yusuke1997/dblp-id-title huggingface dataset:
Fault-tolerant learning control of air-breathing hypersonic vehicles with uncertain parameters and actuator faults
A unified intelligence-augmented framework for building audits via physical and virtual inspection
Possibility degree and divergence degree based method for interval-valued intuitionistic fuzzy multi-attribute group decision making
Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers
KGDR-EGs: Knowledge graph enhanced deep recommendation method for E-government services
Aligning Real Process Executions and Prescriptive Process Models through Automated Planning
A GRASP × ELS approach for the job-shop with a web service paradigm packaging
An enhanced particle swarm optimization with position update for optimal feature selection
Performance analysis of all-optical logical gate using artificial neural network
Asymmetric deep interaction network for RGB-D salient object detection
Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationship Preservation
A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking
Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Hybrid approach using case-based reasoning and rule-based reasoning for domain independent clinical decision support in ICU
An inventory-aware and revenue-based itemset placement framework for retail stores
GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering
An implementation and evaluation of recommender systems for traveling abroad
Fractional order control of conducting polymer artificial muscles
A Wasserstein distance-based spectral clustering method for transaction data analysis
Identification and evaluation of competitive products based on online user-generated content
Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence
Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation
A knowledge based reliability engineering approach to manage product safety and recalls
Low overhead performance monitoring for shared infrastructures
Investigation of continuous time Markov chain approximate transient analysis via subgraph generation in the case of a car sharing system model
A smart and secured blockchain for children's health monitoring using hybrid encryption and adaptive machine learning techniques
Localization and classification of abnormalities on chest X-ray images using a Mamba-YOLOvX model
Public opinion prediction on social media by using machine learning methods
Collaborative causal inference on distributed data
Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning
Study on strategy of CT image sequence segmentation for liver and tumor based on U-Net and Bi-ConvLSTM
A deep reinforcement learning-based approach for autonomous lane-changing velocity control in mixed flow of vehicle group level
DECTUIL: Cross-social network user identity linkage via dynamic embedding and clustering model driven by three-way decision
Decision support analysis for safety control in complex project environments based on Bayesian Networks
Surrogate indirect adaptive controller tuning based on polynomial response surface method and bioinspired optimization: Application to the brushless direct current motor controller
A multi-compartment electric vehicle routing problem with time windows and temperature and humidity settings for perishable product delivery
Uncertainty-guided Fourier-based domain generalization for seizure prediction
Sentiment analysis based on improved pre-trained word embeddings
A point contextual transformer network for point cloud completion
A system dynamics modeling approach for a multi-level, multi-product, multi-region supply chain under demand uncertainty
A fuzzy multi-objective portfolio model with DEA cross-efficiency
Distributed algorithm for parallel computation of the n queens solutions
EOG-based Human-Computer Interface system development
Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning
A real-time inventory decision system using Western Electric run rules and ARMA control chart
OSATG-GPT: Instruction-tuning large language models with open-source atomic tasks in Github
A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance
Revisiting fine-grained classification: A dual-branch method for noise-resilient and global-local discriminative learning
Intelligent video-based fire detection: A novel dataset and real-time multi-stage classification approach
A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-based design
Credit risk modeling using Bayesian network with a latent variable
On the differential benchmarking of promotional efficiency with machine learning modeling (I): Principles and statistical comparison
Fast incremental learning by transfer learning and hierarchical sequencing
Solving a multi-objective open shop scheduling problem by a novel hybrid ant colony optimization
Improved security of a dynamic remote data possession checking protocol for cloud storage
Fuzzy control system for variable rate irrigation using remote sensing
Applying case based reasoning for prioritizing areas of business management
Statistical analyses of solution methods for the multiple-choice knapsack problem with setups: Implications for OR practitioners
Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS)
SGDM-GRU: Spectral graph deep learning based Gated Recurrent Unit model for accurate fake news detection
Comparison of metrics for feature selection in imbalanced text classification
External validation measures for K-means clustering: A data distribution perspective
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks
Soft computing applications in customer segmentation: State-of-art review and critique
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Discrimination discovery in scientific project evaluation: A case study
BioDKM: Bio-inspired domain knowledge modeling method for humanoid delivery robots' planning
Sparse representation of ECG signals for automated recognition of cardiac arrhythmias
A new grey adaptive integrated model for forecasting renewable electricity production
HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification
Flexible job shop scheduling with parallel machines using Genetic Algorithm and Grouping Genetic Algorithm
A data-driven large-scale group decision-making framework for managing ratings and text reviews
Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
Stochastic data-driven optimization for multi-class dynamic pricing and capacity allocation in the passenger railroad transportation
Optimization of a passive harmonic filter based on the neural-genetic algorithm with fuzzy logic for a steel manufacturing plant
Interpretable feature modeling for robust color watermarking in the quaternion framework
Using fast adaptive neural network classifier for mutual fund performance evaluation
Multimodal joint subspace model for Parkinson's disease diagnosis
A novel efficient technique for solving nonlinear stochastic Itô-Volterra integral equations
Aligning enterprise knowledge and knowledge management systems to improve efficiency and effectiveness performance: A three-dimensional Fuzzy-based decision support system
Deep signal separation for adaptive estimation of instantaneous phase from vibration signals
An effective approach to detect the source(s) of out-of-control signals in productive processes by vector error correction (VEC) residual and Hotelling's T 2 decomposition techniques
Few-shot driver identification via meta-learning
Integration of preferences in multimodal multi-objective optimization
Evolutionary fuzzy decision model for construction management using support vector machine
Evaluating machine learning classification for financial trading: An empirical approach
A production modeling with genetic algorithms for a stationary pre-cast supply chain
An integrated deep learning and stochastic optimization approach for resource management in team-based healthcare systems
Towards robust adversarial defense on perturbed graphs with noisy labels
Linguistic features for review helpfulness prediction
Iterative query selection for opaque search engines with pseudo relevance feedback
3D model classification based on DRSN and multi-view feature fusion
PFSC: Parameter-free sphere classifier for imbalanced data classification
A proposal for student modeling based on ontologies and diagnosis rules
NN model-based evolved control by DGM model for practical nonlinear systems
Artificial bee colony based on adaptive search strategy and random grouping mechanism
HS-SMOTE: Oversampling method for multiple dynamic interpolations based on regular hexagon scoring mechanism
Solving project scheduling problems with resource constraints via an event list-based evolutionary algorithm
Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks
Location of amide I mode of vibration in computed data utilizing constructed neural networks
Misfire identification in a four-stroke four-cylinder petrol engine using decision tree
Precise drone location and tracking by adaptive matched filtering from a top-view ToF camera
STF2: A novel spatial-temporal feature fusion method for aero-engine remaining useful life prediction
A practical exploration of the convergence of Case-Based Reasoning and Explainable Artificial Intelligence
Capturing dynamics of post-earnings-announcement drift using a genetic algorithm-optimized XGBoost
Similarity Graph-correlation Reconstruction Network for unsupervised cross-modal hashing
Semi-supervised Human Activity Recognition with individual difference alignment
Deep anomaly detection in hyperspectral images based on membership maps and object area filtering
Corrigendum to "Breast mass classification based on cytological patterns using RBFNN and SVM" [Expert Systems with Applications 36 (3) (2009) 5284-5290]
Composite goal methods for transportation network optimization
Modelling group processes and effort estimation in project management using the Choquet integral: An MCDM approach
Reconstructing compact building models from 3D indoor point cloud with curved surfaces via global energy optimization
Integrating conceptual and visual representations with domain expertise for scalable visual plagiarism detection
Practically motivated adaptive fusion method with tie analysis for multilabel dispersed data
Explaining generative diffusion models via visual analysis for interpretable decision-making process
Abnormal behavior recognition for intelligent video surveillance systems: A review
A capital budgeting problem for preventing workplace mobbing by using analytic hierarchy process and fuzzy 0-1 bidimensional knapsack model
Weighted score-driven fuzzy clustering of time series with a financial application
Efficient on-line anomaly detection for ship systems in operation
Mining top-k maximal reference sequences from streaming web click-sequences with a damped sliding window
A model for early rumor detection base on topic-derived domain compensation and multi-user association
Robust link prediction in criminal networks: A case study of the Sicilian Mafia
On robot indoor scene classification based on descriptor quality and efficiency
Towards monocular vision-based autonomous flight through deep reinforcement learning
Task offloading and parameters optimization of MAR in multi-access edge computing
Revealing performance heterogeneity through knowledge management maturity evaluation: A capability-based approach
A metric learning approach for endoscopic kidney stone identification
A causal knowledge-based expert system for planning an Internet-based stock trading system
Range estimation of construction costs using neural networks with bootstrap prediction intervals
Maintaining case-based reasoning systems using a genetic algorithms approach
Designing intelligent disaster prediction models and systems for debris-flow disasters in Taiwan
Expert system segmentation of face images
AutoLog: Anomaly detection by deep autoencoding of system logs
Feature engineering to detect fraud using healthcare claims data
Using case-based reasoning to establish a continuing care information system of discharge planning
A vision-based system analyzing sit-to-stand and its clinical utility in classifying Parkinson's disease
Mining decision rules on data streams in the presence of concept drifts
Improving associative classification by incorporating novel interestingness measures
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
Data mining for yield enhancement in semiconductor manufacturing and an empirical study
Keypoint prediction enhanced Siamese networks with attention for accurate visual object tracking
Erratum to: Glaucoma detection using adaptive neuro-fuzzy inference system [Expert Systems with Applications 32 (2) (2007) 458-468]
GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for fake news detection
A comparative study of nonlinear manifold learning methods for cancer microarray data classification
Deep reinforcement learning based preventive maintenance policy for serial production lines
A predictive model for acute allograft rejection of liver transplantation
A bi-objective optimization of supply chain design and distribution operations using non-dominated sorting algorithm: A case study
Measuring energy efficiency performance of China's transport sector: A data envelopment analysis approach
The attitude of MCDM approaches versus the optimization model in finding the safest shortest path on a fuzzy network
Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic
Zero anaphora resolution by case-based reasoning and pattern conceptualization
Vision-language constraint graph representation learning for unsupervised vehicle re-identification
A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption
An efficient iterated local search algorithm for the corridor allocation problem
Modelling situation awareness for Context-aware Decision Support
Kernel methods with asymmetric and robust loss function
Geographic knowledge discovery from Web Map segmentation through generalized Voronoi diagrams
A study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis
DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization
Objective and neutral summarization of customer reviews
An application of a new meta-heuristic for optimizing the classification accuracy when analyzing some medical datasets
Bengali text document categorization based on very deep convolution neural network
Robust sparse orthogonal basis clustering for unsupervised feature selection
A high-quality voxel 3D reconstruction system for large scenes based on the branch and bound method
Sensitivity analysis method to address user disparities in the analytic hierarchy process
Continuous control with Stacked Deep Dynamic Recurrent Reinforcement Learning for portfolio optimization
A new approach for data clustering and visualization using self-organizing maps
Regulating learning module for patient monitoring interactive event detecting robots
A multi-population particle swarm optimization-based time series predictive technique
Organizational demographic variables and preliminary KM implementation success
Extended decision template presentation for combining classifiers
A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods
Esophageal cancer detection framework based on time series information from smear images
Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction
H2-MARL: Multi-agent reinforcement learning for Pareto optimality in hospital capacity strain and human mobility during epidemic
Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond
New model of utility analysis and performance prediction in crowdfunding: A perspective of behavior-related decision
CDRT-RRT*: Real-time rapidly exploring Random Tree Star based on convex dissection
Image segmentation using Atanassov's intuitionistic fuzzy sets
Two inventory systems with trapezoidal-type demand rate and time-dependent deterioration and backlogging
Time-synchrosqueezing generalized W transform for high-resolution time-frequency representation and application in dual-domain ECG classification
Enhancing automatic readability assessment with document and word knowledge fusion
CloudExpert: An intelligent system for selecting cloud system simulators
The role of link redundancy and structural heterogeneity in network disintegration
Handling the impact of feature uncertainties on SVM: A robust approach based on Sobol sensitivity analysis
Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States
Security Measurement in LTE/LTE-A Network Based on zS-Lr Feature Selection Technique and Um-tGAN Attack Detection Technique
Performance assessment and comparison of online food delivery service providers based upon the aggregated perspectives of restaurant operators
A novel visual secret sharing scheme for multiple secrets without pixel expansion
Simultaneous people tracking and motion pattern learning
A novel deterministic approach for aspect-based opinion mining in tourism products reviews
Recurrent neural networks employing Lyapunov exponents for analysis of ECG signals
A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
A novel vehicle collision detection system: Integrating audio-visual fusion for enhanced performance
A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry
Automatic alarm prioritization by data mining for fault management in cellular networks
Efficient Clustering-Based electrocardiographic biometric identification
Towards robust drug recommendation based on dual perspective encoder and iterative denoising mechanism
RailFDNet: A hybrid supervision and feature discrepancy enhancement model for railway anomalous object detection
BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation
Dependency syntax guided BERT-BiLSTM-GAM-CRF for Chinese NER
Deep fusion of time series and visual data through temporal Features: A soft-sensor model for FeO content in sintering process
Forecasting model of Shanghai and CRB commodity indexes
An online fuzzy fraud detection framework for credit card transactions
Novel expert system for defining power quality compensators
Relevance vector machine and fuzzy system based multi-objective dynamic design optimization: A case study
Real-time prediction for temperature distribution on the cylinder head of dual-fuel engines via a novel deep learning framework
Hierarchical topic modeling with automatic knowledge mining
VGTS: Visually Guided Text Spotting for novel categories in historical manuscripts
Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry
An organizational memory for facilitating knowledge: an application to e-business architecture
A neighborhood rough sets-based ensemble method, with application to software fault prediction
Structure learning with consensus label information for multi-view unsupervised feature selection
Optimization of neural networks through grammatical evolution and a genetic algorithm
Data Envelopment Analysis and non-discretionary inputs: How to select the most suitable model using multi-criteria decision analysis
Designing a fuzzy system for controlling the armament fire in dynamic siege
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression
DiSA-CF: A distance-integrated self-attention model for collaborative filtering in web service recommendation
Quantifying the indirect effects of a marketing contact
Rethinking detection based table structure recognition for visually rich document images
Knowledge-guided lightweight vision transformer with circular relative positional encoding for condition identification of industrial rotary kilns
Affective speech interface in serious games for supporting therapy of mental disorders
An effective hybrid biogeography-based optimization algorithm for parameter estimation of chaotic systems
Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information
FedCTPM: A federated cross-regional collaboration learning approach for traffic flow prediction
Intelligent technical analysis based equivolume charting for stock trading using neural networks
HAEA: A heterogeneous alternating evolutionary algorithm for numerical optimization
A new method of diagnostic row reasoning based on trivalent residuals
Real-time 6DoF full-range markerless head pose estimation
Declarative planning in procedural agent architectures
Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission
False positive reduction for lung nodule detection using 3D Channel-Spatial attention model with multi-descriptor-based refinement
Gradual cooperative coverage models for optimally locating rain gauges on an urban transportation network
HeartMan DSS: A decision support system for self-management of congestive heart failure
FLPC: Fusing language and point cloud for 3D object classification
Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features
NAVMAT: An AI-supported naval failures knowledge management system
Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems
Group-based ER-AHP system for product project screening
Developing a recommender system in a consumer electronic device
An interpretable approach to passenger flow prediction and irregular passenger travel patterns understanding in metro system
GPUTucker: Large-Scale GPU-Based Tucker Decomposition Using Tensor Partitioning
Efficient large-scale action recognition in videos using extreme learning machines
(MF)2LS: Memetic framework with memory based fuzzy local search
Exploring core competencies for R&D technical professionals
Semantic Ontology Mapping for Interoperability of Learning Resource Systems using a rule-based reasoning approach
Diagnosis of liver disease by using CMAC neural network approach
A mixed integer linear programing approach to perform hospital capacity assessments
A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP)
Real-time energy exchange strategy of optimally cooperative microgrids for scale-flexible distribution system
Attention based adaptive spatial-temporal hypergraph convolutional networks for stock price trend prediction
Behavioral simulation and optimization of generation companies in electricity markets by fuzzy cognitive map
Adaptive fuzzy logic controller for DC-DC converters
High-order Markov-switching portfolio selection with capital gain tax
Non-parametric double-layer locally weighted k-means clustering for multi-view data