yusuke1997/dblp-id-title huggingface dataset:
Deep learning and gradient boosting for urban environmental noise monitoring in smart cities
Label-aware Dual-view Graph Neural Network for Protein-Protein Interaction Classification
Multi-objective robust dynamic communication optimization with temporal continuity for highway vehicular networks
Identifying turning points in animated cartoons
Designing intelligent agents to support long-term partnership in two echelon e-Supply Networks
Incorporating prior model into Gaussian processes regression for WEDM process modeling
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
A rule-based group decision model for warehouse evaluation under interval-valued Intuitionistic fuzzy environments
New directional bat algorithm for continuous optimization problems
Decision-making for supplier selection problems based on QUALIFLEX technique using likelihood method in LIVIFS environment
An ontology-based framework to support intelligent data analysis of sensor measurements
Facial image medical analysis system using quantitative chromatic feature
Featured correspondence topic model for semantic search on social image collections
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem
SQGKT: Student-question interaction graph-based knowledge tracing
Noisy time series prediction using M-estimator based robust radial basis function neural networks with growing and pruning techniques
One-step temporal subspace clustering with structured sparsity and indicator graph-Laplacian regularization
Retinal vessel segmentation based on Fully Convolutional Neural Networks
DBNA-Net: A deep learning framework for the classification of lung and colon cancer using histopathological images
A stock price manipulation detecting model with ensemble learning
A survey on knowledge graph-based click-through rate prediction
Automated defect identification for cell phones using language context, linguistic and smoke-word models
A two-stage stochastic programming method for a heterogeneous vehicle routing problem with time windows and stochastic demand
Efficiency of local models ensembles for time series prediction
Model checking agent-based communities against uncertain group commitments and knowledge
A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering
Multi-Time Scale Aware Host Task Preferred Learning for WEEE return prediction
Open-world link prediction via type-constraint embedding and hybrid attention for knowledge reuse of AI chip design
A hybrid machine learning framework for forecasting house price
STAF-LLM: A scalable and task-adaptive fine-tuning framework for large language models in medical domain
A decision support system for open-pit mining optimisation with dynamic uncertainty and GPU-based parallel repair approach
Priority-based heuristics for the multi-skill resource constrained project scheduling problem
Portfolio algorithm based on portfolio beta using genetic algorithm
Enterprise performance online evaluation based on extended belief rule-base model
A clinical decision support system for predicting cirrhosis stages via high frequency ultrasound images
Prescribed-time synchronization for stochastic reaction-diffusion networks with delayed impulse and application in secure communication
A probabilistic SVM based decision system for pain diagnosis
A modified vision transformer architecture with scratch learning capabilities for effective fire detection
A tabu search meta-heuristic approach to the dual response systems problem
Hidden maintenance opportunities in discrete and complex production lines
Hybrid tabu search for re-entrant permutation flow-shop scheduling problem
An Electromagnetism-like algorithm for cell formation and layout problem
Deep Cross-Training: An Approach to Improve Deep Neural Network Classification on Mammographic Images
A novel approach for mining maximal frequent patterns
A cross-session motor imagery classification method based on Riemannian geometry and deep domain adaptation
Pricing, replenishment and consignment strategies for a multi-tier supply system under various structures
A SOM prototype-based cluster analysis methodology
Expert system based on neuro-fuzzy rules for diagnosis breast cancer
An improved Jaya optimization algorithm with Lévy flight
Integrated trust based control system for multirobot systems: Development and experimentation in real environment
Cross domain recommendation using multidimensional tensor factorization
Dynamic driver fatigue detection using hidden Markov model in real driving condition
A trend prediction model from very short term data learning
A hybrid recommender system for recommending relevant movies using an expert system
AML-CFSim: An agent-based simulation model for anti-money laundering from cyber fraud crimes
LCO-LSHADE-GSRL: An enhanced differential evolution algorithm with chaotic orthogonal initialization and GAN-driven specular reflection learning for engineering optimization
Difficulty-weighted learning: A novel curriculum-like approach based on difficult examples for neural network training
YOLO-ResTinyECG: ECG-based lightweight embedded AI arrhythmia small object detector with pruning methods
A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design
A classification method based on optical flow for violence detection
Anti-spoofing study on palm biometric features
Simulating realistic short tandem repeat capillary electrophoretic signal using a generative adversarial network
A metamodel-based knowledge sharing system for disaster management
Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms
Using AHP to determine intangible priority factors for technology transfer adoption
Measuring the Shattering coefficient of Decision Tree models
I KS index: A knowledge-model driven index to estimate the capability of medical diagnosis systems to produce results
An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants
An efficient solution approach to capacitated three-level hierarchical time minimization transportation problem
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization
Multi-view consistent feature learning for open-set semantic image segmentation
Car assembly line fault diagnosis based on modified support vector classifier machine
Image classification with multi-view multi-instance metric learning
A deep-learning-based antifraud system for car-insurance claims
High-dimensional objective optimizer: An evolutionary algorithm and its nonlinear analysis
Adaptive reversible data hiding scheme based on difference division interpolation
Comparisons between a rule-based expert system and optimization models for sensor deployment in a small drinking water network
Prioritizing and queueing the emergency departments' patients using a novel data-driven decision-making methodology, a real case study
An experience-based system supporting inventory planning: A fuzzy approach
Predictive precision of enhanced drone landings
Community answer recommendation based on heterogeneous semantic fusion
The application of control chart for defects and defect clustering in IC manufacturing based on fuzzy theory
Pure output model-based context-dependent DEA: Tool for analyzing index published by assessing bodies
Development of an expert multitask gadget controlled by voluntary eye movements
Automatic price negotiation on the web: An agent-based web application using fuzzy expert system
Predicting last-mile delivery route deviations using machine learning
A metal price forecasting framework optimized with TLBO metaheuristic and selective for highest returns
Enhancing significant wave height prediction based on numerical SWAN and Crossformer models with adaptive decomposition
Facial expression recognition based on multi-task self-distillation with coarse and fine grained labels
An LDoS attack detection method based on FSWT time-frequency distribution
Monotonic Takagi-Sugeno models with cubic spline membership functions
Cognitive model based fashion style decision making
Multiple intelligences in a MultiAgent System applied to telecontrol
Derivation of empirical equations for neutronic performance in a thorium fusion breeder with various coolants using regression analysis
Fuzzy linear regression-based detection of earnings management
A stable self-organized spatial pooling algorithm for hierarchical temporal memory
A logistic regression-based smoothing method for Chinese text categorization
Automatic modulation classification using different neural network and PCA combinations
Stress recognition from facial images in children during physiotherapy with serious games
Realistic action recognition with salient foreground trajectories
An integrated space polyhedral grid grey relational analysis model based on panel interval grey number for seawater quality assessment
Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism
An effective local search approach for the Vehicle Routing Problem with Backhauls
On-line signature verification using vertical signature partitioning
Ontology matching: A literature review
An intelligent fault diagnosis system for newly assembled transmission
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes
Optimizing customized bus routes with integrated passenger guidance under stochastic travel times
GeOasis: A knowledge-based geo-referenced tourist assistant
Estimation of the minimum machining performance in the abrasive waterjet machining using integrated ANN-SA
HI-SLAM: Hierarchical implicit neural representation for SLAM
Forecasting US dollar exchange rate movement with computational models and human behavior
Prioritizing vulnerability patches in large networks
ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection
A self-adaptive harmony PSO search algorithm and its performance analysis
An efficient henry gas solubility optimization for feature selection
Outer product enhanced heterogeneous information network embedding for recommendation
Supply chain knowledge management: A literature review
DSteganoM: Deep steganography for motion capture data
Rare category exploration
A network fairness consensus model considering opinion retention utility
Network based Enterprise Profiling with Semi-Supervised Learning
Cross-model denoising and Spearman-based negative sample filling for implicit feedback recommendation
Modeling collaboration formation with a game theory approach
Vision foundation model for agricultural applications with efficient layer aggregation network
Real-time portrait image retouching extended from DualBLN
Dynamic packaging in e-retailing with stochastic demand over finite horizons: A Q-learning approach
Adaptive pairing of classifier and imputation methods based on the characteristics of missing values in data sets
RuleCOSI: Combination and simplification of production rules from boosted decision trees for imbalanced classification
Short-term fault prediction based on support vector machines with parameter optimization by evolution strategy
Efficient classification using parallel and scalable compressed model and its application on intrusion detection
Anomaly pattern detection for streaming data
Convolutional neural network for groundwater contamination source identification
Joint progressive extraction strategy with divergence minimization for color consistency in single Multi-Source stitched image
OntoCrawler: A focused crawler with ontology-supported website models for information agents
Multi-view Convolutional Neural Network for lung nodule false positive reduction
Relation-aware Heterogeneous Graph Transformer based drug repurposing
A fuzzy logic approach for dealing with qualitative quality characteristics of a process
Hot rolled prognostic approach based on hybrid Bayesian progressive layered extraction multi-task learning
Multi-modal semantics fusion model for domain relation extraction via information bottleneck
Dynamic failure modes and effects analysis method considering synergistic standards of failure correlation and expert evaluation
Lessons from debiasing data for fair and accurate predictive modeling in education
Fuzzy application in service quality analysis: An empirical study
An efficient multilevel thresholding based satellite image segmentation approach using a new adaptive cuckoo search algorithm
MLBFN optimized with Archimedes optimization Algorithm for SRCE
ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption
A simulated annealing with variable neighborhood descent approach for the heterogeneous fleet vehicle routing problem with multiple forward/reverse cross-docks
Generalized reinforcement learning control algorithm for fully automated insulin delivery system
ResNet deep models and transfer learning technique for classification and quality detection of rice cultivars
A genetic programming model to generate risk-adjusted technical trading rules in stock markets
Cardiac ScoreCard: A diagnostic multivariate index assay system for predicting a spectrum of cardiovascular disease
Credit scoring based on tree-enhanced gradient boosting decision trees
Self-supervised cycle-consistent learning for scale-arbitrary real-world single image super-resolution
A fuzzy clustering approach for finding similar documents using a novel similarity measure
Parallel implementation of fuzzy minimals clustering algorithm
RAG-based explainable prediction of road users behaviors for automated driving using knowledge graphs and large language models
Paradox learning: Contradictory labels to disentangle symmetric and asymmetric EEG spatial patterns
Understanding panic buying during COVID-19: A text analytics approach
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
A stable-state multi-objective evolutionary algorithm based on decomposition
Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm
Hair-oriented data model for spatio-temporal data representation
Weapon System Capability Assessment under uncertainty based on the evidential reasoning approach
Natural language processing methods for assessing social determinants of health in the electronic health records: A narrative review
OWA-weighted based clustering method for classification problem
On-line analytical framework for the 2-DE based proteome information
Reliability allocation method based on linguistic neutrosophic numbers weight Muirhead mean operator
A heuristic solution for multi-mode resource-constrained project scheduling problem with transfer times: The multi-project case
EEG based automated detection of seizure using machine learning approach and traditional features
Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms
A genetic search of patterns of behaviour in OSS communities
Multi-source data driven cryptocurrency price movement prediction and portfolio optimization
Classifying the risk of work related low back disorders due to manual material handling tasks
3D-HMFormer: A 3D position-guided hierarchical multitask transformer for EEG-based executive function classification
An incremental learning method for spoof fingerprint detection
Social network-based service recommendation with trust enhancement
Does stock repurchase declaration affect stock price? Differences between the electrics industry and other industries
HAMFace: Hardness adaptive margin loss for face recognition with various intra-class variations
Time series labeling algorithms based on the K-nearest neighbors' frequencies
StockNet - GRU based stock index prediction
Comparative optimizer rank and score: A modern approach for performance analysis of optimization techniques
AIRMS: A risk management tool using machine learning
Simplified expression and recursive algorithm of multi-threshold Tsallis entropy
Multiattribute decision making based on interval-valued intuitionistic fuzzy values
Optimizing resource allocation in Ultra-Dense networks with UAV Assistance: A levy Flight-based approach
Computing the Principal Local Binary Patterns for face recognition using data mining tools
Robust clean hypergraph for incomplete multi-view clustering
Bees algorithm for interference suppression of linear antenna arrays by controlling the phase-only and both the amplitude and phase
Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction
Design of input vector for day-ahead price forecasting of electricity markets
Analysis and extension of ordinal priority approach for multi-attribute group decision-making problems
Dual channel representation-learning with dynamic intent aggregation for session-based recommendation
RESYGEN: A Recommendation System Generator using domain-based heuristics
Fuzzy neural based importance-performance analysis for determining critical service attributes
An iterative greedy algorithm based on neighborhood search for energy-efficient scheduling of distributed permutation flowshop with sequence-dependent setup time
Fairness model considering satisfaction and preferences for service scheduling on electronic platforms in construction industry
Combining additive input noise annealing and pattern transformations for improved handwritten character recognition
Optimizing electric vehicle routing problems with mixed backhauls and recharging strategies in multi-dimensional representation network
Generalized projective synchronization of uncertain chaotic systems with external disturbance
Time-frequency domain based optimization of hedging strategy: Evidence from CSI 500 spot and futures
A fuzzy expert system for automatic seismic signal classification
A Kalman filter updating method for the indoor moving object database
Capacity constrained maximizing bichromatic reverse nearest neighbor search
An adaptive learning grey wolf optimizer for coverage optimization in WSNs
Open APIs recommendation with an ensemble-based multi-feature model
Bio-inspired algorithms for the characterization of excellent performance in handball players: A data-driven methodology
Non-emergency patient transport services planning through genetic algorithms
On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors
Referring Expression Comprehension in semi-structured human-robot interaction
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features
A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization
A Lagrangean based solution algorithm for the knapsack problem with setups
The measuring and control system for improved model based diastat filling quality
Open Innovation in an Enterprise 3.0 framework: Three case studies
Annotating mobile phone location data with activity purposes using machine learning algorithms
A feature covariance matrix with serial particle filter for isolated sign language recognition
Towards private stylists via personalized compatibility learning
A multi-objective optimization study on the electromechanical system for a space mechanism based on a Catboost surrogate model and NSGA-III algorithm
Regularized multivariable grey model for stable grey coefficients estimation
Multi-hop temporal knowledge graph reasoning with temporal path rules guidance
VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining
G-LASSO/G-SCAD/G-MCP penalized trinomial logit dynamic models predict up trends, sideways trends and down trends for stock returns
MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation
Incorporating travel time uncertainty into the design of service regions for delivery/pickup problems with time windows
Synthesis of event-triggered dynamic quantizers for networked control systems
A feasibility test model for new telecom service development using MCDM method: A case study of video telephone service in Korea
Improved inverse gravity moment term weighting for text classification
Semi-supervised multi-class Adaboost by exploiting unlabeled data
HorD2CN: High-order deformable differential convolution network for hyperspectral image classification
Characterizing an unknown pollution source in groundwater resources systems using PSVM and PNN
Multiscale network based on feature fusion for fire disaster detection in complex scenes
A novel ensemble method for credit scoring: Adaption of different imbalance ratios
ARF: A hybrid model for credit scoring in complex systems
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
An intelligent driven deep residual learning framework for brain tumor classification using MRI images
Neural networks in economic analyses of wastewater systems
Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection
Session-based recommendation with hypergraph convolutional networks and sequential information embeddings
Metro Station functional clustering and dual-view recurrent graph convolutional network for metro passenger flow prediction
Local and global optimization for Takagi-Sugeno fuzzy system by memetic genetic programming
Weighted superposition attraction algorithm for combinatorial optimization
Style-rPPG: Exploration and analysis of style transfer in unsupervised remote physiological measurement
Predictive risk assessment framework for leakage accident of offshore LNG transfer system
Intelligent video target tracking using an evolutionary particle filter based upon improved cuckoo search
Agent-oriented modeling and development of a system for crisis management
Efficiency analysis trees: A new methodology for estimating production frontiers through decision trees
Knowledge-based decision system for automatic sleep staging using symbolic fusion in a turing machine-like decision process formalizing the sleep medicine guidelines
Tunable acoustic streaming-driven micropump for integration into lab-on-chip platforms for biomedical assays
Citation analysis and bibliometric approach for ant colony optimization from 1996 to 2010
Selective and multi-scale fusion Mamba for medical image segmentation
Customer purchase prediction in B2C e-business: A systematic review and future research agenda
Automatic performance assessment in Virtual Reality medical simulators: A model based on procedure trajectories and machine learning
A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain
Local Ternary Patterns from Three Orthogonal Planes for human action classification
A conjugate bayesian approach for calculating process capability indices
Braess Paradox under the bi-objective user equilibrium
An air quality prediction model based on improved Vanilla LSTM with multichannel input and multiroute output
A HITS-based model for facility location decision
TAttMSRecNet: Triplet-attention and multiscale reconstruction network for band selection in hyperspectral images
A novel evidence based model for detecting dangerous situations in level crossing environments
Collaborative multi-depot logistics network design with time window assignment
Risk prioritization of high-speed trains with acceptably multiplicative consistency of trapezoidal fuzzy preference relations
A green supplier selection model for high-tech industry
Identification of trends from patents using self-organizing maps
Integrated classifier hyperplane placement and feature selection