yusuke1997/dblp-id-title huggingface dataset:
An approach to assess PWR methods to cope with physical barriers on plastic waste disposal and exploration from developing nations
A coarse-to-fine segmentation frame for polyp segmentation via deep and classification features
Depression detection on online social network with multivariate time series feature of user depressive symptoms
Using dynamical systems tools to detect concept drift in data streams
XLight: An interpretable multi-agent reinforcement learning approach for traffic signal control
Multiclass least-squares support vector machines for analog modulation classification
A novel secured authentication model for LTE network system using BD-POA-HECC, HD-MAC, and PD-3WHP techniques
Novel weighted ensemble classifier for smartphone based indoor localization
An integrated Data Envelopment Analysis-Artificial Neural Network-Rough Set Algorithm for assessment of personnel efficiency
A blockchain platform selection method with heterogeneous multi-criteria Decision-Making based on hybrid distance measures and an AHP-EWM weight method
Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]
CroSA: Unsupervised domain adaptation abnormal behavior detection via cross-space alignment
An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings
Effectively fusing clinical knowledge and AI knowledge for reliable lung nodule diagnosis
Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
R r-cr -IJADE: An efficient differential evolution algorithm for multilevel image thresholding
Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach
Mapping layperson medical terminology into the Human Phenotype Ontology using neural machine translation models
Using LLM-supported lecture summarization system to improve knowledge recall and student satisfaction
A comparative analysis of deep learning and machine learning for POS tagging
Solving equilibrium for adversarial team games utilizing fictitious team play with refined team plans
Merging preferences into the best solution seeking for many-objective optimization problems
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set
Proposal of a new stability concept to detect changes in unsupervised data streams
An approach based on maximal cliques and multi-density clustering for regional co-location pattern mining
A two-level strategy for segmenting center of interest from pictures
Measuring and analyzing agents' uncertainty in argumentation-based negotiation dialogue games
Shallow semantic labeling using two-phase feature-enhanced string matching
Self-organising socio-technical description in service systems for supporting smart user decisions in public transport
CR-LCRP: Course recommendation based on Learner-Course Relation Prediction with data augmentation in a heterogeneous view
Pre-Marshalling Problem: Heuristic solution method and instances generator
A study of mutual information based feature selection for case based reasoning in software cost estimation
CBT: Corrective boosting training approach for multi-choice commonsense question answering
Oriented bounding box detection algorithm for dense scenarios of robotic arm operation
A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design
Generating realistic pruning solutions for automated grape vine pruning using graph neural networks
Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network
NeuroFuzzyMan: A hybrid neuro-fuzzy BiLSTM stacked ensemble model for financial forecasting and analysis: Dataset case studies on JPMorgan, AMZN and TSLA
Multi-modal fusion architecture search for camera-based semantic scene completion
TSIDS: Spatial-temporal fusion gating Multilayer Perceptron for network intrusion detection
Combine temporal information in session-based recommendation with graph neural networks
In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals
Extended Dombi-Hamy mean operator and Gaussian likelihood-based ranking approach for solving MCDM problems in interval-valued neutrosophic environment
A novel chemistry based metaheuristic optimization method for mining of classification rules
KFC-Former: An interpretable kernel function convolutional -former with phase space reconstruction for remaining useful life prediction of mechanical equipment
Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets
Developing argumentation processing agents for computer-supported collaborative learning
HWA-Net: Hierarchical window aggregate network for cross-resolution remote sensing change detection
STFGCN: Spatial-temporal fusion graph convolutional network for traffic prediction
PassREfinder-FL: Privacy-preserving credential stuffing risk prediction via graph-based federated learning for representing password reuse between websites
Heuristic algorithms for the unrelated parallel machine scheduling problem with one scarce additional resource
Voice spoofing detector: A unified anti-spoofing framework
An approach to interval programming problems with left-hand-side stochastic coefficients: An application to environmental decisions analysis
Accounting for the long-term effects of a marketing contact
Wavelet-based multiresolution analysis for data cleaning and its application to water quality management systems
Data-driven water need estimation for IoT-based smart irrigation: A survey
DFN: A deep fusion network for flexible single and multi-modal action recognition
Evolutionary computation based three-area automatic generation control
Service chatbots: A systematic review
Designing higher-dimensional digital chaotic systems via reverse derivation of iterative function from strongly connected graph and its application
A fuzzy system to support the configuration of baggage screening devices at an airport
An enhanced hybrid deep neural network method for adjusted industrial time series prediction with variable operating states
Constructing a nutrition diagnosis expert system
Accuracy weighted diversity-based online boosting
MIWOA: A multi-strategy improved whale optimization algorithm with hybrid perturbation for engineering optimization
Joint enhanced low-rank constraint and kernel rank-order distance metric for low level vision processing
Effective temporal data classification by integrating sequential pattern mining and probabilistic induction
TMP: Temporal Motion Perception with spatial auxiliary enhancement for moving Infrared dim-small target detection
An improved constrained differential evolution using discrete variables (D-ICDE) for layout optimization of truss structures
Planning for tourism routes using social networks
A user-oriented contents recommendation system in peer-to-peer architecture
Comprehensive narrative review of artificial intelligence applications in oral health: from diagnosis to treatment
An optimum feature extraction method based on Wavelet-Radon Transform and Dynamic Neural Network for pavement distress classification
Insights into KPI-based performance anomaly detection in database systems: A comprehensive study
Path-relinking with tabu search for the capacitated centered clustering problem
Prototype system for feature extraction, classification and study of medical images
Interval type-2 neuro-fuzzy system with implication-based inference mechanism
A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems
A genetic clustering algorithm using a message-based similarity measure
Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)
A systematic stochastic efficiency analysis model and application to international supplier performance evaluation
An object-oriented evaluation framework for dynamic vehicle routing problems under real-time information
Feature discovery in NIR spectroscopy based Rocha pear classification
Mahalanobis-Taguchi system applied to variable selection in automotive pedals components using Gompertz binary particle swarm optimization
An open source object-based framework to extract landform classes
A new model to quantify the impact of a topic in a location over time with Social Media
Cyclic conditional diffusion models for CT-to-MR synthetic image segmentation with misaligned image pairs
Parameterization of RVS synthetic stellar spectra for the ESA Gaia mission: Study of the optimal domain for ANN training
Semi-supervised multi-view concept decomposition
Forward and reverse mappings of electrical discharge machining process using adaptive network-based fuzzy inference system
Prediction of Parkinson's disease tremor onset using radial basis function neural networks
Enhancing fraud detection efficiency in mobile transactions through the integration of bidirectional 3d Quasi-Recurrent Neural network and blockchain technologies
An EPQ-based inventory model for exponentially deteriorating items under retailer partial trade credit policy in supply chain
Structure clustering for Chinese patent documents
Multi-stage stochastic optimization of carbon risk management
Financial market monitoring by case-based reasoning
The optimal priority models of the intuitionistic fuzzy preference relation and their application in selecting industries with higher meteorological sensitivity
Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism
GA-based neural network for energy recovery system of the electric motorcycle
A new Probe Guided Mutation operator and its application for solving the cardinality constrained portfolio optimization problem
Sustainability assessment using fuzzy-inference technique (SAFT): A methodology toward green products
Addressing remitting behavior using an ordinal classification approach
Linear non-Gaussian causal discovery from a composite set of major US macroeconomic factors
Methodology of air traffic flow clustering and 3-D prediction of air traffic density in ATC sectors based on machine learning models
A novel clustering method for complex signals and feature extraction based on advanced information-based dissimilarity measure
Joint extraction of entities and overlapping relations using source-target entity labeling
Bandit algorithms: A comprehensive review and their dynamic selection from a portfolio for multicriteria top-k recommendation
An evolutionary approach for the p-next center problem
Building knowledge structures for online instructional/learning systems via knowledge elements interrelations
Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing
GNSS antenna placement for autonomous vehicles supported by Bayesian optimization
Application of fairness to healthcare, organizational justice, and finance: A survey
A weighted word embedding based approach for extractive text summarization
BIDI: A classification algorithm with instance difficulty invariance
An expert Discrete Wavelet Adaptive Network Based Fuzzy Inference System for digital modulation recognition
Predicting of fan speed for energy saving in HVAC system based on adaptive network based fuzzy inference system
CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition
Bee colony optimization for combined heat and power economic dispatch
Reliable forecasting non-linear triaxial mechanical response of recycled aggregate concrete by knowledge-enhanced, modified, explainable and replicable machine learning algorithms
Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data
A nanosatellite task scheduling framework to improve mission value using fuzzy constraints
Rough nu-support vector regression
BioSalNet: Biologically inspired saliency prediction
Prediction of compressive strength of nano-silica modified engineering cementitious composites exposed to high temperatures using hybrid deep learning models
Developing an automated framework for eco-label information categorization using web crawling and Natural Language Processing techniques
Multi-objective niching quantum genetic algorithm-based optimization method for pneumatic hammer structure
Development of an automatic grammar checker for Yorùbá word processing using Government and Binding Theory
Structure-attribute aligned graph neural network for recommendation
Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees
Explanations based on Item Response Theory (eXirt): A model-specific method to explain tree-ensemble model in trust perspective
Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels
Detection of heart valve diseases by using fuzzy discrete hidden Markov model
Explaining anomalies detected by autoencoders using Shapley Additive Explanations
Dilated convolution based RCNN using feature fusion for Low-Altitude aerial objects
Prediction and reliability analysis of ultimate axial strength for outer circular CFRP-strengthened CFST columns with CTGAN and hybrid MFO-ET model
Prediction of small non-coding RNA in bacterial genomes using support vector machines
A general-purpose edge-feature guidance module to enhance vision transformers for plant disease identification
Automatic diagnosis of pediatric high myopia via Attention-based Patch Residual Shrinkage network
Anomaly explanation with random forests
Graph-based adaptive and discriminative subspace learning for face image clustering
Case-based reasoning system with Petri nets for induction motor fault diagnosis
Rule enforced graph growing for molecular design by lightweight reinforcement learning
Genetic programming for credit scoring: The case of Egyptian public sector banks
Type-based mixture of experts and semi-supervised multi-task pre-training for symbolic music
Chaotic time series prediction via artificial neural square fuzzy inference system
A combined goal programming and inverse DEA method for target setting in mergers
Generalizing logic-based explanations for machine learning classifiers via optimization
Boosting collaborative filtering with an ensemble of co-trained recommenders
Hybrid forecasting model based on support vector machine and particle swarm optimization with adaptive and Cauchy mutation
SDI: A tool for speech differentiation in user identification
Double population cooperation constrained multi-objective optimization for flood control and power generation scheduling in cascade reservoirs
Physics-encoded neural network via multi-scale tree-structured graph representation for assessing cardiovascular hemodynamics
Advanced optimization of thermal efficiency in low-low temperature economizers and air heater system employing the crested porcupine optimizer algorithm
Energy-constrained multi-visit TSP with multiple drones considering non-customer rendezvous locations
ETR: Enhancing transformation reduction for reducing dimensionality and classification complexity in hyperspectral images
Fusion of shape of the ear and tragus - A unique feature extraction method for ear authentication system
Fuzzy logic weighted multi-criteria of dynamic route lifetime for reliable multicast routing in ad hoc networks
DeNoiseNAS: revisiting single-level optimization for efficient and stable neural architecture search
Mining the change of event trends for decision support in environmental scanning
Hierarchical fuzzy clustering decision tree for classifying recipes of ion implanter
Entity search based on consumer preferences leveraging user reviews
VasCA-Net: A vascular channel attention network for retinal vessel segmentation
Discovering users with similar internet access performance through cluster analysis
Predicting risk/reward ratio in financial markets for asset management using machine learning
Joint spatial feature adaption and confident pseudo-label selection for cross-subject motor imagery EEG signals classification
Two-stage human verification using HandCAPTCHA and anti-spoofed finger biometrics with feature selection
The triangle assessment method: A new procedure for eliciting expert judgement
A hybrid method for the capability evaluation of a far-sea naval ship repair and maintenance system based on binary semantic information and the evidential reasoning approach
Towards narrowing the generalization gap in deep Boolean networks
A weighted fuzzy process neural network model and its application in mixed-process signal classification
Nearshore seabed topography reconstruction method based on convolutional neural network
Multi-objective optimisation in inventory planning with supplier selection
Adaptive YOLOv6 with spatial Transformer Networks for accurate object detection and Multi-Angle classification in remote sensing images
Customer event history for churn prediction: How long is long enough?
Parameter optimization of sub-35 nm contact-hole fabrication using particle swarm optimization approach
Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors
Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL
Assigning discounts in a marketing campaign by using reinforcement learning and neural networks
Constructing transmitting interface of running parameters of small-scaled wind-power electricity generator with WSN modules
A novel grouping harmony search algorithm for the multiple-type access node location problem
FusionGCN: Multi-focus image fusion using superpixel features generation GCN and pixel-level feature reconstruction CNN
SAEA: A security-aware and energy-aware task scheduling strategy by Parallel Squirrel Search Algorithm in cloud environment
EKT-ML: An efficient knowledge tracing model with multi-task learning
A dual encoder crack segmentation network with Haar wavelet-based high-low frequency attention
Byzantine-robust one-shot federated learning based on hybrid-domain fuzzy clustering and meta learning
A hybrid model for finding abbreviation-definition pairs from biomedical abstracts using heuristics-based sequence labeling and perceptron linear classifier
Learning fuzzy rules for similarity assessment in case-based reasoning
A hybrid algorithm for capacitated plant location problem
An effective real time GRASP-based metaheuristic: Application to order consolidation and dynamic selection of transshipment points for time-critical freight logistics
An architecture for fault detection and isolation based on fuzzy methods
Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications
CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network
2PADMS: Two-stage prediction and data migration strategy based on hard disk failure time
Design of a weighted and informed NK model for intellectual capital-based innovation planning
Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions
Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features
Robust sclera recognition based on a local spherical structure
TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers
SAC-GNN: Multi-layer dual graph neural network for service recommendation
An agent based approach for the implementation of cooperative proactive S-Metaheuristics
Query-guided predicate decoupling and prototype approximation learning for scene graph generation
SSEDF: A shared-private semantic enhanced dynamic fusion network for multimodal sentiment analysis
GCD: Graph contrastive denoising module for GNNs in EEG classification
Evaluating students' learning achievement based on the eigenvector method
IWOSSA: An improved whale optimization salp swarm algorithm for solving optimization problems
A heterogeneous multi-attribute case retrieval method for emergency decision making based on bidirectional projection and TODIM
Advancing tracking-by-detection with MultiMap: Towards occlusion-resilient online multiclass strawberry counting
Subset selection by Mallows' C p : A mixed integer programming approach
Measures of type-2 fuzzy numbers: Balancing fast and slow thinking in decision analysis
Improving fairness of artificial intelligence algorithms in Privileged-Group Selection Bias data settings
Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring
Conceptual modeling of causal map: Object oriented causal map
Robust kernel-free double well potential twin support vector regression
Automatic keyword prediction using Google similarity distance
Discussion related to "Wang, C.-H., & Lu, J.-Z. (2009). A hybrid genetic algorithm that optimizes capacitated vehicle routing problem. Expert Systems with Applications, 36(2), 2921-2936"
Multiple-resource and multiple-depot emergency response problem considering secondary disasters
Parallelized genetic ant colony systems for solving the traveling salesman problem
Semantic-guided graph neural network for heterogeneous graph embedding
A mask-guided ControlNet algorithm for local motion blur removal based on frequency-domain prompts
FlotSegNet: A lightweight attention-based 3D encoder architecture for efficient segmentation of floating river debris in multi-spectral satellite imagery
Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1 H Magnetic Resonance Spectroscopy data
Deep convolutional features for image retrieval
Learning cross-level certain and possible rules by rough sets
Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in Metaverse virtual community
Expert system for open-loop power control of wireless local area networks
Knowledge acquisition for decision support systems on an electronic assembly line
A multi-feature selection fused with investor sentiment for stock price prediction
A novel multi-task linear mixed model for smartphone-based telemonitoring
IFC-Filter: Membership function generation for inductive fuzzy classification
Electroencephalographic biomarker-guided early detection of Alzheimer's disease via cortically subdivided neurodynamic PINN
Forecasting through deep learning and modal decomposition in two-phase concentric jets
Carbon-constrained microgrid energy management: A two-stage framework with risk optimization
Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making
Path planning algorithm of steerable flexible needle: A review
A novel model incorporating deep learning and Kalman filter augmentation for route-level bus arrival time prediction with error accumulation mitigation
Intelligent-search technique based strategic placement of synchronized measurements for power system observability
Graph neural network for traffic forecasting: A survey
A parameter selection strategy for particle swarm optimization based on particle positions
Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation
A novel concavity based method for automatic segmentation of touching cells in microfluidic chips
A hierarchical clustering algorithm and an improvement of the single linkage criterion to deal with noise
Multi-Image compressive encryption via a dynamic delayed feedback chaotic system and synchronized fractal diffusion
Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint
New rule-based phishing detection method