yusuke1997/dblp-id-title huggingface dataset:
A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems
A functional neural fuzzy network for classification applications
Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites
Comments on "Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm"
The valuation of RFID investment using fuzzy real option
Fuzzy fault diagnosis based on fuzzy robust v-support vector classifier and modified genetic algorithm
Decomposition based deep projection-encoding echo state network for multi-scale and multi-step wind speed prediction
Ontology based approach to Bayesian student model design
Collective intelligence as mechanism of medical diagnosis: The iPixel approach
Outdoor exit detection using combined techniques to increase GPS efficiency
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Knowledge-aware modeling of group commonality for group recommendation
Vision-based hand gesture recognition using deep learning for the interpretation of sign language
An imprecise deep forest for classification
Design of an intelligent supplier relationship management system: a hybrid case based neural network approach
Boundary-aware contrastive network for rotating machinery fault diagnosis under unknown long-tailed class distribution
Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography
Evaluation of quality measures for contrast patterns by using unseen objects
A pipeline and comparative study of 12 machine learning models for text classification
LaTAS-F: Locality-aware transformer architecture search with multi-source fusion for driver continuous braking intention inference
Managing uncertainty to improve decision-making in NPD portfolio management with a fuzzy expert system
Data protection and efficient transmission for smart healthcare: An RDHEI approach based on LZW compression and composite key mechanism
Efficient heterogeneous proximity preserving network embedding model
A novel data-centric AI approach based on sensitivity and correlation analyses: A case study on multi-organ plant disease classification
Multiplex graph prompt collaboration for open-set social event detection
Optimization and extensions of a fuzzy multicriteria decision making method and applications to selection of touristic destinations
A multilayer stacking method base on RFE-SHAP feature selection strategy for recognition of driver's mental load and emotional state
Prize-collecting Electric Vehicle routing model for parcel delivery problem
Structured learning for unsupervised feature selection with high-order matrix factorization
ECG beat classification using particle swarm optimization and radial basis function neural network
Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification
A multi-agent reinforcement learning framework for optimizing financial trading strategies based on TimesNet
A novel wind turbine fault diagnosis method based on compressive sensing and lightweight SqueezeNet model
Wi-Fi CSI fingerprinting-based indoor positioning using deep learning and vector embedding for temporal stability
A direct interval extension of TOPSIS method
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem
PackMASNet: An information integration approach for quality inspection in industry 5.0
Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems
Nonlinear sliding mode controller using disturbance observer for permanent magnet synchronous motors under disturbance
Random effects model for estimating effectiveness of advertising in online marketplaces
A new framework for mining weighted periodic patterns in time series databases
Dynamic Programming algorithms and their applications in machine scheduling: A review
A bidirectional workflow scheduling approach with feedback mechanism in clouds
On the development of a technology intelligence tool for identifying technology opportunity
Highly transparent steganography model of speech signals using Efficient Wavelet Masking
Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts
A two-step image segmentation based on clone selection multi-object emperor penguin optimizer for fault diagnosis of power transformer
Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Predefined-time robust adaptive gradient neural network for solving linear time-varying equations and its applications
Fx-spot predictions with state-of-the-art transformer and time embeddings
Persistent neural calibration for discharges modelling in drought-stressed catchments
Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems
LMIs-based stability analysis and fuzzy-logic controller design for networked systems with sector nonlinearities: Application in tunnel diode circuit
Robust statistical recognition and reconstruction scheme based on hierarchical Bayesian learning of HRR radar target signal
Query expansion for document retrieval based on fuzzy rules and user relevance feedback techniques
Credibility assessment of financial stock tweets
The intelligent social event observer: Multi-source continuous event integration, discovery, and induction with LLMs
Augmented features to detect image splicing on SWT domain
A self-adapted method for the categorization of social resources
Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe
ActionMixer: Temporal action detection with Optimal Action Segment Assignment and mixers
Goal-oriented common benchmarking based on global and stepwise reallocation: An application to 18 ports in Korea
An integrated modeling method for collaborative vehicle routing: Facilitating the unmanned micro warehouse pattern in new retail
Uncertainty-aware image inpainting with adaptive feedback network
Sequential manifold learning for efficient churn prediction
Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks
Solving fuzzy multiple objective generalized assignment problems directly via bees algorithm and fuzzy ranking
Extracting reducible knowledge from ANN with JBOS and FCANN approaches
Mixture of autoregressive modeling orders and its implication on single trial EEG classification
Feature selection-based decision model for UAV path planning on rough terrains
Multi-objective distributed generation hierarchical optimal planning in distribution network: Improved beluga whale optimization algorithm
An incremental knowledge acquisition-based system for critical domains
Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization
Swarm optimized cluster based framework for information retrieval
Random walk through a stock network and predictive analysis for portfolio optimization
Data mining-based variable assessment methodology for evaluating the contribution of knowledge services of a public research institute to business performance of firms
Neural nets versus conventional techniques in credit scoring in Egyptian banking
A smart sensor-data-driven optimization framework for improving the safety of excavation operations
A fuzzy inference system-based criterion-referenced assessment model
A Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization
Website reorganization using an ant colony system
Mechanic signal analysis based on the Haar-type orthogonal matrix
Superclass-aware visual feature disentangling for generalized zero-shot learning
Customer churn prediction using improved balanced random forests
An artificial immune classification method with deep feature enhancement and dynamic memory cells optimization
Normalized Mutual Information-based equilibrium optimizer with chaotic maps for wrapper-filter feature selection
Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags
Swarm robotics for collaborative object transport using a pushing strategy
Stock market movement forecast: A Systematic review
A novel constrained non-negative matrix factorization method based on users and items pairwise relationship for recommender systems
CBR methodology application in an expert system for aided design ship's engine room automation
Differential evolution with migration mechanism and information reutilization for global optimization
Region-Focused CNN with Dynamic Adaptive Graph Attention Network for stereogram evoked EEG recognition
International location selection for production fragmentation
Specifying and verifying contract-driven service compositions using commitments and model checking
Multi-class skin lesion classification using prism- and segmentation-based fractal signatures
Precision farming: Using an IoT multimodal data-driven deep network to optimize irrigation in wheat crops
Fuzzy process capability indices with asymmetric tolerances
Characterization and analysis of sales data for the semiconductor market: An expert system approach
Evolving trading strategies using directional changes
The development of a video retrieval system using a clinician-led approach
Virtual organization for open innovation: Semantic web based inter-organizational team formation
Personalized and adaptive neural networks for pain detection from multi-modal physiological features
A novel combinatorial merge-split approach for automatic clustering using imperialist competitive algorithm
CANOD: A Competence Assessment Network for Open Source Software Developers
Evidence combination rule with contrary support in the evidential reasoning approach
A new unconstrained global optimization method based on clustering and parabolic approximation
Predicting multilateral trade credit risks: comparisons of Logit and Fuzzy Logic models using ROC curve analysis
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19
Spider specie identification and verification based on pattern recognition of it cobweb
Knowledge modelling for the motion detection task: the algorithmic lateral inhibition method
Spatial-temporal incident-aware dynamic graph convolution networks for traffic flow prediction
Aligning sequence and structure representations leveraging protein domains for function prediction
A lightweight smoke detection network incorporated with the edge cue
Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions
Chaos-based support vector regressions for exchange rate forecasting
Selecting features from multiple feature sets for SVM committee-based screening of human larynx
Applying NSGA-II to vehicle routing problem with drones considering makespan and carbon emission
Attention-enhanced ConvNeXt for accurate, efficient, and interpretable crack detection
Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach
Graph Augmentation Networks Based on Dynamic Sentiment Knowledge and Static External Knowledge Graphs for aspect-based sentiment analysis
Attribute value weighting in k-modes clustering
Towards screening of children students with autism spectrum disorder based on executive functions with serious game and machine learning approaches
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis
Cyber-physical models for distributed CAV data intelligence in support of self-organized adaptive traffic signal coordination control
ART 2 - an unsupervised neural network for PD pattern recognition and classification
Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps
Enhancing firefighter safety and efficiency through UAV-assisted AI-based human motion recognition system
A framework for context-aware self-adaptive mobile applications SPL
Service strategies and channel coordination in the age of E-commerce
Multi-objective Semi-supervised clustering for finding predictive clusters
Data mining techniques on satellite images for discovery of risk areas
Expert system for clustering prokaryotic species by their metabolic features
Companion learning Networks: A deep reinforcement learning algorithm with partner networks
TAMS: A CNN-based time attention network for time series sensor data with feature points of bicycle accident
Fuzzy TODIM method based on alpha-level sets
Functional connectivity guided deep neural network for decoding high-level visual imagery
MDGFormer: Multi-domain omni sensing and co-guided for dental segmentation
Mixture of Spatial-Temporal Graph Transformer Networks for urban congestion prediction using multimodal transportation data
An effective binary artificial bee colony algorithm for maximum set k -covering problem
Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection
Distributed representations of diseases based on co-occurrence relationship
Performance analysis of cellular automata Monte Carlo Simulation for estimating network reliability
Fuzzy mean-variance-skewness portfolio model driven by dynamic risk and return
Prediction of well performance in SACROC field using stacked Long Short-Term Memory (LSTM) network
A multi-criteria decision support model for evaluating the performance of partnerships
Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience
Predicting long-term stock movements with fused textual features of Chinese research reports
A centroidal Voronoi tessellation based intelligent control algorithm for the self-assembly path planning of swarm robots
A similarity-based approach for data stream classification
An efficient bi-objective personnel assignment algorithm based on a hybrid particle swarm optimization model
Modeling of spring-back in V-die bending process by using fuzzy learning back-propagation algorithm
Machine learning based phishing detection from URLs
Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance
Few shot intelligent assessment method for compaction quality of earthwork considering uncertainty
A visual analytics framework for cluster analysis of DNA microarray data
Paradigm shift from Artificial Neural Networks (ANNs) to deep Convolutional Neural Networks (DCNNs) in the field of medical image processing
An investigation of data and text mining methods for real world deception detection
A new importance-performance analysis approach for customer satisfaction evaluation supporting PSS design
Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM
An ensemble method for nuclei detection of overlapping cervical cells
Modeling of interactions among sustainability components of an agro-ecosystem using local knowledge through cognitive mapping and fuzzy inference system
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks
Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays
An evolutionary algorithm for order splitting with multiple transport alternatives
WebDigital: A Web-based hybrid intelligent knowledge automation system for developing digital marketing strategies
Mining top-N high-utility operation patterns for taxi drivers
Electric vehicle routing and charging management in road transportation and power distribution systems: An iterative multistage approach
GA-OMTL: Genetic algorithm optimization for multi-task neural architecture search in NIR spectroscopy
A comprehensive loss analysis-based decision support method for e-democratic multi-agent cooperative decision-making
Two-phase sub population genetic algorithm for parallel machine-scheduling problem
Dual-channel representation consistent recommender for session-based new item recommendation
A novel multi-attribute group decision-making method for heterogeneous preferences and attribute interaction contexts
Fuzzy reasoning used to detect apneic events in the sleep apnea-hypopnea syndrome
A random walk algorithm for automatic construction of domain-oriented sentiment lexicon
Solving pick-up and delivery problems via deep reinforcement learning based symmetric neural optimization
Emotion-driven reasoning model for agent-based human-computer negotiation
Robust fault diagnosis of wind turbines based on MANFIS and zonotopic observers
Discriminative target predictor based on temporal-scene attention context enhancement and candidate matching mechanism
A window of opportunity: Assessing behavioural scoring
Combining NeuroEvolution and Principal Component Analysis to trade in the financial markets
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems
Hybrid Multi-Agent Strategy Discovering Algorithm for human behavior
Weighted SCL model for adaptation of sentiment classification
Portfolio optimization of equity mutual funds with fuzzy return rates and risks
Probabilistic prediction system based on quantile deep learning model and multi-level information recognition
Clustering Indian stock market data for portfolio management
Feasible prediction in S-system models of genetic networks
Data mining application on crash simulation data of occupant restraint system
Using new attribute construction to incorporate the expertise of human experts into a smuggling vessels classification system
Development of a suspiciousness measure with reduced redundancy for screening machine sets in serial-parallel multistage manufacturing processes
DSNet: A vehicle density estimation network based on multi-scale sensing of vehicle density in video images
A new on-line monitoring method of transformer winding axial displacement based on measurement of scattering parameters and decision tree
A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification
Simulation of a paper mill wastewater treatment using a fuzzy neural network
Multi-class support vector machine for classification of the ultrasonic images of supraspinatus
Detection and tracking of the trajectories of dynamic UAVs in restricted and cluttered environment
A novel approach for classification of epileptic seizures using matrix determinant
ISL recognition system using integrated mobile-net and transfer learning method
Modeling lane-changing spatiotemporal features based on the driving behavior generation mechanism of human drivers
An empirical analysis on auto corporation training program planning by data mining techniques
The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks
An ensemble-based approach to the security-oriented classification of low-level log traces
Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook
BiTA: Bi-directional tuning for lossless acceleration in large language models
Personalization technology application to Internet content provider
Increasing adaptability of a speech into sign language translation system
A new oversampling method in the string space
Hybrid fleet composition and scheduling for road-based cross-border logistics under cost differentiation: A bi-level programming approach
Cooperative survival principles for underground flooding: Vitae System based multi-agent simulation
SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization
A self-attention TCN-based model for suicidal ideation detection from social media posts
Differential evolution based on ε-domination and orthogonal design method for power environmentally-friendly dispatch
A heuristic rule adaptive selection approach for multi-work package project scheduling problem
Semi-supervised learning with dropouts
Early author profiling on Twitter using profile features with multi-resolution
An improved actor-critic architecture with PPO for the traveling salesman problem
Dynamic integrated process planning and scheduling under multi-resource constraints in workshops with reconfigurable manufacturing cells: a novel hyper-heuristic approach
Generalized Zero-Shot Learning using Identifiable Variational Autoencoders
EEG emotion recognition through a domain-adversarial multi-feature fusion network
Subspace learning for feature selection via rank revealing QR factorization: Fast feature selection
Feature extraction of auto insurance size of loss data using functional principal component analysis
Company data sharing, product innovation and competitive strategies
On removing conflicts for machine learning
A differential evolution algorithm for the manufacturing cell formation problem using group based operators
The impact of term-weighting schemes and similarity measures on extractive multi-document text summarization
Erratum to "An ontology approach to support FMEA studies" [Expert Systems with Applications 37 (1) (2010) 671-677]
Selecting an action to satisfy multiple aspects of a system based on uncertain granular observations
Effective personalized recommendation based on time-framed navigation clustering and association mining
Deep synergetic spiking neural P systems for the overall survival time prediction of glioblastoma patients
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems
RecRisk: An enhanced recommendation model with multi-facet risk control
Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
A color image encryption and decryption scheme based on extended DNA coding and fractional-order 5D hyper-chaotic system
Chat mining: Automatically determination of chat conversations' topic in Turkish text based chat mediums
COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy
A historical search-guided evolutionary framework for dynamic multiobjective optimization
An integrated approach to achieving optimal design of computer games
A comprehensive data-driven MCDM approach to determine the best single objective function for the aircraft sequencing and scheduling problem
Riemann-Liouville fractional integral type exponential sampling Kantorovich series
CAFE-Net: Cross-Attention and Feature Exploration Network for polyp segmentation
A local patch regression-based generative model for urban flood prediction in data-poor areas
Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
Influential user weighted sentiment analysis on topic based microblogging community
Mining changes in customer behavior in retail marketing
A traffic dynamic operation risk assessment method using driving behaviors and traffic flow Data: An empirical analysis
Mining the text information to optimizing the customer relationship management
An expert system for diagnosis of the heart valve diseases
Development of a knowledge management initiative and system: A case study
JOINT: Java ontology integrated toolkit
A Fuel Efficient Green Vehicle Routing Problem with varying speed constraint (F-GVRP)
A study of applying data mining to early intervention for developmentally-delayed children
An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell
Kernel robust singular value decomposition
Multirobot coordination with deep reinforcement learning in complex environments
VisTFC: Vision-guided target-side future context learning for neural machine translation
Failure analysis expert system for onshore pipelines. Part-II: End-User interface and algorithm