yusuke1997/dblp-id-title huggingface dataset:
Attention based hybrid parametric and neural network models for non-stationary time series prediction
Smartphone Sensor-Based Physiological Parameter Monitoring: Advances, Apps, and Discussions
Avoiding excess computation in asynchronous evolutionary algorithms
Modified spider monkey optimization algorithm based feature selection and probabilistic neural network classifier in face recognition
Insights from a text mining survey on Expert Systems research from 2000 to 2016
A Particle Swarm Optimization-Based Approach Coupled With Large Language Models for Prompt Optimization
Comparison of different classifier algorithms for diagnosing macular and optic nerve diseases
Monitoring water quality through a telematic sensor network and a fuzzy expert system
Knowledge sourcing and knowledge reuse in the virtual product prototyping: an exploratory study in a large automotive supplier of R&D
Building an expert system for printer forensics: A new printer identification model based on niching genetic algorithm
3D brain image-based Alzheimer's disease detection techniques using fish swarm optimizer's deep convolution Siamese neural network
Marine radar monitoring IoT system and case study of target detection based on PPI images
Implementation of sliding mode backstepping controller for boost converter in real-time for LED application
Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model
Improving the accuracy and speed of fast template-matching algorithms by neural architecture search
Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques
Categorial expert systems
A new approach based on a discrete hidden Markov model using the Rocchio algorithm for the diagnosis of heart valve diseases
One-step multiple kernel k -means clustering based on block diagonal representation
Relaxed constraints support vector machine
Construction of families of probability boxes and corresponding membership functions at different fractiles
Optimizing healthcare data quality with optimal features driven mutual entropy gain
A knowledge-based system for the recycling of non-hazardous industrial residuals in civil engineering applications
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
Fog Computing for Artificial Intelligence Digital Textbooks: Educational Scaffolding and Security and Privacy Challenges
A semantic guide-based embedding method for knowledge graph completion
Electronic music composition thinking using visual learning and visual sensing technology
Pareto-Koopmans efficiency in two-stage network data envelopment analysis in the presence of undesirable intermediate products and nondiscretionary factors
Fight detection with spatial and channel wise attention-based ConvLSTM model
Towards adaptive and transparent tourism recommendations: A survey
Calibration and frequency estimation in sensors for electrical parameter measurement using regression and metaheuristic based models
Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques
Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis
Emotional Climate Recognition in Speech-Based Conversations: Leveraging Deep Bispectral Image Analysis and Affect Dynamics
Decision-tree-based methods for differential diagnosis of β-thalassemia trait from iron deficiency anemia
Predicting repayment of borrows in peer-to-peer social lending with deep dense convolutional network
An Attention-Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification
Adapter-Regularised Continual Learning for Dynamic Financial Sentiment Encoding in Multi-Modal Market Fusion
PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signals
Reasoning under uncertainty for plant disease diagnosis
Enhancing AG News Classification With Hypergraph Attention Networks and Quadratic SVM
Interpretable deep learning based text regression for financial prediction
Neural Networks for Space Debris Classification
Architecture and implementation of a smart-pregnancy monitoring system using web-based application
Radial eco-efficiency in the presence of weakly disposable undesirable outputs: Evaluating agricultural sectors
Faster Region-based Convolutional Neural Networks with You Only Look Once multi-stage caries lesion from oral panoramic X-ray images
Neural network applications for automatic new topic identification of FAST and Excite search engine transaction logs
A knowledge acquisition methodology to ontology construction for information retrieval from medical documents
e-Learning recommender system for a group of learners based on the unified learner profile approach
An automated face mask detection system using transfer learning based neural network to preventing viral infection
Exploring the relationship between system development life cycle and knowledge accumulation in Taiwan's IT industry
Diagnostic evaluation of low-rank matrix denoising algorithm-based magnetic resonance imaging on tibial plateau fracture complicated with meniscus injury
Automating application software generation
Experimental evaluations of proportional-integral-derivative type fuzzy controllers with parameter adaptive methods for an active magnetic bearing system
Contextual reliability discounting in welding process diagnostic based on DSmT
Developments of fuzzy PID controllers
Job offers recommender system based on virtual organizations
The AppVox mobile application, a tool for speech and language training sessions
Fuzzy logic control theory in clinical anesthesia
A Social Group Chatbot System by Multiple Topics Tracking and Atkinson-Shiffrin Memory Model Using AI Agents Collaboration
A simulation tool for monitoring elderly who suffer from disorientation in a smart home
Artificial Orca Optimiser: Theory and Applications for Global Optimisation Problems
Rough-fuzzy quadratic minimum spanning tree problem
EEG-based automatic multi-class classification of epileptic seizure types using recurrence plots
Modular configuration of service elements based on the improved K-means algorithm
An enhanced method for surface defect detection in workpieces based on improved MobileNetV2-SSD
Ontology integration within a service-oriented architecture for expert system applications using sensor networks
Integrating structural control, health monitoring, and energy harvesting for smart cities
Editorial: Another millennium, another editorial..
Feature-weighted AdaBoost classifier for punctuation prediction in Tamil and Hindi NLP systems
Hybrid intelligent framework for automated medical learning
Implementation of an optimized binary classification by GMDH-type neural network algorithm for predicting the blast produced ground vibration
A hybrid feature selection model based on butterfly optimization algorithm: COVID-19 as a case study
Privacy-Preserving Crowd Counting via Quantum-Enhanced Federated Learning
Enhancing text classification with attention matrices based on BERT
Iwinac 2017: Assistive intelligence for the elderly
Big data and data science: what should we teach?
A Novel Hyper-Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation
Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform
Trend mining in social networks: from trend identification to visualization
Passenger travel behaviour on Chinese high-speed railways using machine learning based on revealed-preference data
Data envelopment analysis with classification and regression tree - a case of banking efficiency
Deep transfer learning for COVID-19 fake news detection in Persian
A Novel m CAD for pediatric metabolic brain diseases incorporating DW imaging and MR spectroscopy
Supply chain operation evaluation and management decision by fuzzy cognitive map model
Efficient adaptive ensembling for image classification
DenGraph-HO: a density-based hierarchical graph clustering algorithm
Digital innovation and transformation capabilities in a large company
Hyperbolic Space Feature Enhancement and Interaction Mechanism for Classification on Small Multimodal Medical Datasets
A comparative study of approaches to forecast the correct trading actions
Development of a fuzzy push delivery scheme for Internet sites
Measuring systemic and systematic risk in the financial markets using artificial intelligence
A replication study on implicit feedback recommender systems with application to the data visualization recommendation
BLSNet: Skin lesion detection and classification using broad learning system with incremental learning algorithm
Is attention all you need for intraday Forex trading?
Machine learning approaches for neurological disease prediction: A systematic review
A 64-channel scheme for autism detection via scaled conjugate gradient-based neural network classification of electroencephalogram ripples' complexity
An integrated method for real time and offline web robot detection
Peri-ictal and non-seizure EEG event detection using generated metadata
RETRACTION: Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning
Generalized hop-based approaches for identifying influential nodes in social networks
RETRACTION: Frequency aware task scheduling using DVFS for energy efficiency in Cloud data centre
A reinforcement learning approach to competitive ordering and pricing problem
KDBI special issue: Time-series pattern verification in CNC turning - A comparative study of one-class and binary classification
Developer load balancing bug triage: Developed load balance
Evaluation and ranking of failures in manufacturing process by combining best-worst method and VIKOR under type-2 fuzzy environment
A scheduling algorithm based on the singular value decomposition heuristic method in a distributed manufacturing system
RETRACTION: Using Electroencephalogram Classification in a Convolutional Neural Network, Infer Privacy on Healthcare Internet of Things 5.0
A model of a decision support system based on case-based reasoning for third-party logistics evaluation
A Survey on Model-Driven Engineering and Domain-Specific Languages for Chatbot Development: Requirements, Challenges and Solutions
Creation of original Tamil character dataset through segregation of ancient palm leaf manuscripts in medicine
Leveraging Ethical Narratives to Enhance LLM-AutoML Generated Machine Learning Models
Local Causal Discovery Towards High-Dimensional Streaming Features
Tuning structural parameters of neural networks using genetic algorithm: A credit scoring application
Feature selection for clustering categorical data with an embedded modelling approach
Towards personalized environment-aware outdoor gait analysis using a smartphone
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention
Heterogeneous Graph Distillation for Stance Prediction
A hybrid convolutional neural network-support vector machine architecture for classification of super-resolution enhanced chromosome images
A mood- and situation-based model for developing intuitive Pop music recommendation systems
A hybrid data envelopment analysis and multi-attribute decision making approach to sustainability assessment
Soft computing for abuse detection using cyber-physical and social big data in cognitive smart cities
The journal of knowledge engineering special issue on WorldCist'19 - Seventh World Conference on Information Systems and Technologies
Improving Safety and Efficiency of Industrial Vehicles by Bio-Inspired Algorithms
Categorical surrogation of agent-based models: A comparative study of machine learning classifiers
Integrating E-Business XML Business Forms and Rule-Based Agent Technologies
Retyping of triple-negative breast cancer based on clustering method
Genetic algorithm-based price and warranty optimization in software systems
Covid-19 cases prediction using SARIMAX Model by tuning hyperparameter through grid search cross-validation approach
A class of monotone kernelized classifiers on the basis of the Choquet integral
A methodology for assessing the effect of portfolio management on NPD performance based on Bayesian network scenarios
Temporal Evolution Pathway and Forecasting of Non-Fossil Energy Consumption and Carbon Emission Under China's Carbon Peak Target: A Markov Switching AR and RNN Approach
Eliciting and prioritizing quality requirements supported by ontologies: a case study using the ElicitO framework and tool
Providing decision support for replenishment operations using a genetic algorithms based fuzzy system
Enhanced meta-heuristic methods for industrial winding process modelling
Evaluation and selection of medical tourism sites: A rough analytic hierarchy process based multi-attributive border approximation area comparison approach
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises
Toxic Discourse in the Digital Battlefield: Analysing Telegram Channels During the Russia-Ukraine 'Conflict'
Incremental one-class classification on stationary data stream using two-quarter sphere
AI -Driven Intelligent Feedback System for Enhancing Self-Assessment Accuracy in Higher Education Writing
Weight attention layer-based document classification incorporating information gain
The Extraction of Trading Rules From Stock Market Data Using Rough Sets
Project performance prediction model linking agility and flexibility demands to project type
Emergency decision making with extended axiomatic design approach under picture fuzzy environment
Extending CLIPS to support temporal representation and reasoning
RETRACTION: The Model of Tibetan Thangka Sales under Blockchain Technology
Progressive heuristic search for probabilistic planning based on interaction estimates
Metaheuristic algorithm to train product and sigmoid neural network classifiers
A hybrid data-level sampling approach in learning from skewed user-click data for click fraud detection in online advertising
An integrated probabilistic linguistic projection method for MCGDM based on ELECTRE III and the weighted convex median voting rule
A new system for automatic analysis and quality adjustment in audiovisual subtitled-based contents by means of genetic algorithms
ShareChain: Blockchain-enabled model for sharing patient data using federated learning and differential privacy
Global optimization of feature weights and the number of neighbors that combine in a case-based reasoning system
A review of detecting malware in android devices based on machine learning techniques
A hybrid knowledge and ensemble classification approach for prediction of venous thromboembolism
Unveiling the Differences in Early Performance Prediction Between Online Social Sciences and STEM Courses Using Educational Data Mining
A secure mHealth application for attention deficit and hyperactivity disorder
An improved TOPSIS approach for the competitiveness analysis of provincial information resource industries in China
A case of rule-based heuristics for scheduling hot rolling seamless steel tube production
ARDIS: knowledge-based architecture for visual system configuration in dynamic surface inspection
Progressive search personalization and privacy protection using federated learning
An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization
Age invariant face recognition using discriminative tensor subspace learning with fuzzy based classification
Providing developmental feedback to individuals from different ethnic minority groups using expert systems
Privacy preservation of data using modified rider optimization algorithm: Optimal data sanitization and restoration model
Joint object contour points and semantics for instance segmentation
Evolutionary state-based novel multi-objective periodic bacterial foraging optimization algorithm for data clustering
Analysing biosensor clinical pathogen information using mayfly optimized convolute neural network approach
Special issue 'role of artificial intelligence in medical imaging'
General Industrial Process Optimization Method to Leverage Machine Learning Applied to Injection Moulding
Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG)
Inducing safer oblique trees without costs
A new data envelopment analysis method for ranking decision making units: an application in industrial parks
Adapting the CMIM algorithm for multilabel feature selection. A comparison with existing methods
Semi-supervised, knowledge-integrated pattern learning approach for fact extraction from judicial text
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport
Syntax-based metamorphic relation prediction via the bagging framework
Data envelopment analysis with neutrosophic inputs and outputs
Intelligent monitoring for people assistance and safety
An empirical comparison of cost-sensitive decision tree induction algorithms
An optimized extreme learning machine-based novel model for bearing fault classification
Optimal Task Allocation and Sequencing for Flight Test Based on a Memetic Algorithm With Lexicographic Optimisation
A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing
Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata
Development of an Intelligent Data-Mining System for a Dispersed Manufacturing Network
SEMAFLEX: A novel approach for implementing workflow flexibility by deviation based on constraint satisfaction problem solving
Adoption of blockchain + Internet of Things in demand forecasting of farm supply chain
Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning
The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm
Cloud-based provenance framework for duplicates identification and data quality enhancement
Uncertainty based genetic algorithm with varying population for random fuzzy maximum flow problem
An unsupervised policy relevance scoring method: Taking Chinese social security policies as the application case
Bone age estimation from carpal radiography images using deep learning
Content-based image retrieval based on binary signatures cluster graph
Identification of transcription factor binding sites using Gaussian mixture models
Machine Learning Algorithms to Address the Polarity and Stigma of Mental Health Disclosures on Instagram
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems
Automatic Code Summarization Using Abbreviation Expansion and Subword Segmentation
The Performance of Distances Between Time Series: An In-Depth Comparison
RETRACTION: Hybrid Multi Agent Optimization for Optimal Battery Storage Using Micro Grid
An AI knowledge-based system for police assistance in crime investigation
Estimation of forest biomass from light detection and ranging data by using machine learning
Cascade convolutional neural network-long short-term memory recurrent neural networks for automatic tonal and nontonal preclassification-based Indian language identification
A bio-inspired tool for managing resilience in enterprise networks with embedded intelligent formulation
Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia
An actor model for rule-based systems
Intent detection for task-oriented conversational agents: A comparative study of recurrent neural networks and transformer models
Setting accessibility preferences about learning objects within adaptive elearning systems: User experience and organizational aspects
Nested variational autoencoder for topic modelling on microtexts with word vectors
Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge
Exploring the impact of online news sentiment and relevance on stock market risks: A signalling theory perspective
Multi-feature gait analysis approach using deep learning in constraint-free environment
Convolution network model based leaf disease detection using augmentation techniques
Predicting academic success by using context variables and probabilistic classification
Recent advances in control algorithms for smart structures and machines
Classification of single-cell cervical pap smear images using EfficientNet
A reasoning method for a ship design expert system
AI in the next millennium
The risk evaluation and management of the sports service supply chain by introducing fuzzy comprehensive appraisal and artificial intelligence technology
A BERT-Based Multi-Embedding Fusion Method Using Review Text for Recommendation
EIC Editorial: A time of change
Internet of agents system for age and gender classification using grasshopper optimization with deep convolution neural networks
Advances in multisensor information fusion: A Markov-Kalman viscosity fuzzy statistical predictor for analysis of oxygen flow, diffusion, speed, temperature, and time metrics in CPAP
Hybrid artificial intelligence approach to urban planning
Modified particle swarm optimization based magnetic resonance imaging analysis for identification of risk factors tissue damage incidence
Study on the mechanism of customers' participation in knowledge sharing
Ant colony based fish crowding degree optimization algorithm for magnetic resonance imaging segmentation in sports knee joint injury assessment
Automated emotion recognition employing a novel modified binary quantum-behaved gravitational search algorithm with differential mutation
Artificial intelligence for heart sound classification: A review
Linearformer: Tri-Net Multi-Layer DVF Medical Image Registration
Demosaicking Algorithm Using Swin Transformer and Long-Range Attention Network
Predicting and reducing "hospital-acquired infections" using a knowledge-based e-surveillance system
Predictive Analysis of Global Terrorist Attacks Using Lexical Patterns Across Multiple Datasets
A hierarchical automatic phoneme recognition model for Hindi-Devanagari consonants using machine learning technique
VLSI implementation of image compressor using probabilistic run length coding
Using electroencephalogram classification in a convolutional neural network, infer privacy on healthcare internet of things 5.0
Cognitive Based Detection of Anomalous Sequences Using Bayesian Surprise
Forecasting of Taiwan's weighted stock Price index based on machine learning
Classifiers sensitive to external context - theory and applications to video sequences
RETRACTION: Internet of Agents System for Age and Gender Classification Using Grasshopper Optimization With Deep Convolution Neural Networks
Entropy-based hybrid sampling (EHS) method to handle class overlap in highly imbalanced dataset
Classification of brain tumours in MRI images using convolutional neural network through Cat Swarm Optimization
Genetic doping algorithm (GenD): theory and applications
Effective implementation of machine learning algorithms using 3D colour texture feature for traffic sign detection for smart cities
RETRACTION: Model Innovation of Students' Mental Health Education from the Perspective of Big Data
Airport take-off and landing optimization through genetic algorithms
Forgetting curve models: A systematic review aimed at consolidating the main models and outlining possibilities for future research in production
A new computer-aided diagnostic method for classifying anaemia disease: Hybrid use of Tree Bagger and metaheuristics
User profiling on the Web based on deep knowledge and sequential questioning
Performance evaluation of various classifiers for predicting knee angle from electromyography signals
Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy
An EEMD-LSTM, SVR, and BP decomposition ensemble model for steel future prices forecasting