yusuke1997/dblp-id-title huggingface dataset:
Optimal β k -stable interval in VPRS-based group decision-making: A further application
A novel Deep Reinforcement Learning based automated stock trading system using cascaded LSTM networks
A CWGAN-GP-based multi-task learning model for consumer credit scoring
An artificial intelligence-based approach to deal with argumentation applied to food quality in a public health policy
Multi-parent extension of partially mapped crossover for combinatorial optimization problems
A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing
A variant SDDP approach for periodic-review approximately optimal pricing of a slow-moving a item in a duopoly under price protection with end-of-life return and retail fixed markdown policy
Locally robust EEG feature selection for individual-independent emotion recognition
How far we can go with extractive text summarization? Heuristic methods to obtain near upper bounds
A fast learning method for streaming and randomly ordered multi-class data chunks by using one-pass-throw-away class-wise learning concept
Conjoint analysis for luxury brand outlet malls in Korea with consideration of customer lifetime value
Java Fuzzy Kit (JFK): A shell to build fuzzy inference systems according to the generalized principle of extension
Analysing temporal performance profiles of UAV operators using time series clustering
A hybrid recommendation system with many-objective evolutionary algorithm
An improved demand forecasting method to reduce bullwhip effect in supply chains
The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran
Solving high school timetabling problems worldwide using selection hyper-heuristics
Sharing knowledge in a supply chain using the semantic web
Local arc consistency for non-invertible semirings, with an application to multi-objective optimization
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
IIR system identification using cat swarm optimization
A data mining approach to dynamic multiple responses in Taguchi experimental design
A sliding window method for finding top-k path traversal patterns over streaming Web click-sequences
A multi-objective optimization approach for the design of stand-alone electrification systems based on renewable energies
An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network
Predictive temporal patterns discovery
Synergy of evolutionary algorithm and socio-political process for global optimization
A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision making
Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms
Integrating indicators for performance assessment of small water utilities using ordered weighted averaging (OWA) operators
Heterogeneous graph convolution based on In-domain Self-supervision for Multimodal Sentiment Analysis
On solving large data matrix problems in Fuzzy AHP
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection
A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
A rule-based approach for estimating software development cost using function point and goal and scenario based requirements
Image deblurring method based on self-attention and residual wavelet transform
Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks
A case-based reasoning system for PCB principal process parameter identification
Comprehensive gradient-free optimization plugin with kernel density estimation-based cyclical learning rate and dynamic bandwidth adaptation
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns
Exploring the dynamic model of the returns from value stocks and growth stocks using time series mining
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning
Solving non-convex economic load dispatch problem via artificial cooperative search algorithm
A two-stage adaptive affinity propagation clustering using the wtDTW distance: Application in portfolio optimization
A fast hybrid clustering technique based on local nearest neighbor using minimum spanning tree
Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach
A Dynamic-Bayesian Network framework for modeling and evaluating learning from observation
Dynamic risk early warning system for tunnel construction based on two-dimensional cloud model
Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering
Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait
Bi-level plant selection and production allocation model under type-2 fuzzy demand
FinLSPM: Large stock predict model via numerical prior knowledge from LLM
Dynamic parking negotiation and guidance using an agent-based platform
Multi-adversarial autoencoders: Stable, faster and self-adaptive representation learning
Design of a two-stage fuzzy classification model
Introduction and application of an automatic gait recognition method to diagnose movement disorders that arose of similar causes
Texture defect classification with multiple pooling and filter ensemble based on deep neural network
Prediction of solubility of gases in polystyrene by Adaptive Neuro-Fuzzy Inference System and Radial Basis Function Neural Network
An empirical study of ChatGPT-related projects and their issues on GitHub
The role of influential nodes and their influence domain in community detection: An approximate method for maximizing modularity
A genetic algorithm for the vendor-managed inventory routing problem with lost sales
Benchmarking enhancements to a decision support system for global crop production assessments
Linking objective and subjective modeling in engineering design through arc-elastic dominance
Semantic management of multiple contexts in a pervasive computing framework
Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors
Efficient heuristics for the parallel blocking flow shop scheduling problem
Numerical fact-finding of different functions impact on the fuzzy preference programming optimality
Local plane estimation network with multi-scale fusion for efficient monocular depth estimation
A differential evolution for simultaneous transit network design and frequency setting problem
Using deep learning algorithms for finding a lost gamma source in a room with unpredictable and different obstacles
Leveraging multiple behaviors and explicit preferences for job recommendation
Cloud-based remote-controlled robot system: A Kubernetes-Orchestrated approach to high availability
A causality-inspired single-source domain generalized method for low-slow-small threat target recognition through holographic Doppler radar
Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
R-SIEL: a physics-informed learning algorithm for discovering dynamics of serial manipulators
Knowledge graph enhanced recommendation via context-aware dynamic relation perception and dual-view hierarchical contrastive learning
HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection
Context-aware multi-agent approach to pervasive negotiation support systems
A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network
Effect of foreign exchange management on firm performance using genetic algorithm and VaR
Three-dimensional guillotine cutting problems with constrained patterns: MILP formulations and a bottom-up algorithm
Multiobjective optimization of skim milk microfiltration based on expert knowledge
The tree based linear regression model for hierarchical categorical variables
Influence maximization in social networks based on TOPSIS
Deadline-aware task offloading in vehicular networks using deep reinforcement learning
Parallel SAX/GA for financial pattern matching using NVIDIA's GPU
Automated reasoning based user interface
A hybrid model for learning from failures
Comprehensive survey of computational ECG analysis: Databases, methods and applications
Multi-objective swarm intelligence approach for bias mitigation in decision-making software
Interactive mining and retrieval from process traces
Experiments in term weighting for novelty mining
How predictors affect the RL-based search strategy in Neural Architecture Search?
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items
Recommender system based on Convolutional Recurrent Deep Learning for protein-drug interaction prediction
Sustainable transportation planning considering traffic congestion and uncertain conditions
Discovery of associated consumer demands: Construction of a co-demanded product network with community detection
Automated defect inspection of light-emitting diode chips using neural network and statistical approaches
Hyperspectral image classification using graph convolutional network: A comprehensive review
BPMN MUSIM: Approach to improve the domain expert's efficiency in business processes modeling for the generation of specific software applications
Selecting the most preferable alternatives in a group decision making problem using DEA
Virtual metrology for run-to-run control in semiconductor manufacturing
Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding
A convolutional feature map-based deep network targeted towards traffic detection and classification
Application of soil parameter back analysis method based on MLAPSO in staged excavation deformation prediction
Deep multiple multilayer kernel learning in core vector machines
Deep neural network-aided radio frequency fingerprinting for identification of near field communication tags
Smooth quantile regression and distributed inference for non-randomly stored big data
Trajectory self-correction and uncertainty estimation for enhanced model-based policy optimization
Integrating planning and scheduling in workflow domains
An empirical approach to investigate the impact of technical and non-technical parameters on programmers' code comprehension proficiency
A sequential multiple attribute three-way group decision-making method to heterogeneous MAGDM problems with unknown weight information
Distributing weights under hierarchical clustering: A way in reducing performance breakdown
Gene clustering by using query-based self-organizing maps
A hybrid multi-agent metaheuristic for the offshore wind farm cable routing problem
A multi-agent intelligent system for efficient ERP maintenance
Effectiveness assessment of agricultural machinery based on fuzzy sets theory
Binary hiking optimization for gene selection: Insights from HNSCC RNA-Seq data
Multi-label feature selection with global and local label correlation
On the extraction of rules in the identification of bearing defects in rotating machinery using decision tree
Unleashing the power of Large Language Models for Low-Resource Relation Triplet Extraction by Structure-to-Text Data Generation
DoBMark: A double-branch network for screen-shooting resilient image watermarking
A SAX-GA approach to evolve investment strategies on financial markets based on pattern discovery techniques
A decomposition-ensemble-integration framework for carbon price forecasting
A web DSS approach to building an intelligent internet shopping mall by integrating virtual reality and avatar
Inconsistent ontology revision based on ontology constructs
A joint-inputs Network DEA approach to production and pollution-generating technologies
Color reduction using a multi-stage Kohonen Self-Organizing Map with redundant features
Automatic nipple detection in breast thermograms
Artificial neural networks for optimization of gold-bearing slime smelting
A recommender system based on tag and time information for social tagging systems
DCDG-EA: Dynamic convergence-diversity guided evolutionary algorithm for many-objective optimization
Efficient determination of driving resistance through system identification based on driving route information and weather data
Exploring digital capital of automated cargo clearance business websites
Pre-SMATS: A multi-task learning based prediction model for small multi-stage seasonal time series
Rialto: A Knowledge Discovery suite for data analysis
Designing multi-agent systems: a framework and application
A scoring model to detect abusive billing patterns in health insurance claims
Training-free approach to constructing ensemble of local experts
Cloud computing service composition: A systematic literature review
Solving the winner determination problem via a weighted maximum clique heuristic
The ECHORD project proposals analysis - Research profiles, collaboration patterns and research topic trends
Nucleus and cytoplast contour detector from a cervical smear image
HCLGT-DRP: Hypergraph contrastive learning and graph transformer for drug response prediction
Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic
Corrigendum to "Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data" [Expert Systems with Applications 42 (2015) 2928-2934]
Mining co-distribution patterns for large crime datasets
Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction
Investigation of engine fault diagnosis using discrete wavelet transform and neural network
Internal and contextual factors, knowledge processes and performance: From the Chinese provider's perspective
Meta-collaboration-based semantic contrast for inductive knowledge representation learning
RFM_Trans: Runoff forecasting model for catchment flood protection using strategies optimized Transformer
An ensemble approach applied to classify spam e-mails
Performance and early drop prediction for higher education students using machine learning
Sentiment analysis using osprey-optimized hybrid GoogleNet-ResNet with text and emoji data
Optimization of artificial neutral networks architecture for predicting compression parameters using piezocone penetration test
Randomness-oriented Multi-dimensional Cloud-based belief rule Base approach for complex system modeling
Improved bit-based filtering algorithm for regular constraint
A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI
A comparative evaluation of the effectiveness of document splitters for large language models in legal contexts
Combining functional networks and sensitivity analysis as wrapper method for feature selection
Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information
Recommender systems for personal knowledge management in collaborative environments
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework
Knowledge representation and reuse model of civil aircraft structural maintenance cases
Point-line feature-based vSLAM systems: A survey
MECA: Modular editing via customized expert networks and adaptors in large language models
Grayscale-inversion and rotation invariant image description using local ternary derivative pattern with dominant structure encoding
DWMFusion: A lightweight medical image fusion network based on discrete wavelet convolution and selective state space models
Pareto-optimal equilibrium points in non-cooperative multi-objective optimization problems
Structural equation model for effective CRM of information infrastructure industry in Korea
LS-GNHSVM: A novel joint geometrical nonparallel hyperplane support vector machine
A comprehensive review of deterministic models and applications for mean-variance portfolio optimization
The prediction of the electric field level in the reverberation chamber depending on position of stirrer
A quantum-inspired genetic algorithm for k-means clustering
CCR-Net: Surpassing baselines in irony detection via supportive-conflictive attention fusion
A multicriteria decision support method for evaluating radical schemes at conceptual design stage
A mobile business information system for the control of local and remote workforce through reactive and behavior-based monitoring
Para-Roof: High-quality parametric roof reconstruction via primitive proposal extraction from point cloud
An integrated eigenvector-DEA-TOPSIS methodology for portfolio risk evaluation in the FOREX spot market
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions
Multi-modal matrix factorization with side information for recommending massive open online courses
Sequencing single-machine tardiness problems with sequence dependent setup times using an iterated greedy heuristic
Automatic grading of Diabetic macular edema based on end-to-end network
Questionnaire- versus voice-based screening for laryngeal disorders
An approximation to the computational theory of perceptions using ontologies
Unsupervised method for sentiment analysis in online texts
The success of ePortfolio-based programming learning style diagnosis: Exploring the role of a heuristic fuzzy knowledge fusion
A multi-stage heuristic algorithm based on task grouping for vehicle routing problem with energy constraint in disasters
Optimal reorder decision-making in the agent-based apparel supply chain
Using case-based reasoning to diagnostic screening of children with developmental delay
Playing real-time strategy games by imitating human players' micromanagement skills based on spatial analysis
Parametric-based path generation for automated vehicles at roundabouts
Deep neural networks for separation of overlapping voltammetric signals
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
Typical stochastic resonance models and their applications in steady-state visual evoked potential detection technology
A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection
A second-pricing based incentive-compatible mechanism for matching and pricing in ride-sharing
Image watermarking scheme using nonnegative matrix factorization and wavelet transform
Application of convolutional neural network to traditional data
Robust weighted SVD-type latent factor models for rating prediction
Comparing of deep neural networks and extreme learning machines based on growing and pruning approach
Dependencies among attributes given by fuzzy confirmation measures
A novel algorithm for detection of COVID-19 by analysis of chest CT images using Hopfield neural network
A method of object detection with attention mechanism and C2f_DCNv2 for complex traffic scenes
Path-aware routing system for multimodal vigilance estimation: A structured fusion perspective
Enhancing privacy in commit-chains based on blind signature
Pixel-wise content attention learning for single-image deraining of autonomous vehicles
Safety assessment of tunnel construction based on counterintuitivity detection using multi-profile multi-model ensemble learning
Corrigendum to "Manufacturer's selling mode choice in a platform-oriented dual channel supply chain" [Expert Syst. Appl. 198 (2022) 116842]
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
MSU-Net: Multi-Scale self-attention semantic segmentation method for oil-tea camellia planting area extraction in hilly areas of southern China
The production scheduling problem employing non-identical parallel machines with due dates considering carbon emissions and multiple types of energy sources
Dynamic discount pricing in online retail systems: Effects of post-discount dynamic forces
Indoor surveillance video based feature recognition for pedestrian dead reckoning
Novel blockchain transaction provenance model with graph attention mechanism
Product recommendation approaches: Collaborative filtering via customer lifetime value and customer demands
Semivariogram-based distance function for gradual coverage location models
Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs
Corrigendum "Structural equation model for EDI controls: Controls design perspective" [Experts Systems with Applications 36 (2P1) (2009) 1731-1749]
Agent long-term coalition credit
Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals
An application to transient current signal based induction motor fault diagnosis of Fourier-Bessel expansion and simplified fuzzy ARTMAP
An agent-based approach for integrated process planning and scheduling
Predicting diversification scores of videos in recommendation network
Leveraging data-driven machine learning techniques to enhance bearing capacity estimation in prebored and precast piles
Study of corporate credit risk prediction based on integrating boosting and random subspace
An efficient genetic disorder detection framework using adaptive segmentation and classification mechanism from chromosome images
ABUS-Net: Graph convolutional network with multi-scale features for breast cancer diagnosis using automated breast ultrasound
Improved large-scale multi-objective competitive swarm optimizer with direction learning and decision enhancement
A case study of Spanish text transformations for twitter sentiment analysis
Entity knowledge transfer-oriented dual-target cross-domain recommendations
A hybrid approach for expressive numeric and temporal planning with control parameters
Securing financial sector applications in the quantum era: a comprehensive evaluation of NIST's recommended algorithms through use-case analysis
Recognition of propaganda techniques in newspaper texts: Fusion of content and style analysis
A survey on symbolic data-based music genre classification
Object localization and edge refinement network for salient object detection
Deep spatio-temporal 3D dilated dense neural network for traffic flow prediction
Relation enhancement for noise resistance in open-world link prediction
Development of an integrated reflow soldering control system using incremental hybrid process knowledge
Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
Using the FDM and ANP to construct a sustainability balanced scorecard for the semiconductor industry
Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm
Railway cold chain freight demand forecasting with graph neural networks: A novel GraphARMA-GRU model
A novel neuro-cognitive approach to modeling traffic control and flow based on fuzzy neural techniques
A Fermatean fuzzy MCDM method for selection and ranking Problems: Case studies
Motorcycle detection for ADAS through camera and V2V Communication, a comparative analysis of two modern technologies
Dynamic neighbourhood particle swarm optimisation algorithm for solving multi-root direct kinematics in coupled parallel mechanisms
An expert system for real-time fault diagnosis of complex chemical processes
Enhancing the efficacy of supplier selection decision-making on the initial stage of new product development: A hybrid fuzzy approach considering the strategic and operational factors simultaneously
Dual-branch spatio-temporal enhancement network-based human action recognition in UAV scenarios
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm