yusuke1997/dblp-id-title huggingface dataset:
A cost-minimized two-stage three-way dynamic consensus mechanism for social network-large scale group decision-making: Utilizing K-nearest neighbors for incomplete fuzzy preference relations
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
A TinyML solution for an IoT-based communication device for hearing impaired
A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis
An improved convolutional network capturing spatial heterogeneity and correlation for crowd flow prediction
Mining knowledge demands from information flow
Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification
Trend-constrained pairing based incremental transfer learning for remaining useful life prediction of bearings in wind turbines
Improved kernel principal component analysis for fault detection
MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis
A multimodal particle swarm optimization-based approach for image segmentation
Multimodal AI framework for the prediction of high-potential product listings in e-commerce: Navigating the cold-start challenge
Opinion summarization methods: Comparing and extending extractive and abstractive approaches
ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements
A novel Bluetooth low energy based system for spatial exploration in smart cities
Stochastic unit commitment problem: A statistical approach
Scheduling of distributed generators in an isolated microgrid using opposition based Kho-Kho optimization technique
Multiple medical image encryption algorithm based on scrambling of region of interest and diffusion of odd-even interleaved points
Improving argumentation-based recommender systems through context-adaptable selection criteria
A Short-term solar irradiance forecasting modelling approach based on three decomposition algorithms and Adaptive Neuro-Fuzzy Inference System
MobileNetV2 with Spatial Attention module for traffic congestion recognition in surveillance images
Movement forecasting of financial time series based on adaptive LSTM-BN network
Model-domain failing test augmentation with Generative Adversarial Networks
Imposed target based modification of Taguchi method for feature optimisation with application in arrhythmia beat detection
RuleML representation and simulation of Fuzzy Cognitive Maps
A surrogate-assisted multi-objective evolutionary algorithm with multiple reference points
Assessing cybersecurity methodologies: integrating competitiveness factor for risk analysis and IT system design
iConAwa - An intelligent context-aware system
Web-based mobile robot platform for real-time exercises
Fuzzy system models (FSMs) for analysis of rock mass displacement caused by underground mining in soft rock strata
Value ontology-based multi-aspect intellectual asset valuation method for decision-making support in k-commerce
An energy-efficient permutation flowshop scheduling problem
SemTG-Track: Multimodal fine-grained semantic-unit temporal guidance for multi-object tracking
Two-level attention mechanism with contrastive learning for heterogeneous graph representation learning
A selection framework for infrastructure condition monitoring technologies in water and wastewater networks
Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant
The effects of advergames on consumer telepresence and attitudes: A comparison of products with search and experience attributes
Intelligent interpretation of validation data
A comparison shopping optimization model based on suppliers' pricing contexts
An Iterative Resampling Deep Decoupling Domain Adaptation method for class-imbalance bearing fault diagnosis under variant working conditions
Determining the ordering policies of inventory items in class B using If-Then rules base
A TOPSIS-based approach for the best match between manufacturing technologies and product specifications
Gaussian process digital twin for voltage stability analysis of complex power networks under perturbation
Deep transfer learning in sheep activity recognition using accelerometer data
Spatial-angular features based no-reference light field quality assessment
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection
Towards personalized persuasive dialogue generation for adversarial task oriented dialogue setting
RAGN-L: A stacked ensemble learning technique for classification of Fire-Resistant columns
Multidimensional surrogate stability to detect data stream concept drift
Design and implementation of new object-oriented rule base management system
Improving location awareness in indoor spaces using RFID technology
Forecasting industrial production in Brazil: Evidence from a wavelet approach
A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming
Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)
Multi-resolution screening of paper formation variations on production line
D2EF-Net: A deep dual-encoder fusion-based unified network for brain tumor classification from undersampled MRI
Inno-Qual efficiency of higher education: Empirical testing using data envelopment analysis
An attentive self-organizing neural model for text mining
Classification of sleep apnea by using wavelet transform and artificial neural networks
Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram
Road adhesion coefficient Estimation: Physics-informed deep learning method with vehicle dynamics model
Application of active learning in DNA microarray data for cancerous gene identification
Adaptive gradient-based noise variance estimation algorithm for robust face image reconstruction
SSCDV: Social media document embedding with sentiment and topics for financial market forecasting
An automatic counting algorithm for the quantification and uncertainty analysis of the number of microglial cells trainable in small and heterogeneous datasets
A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning
MIRNet_ECA: Multi-scale inverted residual attention network used for classification of ripeness level for dragon fruit
The application of deep learning in stereo matching and disparity estimation: A bibliometric review
EQUINAS: Equilibrium-guided differentiable neural architecture search
Lessons learned from data stream classification applied to credit scoring
Extracting bottlenecks for reinforcement learning agent by holonic concept clustering and attentional functions
A two-stage network data envelopment analysis approach for the performance evaluation of cricket players and teams: Unravelling the dynamics of utilization and on-ground excellence
Optimal selection of full scale tannery effluent treatment alternative using integrated AHP and GRA approach
Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning
Learning multi-graph structure for Temporal Knowledge Graph reasoning
Automated classification of lung sound signals based on empirical mode decomposition
Corrigendum "Fuzzy expert system design for operating room air condition control systems" [Experts Systems with Applications 36(6) (2009) 9753-9758]
Time series clustering based on complex network with synchronous matching states
A bio-inspired exogenous attention-based architecture for social robots
APROMORE: An advanced process model repository
Electrical vehicle modeling: A fuzzy logic model for regenerative braking
High-dimensional supervised feature selection via optimized kernel mutual information
Knowledge distillation-based distributed dynamic 3D Gaussian splatting for large scale scene reconstruction
An efficient stripped cover-based accelerator for reduction of attributes in incomplete decision tables
Internet as a knowledge base for medical diagnostic assistance
DDHCN: Dual decoder Hyperformer convolutional network for Downstream-Adaptable user representation learning on app usage
Improved grey system models for predicting traffic parameters
Measuring inferred gaze direction to support analysis of people in a meeting
How to Improve Text Summarization and Classification by Mutual Cooperation on an Integrated Framework
A new approach on search for similar documents with multiple categories using fuzzy clustering
IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor
A sequence-based and context modelling framework for recommendation
Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM 10 forecasting
Remote Parkinson's disease severity prediction based on causal game feature selection
A hybrid binary particle swarm optimization with tabu search for the set-union knapsack problem
Using Datalog to provide just-in-time feedback during the construction of concept maps
A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges
Speech detection in noisy environments by wavelet energy-based recurrent neural fuzzy network
Multi-Target spraying behavior detection based on an improved YOLOv8n and ST-GCN model with Interactive of video scenes
Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
When latent features meet side information: A preference relation based graph neural network for collaborative filtering
A distributionally robust optimization approach for chance-constrained stochastic multi-attribute decision-making with unknown probability density function
Image-based analysis for automatic detection and grading of wheat stripe rust disease using effective segmentation and adaptive recurrent MobilenetV2 with LSTM
AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies
A new integrated design concept evaluation approach based on vague sets
Cluster-based dynamic scoring model
SH-ETRs:Learning Soft-Hard rules with entity type constraints for document-level relation extraction
Modelling cybersecurity environment using Lotka-Volterra equations, and its stochastic analysis
Variable neighborhood search heuristics for a test assembly design problem
Hypergraph-based spiking neural P systems for predicting the overall survival time of glioblastoma patients
Automatic driver stress level classification using multimodal deep learning
Evaluation of supervised machine learning techniques for cavitation detection and diagnosis in a pump-as-turbine system
A survey on using domain and contextual knowledge for human activity recognition in video streams
An approach to the use of word embeddings in an opinion classification task
SelfFed: Self-supervised federated learning for data heterogeneity and label scarcity in medical images
Deciphering TON-IoT threats: Meta-heuristic and deep learning for attack classification
A DEA-inspired procedure for the aggregation of preferences
Robustifying the resource-constrained project scheduling against uncertain durations
Alternating minimization differential privacy protection algorithm for the novel dual-mode learning tasks model
Identifying sufficient deception in military logistics
A new approach to urinary system dynamics problems: Evaluation and classification of uroflowmeter signals using artificial neural networks
Development and applications of a simulation model for vessels in the Singapore Straits
Federated learning enabled multi-key homomorphic encryption
Modified genetic algorithms for solving fuzzy flow shop scheduling problems and their implementation with CUDA
Multi-view aggregation and multi-relation alignment for few-shot fine-grained recognition
Detect software vulnerabilities with weight biases via graph neural networks
A fine-grained modal label-based multi-stage network for multimodal sentiment analysis
