yusuke1997/dblp-id-title huggingface dataset:
An efficient genetic algorithm for large-scale planning of dense and robust industrial wireless networks
An ontology-driven decision support system for high-performance and cost-optimized design of complex railway portal frames
International distribution center selection from a foreign market perspective using a weighted fuzzy factor rating system
Mathematical modeling and optimizing of yard layout in automated container terminals
Data mining applied to the cognitive rehabilitation of patients with acquired brain injury
Adopting machine learning and condition monitoring P-F curves in determining and prioritizing high-value assets for life extension
Quadruple parameter adaptation growth optimizer with integrated distribution, confrontation, and balance features for optimization
What makes classification trees comprehensible?
Positive and negative association rule mining on XML data streams in database as a service concept
Regression via Classification applied on software defect estimation
McVCsB: A new hybrid deep learning network for stock index prediction
On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks
A personalized active learning strategy with enhanced user satisfaction for recommender systems
A web-service agent-based decision support system for securities exception management
A core-based quota allocation model for the Bitcoin-refunded Blockchain network
Estimation of global solar radiation using ANN over Turkey
Rough set and scatter search metaheuristic based feature selection for credit scoring
VSGNet: visual saliency guided network for skin lesion segmentation
Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
Spiking neural P grey wolf optimization system: Novel strategies for solving non-determinism problems
Optimization-based automated unsupervised classification method: A novel approach
Knowledge graph-based recommendation method for cold chain logistics
Industrial network intrusion detection using a multilayer perceptron: Experimental evaluation on the tennessee eastman process
Integrated truck drone delivery services with an optimal charging stations
Temporal Bayesian Knowledge Bases - Reasoning about uncertainty with temporal constraints
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection
SDAI: An integral evaluation methodology for content-based spam filtering models
OptionStream: An automated system for tracking derivative effects on equity prices
LLMQR: efficient knowledge distillation for questionnaire recommendation via large language models
DMSeqNet-mBART: A state-of-the-art Adaptive-DropMessage enhanced mBART architecture for superior Chinese short news text summarization
MIAF-Net: Multiscale interactive attention fusion network for hyperspectral image classification
Safe online optimization of motor speed synchronization control with incremental Q-learning
Carbon emission quota allocation for 280 Chinese cities: Integrating machine learning and DEA with regional heterogeneity
Semantically enhanced selective image encryption scheme with parallel computing
Retail store-SKU level replenishment planning with attribute-space graph recurrent neural networks
AHDPC: Adaptively hyperbolic density peak clustering
An artificial neural network tool to support the decision making of designers for environmentally conscious product development
A multilevel and multistage efficiency evaluation of innovation systems: A multiobjective DEA approach
Evolutionary algorithms based design of multivariable PID controller
Enhancing a Pairs Trading strategy with the application of Machine Learning
Combining models from neural networks and inductive learning algorithms
A fuzzy diagnosis and advice system for optimization of emissions and fuel consumption
Hybrid genetic algorithms and support vector machines for bankruptcy prediction
Enhancing evolutionary multitask optimization by multidimensional scaling and golden section search
Intelligent detection of unstable power swing for correct distance relay operation using S-transform and neural networks
Frame-level nonverbal feature enhancement based sentiment analysis
Gender recognition using motion data from multiple smart devices
Fuzzy ensemble of deep learning models using choquet fuzzy integral, coalition game and information theory for breast cancer histology classification
A machine learning algorithm for stock picking built on information based outliers
FGRC-Net: A high-information interactive convolutional neural network for identifying ink spectral information
Mining globally interesting patterns from multiple databases using kernel estimation
The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm
Adaptive learning algorithm of self-organizing teams
RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
C3R: Category contrastive adaptation and consistency regularization for cross-modality medical image segmentation
A review of computational methods applied for identification and quantification of atherosclerotic plaques in images
Predicting the direction of financial dollarization movement with genetic algorithm and machine learning algorithms: The case of Turkey
ERT-EDR: Online defense framework for TCP-targeted LDoS attacks in SDN
An algorithm portfolio based solution methodology to solve a supply chain optimization problem
Identifying web sessions with simulated annealing
On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems
Application of non-Gaussian feature enhancement extraction in gated recurrent neural network for fault detection in batch production processes
SPC forecasting system to mitigate the bullwhip effect and inventory variance in supply chains
Leave-one-out manifold regularization
AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection
Parkinson's disease effective biomarkers based on Hjorth features improved by machine learning
Many-objective multi-tasking optimization using adaptive differential evolutionary and reference-point based nondominated sorting
Texture analysis of masses malignant in mammograms images using a combined approach of diversity index and local binary patterns distribution
The analytic network process for managing inter-enterprise collaboration: A case study in a collaborative enterprise network
The evaluation of cluster policy by fuzzy MCDM: Empirical evidence from HsinChu Science Park
FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity
GS-YOLO: A lightweight and high-performance method for PCB surface defect detection
On coordination under random yield and random demand
Fast incremental learning of logistic model tree using least angle regression
Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection
Representation Auto-fused NMF based Hierarchical Clustering
Web-service-agents-based family wealth management system
Optimal beacon scheduling mechanisms using cluster identifier for healthcare application
Integration of renewable energy sources in smart grids by means of evolutionary optimization algorithms
Position paper: Benchmarking the performance of global and emerging knowledge cities
A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet
Reactive power and voltage control based on general quantum genetic algorithms
Accurate continual nuclei detection by deciphering unlabeled images and renewing class knowledge
Numerical weather prediction revisions using the locally trained differential polynomial network
A discordance analysis in manual labelling of urban mobile laser scanning data used for deep learning based semantic segmentation
Integrating business impact analysis and risk assessment for physical asset criticality analysis: A framework for sustainable operations in process industries
Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators
Comparison of clustering algorithms for analog modulation classification
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features
Fuzzy prediction of the mine's ventilation structure's tunnel air volume
A knowledge-based approach to hierarchical classification: A voting metaphor
Human mobility forecasting with region-based flows and geotagged Twitter data
An agent-based infrastructure for assessing the performance of planning approaches for semiconductor supply chains
A new PC-PSO algorithm for Bayesian network structure learning with structure priors
Heterogeneous multi-attribute group decision making based on a fuzzy data envelopment analysis cross-efficiency model
A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states
First-level hypergame for investigating two decision-maker conflicts with unknown misperceptions of preferences within the framework of GMCR
A process-oriented ontology-based knowledge management system for facilitating operational procedures in public administration
Leveraging model explainability and fine-grained cutmix augmentation for robust detection of apricot diseases in UAV images
Physics constrained pedestrian trajectory prediction with probability quantification
An optimization-based selection approach of landing sites for swarm unmanned aerial vehicles in unknown environments
Intelligent terminal SMC for non-linear chemotherapy using Markovian-based deep on-policy learning
AMSA-CAFF Net: Counting and high-quality density map estimation from X-ray images of electronic components
Dual-task hierarchical feature refinement and fusion network for precise segmentation of surgical tools and polyps in endoscopy
A new approach of inventory classification based on loss profit
Automatic fish weight estimation and 3D surface reconstruction with a lightweight instance segmentation model
Adaptive neuro-fuzzy inference system for combined forecasts in a panel manufacturer
A modified ID3 decision tree algorithm based on cumulative residual entropy
Multi-supervisor association network cold start recommendation based on meta-learning
XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data
An effectiveness evaluation model for the web-based marketing of the airline industry
Near miss prediction in commercial aviation through a combined model of grey neural network
Neural identification of Type 1 Diabetes Mellitus for care and forecasting of risk events
Multiple kernel-based fuzzy system for identifying enhancers
Scheduling of stochastic distributed hybrid flow-shop by hybrid estimation of distribution algorithm and proximal policy optimization
A robust hyperchaotic system-controlled color image encryption with triangular fractals and alternating channel vectors
Hesitant fuzzy QUALIFLEX approach with a signed distance-based comparison method for multiple criteria decision analysis
Explainable fraud detection of financial statement data driven by two-layer knowledge graph
The correct solution procedure on the replenishment run time problem with machine breakdown and failure in rework for supply chain management
Rule-based modeling and constraint programming based solution of the assembly line balancing problem
Guided deterministic policy optimization with gradient-free policy parameters information
An agent-based model for consumer-to-business electronic commerce
Context-aware mobile service for routing the fastest subway path
Weighted Modular Image Principal Component Analysis for face recognition
Support group formation for users with depression in social networks
LLM-Guided risk-sensitive reinforcement learning for smart factories in the scenario of human-robot symbiosis
Minimizer of the Reconstruction Error for multi-class document categorization
Phishing websites detection using a novel multipurpose dataset and web technologies features
Market manipulation detection: A systematic literature review
Motor-intent decoding from synthetic EEG data using denoising diffusion probabilistic models
Time series prediction with input noise based on the ESN and the EM and its industrial applications
A clustering based system for instant detection of cardiac abnormalities from compressed ECG
HMRM: Hierarchy-aware Misclassification Risk Minimization for few-shot learning
Multi-objective optimization design of sustainable biofuel network with integrated fuzzy analytic hierarchy process
Representation-centric approach for classification of Consumer Health Questions
Surveying stock market forecasting techniques - Part II: Soft computing methods
An efficient motion visual learning method for video action recognition
Quantum mechanics-based missing value estimation framework for industrial data
Progressive semantic aggregation and structured cognitive enhancement for image-text matching
A novel associative memory approach to speech enhancement in a vehicular environment
A fuzzy hierarchy integral analytic expert decision process in evaluating foreign investment entry mode selection for Taiwanese bio-tech firms
An automatic retinal vessel segmentation approach based on Convolutional Neural Networks
Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis
A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis
Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium
AppPoet: Large language model based android malware detection via multi-view prompt engineering
Agent-based game-theoretic model for collaborative web services: Decision making analysis
LRMM: Low rank multi-scale multi-modal fusion for person re-identification based on RGB-NI-TI
A structured approach for the designing of safe AAL applications
Text-independent speaker verification using ant colony optimization-based selected features
Listed companies' financial distress prediction based on weighted majority voting combination of multiple classifiers
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification
The user-knowledge crowdsourcing task allocation integrated decision model and genetic matrix factorization algorithm
Segmentation, fusion, and representation: A novel approach to multi-label classification for long texts
An ontology-based intelligent system for recruitment
Optimizing truck sequencing and truck dock assignment in a cross docking system
Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction
MIGAN: GAN for facilitating malware image synthesis with improved malware classification on novel dataset
Image super-resolution based on adaptive cascading attention network
A comparative study of optimization algorithms for low NOx combustion modification at a coal-fired utility boiler
An MDA approach to knowledge engineering
Argument-based mixed recommenders and their application to movie suggestion
A parallel hybrid neural networks model for forecasting returns with candlestick technical trading strategy
A two-stage deep neural network for multi-norm license plate detection and recognition
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
An SEM-artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline
A filtering genetic programming framework for stochastic resource constrained multi-project scheduling problem under new project insertions
Wind turbine selection for wind farm layout using multi-objective evolutionary algorithms
Learning discriminant functions with fuzzy attributes for classification using genetic programming
Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space
Fuzzy rule-based neural appointed-time control for uncertain nonlinear systems with aperiodic samplings
Quantization-aware distributed deep reinforcement learning for dynamic multi-robot scheduling
Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists
Intelligent Computational Techniques in Science, Engineering and Business
A physics-informed Run-to-Run control framework for semiconductor manufacturing
DECAF : Deep Case-based Policy Inference for knowledge transfer in Reinforcement Learning
A method to find the unique optimal fuzzy value of fully fuzzy linear programming problems with inequality constraints having unrestricted L-R fuzzy parameters and decision variables
A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry
Customer pattern search for after-sales service in manufacturing
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment
Defining quality metrics for graph clustering evaluation
A probabilistic hesitant fuzzy Choquet integral-based TODIM method for multi-attribute group decision-making
A conceptual representation of documents and queries for information retrieval systems by using light ontologies
SUFMACS: A machine learning-based robust image segmentation framework for COVID-19 radiological image interpretation
A graph structure feature-based framework for the pattern recognition of the operational states of integrated energy systems
Adaptive neuro-fuzzy wheel slip control
Workload modeling for virtual machine-hosted application
Convolutional neural network-long short term memory optimization for accurate prediction of airflow in a ventilation system
Harshness-aware sentiment mining framework for product review
NEclatClosed: A vertical algorithm for mining frequent closed itemsets
Toward developing and using Web-based tele-diagnosis in aquaculture
A new method to find neighbor users that improves the performance of Collaborative Filtering
Assessment of catastrophic forgetting in continual credit card fraud detection
A rule-based CBR approach for expert finding and problem diagnosis
An integrated approach to Bayesian weight regulations and multitasking learning methods for generating emotion-based content in the metaverse
A novel hybrid fusion algorithm to bridge the period of GPS outages using low-cost INS
Reward-guided direct preference optimization
CurlObserver: A framework for curling trajectory detection and real-world mapping from broadcast videos with uncalibrated dynamic perspectives
PVMNet: A navel orange defect detection algorithm based on Mamba structure
A lightweight hierarchical aggregation task alignment network for industrial surface defect detection
Pose focus transformer meet inter-part relation
Multi-view neutrosophic c-means clustering algorithms
Fast blocking of undesirable web pages on client PC by discriminating URL using neural networks
Identifying mortality factors from Machine Learning using Shapley values - a case of COVID19
A novel associative classification model based on a fuzzy frequent pattern mining algorithm
Generalizable deepfake detection framework using hybrid convolution-based EfficientNetB7 with attention mechanism
Combination of fuzzy and cognitive theories for adaptive e-assessment
Multisource data fusion for single-well production rate prediction
Tri-Modal grouping fusion network with optimal transport learning for unaligned multimodal sentiment analysis
Q-fractional fuzzy influence pair domination number to locate and control smog area
Vertical bagging decision trees model for credit scoring
Multi-period portfolio selection using kernel-based control policy with dimensionality reduction
A model for sector restructuring through genetic algorithm and inverse DEA
Decision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach
A comprehensive adaptive system for e-learning of foreign languages
An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization
Item Attribute-aware Graph Collaborative Filtering
Evaluation of carsharing network's growth strategies through discrete event simulation
Class-incremental learning with causal relational replay
A hybrid ant colony, Markov chain, and experimental design approach for statistically constrained economic design of MEWMA control charts
Enhancing gastrointestinal submucosal tumor recognition in endoscopic ultrasonography: A novel multi-attribute guided contextual attention network
SCFNet: Semantic correction and focus network for remote sensing image object detection
FocalNeXt: A ConvNeXt augmented FocalNet architecture for lung cancer classification from CT-scan images
A semi-automated hybrid schema matching framework for vegetation data integration
Deep reinforcement learning for cooperative robots based on adaptive sentiment feedback
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models
A continuous-state cellular automata algorithm for global optimization
MSHF: Multi-sensor hierarchical fusion for UGV localization in unstructured environment
Path planning of a 6-DOF measuring robot with a direction guidance RRT method
Reinforcement learning-based saturated adaptive robust neural-network control of underactuated autonomous underwater vehicles
Multi-objective flexibility-complexity trade-off problem in batch production systems using fuzzy goal programming
Sparse low-rank retargeted stochastic configuration networks for multiclass classification
Joint congestion control and processor allocation for task scheduling in grid over OBS networks
New robust and efficient ant colony algorithms: Using new interpretation of local updating process
A Weakly supervised approach for thoracic diseases detection
Reliability-based multi-attribute large group decision making under probabilistic linguistic environment
Optimal margin distribution matrix machine
A large-scale consensus model to manage non-cooperative behaviors in group decision making: A perspective based on historical data
Contextualized mobile recommendation service based on interactive social network discovered from mobile users
A study on process evaluation and selection model for business process management
A comparative analysis of government intervention under the EPR system: Eco-design and authorized remanufacturing
Noise adaptive filtering model integrating spatio-temporal feature for soft sensor
A dynamic predictor selection algorithm for predicting stock market movement
Algorithmic Trading: The Intelligent Trading Systems and Its Impact on Trade Size
Heuristic approaches to address vehicle routing problem in the Iot-based waste management system
Segmentation and characterization of acoustic event spectrograms using singular value decomposition
Novel feature selection methods to financial distress prediction
Bi-objective optimization research on integrated fixed time interval preventive maintenance and production for scheduling flexible job-shop problem
Valuation by using a fuzzy discounted cash flow model
Data mining approach for supply unbalance detection in induction motor
An intelligent XML-based multidimensional data cube exchange
Estimation of hypersonic vehicle weight using Physics-Informed neural network supported by knowledge based engineering
The hybrid forecasting model based on chaotic mapping, genetic algorithm and support vector machine
Medical augment reality using a markerless registration framework
Determination of cross-efficiency under the principle of rank priority in cross-evaluation