yusuke1997/dblp-id-title huggingface dataset:
Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy
Dual-proxies contrast-focused loss in domain generalization
Distributed mining of high utility time interval sequential patterns using mapreduce approach
Collaborative Defense-GAN for protecting adversarial attacks on classification system
A novel image-to-knowledge inference approach for automatically diagnosing tumors
Model-based approaches to profit-aware recommendation
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures
Novel regularization method for the class imbalance problem
An expert system for determining candidate software classes for refactoring
Ensemble based point and confidence interval forecasting in software engineering
Detecting the adherence of driving rules in an energy-efficient, safe and adaptive driving system
Motion Context guided Edge-preserving network for video salient object detection
A hypergraph-based framework for personalized recommendations via user preference and dynamics clustering
A prediction framework for pharmaceutical drug consumption using short time-series
Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment
SkillNER: Mining and mapping soft skills from any text
Efficient evolutionary multi-scale spectral-spatial attention fusion network for hyperspectral image classification
A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context
An improved differential evolution algorithm with dual mutation strategies collaboration
Smart plug for monitoring and controlling electrical devices with a wireless communication system integrated in a LoRaWAN
Online distributed evolutionary optimization of Time Division Multiple Access protocols
Multi-source multi-label feature selection with missing features
Semantic-Preserved Generative Adversarial Network optimized with Tyrannosaurus Optimization Algorithm for Liver Disorder Classification
A novel Siamese deep hashing model for histopathology image retrieval
Machine learning model for diagnostic method prediction in parasitic disease using clinical information
An association-based evolutionary ensemble method of variable selection
Subjective data arrangement using clustering techniques for training expert systems
Mining generalized temporal patterns based on fuzzy counting
Stores clustering using a data mining approach for distributing automotive spare-parts to reduce transportation costs
A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage
Grouping genetic operators for the delineation of functional areas based on spatial interaction
Random area pixel variation and random area transform for visible-infrared cross-modal pedestrian re-identification
Dynamic domain-based collision avoidance system for autonomous ships: Real experiments in coastal waters
Predicting business failure using multiple case-based reasoning combined with support vector machine
Dual-channel transformer: Integrating independence and dependence for time series forecasting
Alleviating imbalanced problems of reinforcement learning when applying in real-time power network dispatching and control
An integrated task and path planning approach for intelligent coordination of agricultural robots
DeepNAVI: A deep learning based smartphone navigation assistant for people with visual impairments
Geometric-aware RGB-D representation learning for hand-object reconstruction
Using GA to dispatch the obtaining quantity for minimizing the total cost based on consideration of patient safety in HSCM
Improving imbalanced classification using near-miss instances
Optimizing stock price forecasting: a hybrid approach using fuzziness and automated machine learning
Measuring knowledge management performance using a competitive perspective: An empirical study
Managing non-cooperative behaviors in consensus reaching process: A novel multi-stage linguistic LSGDM framework
Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets
C ε -LDE: A lightweight variant of differential evolution algorithm with combined ε constrained method and Lévy flight for constrained optimization problems
Interpretable LLMs for credit risk: A systematic review and taxonomy
A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of Modified Niched Genetic Algorithm
An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry
Group recommender system based on genre preference focusing on reducing the clustering cost
Knowledge graph attention network with path rotate encoding for recommendation
Predicting financial activity with evolutionary fuzzy case-based reasoning
A hybrid fault diagnostic approach using operational transfer path analysis and denoising deep learning with remote sensors: Application to electric vehicles
Kernel adaptive memory network for blind video super-resolution
Solution-based tabu search for the capacitated dispersion problem
Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]
Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients
Hybrid multiobjective particle swarm optimization with Q-learning-guided global search for dual-resource distributed heterogeneous hybrid flow-shop scheduling with setup times
Ordered fuzzy WASPAS method for selection of improvement projects
Quantitative analysis of morphological techniques for automatic classification of micro-calcifications in digitized mammograms
Estimating the quality of process yield by fuzzy sets and systems
A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method
Application of VPRS model with enhanced threshold parameter selection mechanism to automatic stock market forecasting and portfolio selection
An ontology engineering approach to measuring city education system performance
Erratum to "Cross-community interoperation between knowledge-based multi-agent systems: A study on EMERALD and Rule Responder" [Expert Systems with Applications 39 (10) (2012) 9571-9587]
Sequential three-way decision with adaptive thresholds and its applications in two binary classifiers
An interval-valued intuitionistic fuzzy multiattribute group decision making framework with incomplete preference over alternatives
Industrial steel slag flow data loading method for deep learning applications
You only click once: single point weakly supervised 3D instance segmentation for autonomous driving
Summary of FAQs from a topical forum based on the native composition structure
Superiority-comparison-based transformation, consensus, and ranking methods for heterogeneous multi-attribute group decision-making
Fuzzy rough DEA model: A possibility and expected value approaches
Remote decision support for wheeled mobility and seating devices
Image captioning based on scene graphs: A survey
Clinical text classification research trends: Systematic literature review and open issues
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Heterogeneous graph-based knowledge tracing with spatiotemporal evolution
Improving the performance of stochastic local search for maximum vertex weight clique problem using programming by optimization
Modeling user multiple interests by an improved GCS approach
Fairness-aware influence maximization: A novel Learning Automata-based approach
Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning
An optimal hybrid multiclass SVM for plant leaf disease detection using spatial Fuzzy C-Means model
Investigation of particle swarm optimization for switching characterization of inverter design
Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films
Mobility support for disadvantaged and disabled travelers during pandemic or similar situations
Towards fine-grained adaptive video captioning via Quality-Aware Recurrent Feedback Network
An investigation of neuro-fuzzy systems in psychosomatic disorders
VLCA: Vision-language feature enhancement with cross-Attention learning for facial expression recognition
H2-SLAN: A hyper-heuristic based on stochastic learning automata network for obtaining, storing, and retrieving heuristic knowledge
The impact of word sense disambiguation on stock price prediction
SC3D: Semantic-guided and Class-adaptive cross-domain fusion for 3D object detection in autonomous vehicles
Semi-automatic photograph tagging by combining context with content-based information
Nonlocal low-rank plus deep denoising prior for robust image compressed sensing reconstruction
A rule base modification scheme in fuzzy controllers for time-delay systems
Association rule hiding using cuckoo optimization algorithm
Mild cognitive impairment detection from facial video interviews by applying spatial-to-temporal attention module
Research on an advanced intelligence implementation system for engineering process in industrial field under big data
A slack-based two-stage improved particle swarm optimization algorithm for robust scheduling of a flexible job-shop with new and remanufacturing jobs
The multi-depot capacitated location-routing problem with fuzzy travel times
DNnet: A lightweight network for real-time 4K underwater image enhancement using dynamic range and average normalization
Multi-level discrimination index for intuitionistic fuzzy coverings and its applications in feature selection
A hybrid harmony search algorithm for the spread spectrum radar polyphase codes design problem
TMC-Net: A temporal multivariate correction network in temperature forecasting
A model for building probabilistic knowledge-based systems using divergence distances
An intelligent garment for online fetal well-being monitoring
Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method
Multiple instance learning for classifying students in learning management systems
Precise plant classification within genus level based on simulated annealing aided cloud classifier
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects
SCSU-Net: Skip connections and SAM-based U-Net for precise segmentation in underground coal mine locomotive safety systems
Grouped convolution dual-attention network for time series forecasting of water temperature in offshore aquaculture net pen
Generating prediction rules for liquefaction through data mining
Assessment of lean manufacturing effect on business performance using Bayesian Belief Networks
CP-Squared: A method for change point detection in core-periphery networks
Stock market trading rule discovery using two-layer bias decision tree
A neighborhood-based robust clustering algorithm using Apollonius function kernel
Synthesized minority Oversampling Technique-Reverse k-nearest Neighbors-K-Dimensional Tree for dairy food safety risk evaluation
Deception in the eyes of deceiver: A computer vision and machine learning based automated deception detection
Applying data mining to explore the risk factors of parenting stress
Improvement of grey models by least squares
Time-varying clustering for skew-symmetric data
Casting defect region segmentation method based on dual-channel encoding-fusion decoding network
Assessment of wood quality for Sape making: Vibroacoustic analysis and machine learning classification
Rule-based expert systems to support step-by-step guidance in algebraic problem solving: The case of the tutor PAT2Math
Bi-directional ensemble differential evolution for global optimization
Mining erasable itemsets with subset and superset itemset constraints
Information retrieval from scientific abstract and citation databases: A query-by-documents approach based on Monte-Carlo sampling
Random assignment method based on genetic algorithms and its application in resource allocation
Progressive boosting for class imbalance and its application to face re-identification
An adaptive hypergraph-based convolution network with dual spatiotemporal attention for PM2.5 forecasting
Sleep spindles recognition system based on time and frequency domain features
A novel two-stage dynamic pricing model for logistics planning using an exploration-exploitation framework: A multi-armed bandit problem
A novel Artificial Immune System for fault behavior detection
Development of an integrated decision making model for location selection of logistics centers in the Spanish autonomous communities
A fuzzy mixed integer goal programming approach for cooking and heating energy planning in rural India
Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines
Decomposition strategy and attention-based long short-term memory network for multi-step ultra-short-term agricultural power load forecasting
Expert systems at stage IV of the knowledge management technology stage model: The case of police investigations
Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment
Churn management optimization with controllable marketing variables and associated management costs
Minimizing the spread of misinformation using random influence subgraph sampling
An expert system for manufacturing systems machine selection
Merging event logs for process mining: A rule based merging method and rule suggestion algorithm
Pest-ConFormer: A hybrid CNN-Transformer architecture for large-scale multi-class crop pest recognition
Online disease risk monitoring using DEWMA control chart
A simulated annealing algorithm for manufacturing cell formation problems
Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem
CMRS: A digital twin enabled workers recruitment and task scheduling scheme for future crowdsourcing networks under precedence constraints
Balanced multi-objective evolution algorithm for unmanned systems project scheduling with preventive maintenance and order grouping constraints
Autoencoders and recommender systems: COFILS approach
Random image masking and in-batch feature mixing for self-supervised learning
Dempster-Shafer Theory in geographic information systems: A survey
Optimal gamma based fixed head hydrothermal scheduling using genetic algorithm
An adaptive differential evolution algorithm based on individual-level intervention strategy for global optimization
Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning
Two-stream regression network for dental implant position prediction
An information aggregation decision making method for UAV swarm intelligence system based on joint communication and proximal strategy
A novel classification strategy of motor imagery EEG signals utilizing WT-PSR-SVD-based MTSVM
Deep reinforcement learning-based column generation for the two-dimensional vector variable-sized packing problem
Painting in the air with Wii Remote
In the beginning was the Word: LLM-VaR and LLM-ES
Nonlinear time series forecasting with Bayesian neural networks
Brain compensation mechanisms of large language models in clinical decision-making in acupuncture: A fusion study using fNIRS and eye-tracking
A unified Personalized Federated Learning framework ensuring Domain Generalization
Ontology based personalized route planning system using a multi-criteria decision making approach
Impact of activation functions and number of layers on detection of exudates using circular Hough transform and convolutional neural networks
A vision-language network for stored-grain pest counting
Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion
Characteristics of viral messages on Telegram; The world's largest hybrid public and private messenger
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
A learning-based influence maximization framework for complex networks via K-core hierarchies and reinforcement learning
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images
A comparative study of nonlinear regression and autoregressive techniques in hybrid with particle swarm optimization for time-series forecasting
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients
Segmentation of telecom customers based on customer value by decision tree model
Prediction of venous clinical severity score in yoga practitioners and non-practitioners using discriminant analysis and metaheuristic algorithms
Evolving boundary detector for anomaly detection
The knowledge diffusion model associated with innovative knowledge
A dual-stage spatiotemporal information fusion network for video prediction
Heterogeneous graph grammars synchronization in CAD systems supported by hypergraph representations of buildings
An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time
Fog computing architecture for personalized recommendation of banking products
Using neural networks and data mining techniques for the financial distress prediction model
Fractional means based method for multi-oriented keyword spotting in video/scene/license plate images
Comparison of feature-level learning methods for mining online consumer reviews
Dynamic voltage collapse prediction in power systems using support vector regression
A meta-evaluation model on science and technology project review experts using IVIF-BWM and MULTIMOORA
Agent-based multi-edge network simulation model for knowledge diffusion through board interlocks
Corrigendum to "Multiple classifier application to credit risk assessment" [Expert Systems with Applications 37 (4) (2010) 3326-3336]
Knowledge sharing behavior of physicians in hospitals
Empirical study of human pose representations for gait recognition
DEA cross-efficiency models with prospect theory and distance entropy: An empirical study on high-tech industries
deepsing: Generating sentiment-aware visual stories using cross-modal music translation
Mutil-medical image encryption by a new spatiotemporal chaos model and DNA new computing for information security
A right kind of wrong: European equity market forecasting with custom feature engineering and loss functions
Developing hybrid machine learning models to assign health score to railcar fleets for optimal decision making
Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks
Digital twin-based multilevel attack detection and automotive preventing scheme using machine learning and deep learning approaches
SC4ANM: Identifying optimal section combinations for automated novelty prediction in academic papers
Mixed dissimilarity measure for piecewise linear approximation based time series applications
Knowledge spaces and places: From the perspective of a "born-global" start-up in the field of urban technology
Taxonomy alignment for interoperability between heterogeneous virtual organizations
A multi-criteria decision-making framework for metaverse adoption: evidence from higher education systems
Enhancing deep learning-based side-channel analysis using feature engineering in a fully simulated IoT system
A two-stage approach for discriminating melanocytic skin lesions using standard cameras
Ink removal by design: Leveraging structural cues for efficient and generalizable ink removal in whole slide pathology
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Optimal and efficient planning of charging stations for electric vehicles in urban areas: formulation, complexity and solutions
Internet of Vehicles (IoV) based Framework for Vehicle Degradation using Multidimensional Dynamic Time Warping (MDTW)
Multi-scale Gaussian process experts for dynamic evolution prediction of complex systems
An improved self-adaptive PSO technique for short-term hydrothermal scheduling
A latent Beta-Liouville allocation model
Using gravity model to make store closing decisions: A data driven approach
Anomaly detection method for satellite networks based on genetic optimization federated learning
Mutual equidistant-scattering criterion: A new index for crisp clustering
Corrigendum "Evaluating knowledge management capability of organizations: A fuzzy linguistic method" [Experts Systems with Applications 36 (2P2) (2009) 3346-3354]
Adaptive dynamic prediction mechanism and heuristic algorithm based fast threshold selection for reversible data hiding
Attribute selection-based recommendation framework for short-head user group: An empirical study by MovieLens and IMDB
Congestion control based ant colony optimization algorithm for large MIMO detection
Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms
An efficient semantic - Related image retrieval method
An efficient double adaptive random spare reinforced whale optimization algorithm
Entity representation for pairwise collaborative ranking using restricted Boltzmann machine
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
The impacts of online public opinions on stock price synchronicity in China: Evidence from stock forums
APSM: Adaptive privacy budget control in differentially private matching in electric vehicles
An ERP software selection process with using artificial neural network based on analytic network process approach
A variable size mechanism of distributed graph programs and its performance evaluation in agent control problems
An improved Shuffled Frog-leaping Algorithm to optimize component pick-and-place sequencing optimization problem
Intrauterine growth restriction (IUGR) risk decision based on support vector machines
Research on early fault intelligent diagnosis for oil-impregnated cage in space ball bearing
Sustainable optimization of balancing valve settings in urban heating systems with an enhanced Jaya algorithm
Design and development of an innovative individualized adaptive and intelligent e-learning system for teaching-learning of probability unit: Details of UZWEBMAT
An adaptive approximation method to discover frequent itemsets over sliding-window-based data streams
Hierarchy construction and text classification based on the relaxation strategy and least information model
Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis
A client-level dynamic federated learning reweighting strategy for long-tailed classification
POS-BERT: Point cloud one-stage BERT pre-training
Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis
A unified model between the weighted average and the induced OWA operator
Evaluation of an adaptive and intelligent educational hypermedia for enhanced individual learning of mathematics: A qualitative study
Storage space allocation at marine container terminals using ant-based control
T-FedHA: A Trusted Hierarchical Asynchronous Federated Learning Framework for Internet of Things
Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms
An online multi-agent path finding algorithm for large-scale puzzle-based conveyor system
Automatic summarization and annotation of videos with lack of metadata information
IVVI 2.0: An intelligent vehicle based on computational perception
Solving the traveling salesman problem using cooperative genetic ant systems
Spatio-temporal feature extraction network based multi-performance indicators synergetic monitoring method for complex industrial processes
ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system