yusuke1997/dblp-id-title huggingface dataset:
Simplified stability criteria for fuzzy Markovian jumping Hopfield neural networks of neutral type with interval time-varying delays
Innovative default prediction approach
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity
Feature selection using Joint Mutual Information Maximisation
Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot
Corrigendum to "Likelihood ratio equivalence and imbalanced binary classification" [Expert Systems with Applications, Volume 130 (2019), Pages 84-96]
Gabor filter bank with deep autoencoder based face recognition system
A new paradigm based on agents applied to free-hand sketch recognition
Revolutionizing subjective assessments: A three-pronged comprehensive approach with NLP and deep learning
Secure and robust digital image watermarking scheme using logistic and RSA encryption
A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility
An improved general variable neighborhood search for a static bike-sharing rebalancing problem considering the depot inventory
Information security investment for complementary and substitutable firms: The role of technology similarity
Development of a fuzzy logic traffic system for isolated signalized intersections in the State of Kuwait
Two novel three-way decision models based on fuzzy β-covering rough sets and prospect theory under q-rung orthopair fuzzy environments
A document classification and retrieval system for R&D in semiconductor industry - A hybrid approach
Modeling the resilience for high-dimensional interdependence systems under uncertain scenarios
Applications and Research avenues for drone-based models in logistics: A classification and review
Gaining insight in domestic violence with Emergent Self Organizing Maps
A self-organising multi-agent system for decentralised forensic investigations
FuzH-PID: Highly controllable and stable DNN for COVID-19 detection via improved stochastic optimization
Enhancing structural knowledge in code smell identification: A fusion learning framework combining AST-based metrics with semantic embeddings
Modifying the one-hot encoding technique can enhance the adversarial robustness of the visual model for symbol recognition
Act-LLM: A whole-process chain for character-centric role-playing with large language models
Angiograph image restoration with the use of rule base fuzzy 2D Kalman filter
Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions
On the empirical mode decomposition applied to the analysis of brain SPECT images
Micro-expression recognition based on a novel GCN-transformer cooperation model for IoT-eHealth
A genetic encoding approach for learning methods for combining classifiers
New kiwifruit quality grading methods based on image multi-feature fusion and ResTNet model
A weakly supervised approach for recycling code recognition
A weighted string pattern matching-based passage ranking algorithm for video question answering
From historical to future scenarios: A deep learning and dynamical detection framework for compound drought and heatwave events
Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection
Multimodal transportation recommendation: Embedding travel intention and transit reliability by heterogeneous graph attention network
Marketing segmentation using support vector clustering
A multigroup fault detection and diagnosis framework for large-scale industrial systems using nonlinear multivariate analysis
Signal-aware synthesis of tissue polarization uniformity from OCT images guided by an SNR-based heuristic
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
One-pass multi-view clustering based on adaptive multiple projection regression and graph learning
Unsupervised domain adaptation via optimal prototypes transport
Identifying key rumor refuters on social media
Learning from multi-label data with interactivity constraints: An extensive experimental study
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification
Mining closed flexible patterns in time-series databases
Underwater sound classification using learning based methods: A review
Dynamic supplier selection model under two-echelon supply network
Predicting dengue outbreaks in Brazil with manifold learning on climate data
Asset selection via correlation blockmodel clustering
Energy consumption forecasting based on Elman neural networks with evolutive optimization
Learning hidden Markov models with persistent states by penalizing jumps
DFU-MambaLiteUNet: A lightweight and efficient model for diabetic foot ulcer segmentation
A dynamic time series inference learning framework for individualized prediction of mild cognitive impairment progression
Texture-embedded Generative Adversarial Nets for the synthesis of 3D pulmonary nodules computed tomography images
An ontology-based approach to role-human assignment in human processes for knowledge intensive services
Distilling object detectors with efficient logit mimicking and mask-guided feature imitation
Integrating hierarchical balanced scorecard with fuzzy linguistic for evaluating operating room performance in hospitals
A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning
Detecting near-duplicate documents using sentence-level features and supervised learning
Towards agent-based decision making in the electronic marketplace: interactive recommendation and automated negotiation
Generating structured music for bagana using quality metrics based on Markov models
A bi-population clan-based genetic algorithm for heat pipe-constrained component layout optimization
Personnel selection based on computing with words and fuzzy MULTIMOORA
Intelligent hybrid system for dark spot detection using SAR data
An approach for distributed discussion and collaborative knowledge sharing: Theoretical and empirical analysis
Spatio-temporal modeling of financial maps from a joint multidimensional scaling-geostatistical perspective
Breaking the confinement of fixed nodes: A causality-guided adaptive and interpretable graph neural network architecture
Beetle antenna strategy based grey wolf optimization
AMTrack:Transformer tracking via action information and mix-frequency features
Task-oriented safety field for robot control in human-robot collaborative assembly based on residual learning
Expert system based on the arrangement evaluation model for the arrangement design of a submarine
Pricing strategy and reserved capacity plan based on product life cycle and production function on LCD TV manufacturer
Cooperative task allocation with simultaneous arrival and resource constraint for multi-UAV using a genetic algorithm
"Taps": A trading approach based on deterministic sign patterns
A unified representation of intuitionistic fuzzy sets, hesitant fuzzy sets and generalized hesitant fuzzy sets based on their u-maps
A Multi-Objective online streaming Multi-Label feature selection using mutual information
Multi-object tracking algorithm based on interactive attention network and adaptive trajectory reconnection
Economic design of variable sampling intervals T 2 control charts using genetic algorithms
Proposing a charting recommender system for second-language nurses
Modelling and solving profit-oriented U-shaped partial disassembly line balancing problem
Knowledge graph enhanced neural collaborative recommendation
Knowledge compensation for event argument extraction via AMR-guided dynamic probability gain
A distributed decision making model for risk management of virtual enterprise
INFO: An efficient optimization algorithm based on weighted mean of vectors
A Supply Selection Method for better Feasible Solution of balanced transportation problem
3D Saltseg-CL: Unsupervised embedding characterization based multi-task dense prediction method for 3D salt bodies
Enhancing deep learning for demand forecasting to address large data gaps
STKG-TP: Depression recognition via spatial-temporal knowledge graph and trajectory-semantic cross-fusion with EEG signals
Control chart recognition based on the parallel model of CNN and LSTM with GA optimization
An integrated system for voice command recognition and emergency detection based on audio signals
A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: Simulation analysis
Business analytics in supply chains - The contingent effect of business process maturity
Automated software bug localization enabled by meta-heuristic-based convolutional neural network and improved deep neural network
A multi-rank two-dimensional CCA based on PDEs for multi-view feature extraction
Joint optimization of spare parts inventory and maintenance for wind turbine systems
Soft computing for nonlinear risk assessment of complex socio-technical systems
How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
Classification of asphyxia infant cry using hybrid speech features and deep learning models
How many reference patterns can improve profitability for real-time trading in futures market?
Preventive-maintenance policy for leased products under various maintenance costs
Neighborhood information-based probabilistic algorithm for network disintegration
TimeFormer: Transformer with attention modulation empowered by temporal characteristics for time series forecasting
Robust off-line text independent writer identification using bagged discrete cosine transform features
A modified directional distance formulation of DEA to assess bankruptcy: An application to IT/ITES companies in India
Design of artificial neural networks for distribution feeder loss analysis
An empirical knowledge management framework for professional virtual community in knowledge-intensive service industries
Enhancing secure storage and sharing of multi-image in cloud environments using a novel chaotic map
Modeling the effect of Wolbachia to control malaria transmission
Feed-forward neural network training using sparse representation
A driving-style-oriented adaptive control strategy based PSO-fuzzy expert algorithm for a plug-in hybrid electric vehicle
StructCare: Dynamic graph structure learning for enhancing context-aware healthcare
Dimensionality reduced local directional pattern (DR-LDP) for face recognition
A decentralized federated learning-based spatial-temporal model for freight traffic speed forecasting
Incorporating label dependency into the binary relevance framework for multi-label classification
Robustness of transfer learning to image degradation
A Structure-Enriched Neural Network for network embedding
An iterative fuzzy controller for pneumatic muscle driven rehabilitation robot
Designing a double auction mechanism for parallel machines scheduling with multiple consumer agents and resource agents
Improving Bag-of-Visual-Words model using visual n-grams for human action classification
DIEC-ViT: Discriminative information enhanced contrastive vision transformer for the identification of plant diseases in complex environments
An adaptive coarse-to-fine framework for automatic first article inspection of flexographic printing labels
MCTrack: Multi-cue spatio-temporal object tracking
The meta-geography of the open society: An Auto-CM ANN approach
Ontology based package design in fresh E-Commerce logistics
Textual analysis of teaching-learning evaluations in higher education: Deep learning and lexical investigation approaches
