effect relationship model
Extraction and evaluation of formulaic expressions used in scholarly papers
A classification of countries and regions by degree of the spread of coronavirus based on statistical criteria
Design of self-tuning fuzzy sliding mode control for TORA system
Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis
Residual Vector Product Quantization for approximate nearest neighbor search
A systematic review of the interactions of fuzzy set theory and option pricing
An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM
Aspect-based sentiment analysis via bidirectional variant spiking neural P systems
A modular Decision Support System for optimum investment selection in presence of uncertainty: Combination of fuzzy mathematical programming and fuzzy rule based system
Applying variable precision rough set model for clustering student suffering study's anxiety
Priority individual identification for vaccination promotion through evolutionary game of mixed populations
Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map
A multi-disciplinar recommender system to advice research resources in University Digital Libraries
Agent and data mining based decision support system and its adaptation to a new customer-centric electronic commerce
Item recommendation by predicting bipartite network embedding of user preference
Few-shot class-incremental audio classification via discriminative prototype learning
Knowledge-based data mining of news information on the Internet using cognitive maps and neural networks
Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning
NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies
Pre-determination of OSA degree using morphological features of the ECG signal
Adaptive soft contrastive with mutual information for biological time series representation learning
An efficient LightGBM-based differential evolution method for nonlinear inelastic truss optimization
RDF M : An alternative approach for representing, storing, and maintaining meta-knowledge in web of data
Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach
New best solutions to VRPSPD benchmark problems by a perturbation based algorithm
VisioSignNet: A Dual-Interactive Neural Network for enhanced traffic sign detection
Location and time embedded feature representation for spatiotemporal traffic prediction
A fuzzy c-means clustering-based fragile watermarking scheme for image authentication
The combined model of influencing on-line consumer behavior
Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing
A coevolutionary estimation of distribution algorithm based on dynamic differential grouping for mixed-variable optimization problems
Coding algorithm for grayscale images based on Linear Prediction and dual mode quantization
CASTLE: Context-Aware semantic transformer with knowledge graph enhancement for low-resource grammar correction
An adaptive and innovative question-driven competition-based intelligent tutoring system for learning
Precision refined: Integrating micromachining constraints for enhanced product accuracy through topology optimization
Embedded feature selection accounting for unknown data heterogeneity
On the estimation of the core for TU games
DB-FCN: An end-to-end dual-branch fully convolutional nucleus detection model
A new adaptive membership function with CUB uncertainty with application to cluster analysis of Likert-type data
Rootex 2.0: Multi-head deep learning and graph-based analysis for automated barley root phenotyping
Model-free stabilization via Extremum Seeking using a cost neural estimator
A novel modified fuzzy best-worst multi-criteria decision-making method
Semi-automatic generation of multilingual datasets for stance detection in Twitter
Shareholder value creation on deregulated transportation sector: Focus on North American railway freight
Fuzzy data envelopment analysis based upon fuzzy arithmetic with an application to performance assessment of manufacturing enterprises
A bipolar consensus approach for group decision making problems
A novel multi-threshold segmentation approach based on differential evolution optimization
Evolving linear transformations with a rotation-angles/scaling representation
A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection
M2Metaphor: leveraging multi-modal fusion and hierarchical contrastive learning for metaphoric insights
Non-identical parallel machine scheduling using genetic algorithm
A Boolean function approach to feature selection in consistent decision information systems
A new Expert System for greenness identification in agricultural images
Reinforcement learning guided auto-select optimization algorithm for feature selection
Hybridizing VNS and path-relinking on a particle swarm framework to minimize total flowtime
Adaptive output feedback tracking control of robot manipulators using position measurements only
Discretization and fitting of nominal data for autonomous robots
A fuzzy assessment framework to select among transportation investment projects in Turkey
A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour Method
Social network-based consensus reaching model with rational adjustment allocation for large-scale group decision making
Learning path personalization and recommendation methods: A survey of the state-of-the-art
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
An incremental mining algorithm for maintaining sequential patterns using pre-large sequences
Wind farm site selection using geographic information system and fuzzy decision making model
The blocking flow shop scheduling problem: A comprehensive and conceptual review
Recommendation systems to promote behavior change in patients with diabetes mellitus type 2: A systematic review
Improving contrastive learning with explanation method for sequential recommendation
A novel optimization method for harmonic stability assessment in the grid-connected multi-parallel inverter renewable energy system
Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons
Modified recurrent neuro-fuzzy network for modeling ball-screw servomechanism by using Chebyshev polynomial
Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms
Effect of number of features on classification of roller bearing faults using SVM and PSVM
Using function-based patent analysis to identify potential application areas of technology for technology transfer
Personalized recommendation by matrix co-factorization with tags and time information
A consensus graph clustering algorithm for directed networks
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin
Economic emission dispatch of power systems considering solar uncertainty with extended multi-objective differential evolution
A predictive energy-aware scheduling strategy for scientific workflows in fog computing
The confounding role of common diabetes medications in developing acute renal failure: A data mining approach with emphasis on drug-drug interactions
Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards
Prediction of gait speed from plantar pressure using artificial neural networks
Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree
Adaptive skip-review attention-based networks for intracranial aneurysm segmentation from three-dimensional rotational angiography
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection
A Multi-strategy Region Proposal Network
Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression
A knowledge and data augmentation-based method for combustion state recognition in cogeneration systems
Extracting optimal fuel cell parameters using dynamic Fick's Law algorithm with cooperative learning strategy and k-means clustering
Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller
An overlap-sensitive margin classifier for imbalanced and overlapping data
Time-frequency distributions in the classification of epilepsy from EEG signals
A flexible agent system for change adaptation in supply chains
A hybrid knowledge-sharing model for corporate foreign investment in China's construction market
Weighted quantile regression via support vector machine
Identifying influential nodes through an improved k-shell iteration factor model
Physically informed multivariate prediction of structural joint deformation in CFRDs: A fusion approach with interpretable decomposition and hybrid machine learning
Occluded person re-identification with deep learning: A survey and perspectives
Comprehensive analysis of change-point dynamics detection in time series data: A review
On the practicalities of place-based virtual communities: Ontology-based querying, application architecture, and performance
Fuzzy logic approach to conventional rubble mound structures design
Exploiting robust quadratic polynomial hyperchaotic map and pixel fusion strategy for efficient image encryption
An effective hybrid EDA-based algorithm for solving multidimensional knapsack problem
A new local search algorithm with greedy crossover restart for the dominating tree problem
Single-pass incremental and interactive mining for weighted frequent patterns
A local dimming method based on improved multi-objective evolutionary algorithm
Forecasting foreign exchange rates using kernel methods
An improved DenseNet model for prediction of stock market using stock technical indicators
A path-based relation networks model for knowledge graph completion
Applying the concept of self-play with temporal delay to generate robust and resilient perceptual-hash for color images
Visual enhancement of underwater images using Empirical Mode Decomposition
A particle swarm optimization approach to nonlinear rational filter modeling
Predicting cross-domain collaboration using multi-task learning
Sustainability-aware collaborative service composition and recommendation based on multi-attribute correlations
Feature-driven hybrid attention learning for accurate water quality prediction
Self-supervised commonsense knowledge learning for document-level relation extraction
Image-based down cluster ratio prediction for quality grading of down content
Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117]
Model predictive control of port-city scenarios based on traffic simulation and efficient sampling design
Development of a Boundary Assigned Animal Migration Optimization algorithm and its application to optimal power flow study
A context-aware web-mapping system for group-targeted offers using semantic technologies
A fuzzy linguistic ontology payoff method for aerospace real options valuation
A reinforcement learning based artificial bee colony algorithm with application in robot path planning
Corrigendum to 'A note on "Intra-supply chain system with multiple sales locations and quality assurance"' [Experts Systems with Applications 40 (11) (2013) 4730-4732]
Use of a domain-specific ontology to support automated document categorization at the concept level: Method development and evaluation
Large language models as virtual experts? Evaluating AHP-based criteria weighting performance for solar power plant site selection
Fuzzy clustering enhanced competitive swarm optimizer for balancing convergence and diversity in large-scale multiobjective optimization
EEG-based motor imagery classification with quantum algorithms
Short-term air quality prediction using a multi-scale attention fusion model with 3DIGAT-CBAM-BiLSTM based on spatio-temporal correlation
A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means
Performance analysis of fingerprinting indoor positioning methods with BLE
The Time-dependent Electric Vehicle Routing Problem: Model and solution
Financial ratings with scarce information: A neural network approach
Triangular intuitionistic fuzzy number based backorder and lost sale in production, remanufacturing and inspection process
A multi-domain feature-based epileptic seizure prediction method using EEG source estimation and graph theory
Trading rule discovery in the US stock market: An empirical study
Automatic detection of surface defects based on deep random chains
A ternary-frequency cryptocurrency price prediction scheme by ensemble of clustering and reconstructing intrinsic mode functions based on CEEMDAN
Capturing scholar's knowledge from heterogeneous resources for profiling in recommender systems
Feature-based opinion mining through ontologies
Expert systems: Definitions, advantages and issues in medical field applications
A network-based feature extraction model for imbalanced text data
Mining anomalous events against frequent sequences in surveillance videos from commercial environments
Mixed neighborhood topology cross decoded patterns for image-based face recognition
SKU demand forecasting in the presence of promotions
A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes
Multimodal depression recognition based on gait and rating scale
A class possibility based kernel to increase classification accuracy for small data sets using support vector machines
A multi-objective optimization approach for the group formation problem
Optimizing retailer prepayment installment in inventory systems with link-to-order discounts and power demand patterns of price and time: An effective decision support framework
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection
An efficient brain tumor segmentation based on cellular automata and improved tumor-cut algorithm
Comparing performances of backpropagation and genetic algorithms in the data classification
Novel asymmetric CNN-based and adaptive mean predictors for reversible data hiding in encrypted images
Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI
Empirical mode decomposition and Hilbert-Huang transform-based eccentricity fault detection and classification with demagnetization in 120 kW interior permanent magnet synchronous motors
Ant colony input parameters optimization for multiuser detection in DS/CDMA systems
View-interactive attention information alignment-guided fusion for incomplete multi-view clustering
An interpretable dynamic evaluation framework fusing multi-dimensional data for assessing the operational safety of concrete dams
Improved variable and value ranking techniques for mining categorical traffic accident data
Multi-view similarity aggregation and multi-level gap optimization for unsupervised person re-identification
A knowledge based real-time travel time prediction system for urban network
Application of feedforward neural network in the study of dissociated gas flow along the porous wall
An attentive and adaptive 3D CNN for automatic pulmonary nodule detection in CT image
Multivariate measurement system analysis in multisite testing: An online technique using principal component analysis
Reliability analysis of concrete gravity dams based on the Bayesian line sampling algorithm and global sensitivity analysis method
Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals
ESDTW: Extrema-based shape dynamic time warping
Wafer map failure pattern recognition based on deep convolutional neural network
BERT-based response selection in dialogue systems using utterance attention mechanisms
A modern neural network model to do stock market timing on the basis of the ancient investment technique of Japanese Candlestick
Online metaheuristic algorithm selection
An improved particle filter for mobile robot localization based on particle swarm optimization
Cost-sharing contract design between manufacturer and dealership considering the customer low-carbon preferences
An expert system approach to improving stability and reliability of web service
A novel MICMAC approach for cross impact analysis with application to urban water/wastewater management
PCBSegClassNet - A light-weight network for segmentation and classification of PCB component
PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites
Comparative leakage field analysis of electromagnetic devices using finite element and fuzzy methods
Feature representation selection based on Classifier Projection Space and Oracle analysis
A hybrid algorithm on the vessel routing optimization for marine debris collection
Chimp optimization algorithm
Discovering mathematical formulas from data via GPT-guided Monte Carlo Tree Search
Automatic recognition of epileptic EEG patterns via Extreme Learning Machine and multiresolution feature extraction
Recommendation feedback-based dynamic adaptive training for efficient social item recommendation
KAAPRO: An approach of protein secondary structure prediction based on KDD* in the compound pyramid prediction model
APL: Adversarial Pairwise Learning for Recommender Systems