yusuke1997/dblp-id-title huggingface dataset:
A novel neural network with simple learning algorithm for islanding phenomenon detection of photovoltaic systems
Recognizing white blood cells with local image descriptors
An ear biometric system based on artificial bees and the scale invariant feature transform
Improved crow search algorithm for optimal flexible manufacturing process planning
Evaluation of wave energy converters based on integrated ELECTRE approach
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices
FuzzyArcLoss: Dynamic margin adjustment for robust recognition across domains
1D-CNNs model for classification of sputum deposition degree in mechanical ventilated patients based on airflow signals
Neural network forecasting of news feeds
Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation
SafeFac : Video-based smart safety monitoring for preventing industrial work accidents
A hybrid information security risk assessment procedure considering interdependences between controls
Content-based hierarchical document organization using multi-layer hybrid network and tree-structured features
Fuzzy expert system for the detection of episodes of poor water quality through continuous measurement
Double embedding-transfer-based multi-view spectral clustering
A procedural framework for dynamic changes of human interactions in knowledge intensive services
Adaptive event-triggered PID load frequency control for multi-area interconnected wind power systems under aperiodic DoS attacks
On the differential benchmarking of promotional efficiency with machine learning modelling (II): Practical applications
Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites
Comparing cost sensitive classifiers by the false-positive to false- negative ratio in diagnostic studies
Pro Trader RL: Reinforcement learning framework for generating trading knowledge by mimicking the decision-making patterns of professional traders
CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns
Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors
A Multi-objective, simulation-based optimization framework for supply chains with premium freights
An advanced GA-VNS combination for multicriteria route planning in public transit networks
Predicting published news effect in the Brazilian stock market
Improving classification accuracy using data augmentation on small data sets
A novel technique to identify AIS transmissions from vessels which attempt to obscure their position by switching their AIS transponder from normal transmit power mode to low transmit power mode
A high order fractal-based Kullback-Leibler divergence with application in classification
On the feasibility of using an autonomic control loop and automated planning for tenant-oriented reconfiguration of network slices
Efficient congestion-aware routing in MANETs using quantum self-attention and optimized siamese network
Development of an adaptive chaotic fuzzy neural network controller for mitigating seismic response in a structure equipped with an active tuned mass damper
A parallel fuzzy clustering algorithm for large graphs using Pregel
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration
Role defining using behavior-based clustering in telecommunication network
A prediction model for success of services in e-commerce using decision tree: E-customer's attitude towards online service
A data trading scheme based on blockchain and game theory in federated learning
TechNet: Technology semantic network based on patent data
A survey of neural network segmentation and validation on plant specimen images of Korean Violaceae
A sensor deployment approach using glowworm swarm optimization algorithm in wireless sensor networks
Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification
Bankruptcy prediction using imaged financial ratios and convolutional neural networks
The evolution of rules for conflicts resolution in self-organizing teams
An ensemble approach for enhanced Day-Ahead price forecasting in electricity markets
The design and implementation of a competency-based intelligent mobile learning system
An artificial neural networks approach on automobile pricing
Optimizing market-making strategies: A multi-objective reinforcement learning approach with pareto fronts
Repeatability index: A functional metric assessing intra-regime variability in helicopters
A multi-agent conversational system with heterogeneous data sources access
Autogenerator: Generation and execution of programming code on demand
Entity reconciliation in big data sources: A systematic mapping study
An evolutionary computation approach for designing mobile ad hoc networks
FUCOM-optimization based predictive maintenance strategy using expert elicitation and Artificial Neural Network
Backcalculation of pavement layer moduli and Poisson's ratio using data mining
Novel multiple color images encryption and decryption scheme based on a bit-level extension algorithm
Multi-view syntax-semantics information bottleneck for dependency-driven relation extraction
Enhancing trustworthiness among iot network nodes with ensemble deep learning-based cyber attack detection
Forecasting air quality Index in yan'an using temporal encoded Informer
New roughness measures of the interval-valued fuzzy sets
Fuzzy-genetic approach to recommender systems based on a novel hybrid user model
Discovering shapelets with key points in time series classification
Improve retinal artery/vein classification via channel coupling
A mathematical programming approach to multi-attribute decision making with interval-valued intuitionistic fuzzy assessment information
Enhancing stock market Forecasting: A hybrid model for accurate prediction of S&P 500 and CSI 300 future prices
Ranking multiple-input and multiple-output units: A comparative study of data envelopment analysis and rank aggregation
An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc
No free lunch but a cheaper supper: A general framework for streaming anomaly detection
SoHyFIS-Yager: A self-organizing Yager based Hybrid neural Fuzzy Inference System
A novel similarity/dissimilarity measure for intuitionistic fuzzy sets and its application in pattern recognition
A lightweight dense crowd density estimation network for efficient compression models
SIKey: A tool to generate secondary identification keys for targeted diagnosis
Hybrid image analysis model for hashtag recommendation through the use of deep learning methods
An approach to aggregating interval numbers into interval-valued intuitionistic fuzzy information for group decision making
Using hybrid data mining and machine learning clustering analysis to predict the turnover rate for technology professionals
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation
Few-shot font generation via stroke prompt and hierarchical representation learning
Detection of illicit accounts over the Ethereum blockchain
Decision support for the maintenance management of green areas
Dynamic community detection including node attributes
Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm
Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification
FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation
Efficient mining of salinity and temperature association rules from ARGO data
Empirical study on influence of critical success factors on ERP knowledge management on management performance in high-tech industries in Taiwan
A personalized recommendation system based on product taxonomy for one-to-one marketing online
Improving DEA cross-efficiency optimization in portfolio selection
An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms
A Carnivorous plant algorithm with Lévy mutation and similarity-removal operation and its applications
An unsupervised topic-sentiment joint probabilistic model for detecting deceptive reviews
Classification of alcohol, drugs and sleepiness condition using periocular iris images to evaluate fitness for duty
Short-term traffic flow prediction based on deep learning approach with inter-day and intra-day strategies
Mutual learning with discrepancy for weakly supervised object detection
A generalized framework for recognition of expiration dates on product packages using fully convolutional networks
Enhancement of robustness of face recognition system through reduced gaussianity in Log-ICA
Dynamic inventory optimization for three-warehouse: Balancing freshness-driven demand and preservation investments
Ship scheduling problem based on channel-lock coordination in flood season
LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems
Towards end-to-end deep RNN based networks to precisely regress of the lettuce plant height by single perspective sparse 3D point cloud
Information entropy peaks clustering using dynamic reverse nearest neighbor sequence and 3D decision graph
Multi-faceted dynamic flexible job shop scheduling via heterogeneous graph transformer and deep reinforcement learning
Computer-aided diagnosis of pituitary microadenoma on dynamic contrast-enhanced MRI based on spatio-temporal features
Analytical pricing formulae for variance and volatility swaps with a new stochastic volatility and interest rate model
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Multi-view dynamic graph convolution neural network for traffic flow prediction
A brain-inspired information processing algorithm and its application in text classification
Learning concept hierarchies from textual resources for ontologies construction
Determination of optimal price and quantity in a two-echelon supply chain model with promotional effort and feedback effect in stochastic scenario
Automatic ocular version evaluation in images using random forest
3D mesh encryption with differentiated visual effect and high efficiency based on chaotic system
EL-NRF: Enhancing ensemble learning for regression with a noise reduction framework
A scenario-based modeling method for controlling ECM performance
Temperature prediction and TAIFEX forecasting based on high-order fuzzy logical relationships and genetic simulated annealing techniques
Credit scoring algorithm based on link analysis ranking with support vector machine
Dilated dendritic learning of global-local feature representation for medical image segmentation
Overcoming time delays challenges: Decomposition-Reconstruction approaches for time-series TBM performance predictions
Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition
Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy
Tactical planning of the wind turbine manufacturing supply chain: modeling, solution methods, and real case study
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics
Sustainability takes flight: A hybrid approach to optimizing air cargo routes
Enhancing air traffic control: A transparent deep reinforcement learning framework for autonomous conflict resolution
A transgenetic algorithm applied to the Traveling Car Renter Problem
New features for customer classification in the Flying Sidekick Traveling Salesman Problem
A comparative study of cross-lingual sentiment analysis
MARAN: Supporting awareness of users' routines and preferences for next POI recommendation based on spatial aggregation
Palm extraction and identification
Corrigendum to "Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks" [Expert Systems with Applications 34/1 (2008) 665-672]
Corrigendum to "A novel minutiae triangulation technique for non-invertible fingerprint template generation" [Expert Syst. Appl. 186 (2021) 115832]
Discriminate2Rec: Negation-based dynamic discriminative interest-based preference learning for semantics-aware content-based recommendation
An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
HyperShield: A personalized hypernetwork-based defense against poisoning attacks in federated learning for healthcare
Sensor fusion of a railway bridge load test using neural networks
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters
A hybrid CNN + BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
A novel real-time quality control system for 3D printing: A deep learning approach using data efficient image transformers
CIoEBT: cancelable internet of ear biometric things based - a novel deep metric learning approach
Fraud detection in capital markets: A novel machine learning approach
Regularized least squares fuzzy support vector regression for financial time series forecasting
Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
An adaptive algorithm for clustering cumulative probability distribution functions using the Kolmogorov-Smirnov two-sample test
Representing and reasoning on fuzzy UML models: A description logic approach
Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
A hybrid optimization algorithm for improving load frequency control in interconnected power systems
Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data
Hybrid structural graph attention network for POI recommendation
Hybrid multi-agent architecture as a real-time problem-solving model
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Development of a drowsiness warning system based on the fuzzy logic images analysis
Real-time estimation of the road adhesion coefficient under Non-Gaussian noise: An adaptive method based on cross-domain fusion of images and vehicle dynamics
A framework of active learning and semi-supervised learning for lithology identification based on improved naive Bayes
Application of neuro-fuzzy networks to forecast innovation performance - The example of Taiwanese manufacturing industry
Multi-objective Pigeon-inspired Optimized feature enhancement soft-sensing model of Wastewater Treatment Process
Imbalanced ensemble learning in determining Parkinson's disease using Keystroke dynamics
Joint aspect terms extraction and aspect categories detection via multi-task learning
Prototype-Optimized unsupervised domain adaptation via dynamic Transformer encoder for sensor drift compensation in electronic nose systems
Full-view salient feature mining and alignment for text-based person search
Goals, values, and reasoning
Synergetic attention-driven transformer: A deep reinforcement learning approach for vehicle routing problems
A new Chance-Variance optimization criterion for portfolio selection in uncertain decision systems
Estimating the shift size in the process mean with support vector regression and neural networks
A review on the applications of type-2 fuzzy logic in classification and pattern recognition
GoFish: A customizable open-source chess engine in Go
Housing price forecasting based on genetic algorithm and support vector machine
A gradient ascent algorithm based on possibilistic fuzzy C-Means for clustering noisy data
Symbiotic evolution-based design of fuzzy-neural diagnostic system for common acute abdominal pain
A comprehensive survey on techniques for numerical similarity measurement
Selecting workers like expert for crowdsourcing by integration evaluation of individual and collaborative abilities
Computational drug repositioning using collaborative filtering via multi-source fusion
An agent-based distributed computational experiment framework for virtual supply chain network development
Aseismic ability estimation of school building using predictive data mining models
Inter-star: A modified multi A-star approach for inter-reconfigurable robots
EPKO: Enhanced pied kingfisher optimizer for numerical optimization and engineering problems
Performance enhancing ZNN models for time-variant equality-constraint convex optimization solving: A transition-state based attracting system approach
PET: An expert system for productivity analysis
Multi-view universum support vector machines with insensitive pinball loss
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm
BiGRU-DP: Improved differential privacy protection method for trajectory data publishing
Q-rung orthopair fuzzy decision-making method of multi-source information based on the compression mapping and inverse score function
Improving stock index forecasts by using a new weighted fuzzy-trend time series method
Feature structure distillation with Centered Kernel Alignment in BERT transferring
A fuzzy extended DELPHI method for adjustment of statistical time series prediction: An empirical study on dry bulk freight market case
Many-objective optimization of harmonic-polluted power distribution network based on fuzzy ranking
Railway rolled steel stowage planning problem considering transport efficiency and loading balance: An improved deep Q-network combined with ALNS
UAV-aided bridge inspection protocol through machine learning with improved visibility images
Enhanced stock price forecasting through a regularized ensemble framework with graph convolutional networks
An artificial immune systems approach to Case-based Reasoning applied to fault detection and diagnosis
Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks
Development of a semantic-based content mapping mechanism for information retrieval
Leveraging preference disaggregation for context-dependent adaptive multi-criteria sorting with incomplete information
CWFAS-Net: Low-light image enhancement using curvelet wavelet Attention and Fourier Transform
A new method for building adaptive Bayesian trees and its application in color image segmentation
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms
Integrated task assignment and path planning for Collision-Minimizing multiple Automated guided vehicles scheduling
What is the best grid-map for self-driving cars localization? An evaluation under diverse types of illumination, traffic, and environment
Data mining for fuzzy diagnosis systems in LTE networks
Tolerance framework for robust group multiple criteria decision making
An ontological Proxy Agent with prediction, CBR, and RBR techniques for fast query processing
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Benchmarking intelligent information integration - A generic construct-based model
Mining tourist imagery to construct destination image position model
Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback
The role of utilitarian and hedonic values and their antecedents in a mobile data service environment
Ontologies application in organizational learning: A literature review
Unsupervised event detection and classification of multichannel signals
Supply chain design: A holistic approach
Assessment of E-Commerce security using AHP and evidential reasoning
A blockchain-based approach to smart cargo transportation using UHF RFID
Semi-Blind watermarking using convolutional attention-based turtle shell matrix for tamper detection and recovery of medical images
Summarizing dynamic Social Tagging Systems
A state-of-the-art survey of evaluation based on distance from average solution (EDAS): Developments and applications
Automatic multi-objective clustering based on game theory
Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets
IRW-MEF: Informative random walk for multi-exposure image fusion
Graph neural networks via contrast between separation and aggregation for self and neighborhood
A multi-agent system for FJSP with setup and transportation times
Physics-informed semi-supervised learning for hot-rolled strip flatness pattern recognition based on FixMatch method
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market
Turbine stage design aided by artificial intelligence methods
Classifying and resolving software product line redundancies using an ontological first-order logic rule based method
Predicting the financial crisis by Mahalanobis-Taguchi system - Examples of Taiwan's electronic sector
A systematic evaluation of filter Unsupervised Feature Selection methods
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling
Uncertainty mode selection in categorical clustering using the rough set theory
A game theoretical model for collaborative groups in social applications
An approximate method to compute a sparse graph for traveling salesman problem
Ontology-based knowledge management for joint venture projects
Location-allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach
Bayesian game model based unsupervised sentiment analysis of product reviews
Enhancing Steady-State power flow optimization in smart grids with a hybrid converter using GBDT-HBA technique
CIR-DFENet: Incorporating cross-modal image representation and dual-stream feature enhanced network for activity recognition
A novel high performance in-situ training scheme for open-loop tuning of the memristor neural networks
Enabling situation awareness with supply chain event management
AGWO: Advanced GWO in multi-layer perception optimization
Forecasting trends of high-frequency KOSPI200 index data using learning classifiers
An intelligent strategy for the automatic detection of highlights in tennis video recordings
MDF-DMC: A stock prediction model combining multi-view stock data features with dynamic market correlation information
Big data analytics for default prediction using graph theory
A load-balanced distributed parallel mining algorithm
Analyzing syntactic constructs of Java programs with machine learning
Automatic understanding of sketch maps using context-aware classification
Intelligent multi-stakeholder environmental management
Fixed-sum data envelopment analysis efficiency evaluation with network parallel structure under decentralized and centralized scenarios
A novel spatial temporal neural hierarchical architecture for long-term multi-city air quality prediction
Automated acoustic detection of Vanellus chilensis lampronotus
Research on improving the robustness of spatially embedded interdependent networks by adding local additional dependency links
Computer-aided machine-tool selection based on a Fuzzy-AHP approach
On simulation and optimization of one natural gas industry system under the rough environment
Applying ontology learning and multi-objective ant colony optimization method for focused crawling to meteorological disasters domain knowledge