On analysis of circle moments and texture features for cartridge images recognition
Multi-agent learning based UAV-assisted MEC-NOMA for cellular offloading in Internet of Things
Dynamic particle swarm optimizer with escaping prey for solving constrained non-convex and piecewise optimization problems
A case-based customer classification approach for direct marketing
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
Cluster center initialization algorithm for K-modes clustering
Efficient polar coordinates attack with adaptive activation strategy
Multi-objective optimization: A method for selecting the optimal solution from Pareto non-inferior solutions
A new parallel framework algorithm for solving large-scale DEA models
Geographical discrimination of propolis using dynamic time warping kernel principal components analysis
A edge prior constraint Mamba network for medical image super-resolution generation
Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms
Measuring the efficiency of securities companies by corporate governance in a financial holding and non-financial holding system
Comprehensive analysis of least significant bit and difference expansion watermarking algorithms for online signature signals
Multichannel feature fusion network-based technique for heart sound signal classification and recognition
A decomposition algorithm of fuzzy Petri net using an index function and incidence matrix
CFARMS: A clustered federated learning framework with recursive model selection
Fault detection analysis using data mining techniques for a cluster of smart office buildings
A neural Entity Coreference Resolution review
Adoption of the Semantic Web for overcoming technical limitations of knowledge management systems
Memetic discrete differential evolution with domain knowledge for blocking scheduling distributed flow shop with lot-streaming constraints
Distance graph routing capsule network with vote elimination for human activity recognition
An automatic BI-RADS description of mammographic masses by fusing multiresolution features
Data mining using clinical physiology at discharge to predict ICU readmissions
An extended combined compromise solution framework based on novel intuitionistic fuzzy distance measure and score function with applications in sustainable biomass crop selection
Efficient resource allocation for IoT applications in mobile edge computing via dynamic request scheduling optimization
Deep learning for 6D pose estimation of objects - A case study for autonomous driving
Low-carbon regulation method for greenhouse light environment based on multi-objective optimization
Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews
Design of a case based intelligent supplier relationship management system - the integration of supplier rating system and product coding system
A case study of applying data mining techniques in an outfitter's customer value analysis
Embedding knowledge exchange and cognitive matchmaking in a dichotomy of markets
Lexicon-based prompt for financial dimensional sentiment analysis
A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization
A real-time map merging strategy for robust collaborative reconstruction of unknown environments
Hybrid metaheuristics: An automated approach
Support Vector Machine with feature selection: A multiobjective approach
An adaptive HVS based video watermarking scheme for multiple watermarks using BAM neural networks and fuzzy inference system
Functional networks as a novel data mining paradigm in forecasting software development efforts
Modelling of supply chain disruption analytics using an integrated approach: An emerging economy example
PreBit - A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
VL-GAN: A generative classification approach for fingerprint-based indoor localization
An input-oriented super-efficiency measure in stochastic data envelopment analysis: Evaluating chief executive officers of US public banks and thrifts
Performance evaluation of competing forecasting models: A multidimensional framework based on MCDA
Colon cancer prediction with genetics profiles using evolutionary techniques
An exact constraint programming method for the multi-manned assembly line balancing problem with assignment restrictions
Image backlight compensation using neuro-fuzzy networks with immune particle swarm optimization
How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
Detection of epileptic seizures from compressively sensed EEG signals for wireless body area networks
FAQT-2: A customer-oriented method for MCDM with statistical verification applied to industrial robot selection
Cross-sectional performance prediction of metal tubes bending with tangential variable boosting based on parameters-weight-adaptive CNN
Using KADS methodology in a simulation assisted knowledge based system: application to hospital management
Quantum-computing-driven bat algorithm: Balancing exploration-exploitation with predictive mutation and frequency adjustment for optimization
Hybrid risk control of mission-critical systems under degradation uncertainties: integrated maintenance-termination optimization
DAMixer: A dual-stage attention-based mixer model for multivariate time series forecasting
Concept lattices for visualizing and generating user profiles for context-aware service recommendations
Optimization design of control charts based on minimax decision criterion and fuzzy process shifts
AeroClick: An advanced single-click interactive framework for aeroengine defect segmentation
A web-based model for developing: A mold base design system
Introducing a new method for the fusion of fraud evidence in banking transactions with regards to uncertainty
A wearable cardiorespiratory sensor system for analyzing the sleep condition
Corrigendum to "A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection" [Expert Syst. Appl. 255 (2024) 124560]
An intelligent diagnosis method for underwater gliders progressive anomaly based on layer-by-layer attention mechanism
ME-WARD: A multimodal ergonomic analysis tool for musculoskeletal risk assessment from inertial and video data in working places
Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO
Corrigendum "Structural equation model for effective CRM of information infrastructure industry in Korea" [Experts Systems with Applications 36 (2P1) (2009) 1695-1705]
Covering based multi-granulation rough fuzzy sets with applications to feature selection
Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty
An efficient document classification model using an improved back propagation neural network and singular value decomposition
A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction
GeoLSTM: A road geometry-aware neural network model for spatio-temporal highway traffic speed and intensity forecasting
PTE: Prompt tuning with ensemble verbalizers
Learning relation axioms from text: An automatic Web-based approach
Hybrid dimension reduction by integrating feature selection with feature extraction method for text clustering
Genetic regulatory network-based symbiotic evolution
Image fusion with Internal Generative Mechanism
Enhancing performance and stability of gain-scheduling control system using evolutionary algorithms: A case study on transport aircraft
Gaussian dynamic recurrent unit for emitter classification
A bidirectional LSTM deep learning approach for intrusion detection
A representation coefficient-based k -nearest centroid neighbor classifier
Variable selection by association rules for customer churn prediction of multimedia on demand
Embedding metric learning into an extreme learning machine for scene recognition
Implicit visual knowledge enhanced zero-shot image captioning
Intelligent impact assessment of HRM to the shareholder value
An application of rule-based tool in attributive logic for business rules modeling
Neuro-fuzzy system in partitioned client-side Web cache
An accurate estimation of hand gestures using optimal modified convolutional neural network
Novel two-level hybrid genetic algorithms based on different Cayley-type encodings for solving the clustered shortest-path tree problem
Enhanced classification of web services using hybrid meta-heuristic algorithms and deep learning
Digital twins: A scientometric investigation into current progress and future directions
Composer classification using melodic combinatorial n-grams
Multiagent systems and information retrieval our experience with X.MAS
A contribution-driven weighted grey relational analysis model and its application in identifying the drivers of carbon emissions
A reinforcement learning based multi-method approach for stochastic resource constrained project scheduling problems
An intelligent system for the detection and interpretation of sleep apneas
Automated clinical knowledge graph generation framework for evidence based medicine
The partial solutions consideration based self-adaptive evolutionary algorithm: A learning structure of neuro-fuzzy networks
Investigating the information content of non-cash-trading index futures using neural networks
Explainable artificial intelligence-based framework for efficient content placement in elastic optical networks
A multi-expert system for ranking patents: An approach based on fuzzy pay-off distributions and a TOPSIS-AHP framework
A reduced VNS based approach for the dynamic continuous berth allocation problem in bulk terminals with tidal constraints
A single modality apparent first impression personality recognition model with temporal emotion based LSTM
Accelerated semantic segmentation of additively manufactured metal matrix composites: Generating datasets, evaluating convolutional and transformer models, and developing the MicroSegQ+ Tool
Sequential optimizing investing strategy with neural networks
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Forecasting algorithm for the vocational mobility of graduates with multiple attributes
A supply chain application of fuzzy set theory to inventory control models - DRP system analysis
Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification
P300 event-related potential detection using one-dimensional convolutional capsule networks
A lattice-based approach for mathematical search using Formal Concept Analysis
Ontology-based sentiment analysis of twitter posts
A Seq2Seq transformation strategy for generalizing a pre-trained model in anomaly detection of rolling element bearings
An expert system for predicting the deep drawing behavior of tailor welded blanks
An improved WM method based on PSO for electric load forecasting
BC-GAN: A threshold-free framework for unsupervised early fault detection in rotating machinery
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods
Efficient active contour model for medical image segmentation and correction based on edge and region information
Rubik's cube watermark technology for grayscale images
A new hybrid ensemble credit scoring model based on classifiers consensus system approach
Car plate recognition by whole 2-D image
Using a style-based ant colony system for adaptive learning
Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis
Cross-community interoperation between knowledge-based multi-agent systems: A study on EMERALD and Rule Responder
OENet: An overexposure correction network fused with residual block and transformer
Estimation of significant wave height in shallow lakes using the expert system techniques