yusuke1997/dblp-id-title huggingface dataset:
OLC-WA: Drift aware tuning-free online classification with weighted average
A time-efficient optimization for robust image watermarking using machine learning
The home health care location-routing problem with a mixed fleet and battery swapping stations using a competitive simulated annealing algorithm
Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry
Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer
Iris recognition using artificial neural networks
An artificial bee colony approach for clustering
Audience targeting by B-to-B advertisement classification: A neural network approach
A Bayesian approach for object classification based on clusters of SIFT local features
Improved MOEA/D with local search for solving multi-stage distributed reentrant hybrid flow shop scheduling problem
A semantic approach for text clustering using WordNet and lexical chains
An adaptive bandwidth reservation scheme for 4G cellular networks using flexible 2-tier cell structure
Directed Acyclic Graph networks to characterize phase space evolution with application to musical composition and industrial maintenance
An XML based supply chain integration hub for green product lifecycle management
Adaptive division of labor particle swarm optimization
A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem
Efficient and privacy-preserved link prediction via condensed graphs
A new evolutionary algorithm for non-linear economic dispatch
Social4Fashion: An intelligent expert system for forecasting fashion trends from social media contents
Tag tree template for Web information and schema extraction
Image vector quantization algorithm via honey bee mating optimization
A semantic complement to enhance electronic market
Optimizing the COVID-19 cold chain vaccine distribution network with medical waste management: A robust optimization approach
A hybrid optimization algorithm and its application in flight trajectory prediction
An estimating combination method for interval forecasting of electrical load time series
Bridging the reality gap: A benchmark for physical reasoning in general world models with various physical phenomena beyond mechanics
Multi-threaded power flow of large-scale active multiphase distribution networks
Causal-inspired learning-based method for unbiased pest recognition
A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition
Stepwise benchmarking based on production function: Selecting path towards closest target
A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem
On persuasion in spam email: A multi-granularity text analysis
Relevant subspace search for outlier detection on massive data
A new tool for automated transformation of Quadratic Assignment Problem instances to Quadratic Unconstrained Binary Optimisation models
Content adaptive spatial-temporal rescaling for video coding optimization
Theoretical model and implementation of a real time intelligent bin status monitoring system using rule based decision algorithms
Distributed edge signal control for cooperating pre-planned connected automated vehicle path and signal timing at edge computing-enabled intersections
Bias effect on predicting market trends with EMD
A decentralized adaptive method with consensus step for non-convex non-concave min-max optimization problems
Joint optimization of train timetable and passing facility: A capacity allocation strategy
Knowledge-guided object detection via Bayesian networks and knowledge graphs (KGBNCNet)
Modeling Second Language Acquisition with pre-trained neural language models
Towards explainable automatic punctuation restoration for Portuguese using transformers
A decision making system to automatic recognize of traffic accidents on the basis of a GIS platform
Enhancing the Benefit of the Doubt model through 'Ensemble-DEA': achieving the Sustainable Development Goals
Imputation for incomplete data based on granulated single output neural network group
A hybrid grouping genetic algorithm for assigning students to preferred laboratory groups
Exemplar based Laplacian Discriminant Projection
Mining stock category association and cluster on Taiwan stock market
Mining changes in customer buying behavior for collaborative recommendations
A highly secure oblivious sparse coding-based watermarking system for ownership verification
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks
Union-Redefined Prototype Network for scene graph generation
Discovering process models from event multiset
DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects
A rough set-based Competitive Intelligence approach for anticipating competitor's action
An automatic acoustic bat identification system based on the audible spectrum
An improved multi-population genetic algorithm with a greedy job insertion inter-factory neighborhood structure for distributed heterogeneous hybrid flow shop scheduling problem
ERP data sharing framework using the Generic Product Model (GPM)
Online tuning gain scheduling MIMO neural PID control of the 2-axes pneumatic artificial muscle (PAM) robot arm
Positioning strategic competitiveness of green business innovation capabilities using hybrid method
Tensor analysis with n-mode generalized difference subspace
Scheduling jobs in flowshops with the introduction of additional machines in the future
Support vector machine method on predicting resistance gene against Xanthomonas oryzae pv. oryzae in rice
A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems
TCDformer-based momentum transfer model for long-term sports prediction
Co-DIRECT: A knowledge-augmented multi-agent framework for interactive drama script generation
A dynamic term discovery strategy for automatic speech recognizers with evolving dictionaries
Mining free-structured information based on hidden Markov models
River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation
Attention-based skill translation models for expert finding
Optimization of optical lens-controlled scanning electron microscopic resolution using generalized regression neural network and genetic algorithm
Hierarchical deep multi-modal network for medical visual question answering
A novel Elman neural network based on Gaussian kernel and improved SOA and its applications
Machine Learning Algorithms and Fine Art Pricing: Comparative performance to regression results for the South African market, 2009-22
An adaptive fusion algorithm based on ANFIS for radar/infrared system
Transferring auditors?? internal control evaluation knowledge to management
MultiD-CNN: A multi-dimensional feature learning approach based on deep convolutional networks for gesture recognition in RGB-D image sequences
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization
Multi-time Scale Attention Network for WEEE reverse logistics return prediction
A data fusion system of GNSS data and on-vehicle sensors data for improving car positioning precision in urban environments
Two-level classifier ensembles for credit risk assessment
GA based CBR approach in Q&A system
Automated knowledge-based analysis and classification of stellar spectra using fuzzy reasoning
Analysing the spatial dimension of eye movement data using a visual analytic approach
Eye gaze estimation: A survey on deep learning-based approaches
Induction motors bearing fault detection using pattern recognition techniques
iHQGAN: A lightweight invertible hybrid quantum-classical generative adversarial networks for unsupervised image-to-image translation
Improving authentication accuracy using artificial rhythms and cues for keystroke dynamics-based authentication
Satellite-based and mesoscale regression modeling of monthly air and soil temperatures over complex terrain in Turkey
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
FGRMNet: Fully graph relational matching network for few-shot remote sensing scene classification
When graph neural networks meet deep nonnegative matrix factorization: An encoder and decoder-like method for community detection
Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems
Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields
Modeling for delay of risk propagation in divisible project portfolio selection based on the project interaction
An investor sentiment reward-based trading system using Gaussian inverse reinforcement learning algorithm
Distributed version of hybrid swarm intelligence-Nelder Mead algorithm for DOA estimation in WSN
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds
Unusual customer response identification and visualization based on text mining and anomaly detection
Hierarchical attention-driven multimodal local to global learning framework for enhanced drug-target interaction prediction
Corrigendum to "MACE-SCM: A multi-agent and case-based reasoning collaboration mechanisms for supply chain management under supply and demand uncertainties" [Expert Systems with Applications 33 (3) (2007) 690-705]
O3PO: A domain ontology for offshore petroleum production plants
r-Theta and orientation invariant transform and signal combining for fingerprint recognition
A 2-phase constructive algorithm for cumulative vehicle routing problems with limited duration
A normal cloud model-based decision making method under multi-granular probabilistic linguistic environment for evaluating of wetland ecosystem services
Dynamic, fair, and efficient routing for cooperative autonomous vehicle fleets
Local Models for data-driven learning of control policies for complex systems
On the value of imbalance loss functions in enhancing deep learning-based vulnerability detection
A multi-agent system model of a diesel engine using rule induction
Electricity price estimation using deep learning approaches: An empirical study on Turkish markets in normal and Covid-19 periods
Deep discriminative domain adaptation network considering sampling frequency for cross-domain mechanical fault diagnosis
Image based diagnostic aid system for interstitial lung diseases
Evolutionary algorithm hybridized with local search and intelligent seeding for solving multi-objective Euclidian TSP
A multiple-input fluid queue model for performance evaluation of fog server in an intelligent vehicular network
Comparison of text feature selection policies and using an adaptive framework
Designing a steady-state experimental dataset for predicting transient NO x emissions of diesel engines via deep learning
The modeling of mode choices of intercity freight transportation with the artificial neural networks and adaptive neuro-fuzzy inference system
Few-shot learning-based human activity recognition
A narrative-based reasoning with applications in decision support for social service organizations
Exploiting knowledge graph communities to fine-tune large language models
Implementation of a scalable decision forest model based on information theory
An ensemble imbalanced classification method based on model dynamic selection driven by data partition hybrid sampling
Corrigendum to "Wavelet denoising using principal component analysis" [Expert Systems with Applications 38 (2011) 1073-1076]
Pedestrian detection for intelligent transportation systems combining AdaBoost algorithm and support vector machine
Integration of strategic and operational attributes to calculate the optimal cultivation of crops
