yusuke1997/dblp-id-title huggingface dataset:
Risk identification and assessment for build-operate-transfer projects: A fuzzy multi attribute decision making model
On the design of hardware architectures for parallel frequent itemsets mining
Genetic algorithm for feature selection of EEG heterogeneous data
A novel data-driven rolling horizon production planning approach for the plastic industry under the uncertainty of demand and recycling rate
Event graphs for information retrieval and multi-document summarization
A frame knowledge system for managing financial decision knowledge
Exploring fairness in food delivery routing and scheduling problems
Automated real estate valuation with machine learning models using property descriptions
The knowledge-driven adaptive late acceptance iterative hill-climbing heuristics for the bus and ADR collaborative delivery problem
UbiDSS: a proactive intelligent decision support system as an expert system deploying ubiquitous computing technologies
Global stability analysis of interval neural networks with discrete and distributed delays of neutral type
Review of the main developments in the analytic hierarchy process
A general framework for time-aware decision support systems
AFDFusion: An adaptive frequency decoupling fusion network for multi-modality image
Neural networks in process life cycle profit modelling
Width Attention based Convolutional Neural Network for Retinal Vessel Segmentation
A review of few-shot fine-grained image classification
MK-Means: Detecting evolutionary communities in dynamic networks
Agent oriented intelligent fault diagnosis system using evidence theory
Aptenodytes Forsteri optimization algorithm based on adaptive perturbation of oscillation and mutation operation for image multi-threshold segmentation
3D automatic levels propagation approach to breast MRI tumor segmentation
Applying a kernel function on time-dependent data to provide supervised-learning guarantees
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images
CNNpred: CNN-based stock market prediction using a diverse set of variables
Application of high-level fuzzy Petri nets to educational grading system
Solving electric vehicle routing problem with recharging and battery swapping using a collaborative decision attention network
SimMix: Local similarity-aware data augmentation for time series
Data-driven analysis of usage-feature interactions for new product design
Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
BIGOWL: Knowledge centered Big Data analytics
Transfer learning based covariance matrix adaptation for evolutionary many-objective optimization
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning
A conversational recommender system for diagnosis using fuzzy rules
Applications of web mining for marketing of online bookstores
A fuzzy-based decision-making procedure for data warehouse system selection
EM-Net: Effective and morphology-aware network for skin lesion segmentation
Survival classification of Gliomas through a novel enhancement-based strategy for class overlap of radiomics features
EDSV-Net: An efficient defect segmentation network based on visual attention and visual perception
Improving lexical coverage of text simplification systems for Spanish
Towards zero-shot cross-lingual named entity disambiguation
A hybrid electromagnetism-like algorithm for single machine scheduling problem
Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks
To disclose or to conceal? Comparison of different disclosure policies in queues with loss-averse customers
Modelling of automobile shredder residue recycling in the Japanese legislative context
Design and implementation of an intelligent recommendation system for tourist attractions: The integration of EBM model, Bayesian network and Google Maps
Psycho-Clonal algorithm based approach to solve continuous flow shop scheduling problem
Clustering Search and Variable Mesh Algorithms for continuous optimization
An enhanced matrix completion method based on non-negative latent factors for recommendation system
A deep residual reinforcement learning algorithm based on Soft Actor-Critic for autonomous navigation
Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach
Decentralizing construction AI applications using blockchain technology
A survey of state-of-the-art on visual SLAM
Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market
A modified particle swarm optimization using adaptive strategy
Fraud detection based on GNNs with local augmentation and adaptive relation aggregation
An analytical framework for integrated maritime terminal scheduling problems with time windows
A fingerprint retrieval system based on level-1 and level-2 features
Clustering-based multiple instance learning with multi-view feature
Automated design system for drawing dies
Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers
Complex network tools in building expert systems that perform framing analysis
An intelligent way to predict the building thermal needs: ANNs and optimization
Events-based semantic services composition in Industry 4.0 using Asset Administration Shell meta-model for digital twins
LRM-MVSR: A lightweight birdsong recognition model based on multi-view feature extraction enhancement and spatial relationship capture
DCIBCD: A dual-branch cooperative interaction method for interference-resistant binary change detection
Reducing the size of traveling salesman problems using vaccination by fuzzy selector
A machine learning approach to classify vigilance states in rats
Saliency aware image cropping with latent region pair
Efficient task assignment for spatial crowdsourcing: A combinatorial fractional optimization approach with semi-bandit learning
A Binary Social Spider Optimization algorithm for unsupervised band selection in compressed hyperspectral images
Secure reachable set consensus and output-based memory sampled-data control for T-S fuzzy MASs against cyber attacks: Its application to ship steering autopilots
Multi-source refined adversarial domain adaptation with transfer complementarity infusion for IoT intrusion detection under limited samples
Hiding informative association rule sets
Recurrent neuro fuzzy control design for tracking of mobile robots via hybrid algorithm
Ontology selection ranking model for knowledge reuse
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems
Context-aware QoS prediction for web service recommendation and selection
Cloning and tampering threats in e-Passports
Distributed multi-agent architecture for automation systems
Towards perceptual image watermarking with robust texture measurement
An immune based two-phase approach for the multiple-type surveillance camera location problem
Evidential Reasoning approach for multiple-criteria decision making: A simulation-based formulation
A new image classification method using CNN transfer learning and web data augmentation
Optimal synthesis of linear antenna arrays using a harmony search algorithm
A robust embedded biometric authentication system based on fingerprint and chaotic encryption
Product development with data mining techniques: A case on design of digital camera
Federal underwater acoustic spectrum sensing algorithm based on DCYOLO
A variable neighborhood search for the multi-depot vehicle routing problem with loading cost
Robust identification of fiducial markers in challenging conditions
Corrigendum to "Forecasting changes in Korea Composite Stock Price Index (KOSPI) using association rules" [Expert Systems with Applications 38 (2011) 9046-9049]
A novel two-stage DEA production model with freely distributed initial inputs and shared intermediate outputs
Inverse DEA based on cost and revenue efficiency in the absence of price information
Detection of false data injection attack in power grid based on spatial-temporal transformer network
Robust condition monitoring for early detection of broken rotor bars in induction motors
A novel approach for wafer defect pattern classification based on topological data analysis
When and where to transfer for Bayesian network parameter learning
Adaptive social mobility-restructuring differential evolution for global optimization
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net
NOA-LSTM: An efficient LSTM cell architecture for time series forecasting
Novel trajectory data publishing method under differential privacy
One-against-one fuzzy support vector machine classifier: An approach to text categorization
Multilingual neural machine translation by cascading computational graphs
Combinatorial auction under fuzzy environment
A robust knowledge-based plant searching strategy
Bagging schemes on the presence of class noise in classification
A multi-criteria group-based decision-making method considering linguistic neutrosophic clouds
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
A FAHP-VIKOR model for evaluating single point interchange operational performance
Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
Recognition of semiconductor defect patterns using spatial filtering and spectral clustering
Radio frequency fingerprint authentication based on feature fusion and contrastive learning
Temporal mixture density networks for enhanced investment modeling
A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting
N-type-2-ARAS: An efficient hybrid multi-criteria optimization approach for end-of-life vehicle's recycling facility location: A sustainable approach
Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management
Automatic segmentation of dynamic and static models based on high order slow feature analysis and principal component analysis for multiphase batch monitoring
Representation learning with collaborative autoencoder for personalized recommendation
Neuro-fuzzy based constitutive modeling of undrained response of Leighton Buzzard Sand mixtures
IIBNet: Inter- and Intra-Information balance network with Self-Knowledge distillation and region attention for RGB-D indoor scene parsing
Privacy preserving rule-based classifier using modified artificial bee colony algorithm
Integrating data decomposition and machine learning methods: An empirical proposition and analysis for renewable energy generation forecasting
Interaction-feedback network for multi-task daily activity forecasting
Digital twin-empowered power consumption prediction for energy-intensive aluminum annealing furnaces
Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform
Camera model identification based on forensic traces extracted from homogeneous patches
A density clustering algorithm based on Fermat neighbor points and partition allocation strategy
A computational learning pipeline for glaucoma progression detection based on the prediction of visual field changes from fundus photographs
Hybrid MCDM and simulation-optimization for strategic supplier selection
DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting
A new architecture selection method based on tabu search for artificial neural networks
Exploiting deep cross-semantic features for image retrieval
iEBAKER: Improved remote sensing image-text retrieval framework via eliminate before align and keyword explicit reasoning
Stock market prediction and portfolio composition using a hybrid approach combined with self-adaptive evolutionary algorithm
Collaborative-sequential optimization for aero-engine maintenance based on multi-agent reinforcement learning
Speaker identification using discrete wavelet packet transform technique with irregular decomposition
Dynamic contention-aware workflow scheduling on shared bus-based CPU-FPGA heterogeneous computing systems
Predictive alarm models for improving radio access network robustness
Kernelized Unified Domain Adaptation on Geometrical Manifolds
Designing context-sensitive systems: An integrated approach
Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques
Do futures improve genetically trained high-frequency technical trading rules for the Chinese index ETF market?
Enhancing adaptive failure risk prognosis for cutting tools in heterogeneous working environments: A comprehensive modeling framework
Efficient mining of extraordinary patterns by pruning and predicting
Incorporating rail transport into the waste flow and processing chain for sustainable waste handling
The speech signal enhancement approach with multiple sub-frames analysis for complex magnitude and phase spectrum recompense
CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and capsule neural networks
Activation-driven discrepancy as evidence for generalized neural interpretability
Detecting abusive Instagram comments in Turkish using convolutional Neural network and machine learning methods
Multi-Filter soft shrinkage network for knowledge graph embedding
Evolutional RBFNs prediction systems generation in the applications of financial time series data
Multi-label learning with kernel local label information
Model validation failure in class imbalance problems
Data mining-based intrusion detectors
Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study
Stacking-based multi-objective ensemble framework for prediction of hypertension
HyperNet: A conditional k-anonymous and censorship resistant decentralized hypermedia architecture
Nonintrusive system for assistance and guidance in smart homes based on electrical devices identification
Sample pair based sparse representation classification for face recognition
Performance parameters estimation of MAC by using artificial neural network
Inductive multiple clustering based on weakly-supervised salient representation learning
A comprehensive study on lane detecting autonomous car using computer vision
Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets
Multi-level fuzzy decision support framework for asset maintenance criticality: corrosion risk assessment in piping systems
The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements
ICDDPM: Image-conditioned denoising diffusion probabilistic model for real-world complex point cloud single view reconstruction
Prototype contrastive learning for point-supervised temporal action detection
Spectral unmixing based random forest classifier for detecting surface water changes in multitemporal pansharpened Landsat image
A hybrid deep-learning-metaheuristic framework for bi-level network design problems
Optimal delivery routing with wider drone-delivery areas along a shorter truck-route
EffViT-COVID: A dual-path network for COVID-19 percentage estimation
Adaptive header identification and unsupervised clustering strategy for enhanced protocol reverse engineering
An improved weighted ensemble clustering based on two-tier uncertainty measurement
Fuzzy c-means clustering algorithm for directional data (FCM4DD)
Evaluation of Dataflow through layers of convolutional neural networks in classification problems
A MCDM-based expert system for climate-change impact assessment and adaptation planning - A case study for the Georgia Basin, Canada
A new fuzzy based solution of the capacitor placement problem in radial distribution system
Rough set-based SAR analysis: An inductive method
Integrating attention-based GRU with event-driven NMPC to enhance tracking performance of robotic manipulator under actuator failure
A gradient-based lightweight network automated design method for facial expression recognition
Sequence classification for credit-card fraud detection
Evaluation method based on ranking in data envelopment analysis
Corrigendum to "WebPUM: A Web-based recommendation system to predict user future movements" [Expert Systems with Applications 37 (9) (2010) 6201-6212]
Fuzzy based reconfiguration algorithm for voltage stability enhancement of distribution systems
An anti-collision algorithm for localization of multiple chirp-spread-spectrum nodes
DiSeg 1.0: The first system for Spanish discourse segmentation
NVP-HRI: Zero shot natural voice and posture-based human-robot interaction via large language model
Assessing the renewable energy sources for sustainable energy generation systems: Interval-valued q-rung orthopair fuzzy SWARA-TOPSIS
Accurate lateral positioning from map data and road marking detection
Applying RBR and CBR to develop a VR based integrated system for machining fixture design
Partially constructed knowledge for semantic query
Eliciting and utilising knowledge for security event log analysis: An association rule mining and automated planning approach
The feature extraction and analysis of flaw detection and classification in BGA gold-plating areas
A methodology to allow rural extension professionals to build target-specific expert systems for Australian rural business operators
Selection of appropriate defuzzification methods: Application to the assessment of dam performance
Text categorization methods for automatic estimation of verbal intelligence
Gradient-based optimizer improved by Slime Mould Algorithm for global optimization and feature selection for diverse computation problems
LightGCAN: A lightweight graph convolutional attention network for user preference modeling and personalized recommendation
Efficient depth from defocus imaging for environmental perception
On the use of case-based planning for e-learning personalization
Enhanced bare-bones particle swarm optimization based evolving deep neural networks
Towards an ontology-driven clinical experience sharing ecosystem: Demonstration with liver cases
The use of a fuzzy logic-based system in cost-volume-profit analysis under uncertainty
Defects inspection system for building facades using drones and deep learning method
Physics-informed generative regression for industrial process modeling in steel strip rolling
Boosting gender recognition performance with a fuzzy inference system
Fixed-time convergence ZNN model for solving rectangular dynamic full-rank matrices inversion
Formal translation from fuzzy EER model to fuzzy XML model
Car assembly line fault diagnosis based on triangular fuzzy support vector classifier machine and particle swarm optimization
VIBRANT-WALK: An algorithm to detect plagiarism of figures in academic papers
Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data
Safe MBPO-based speed and lane change method integrating decision-making and control for autonomous vehicles
Ontology design and individual cognitive peculiarities: A pilot study
DualAttendMed: A coarse-to-fine dual-stage attention framework for interpretable disease localization and classification
Vector quantization using the firefly algorithm for image compression
Link prediction and its optimization based on low-rank representation of network structures
SubG4TJ: A collaborative subgraph classification method based on multidimensional attributes for hardware trojan detection
A hybrid algorithm based on grey wolf optimizer and differential evolution for UAV path planning
An empirical test to forecast the sales rank of a keyword advertisement using a hierarchical Bayes model
A robust ranking method for online rating systems with spammers by interval division
LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion
Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images
Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning
Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature
Setting forecasting model parameters using unconstrained direct search methods: An empirical evaluation
An interactive fuzzy satisficing method based on fractile criterion optimization for multiobjective stochastic integer programming problems
A progressive hybrid set covering based algorithm for the traffic counting location problem
A cloud theory-based multi-objective portfolio selection model with variable risk appetite
An interactive case-based reasoning method considering proximity from the cut-off point
Machine learning based smart intrusion and fault identification (SIFI) in inverter based cyber-physical microgrids
OWA operator based link prediction ensemble for social network
A generalized game theoretic framework for mining communities in complex networks
GTDEKAN: Graph-aware transformer and enhanced Kolmogorov-Arnold Network for microbe-drug association prediction
Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems
Forecasting nonnegative option price distributions using Bayesian kernel methods
Interval-enhanced Graph Transformer solution for session-based recommendation
Towards noninvasive and fast detection of Glycated hemoglobin levels based on ECG using convolutional neural networks with multisegments fusion and Varied-weight
An interpretable intuitionistic fuzzy inference model for stock prediction
UniStyleDiff: A unified diffusion-driven framework for image and video style transfer
A bottleneck-aware two-stage evolutionary algorithm for heat pipe-constrained component layout optimization
Context sensitive recognition of abrupt changes in cutting process
Joint learning of video scene detection and annotation via multi-modal adaptive context network
A multi-task deep learning framework for forecasting sparse demand of demand responsive transit
An agent-based support system for railway station dispatching
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization
Multi-label learning for label-specific features using correlation information with missing label
Visualising a knowledge mapping of information systems investment evaluation
DFSA-Net: an effective single image dehazing framework via frequency-domain processing and multi-scale representation learning
Competitive multi-task Bayesian optimization with an application in hyperparameter tuning of additive manufacturing
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
Bargaining game model in the evaluation of decision making units
A novel color image watermarking scheme in nonsampled contourlet-domain
GE-adapter: A general and efficient adapter for enhanced video editing with pretrained text-to-image diffusion models
Classification of severity of trachea stenosis from EEG signals using ordinal decision-tree based algorithms and ensemble-based ordinal and non-ordinal algorithms
MuMCyp_Net: A multimodal neural network for the prediction of Cyp450 inhibition
Camouflaged named entity recognition in 2D sentence representation
HiCORE: Enhancing consumer intent prediction via hybrid attention and contrastive learning in sequential recommendation
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification