yusuke1997/dblp-id-title huggingface dataset:
Double-loop compensated active disturbance rejection control of electromechanical servo system based on composite disturbance observer
A fuzzy expert system for site characterization
IRUNet for medical image segmentation
EBPT-CRA: A clustering and routing algorithm based on energy-balanced path tree for wireless sensor networks
Metaheuristics for protecting critical components in a service system: A computational study
Novel active learning methods for enhanced PC malware detection in windows OS
A synergy-effect-incorporated fuzzy Petri net modeling paradigm with application in risk assessment
A fuzzy logic system for the home assessment of freezing of gait in subjects with Parkinsons disease
Intelligent robust control of hybrid distributed generation system under voltage sag
Managing irrelevant knowledge in CBR models for unsolicited e-mail classification
On the Efficient-Market Hypothesis and stock exchange game model
Class-overlap undersampling based on Schur decomposition for Class-imbalance problems
Fuzzy logic in the gravitational search algorithm for the optimization of modular neural networks in pattern recognition
Energy-Efficient integrated thermal management for electric vehicles using evolutionary deep reinforcement learning
A subspace decision cluster classifier for text classification
ProTraS: A probabilistic traversing sampling algorithm
Automatic selection of molecular descriptors using random forest: Application to drug discovery
LogCALM: a log-based causal discovery and semantic modeling approach for network fault diagnosis
Initial breeding value prediction on Manchego sheep by using rule-based systems
CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images
Plant species identification using digital morphometrics: A review
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers
WSOE: Weakly Supervised Outlier Exposure for Object-level Out-of-distribution detection
Optimum design of the chute-flip bucket system using evolutionary algorithms considering conflicts between decision-makers
Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty
Blogger-Centric Contextual Advertising
Intention-convolution and hybrid-attention network for vehicle trajectory prediction
DFCNet: Dual-path fusion with intra-slice features and cross-slice constraints for cervical cancer CTV segmentation
Fentanyl analogs classification via Siamese network and mass spectral library searching
A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market
Outlier detection for heterogeneous data via fuzzy β covering
Online portfolio selection of integrating expert strategies based on mean reversion and trading volume
An improved hierarchical neural network model with local and global feature matching for script event prediction
Cooperative tri-population based evolutionary algorithm for large-scale multi-objective optimization
Segmentation of melanocytic skin lesions using feature learning and dictionaries
A 6-DOFs event-based camera relocalization system by CNN-LSTM and image denoising
Link prediction via robust bidirectional deep nonnegative matrix factorization
A semantic similarity measure integrating multiple conceptual relationships for web service discovery
A Theory of Evidence-based method for assessing frequent patterns
Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging
Group decision-making methods based on hesitant N -soft sets
Predicting effect of physical factors on tibial motion using artificial neural networks
Machine Learning Techniques to Identify Unsafe Driving Behavior by Means of In-Vehicle Sensor Data
A note on "The revised method of ranking LR fuzzy number based on deviation degree"
An optimal document clustering method using hybrid optimal feature selection and efficient soft computing classifier
Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from Twitter data
Few-shot font generation via denoising diffusion and component-level fine-grained style
Attribute-sensitive community search over attributed heterogeneous information networks
Minimizing flowtime in a flowshop scheduling problem with a biased random-key genetic algorithm
Sparse least-squares Universum twin bounded support vector machine with adaptive Lp-norms and feature selection
A similarity measurement for time series and its application to the stock market
A pixel-level assessment method of the aging status of silicone rubber insulators based on hyperspectral imaging technology and IPCA-SVM model
An adaptive biogeography-based optimization with integrated covariance matrix learning for robust visual object tracking
Constrained fuzzy arithmetic approach to fuzzy transportation problems with fuzzy decision variables
A new state estimation method for chaotic signals: Map-particle filter method
Robust centralized multi-sensor multi-target tracking based on belief propagation with out-of-sequence measurements
Identification and distance estimation of users and objects by means of electronic beacons in social robotics
Minimizing greenhouse gas emissions using inverse DEA with an application in oil and gas
A novel data-free class incremental learning framework with adaptive sparse reasoning for EEG emotion recognition
Abnormal crowd density estimation in aerial images based on the deep and handcrafted features fusion
A knowledge-based method for tool path planning of large-sized parts
Solving the integrated planning and scheduling problem using variable neighborhood search based algorithms
PCSCNet: Fast 3D semantic segmentation of LiDAR point cloud for autonomous car using point convolution and sparse convolution network
An SAO-based text mining approach to building a technology tree for technology planning
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence
Formation control for UAVs using a Flux Guided approach
A Galois lattice approach to a context-aware privacy negotiation service
A2C: A modular multi-stage collaborative decision framework for human-AI teams
RTS-LLM: Restoring time structure for time series forecasting with LLMs
Learning comprehensible and accurate hybrid trees
Integration of deep learning techniques and sustainability-based concepts into an urban pavement management system
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments
Landslide susceptibility mapping based on the reliability of landslide and non-landslide sample
Software fault prediction: A literature review and current trends
SCL - Segmentation-Classification combined Loss for surface defect detection
Application of particle swarm optimization and perceptual map to tourist market segmentation
An improved multiobjective genetic algorithm for robustness-cost trade-off optimization in resource-constrained proactive project scheduling
Affect analysis in context of characters in narratives
Series decomposition Transformer with period-correlation for stock market index prediction
An improved genetic algorithm for optimal feature subset selection from multi-character feature set
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Segmenting online game customers - The perspective of experiential marketing
A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection
SFCLI-Net: Spatial-frequency collaborative learning interpolation network for Computed Tomography slice synthesis
Mixture of causal experts: A causal perspective to build dual-level mixture-of-experts models
A kernel semi-supervised distance metric learning with relative distance: Integration with a MOO approach
Enhancing effectiveness of density-based outlier mining scheme with density-similarity-neighbor-based outlier factor
SVM-based decision support system for clinic aided tracheal intubation predication with multiple features
Mining the Generation Xers' job attitudes by artificial neural network and decision tree - empirical evidence in Taiwan
Gaussian model for closed curves
Explaining dimensionality reduction results using Shapley values
A novel intuitionistic fuzzy VIKOR method to MCDM based on intuitionistic fuzzy β★-covering rough set
Genetic algorithm-based heuristic for capacitated lotsizing problem in flow shops with sequence-dependent setups
Hybrid genetic algorithm with Wiener process for multi-scale colored balanced traveling salesman problem
PRNN: Pareto-Guided recursive neural network embedded approach for biomarker discovery in breast cancer multi-omics dataset
Forecasting cryptocurrencies prices using data driven level set fuzzy models
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters
Shadows & Lumination: Two-illuminant multiple cameras color constancy dataset
General-use unsupervised keyword extraction model for keyword analysis
A hybrid bee colony algorithm for crack repair trajectory planning based on focal attention guided lightweight segmentation
SEA: Many-objective evolutionary algorithm with selection evolution strategy
The optimal container selection problem for parts transportation in the automotive sector
Multiple-factor optimistic value based model and parameter estimation for uncertain portfolio optimization
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
Composing fifth species counterpoint music with a variable neighborhood search algorithm
A hybrid quantum-chaotic encryption scheme for multi-scenario data security
Accelerating influence through communities: A scalable approach for maximizing budgeted influence in large-scale networks
Progressive detail-content-based similarity retrieval over large lung CT image database based on WSLN model
Detecting Sybil attacks in wireless sensor networks using UWB ranging-based information
Oppositional Slime Mould Algorithm: Development and application for designing demand side management controller
Erratum to "Integrating analytical network process and fuzzy logic to prioritize the strategies - A case study for tile manufacturing firm" [Expert Systems with Applications 39 (1) (2012) 925-935]
Condition-based maintenance of dynamic systems using online failure prognosis and belief rule base
An adaptive technique for global and local skew correction in color documents
Determination of the optimal number of clusters using a spectral clustering optimization
Study on runoff forecasting and error correction driven by atmosphere-ocean-land dataset
Capsule network-based deep ensemble transfer learning for multimodal sentiment analysis
CILOSR: A unified framework for enhanced class incremental learning based open-set human activity recognition using wearable sensors
An expert system approach to assess service performance of travel intermediary
Sensor analytics for interpretation of EKG signals
A finite element-based machine learning framework to predict the mechanical behavior of the pelvic floor muscles during childbirth
Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing
Skin cancer classification enabled mobile neuro fuzzy network and entropy with weber local binary pattern based for feature extraction
Aliasing black box adversarial attack with joint self-attention distribution and confidence probability
Cycle-CFM: An unsupervised framework for robust multimodal anomaly detection in industrial settings
Quality assessment of collaboratively-created web content with no manual intervention based on soft multi-view generation
A recovery system of broken relics using least squares fitting and vector similarity techniques
Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data
Decomposing texture and semantic for out-of-distribution detection
Evaluating students' answerscripts based on interval-valued fuzzy grade sheets
A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method
Increasing the views and reducing the depth in random forest
The matching scarcity problem: When recommenders do not connect the edges in recruitment services
Modeling supply-chain networks with firm-to-firm wire transfers
MuMu-LLaMA: Multi-modal music understanding and generation via large language models
A prototype-based framework for open-set heterogeneous federated face recognition
Direction-guided and multi-scale feature screening for fetal head-pubic symphysis segmentation and angle of progression calculation
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods
Contrast stretching based pansharpening by using weighted differential evolution algorithm
Determining the onset of driver's preparatory action for take-over in automated driving using multimodal data
Decision tree induction using a fast splitting attribute selection for large datasets
A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem
HIN_DRL: A random walk based dynamic network representation learning method for heterogeneous information networks
Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University
Share price prediction of aerospace relevant companies with recurrent neural networks based on PCA
(Q,S,R)-γ-dissipative control of T-S fuzzy systems via aperiodic sampling control with communication delay
Long tail service recommendation based on cross-view and contrastive learning
An evolutionary approach to implement logic circuits on three dimensional FPGAs
Multi-manufacturer multi-retailer optimal production-delivery policies embedding transportation cost of limited batch sizes
Resource allocation and target setting in data envelopment analysis
A model-based infrared and visible image fusion network with cooperative optimization
Clustering interval-valued data with adaptive Euclidean and City-Block distances
Detection and quantification of temperature sensor drift using probabilistic neural networks
Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting
Epidemiological modeling with a population density map-based cellular automata simulation system
Querying large-scale knowledge graphs using Qualitative Spatial Reasoning
Diagnosing resource usage failures in multi-agent systems
2D laser scanner selection using fuzzy logic
Selecting of software development project using fuzzy bipolar soft prioritized aggregation operators
TEA-SEA: Tiling and scheduling of non-uniform two-level perfectly nested loops using an evolutionary approach
An attention-based convolutional neural network for recipe recommendation
Improved slack-based context-dependent DEA - A study of international tourist hotels in Taiwan
MDG: Fusion learning of the maximal diffusion, deep propagation and global structure features of fake news
Use of an artificial immune network optimization approach to tune the parameters of a discrete variable structure controller
The design of a flexible bus line plan
On novelty detection for multi-class classification using non-linear metric learning
Grey models for short-term queue length predictions for adaptive traffic signal control
An improved sparrow search algorithm based on quantum computations and multi-strategy enhancement
Unsupervised classification of partial discharge via deep cross-modal clustering
Use of discrete gradient operators for the automatic determination of vanishing points: Comparative analysis
A time-efficient lane-changing strategy for connected and autonomous vehicle platoons in mixed traffic
Genetic programming for multibiometrics
scSCDT: Self-contrastive neural network with deep topology mining for scRNA-seq data clustering
Collaborative last mile delivery: A two-echelon vehicle routing model with collaboration points
Learning fine-grained representation with token-level alignment for multimodal sentiment analysis
Network-energy-based predictability and link-corrected prediction in complex networks
ORACON: An adaptive model for context prediction
A large-scale group decision-making method based on group-oriented rough dominance relation in scenic spot service improvement
Intelligent Web-based education system for adaptive learning
Multimodal biometric system built on the new entropy function for feature extraction and the Refined Scores as a classifier
Text classification using genetic algorithm oriented latent semantic features
Deep self-organizing cube: A novel multi-dimensional classifier for multiple output learning
The effect of linguistic hedges on feature selection: Part 2
Adaptive noise filtering based on artificial hydrocarbon networks: An application to audio signals
Diffinformer: Diffusion informer model for long sequence time-series forecasting
A large-group dynamic decision-making method for assessing storm surge emergency plans under hybrid information
A hybrid approach for a multi-compartment container loading problem
Multi-scale atlases based hierarchical heterogeneous graph learning for brain disorder diagnosis
Optimization of selective withdrawal systems in hydropower reservoir considering water quality and quantity aspects
Feature selection method for banknote dirtiness recognition based on mathematical functions driven slime mould algorithm
Mask R-CNN for Predicting rib fractures on CT images with interpretability and ChatGPT-Based structured outcomes
Retail business analytics: Customer visit segmentation using market basket data
A two-level approach to choose the cost parameter in support vector machines
A forecasting framework on fusion of spatiotemporal features for multi-station PM 2.5
A target spatial location method for fuze detonation point based on deep learning and sensor fusion
A Bayesian network-based approach for fault analysis
Route recommendation method for frequent passengers in subway based on passenger preference ranking
Indirect adaptive fuzzy control for industrial robots: A solution for contact applications
Distribution shift alignment in visual domain adaptation
A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization
A probabilistic reasoning-based decision support system for selection of remediation technologies for petroleum-contaminated sites
Classifying genes according to predefined patterns by controlling false discovery rate
New One Versus All One method: NOV@
An integrated fuzzy multi-measurement decision-making model for selecting optimization techniques of semiconductor materials
Development of RFID-based Reverse Logistics System
Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry
Deep learning-based prediction framework of temperature control time for wide-thick slab hot rolling production
Visualizing market segmentation using self-organizing maps and Fuzzy Delphi method - ADSL market of a telecommunication company
Use all tokens method to improve semantic relationship learning
The evaluation of dripping behaviors during the manufacturing process based on image processing method: Application to the Ginkgo biloba leaf dripping pills
Leveraging active perception for real-time high-resolution pose estimation
Three-dimensional-flow model of agent-based computational experiment for complex supply network evolution
Design of fuzzy rule-based models with fuzzy relational factorization
An artificial neural network (p, d, q) model for timeseries forecasting
A quantitative diagnostic method of feature coordination for machine learning model with massive data from rotary machine
Federated optimization via knowledge codistillation
WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
Maintenance reliability estimation for a cloud computing network with nodes failure
Modeling competing guidance on evacuation choices under time pressure using virtual reality and machine learning
Real measurement data-driven correlated hysteresis monitoring model for concrete arch dam displacement
Graph neural network-based bearing fault diagnosis using Granger causality test
GANPOI: A multi-factor generative adversarial framework for POI recommendation
A new edge detection method for noisy image based on discrete fractional wavelet transform and improved Canny algorithm
Parallel ant colony optimization for the training of cell signaling networks
Optimal tuning of PI coefficients by using fuzzy-genetic for V/f controlled induction motor
Pricing fuzzy vulnerable options and risk management
An optimization preference based approach with hesitant intuitionistic linguistic distribution in group decision making
The combined manpower-vehicle routing problem for multi-staged services
Weighted earliness/tardiness parallel machine scheduling problem with a common due date
Nonlinear classification of emotion from EEG signal based on maximized mutual information
Fast contamination recognition network: a knowledge distillation based hyperspectral outdoor insulator contamination level recognition network
Multi-criteria tensor model for tourism recommender systems
Privacy-preserving federated discovery of DNA motifs with differential privacy
Weakly labeled data augmentation for social media named entity recognition
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer's diagnosis
CSLMamba-LM: Mamba-based causal self-contrastive learning network for the fine-grained landslide mapping from very-high-resolution aerial images
PriSecFedFR: Privacy-secure face recognition model training via federated learning and random projection
Novel approach for deep learning-based market forecasting and portfolio selection incorporating market efficiency
Restoring missing gaps and intervals via global consistency and local coherence
A new approach of audio emotion recognition
Image quality assessment: Unifying spatial and frequency distribution discrepancy in deep feature domains via Rényi divergence
Spatio-temporal filtering of thermal video sequences for heart rate estimation
A novel tourism recommender system in the context of social commerce
Segmenting and mining the ERP users' perceived benefits using the rough set approach
Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review
Zeroing neural network with fuzzy parameter for cooperative manner of multiple redundant manipulators
A survey on sentiment detection of reviews
Segmenting online gamers by motivation
Enhancing TV programmes with additional contents using MPEG-7 segmentation information
Two-N input output mapping relationship fuzziness adaptation approach for fuzzy based negative pressure wound Therapy system
Mining disjunctive minimal generators with TitanicOR
Temporal fuzzy utility-based data analysis on data streams
Multivariate time series classification with crucial timestamps guidance
A probabilistic integrated object recognition and tracking framework
A minimum cost-maximum consensus jointly driven feedback mechanism under harmonious structure in social network group decision making
TerSeg: A dual-branch semantic segmentation network for Mars terrain and autonomous path planning
A hybrid algorithm based on particle swarm and chemical reaction optimization
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Improved asymptotic stability criteria for neural networks with interval time-varying delay
Imbalance learning using heterogeneous ensembles
COVID-19 personal health mention detection from tweets using dual convolutional neural network