A two-stage algorithm in evolutionary product unit neural networks for classification
Utility-preserving differentially private skyline query
Knowledge acquisition method from domain text based on theme logic model and artificial neural network
FedHNR: Federated hierarchical resilient learning for echocardiogram segmentation with annotation noise
CLEAR: Graph contrastive learning with electrostatic self-adaptive repulsion
DeFiTrust: A transformer-based framework for scam DeFi token detection using event logs and sentiment analysis
Cerberus: Attribute-based person re-identification using semantic IDs
LLMOverTab: Tabular data augmentation with language model-driven oversampling
Conflicting treatment model for certainty rule-based knowledge
A feature selection method based on kernel canonical correlation analysis and the minimum Redundancy-Maximum Relevance filter method
ClawGAN: Claw connection-based generative adversarial networks for facial image translation in thermal to RGB visible light
A novel efficient approach for DFMEA combining 2-tuple and the OWA operator
M 2 SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning
Guidance for goal achievement in knowledge-intensive processes using intuitionistic fuzzy sets
A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal
Towards defining dimensions of knowledge systems quality
Control based on techno-economic optimization of renewable hybrid energy system for stand-alone applications
LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness
Peer recommendation in dynamic attributed graphs
Immersive virtual reality as a tool to improve bridge teaching communication
Providing embedded proactive task support for diagnostic jobs: a neural network-based approach
A knowledge-based decision support system to improve sow farm productivity
Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction
A recent overview of the state-of-the-art elements of text classification
A survey of the state-of-the-art of optimisation methodologies in school timetabling problems
Cross-correlation aided support vector machine classifier for classification of EEG signals
A CNN-based multi-task framework for weather recognition with multi-scale weather cues
Knowledge discovery and visualisation framework using machine learning for music information retrieval from broadcast radio data
An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector
An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection
Software maintenance project delays prediction using Bayesian Networks
SiamCA: Siamese visual tracking with customized anchor and target-aware interaction
Multi-agent framework for third party logistics in E-commerce
The short-time airport departure passenger volume prediction models based on aggregating information and flight feature similarity
An enhanced heuristic framework for solving the Rank Pricing Problem
Contrastive prior enhances the performance of Bayesian neural network-based molecular property prediction
APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer
COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism
Intelligent visual servoing with extreme learning machine and fuzzy logic
Application of improved genetic algorithm to vehicle routing problem considering the environmental self-regulation of the freight companies
Inference analysis and adaptive training for belief rule based systems
Machine-learning-assisted classification of construction and demolition waste fragments using computer vision: Convolution versus extraction of selected features
A multi-echelon fish closed-loop supply chain network problem with carbon emission and traceability
Optimum profit model based on order quantity, product price, and process quality level
Automating dimensional tolerancing using Ripple down Rules (RDR)
Corrigendum to "Performance Analysis of Classification Algorithms on early detection of Liver disease" [Expert Systems with Applications Volume 67 (2017) 239-251]
Verifying conformance of multi-agent commitment-based protocols
Unified link prediction modeling for enhanced knowledge graph completion task
Analysis of overall technical efficiency, pure technical efficiency and scale efficiency in the medium-sized audit firms
FGS-FL: Enhancing federated learning with differential privacy via flat gradient stream
A model based on 2-tuple fuzzy linguistic representation and Analytic Hierarchy Process for supplier segmentation using qualitative and quantitative criteria
Green vehicle routing using mixed fleets for cold chain distribution
DAMGO: Dynamic adaptive multi-graph optimization and fusion for multimodal recommendation
Intelligent automatic overtaking system using vision for vehicle detection
Agent co-ordination aided distributed computational engineering design
AI-driven 5G-IoT optimization: Q-learning for real-time energy and network resource management
Using the Taguchi method for effective market segmentation
Imperceptibility - Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization
Combining subjective and objective QoS factors for personalized web service selection
TransEHR: Alignment-free electronic health records continual learning across feature spaces
FLPA: A fast label propagation algorithm for detecting overlapping community structure
A case-based reasoning approach for land use change prediction
Active viral marketing: Incorporating continuous active seeding efforts into the diffusion model
Weekly train timetabling integrating stop planning for high-speed rail lines
Deep VULMAN: A deep reinforcement learning-enabled cyber vulnerability management framework
Parsimonious fuzzy time series modelling
Classification of overcurrent and inrush current for power system reliability using Slantlet transform and artificial neural network
TDR: Two-stage deep recommendation model based on mSDA and DNN
A novel teacher-student hierarchical approach for learning primitive information
A novel governing equation for shale gas production prediction via physics-informed neural networks
A novel deep policy gradient action quantization for trusted collaborative computation in intelligent vehicle networks
Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems
Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk
A goal programming-TOPSIS approach to multiple response optimization using the concepts of non-dominated solutions and prediction intervals
Recognizing pilot emotional State: An approach based on multimodal data
Optimal bipartite scorecards
FWLMkNN: Efficient functional K-nearest neighbor based on clustering and functional data analysis
An analysis of the security of multi-area power transmission lines using fuzzy-ACO
An improved end-to-end micro-expression recognition system for real-world videos via dual-input CNN architecture
An efficient algorithm for unique class association rule mining
Two-stage updating pheromone for invariant ant colony optimization algorithm
Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network
Multidimensional hierarchical classification
Chance-constrained programming on sugeno measure space
A novel pulmonary emphysema detection using Seg-ResUnet-based abnormality segmentation and enhanced heuristic algorithm-aided deep learning
Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics
Humanoid robot path planning using memory-based gravity search algorithm and enhanced differential evolution approach in a complex environment
A generalized line segmentation method for multi-script handwritten text documents
Topic correlation and individual influence analysis in online forums
Predicting the exchange traded fund DIA with a combination of genetic algorithms and neural networks
JEETuningExpert: A software assistant for improving Java Enterprise Edition application performance
A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy
Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes
A method for calculation of optimum data size and bin size of histogram features in fault diagnosis of mono-block centrifugal pump
A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
DMFN: A disentangled multi-level fusion network for review helpfulness prediction
Self-Supervised pre-training model based on Multi-view for MOOC Recommendation
Adaptive talent journey: Optimization of talents' growth path within a company via Deep Q-Learning
Fuzzy linear regression based on Polynomial Neural Networks
ADMNet: An adaptive downsampling multi-frequency multi-channel network for long-term time series forecasting
A clustering based approach for skyline diversity
Gas turbine failure classification using acoustic emissions with wavelet analysis and deep learning
Enhancing fruit disease classification with an advanced 3D shallow deep neural network for precise and efficient identification
WiSigPro: Transformer for elevating CSI-based human activity recognition through attention mechanisms
Research on the application of knowledge mapping and knowledge structure construction based on adaptive learning model
Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization
Formal Concept Analysis in knowledge processing: A survey on models and techniques
Intelligent broadcasting system and services for personalized semantic contents consumption
A case study of innovative population-based algorithms in 3D modeling: Artificial bee colony, biogeography-based optimization, harmony search
Proximity measures for link prediction based on temporal events
Low-latency perception in off-road dynamical low visibility environments
Deep neural network-based multi-stakeholder recommendation system exploiting multi-criteria ratings for preference learning
Efficiency decomposition approach: A cross-country airline analysis
Note on a new optimization based approach for estimating priority weights and related consistency index
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory
Optimizing fog colony layout and service placement through genetic algorithms and hierarchical clustering
Metric meta-learning and intrinsic Riemannian embedding for writer independent offline signature verification
An Intelligent Embedded Marketing Service System based on TV apps: Design and implementation through product placement in idol dramas
SrSNet: Accurate segmentation of stroke lesions by a two-stage segmentation framework with asymmetry information
A neuro-fuzzy based forecasting approach for rush order control applications
Mining top-k regular-frequent itemsets using database partitioning and support estimation
Leveraging graph neural network for learner performance prediction
Multi-outsourcing supply chain coordination under yield and demand uncertainties
A hierarchical ORCA framework for Multi-UAV navigation in unstructured environments with velocity optimization and local minima avoidance
Cross-Modal Pixel-and-Stroke representation aligning networks for free-hand sketch recognition
Semantic Preservation-Based Hash Code Generation for fine-grained image retrieval
Triaxial behavior of sand-mica mixtures using genetic programming
A dictionary-guided attention network for biomedical named entity recognition in Chinese electronic medical records
How is language intelligence evolving? A multi-dimensional survey of large language models