yusuke1997/dblp-id-title huggingface dataset:
Siamese network with dual attention for EEG-driven social learning: Bridging the human-robot gap in long-tail autonomous driving
Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine's parameters
An improved pattern match method with flexible mask for automatic inspection in the LCD manufacturing process
Communicating delays and adjusted disposition timetables: Modelling and evaluating the impact of incomplete information to passengers
A hybrid approach combining data envelopment analysis and recurrent neural network for predicting the efficiency of research institutions
A reinforcement learning recommender system using bi-clustering and Markov Decision Process
Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
Semi-mobile in-pit crushing and conveying vs. truck-shovel systems: Long-term scheduling with road and conveyor networks integration
Determination of efficiency of flat-plate solar collectors using neural network approach
A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information
A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing
Multi-layer prototype learning with Dirichlet mixup for open-set EEG recognition
Modelling of the cutting tool stresses in machining of Inconel 718 using artificial neural networks
Mining frequent patterns and association rules using similarities
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
Application of improved chimp optimization algorithm integrating multiple strategies in reservoirs optimization operation
Supply chain models for deteriorating products with ramp type demand rate under permissible delay in payments
A paired neural network model for tourist arrival forecasting
Knowledge-enhanced multidimensional estimation of distribution hyper-heuristic evolutionary algorithm for semiconductor final testing scheduling problem
A novel approach based on Grasshopper optimization algorithm for medical image fusion
LSESpeak: A spoken language generator for Deaf people
Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty
A new framework for deep learning video based Human Action Recognition on the edge
Viewpoint planning optimization for structure from motion-based 3D reconstruction of industrial products with sim-to-real proximal policy optimization
AEPSO: An adaptive learning particle swarm optimization for solving the hyperparameters of dynamic periodic regulation grey model
CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning
Empirical study of the Bee Colony Optimization (BCO) algorithm
LA-HCN: Label-based Attention for Hierarchical Multi-label Text Classification Neural Network
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach
Three novel fuzzy logic concepts applied to reshoring decision-making
PM 2.5 concentration prediction using hidden semi-Markov model-based times series data mining
Automatic segmentation model combining U-Net and level set method for medical images
An intelligent digital twin system for paper manufacturing in the paper industry
Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition
GCKG: Novel Gated Convolutional embedding model for Knowledge Graphs
PRV-FCM: An extension of fuzzy cognitive maps for prescriptive modeling
TriHAtt-BERT-DBiLSTM: Deep learning model for medical emergency prediction from the unstructured data
Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey
A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders
An expert system for checking the correctness of memory systems using simulation and metamorphic testing
An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples
Enhancing vehicular safety with multi-object multi-camera tracking in Open RAN networks
A fast density peak clustering based particle swarm optimizer for dynamic optimization
Deep learning for multi-class electrical load detection in smart X-energy systems on edge computing devices
Experimental evaluation of an automatic parameter setting system
Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals
Remediating critical cause-effect situations with an extended BDI architecture
The construction and application of knowledge navigator model (KNM TM ): An evaluation of knowledge management maturity
Dual-IRDet: Cross-attention-based dual-band infrared images fusion for aircraft anti-interference detection
Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it
ERI-Query graph miner: an algorithm to detect edge relaxed induced query graph in large dynamic communication networks
Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility
Critical commentary on "Reptile search algorithm (RSA): a nature-inspired meta-heuristic optimizer"
Towards robustness evaluation of backdoor defense on quantized deep learning models
Visual attention-guided fractional-order system for collision perception in complex dynamic scenes
High resolution ambulatory holter ECG events detection-delineation via modified multi-lead wavelet-based features analysis: Detection and quantification of heart rate turbulence
A sales forecasting model for new-released and nonlinear sales trend products
LLM-Loc: Bootstrap single-image indoor localization with large language model
KATSA: KNN Ameliorated Tree Seed Algorithm for complex optimization problems
An origin-destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
Parallel genetic algorithm with a knowledge base for a redundancy allocation problem considering the sequence of heterogeneous components
A model of resilient supply chain network design: A two-stage programming with fuzzy shortest path
A heterogeneous information network-based approach for cold-start bundle recommendation
An integrated supplier selection methodology incorporating QFD and DEA with imprecise data
Shielding federated learning: mitigating label transferability against poisoning attacks in cloud-edge-client system
A note on "A new method for ranking discovered rules from data mining by DEA", and a full ranking approach
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers
A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer
SMOTE-kTLNN: A hybrid re-sampling method based on SMOTE and a two-layer nearest neighbor classifier
TIA2V: Video generation conditioned on triple modalities of text-image-audio
The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto's disease
Multi-space interaction learning for disentangled knowledge-aware recommendation
Machine learning-based agent staffing under uncertainty: The case of a relay call center
A logistic binary Jaya optimization-based channel selection scheme for motor-imagery classification in brain-computer interface
A hyperspectral band selection method based on sparse band attention network for maize seed variety identification
An intelligent green scheduling system for sustainable cold chain logistics
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings
Noncontact capacitive coupling ECG-Derived respiratory signals using the conformer based time-frequency domain generative adversarial network
Contrastive learning enhanced deep neural network with serial regularization for high-dimensional tabular data
Extended Gaussian kernel version of fuzzy c-means in the problem of data analyzing
Extension of VIKOR method in intuitionistic fuzzy environment for robot selection
Bioacoustic signal classification in continuous recordings: Syllable-segmentation vs sliding-window
Modeling iot traffic patterns: Insights from a statistical analysis of an mtc dataset
Graph-based document-level relationship extraction for risk analysis: A transitive and dialog coherence approach
A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines
Simultaneous fault and mode switching identification for hybrid systems based on particle swarm optimization
Deep learning-based credit card fraud detection in federated learning
A two-phase federated learning framework for machinery fault diagnosis with cloud-edge collaborative computing
Adaptive subband partition encoding scheme for multiple audio objects using CNN and residual dense blocks mixture network
Mamba-based multi-scale multi-dimensional keypoint regression network for accurate 3D hand pose estimation
Grey clustering analysis for incipient fault diagnosis in oil-immersed transformers
Optimizing the performance of an MLP classifier for the automatic detection of epileptic spikes
EMF-Net: An edge-guided multi-feature fusion network for text manipulation detection
An expert system for improving web-based problem-solving ability of students
Interval valued symbolic representation of writer dependent features for online signature verification
Tail dependence structure of the foreign exchange market: A network view
Agent-based diffusion model for an automobile market with fuzzy TOPSIS-based product adoption process
Smart, comfortable wearable system for recognizing Arabic Sign Language in real-time using IMUs and features-based fusion
Task-oriented contrastive learning for unsupervised domain adaptation
More than words: Social networks' text mining for consumer brand sentiments
Multimodal collaborative framework for complex parking scenarios: multimodal perception fusion, curvature‑continuous trajectory planning and hierarchical robust tracking control
BBO-BPNN and AMPSO-BPNN for multiple-criteria inventory classification
Shape transformation based on the modified Lengyel-Epstein model
A new logic correlation rule for HIV-1 protease mutation
Exponent back propagation neural network forecasting for financial cross-correlation relationship
QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge
Refined selfish herd optimizer for global optimization problems
Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network
STONE: A streaming DDoS defense framework
A masked-face detection algorithm based on M-EIOU loss and improved ConvNeXt
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
Deep Convolutional Neural Network Based Eye States Classification Using Ear-EEG
A lightweight open-world pest image classifier using ResNet8-based matching network and NT-Xent loss function
Selecting the right MBA schools - An application of self-organizing map networks
A closed-form pricing formula for European options with market liquidity risk
Marker and dynamic geometry aware transformer for robust point cloud registration
Using an artificial neural network prediction model to optimize work-in-process inventory level for wafer fabrication
Designing of data-driven strategies for the online one-way trading problem
Semantic-aware contrastive learning for graph classification
Novel Adaptive Balloon Active Contour Method based on internal force for image segmentation - A systematic evaluation on synthetic and real images
An efficient algorithm for task allocation with the budget constraint
Feedback-based metric learning for activity recognition
Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS
A crossover operator for improving the efficiency of permutation-based genetic algorithms
Particle filter based on Particle Swarm Optimization resampling for vision tracking
Comprehensive evaluation of urban talent ecological environment and diagnosis of barrier factors: An analysis of 16 cities in Shandong Province
A study on the operational performance of Chinese commercial banks considering time lag effects: A dynamic three-stage time-lag cross-efficiency model
Adaptive safety-aware semi-supervised clustering
Self-supervised transfer learning framework driven by visual attention for benign-malignant lung nodule classification on chest CT
Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach
Detection and tracking of floating objects based on spatial-temporal information fusion
Deep residual convolutional neural Network: An efficient technique for intrusion detection system
Evolutionary computation in the identification of risk factors. Case of TRALI
Reinforcement learning approaches for specifying ordering policies of perishable inventory systems
Weather-adaptive flying target detection and tracking from infrared video sequences
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Applying Bayesian networks to performance forecast of innovation projects: A case study of transformational leadership influence in organizations oriented by projects
Integration of data mining technologies to analyze customer value for the automotive maintenance industry
Integrating BiLSTM and CNN for predicting user mobility from geotagged social media posts
Fake news detection on Pakistani news using machine learning and deep learning
A hybrid system integrating signal analysis and probabilistic neural network for user motion detection in wireless networks
The multiple traveling purchaser problem for maximizing system's reliability with budget constraints
Hybrid feature selection based on enhanced genetic algorithm for text categorization
Rolling-horizon approach in solving dynamic multisize multi-trailer container drayage problem
negFIN: An efficient algorithm for fast mining frequent itemsets
An intelligent control system based on prediction of the burn-through point for the sintering process of an iron and steel plant
Mining linear programming models from databases using means ends analysis and artificial neural network
Cross-stage recurrent feature sharing network for video dehazing
Proactive self-exploration: Leveraging information sharing and predictive modelling for anticipating and countering adversaries
Transfer learning based standard-essential patent prediction with prior transfer direction learning
Building an expert system to assist system refactorization
An integrated method for complex heterogeneous multi-attribute group decision-making and application to photovoltaic power station site selection
A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems
Comparison of first order predicate logic, fuzzy logic and non-monotonic logic as knowledge representation methodology
Construction site layout planning problem: Past, present and future
Two-echelon location-routing optimization with time windows based on customer clustering
Detecting corn tassels using computer vision and support vector machines
Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks
Multi-strategy-based adaptive sine cosine algorithm for engineering optimization problems
Research on one-dimensional data quality assurance for machinery health monitoring using compressive sensing and enhanced context encoder
Optimizing k-coverage in energy-saving wireless sensor networks based on the Elite Global Growth Optimizer
A hybrid layer-fusion convolutional neural network and machine learning framework for automated detection and classification of CAD and CHF cardiac diseases
SLMS-SSD: Improving the balance of semantic and spatial information in object detection
Predicting demand for new products in fashion retailing using censored data
Selection and fusion of facial features for face recognition
The innovation challenge in Spain: A Delphi study
Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety
Erratum to "A cognitive map simulation approach to adjusting the design factors of the electronic commerce web sites" [Expert Systems with Applications 24 (2003) 1-11]
Fact in fragments: Deconstructing complex claims via LLM-based atomic fact extraction and verification
Neuro-fuzzy modeling of rotation capacity of wide flange beams
Extractive summarization using supervised and unsupervised learning
Identification of EMG signals using discriminant analysis and SVM classifier
Dual-network proportional variable speed limit control for mixed traffic flows with multi-level automated vehicles
A multimodal approach using deep learning for fall detection
Support decision system based on invoices data mining to estimate commercial pent-up demands
A fuzzy clustering neural networks for motion equations of synchro-drive robot
Modal dynamics features enhancement multi-scale spatial-temporal networks for 3D human motion prediction from 2D skeletons
Geometric visual fusion graph neural networks for multi-person human-object interaction recognition in videos
Recent development on online public opinion communication and early warning technologies: Survey
An unsupervised learning framework for detecting adaptive cruise control operated vehicles in a vehicle trajectory data
Block term decomposition with distinct time granularities for temporal knowledge graph completion
Performance evaluation for classification methods: A comparative simulation study
Noninvasive detection of bladder cancer using mid-infrared spectra classification
An empirical study on the effect of data sparsity and data overlap on cross domain collaborative filtering performance
A censored semi-bandit model for resource allocation in bike sharing systems
Branch and cut for the team orienteering problem with nonidentical agents and balanced score
Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
Integration of heterogeneous models to predict consumer behavior
SOM-based information maximization to improve and interpret multi-layered neural networks: From information reduction to information augmentation approach to create new information
An alternative to fuzzy methods in decision-making problems
A public static agreement key based cryptography for secure data transmission in WSN based smart environment application
Using neural networks and immune algorithms to find the optimal parameters for an IC wire bonding process
Vehicle compound planning and control system: A planning and control framework for vehicle compounds with online-optimization on the level of individual workers
A framework for collaborative filtering recommender systems
An efficient date-constraint hierarchical key management scheme for mobile agents
EHW-Font: A handwriting enhancement approach mimicking human writing processes
Automated cinematic reasoning about camera behavior
Training neural networks using Central Force Optimization and Particle Swarm Optimization: Insights and comparisons
A new evidential trust model for open distributed systems
Multi-person 3D pose estimation from multi-view without extrinsic camera parameters
Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks
A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization
Image analysis of histological features in molar pregnancies
Development of artificial neural network for condition assessment of bridges based on hybrid decision making method - Feasibility study
MEDTSAN: A mechanism-enabled deep transferable subdomain adaptation network for rolling bearing fault diagnosis without labeled data
Audio-Visual Segmentation based on robust principal component analysis
A concrete reformulation of fuzzy arithmetic
A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
SICFNet: Shared Information Interaction and Complementary Feature Fusion Network for RGB-T traffic scene parsing
A machine learning approach of enhancing eCommerce solutions
Multi-objective truss structural optimization considering natural frequencies of vibration and global stability
Combining hierarchical clustering approaches using the PCA method
A transformer network for multi-dimensional nonuniform aperture synthesis radiometer image inversion
An empirical study of sentiment analysis for chinese documents
Deep learning based face shape classification system with binary feature selection model
Dog nose-print recognition based on the shape and spatial features of scales
An NLP-based system for modulating virtual experiences using speech instructions
Forecasting tourist arrivals by using the adaptive network-based fuzzy inference system
An innovative framework for designing genetic algorithm structures
Interactive fuzzy random cooperative two-level linear programming through level sets based probability maximization
Evaluation of energy economic optimization models using multi-criteria decision-making approach
Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI
Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
Machine learning techniques and data for stock market forecasting: A literature review
Evidential reasoning approach for bridge condition assessment
Collaborative and efficient privacy-preserving critical incident management system
Task-driven attention attack: An enhanced adversarial framework for long text
Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning
Exchange rate forecasting using a combined parametric and nonparametric self-organising modelling approach
Applying optimized BPN to a chaotic time series problem
A principal component analysis model-based predictive controller for controlling part warpage in plastic injection molding
A sparse kernel algorithm for online time series data prediction
RAMPAGE: a software framework to ensure reproducibility in algorithmically generated domains detection
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation
A multi-agent data mining system for cartel detection in Brazilian government procurement
A model for predicting post-translational modification cross-talk based on the Multilayer Network
A novel hybrid meta -learning for few-shot gas-insulated switchgear insulation defect diagnosis
A novel hybrid charge system search and particle swarm optimization method for multi-objective optimization
A biologically inspired approach to tracking control of underactuated surface vessels subject to unknown dynamics
Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network
Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach
A cross-dependence based ranking system for efficient and inefficient units in DEA
Automatic anuran identification using noise removal and audio activity detection
Social recommendation via deep neural network-based multi-task learning
JAPIEST: An integral intelligent system for the diagnosis and control of tomatoes diseases and pests in hydroponic greenhouses
Automatic EEG seizure detection using dual-tree complex wavelet-Fourier features
Optimal design of expected lifetime and warranty period for product with quality loss and inspection error
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning