yusuke1997/dblp-id-title huggingface dataset:
Optimized Multi-Algorithm Voting: Increasing objectivity in clustering
Efficient algorithms for discrete resource allocation problems under degressively proportional constraints
Fuzzy confidence intervals for mean of Gaussian fuzzy random variables
Real-time water demand pattern estimation using an optimized extended Kalman filter
Supplier evaluation based on Nash bargaining game model
Energy consumption and carbon emission modeling and forecasting study with novel deep learning methods
An investigation on Wu-Leung multi-scale information systems and multi-expert group decision-making
An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels
A bi-objective green vehicle routing problem with a mixed fleet of conventional and electric trucks: Considering charging power and density of stations
CASTLE: Cluster-aided space transformation for local explanations
Bousi∼Prolog: Design and implementation of a proximity-based fuzzy logic programming language
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
Designing and implementing a collaborative health knowledge system
A systematic review of healthcare recommender systems: Open issues, challenges, and techniques
Feature fatigue analysis in product development using Bayesian networks
Many-objective fuzzy centroids clustering algorithm for categorical data
A knowledge-based system to assist university administrators in meeting disability act requirements
Neutrosophic set based local binary pattern for texture classification
REFER: Randomized Online Factor Selection Framework for portfolio Management
Temporal patterns and life cycle dynamics of social media user activity during disasters: A data-driven approach for effective crisis communication
TAD: A trajectory clustering algorithm based on spatial-temporal density analysis
Adaptive neuro fuzzy estimation of underactuated robotic gripper contact forces
A comprehensive characterizations of zebrafish rheotactic behaviors and its application to otoprotective drug screening
Fuzzy attitude control for a nanosatellite in low Earth orbit
Developing an assessment framework for managing sustainability programs: A Analytic Network Process approach
Mining top-k co-occurrence items with sequential pattern
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
SecFL - Secure Federated Learning Framework for predicting defects in sheet metal forming under variability
Driver-rider matching and route optimization in carpooling service for delivering intercity commuters to the high-speed railway station
Improved churn prediction in telecommunication industry by analyzing a large network
Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Knowledge graph preference migration network for recommendation
Selecting knowledge management strategies by using the analytic network process
Stratified opposition-based initialization for variable-length chromosome shortest path problem evolutionary algorithms
Autonomous bus timetable synchronization for maximizing smooth transfers with passenger assignment
Artificial neural networks for predicting dorsal pressures on the foot surface while walking
A hybridisation of adaptive variable neighbourhood search and large neighbourhood search: Application to the vehicle routing problem
Efficient weighted sequential pattern mining
Pricing decision in an uncertain green product supply chain under cost sharing contract
Automated drowsiness detection through wavelet packet analysis of a single EEG channel
Volatility forecast using hybrid Neural Network models
Inspired by "Focus, Fusion, Collaboration": A multi-level ensemble network for automatic pneumonia diagnosis from full slice CT images
Dynamic shopfloor scheduling in multi-agent manufacturing systems
A dynamic time warped clustering technique for discrete event simulation-based system analysis
Multi-perspective ontologies: Resolving common ontology development problems
Weight decay regularized adversarial training for attacking angle imbalance
A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G
Multi-stage dehazing network: Where haze perception unit meets global and local progressive contrastive regularization
Predicting and understanding long-haul truck driver turnover using driver-level operational data and supervised machine learning classifiers
Stacking hybrid GARCH models for forecasting Bitcoin volatility
Advanced street lighting control
Blockchain for consortium: A practical paradigm in agricultural supply chain system
A method for the selection of customized equipment suppliers
Wavelet selection for disease classification by DNA microarray data
An improved flood forecasting system with cluster based visualization and analyzing using GK-ANFIS and CGDNN
Application of support vector machines to corporate credit rating prediction
Eating and drinking gesture spotting and recognition using a novel adaptive segmentation technique and a gesture discrepancy measure
Analysis of cybercrimes and security in FinTech industries using the novel concepts of interval-valued complex q-rung orthopair fuzzy relations
Training-free, Identity-preserving Image Editing for Fashion Pose Alignment and Normalization
A game-based approach towards facilitating decision making for perishable products: An example of blood supply chain
A Multi-attribute bidding strategy for a single-attribute auction marketplace
The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions
Vehicles driving behavior recognition based on transfer learning
A mathematical model for product selection strategies in a recommender system
A genetic algorithm approach for multi-product multi-period continuous review inventory models
Combined data augmentation framework for generalizing deep reinforcement learning from pixels
Corrigendum "Recommender system for software project planning one application of revised CBR algorithm" [Experts Systems with Applications 36 (5) (2009) 8938-8945]
Default discrimination of credit card: Feature combination selection based on improved FDAF-score
Design and evaluation of a smart insole: Application for continuous monitoring of frail people at home
Harnessing the power of Wav2Vec2 and CNNs for Robust Speaker Identification on the VoxCeleb and LibriSpeech Datasets
Heterogeneous depots vehicle routing problem with sequential visiting
On the exploitation of the blockchain technology in the healthcare sector: A systematic review
Efficient bi-traits identification using CEDRNN classifier for forensic applications
The Harmony Search algorithm with additional improvement of harmony memory for Asymmetric Traveling Salesman Problem
Fuzzy vector quantization with a step-optimizer to improve pattern classification
Acoustic fault diagnosis of three-phase induction motors using smartphone and deep learning
AdaMetaSRE: An adaptive meta semi-supervised relation extraction model for aircraft fault maintenance
NRDL: Decentralized user preference learning for privacy-preserving next POI recommendation
A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm
Remote intervention assistance system for a person in difficulty based on probabilistic ontologies
Dual deep neural networks-accelerated non-dominated sorting moth flame optimizer for distributed multi-objective economic dispatch
Aquaculture defects recognition via multi-scale semantic segmentation
Optimal sepsis patient treatment using human-in-the-loop artificial intelligence
A general maximal margin hyper-sphere SVM for multi-class classification
D+∗: A risk aware platform agnostic heterogeneous path planner
A novel hybrid ensemble forecasting method based on seasonal feature matching for photovoltaic power generation forecasting
Forecasting Bike Sharing Demand Using Quantum Bayesian Network
Applicability of feed-forward and recurrent neural networks to Boolean function complexity modeling
Multi-agent based modeling and learning approach for intelligent day-ahead bidding strategy in wholesale electricity market
Dynamic pixel shuffling and hash LSB steganography with RC4 encryption: A robust data security framework
Hybrid direct combination color constancy algorithm using ensemble of classifier
Style selective normalization with meta learning for test-time adaptive face anti-spoofing
Global-prior-guided fusion network for salient object detection
Gender classification in smartphones using gait information
Exploring the specific capacity of different multi criteria decision making approaches under uncertainty using data from financial markets
Designing a resilient cloud network fulfilled by reinforcement learning
Regulation of the buyers' distribution in management systems based on simultaneous auctions and intelligent agents
A novel oppositional teaching learning strategy based on the golden ratio to solve the Time-Cost-Environmental impact Trade-Off optimization problems
Med-D3CG: wavelet-based diffusion in the difference domain for cross-modality medical image generation
A formal framework for multi-agent systems analysis and design
Deep learning approaches for COVID-19 detection based on chest X-ray images
CFMCRS: Calibration fuzzy- metaheuristic clustering routing scheme simultaneous in on-demand WRSNs for sustainable smart city
Data poisoning attacks against machine learning algorithms
Multi-criteria recommender system based on social relationships and criteria preferences
An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs
Design of model-based unbalance compensator with fuzzy gain tuning mechanism for an active magnetic bearing system
A hierarchical attention detector for bearing surface defect detection
Unlocking the power of artificial intelligence for pangolin protection: Revolutionizing wildlife conservation with enhanced deep learning models
Theory of fractional covariance matrix and its applications in PCA and 2D-PCA
Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions
Adaptive control via deep neural networks with an event-triggered mechanism
Representing similarities of map projections: An approach to approximate integrations and dimensionality reductions
Eye-gaze estimation under various head positions and iris states
Doubts on the reliability of parallel corpus filtering
Dominance relation-based feature selection for interval-valued multi-label ordered information system
Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming
Advance in the bat acoustic identification systems based on the audible spectrum using nonlinear dynamics characterization
MFAR-Net: Multi-level feature interaction and Dual-Dimension adaptive reinforcement network for breast lesion segmentation in ultrasound images
Fuzzy linear regression based on a hybrid of fuzzy C-means and the fuzzy inference system for predicting serum iron levels in patients with chronic kidney disease
TCFACO: Trust-aware collaborative filtering method based on ant colony optimization
Investigate an imperfect green production system considering rework policy via Teaching-Learning-Based Optimizer algorithm
Inter-frame residual frequency-based reconstruction learning for deep video frame interpolation detection
Development of an artificial neural network model for adsorption and photocatalysis of reactive dye on TiO 2 surface
Dynamic pricing and inventory control of perishable products by a deep reinforcement learning algorithm
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals
SIB-UNet: A dual encoder medical image segmentation model with selective fusion and information bottleneck fusion
Neural network-based active power curtailment for overvoltage prevention in low voltage feeders
How effective are discrete-continuous multi-task learning compared to single-output models? Insights from travel mode and departure time analysis
Dynamic question generation system for web-based testing using particle swarm optimization
Meta heuristics for dependent portfolio selection problem considering risk
What can rhetoric bring us? Incorporating rhetorical structure into neural related work generation
An attention-based CNN-BiLSTM hybrid neural network enhanced with features of discrete wavelet transformation for fetal acidosis classification
Malicious web content detection by machine learning
StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction
Do transparency and disclosure predict firm performance? Evidence from the Taiwan market
DD-MID: An innovative approach to assess model information discrepancy based on deep dream
Online detection of weld surface defects based on improved incremental learning approach
Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection
Inverse-free Jacobian-estimated zeroing neural network model for mechanical arm path tracking with minimal joint motion
SDA-PVTDet: A spatial-cross dual attention pyramid vision transformer detector for casting defect detection in radiography images
Gender detection and identifying one's handwriting with handwriting analysis
Comparing appropriate decision support of human resource practices on organizational performance with DEA/AHP model
DeepFake detection based on high-frequency enhancement network for highly compressed content
A forecasting system for car fuel consumption using a radial basis function neural network
Do teams need their employees to work remotely? A simulation analysis based on a multi-layer interactive system
Automatic detection of the best performing priority rule for the resource-constrained project scheduling problem
Wind turbine fault detection based on deep residual networks
New Criteria of Event-triggered Exponential State Estimation for Delayed semi-Markovian Memristor-based Neural Networks
A fuzzy-HAZOP/ant colony system methodology to identify combined fire, explosion, and toxic release risk in the process industries
Neighborhood rough set and SVM based hybrid credit scoring classifier
Treatment of skewed multi-dimensional training data to facilitate the task of engineering neural models
Acceptable costs of minimax regret equilibrium: A Solution to security games with surveillance-driven probabilistic information
Fractional data driven controller based on adaptive neural network optimizer
Optical sensor measurement and biometric-based fractal pattern classifier for fingerprint recognition
A hybrid machine learning model based on ensemble methods for devices fault prediction in the wood industry
An enhanced obstacle-aware deployment scheme with an opposition-based competitive swarm optimizer for mobile WSNs
Deep multi-view least squares support vector machine with consistency and complementarity principle based on cross-output knowledge transfer
A novel dynamic timed fuzzy Petri nets modeling method with applications to industrial processes
Enhanced security and efficiency in flying ad-hoc networks through blockchain-enabled clustering routing and optimized rotation-invariant coordinate convolutional neural networks
Evaluating the impact of distribution static compensators on power quality enhancement with finite element interpolated neural networks in modern power systems
Control of attendance applied in higher education through mobile NFC technologies
Automatic detonator code recognition via deep neural network
Applying Goldratt's Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling
Using binary classifiers for one-class classification
A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns
On an algorithm for human action recognition
Gesture recognition: A review focusing on sign language in a mobile context
Unsupervised domain adaptive object detection via discriminative instance teacher
Feature optimization method for the localization technology on loose particles inside sealed electronic equipment
Multimodal feature learning for gait recognition of camouflaged individuals
Simplifying graph contrastive learning with single feature fusion and column vector orthogonal noise
A time-aware spatio-textual recommender system
An Adaptive Neuro-Fuzzy Inference System modeling for material removal rate in stationary ultrasonic drilling of sillimanite ceramic
Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method
A hybrid algorithm for packing identical spheres into a container
MuSe-CarASTE: A comprehensive dataset for aspect sentiment triplet extraction in automotive review videos
Predicting body fat using a novel fuzzy-weighted approach optimized by the whale optimization algorithm
Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting
Collaborative knowledge distillation via filter knowledge transfer
Adaptive decoupling planning method for the product crowdsourcing design tasks based on knowledge reuse
A multi-view ensemble clustering approach using joint affinity matrix
Estimating available supermarket commodities for food bank collection in the absence of information
Enhancing discriminative appearance model for visual tracking
A novel evaluation method for renewable energy development based on improved sparrow search algorithm and projection pursuit model
Bridging the implementation gaps in the knowledge management system for enhancing corporate performance
Data mining models for student careers
Variational spatial-temporal graph attention network for state monitoring and forecasting
Finite length white noise generation with an immuno inspired algorithm
Bio-inspired feature selection to select informative image features for determining water content of cultured Sunagoke moss
The correlation between Wikipedia and knowledge sharing on job performance
On genetic algorithms for shoe making nesting - A Taiwan case
Can machine learning classification methods improve the prediction of leaf wetness in North-Western Europe compared to established empirical methods?
Autonomous navigation of non-perception firefighting robot through CCTV-informed vision sharing
On filling the intra-class and inter-class gaps for few-shot segmentation
Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection
An effective procedure exploiting unlabeled data to build monitoring system
A modular approach for lexical normalization applied to Spanish tweets
Multi-mode project portfolio selection and scheduling in a build-operate-transfer environment
Automatic classification of carbonate rocks permeability from 1 H NMR relaxation data
Knowledge-driven hierarchical intents modeling for recommendation
Fast transient stability assessment of large power system using probabilistic neural network with feature reduction techniques
A new difference feature extraction method of slewing bearings in wind turbines via optimization bispectrum domain model
Imbalanced customer churn classification using a new multi-strategy collaborative processing method
Temporary safety zone site selection during haze Pollution: An integrated approach with FAHP and FTOPSIS
Particle swarm optimization based on particle perturbation and elite preservation strategies for dynamic optimization problems
Selecting prospects for cross-selling financial products using multivariate credibility
The use of unmanned ground vehicles (mobile robots) and unmanned aerial vehicles (drones) in the civil infrastructure asset management sector: Applications, robotic platforms, sensors, and algorithms
OBhunter: An ensemble spectral-angular based transformer network for occlusion detection
Ontological recommendation multi-agent for Tainan City travel
Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder
Classification of physiological signals for wheel loader operators using Multi-scale Entropy analysis and case-based reasoning
Two heuristic approaches for clustered traveling salesman problem with d -relaxed priority rule
ILP-based concept discovery in multi-relational data mining
Constructing composite indicators with imprecise data: A proposal
A simulated annealing approach with probability matrix for semiconductor dynamic scheduling problem
Efficient, effective, or both? The effect of immersion and goal on design review team performance
Dual-channel early rumor detection based on factual evidence
Discovering cardholders' payment-patterns based on clustering analysis
Dynamic imputation for improved training of neural network with missing values
An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry
Integrating genetic algorithm and decision tree learning for assistance in predicting in vitro fertilization outcomes
Towards large-scale multi-objective feature selection: A two-stage evolutionary algorithm guided by dual feature weightings
The generic genetic algorithm incorporates with rough set theory - An application of the web services composition
Feature selection for text classification with Naïve Bayes
Integration of EEG-based BCI technology in IoT enabled smart home environment: An in-depth comparative analysis on human-computer interaction techniques
The BIOGENES system for knowledge-based bioprocess control
Obtaining industrial experimental designs using a heuristic technique
Open world long-tailed data classification through active distribution optimization
GA-based approach to optimize an equivalent electric circuit model of a Li-ion battery-pack
Feature subset selection with cumulate conditional mutual information minimization
A distributed and asynchronous approach for optimizing weighted graph matchings in wireless network services
Bidder-anonymous English auction protocol based on revocable ring signature
Deep learning-based counter anti-forensic of GAN-based attack in HEVC compressed domain using coding pattern analysis
Improving forecasting model for fuzzy time series using the Self-updating clustering and Bi-directional Long Short Term Memory algorithm
Object-oriented change detection for the city of Harare, Zimbabwe
A multiple feature construction method based on gravitational search algorithm
Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images
Classification of sentiment reviews using n-gram machine learning approach
Time-aware personalized graph convolutional network for multivariate time series forecasting
A unified framework for image compression and segmentation by using an incremental neural network
Q-ACRY: Efficient Q-learning based Adaptive Crop Rotation technique for maximizing Yield
Physiological signal based detection of driver hypovigilance using higher order spectra
Survey of conversational agents in health
A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals
Fingerprint template protection with minutiae-based bit-string for security and privacy preserving
Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies
Non-Gaussian feature distribution forecasting based on ConvLSTM neural network and its application to robust machine condition prognosis
MLP-CFAR for improving coherent radar detectors robustness in variable scenarios
Talking human face generation: A survey
Cooperativeness prediction in P2P networks
Graph Neural Network Enhanced Dual-Branch Network for lesion segmentation in ultrasound images
Using the artificial neural network to predict fraud litigation: Some empirical evidence from emerging markets