yusuke1997/dblp-id-title huggingface dataset:
An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering
A time scale-oriented approach for building medical expert systems
Graph-based modeling using association rule mining to detect influential users in social networks
A web-aware interoperable data mining system
Minimizing the cost of integrated systems approach to process control and maintenance model by EWMA control chart using genetic algorithm
A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration
Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices
A hybrid risk assessment method combining CatBoost and FAHP-Grid search optimized risk matrix for container ship accident
EOG-based visual navigation interface development
'Long autonomy or long delay?' The importance of domain in opinion mining
A multi-agent coordination model for the variation of underlying network topology
Splice sites prediction of Human genome using length-variable Markov model and feature selection
Age face simulation using aging functions on global and local features with residual images
Application of relevance vector machine and survival probability to machine degradation assessment
Time-frequency aware feature disentanglement learning for intelligent bearing fault diagnosis under variable speed conditions
HMiner: Efficiently mining high utility itemsets
Performance analysis of classification algorithms on early detection of liver disease
Knowledge-driven fuzzy consensus model for team formation
Modified swarm intelligence algorithms for the pharmacy duty scheduling problem
Variable-scale acoustic texture image and interpretable filter convolutional networks for defect monitoring in laser powder bed fusion
An efficient reinforcement learning approach for goal-based wealth management
DAG-Driven Optimization for heterogeneous federated learning based on fuzzy entropy and benders decomposition
Research on speech synthesis technology based on Tibetan rhythmic features
A cellular learning automata-based algorithm for solving the vertex coloring problem
A study on the effect of particle size on coal flotation kinetics using fuzzy logic
A knowledge and collaboration-based CBR process to improve network performance-related support activities
Use of center of gravity with the common vector approach in isolated word recognition
Applying an expert system into constructing customer's value expansion and prediction model based on AI techniques in leisure industry
Research on public opinion effecting on stock price during crises based on model checking
Online Subclass Knowledge Distillation
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods
Enhancing multimodal medical image classification through cross-graph modal contrastive learning
A hybrid strategy-based GJO algorithm for robot path planning
Medical image analysis using wavelet transform and deep belief networks
An intelligent slope disaster prediction and monitoring system based on WSN and ANP
Rule-based Mamdani-type fuzzy modelling of thermal performance of multi-layer precast concrete panels used in residential buildings in Turkey
COLREGs-compliant unmanned surface vehicles collision avoidance based on improved differential evolution algorithm
A hybrid physics-corrected neural network for RUL prognosis under random missing data
An expert system for supervised classifier design: Application to Alzheimer diagnosis
Prototyping a decision support system in the clinical environment: assessment of patients with osteoporosis OSTEODSS
Aspect-based sentiment classification with aspect-specific hypergraph attention networks
A hybrid regularization approach for random vector functional-link networks
Fuzzy clustering with capacity constraints: Algorithm, convergence analysis and numerical experiments
Monocular vision-based time-to-collision estimation for small drones by domain adaptation of simulated images
Prioritizing alternatives in strategic environmental assessment (SEA) using VIKOR method with random sampling for data gaps
Effective synchronizing algorithms
DualSyn: A dual-level feature interaction method to predict synergistic drug combinations
A multi-scale image watermarking based on integer wavelet transform and singular value decomposition
Stochastic optimization model for determining support system parameters of a subway station
User trends modeling for a content-based recommender system
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem
A comparison of some soft computing methods for software fault prediction
RSR-SESoS: A robust space resilience enhancement framework in spatial equipment system-of-systems
Self-adaptive differential evolution algorithm with discrete mutation control parameters
Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks
Solving the joint military medical evacuation problem via a random forest approximate dynamic programming approach
Local homogeneous consistent safe semi-supervised clustering
Implementing the induction-motor drive with four-switch inverter: An application of neural networks
CARNet: Cross-Attention guided feature reconstruction for RGB-T object detection
An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport
A decision support system for available parking slots on the roadsides in urban areas
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining
A hybrid device for the solution of sampling bias problems in the forecasting of firms' bankruptcy
Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis
Chaotic bee colony algorithms for global numerical optimization
A new investment method with AutoEncoder: Applications to crypto currencies
Robust hierarchical multiple hypothesis tracker for multiple-object tracking
MonoGuard: towards infrastructure-aware oversized vehicle detection via dynamic 3D metrology with monocular surveillance cameras
Ordinal classification with a spectrum of information sources
Combination of genetic algorithm with Lagrange multipliers for lot-size determination in multi-stage production scheduling problems
A SOMO-based approach to the operating room scheduling problem
A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging
IDoser: Improving individualized dosing policies with clinical practice and machine learning
SaCHBA_PDN: Modified honey badger algorithm with multi-strategy for UAV path planning
E2D-GS: Event-enhanced deblurring gaussian splatting
Mutual Information-based multi-label feature selection using interaction information
Semantic layout-guided diffusion model for high-fidelity image synthesis in 'The Thousand Li of Rivers and Mountains'
Correct like humans: Progressive learning framework for Chinese text error correction
Generalised bottom-up pruning: A model level combination of decision trees
A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
A novel plume tracking method in partial 3D diffusive environments using multi-sensor fusion
What is in a title? Characterizing product titles in e-commerce
PMM3D: a transformer-based monocular 3D detector with parallel multi-time inquiry and mixup enhancement
An efficient flow-shop scheduling algorithm based on a hybrid particle swarm optimization model
Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain
Automatic trimap generation and artifact reduction in alpha matte using unknown region detection
Predicting new energy vehicle sales: a novel hybrid modeling framework based on a two-stage decomposition-demodulation scheme
Multi-label emotion classification in texts using transfer learning
Automatic discovery of concepts and actions
A process-mining framework for the detection of healthcare fraud and abuse
Fusing hybrid attentive network with self-supervised dual-channel heterogeneous graph for knowledge tracing
Predicting seasonal patterns of energy production: A grey seasonal trend least squares support vector machine
l-shaped geometry-based pattern descriptor serving shape retrieval
Knowledge acquisition for diagnosis model in wireless networks
A multi-graph attention network for joint information extraction
Applying ant colony hybrid metaheuristics to wrapper verification
A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning
Modelling of residual stresses in the shot peened material C-1020 by artificial neural network
Research overview and prospect in condition monitoring of compressors
Foreground detection by ensembles of random polygonal tilings
Understanding static code warnings: An incremental AI approach
Portfolio optimization problems in different risk measures using genetic algorithm
Adaptive fuzzy PI controller with shifted control singletons
A data-based opportunity identification engine for collaborative freight logistics based on a trailer capacity graph
Corrigendum to "Key factors for the successful evaluation and screening of managers of the intellectual property rights speciality" [Expert Systems with Applications 38 (2011) 10794-10802]
MaOEA/D with adaptive external population guided weight vector adjustment
Charting new avenues in financial forecasting with TimesNet: The impact of intraperiod and interperiod variations on realized volatility prediction
An efficient hybrid algorithm for the Traveling Car Renter Problem
Consistency maintenance for evolving feature models
Convolutional neural networks for quality and species sorting of roundwood with image and numerical data
Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Semantic management of moving objects: A vision towards smart mobility
HLGST: Hybrid local-global spatio-temporal model for travel time estimation using Siamese graph convolutional with triplet networks
Simple additive weighting - A metamodel for multiple criteria decision analysis methods
Agent based mobile negotiation for personalized pricing of last minute theatre tickets
A game theory-based model for product portfolio management in a competitive market
A novel prediction-based strategy for object tracking in sensor networks by mining seamless temporal movement patterns
Boundary guided network with two-stage transfer learning for gastrointestinal polyps segmentation
Applying a fuzzy multiple criteria decision-making approach to the M&A due diligence
Modelling long medical documents and code associations for explainable automatic ICD coding
Nonlinear grey Bernoulli model with physics-preserving Cusum operator
Dual-path attention network for single image super-resolution
Analyzing the effects of binarization techniques when solving the set covering problem through swarm optimization
Wavelet energy signatures and robust Bayesian neural network for visual quality recognition of nonwovens
Constraint-based clustering and its applications in construction management
Multiple breaks detection in financial interval-valued time series
An improved ensemble learning method for exchange rate forecasting based on complementary effect of shallow and deep features
Deep autoencoder architecture with outliers for temporal attributed network embedding
Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment
A new exponential-logarithm-based single-valued neutrosophic set and their applications
Least squares online linear discriminant analysis
Evolutionary dynamics of trust with voluntary participation and group-shared sanctions
A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems
A container multimodal transportation scheduling approach based on immune affinity model for emergency relief
UAV navigation by an expert system for contaminant mapping with a genetic algorithm
Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory
A novel seasonal adaptive grey model with the data-restacking technique for monthly renewable energy consumption forecasting
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems
Emotion detection in suicide notes
Using neural networks as a support tool in the decision making for insurance industry
Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan
Optimizing ESG reporting: Innovating with E-BERT models in nature language processing
A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic
Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem
Incorporating risk into bank efficiency: A satisficing DEA approach to assess the Greek banking crisis
Optimal maintenance policy for multi-component systems under Markovian environment changes
An efficient optimizer for optimal overcurrent relay coordination in power distribution system
An novel approach to supplier selection based on vague sets group decision
An application of neural networks for harmonic coefficients and relative phase shifts detection
An improved privacy-preserving DWT-based collaborative filtering scheme
Weighted horn clause: Extending SWRL to model antecedents' importance and handle missing data
A study of a matrix manufacturing system scheduling method considering equipment degradation
Uncover the predictive structure of healthcare efficiency applying a bootstrapped data envelopment analysis
The use of meta-heuristics for airport gate assignment
Mining inter-sequence patterns
Soft hypergraph for modeling global interactions via social media networks
An artificial intelligence system for predicting customer default in e-commerce
Slacks-based efficiency measures for predicting bank performance
MI-EEG: Generalized model based on mutual information for EEG emotion recognition without adversarial training
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling
Information sharing vs. privacy: A game theoretic analysis
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments
Interpretable multi-graph convolution network integrating spatio-temporal attention and dynamic combination for wind power forecasting
FG-HFS: A feature filter and group evolution hybrid feature selection algorithm for high-dimensional gene expression data
DAG-HFC: Dual-domain attention and graph optimization network for heterogeneous graph feature completion
An automatic histopathological image segmentation network based on global context-aware module and deep feature aggregation
Severe sepsis mortality prediction with logistic regression over latent factors
A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm
A novel two-phase clustering-based under-sampling method for imbalanced classification problems
A joint array resource allocation and transmit beampattern design approach for multiple targets tracking
Data augmentation based estimation for the censored quantile regression neural network model
Returns-to-scale and scale economies of two-stage production processes using a fully fuzzy range-adjusted measure model with strong complementary slackness conditions
Optimization of multiple input-output fuzzy membership functions using clonal selection algorithm
PIFS, ARC and Markov model based hybrid method for fuzzy time series forecasting
Using customer knowledge in designing electronic catalog
Evolutionary risk preference inference model using fuzzy support vector machine for road slope collapse prediction
Identification of contributing variables using kernel-based discriminant modeling and reconstruction
Assessment of geometric features for individual identification and verification in biometric hand systems
Data mining for adaptive learning in a TESL-based e-learning system
A recommender model based on strong and weak social Ties: A Long-tail distribution perspective
Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem
Disruption management for the electric vehicle routing problem in a geographically flexible network
Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG
Gated parallel feature fusion multi-task learning for motor imagery EEG classification
Online knowledge validation with prudence analysis in a document management application
Generative adversarial nets for unsupervised outlier detection
Knowledge extraction and visualization of digital design process
A PSO-based intelligent service dispatching mechanism for customer expectation management
On validating web information extraction proposals
Mecon: A GNN-based graph classification framework for MEV activity detection
A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients
Impact of biclustering on the performance of Biclustering based Collaborative Filtering
Integrating a dimensional perturbation module into exponential distribution optimizer for solving optimization problems
Towards open decision support systems based on semantic focused crawling
State recognition and temperature rise time prediction of tobacco curing using multi-sensor data-fusion method based on feature impact factor
A parameter-free approach for estimating the quality and quantity of the right and left returns to scale in Data Envelopment Analysis
An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification
A variational selection mechanism for article comment generation
Enhancing hierarchical attention networks with CNN and stylistic features for fake news detection
Invariant 2D object recognition using KRA and GRA
Estimation of motor severity scales in Parkinson's disease by linear models of bimanual non-alternating index finger tapping features
XKey: A tool for the generation of identification keys
A robust deep convolutional neural network with batch-weighted loss for heartbeat classification
SARWAS: Deep ensemble learning techniques for sentiment based recommendation system
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
Adaptive MLS-HDMR metamodeling techniques for high dimensional problems
MoCAAS: auction agent system using a collaborative mobile agent in electronic commerce
Forecasting corporate credit ratings using big data from social media
OATracker: Object-aware anti-occlusion 3D multiobject tracking for autonomous driving
Comparing combinations of EEG activity in train drivers during monotonous driving
Prediction of diesel engine performance using biofuels with artificial neural network
Modeling clinical thinking based on knowledge hypergraph attention network and prompt learning for disease prediction
Dependency-based anomaly detection: A general framework and comprehensive evaluation
Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence
Optimized levy flight model for heart disease prediction using CNN framework in big data application
Fast defect detection in homogeneous flat surface products
Accurate CNN-based pupil segmentation with an ellipse fit error regularization term
OBGAN: Minority oversampling near borderline with generative adversarial networks
A novel F-SVM based on FOA for improving SVM performance
Combinatorial complexity problem reduction by the use of artificial vaccines
A novel case adaptation method based on an improved integrated genetic algorithm for power grid wind disaster emergencies
Multi-agent ontology-based Web 2.0 platform for medical rehabilitation
Latent Representation-Based Multi-View Subspace Clustering: Collaborative Optimization of Resistance Constraint and Laplacian Regularization
Combining expert knowledge and data mining in a medical diagnosis domain
Explanations by arbitrated argumentative dispute
GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age
Optimal cost-sensitive credit scoring using a new hybrid performance metric
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans
Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box
Exploring the potential of deep learning for streamflow forecasting: A comparative study with hydrological models for seasonal and perennial rivers
Fuzzy dynamic multi-objective Data Envelopment Analysis model
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method
Benign and malignant breast tumors classification based on region growing and CNN segmentation
An evaluation of recent neural sequence tagging models in Turkish named entity recognition
Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
Assistive system based on nerve detection and needle navigation in ultrasound images for regional anesthesia
Fuzzy rule interpolation based on principle membership functions and uncertainty grade functions of interval type-2 fuzzy sets
On-chip template training system and image processing applications using iterative annealing on ACE16k chip
Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach
A note on "intra-supply chain system with multiple sales locations and quality assurance"
An improved best-first branch and bound algorithm for the pallet-loading problem using a staircase structure
A knowledge-based object modeling advisor for developing quality object models
Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review
A dynamic information schema for supporting product lifecycle management
Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows
Predicting customer retention and profitability by using random forests and regression forests techniques
Classification of Alzheimer's disease by jointing 3D depthwise separable convolutional neural network and transformer
DECO 3 RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models
Using Bayesian networks for root cause analysis in statistical process control
Broad information diffusion modelling for sharing link click prediction using knowledge graphs
Lane clearance for emergency vehicle passage in connected and automated environment: A graph convolutional soft actor-critic method
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
Differentially private random decision forests using smooth sensitivity