yusuke1997/dblp-id-title huggingface dataset:
DFEF: Diversify feature enhancement and fusion for online knowledge distillation
An automated epileptic seizure detection using optimized neural network from EEG signals
Modelling of healthcare data analytics using optimal machine learning model in big data environment
Heterogeneous graph contrastive learning with adaptive data augmentation for semi-supervised short text classification
Expert systems supporting strategic decisions
Film mood induction and emotion classification using physiological signals for health and wellness promotion in older adults living alone
RETRACTED: Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women
Emotion estimation model for cognitive state analysis of learners in online education using deep learning
Detection of COVID-19 from chest X-ray images: Boosting the performance with convolutional neural network and transfer learning
Cost-sensitive methods of constructing hierarchical classifiers
Intrusion Detection Using CTGAN and Lightweight Neural Network for Internet of Things
An attention-based representation learning model for multiple relational knowledge graph
RETRACTION: An Efficient Deep Learning-based Video Captioning Framework Using Multi-modal Features
Differential evolution and sparse neural networks
Fifth special issue on knowledge discovery and business intelligence
Barzilai Borwein Incremental Grey Polynomial Regression for train delay prediction
Extracting the explore-exploit intelligence of Physarum to manage the sustainability of an enterprise network
Complex intuitionistic fuzzy power aggregation operators and their applications in multicriteria decision-making
Comparison on resilience and energy efficiency of authentication schemes in IoT networks
Online eigenvector transformation reflecting concept drift for improving network intrusion detection
On the specification of extract, transform, and load patterns behavior: A domain-specific language approach
A Deep Feature Driven Expert System to Estimate the Postmortem Interval From Corneal Opacity Development
Expressing inter-link constraints in OWL knowledge bases
Stress recognition with multi-modal sensing using bootstrapped ensemble deep learning model
A modified slacks-based ranking method handling negative data in data envelopment analysis
Hierarchical-Split Multi-Scale Convolution Network With Multi-Task Learning for Human Activity Recognition in Wearable Devices
O-SCDR: Optimal cluster with attention based shared-account cross-domain sequential recommendation using deep reinforcement learning technique
GDKAT: A goal-driven knowledge acquisition tool for knowledge base development
Augmentation of a nearest neighbour clustering algorithm with a partial supervision strategy for biomedical data classification
The design of intelligent fuzzy cognitive system of music emotion by product supply chain management
Inmplode: A framework to interpret multiple related rule-based models
Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning
Optimizing task allocation with temporal-spatial privacy protection in mobile crowdsensing
Improving hand gestures recognition capabilities by ensembling convolutional networks
Serial and parallel memetic algorithms for the bounded diameter minimum spanning tree problem
A simplified neutrosophic multiplicative set-based TODIM using water-filling algorithm for the determination of weights
Optimal deep learning based fusion model for biomedical image classification
Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns
RETRACTION: Hindi podcast genre prediction using support vector classifier
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers
Toward masked face recognition: An effective facial feature extraction and refinement model in multiple scenes
Extracting low dimensional representations from large size whole slide images using deep convolutional autoencoders
EnLEFD-DM: Ensemble Learning based Ethereum Fraud Detection using CRISP-DM framework
Risk analysis of China's financial market collapse based on cloud computing and machine learning algorithms
Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey
The impact engineer - Weaving the Golden Braid
StarTroper, a film trope rating optimizer using machine learning and evolutionary algorithms
Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming
Effects of feature reduction on emotion recognition using EEG signals and machine learning
Deep learning techniques on 3D-MRI lung images for detection and segmentation of COVID-19 virus
IWINAC 2O13 special section: editorial on intelligent systems for neural disorders and emotional state identification
Improving Teacher Training Through Emotion Recognition and Data Fusion
Few-Shot Contrastive Learning-Based Multi-Round Dialogue Intent Classification Method
Modelling uncertainties with TOPSIS and GRA based on q-rung orthopair m-polar fuzzy soft information in COVID-19
A two-level detector of short-term unique changes in time series based on a similarity method
An Overview of Q-Learning and Deep Q-Learning for an Autonomous Multi-UAV Wireless Network
Discovering the associations between test items in an examination
Modified M-RCNN approach for abandoned object detection in public places
Feasibility of probabilistic neural networks, Kohonen self-organizing maps and fuzzy clustering for source localization of ventricular focal arrhythmias from intravenous catheter measurements
An adaptive learning algorithm for a wavelet neural network
Head mouse control system for people with disabilities
A Comprehensive Survey on Multi-Facet Fog-Computing Resource Management Techniques, Trends, Applications and Future Directions
Algorithm improvement of neural network in endoscopic image recognition of upper digestive tract system
Ambient assisted living system with capacitive occupancy sensor
A Web-enabled product definition and customization system for product conceptualization
BERTuit: Understanding Spanish language in Twitter with transformers
A swarm-optimized microbial colony counter
New entropy propositions for interval-valued spherical fuzzy sets and their usage in an extension of ARAS (ARAS-IVSFS)
Monitoring the supply of products in a supply chain environment: a fuzzy neural approach
From mobility data to habits and common pathways
Temporal support in the identification of e-learning efficacy: an example of object classification in the presence of ignorance
A novel generative adversarial network-based super-resolution approach for face recognition
Multi-scaled feature fusion enabled convolutional neural network for predicting fibrous dysplasia bone disorder
Chaotic analysis of predictability versus knowledge discovery techniques: case study of the Polish stock market
A novel multi-view ordinal classification approach for software bug prediction
On the design of hybrid bio-inspired meta-heuristics for complex multiattribute vehicle routing problems
Optimization of fuzzy similarity by genetic algorithm in user-based collaborative filtering recommender systems
Analysis of data trust through an intelligent-transparent-trust triangulation model
An automated hierarchical gait pattern identification tool employing cross-correlation-based feature extraction and recurrent neural network based classification
RETRACTION: The Economic Globalization for Sustainable Management of Overseas Trade Enterprise Logistics
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum
Models for MAGDM with dual hesitant q-rung orthopair fuzzy 2-tuple linguistic MSM operators and their application to COVID-19 pandemic
Learning to rank academic experts in the DBLP dataset
Optimal deep transfer learning driven computer-aided breast cancer classification using ultrasound images
MCGDM with complex Pythagorean fuzzy -soft model
RETRACTION: The Design of Intelligent Fuzzy Cognitive System of Music Emotion by Product Supply Chain Management
Neuronomics: connectionist economics
Multi-objective optimization for stochastic failure-prone job shop scheduling problem via hybrid of NSGA-II and simulation method
A multi-institutional, multinational study of programming concepts using card sort data
COVID-19 patient diagnosis and treatment data mining algorithm based on association rules
Semi-supervised classification of facial expression using a mixture of multivariate t distributions
A unique morpho-feature extraction algorithm for medicinal plant identification
Combining knowledge from different sources
Plant competition optimization: A novel metaheuristic algorithm
Guideline for Novel Fine-Grained Sentiment Annotation and Data Curation: A Case Study
Information technology outsourcing relationship integration: a critical success factors study based on ranking problems (P.γ) and correlation analysis
Temperature dependent optimal power flow using chaotic whale optimization algorithm
Lionfish Search Algorithm: A Novel Nature-Inspired Metaheuristic
Applying a belief rule-base inference methodology to a guideline-based clinical decision support system
Random permutation-based linear regression for cancelable biometrics
Stages of knowledge management technology in the value shop: the case of police investigation performance
Energy optimization in path arbitrary wireless sensor network
RETRACTION: Intelligent Cognitive Evaluation of Ice and Snow Sports Training by Fuzzy Comprehensive Evaluation from the Perspective of Supply Chain Management
Research on the improvement path of international competitiveness of China's agricultural product supply chain from the perspective of machine learning
POI Extraction From Digital City: An Engineering Exploration With Large-Language Models
Cloud-based deep learning architecture for DDoS cyber attack prediction
A different paradigm for expert systems: an introduction to logic programming and related knowledge representation issues
A Knowledge-Driven Expert System for Robust Cardiac Event Detection Using Multi-Scale Temporal Transformers
Senti-CS: Building a lexical resource for sentiment analysis using subjective feature selection and normalized Chi-Square-based feature weight generation
Ordinal regression by a gravitational model in the field of educational data mining
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze-and-excitation
Path planning of humanoids based on artificial potential field method in unknown environments
A novel double keys adapted elliptic curve cryptography and log normalized Gaussian sigmoid adaptive neuro-fuzzy interference system based secure resource allocation system in decentralized cloud storage
Target setting with minimum improving costs in data envelopment analysis: A mixed integer linear programming approach
RGB-D assistive technologies for acquired brain injury: description and assessment of user experience
AI-driven IoT-fog analytics interactive smart system with data protection
Bias mitigation for fair automation of classification tasks
Associative diagnosis
Advancements in medical diagnosis and treatment through machine learning: A review
Robotic frameless brain biopsy system enhanced by facial mesh registration
An empirical comparison of scalable part-whole ontology engineering patterns
Knowledge representation and acquisition using R-numbers Petri nets considering conflict opinions
Proof-of-concept of an information visualization classification approach based on their fine-grained features
Cervical precancerous lesion classification using quantum invasive weed optimization with deep learning on biomedical pap smear images
