yusuke1997/dblp-id-title huggingface dataset:
SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers
Genetic structure, consanguineous marriages and economic development: Panel cointegration and panel cointegration neural network analyses
A meta-active learning approach exploiting instance importance
Rehabilitation motion recognition based on the international biomechanical standards
ESPSA: A prediction-based algorithm for streaming time series segmentation
Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution
Real-time vehicular accident prevention system using deep learning architecture
When two chains meet: Optimizing the design of blockchain-enabled supply chain networks
Three-way group decision based on regret theory under dual hesitant fuzzy environment: An application in water supply alternatives selection
Dynamic independent component analysis approach for fault detection and diagnosis
LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues
Filter group delays equalization for 2D discrete wavelet transform applications
Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer
A unified model of the co-creation process
Improving exploration efficiency of deep reinforcement learning through samples produced by generative model
An NLP-based approach to assessing a company's maturity level in the digital era
Shadow removal method for high-resolution aerial remote sensing images based on region group matching
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data
Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing
Classification of sewer pipe defects based on an automatically designed convolutional neural network
A structure-characteristic-aware network embedding model via differential evolution
Linearized circular energy curve color image segmentation based on Tsallis entropy
Contrastive graph learning long and short-term interests for POI recommendation
Sampling diversity driven exploration with state difference guidance
Underwater variable zoom: Depth-guided perception network for underwater image enhancement
A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack
Remote sensing image super-resolution and object detection: Benchmark and state of the art
Sentiment analysis using EEG activities for suicidology
Discovering frequent itemsets over transactional data streams through an efficient and stable approximate approach
Dynamic sanctioning mechanism for cooperative multi-agent systems
AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics
A context-aware data mining process model based framework for supporting evaluation of data mining results
A novel attention-based deep learning method for post-disaster building damage classification
DPFSI: A legal judgment prediction method based on deontic logic prompt and fusion of law article statistical information
Structure-Aware Transformer for hyper-relational knowledge graph completion
Mode decomposition based large margin distribution machines for sediment load prediction
A flexible transfer learning framework for Bayesian optimization with convergence guarantee
A two-phase approach for unexpected pattern mining
Segmenting visitors of cultural events: The case of Christmas Market
Artificial intelligence solution to transmission loss allocation problem
Deep learning regression for photovoltaic soiling quantification using multi-source drone-ground imaging
Improving the performance of neural networks in classification using fuzzy linear regression
Selection of new production facilities with the Group Analytic Hierarchy Process Ordering method
An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment
The probabilistic pickup-and-delivery travelling salesman problem
A hybrid genetic algorithm for no-wait job shop scheduling problems
MADViT: A vision transformer-based multilayer distillation framework for explainable anomaly detection in aerial imagery
Multilingual and tunisian dialect analysis of banking app reviews using LLMs
Dynamic group decision-making for enterprise resource planning selection using two-tuples Pythagorean fuzzy MOORA approach
CAGNet: Coordinated attention guidance network for RGB-T crowd counting
A new approach for ranking of L-R type generalized fuzzy numbers
Adaptive two-way uniform partition for multicast routing problem with separate paths in ad hoc networks
Region compatibility based stability assessment for decision trees
Embedding dynamic graph attention mechanism into Clinical Knowledge Graph for enhanced diagnostic accuracy
Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach
HyperSegmenter: Reappraising the potential of large kernel CNN architecture in efficient semantic segmentation
Monarch butterfly optimization: A comprehensive review
An infinite Gaussian mixture model with its application in hyperspectral unmixing
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction
NIDS-DA: Detecting functionally preserved adversarial examples for network intrusion detection system using deep autoencoders
A reliable deep representation learning to improve trust-aware recommendation systems
Combined quasi-static backward modeling and look-ahead fuzzy control of vehicles
Empirical approaches in knowledge city research
A survey of large language models for data challenges in graphs
Fuzzy dual-factor time-series for stock index forecasting
A binary classification method for bankruptcy prediction
Collective intelligent strategy for improved segmentation of COVID-19 from CT
Dimensionality reduction for computer facial animation
Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder
Dynamic Hierarchical Attention Network for news recommendation
An EEG-based cross-subject interpretable CNN for game player expertise level classification
Adaptive cruise control of a HEV using sliding mode control
A new hybrid method based on partitioning-based DBSCAN and ant clustering
A new decision making structure for managing arriving orders in MTO environments
Representation of context-dependant knowledge in ontologies: A model and an application
Hierarchical Genetic Algorithm for dynamic time slot allocation in TD-CDMA TDD systems
Fuzzy efficiency measures in fuzzy DEA/AR with application to university libraries
A two-phased semantic optimization modeling approach on supplier selection in eProcurement
Forecasting daily stock market return using dimensionality reduction
Z-relation equation-based decision making
An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle
Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data
A fuzzy-based decision support model for engineering asset condition monitoring - A case study of examination of water pipelines
EK-Net++: Real-time scene text detection with expand kernel distance and Epoch Adaptive Weight
A novel reconstructed training-set SVM with roulette cooperative coevolution for financial time series classification
A hybrid approach using Z-number DEA model and Artificial Neural Network for Resilient supplier Selection
An associative memory-based learning model with an efficient hardware implementation in FPGA
Novel automatic group identification approaches for group recommendation
Best practices in Analytic Network Process studies
Supervised contrastive ResNet and transfer learning for the in-vehicle intrusion detection system
Branch-and-bound algorithm for optimal sparse canonical correlation analysis
Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual university campuses
The incomplete analytic hierarchy process and Bradley-Terry model: (In)consistency and information retrieval
A new and robust method for character segmentation and recognition in license plate images
Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city, Vietnam
Solving continuous optimization problems using the tree seed algorithm developed with the roulette wheel strategy
A two-stage methodology for gene regulatory network extraction from time-course gene expression data
A parametric synthetic data generator for training learning-based sperm analysis systems
Mixup-based maximum distribution difference selection strategy for domain generalization
An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting
Competitive scheduling in a hybrid flow shop problem using multi-leader-multi-follower game - A case study from Iran
Towards improving usage and management of supplies in healthcare: An ontology-based solution for sharing knowledge
A goal programming model for scheduling residents in an anesthesia and reanimation department
Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy space
Monitoring students' actions and using teachers' expertise in implementing and evaluating the neural network-based fuzzy diagnostic model
A zero-watermarking scheme for medical images based on a stacked sparse autoencoder network
Hierarchical Estimator
Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing
Breakout local search for the traveling salesman problem with job-times
DBCT-Net:A dual branch hybrid CNN-transformer network for remote sensing image fusion
Multi-MELO: Unified multimodal model editing with dynamic LoRA
Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets
Advanced Residual Transformer (ART) method for identification of bile duct dilatation on CT data
Parallel dynamic NSGA-II with multi-population search for rescheduling of Seru production considering schedule changes under different dynamic events
HMS-RRT: A novel hybrid multi-strategy rapidly-exploring random tree algorithm for multi-robot collaborative exploration in unknown environments
Prediction of shear development in clean sands by use of particle shape information and artificial neural networks
A document-level relation extraction method based on dual-angle attention transfer fusion
Value management and common accounting performance measures for corporations
A situation-aware system for the detection of motion disorders of patients with Autism Spectrum Disorders
Combating contamination incidents: the value of blockchain for competing retailers
Application of the novel harmony search optimization algorithm for DBSCAN clustering
Air pollution measurement based on hybrid convolutional neural network with spatial-and-channel attention mechanism
A novel epidemic-logistics optimization model for Fangcang hospital allocation with fairness consideration
Reverse image search for scientific data within and beyond the visible spectrum
Detection of artificial intelligence-generated essays for academic assessment integrity using large language models
Multi-objective optimization of TSK fuzzy models
CrowdLOC-S: Crowdsourced seamless localization framework based on CNN-LSTM-MLP enhanced quality indicator
Evaluating industry performance using extracted RGR rules based on feature selection and rough sets classifier
Analyzing CARLA 's performance for 2D object detection and monocular depth estimation based on deep learning approaches
Time-frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique
An integrated location-transportation problem under value-added tax issues in pharmaceutical distribution planning
Modified snake optimizer based multi-level thresholding for color image segmentation of agricultural diseases
Rough set approach to case-based reasoning application
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters
Multi-granular spatial-temporal synchronous graph convolutional network for robust action recognition
Knowledge enhanced and guided graph contrastive learning for molecular property prediction
Moderating effects of technology acceptance perspectives on e-service quality formation: Evidence from airline websites in Taiwan
Probabilistic risk assessment of tunneling-induced damage to existing properties
Unified structure-aware feature learning for Graph Convolutional Network
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map
A fuzzy query engine for suggesting the products based on conformance and asymmetric conjunction
Object oriented time series exploration: Applied to power consumption analysis of embedded systems
A multimedia retrieval framework highlighting agents and coordinating their interactions to address the semantic gap
A multi-objective optimization approach for sustainable and personalized trip planning: A self-adaptive evolutionary algorithm with case study
Knowledge-based approach to improving detailing plan in multiple product situations using PDE weights
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting
A comprehensive decision support system for stock investment decisions
Detection of moving objects in roundabouts based on a monocular system
Portable vision-based gait assessment for post-stroke rehabilitation using an attention-based lightweight CNN
CoSemiGNN: Blockchain fraud detection with dynamic graph neural networks based on co-association of semi-supervised
Per-title and per-segment CRF estimation using DNNs for quality-based video coding
Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance
Research on conceptual design process model based on function association
Intelligent stock trading system by turning point confirming and probabilistic reasoning
A genetic algorithm-based scheduler for multiproduct parallel machine sheet metal job shop
Predicting software project effort: A grey relational analysis based method
Bandit-based data poisoning attack against federated learning for autonomous driving models
Comparing a multiobjective optimization algorithm for discovering driving strategies with humans
Supergraph based periodic pattern mining in dynamic social networks
Feedback controlled particle swarm optimization and its application in time-series prediction
Closest target setting for two-stage network system: An application to the commercial banks in China
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Handling multi-granular hesitant information: A group decision-making method based on cross-efficiency with regret theory
A decision support system for diagnosis related groups coding
An EEG based hierarchical classification strategy to differentiate five intensities of pain
Formulation and exact algorithms for electric vehicle production routing problem
Q-learning embedded sine cosine algorithm (QLESCA)
Out-of-distribution detection under the paradigm of pre-training and fine-tuning: A regularization-based approach
Large-volume LEO satellite imaging data networked transmission scheduling problem: Model and algorithm
An enhanced separable reversible and secure patient data hiding algorithm for telemedicine applications
Search spaces representation in optimization problems
Nonlinear predictive control to track deviated power of an identified NNARX model of a hydro plant
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation
A matrix-assisted surrogate particle swarm optimization algorithm for multi-objective deployment of solar insecticidal lamps
Iterated local search heuristics for the Vehicle Routing Problem with Cross-Docking
The performance comparison of discrete wavelet neural network and discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition
RFID reader anti-collision algorithm using adaptive hierarchical artificial immune system
A sustainable flexible manufacturing-remanufacturing model with improved service and green investment under variable demand
Quantum Metabolic Avatar: A digital replica of metabolism enhanced by quantum algorithms
A military fleet mix problem for high-valued defense assets: A simulation-based optimization approach
MACE-SCM: A multi-agent and case-based reasoning collaboration mechanism for supply chain management under supply and demand uncertainties
Evaluating the process of a genetic algorithm to improve the back-propagation network: A Monte Carlo study
Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studies
Cost efficiency of Chinese banks: Evidence from DEA and MLP-SSRP analysis
Temporal-frequency enhanced fourier neural operator and collaborative adversarial learning for multi-physics-coupled transient simulation of natural gas pipelines
A hybrid time-frequency method based on improved Morlet wavelet and auto terms window
GDKansformer: A group-wise dynamic Kolmogorov-Arnold transformer with multi-view gated attention for pathological image diagnosis
PVAFN: Point-Voxel Attention Fusion Network with Multi-Pooling Enhancing for 3D Object Detection
A predictive model for cerebrovascular disease using data mining
Mean-variance portfolio optimization with deep learning based-forecasts for cointegrated stocks
Basis path coverage testing of MPI programs based on multi-task evolutionary optimization
An efficient approach for building customer profiles from business data
IMM fuzzy probabilistic data association algorithm for tracking maneuvering target
A note on truth value in uncertain logic
Tempnet: A graph convolutional network for temperature field prediction of fire-damaged concrete
A new initialization method for categorical data clustering
Learning consistent representations with temporal and causal enhancement for knowledge tracing
Remaining capacity prediction of lithium-ion battery based on the feature transformation process neural network
k-best feature selection and ranking via stochastic approximation
A sensor planning system for automated headlamp lens inspection
A new automatic target recognition system based on wavelet extreme learning machine
Classify epileptic EEG signals using weighted complex networks based community structure detection
An adaptive large neighborhood search heuristic for solving a robust gate assignment problem
A novel pseudo-random number generator based on multivariable optimization for image-cryptographic applications
A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem
SMOMCCS: Minimum compact coverage oversampling approach for imbalanced data classification
Automatic dimensional quality inspection system for regular precast concrete elements based on 3D structure lighting scan technology
Ill-posed regions-aware self-supervised stereo matching with left-right consistency
Finding local influential communities in large weighted networks
An animal dynamic migration optimization method for directional association rule mining
Semi-supervised boundary-aware medical image segmentation via symmetric boundary-foreground collaboration
Snow ablation optimizer: A novel metaheuristic technique for numerical optimization and engineering design
Graph-based approaches for rumor detection in social networks: a systematic review
Subject adaptation using selective style transfer mapping for detection of facial action units
An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm
Expert system for non-technical loss detection in power distribution grids using particle swarm optimization and nested power flow integration
A semi-supervised resampling method for class-imbalanced learning
Combining contrastive learning and shape awareness for semi-supervised medical image segmentation
Reinforced temporal graph neural networks for class-imbalanced log anomaly detection
Hybrid simulated annealing and tabu search method for the electric travelling salesman problem with time windows and mixed charging rates
Uncertain utility portfolio optimization based on two different criteria and improved whale optimization algorithm
Cross-scale collaborative network for single image super resolution
An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm
Novel ML-driven intrusion detection system for optimizing network security
Regression application based on fuzzy nu-support vector machine in symmetric triangular fuzzy space
Multi-population differential evolution approach for feature selection with mutual information ranking
Robust multi-period portfolio model based on prospect theory and ALMV-PSO algorithm
Neural network modeling of consumer satisfaction in mobile commerce: An empirical analysis
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers
Cattle incremental learning identification method based on phased dynamic expansion network
A survey of blockchain consensus algorithms performance evaluation criteria
VODKA: Variant objects discovering knowledge acquisition
A novel combinational response mechanism for dynamic multi-objective optimization
A TSK type fuzzy rule based system for stock price prediction
Experimental analysis of tardiness in preemptive single machine scheduling
Multi-view semantic enhancement model for few-shot knowledge graph completion
Hybrid recommendation system for movies using artificial neural network
On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets
Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes
3DEG: Data-Driven Descriptor Extraction for Global re-localization in subterranean environments
BSEM estimation of network effect and customer orientation empowerment on trust in social media and network environment
Two dimensional bandwidth minimization problem using a novel evaluation function
RESI: A Region-Splitting Imputation method for different types of missing data
Service planning oriented efficient object search: A knowledge-based framework for home service robot
CPT-SFM: Conical-planar target-based stepwise feature matching calibration for heterogeneous multi-LiDAR systems
Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR
Dual learning based Pareto evolutionary algorithm for a kind of multi-objective task assignment problem
AutoRepo: A general framework for multimodal LLM-based automated construction reporting
LMFENet: A hybrid local-global and multi-scale feature extraction network for oil spill type classification using sentinel-1 imagery
Software agents for knowledge management: coordination in multi-agent supply chains and auctions
Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems
Intelligent timetable evaluation using fuzzy AHP
Why does Knowledge Distillation work? Rethink its attention and fidelity mechanism
I know you're a fraud: Uncovering illicit activity in a Greek bank transactions with unsupervised learning