yusuke1997/dblp-id-title huggingface dataset:
MACE: multi-agents coordination engine to resolve conflicts among functional units in an enterprise
Bayesian network model of maritime safety management
Fuzzy queries of social networks with FSA-SPARQL
Fuzzy DIFACONN-miner: A novel approach for fuzzy rule extraction from neural networks
Nighttime airport runway FOD intrusive detection through frequency-domain interference of spatially aggregated dynamic feature
Automatic identification of individual yaks in in-the-wild images using part-based convolutional networks with self-supervised learning
A framework for feature selection through boosting
Seeding the survey and analysis of research literature with text mining
Open-vocabulary object detection via debiased curriculum self-training
Joint segmentation and classification of skin lesions via a multi-task learning convolutional neural network
Rule based system for power quality disturbance classification incorporating S-transform features
Semi-supervised attribute reduction for heterogeneous data based on misclassification cost and self-information
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm
Complexity in road freight transport outsourcing networks. TRANSOPE: An agent-based dynamic model
Deep learning-based analysis of interface performance between brittle engineering materials and composites
Towards combinatorial evolution of composite systems
WebOWL: A Semantic Web search engine development experiment
A hybrid model using genetic algorithm and neural network for classifying garment defects
Improving sale performance prediction using support vector machines
Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard
Infant cry classification to identify asphyxia using time-frequency analysis and radial basis neural networks
Newbuilding ship price forecasting by parsimonious intelligent model search engine
Learning diverse fine-grained features for thermal infrared tracking
Serial distributed reinforcement learning for enhanced multi-objective platoon control in curved road coordinates
Chinese text segmentation: A hybrid approach using transductive learning and statistical association measures
Risk assessment and risk management of violent reoffending among prisoners
Focal difficult-to-predict pixels dice loss for mitigating data imbalance in medical image segmentation
EJMACC: Emotion Aided a Joint Learning Approach for Multi-aspect Crisis Event Classification
Dual-graph denoising and attention network for session-based recommendation
A multi-lead group network for myocardial infarction detection and localization based on clinical knowledge-driven and dynamic-static feature fusion
Proportional picture fuzzy sets and their AHP extension: Application to waste disposal site selection
A novel meta fusion detective twin network approach for dynamic degradation process in rotating Machinery
A multi-label classification based approach for sentiment classification
Prediction of flow stress for carbon steels using recurrent self-organizing neuro fuzzy networks
Multi-objective neural architecture search combining binary artificial bee colony algorithm for dynamic hand gesture recognition
Research on rolling bearing fault diagnosis based on parallel depthwise separable ResNet neural network with attention mechanism
Oslcfit (organic simultaneous LSTM and CNN Fit): A novel deep learning based solution for sentiment polarity classification of reviews
An adaptive artificial bee colony for unrelated parallel machine scheduling with additional resource and maintenance
Optimizing feature selection methods by removing irrelevant features using sparse least squares
A hybrid graph memory network approach with multi-level feature representation for traffic flow forecast
A dependence assessment method based on quantum model of mass function in human reliability analysis
CSP-Ph-PS: Learning CSP-phase space and Poincare sections based on evolutionary algorithm for EEG signals recognition
Multi-document summarization for patent documents based on generative adversarial network
Location and allocation decisions in a two-echelon supply chain with stochastic demand - A genetic-algorithm based solution
Fire identification based on improved multi feature fusion of YCbCr and regional growth
ARMLF: Anomalous region representation learning for multi-exposure fused light field image quality assessment
CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization
Clustering-based location in wireless networks
Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer
Automatic hepatitis diagnosis system based on Linear Discriminant Analysis and Adaptive Network based on Fuzzy Inference System
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications
Comparing paradigms for strategy learning of route choice with traffic information under uncertainty
The development of an intelligent system for customized clothing making
Trace retrieval for business process operational support
FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things
Reinforcement learning algorithms: A brief survey
Feature Selection for Classification using Principal Component Analysis and Information Gain
Enhanced concrete crack segmentation with MSMC-U-Net: integrating multiscale features and contextual analysis for infrastructure safety
Combination in the theory of evidence via a new measurement of the conflict between evidences
Scene adaptive dynamic multi-modal knowledge for video captioning
An attempt to apply the homotopy method to the domain of machine learning
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
Hierarchical groups DEA super-efficiency and group TOPSIS technique: Application on mobile money agents locations
Finder, Evaluator, Explainer, Generator (FEEG): A Bloom's taxonomy-based query classification framework for LLMs and generative AI
Deep Learning for predicting neutralities in Offensive Language Identification Dataset
Constructing performance appraisal indicators for mobility of the service industries using Fuzzy Delphi Method
Strategic experts' weight manipulation in 2-rank consensus reaching in group decision making
Detecting criminal organizations in mobile phone networks
Fuzzy regular least squares twin support vector machine and its application in fault diagnosis
A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies
Expert system design using wavelet and color vocabulary trees for image retrieval
An integrated case-based reasoning and MCDM system for Web based tourism destination planning
W-FRIM: A weighted fuzzy RIM approach
Visual content representation using semantically similar visual words
Fuzzy control of an electrodynamic shaker for automotive and aerospace vibration testing
Implementing ultra-lightweight co-inference model in ubiquitous edge device for atrial fibrillation detection
Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals
AI-driven deep learning framework for enhanced neurodegenerative disease diagnosis: A novel CNN with attention mechanisms and data balancing
A robust dual-pronged proactive defense framework against deepfakes via adversarial semi-fragile watermarking
Effect of error metrics on optimum weight factor selection for ensemble of metamodels
Freight rate index forecasting with Prophet model based on multi-dimensional significant events
Automated biomedical measurements analysis: Innovative models based on machine learning for predicting laboratory results in nephrology
Occupational safety and health risk assessment during maintenance stage of construction projects: A multi-pronged fuzzy-based approach
Differentially private recommender framework with Dual semi-Autoencoder
Data-driven fraud detection in international shipping
Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model
A new edge detection approach via neutrosophy based on maximum norm entropy
An expert system based on least square support vector machines for diagnosis of the valvular heart disease
A new detection method for the ageing state of composite insulators based on spectral-spatial feature fusion
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
Node classification using kernel propagation in graph neural networks
Rear obstacle detection system with fisheye stereo camera using HCT
A Novel non-Lyapunov way for detecting uncertain parameters of chaos system with random noises
Mineral identification based on natural feature-oriented image processing and multi-label image classification
DEALSD: A deep edge assisted line segment detector
Language proficiency assessment of autistic children using large language models
A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network
ALSR: An adaptive label screening and relearning approach for interval-oriented anomaly detection
A fast design tool for compact heat exchangers tube geometry to enhance thermohydraulic performance using various AI models
Neighbor-weighted K-nearest neighbor for unbalanced text corpus
A three-way large-scale group decision-making method integrating sentiment analysis and quantum interference-based prospect theory for the selection of new energy vehicles
An improved algorithm optimization algorithm based on RungeKutta and golden sine strategy
A machine learning approach to address robust bi-objective gate assignment under aircraft's taxi delay uncertainties
A novel version of Cuckoo search algorithm for solving optimization problems
Identifying core technologies based on technological cross-impacts: An association rule mining (ARM) and analytic network process (ANP) approach
Spatial co-location pattern mining over extended objects based on cell-relation operations
A hybrid metaheuristic algorithm for the vehicle routing problem with simultaneous delivery and pick-up service
Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring
Traffic conduction analysis model with time series rule mining
Orthogonal Progressive Network for Few-shot Object Detection
Risk based opportunistic maintenance model for complex mechanical systems
Incorporating medical domain knowledge into data-driven method: A vessel attention guided multi-granularity network for automatic cataract classification
Situation assessment and decision making for lane change assistance using ensemble learning methods
Case-based parametric design system for test turntable
Multi-label graph node classification with label attentive neighborhood convolution
Structure-aware deep learning for chronic middle ear disease
OntoSakai: On the optimization of a Learning Management System using semantics and user profiling
An integrated methodology for system-level early fault detection and isolation
A probabilistic decision-making approach for the sustainable assessment of infrastructures
Latent space search approach for domain adaptation
Describe like a pathologist: Glomerular immunofluorescence image caption based on hierarchical feature fusion attention network
Application of CUSUM charts to detect lameness in a milking robot
Multi-level Feature Attention Network for medical image segmentation
A customised grammar framework for query classification
A comprehensive review of Branch-and-Bound algorithms: Guidelines and directions for further research on the flowshop scheduling problem
An effective ANN-based hybrid fiber diameter control approach with gated recurrent units and selective weight optimization
BA-Net: Bridge attention in deep neural networks
Dynamics of customer segments: A predictor of customer lifetime value
Attention-based dynamic user modeling and Deep Collaborative filtering recommendation
The multi-depot open location routing problem with a heterogeneous fixed fleet
Cos-UMamba: Optimizing salient object detection with cosine scanning and bias-corrected feature fusion in optical remote sensing images
A fuzzy nearest neighbor neural network statistical model for predicting demand for natural gas and energy cost savings in public buildings
MTCIR: A multi-term tag cloud information retrieval system
Identification of sport talents using a web-oriented expert system with a fuzzy module
Solving the battery swap station location-routing problem with a mixed fleet of electric and conventional vehicles using a heuristic branch-and-price algorithm with an adaptive selection scheme
An inverse approach for automatic segmentation of carotid and vertebral arteries in CTA
Evolutionary optimization of a multiscale descriptor for leaf shape analysis
Corporate strategies, environmental forces, and performance measures: a weighting decision support system using the k-nearest neighbor technique
Deep contrastive learning based hybrid network for Typhoon intensity classification
Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis
Rough Pythagorean fuzzy approximations with neighborhood systems and information granulation
Decision tree and artificial immune systems for stroke prediction in imbalanced data
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
Matrix completion on learnt graphs: Application to collaborative filtering
The effect of automated taxa identification errors on biological indices
Fuzzy multiple attributes group decision-making based on fuzzy preference relations
A holistic approach for performance evaluation using quantitative and qualitative data: A food industry case study
A note on the relationship between market efficiency and adaptability - New evidence from artificial stock markets
Quantum-inspired neuro coevolution model applied to coordination problems
Social media's dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation
Learning persona-driven personalized sentimental representation for review-based recommendation
An emergent approach for the control of wastewater treatment plants by means of reinforcement learning techniques
BGaitR-Net: An effective neural model for occlusion reconstruction in gait sequences by exploiting the key pose information
A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks
Multi-level information fusion for spatiotemporal monitoring in water distribution networks
A knowledge-based system for the non-destructive diagnostics of façade isolation using the information fusion of visual and IR images
Online health-aware energy management strategy of a fuel cell hybrid autonomous mobile robot under startup-shutdown condition
Customer segmentation and strategy development based on customer lifetime value: A case study
A new fast fuzzy partitioning algorithm
Multi-objective sparrow search algorithm: A novel algorithm for solving complex multi-objective optimisation problems
Ontology-based fuzzy support agent for ship steering control
A machine learning-incorporated heuristic column generation algorithm for truck grouping and scheduling problem in trailer-swapping transport mode
Fine-grained reinforcement learning for natural language-based vehicle video clip retrieval
Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation
A peer-to-peer semantically-driven environment to distribute contents applied to the digital administration
Few-shot ICD coding with knowledge transfer and evidence representation
Make it personal: A social explanation system applied to group recommendations
Deep incomplete multi-view clustering via attention-based direct contrastive learning
Forecasting tourism stock index dynamics: a multiscale deep learning framework integrating emerging media data
Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments
An improved species based genetic algorithm and its application in multiple template matching for embroidered pattern inspection
An improved matrix factorization with local differential privacy based on piecewise mechanism for recommendation systems
Modeling vehicle U-turning behavior near intersections: A deep learning approach based on TCN and multi-head attention
Integrating computerized adaptive testing into UZWEBMAT: Implementation of individualized assessment module in an e-learning system
MFNet: Multiscale fusion network for Dongba character image inpainting
DSAMR: Dual-Stream Attention Multi-hop Reasoning for knowledge-based visual question answering
Adopting co-evolution and constraint-satisfaction concept on genetic algorithms to solve supply chain network design problems
Smoothing of ultrasound images using a new selective average filter
An expert recommendation model to electric projects based on KG2E and collaborative filtering
Liner shipping hub location and empty container repositioning: Use of foldable containers and container leasing
Experimental analysis of self-organizing team's behaviors
Identifying child abuse through text mining and machine learning
WABL method as a universal defuzzifier in the fuzzy gradient boosting regression model
Explicit potential function and fast algorithm for computing potentials in α×β conic surface resistor network
Unsupervised domain adaptation based fracture segmentation method for core CT images
Fuzzy decision support system for ship lock control
EduMiner: Using text mining for automatic formative assessment
EvoMapX: An explainable framework for metaheuristic optimization algorithms
Emotion on FPGA: Model driven approach
An empirical study of the relationships among employee's perceptions of HR practice, human capital, and department performance: A case of AT & T Subordinate telecoms company in Taiwan
EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Performance evaluation of Non-Uniform circular antenna array using integrated harmony search with Differential Evolution based Naked Mole Rat algorithm
A reinforcement learning-based two-stage NSGA-II for dynamic flexible job shop scheduling problem with transportation constraints considering participators' perception
A dynamic expert system to increase patient satisfaction with an integrated approach of system dynamics, ISM, and ANP methods
A new fuzzy MCDM approach based on centroid of fuzzy numbers
A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach
Intelligent multi-agent support for the contingency management system
Measuring actual daily volatility from high frequency intraday returns of the S&P futures and index observations
Ticket automation: An insight into current research with applications to multi-level classification scenarios
CRC-MRC: Reader Comments Augmented Machine Reading Comprehension for social emotion prediction
Colossal Trajectory Mining: A unifying approach to mine behavioral mobility patterns
An empirical study on effectiveness of temporal information as implicit ratings
Mining Web navigation patterns with a path traversal graph
An approach for robust decision making rule generation: Solving transport and logistics decision making problems
Variable neighborhood search for consistent vehicle routing problem
An entropy-driven expert system shell applied to portfolio selection
A short-term capacity trading method for semiconductor fabs with partnership
A community detection approach based on network representation learning for repository mining
A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification
Automated recognition and measurement of cellular and dendritic microstructures in alloys via machine learning
Prediction of chaotic time series using computational intelligence
Energy efficient scheduling and power control of massive MIMO in massive IoT networks
FMEA-based assessment of the battery swapping process in electric ships: A hybrid approach integrating fuzzy evidential reasoning and dynamic network VIKOR algorithm
Candidate point selection using a self-attention mechanism for generating a smooth volatility surface under the SABR model
A high speed railway control system based on the fuzzy control method
Sequence neural network for recommendation with multi-feature fusion
Rule sets based bilevel decision model and algorithm
An evolutionary game model for indirect data sharing in manufacturing big data consortium
Channel-correlation aware photovoltaic power forecasting framework based on multi-perspective modeling
RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification
Hybrid enhanced continuous tabu search and genetic algorithm for parameter estimation in colored noise environments
Computational intelligence approaches and linear models in case studies of forecasting exchange rates
Synthesis of fixed-structure robust controllers using a constrained particle swarm optimizer with cyclic neighborhood topology
Simulating student learning behaviors with LLM-based role-playing agents: A data-driven and cognitively inspired framework
Database optimization for novelty mining of business blogs
Graph discriminative dynamic sampling AdaBoost for imbalanced cardiovascular disease diagnosis
A DWT-SVD based adaptive color multi-watermarking scheme for copyright protection using AMEF and PSO-GWO
A virtual subnet scheme on clustering algorithms for mobile ad hoc networks
Memetic clonal selection algorithm with EDA vaccination for unconstrained binary quadratic programming problems
A volunteer allocation optimization model in response to major natural disasters based on improved Dempster-Shafer theory
Self-driving cars: A survey
Vibration control of beams with piezoelectric sensors and actuators using particle swarm optimization
A multi-objective meta-heuristic approach for the design and planning of green supply chains - MBSA
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
An unsupervised distance-based model for weighted rank aggregation with list pruning
Association rule-based classification: A comprehensive review of methodologies and applications
A multi-agent deep reinforcement learning driven adaptive construction and search algorithm for time-varying agile Earth observation satellite scheduling
CECLD: Classification error correction based on Levenshtein distance in DNA data storage
Early fault diagnosis of transformers based on relative deterioration analysis
BP-Model-based convoy mining algorithms for moving objects
Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems
Identification and removal of contaminants in sEMG recordings through a methodology based on Fuzzy Inference and Actor-Critic Reinforcement learning
Development of a plugin-based prototype for spatial explicit application of fuzzy multicriteria evaluation
Stability enhancement in hybrid microgrids: a dual approach using enhanced artificial physics and particle swarm optimization
Cooperative search for fair nurse rosters
A multi objective-BSC model for new product development project portfolio selection
Proposing a decision-making model using analytical hierarchy process and fuzzy expert system for prioritizing industries in installation of combined heat and power systems
SummCoder: An unsupervised framework for extractive text summarization based on deep auto-encoders
3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography