yusuke1997/dblp-id-title huggingface dataset:
The use of radial basis function networks (RBFN) to predict critical water parameters in desalination plants
Multi-population dynamic grey wolf optimizer based on dimension learning and Laplace Mutation for global optimization
Flash mobs, Arab Spring and protest movements: Can we analyse group identities in online conversations?
Automatically constructing grade membership functions of fuzzy rules for students' evaluation
A multi-objective problem based on fuzzy inference with application to parametric design of an electrophotographic system
Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection
Pet analytics: Predicting adoption speed of pets from their online profiles
Observer-based command filtered adaptive fuzzy control for fractional-order MIMO nonlinear systems with unknown dead zones
Pig-vet: a web-based expert system for pig disease diagnosis
Spatiotemporal online fuzzy modeling with knowledge-driven differential evolution automatic clustering for distributed parameter systems
Tuning metaheuristics: A data mining based approach for particle swarm optimization
Measurement method of three-dimensional profiles of small lens with gratings projection and a flexible compensation system
Automation of software test data generation using genetic algorithm and reinforcement learning
An approach for the integration of swarm intelligence in MAS: An engineering perspective
Optimal integration of electricity supply chain and sustainable closed-loop supply chain
DFF-Net: An intelligent recognition network with high precision for unbalanced flight regimes of unmanned aerial vehicles
Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization
An optimization model of the portfolio adjusting problem with fuzzy return and a SMO algorithm
Landmark detection from mobile life log using a modular Bayesian network model
Ant inspired Monte Carlo algorithm for minimum feedback arc set
Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion
Video-to-video face authentication system robust to pose variations
The benefit of prediction: Enabling collaboration of system of systems with learning
Artificial neural network-based model for predicting VO 2 max from a submaximal exercise test
Sectoral recommendation system for medium term investment using technical indicators
A new experiential learning electromagnetism-like mechanism for numerical optimization
The persistence of efficiency
An improved algorithm for support vector clustering based on maximum entropy principle and kernel matrix
Question answering with a conceptual framework for knowledge-based system development "Node of Knowledge"
A cooperative system for metaheuristic algorithms
Path relinking for the vertex separator problem
EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media
Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model
Genetic algorithms for single machine scheduling with time-dependent deterioration and rate-modifying activities
An expert system for job matching of the unemployed
An intelligent driver location system for smart parking
Personalized E-learning system with self-regulated learning assisted mechanisms for promoting learning performance
Adaptive 3D facial action intensity estimation and emotion recognition
Towards more accurate and interpretable model: Fusing multiple knowledge relations into deep knowledge tracing
Robust outlier detection based on the changing rate of directed density ratio
Robust ear based authentication using Local Principal Independent Components
Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach
A self-organizing feature map-driven approach to fuzzy approximate reasoning
An enhanced fitness function to recognize unbalanced human emotions data
An ontology for managing network services quality
Adaptive two-player videogames
A novel multimodal communication framework using robot partner for aging population
Analog circuit sizing based on Evolutionary Algorithms and deep learning
Using the extension of DEMATEL to integrate hotel service quality perceptions into a cause-effect model in uncertainty
Unsupervised underwater image restoration via Koschmieder model disentanglement
Extracting sentiment knowledge from pros/cons product reviews: Discovering features along with the polarity strength of their associated opinions
Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Corrigendum "Ontology based personalized route planning system using a multi-criteria decision making approach" [Experts Systems with Applications 36 (2P1) (2009) (1695-1705)]
An adaptive pixel value ordering based reversible data hiding scheme for images
An attitude-driven web consensus support system for heterogeneous group decision making
A deep reinforcement learning method based on Hindsight experience replay for multi-objective dynamic job-shop scheduling problem
Knowledge management system on flow and water quality modeling
Driver identification based on voice signal using continuous wavelet transform and artificial neural network techniques
Multiclass support vector machines for diagnosis of erythemato-squamous diseases
Generic title labeling for clustered documents
High utility pattern mining over data streams with sliding window technique
A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
Is neural always better? SMT versus NMT for Dutch text normalization
HO-DQLN: Hybrid optimization-based deep Q-learning network for optimizing QoS requirements in service oriented model
Strategic promotion decisions of competing mobile application suppliers in Stackelberg game context
Using Ant Colony Optimization algorithm for solving project management problems
Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data
Portable hand motion classifier for multi-channel surface electromyography recognition using grey relational analysis
Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach
An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems
A noninvasive prenatal test pipeline with a well-generalized machine-learning approach for accurate fetal trisomy detection using low-depth short sequence data
A multi-objective migrating birds optimization algorithm based on game theory for dynamic flexible job shop scheduling problem
Cost-based analysis and optimization of distributed generations and shunt capacitors incorporated into distribution systems with nonlinear demand modeling
Consistency and consensus driven for hesitant fuzzy linguistic decision making with pairwise comparisons
SDELP-DDPG: Stochastic differential equations with Lévy processes-driven deep deterministic policy gradient for portfolio management
Value creation potential of individual and organizational memory in health care services
Bhattacharyya distance based concept drift detection method for evolving data stream
Automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN
Fault diagnosis of electric railway traction substation with model-based relation guiding algorithm
Fast mining Top-Rank-k frequent patterns by using Node-lists
A new genetic algorithm for the asymmetric traveling salesman problem
A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms
An exploration of the key determinants for the application of AI-enabled higher education based on a hybrid Soft-computing technique and a DEMATEL approach
Predicting employee attrition and explaining its determinants
LLM-AE-MP: Web Attack Detection Using a Large Language Model with Autoencoder and Multilayer Perceptron
Dual-domain multi-modality brain MRI arbitrary-scale super-resolution network
Integrating non-preemptive open shops scheduling with sequence-dependent setup times using advanced metaheuristics
How can a sparse representation be made applicable for very low-dimensional data?
Realization of a news dissemination agent based on weighted association rules and text mining techniques
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Seq2Seq models for recommending short text conversations
An enriched model for the integrated berth allocation and quay crane assignment problem
Automatic calibration a hydrological model using a master-slave swarms shuffling evolution algorithm based on self-adaptive particle swarm optimization
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Citation recommendation using semantic representation of cited papers' relations and content
Modeling and analysis of project performance factors in an extended project-oriented virtual organization (EProVO)
Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system
A multi-objective elitist feedback teaching-learning-based optimization algorithm and its application
A dynamic analysis of the bank of Japan's ETF/REIT purchase program
Delayed neural network based on a new complementarity function for the NCP
Fuzzy Hopfield neural network clustering for single-trial motor imagery EEG classification
Spectral decision in cognitive radio networks based on deep learning
Word and character segmentation in ancient handwritten documents in Devanagari and Maithili scripts using horizontal zoning
A statistical modeling methodology for the analysis of term structure of credit risk and its dependency
The effectiveness of supervised clustering for characterising flight diversions due to weather
Optimal transport-based transfer learning with incomplete data: Bridging the gap across omains
Stacked fuzzy envelope consistency imbalanced ensemble classification method
Automatic detection of tuberculosis related abnormalities in Chest X-ray images using hierarchical feature extraction scheme
Data-driven based multi-objective combustion optimization covering static and dynamic states
A neural network-based fuzzy time series model to improve forecasting
An automatically constructed thesaurus for neural network based document categorization
Mining of mixed data with application to catalog marketing
Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble
Opinion formation analysis for Expressed and Private Opinions (EPOs) models: Reasoning private opinions from behaviors in group decision-making systems
An approach to fault diagnosis with online detection of novel faults using fuzzy clustering tools
Camera clustering for scalable stream-based active distillation
Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies
Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA
Loan eligibility prediction using adaptive hybrid optimization driven-deep neuro fuzzy network
A computational cognitive model of the Iowa Gambling Task for finely characterizing decision making in methamphetamine users
Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems
Learning weights for translation candidates in Japanese-Chinese information retrieval
Boosting expensive synchronizing heuristics
Neutrosophic multi-period two stage four-dimensional transportation problem for breakable items
Modeling Trust in human-Robot Collaborative Construction: An Improved Cloud Bayesian Network
A novel carbon price forecasting model integrating mixed-frequency modeling into the transformer architecture from a multi-factor perspective
An adaptive microbiome regression-based kernel association test using generalized estimating equations for longitudinal microbiome studies
ConvNeXt based semi-supervised approach with consistency regularization for weeds classification
The role of intelligent agents and data mining in electronic partnership management
A metaheuristic approach for a cubic cell formation problem
Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders
TEMPORARY REMOVAL: Models and algorithms for the preventive maintenance optimization of railway vehicles
DKSCNN: Deep Kronecker Siamese Convolutional Neural Network enabled speaker identification
Dynamic traffic signal control for heterogeneous traffic conditions using Max Pressure and Reinforcement Learning
An expert system to support the optimization of ion plating process: an OLAP-based fuzzy-cum-GA approach
A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective
Cloud-based Cyber-Physical Logistics System with Nested MAX-MIN Ant Algorithm for E-commerce logistics
Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data
A survey and performance evaluation of deep learning methods for small object detection
Generating summary sentences using Adversarially Regularized Autoencoders with conditional context
Experimenting statecharts for multiple experts knowledge elicitation in agriculture
Using FQFD to analyze island accommodation management in fuzzy linguistic preferences
Apply ontology and agent technology to construct virtual observatory
An advanced decision-making model for evaluating manufacturing plant locations using fuzzy inference system
PerFedSAC: Energy-time-aware personalized federated learning via soft actor-critic in resource-constrained IoT
An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult
Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike
Rule-based diagnosis and supervision of a pilot-scale wastewater treatment plant using fuzzy logic techniques
Estimating the effects of mental disorientation and physical fatigue in a semi-panic evacuation
Modelling and optimization for integrated scheduling problem considering spare parts production, batch transportation and equipment operation
A tool for access to relational databases in natural language
Analyzing the relationship between digitalization and energy sustainability: A comprehensive ISM-MICMAC and DEMATEL approach
Automatic provision of personalized e-commerce services in Digital TV scenarios with impermanent connectivity
Collaborative spam filtering with heterogeneous agents
An improved PSO for operational optimization of steam power systems in petrochemical enterprises
A modified YOLOv5 architecture for efficient fire detection in smart cities
An efficient deep template matching and in-plane pose estimation method via template-aware dynamic convolution
Modeling asphalt pavement overlay transverse cracks using the genetic operation tree and Levenberg-Marquardt Method
Differential evolution with an adaptive penalty coefficient mechanism and a search history exploitation mechanism
Financial innovation: Credit default hybrid model for SME lending
Two-stage cross-fusion network for stereo event-based depth estimation
Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders
Document-specific keyphrase candidate search and ranking
Mixed uncertainties in data envelopment analysis: A fuzzy-robust approach
CLTAP: A TAP-binding peptide prediction method using pre-trained large language-embedding models with contrastive learning to enhance contextual co-attention mechanism
TF-TS: Track-to-Track association via track fusion and track segmentation in distributed multi-sensor systems
The stochastic decision making framework for long-term multi-objective energy-water supply-ecology operation in parallel reservoirs system under uncertainties
Rule extraction from trained adaptive neural networks using artificial immune systems
Composing semantic Web services under constraints
Multi-scale guidance diffusion network for wafer map defect recognition
Solar radiation forecasting based on convolutional neural network and ensemble learning
Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications
Autonomous agents and computational intelligence: the future of AI application for petroleum industry
Distant supervision for relation extraction with hierarchical attention-based networks
Methodological design and comparative evaluation of a MAS providing AmI
Design of two-dimensional IIR digital structure-specified filters by using an improved genetic algorithm
A fuzzy analytic hierarchy processing decision support system to analyze occupational menace forecasting the spawning of shoulder and neck pain
A new multi-objective multi-mode model for solving preemptive time-cost-quality trade-off project scheduling problems
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data
Corrigendum "Augmenting productivity analysis with data mining: An application on IT business value" [Experts Systems with Applications 36 (2P1) (2009) (2213-2224)]
The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles
Gbest guided artificial bee colony algorithm for environmental/economic dispatch considering wind power
An application of knowledge based modelling using scripts
How to select and weight context dimensions conditions for context-aware recommendation?
Multimodal driver distraction detection using dual-channel network of CNN and Transformer
An ANN-based element extraction method for automatic mesh generation
Composition of executable business process models by combining business rules and process flows
A new k-harmonic nearest neighbor classifier based on the multi-local means
A weighted L q adaptive least squares support vector machine classifiers - Robust and sparse approximation
Comments on "Intuitionistic fuzzy TOPSIS for non-linear multi-objective transportation and manufacturing problem"
A systolic parallel simulation system for dynamic traffic assignment: SPSS-DTA
PromptHC: Multi-attention prompt guided haze-weather crowd counting
Facilitating the applications of support vector machine by using a new kernel
Knowledge-based parametric design of mechanical products based on configuration design method
CTFN: Multi-scale CNN and transformer with graph encodings fusion network for hyperspectral image classification
RFM model customer segmentation based on hierarchical approach using FCA
Markov decision process based multi-round negotiation in manufacturing service collaboration under dynamic pressure conditions
Appearance feature enhancement for person re-identification
A multi-agent approach to Intelligent Transportation Systems modeling with combinatorial auctions
Point of interest recommendations based on the anchoring effect in location-based social network services
ForeSeiz: An IoMT based headband for Real-time epileptic seizure forecasting
Detecting and rationalizing concept drift: A feature-level approach for understanding cause-effect relationships in dynamic environments
High payload data-hiding in audio signals based on a modified OFDM approach
Workflow scheduling based on asynchronous advantage actor-critic algorithm in multi-cloud environment
Curriculum learning for a hybrid approach for aspect-based sentiment analysis
Statistical monitoring for continual quality control of railway ballast
Informer-FDR: A short-term vehicle speed prediction model in car-following scenario based on traffic environment
Data-driven and knowledge-guided denoising diffusion model for flood forecasting
Constructing intelligent model for acceptability evaluation of a product
An effective hybrid automated Chinese scoring system for medical education
A novel numerical approach for time-varying impulsive fractional differential equations using theory of functional connections and neural network
Ant colony optimization for RDF chain queries for decision support
Modeling contaminant intrusion in water distribution networks: A new similarity-based DST method
An optimization framework towards prioritization in fuzzy comparison matrices
Media coverage in times of political crisis: A text mining approach
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
A hybrid multi-criteria decision-making model for firms competence evaluation
A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis
Leveraging social media and google trends to identify waves of avian influenza outbreaks in USA and Canada
Android-GAN: Defending against android pattern attacks using multi-modal generative network as anomaly detector
Real-time monitoring of fan operation in livestock houses based on the image processing
Finite-time quantized guaranteed cost fuzzy control for continuous-time nonlinear systems
Formulation and heuristic method for urban cold-chain logistics systems with path flexibility - The case of China
A SCADA oriented middleware for RFID technology
Systematic prediction of synergistic drug combinations through network-based deep learning framework
Constructing of the risk classification model of cervical cancer by artificial neural network
Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments
Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches
A template-based Tabu Search algorithm for the Consistent Vehicle Routing Problem
Regression with re-labeling for noisy data
Expert system for analysis of quality in production of electronics
Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks
A mass classification using spatial diversity approaches in mammography images for false positive reduction
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
RésuMatcher: A personalized résumé-job matching system
Progressive collaborative adversarial learning with missing modality for comprehensive multi-modal hand biometrics dataset
Salp Swarm Optimization: A critical review
Global geometric similarity scheme for feature selection in fault diagnosis
Clustering based distributed phylogenetic tree construction
Context-based local-global fusion network for 3D point cloud classification and segmentation
Comparing ANFIS and SEM in linear and nonlinear forecasting of new product development performance
An overlapping clustering approach for precision, diversity and novelty-aware recommendations
KGEL: A novel end-to-end embedding learning framework for knowledge graph completion
Medical image based breast cancer diagnosis: State of the art and future directions
Wearable payment: A deep learning-based dual-stage SEM-ANN analysis
Towards high-accuracy axial springback: Mesh-based simulation of metal tube bending via geometry/process-integrated graph neural networks
Stackelberg security games: Computing the shortest-path equilibrium
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
Mitigate discrimination caused by data bias: Learning fair representations with information reinforcement via recurrent encoding
Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems
Classified-RRT*: Node classification RRT*-based algorithm with improved solution performance and convergence rate
Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru