yusuke1997/dblp-id-title huggingface dataset:
Multiobjective evolutionary feature selection and fuzzy classification of contact centre data
Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines
Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city
Study on the effect of mental health nursing intervention after gynecological tumour operation based on clustering model
RETRACTION: Diagnosis of Depression Level Using Multimodal Approaches Using Deep Learning Techniques with Multiple Selective Features
COSUM: Text summarization based on clustering and optimization
ABANet: Attention boundary-aware network for image segmentation
Efficient weighted probabilistic frequent itemset mining in uncertain databases
MapIntel: A visual analytics platform for competitive intelligence
Artificial intelligence for the practical assessment of nutritional status in emergencies
An inference model for combustion diagnostics in an experimental oil furnace
An empirical study on evolutionary feature selection in intelligent tutors for learning concept detection
An intelligent information infrastructure to support the streamlining of integrated logistics workflow
An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage
An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
Special issue on intelligent software engineering
The hierarchical importance of patent's characteristics to licensing: An analysis through Random Forest
The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects
Error prediction and structure determination for CMAC neural network based on the uniform design method
Comparative evaluation of Large Language Models using key metrics and emerging tools
A multi-label social short text classification method based on contrastive learning and improved ml-KNN
Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging
RETRACTION: Analysis and Design of Financial Data Mining System Based on Fuzzy Clustering
Enhancing diversity for logical table-to-text generation with mixture of experts
Decision-making method using a visual approach for cluster analysis problems; indicative classification algorithms and grouping scope
Flood forecasting at the Dadu River in China based on ANN
Edge Priors Image Inpaintig With StyleGAN2
An ontology to document a quality scheme specification of a software product
The impact of problem size on decision processes: an experimental investigation on very large choice problems with support of decision support systems
Segmentation and classification of lymphoblastic leukaemia using quantum neural network
Telco customer top-ups: Stream-based multi-target regression
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data
Effect of vocal tract dynamics on neural network-based speech recognition: A Bengali language-based study
Requirements-based approach for the diagnostic systems design process
ST-IDS: Spatio-Temporal Feature-Based Multi-Tier Intrusion Detection System for Artificial Intelligence-Powered Connected Autonomous Vehicles
The data warehouse virtualization framework for operational business intelligence
Tracking a benchmark index - using a spreadsheet-based decision support system as the driver
Business analytics in Industry 4.0: A systematic review
Unlocking the potential: A review of artificial intelligence applications in wind energy
Women's working wardrobes: a study using card sorts
Comparative analysis on the application of neuro-fuzzy models for complex engineered systems: Case study from a landfill and a boiler
Microcell-Net : A deep neural network for multi-class classification of microscopic blood cell images
Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection
Classification of Parkinson disease using binary Rao optimization algorithms
A sentiment analysis approach to improve authorship identification
Fusion of artificial neural networks for learning capability enhancement: Application to medical image classification
An intelligent IoMT enabled feature extraction method for early detection of knee arthritis
Weighted distance classification method based on data intelligence
Analysis and recognition of operations using SEMG from upper arm muscles
Chaotic spotted hyena optimizer for numerical problems
Hybrid job offer recommender system in a social network
Traversal Learning Coordination for Lossless and Efficient Distributed Learning
Re-Sampling Calibrated SNN Loss: A Robust Approach to Non-IID Data in Federated Learning
Federated learning based Covid-19 detection
Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma
Research on temporal and spatial distribution characteristics of passenger flow of Daxing airport line based on automatic fare collection data
Feature extraction and dimensionality reduction by genetic programming based on the Fisher criterion
Hate speech detection: A comprehensive review of recent works
Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost
Efficient detection of Parkinson's disease using deep learning techniques over medical data
CATcAFSMs: Context-based adaptive trust calculation for attack detection in fog computing based smart medical systems
Multi-agent system for knowledge-based event recognition and composition
A Case-Based Reasoning system for complex medical diagnosis
The improvement of analytics in massive open online courses by applying data mining techniques
Prediction of stock prices with automated reinforced learning algorithms
RETRACTION: Consumer Sentiment Analysis With Aspect Fusion and GAN-BERT Aided Adversarial Learning
Analysis of electrocardiographic changes in partial epileptic patients by combining eigenvector methods and support vector machines
Temporal positional lexicon expansion for federated learning based on hyperpatism detection
What makes trading strategies based on chart pattern recognition profitable?
Feature extraction by autoregressive spectral analysis using maximum likelihood estimation: internal carotid arterial Doppler signals
Portfolio construction using explainable reinforcement learning
Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application
A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications
A hybrid neural network/genetic algorithm applied to breast cancer detection and recurrence
RETRACTION: 6G-enabled internet of medical things
Efficient Biomedical Text Summarization With Quantized LLaMA 2: Enhancing Memory Usage and Inference on Low Powered Devices
Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach
Suggesting method names based on graph neural network with salient information modelling
DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection
RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction
FoodBlock: A secure and cost-optimal framework for online food ordering using blockchain
Face similarity linkage: A novel biometric approach to sexually motivated serial killer victims
Marketing information system based on unsupervised visual data to manage transportation industry using signal processing
Fuzzy expert system for road type identification and risk assessment of conventional two-lane roads
Cascade of genetic algorithm and decision tree for cancer classification on gene expression data
Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications
Ontological modelling and rule-based reasoning for the provision of personalized patient education
"Want to come play with me?" Outlier subgroup discovery on spatio-temporal interactions
Signal processing evaluation of myoelectric sensor placement in low-level gestures: sensitivity analysis using independent component analysis
Visual analytics of educational time-dependent data using interactive dynamic visualization
Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases
Using semantic annotations on political debate videos for building open government based lawmaking
Fuzzy Particle Filtering Based Approach for Battery RUL Prediction With Uncertainty Reduction Strategies
Optimization of joint maintenance strategy for safety-critical systems with different reliability degrees
Time series generative adversarial network for muscle force prognostication using statistical outlier detection
Flock optimization induced deep learning for improved diabetes disease classification
Tampering detection and localization base on sample guidance and individual camera device convolutional neural network features
Architecture of an effective convolutional deep neural network for segmentation of skin lesion in dermoscopic images
Hybrid flowshop scheduling with sequence-dependent setup times by hybridizing max-min ant system, simulated annealing and variable neighbourhood search
Utilising Explainable AI to Enhance Real-Time Student Performance Prediction in Educational Serious Games
A homogeneous ensemble method for predicting gastric cancer based on gastroscopy reports
Sentiment analysis for Urdu online reviews using deep learning models
A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two-lane roads
GEP-based classifiers with drift-detection
Hand gesture recognition using multimodal data fusion and multiscale parallel convolutional neural network for human-robot interaction
Hybrid expert-fuzzy approach for evaluation of complex systems
Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods - Case study of the Gamasiab basin
Expert system for problem solving in distance university education: The successful case of the subject "operations management"
WoodAD: A New Dataset and a Comparison of Deep Learning Approaches for Wood Anomaly Detection
Towards ontological engineering: a process for building a domain ontology from scratch in public administration
Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques
Rule based complex event processing for IoT applications: Review, classification and challenges
Optimal pricing strategies and decision-making systems in e-commerce using integrated fuzzy multi-criteria method
Enhancing decision making by providing a unified system for computer-interpretable guideline management
Predicting word vectors for microtext
CancerFusionPrompt: A Novel Framework for Multimodal Cancer Subtype Classification Using Vision-Language Model
Modelling Context and Content Features for Fake News Detection
Integrating spotted hyena optimization technique with generative artificial intelligence for time series forecasting
A particle swarm optimizer with modified velocity update and adaptive diversity regulation
Eliciting symptom-diagnosis knowledge from online medical Q&A
Approaches for semantic interoperability between domain ontologies
A modified butterfly optimization algorithm: An adaptive algorithm for global optimization and the support vector machine
Sibilant consonants classification comparison with multi- and single-class neural networks
Genetic tuning of fuzzy inference within fuzzy classifier systems
Lung cancer computed tomography image classification using Attention based Capsule Network with dispersed dynamic routing
Fuzzy risk assessment of mortality after coronary surgery using combination of adaptive neuro-fuzzy inference system and K-means clustering
Q-GEV Based Novel Trainable Clustering Scheme for Reducing Complexity of Data Clustering
Pattern filtering and classification for market basket analysis with profit-based measures
Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers
Filling the Holes on 3D Heritage Object Surface Based on Automatic Segmentation Algorithm
Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures
Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments
Federated Learning: Concepts, Challenges and Implementation
Exploring knowledge benchmarking using time-series directional distance functions and bibliometrics
Parameterizing neural networks for disease classification
New data envelopment analysis models for assessing sustainability Part 1: A dynamic data envelopment analysis approach
Multi-armed bandit based online model selection for concept-drift adaptation
An expert system for detection of electrocardiographic changes in patients with partial epilepsy using wavelet-based neural networks
Combined neural network model to compute wavelet coefficients
Android application behavioural analysis for data leakage
Ultimate pose estimation: A comparative study
Personalized question recommendation for English grammar learning
Performance evaluation of multilayer perceptron, radial basis function, fuzzy inference system, and an adaptively tuned fuzzy wavelet neural network in parameter prediction of multiphase flow measurement instrumentation
Deep residual architectures and ensemble learning for efficient brain tumour classification
RETRACTION: Segmentation and Classification of Lymphoblastic Leukaemia Using Quantum Neural Network
Supporting activity modelling from activity traces
FastAGEDs+: Fast Approximate Graph Entity Dependency Discovery
RETRACTION: Supply Chain Risk Management of Badminton Supplies Company Using Decision Tree Model Assisted by Fuzzy Comprehensive Evaluation
Artificial neural network and dataset optimization for implementation of linear system models in resource-constrained embedded systems
The knowledge engineers' oath
Topic identification of text-based expert stock comments using multi-level information fusion
VIRDOCD: A VIRtual DOCtor to predict dengue fatality
Classification of brain tumour based on texture and deep features of magnetic resonance images
A survey of visual analytics in urban area
A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty
Extractive text summarization for biomedical transcripts using deep dense LSTM-CNN framework
PriMed: Private federated training and encrypted inference on medical images in healthcare
Towards the automatic enrichment of a thesaurus with information in dictionaries
HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment
ResiSC: A system for building resilient smart city communication networks
Vision-Based Pattern Recognition for Tool Failure Prediction in IoRT -Connected Industrial Manipulators
MCORE: a context-sensitive recommendation system for the mobile Web
RQCSNet: A deep learning approach to quantized compressed sensing of remote sensing images
Probabilistic approaches to rough sets
Computing education that doesn't compute
Optimizing CNN-LSTM hybrid classifier using HCA for biomedical image classification
Backtranslate what you are saying and I will tell who you are
Multimodal dynamic fusion framework: Multilevel feature fusion guided by prompts
Multi-model deep learning system for screening human monkeypox using skin images
Fuzzy Decision-Making Framework for Evaluating Hybrid Detection Models of Trauma Patients
An English teaching quality evaluation model based on Gaussian process machine learning
DHHoE: Deep hybrid homogenous ensemble for digital histological breast cancer classification
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
SUE - TS : A Surrogate Model Based Universal Explanation Framework for Time Series Forecasting
An efficient deep learning-based video captioning framework using multi-modal features
Mango wine making process optimization based on artificial intelligence deep learning technology
MeDi-TODER: Medical Domain-Incremental Task-Oriented Dialogue Generator Using Experience Replay
Digital transformation in healthcare using eagle perching optimizer with deep learning model
The design of a semantic web compatible content language for agent communication
Probabilistic neural networks combined with wavelet coefficients for analysis of electroencephalogram signals
Special issue on computing, intelligence and data analytics for wisdom (CIDA4Wisdom)
Selection of optimized features for fusion of palm print and finger knuckle-based person authentication
RETRACTED: Hindi podcast genre prediction using support vector classifier
Meta heuristic approaches for sentiment analysis
Making sense of card sorting data
Personalised Recommendation With Federated Lightweight Graph Convolutional Networks
Trend following deep Q-Learning strategy for stock trading
Expert knowledge acquisition and the unwilling expert: a knowledge engineering perspective
Generalised Entropies for Decision Trees in Classification Under Monotonicity Constraints
Connectionist symbolic rule encoding using a generalized phase-locking mechanism
Semantic community query in a large-scale attributed graph based on an attribute cohesiveness optimization strategy
A combined fuzzy logic and artificial neural network approach for non-linear identification of IPMC actuators with hysteresis modification
A comprehensive survey on deep learning-based intrusion detection systems in Internet of Things (IoT)
Measuring card sort orthogonality
A Novel Continual Learning and Adaptive Sensing State Response-Based Target Recognition and Long-Term Tracking Framework for Smart Industrial Applications
Towards a framework for multiple artificial neural network topologies validation by means of statistics
Facial emotion recognition: A comprehensive review
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