A semi-automated coding scheme for occupational injury data: An approach using Bayesian decision support system
Low-carbon economic optimization of park integrated energy system under hybrid market regulation: A multi-scenario dispatch system integrating ladder-type carbon trading and green certificate trading
Automatic diagnosis of mobile communication networks under imprecise parameters
Petroleum-contaminated groundwater remediation systems design: A data envelopment analysis based approach
Development of user-satisfaction-based knowledge management performance measurement system with evidential reasoning approach
Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction
A comprehensive model for socially responsible rehabilitation of mining sites using Q-rung orthopair fuzzy sets and combinative distance-based assessment
The lightweight CS-YOLO model applied for concrete crack segmentation
Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks
A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis
Soft-orthogonal constrained dual-stream encoder with self-supervised clustering network for brain functional connectivity data
Comprehensive wheat lodging detection after initial lodging using UAV RGB images
A multi-criteria customer allocation problem in supply chain environment: An artificial immune system with fuzzy logic controller based approach
Improving milling tool wear prediction through a hybrid NCA-SMA-GRU deep learning model
Aggressive or conservative, general or specific? A study of organizations adopting different learning strategies in an artificial world
Complex networks approach for EEG signal sleep stages classification
An adaptive multi-RRT approach for robot motion planning
Dynamic estimation of markets exhibiting a prey-predator behavior
Directed searching optimization algorithm for constrained optimization problems
An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK
Opinion mining using ensemble text hidden Markov models for text classification
Modeling, prediction and analysis of new energy vehicle sales in China using a variable-structure grey model
The adaptive algorithm of a four way intersection regulated by traffic lights with four phases within a cycle
Kappa-PSO-FAN based method for damage identification on composite structural health monitoring
Micro-electro-mechanical acoustofluidic mixing system: A response surface-metaheuristic machine learning fusion framework
A Gaussian process regression approach to predict the k -barrier coverage probability for intrusion detection in wireless sensor networks
Construction of holistic Fuzzy Cognitive Maps using ontology matching method
AnomalP: An approach for detecting anomalous protein conformations using deep autoencoders
A hybrid metaheuristic algorithm for heterogeneous vehicle routing problem with simultaneous pickup and delivery
Corrigendum "Speech detection in noisy environments by wavelet energy-based recurrent neural fuzzy network" [Experts Systems with Applications 36 (1) (2009) 321-332]
Image based computer aided diagnosis system for cancer detection
A novel dynamic progress forecasting approach for construction projects
Effective three-phase evolutionary algorithm to handle the large-scale colorful traveling salesman problem
FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier
Recurrent event-guided multimodal fusion for high dynamic range video reconstruction
A new medical decision making system: Least square support vector machine (LSSVM) with Fuzzy Weighting Pre-processing
Local search-based approach for cardinality constrained portfolio selection problem
Neural networks for animal science applications: Two case studies
Relational social recommendation: Application to the academic domain
Unified collaborative filtering model based on combination of latent features
Two novel feature selection methods based on decomposition and composition
Probabilistic adaptive learning for enhanced speech emotion recognition in the presence of noisy labels
Fuzzy case-based reasoning for coping with construction disputes
Using agents to parallelize a medical reasoning system based on ontologies and description logics as an application case
Learning and fusing the rasterized and serialized point cloud for 3D semantic segmentation in railway scenes
A novel process to determine consensus thresholds and its application in probabilistic linguistic group decision-making
A novel robust scaling image watermarking scheme based on Gaussian Mixture Model
Incremental user-interface development for interactive multiobjective optimization
Optimization of short-haul aircraft schedule recovery problems using a hybrid multiobjective genetic algorithm
eXiTCDSS: A framework for a workflow-based CBR for interventional Clinical Decision Support Systems and its application to TAVI
SSVA: Self-scanned visual attention for enhanced mask-free shadow removal
A comparative study on diabetes disease diagnosis using neural networks
Redundancy criteria for linguistic fuzzy rules
Shell fitting space for classification
Funnel graph neural networks with multi-granularity cascaded fusing for protein-protein interaction prediction
Corrigendum to "Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support" [Expert Systems with Applications 39 (12) (2012) 10693-10699]
The effects of synchronous and asynchronous steady-state auditory-visual motion on EEG characteristics in healthy young adults
Classifying defect factors in fabric production via DIFACONN-miner: A case study
Two-time-scale multi-agent systems under rotation-scale attacks: Asynchronous dynamic event-triggered consensus
Optimum coordination of overcurrent relay timing using continuous genetic algorithm
Cognition-based hierarchical en route planning for multi-agent traffic simulation
Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm
Prioritisation in the analytic hierarchy process for real and generated comparison matrices
An economic design of double sampling X charts for correlated data using genetic algorithms
Mobile context inference using two-layered Bayesian networks for smartphones
A u-map representation of general type-2 fuzzy sets via concepts from activation detection: Application to constructing type-2 fuzzy set measures
Randomization in particle swarm optimization for global search ability
TREPPS: A Trust-based Recommender System for Peer Production Services
Causality measures and analysis: A rough set framework
Application of Wigner-Ville distribution and probability neural network for scooter engine fault diagnosis
Multi-scale deep multi-view subspace clustering with self-weighting fusion and structure preserving
Multi-view gait recognition system using spatio-temporal features and deep learning
QFD-based expert system for non-traditional machining processes selection
Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems
A knowledge-based multi-layered image annotation system
New fusion frameworks including explicit weighting functions for the remaining useful life prognostics
Heuristics for the Profitable Close-Enough Arc Routing Problem
A wavelet and teager energy operator based method for automatic detection of K-Complex in sleep EEG
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
Optimizing residential energy management using an autonomous scheduler system
A fuzzy multicriteria group decision approach for classification of failure modes in a hospital's operating room
Predicting bond ratings using publicly available information
Intelligent coal gangue identification: A novel amplitude frequency sensitive neural network
Monitoring the service-based system lifecycle with SALMon
Machine learning in business process management: A systematic literature review
Hybrid curriculum and transfer learning method for cross-subject motor imagery recognition
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network
Novel multiclass classification for home-based diagnosis of sleep apnea hypopnea syndrome
Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood
Enriched LDA (ELDA): Combination of latent Dirichlet allocation with word co-occurrence analysis for aspect extraction
Artificial neural network vs. nonlinear regression for gold content estimation in pyrometallurgy
A multi-model approach for long-term runoff modeling using rainfall forecasts
An efficient composition of Web services with active network support
Application of multilayer perceptron and radial basis function neural networks in differentiating between chronic obstructive pulmonary and congestive heart failure diseases
Joint sparse subspace clustering via fast ℓ2,0-norm constrained optimization
ForestBerryNet: a dual-backbone architecture with hierarchical attention fusion for efficient forest berry detection
Robust optimization of bi-objective operating room scheduling considering anesthesiologist and patient satisfaction
Exceedance probability estimation for a quality test consisting of multiple measurements
Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data
Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering
An in-process customer utility prediction system for product conceptualisation
A multiple fuzzy inference systems framework for daily stock trading with application to NASDAQ stock exchange
Diversity of quantum optimizations for training adaptive support vector regression and its prediction applications
Novel distributed load balancing algorithms in cloud storage
EEG-based person identification through Binary Flower Pollination Algorithm
Dynamic distributed flexible job-shop scheduling problem considering operation inspection
Discriminative globality and locality preserving graph embedding for dimensionality reduction
Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis
Reliability allocation method combined with real working conditions under rough probabilistic linguistic environment
On the combination of graph data for assessing thin-file borrowers' creditworthiness
Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models
Cell cycle phase detection with cell deformation analysis
A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories
Mutual funds performance evaluation based on endogenous benchmarks
Comparing the performance of traditional cluster analysis, self-organizing maps and fuzzy C-means method for strategic grouping
Mapping multi-spectral remote sensing images using rule extraction approach
An effective discrete artificial bee colony algorithm for multi-AGVs dispatching problem in a matrix manufacturing workshop
Interpretable regression trees using conformal prediction
Unveiling the intrinsic interactions of science and technology in the fuzzy domain: A visual and quantitative analysis
Creating large scale probabilistic boundaries using Gaussian Processes
Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach
Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods
A numerical comparison between simulated annealing and evolutionary approaches to the cell formation problem
Genetic optimization of order scheduling with multiple uncertainties
Forecasting changes in Korea Composite Stock Price Index (KOSPI) using association rules
A simple method for recommending specialized specifications for diabetes monitoring