yusuke1997/dblp-id-title huggingface dataset:
CoGCN: Combining co-attention with graph convolutional network for entity linking with knowledge graphs
2008 changes to the Editorial Board of Expert Systems
Dragon Boat Optimization: A Meta-Heuristic for Intelligent Systems
ELSTM: An improved long short-term memory network language model for sequence learning
A semi-supervised network based on feature embeddings for image classification
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
HSV model-based segmentation driven facial acne detection using deep learning
Analysing stable feature selection through an augmented marine predator algorithm based on opposition-based learning
Auto encoder with mode-based learning for keyframe extraction in video summarization
Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X-Ray Images on Cloud Computing
Qualitative analysis of goat and sheep production data using self-organizing maps
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
Multi-source BERT stack ensemble for cross-domain author profiling
Detection and delineation of P and T waves in 12-lead electrocardiograms
Recommender systems in social and online learning environments
Improving e-learning recommendation by using background knowledge
A Radial Basis Function Neural Network Multicultural Factors Evaluation Engine For Product Concept Development
Transforming Healthcare With Artificial Intelligence and Blockchain: A Secure, Transparent and Energy-Efficient Approach
Contextual embedded text summarizer system: A hybrid approach
A cumulative belief degree approach for group decision-making problems with heterogeneous information
A hybrid model for financial time-series forecasting based on mixed methodologies
A semantic interoperability approach to health-care data: Resolving data-level conflicts
EFNet: An Effective Facial Expression Recognition Network for Infants
Classification and rule induction using rough set theory
Efficient and Compressed Deep Learning Model for Brain Tumour Classification With Explainable AI for Smart Healthcare and Information Communication Systems
Using Tsetlin Machine to discover interpretable rules in natural language processing applications
Towards utilization of rule base structure to support fuzzy rule interpolation
A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks
A precise method of identifying Android application family
Knowledge Discovery and Business Intelligence
Estimation of optimum thresholds for binary classification using genetic algorithm: An application to solve a credit scoring problem
Bug severity prediction using LDA and sentiment scores: A CNN approach
Machine learning techniques for the ab initio Bravais lattice determination
A Fuzzy Decision-Making Support Model for Traffic Safety Analysis
A multi-criteria decision making approach for strategy formulation using Pythagorean fuzzy logic
Intelligence in educational environments
Approaches to Automatic Classification, Detection and Segmentation of Breast Arterial Calcification Using Deep Learning
Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
Improved multi-criteria group decision-making method considering hesitant fuzzy preference relations with self-confidence behaviours for environmental pollution emergency response process evaluation
Human activity recognition by wireless body area networks through multi-objective feature selection with deep learning
A rendezvous block-based authentication framework for service-level security in decentralized cloud resources
Shannon-Cosine wavelet precision integration method for image enhancement based on fractional partial differential equations
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks
FNLP-ONT: A feasible ontology for improving NLP tasks in Persian
Leveraging social semantic components in executable environments for learning
A novel hybrid method for selecting soccer players during the transfer season
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete Fourier transform
Early prediction and monitoring of sepsis using sequential long short term memory model
A programmable agent for knowledge discovery on the Web
Evolution of superFeatures through genetic programming
Application of big data information system in early diagnosis, treatment, and nursing of cervical cancer infected by human papillomavirus
The boundary node method for multi-robot multi-goal path planning problems
A design for a common-sense knowledge-enhanced decision-support system: Integration of high-frequency market data and real-time news
A deep learning semantic segmentation architecture for COVID-19 lesions discovery in limited chest CT datasets
Modelling material flow using the Milk run and Kanban systems in the automotive industry
Performance evaluation of rule-based expert systems: An example from medical billing domain
Piece-wise constant cluster modelling of dynamics of upwelling patterns
Cloud Layer and Precipitation Forecasting via Multi-Scale Gated Temporal and Spatial Attention Network
A SCORPAN-based data warehouse for digital soil mapping and association rule mining in support of sustainable agriculture and climate change analysis in the Maghreb region
Impacts of the carbon tax on green shipping supply chain under the port competition
Generative artificial intelligence and adversarial network for fraud detections in current evolutional systems
Enriching conflict resolution environments with the provision of context information
Network intrusion detection system by learning jointly from tabular and text-based features
A regularization-based deep unsupervised model for affine multimodal co-registration
Multi agent deep reinforcement learning for resource allocation in container-based clouds environments
Facial emotion recognition using convolutional neural network based krill head optimisation
Identification and resolution of conflicts during ontological integration using rules
A new clustering method based on the bio-inspired cuttlefish optimization algorithm
A Lightweight Multi-Scale Feature Enhancement Network for Person Re- ID
Hybrid multi agent optimization for optimal battery storage using micro grid
Evaluation of user interface design metrics by generating realistic-looking dashboard samples
Research on corporate financial performance prediction based on self-organizing and convolutional neural networks
Customer preference analysis towards online shopping decisions based on optimized feature extraction
Using Virtual Programming Lab to improve learning programming: The case of Algorithms and Programming
Federated Cross-Domain Recommendation Framework With Graph Neural Network
An Arabic expert system for voice synthesis
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques
Extended vertical lists for temporal pattern mining from multivariate time series
The sorting techniques: a tutorial paper on card sorts, picture sorts and item sorts
Onyx: A new Canvas-based tool for visualizing biomedical and health ontologies
A fusion of variants of sentence scoring methods and collaborative word rankings for document summarization
Financial decision support using neural networks and support vector machines
Typicality-based collaborative filtering for book recommendation
Arabic Short-Text Dataset for Sentiment Analysis of Tourism and Leisure Events
Adaptive ankle impedance control for bipedal robotic upright balance
Automated generation of new knowledge to support managerial decision-making: case study in forecasting a stock market
Automated and intelligent system for World Health Organization data forecasting
Integrity verification and behavioral classification of a large dataset applications pertaining smart OS via blockchain and generative models
A supervised learning-based approach for focused web crawling for IoMT using global co-occurrence matrix
Leveraging quantum-inspired chimp optimization and deep neural networks for enhanced profit forecasting in financial accounting systems
Investigations on optimization techniques for stabilized clinical images
Special issue on innovative techniques and applications of artificial intelligence
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator
Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications
Label Ranking Forests
GBNN algorithm enhanced by movement planner for UV-C disinfection
Time-selective integrated scheduling algorithm with backtracking adaptation strategy
Optimization on selecting XGBoost hyperparameters using meta-learning
Environment classification using Kohonen self-organizing maps
Combining domain knowledge and machine learning for robust fall detection
RETRACTION: Dynamic Relationship Network and International Management of Enterprise Supply Chain by Particle Swarm Optimization Algorithm under Deep Learning
Data mining based storage assignment heuristics for travel distance reduction
Subgroup mining for performance analysis of regression models
A case-based reasoning approach for building a decision model
Evaluating the short-term effect of cross-market discounts in purchases using neural networks: A case in retail sector
A multi-scale feature fusion convolutional neural network for facial expression recognition
Compressed lightweight deep learning models for resource-constrained Internet of things devices in the healthcare sector
A new DEA-based method for fully ranking all decision-making units
Drugs-Protein affinity-score prediction using deep convolutional neural network
Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression
Medical Data Classification Using Genetic Programming: A Systematic Literature Review
Deep learning-based aggregate analysis to identify cut-off points for decision-making in pancreatic cancer detection
CasText: Fusion of Text Information Flow and Global Perspective for Predicting the Size of Information Dissemination
Operation-based approach for documenting software architecture knowledge
Modified Lamport Merkle Digital Signature blockchain framework for authentication of internet of things healthcare data
Special section on mining knowledge from scientific data
Membership-based aircraft parking stand allocation system with time window constraints: An event-based time-space separated algorithm
A deep learning approach for specular highlight removal from transmissive materials
Variable precision intuitionistic fuzzy rough set model and applications based on conflict distance
No-Reference Image Quality Assessment: Past, Present, and Future
A systematic review on deep learning architectures and applications
On the Robustness of Transformer-Based Models to Different Linguistic Perturbations: A Case of Study in Irony Detection
Enhancing Deepfake Audio Detection: A ResNet Framework Based on Hybrid Features and Self-Attention Mechanism
Deep learning based brain tumour architecture for weight sharing optimization in federated learning
A computer-based system for road selection
An adaptive stacked hourglass network with Kalman filter for estimating 2D human pose in video
Recent trends in knowledge and data integration for the life sciences
Automating maintenance for a one-way transmitting blackboard system used for autonomous multi-tier control
Improving the prediction of learning outcomes in educational platforms including higher level interaction indicators
The construction of enterprise's financial supply chain management under blockchain technology
Evolutionary coincidence-based ontology mapping extraction
Automatic detection surface defects based on convolutional neural networks and deflectometry
NeuralConflict: Using neural networks to identify norm conflicts in normative documents
Physics-based search and optimization: Inspirations from nature
An improved MULTIMOORA method with combined weights and its application in assessing the innovative ability of universities
Indicators of expert judgement and their significance: an empirical investigation in the area of cyber security
From AI to the Era of Explainable AI in Healthcare 5.0: Current State and Future Outlook
Multi-objective sunflower optimization: A new hypercubic meta-heuristic for constrained engineering problems
Engineering knowledge engineering
Diagnostic expert systems: a method for engineering knowledge used in sequential diagnosis
P-SCADA - A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications
Deep learning based identification of aquatic and semi aquatic plants
Multi-objective robust fuzzy fractional order proportional-integral-derivative controller design for nonlinear hydraulic turbine governing system using evolutionary computation techniques
Diagnosis of infectious factors in patients with chronic glomerular disease using deep learning-based health information data
A supervised machine learning model for determining lubricant oil operating conditions
TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization
A novel transformer attention-based approach for sarcasm detection
On tangling
Cluster-based ensemble of classifiers
Advances and trends for the development of ambient-assisted living platforms
A Method-Oriented Review of Explainable Artificial Intelligence for Neurological Medical Imaging
A Systematic Review on Text Summarization: Techniques, Challenges, Opportunities
Multi-agent modelling and simulation of graph-based predator-prey dynamic systems: A BDI approach
RETRACTION: Data-driven Decision-making Model Based on Artificial Intelligence in Higher Education System of Colleges and Universities
Zone Oriented Binary Multi-Objective Charged System Search Based Feature Selection Approach for Multi-Label Classification
Multi-criteria probabilistic dual hesitant fuzzy group decision making for supply chain finance credit risk assessments
A prototype store choice and location modelling system using Dempster-Shafer theory
Extended PROMETHEE approach with 2-tuple linguistic m -polar fuzzy sets for selection of elliptical cardio machine
Intelligent path planning algorithm of Autonomous Underwater Vehicle based on vision under ocean current
Speaker verification inspired by the physiology of hearing using spiking self-organising map
GNN-EnKF Fusion: A Novel Framework for Cotton Canopy Nitrogen Inversion Using Multi-Source Remote Sensing Fusion and Crop Growth Model Assimilation
A fuzzy self-organizing map algorithm for biological pattern recognition
Intelligent Computing for Crop Monitoring in CIoT: Leveraging AI and Big Data Technologies
A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays
Multiple-attribute decision-making spherical vague normal operators and their applications for the selection of farmers
Applying information ecological theory to analyse the green supply chain management system in universities
Application of generally weighted moving average method to tracking signal state space model
A genetic algorithm approach to solving the anti-covering location problem
A genetic tango attack against the David-Prasad RFID ultra-lightweight authentication protocol
Determination of the appropriate parameters for K-means clustering using selection of region clusters based on density DBSCAN (SRCD-DBSCAN)
Large-Scale Multi-Objective Optimization Algorithms: A Decade Survey
Assessing the importance of autistic attributes for autism screening
Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey
Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns
Marine predators optimization with deep learning model for video-based facial expression recognition
A clustering-based feature selection framework for handwritten Indic script classification
Human action recognition using an ensemble of body-part detectors
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words
An outranking method for multicriteria decision making with probabilistic hesitant information
Extracting grey relational systems from incomplete road traffic accidents data: the case of Gauteng Province in South Africa
RETRACTION: The Energy Storage and Optimal Dispatch Supply Chain for New Energy Grids Using Edge Computing and the Internet of Things
Aggressive pruning strategy for time series retrieval using a multi-resolution representation based on vector quantization coupled with discrete wavelet transform
Statistical learning from Brazilian fake news
The journal of knowledge engineering special issue on WorldCist'17 - fifth world conference on information systems and technologies
Implementing a fuzzy expert system for ensuring information technology supply chain
H7N9 avian influenza diagnosis based on a multilayer belief rule-based inference methodology
Grading Open-Ended Questions Using LLMs and RAG
Investigating the effectiveness of Twitter sentiment in cryptocurrency close price prediction by using deep learning
Supply chain risk management of badminton supplies company using decision tree model assisted by fuzzy comprehensive evaluation
Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices
A citywide TD-learning based intelligent traffic signal control for autonomous vehicles: Performance evaluation using SUMO
Increasing the speed of fuzzy k-nearest neighbours algorithm
Next activity prediction of ongoing business processes based on deep learning
Fetal health classification from cardiotocographic data using machine learning
Deep learning-based image processing for financial audit risk quantification in healthcare
Carbon emission reduction policy simulation based on the CGE model
Multi-attribute group decision-making based on linguistic Pythagorean fuzzy copula extended power average operator
Threshold multiparty multi-randomness secure partially homomorphic encryption for data security in cloud
Semantic segmentation and colorization of grayscale aerial imagery with W-Net models
Optimizing hybrid deep learning models for drug-target interaction prediction: A comparative analysis of evolutionary algorithms
Sparsity-aware support vector data description reinforced by expectation maximization
Evaluating the performance of banking under risk regulations: a slacks-based Data Envelopment Analysis assessment framework
A new and efficient ant-based heuristic method for solving the traveling salesman problem
An AI powered system call analysis with bag of word approaches for the detection of intrusions and malware in Australian Defence Force Academy and virtual machine monitor malware attack data set
MapReduce paradigm: DNA sequence clustering based on repeats as features
Special issue on future hybrid artificial intelligence and machine learning for smart expert systems
Productivity measurement of industrial sector in China regarding air pollution
RETRACTION: Linking AI Supply Chain Strength to Sustainable Development and Innovation: A Country-Level Analysis
T-VAE: Transformer-Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data
Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models
An efficient hybrid similarity measure based on user interests for recommender systems
On a responsive replenishment system: a fuzzy logic approach
Smart decision for device selection in D2D-assisted multi-path video transmission network
Expert systems: The journal of knowledge engineering special issue on WorldCist'16 - 4th world conference on information systems and technologies
Mining clusters and corresponding interpretable descriptions - a three-stage approach
Improved detection of small objects in road network sequences using CNN and super resolution
Open architecture computer-aided diagnosis system
Design and development of a vision-based system for detection, tracking and recognition of isolated dynamic bare hand gesticulated characters
Editorial: Blockchain-based 6G and industrial internet of things systems for industry 4.0/5.0
Twitter and Sentiment Analysis for Wildfire Heat Mapping
Automatically solving two-variable linear algebraic word problems using text mining
Feature optimization and identification of ovarian cancer using internet of medical things
A new methodology for carbon price forecasting in EU ETS
A hybrid solution approach for fuzzy multiobjective dual supplier and material selection problem of carton box production systems
Robust anomaly detection in industrial images by blending global-local features
Data science methods for response, incremental response and rate sensitivity to response modelling in banking
Eliminating the high false-positive rate in defect prediction through BayesNet with adjustable weight
Predicting performance in ASEAN banks: an integrated fuzzy MCDM-neural network approach
Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation
Auxiliary cognition system-based management strategy optimization of supply chain of new energy in oil-gas enterprises
Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach
Intelligent computational methods for economics
Exploring deep learning techniques for illuminance estimation
BlockU: Extended usage control in and for Blockchain
Design of a case-based logistics strategy system - an integrated approach
An Enhanced Hiking Optimization Algorithm With Attention Mechanism for a Practical Joint Replenishment and Delivery Problem
Introduction to the special issue on advances in ontologies
An effective overlapping community merging method oriented to multidimensional attribute social networks
Improving the k -nearest neighbour rule: using geometrical neighbourhoods and manifold-based metrics
Supply chain benefit distribution and economic sustainable development by Shapley model in smart city
Application of choice models in tourism recommender systems
A context-awareness model for activity recognition in robot-assisted scenarios
Diffusion strategies for face swiping medical service using evolutionary game theory
A semantic-enabled and context-aware monitoring system for the internet of medical things
Wearable ECG signal processing for automated cardiac arrhythmia classification using CFASE-based feature selection
Revisiting the Wang-Mendel algorithm for fuzzy classification
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis
Comparative analysis of paraphrasing performance of ChatGPT, GPT-3, and T5 language models using a new ChatGPT generated dataset: ParaGPT
A review of deep learning-based approaches for deepfake content detection
A multi-label cascaded neural network classification algorithm for automatic training and evolution of deep cascaded architecture
Random subspace method with class separability weighting
Ontology-Based Smart Medical Solutions
Advancing democratic processes in Ecuador: A case study on neural network-driven OCR for election report verification
Special issue on International conference on computing and communication networks (ICCCN2022)
Sampling approaches to reduce very frequent seasonal time series
Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive
A deep learning approach for the depression detection of social media data with hybrid feature selection and attention mechanism
Optimal direct mailing modelling based on data envelopment analysis
DemocracyGuard: Blockchain-based secure voting framework for digital democracy