On-line modelling and planning for urban traffic control
Optimizing demand-driven null dereference verification via merging branches
Social interactions by visual focus of attention in a three-dimensional environment
Enabling the Application of Graph Neural Networks on Graphs With Unknown Connectivity
Processing technique of ratings for ranking of alternatives (PROTERRA)
An early warning system for financial crisis using a stock market instability index
Followee recommendation in Twitter using fuzzy link prediction
Linear models for cost-sensitive classification
Towards explainability in robotics: A performance analysis of a cloud accountability system
Towards the search of detection in speech-relevant features for stress
Expert system design for credit risk evaluation using neuro-fuzzy logic
A new expert system for learning management systems evaluation based on neutrosophic sets
Prediction of COVID-19 active cases using exponential and non-linear growth models
Data-driven fault diagnosis approaches for industrial equipment: A review
On the gravitation-based classification: A novel algorithm using equilibrium points for enhanced learning and dimensionality reduction
Neural network ensembles: combining multiple models for enhanced performance using a multistage approach
Artificial plant optimization algorithm to detect infected leaves using machine learning
Human activity recognition based on kinematic features
Dominance-based rough set theory over interval-valued information systems
Effective energy usage and data compression approach using data mining algorithms for IoT data
MTFDN: An image copy-move forgery detection method based on multi-task learning
Special issue: Recent advances in deep learning, biometrics, health informatics and data science
Knowledge-aware representation learning for diagnosis prediction
A relationship-aware methodology for context-aware service selection
A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging
Solving the Rubik's cube with stepwise deep learning
Toc-Tum mini-games: An educational game accessible for deaf culture based on virtual reality
A hybrid one-class approach for detecting anomalies in industrial systems
A singular intelligence
RETRACTION: Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women
An early warning system for detection of financial crisis using financial market volatility
Tribute to Professor Miltos Petridis
Automatic assignment of reviewers in an online peer assessment task based on social interactions
Feature selection for support vector machine in financial crisis prediction: a case study in China
An approach for community detection in social networks based on cooperative games theory
CXRNet: CNN-attention based CXR image classifier
Underwater image enhancement using contrast correction
Enhancing Analytic Hierarchy Process Modelling Under Uncertainty With Fine-Tuning LLM
Introduction to the special issue on engineering semantic agent systems
Conceptual feature generation for textual information using a conceptual network constructed from Wikipedia
Evolutionary fusion of classifiers trained on linear prediction based features for replay attack detection
Deep learning-influenced joint vehicle-to-infrastructure and vehicle-to-vehicle communication approach for internet of vehicles
Dual resource constrained flexible job shop scheduling with sequence-dependent setup time
Solving predictive control problem of fast-varying multivariable systems by incorporating unknown active dynamics generated by real-time adaptive learning machine
Dynamic analysis and simulation study of knowledge flow under the perspective of industrial transfer
Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism
Effective deep learning based multimodal sentiment analysis from unstructured big data
Three-dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm
...And the pursuit of happiness: International migratory flows and countries' subjective well-being
Modified Smith predictor with a robust disturbance reduction scheme for linear systems with small time delays
A Universal neighbourhood rough sets model for knowledge discovering from incomplete heterogeneous data
Evaluating significant features in context-aware multimodal emotion recognition with XAI methods
A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning
Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge
MarCHGen: A framework for generating a malware concept hierarchy
Case-based reasoning for predicting the success of therapy
Improving Paragraph Similarity by Sentence Interaction With BERT
Knowledge modeling through computational agents: application to surveillance systems
Android ransomware detection using binary Jaya optimization algorithm
Privacy-preserving federated learning cyber-threat detection for intelligent transport systems with blockchain-based security
A novel hybrid random convolutional kernels model for price volatlity forecasting of precious metals
Analogy retrieval and processing with distributed vector representations
M 2 CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion
DAE-GAN: An autoencoder based adversarial network for Gaussian denoising
An agent-based modelling approach to build up educational digital games for kindergarten and primary schools
Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID-19 testing laboratory selection problem
Detection of neurodegenerative disease in brain using region splitting based segmentation with deep unsupervised neural networks
Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results