Neuro-weighted multi-functional nearest-neighbour classification
Secure transmission of ocean images using deep learning-based data hiding
The application of a fuzzy-rule-based system in an exposition of the antecedents of sedge warbler song flight
Improved K-means algorithm for clustering non-spherical data
Automating construction of a domain ontology using a projective adaptive resonance theory neural network and Bayesian network
Data-driven decision-making model based on artificial intelligence in higher education system of colleges and universities
Data preprocessing issues for incomplete medical datasets
Special issue on "Machine Learning Challenges and Applications for Industry 4.0"
Designing Proportional Integral Controller for a Solar Powered DC-DC Converter Using PIPSO Algorithm and Deep Learning approach in Intelligent Bio-Medical Applications
Sentiment analysis in organizational work: Towards an ontology of people analytics
34957+70764=105621
Federated Deep Learning for Collision Avoidance in IoV With Digital Twin Integration
OWL-based acquisition and editing of computer-interpretable guidelines with the CompGuide editor
Automatic Schaeffer's gestures recognition system
Fuzzy adaptive anisotropic filter for medical images
Flexible integrated scheduling algorithm based on remaining work probability selection coding
CAPTURE - Computational Analysis and Predictive Techniques for Urban Resource Efficiency
A decision support system for fund raising management based on the Choquet integral methodology
A hybrid model for business process event and outcome prediction
Self-supervised short text classification with heterogeneous graph neural networks
Analyzing complex networks: Extracting key characteristics and measuring structural similarities
Federated learning-based private medical knowledge graph for epidemic surveillance in internet of things
Topic modelling in precision medicine with its applications in personalized diabetes management
Trust-annotated ontology integration using social modelling
Facilitating the use of multi-attribute utility theory in expert systems: an aid for identifying the right relative importance weights of attributes
Learning from mistakes: Improving spelling correction performance with automatic generation of realistic misspellings
Cosine modulated filter bank-based architecture for extracting and fusing saliency features
A survey on agent-based modelling assisted by machine learning
Flexible flow shop scheduling: optimum, heuristics and artificial intelligence solutions
Expectile regression forest: A new nonparametric expectile regression model
EBNO: Evolution of cost-sensitive Bayesian networks
Fuzzy time series model based on weighted association rule for financial market forecasting
ICADS: Intelligent Car Audio Design System for product planning
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0
Big data analytics on patents for innovation public policies
Hermite-Shannon-Cosine spectral method for fractional partial differential equations
Estimating the uniaxial compressive strength of some clay-bearing rocks selected from Turkey by nonlinear multivariable regression and rule-based fuzzy models
A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms
A comprehensive search for expert classification methods in disease diagnosis and prediction
An expert system for lighting energy management in public school facilities
Automated detection of orofacial pain from thermograms using machine learning and deep learning approaches
An IoT and Blockchain-based approach for the smart water management system in agriculture
What do successful computer science students know? An integrative analysis using card sort measures and content analysis to evaluate graduating students' knowledge of programming concepts
Computed tomography image and mechanism of spiral neuron T-type calcification channel of elderly patient with senile sudden deafness under embedded system combined with artificial intelligence algorithm
Question answering over knowledge graphs using BERT based relation mapping
Knowledge acquisition in vague objective information systems based on rough sets
Knowledge representation in an activated sludge plant diagnosis system
Investigations on adaptive connectivity and shape prior based fuzzy graph-cut colour image segmentation
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
An intelligent robust cascaded control scheme for renewable energy based microgrid
Robot facilitated rehabilitation of children with autism spectrum disorder: A 10 year scoping review
Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches
Towards a model for determining patent revenue odds: An empirical study of technology transfer offices
Adaptive dialogue management using intent clustering and fuzzy rules
A knowledge construction methodology to automate case-based learning using clinical documents
An agent-based model to simulate the public acceptability of social innovations
A compact artificial bee colony metaheuristic for global optimization problems
Uncertainty-Guided Diffusion Model for High-Fidelity ECG Synthesis and Classification
Ramex-Forum: a tool for displaying and analysing complex sequential patterns of financial products
Customer segmentation issues and strategies for an automobile dealership with two clustering techniques
An end-to-end framework for the detection of mathematical expressions in scientific document images
Single and Ensemble Based Filters in Environmental Data
Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China
Towards Incremental Learning in Large Language Models: A Critical Review
Improving privacy in health care with an ontology-based provenance management system
A geodesic distance-based approach for shape-independent data clustering using coalitional game
IETAFusion: An illumination enhancement and target-aware infrared and visible image fusion network for security system of smart city
Knowledge Issues Raised in Modelling Trust in a Public Key Infrastructure
Effects of the correlation model, the trend model, and the number of training points on the accuracy of Kriging metamodels
Handling multiple objectives using k-means clustering guided multiobjective evolutionary algorithm
Converness: Ontology-driven conversational awareness and context understanding in multimodal dialogue systems
Agent-based ontology mapping and integration towards interoperability
Rule-based approach for topic maps learning from relational databases
Facial Expression Recognition by Multi-Scale Local Binary Patterns (MLBP) and Convolutional Neural Network (CNN) Features
Eigenspace method for spatiotemporal hotspot detection
Ranking Fuzzy Cognitive Map based scenarios using ELECTRE III: Applied on housing market
A Survey of Training Healthcare Robots With Extended Reality and Digital Twins
Imbalanced survival prediction for gastric cancer patients based on improved XGBoost with cost sensitive and focal loss
An evolutionary lion optimization algorithm-based image compression technique for biomedical applications
Development of a multiprobe electrical resistivity tomography prototype system and robust underground clustering
A new frontier in dashboard design: Evaluating an innovative meta-modelling approach through expert insights
Evaluation of 3D design lower limb exoskeleton on human musculoskeletal with various loads
A new hybrid recommendation algorithm with privacy
Automated email answering by text-pattern matching: Performance and error analysis
Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images
Crowdfunding performance prediction using feature-selection-based machine learning models
Deep facial emotion recognition model using optimal feature extraction and dual-attention residual U-Net classifier
Endoscopic image recognition method of gastric cancer based on deep learning model
Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design
Comprehensive Review of Graph Neural Networks: Challenges, Classification, Architectures, Applications, and Potential Utility in Bioinformatics
A hybrid MCDM model combining DANP with TODIM to evaluate the information quality of community question answering in a two-dimensional linguistic environment
Human-machine interface in bioprosthesis control using EMG signal classification
RETRACTION: Auxiliary Cognition System-Based Management Strategy Optimization of Supply Chain of New Energy in Oil-Gas Enterprises
Arabic text classification based on analogical proportions
Predicting early depression in WZT drawing image based on deep learning
SDF classifier revisited
PFCA: An influence-based parallel fuzzy clustering algorithm for large complex networks
Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals
Datacab: a geographical-information-system-based expert system for the design of cable networks
6G-enabled internet of medical things
Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids
Recent advances on knowledge discovery and business intelligence
Dual-Branch Cross-Diversion Transformer With Spatial Soft Alignment for Few-Shot Surface Defect Detection
Measurement of enterprise knowledge by state characterization
A knowledge-based system for electric motors compliance verification in a multinational-level company
RETRACTION: The Analysis of Green Advertisement Communication Strategy Based on Deep Factorization Machine Deep Learning Model Under Supply Chain Management
Are you sure? Prediction revision in automated decision-making
Online expert systems for fault diagnosis in technical processes
Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers
Security and privacy protection protocol based on edge computing in smart campus
An attention-driven videogame based on steady-state motion visual evoked potentials
Normalized hellinger feature selection and soft margin boosting classification for water quality prediction
A logic-based approach to rule induction in expert systems
A novel optimal PID controller autotuning design based on the SLP algorithm
A rule-based approach to detect and prevent inconsistency in the domain-engineering process
A fixed structure learning automata-based optimization algorithm for structure learning of Bayesian networks
Intelligent systems research in China
Knowledge-based treatment planning for adolescent early intervention of mental healthcare: a hybrid case-based reasoning approach
Preschool education optimization based on mobile edge computing under COVID-19
Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID-19 pandemic
I-DSS: an intelligent diagnostic support system
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation
Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions
Mining specific and representative information by the attribute-oriented induction method
Real-time smart surveillance using motion analysis
Label informed hierarchical transformers for sequential sentence classification in scientific abstracts
Optimal multiple key-based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis
A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images
A taxonomy of energy optimization techniques for smart cities: Architecture and future directions
The polychronic economy
Knowledge transfer in offshore outsourcing software development projects: an analysis of the challenges and solutions from German clients
A cellular automata-based filtering approach to multi-temporal image denoising
A study of the relative efficiency of Chinese ports: a financial ratio-based data envelopment analysis approach
Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals