yusuke1997/dblp-id-title huggingface dataset:
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Reasoning and change management in modular fuzzy ontologies
Evaluating the integration of fuzzy logic into the student model of a web-based learning environment
Detection and prevention of sinkhole attacks in MANETS based routing protocol using hybrid AdaBoost-Random forest algorithm
Population declining ant colony optimization algorithm and its applications
Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle
Implementation of generic algorithm in map-matching model
Demonstrating non-inferiority of easy interpretable methods for insolvency prediction
A modified Kohonen map algorithm for clustering time series data
Fuzzy logic control with genetic membership function parameters optimization for the output regulation of a servomechanism with nonlinear backlash
Learning user interest with improved triplet deep ranking and web-image priors for topic-related video summarization
Improved differential evolution algorithms for solving generalized assignment problem
Feature disentanglement and cross-domain synthesis via federated style transfer for Non-IID segmentation
A novel image dataset for detecting and classifying mobility aid users
Nadir compromise programming: A model for optimization of multi-objective portfolio problem
Integrated decision support model for selection of industrial wastewater treatment technologies
Application of uniform experimental design theory to multi-strategy improved sparrow search algorithm for UAV path planning
Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach
Optimization study of county multi-level power grid co-dispatch based on hybrid game considering multivariate source-load interaction
Clinical CT image super-resolution using pixel-wise hybrid high-dimension mapping-based implicit neural representation
Intern retrieval from community question answering websites: A new variation of expert finding problem
Designing business logistics networks using model-based reasoning and heuristic-based searching
Variable Global Feature Selection Scheme for automatic classification of text documents
Fast color-spatial feature based image retrieval methods
A comparison of random forest variable selection methods for classification prediction modeling
Noise-free principal component analysis: An efficient dimension reduction technique for high dimensional molecular data
BRPPNet: Balanced privacy protection network for referring personal image privacy protection
Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model
Business ecosystem and stakeholders' role transformation: Evidence from Chinese emerging electric vehicle industry
Adaptive load shedding for an industrial petroleum cogeneration system
A novel feature selection algorithm for text categorization
A practical extension of web usage mining with intentional browsing data toward usage
A vision-based analysis system for gait recognition in patients with Parkinson's disease
A novel belief entropy and its application in cooperative situational awareness
A degree centrality-enhanced computational approach for local network alignment leveraging knowledge graph embeddings
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
A novel tree-based dynamic heterogeneous ensemble method for credit scoring
A general feature-weighting function for classification problems
Classification of texture based on Bag-of-Visual-Words through complex networks
CrossModalNet: A dual-modal object detection network based on cross-modal fusion and channel interaction
Expert systems for time-varying biomedical signals using eigenvector methods
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit
Cooperative scheduling and subcontracting strategies for products with yield decay: A mixed-integer programming approach
Artificial intelligence-based detection and assessment of ascites on CT scans
Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO)
Development of reservoir operation policies considering variable agricultural water demands
Probabilistic hybrid machine learning models for predicting shear strength of flanged squat reinforced concrete walls
E-YOLO: Recognition of estrus cow based on improved YOLOv8n model
A fully-automated deep learning pipeline for cervical cancer classification
Modeling the opinion dynamics of superstars in the film industry
Plang: Efficient prompt engineering language for blending natural language and control flow in large language models
State-of-the-art on mapping maintenance and challenges towards a fully automatic approach
Adaptive iterated local search for the parallel row ordering problem
Digital footprint approach for the study of competitiveness in wineries
Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory
Markerless tracking system for augmented reality in the automotive industry
Persian sign language (PSL) recognition using wavelet transform and neural networks
Frequency domain transfer learning for remote sensing visual question answering
A multi-objective co-evolutionary algorithm of scheduling on parallel non-identical batch machines
Certificate sharing system for secure certificate distribution in mobile environment
Evolution of communities in dynamic social networks: An efficient map-based approach
RDG-TE: Link reliability-aware DRL-GNN-based traffic engineering in SDN
Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage
Multi-period optimization with loss-averse customer behavior: Joint pricing and inventory decisions with stochastic demand
A systematic approach for new service concept generation: Application of agent-based simulation
Evidence reasoning for temporal uncertain information based on relative reliability evaluation
Air compressor load forecasting using artificial neural network
An overview of multi-attribute auctions: bibliometrics, methodologies, applications and future directions
Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA-WISP approach
Hybrid flow shop scheduling with continuous processing and resource threshold constraints: A case of steel plant
ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
Class-specific weighted broad learning system-based domain adaptation for patient-specific ECG classification
A framework for detecting unknown defect patterns on wafer bin maps using active learning
Fault diagnosis of car assembly line based on fuzzy wavelet kernel support vector classifier machine and modified genetic algorithm
OSLPNet: A neural network model for street lamp post extraction from street view imagery
A computing coordination based fuzzy group decision-making (CC-FGDM) for web service oriented architecture
Web usage mining with intentional browsing data
Grey relational analysis between hesitant fuzzy sets with applications to pattern recognition
Managing data quality of cooperative information systems: Model and algorithm
Mathematical formulations for the scheduling of unrelated parallel machines considering machine availability and eligibility
Use of hybrid multiple uncertain attribute decision making techniques in safety management
A study of the application of ontology to an FAQ automatic classification system
TT-graph: A new model for building social network graphs from texts with time series
A synthetic data-enhanced method for automated 3D pose recognition of construction workers
Physics-informed calibration model for enhanced accuracy in particulate matter monitoring integrating clustering algorithms with field validation
EMPC: Efficient multi-view parallel co-learning for semi-supervised action recognition
A scalable gait acquisition and recognition system with angle-enhanced models
Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosis
Trajectory optimization for exposure to minimal electromagnetic pollution using genetic algorithms approach: A case study
A hybrid algorithm based on tabu search and ant colony optimization for k-minimum spanning tree problems
A decomposition and dynamic niching distance-based dual elite subpopulation evolutionary algorithm for multimodal multiobjective optimization
WILDetect: An intelligent platform to perform airborne wildlife census automatically in the marine ecosystem using an ensemble of learning techniques and computer vision
Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
Diagnosis for monitoring system of municipal solid waste incineration plant
REACH: Researching Efficient Alignment-based Conformance Checking
Local interaction and non-local coordination in agent social law diffusion
An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance
Brain network topology unraveling epilepsy and ASD Association: Automated EEG-based diagnostic model
Optimizing search engines results using linear programming
ESOD-YOLOv8: Small object detection enhanced with auto-disturbance rejection convolution
Data description and noise filtering based detection with its application and performance comparison
Application of an intelligent classification method to mechanical fault diagnosis
Sign Language Recognition: A Deep Survey
Robust visual tracking with extreme point graph-guided annotation: Approach and experiment
Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Learning barriers diagnosis based on fuzzy rules for adaptive learning systems
A novel acknowledgment-based approach against collude attacks in MANET
Development of an expert system to select materials for the main structure of a transfer crane designed for disabled people
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Combining SKU-level sales forecasts from models and experts
Forecasting stock market index daily direction: A Bayesian Network approach
Providing solutions for carbon emission reduction using the TOE framework
Cross-level collaborative context-aware framework for medical image segmentation
Linear classifier design under heteroscedasticity in Linear Discriminant Analysis
Toward consistency between humans and classifiers: Improved performance of a real-time brain-computer interface using a mutual learning system
Patient length of stay in trauma networks: Insights from advanced modelling
Medicine-Shelf matching strategy based on Bayesian convolutional neural network with fuzzy analytic hierarchy process
DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction
A Q-learning-based multi-objective hyper-heuristic algorithm with fuzzy policy decision technology
A support system for automatic classification of hypertension using BCG signals
Knowledge discovery from noisy imbalanced and incomplete binary class data
Structural damage identification based on Bayesian theory and improved immune genetic algorithm
A novel pipeline based on line-structured features and cross-camera perspectives for coarse aggregate point cloud registration
Animal identity recognition based on gait features
A weighted distance-based approach with boosted decision trees for label ranking
A lattice-based data sharing functional encryption scheme with HRA security for IoT
Detection of important features and comparison of datasets for fall detection based on wrist-wearable devices
Least squares support vector machine employing model-based methods coefficients for analysis of EEG signals
The evaluation of data sources using multivariate entropy tools
Attribute reduction based on adaptive neighborhood rough sets and three-way pied kingfisher optimizer
Research on patent quality evaluation based on rough set and cloud model
Markov blanket-based universal feature selection for classification and regression of mixed-type data
Dynamic Salp swarm algorithm for feature selection
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
A comparison of separation routines for benders optimality cuts for two-level facility location problems
Toward practical and plausible counterfactual explanation through latent adjustment in disentangled space
Evolving Generative Adversarial Networks to improve image steganography
A novel hybrid learning algorithm for parametric fuzzy CMAC networks and its classification applications
Hybrid advanced player selection strategy based population search for global optimization
GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms
A TENGRAM method based part-of-speech tagging of multi-category words in Hindi language
An algorithm for the solution of second order fuzzy initial value problems
All-nearest-neighbors finding based on the Hilbert curve
TCAC-transformer: a fast convolutional transformer with temporal-channel attention for efficient industrial fault diagnosis
Use of BDST and an ANN model for prediction of dye adsorption efficiency of Eucalyptus camaldulensis barks in fixed-bed system
Enhanced sparse representation classifier for text classification
Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals
Traffic flow prediction model based on multi-period spatial-temporal stepwise search
An expert system to physician-detailing planning
An effective weight initialization method for deep learning: Application to satellite image classification
Hybrid of neural network and decision knowledge approach to generating influence diagrams
Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting
Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems
Mind the gap between PV generation and residential load curves: Maximizing the roof-top PV usage for prosumers with an IoT-based adaptive optimization and control module
Influential spreaders identification in complex networks with improved k-shell hybrid method
A multi-layer text classification framework based on two-level representation model
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
Random block coordinate descent method for multi-label support vector machine with a zero label
Insect identification expert system for forest protection
The role of automated planning in battle management systems for military tactics
Fast parallel computation of reduced row echelon form to find the minimum distance of linear codes
System-level integration of deep learning and computer vision for contact ring seal defect detection in semiconductor manufacturing
The two-echelon vehicle routing problem with time windows, intermediate facilities, and occasional drivers
ModeleR: An enviromental model repository as knowledge base for experts
FCMAC-EWS: A bank failure early warning system based on a novel localized pattern learning and semantically associative fuzzy neural network
GRAG-ProSafe QAS: Graph retrieval-augmented generation for process production safety intelligent question and answer system
From text to signatures: Knowledge transfer for efficient deep feature learning in offline signature verification
DC-BiNet: Towards interpretable generated image detection with dark channel prior
A hybrid grouping genetic algorithm for reviewer group construction problem
HICL: Hierarchical Intent Contrastive Learning for sequential recommendation
Homomorphic graph matching of articulated objects by an integrated recognition scheme
On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance
Edge magnitude based multilevel thresholding using Cuckoo search technique
An open platform for the protocolization of home medical supervision
Photosynthetic algorithm approaches for bioinformatics
Robust real-time traffic light detection and distance estimation using a single camera
A two-fold rule-based model for aspect extraction
Deriving and validating emotional dimensions from textual data
Establishing a dynamic and static knowledge model of the manufacturing cell management system: An active push approach
A hybrid modeling approach for forecasting the volatility of S&P 500 index return
Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry
A family of fuzzy multi-criteria sorting models FTOPSIS-Sort: Features, case study analysis, and the statistics of distinctions
Latent knowledge reasoning incorporated for multi-fitting decoupling detection on electric transmission line
Appointment Scheduling Problem under Fairness Policy in Healthcare Services: Fuzzy Ant Lion Optimizer
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Novel large scale brain network models for EEG epileptic pattern generations
RAM: Real Time Activity Monitoring with feature extractive training
Process optimization of sedimentation self-assembly of opal photonic crystals under relative humidity-controlled environments
B3D-EAR: Binarized 3D descriptors for ear-based human recognition
Pattern recognition with cerebellar model articulation controller and fractal features on partial discharges
Design and implementation of GEmA: A generic emotional agent
TDRLM: Stylometric learning for authorship verification by Topic-Debiasing
TSGS: Two-stage security game solution based on deep reinforcement learning for Internet of Things
Differential electronic nose and support vector machine for fast recognition of tobacco
Dual-source gramian angular field method and its application on fault diagnosis of drilling pump fluid end
Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection
RLUC: Strengthening robustness by attaching constraint considerations to policy network
Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data
Spatial-temporal multi-feature fusion network for long short-term traffic prediction
An efficient hybrid Taguchi-genetic algorithm for protein folding simulation
Similarity of users' (content-based) preference models for Collaborative filtering in few ratings scenario
Fuzzy system modelling of drinking water consumption prediction
Automatic driver cognitive fatigue detection based on upper body posture variations
Multi-surrogate-assisted stochastic fractal search based on scale-free network for high-dimensional expensive optimization
Robust control of congestion in computer networks: An adaptive fractional-order approach
A new perspective on fuzzy process capability indices: Robustness
Preserving data and model privacy during inference and training
STLLM-GAN: Spatio-temporal LLM Generative Adversarial Network for PM2.5 prediction
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
A Fuzzy Petri Nets approach for railway traffic control in case of abnormality: Evidence from Taiwan railway system
Multi-objective dynamic flexible job shop scheduling using multi-head network-based deep reinforcement learning
Judgmental consistency and consensus in stochastic multicriteria decision making
Fuzzy multiple attributes group decision-making based on fuzzy induced OWA operators
Ambient Assisted Living system for in-home monitoring of healthy independent elders
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
Comments on "Albayrak, M., & Allahverdy N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem by aid of genetic algorithms. Expert Systems with Applications, 38(3), 1313-1320": A proposal of good practice
A distributed real-time pricing strategy based on reinforcement learning approach for smart grid
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems
A discrete colonial competitive algorithm for hybrid flowshop scheduling to minimize earliness and quadratic tardiness penalties
Knowledge-based models for emergency management systems
A novel multi-agent genetic algorithm for limited-view computed tomography
Knowledge guided self-evolving fuzzy deep reinforcement learning with dual-adaptive optimization strategy
Genetic algorithm for text clustering using ontology and evaluating the validity of various semantic similarity measures
Inmamusys: Intelligent multiagent music system
Enhancing driver situational awareness through crowd intelligence
A new 2D cross hyperchaotic Sine-modulation-Logistic map and its application in bit-level image encryption
Corporate default forecasting with machine learning
Developing a semantic-enable information retrieval mechanism
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning
A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional
Granular fuzzy pay-off method for real option valuation
Soft and evolutionary computation based data association approaches for tracking multiple targets in the presence of ECM
A density connection weight-based clustering approach for dataset with density-sparse region
On verification of nested workflows with extra constraints: From theory to practice
Forecasting stock market short-term trends using a neuro-fuzzy based methodology
An improved random forest based on the classification accuracy and correlation measurement of decision trees
Aggregation of preference relations to enhance the ranking quality of collaborative filtering based group recommender system
An underwater-imaging-model-inspired no-reference quality metric for images in multi-colored environments
Natural language based analysis of SQuAD: An analytical approach for BERT
Passage retrieval based hidden knowledge discovery from biomedical literature
Facilitating applications of SSVEP-BCI by effective Cross-Subject knowledge transfer
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators
The (σ, S) policy for uncertain multi-product newsboy problem
X-ray image based COVID-19 detection using evolutionary deep learning approach
An overview of the most influential journals in fuzzy systems research
An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
Application of Text Summarization techniques to the Geographical Information Retrieval task
Explainable deep learning model for stock price forecasting using textual analysis
Latent state recognition by an enhanced hidden Markov model
RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios
Two extended versions of ranking vector approach to estimation performance ranking
KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model
EnergyFormer: dual-supervised adaptive multi-scale Transformer for multistep energy forecasting