yusuke1997/dblp-id-title huggingface dataset:
Multi-level and multi-scale cross attention network of wavelet packet transform for supersonic inlet unstart prediction
A local search method for periodic inventory routing problem
ISAIR: Deep inpainted semantic aware image representation for background subtraction
A systematic approach for developing a new business model using morphological analysis and integrated fuzzy approach
Principal component analysis based construction and evaluation of cryptocurrency index
Meta-Tuner: Meta-trained node-specific transformations for Graph Few-Shot Class-Incremental Learning
An analysis of property-function based patent networks for strategic R&D planning in fast-moving industries: The case of silicon-based thin film solar cells
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation
A low heterogeneity missing modality recovery learning for speech-visual emotion recognition
Coverage area maximization with parallel simulated annealing
A tag-topic model for blog mining
An advanced hyperheuristic approach for the home health care scheduling problem with time window in deterministic and uncertain environments
Random Interpolation Resize: A free image data augmentation method for object detection in industry
The impact of gradually replacing fossil fuel-powered vehicles with electric ones: A bi-objective optimisation approach
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data
Fingerprint classification based on decision tree from singular points and orientation field
An effective hypergraph influence blocking maximization strategy via neighbor approximate influence estimation
A generalized feature projection scheme for multi-step traffic forecasting
Impact damage characterization in CFRP samples with self-organizing maps applied to lock-in thermography and square-pulse shearography images
An unsupervised coarse-to-fine algorithm for blood vessel segmentation in fundus images
A team formation model based on knowledge and collaboration
Fact retrieval from knowledge graphs through semantic and contextual attention
Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization
Zero-Shot Content-Based Crossmodal Recommendation System
An enhancement for heuristic attribute reduction algorithm in rough set
Resolution enhancement of microwave sensors using super-resolution generative adversarial network
MDFN: Mask deep fusion network for visible and infrared image fusion without reference ground-truth
Enhancing text classification with neural label embedding and weakly-supervised learning
RL-CoSeg: A reinforcement learning-based collaborative localization and segmentation framework for medical image
Deep fake news detection system based on concatenated and recurrent modalities
Bayes goes big: Distributed MCMC and the drivers of E-commerce conversion
A novel EPI-guided network with progressive fusion for light field reconstruction
A new preference disaggregation TOPSIS approach applied to sort corporate bonds based on financial statements and expert's assessment
Efficient tumor detection in medical images using pixel intensity estimation based on nonparametric approach
Forecast daily tourist volumes during the epidemic period using COVID-19 data, search engine data and weather data
Robust worst-practice interval DEA with non-discretionary factors
Fuzzy model of vehicle delay to determine the level of service of two-lane roads
Remora optimization algorithm
A two-stage evolutionary strategy based MOEA/D to multi-objective problems
LDATA-Net: Dynamic feature adaptation for efficient feature learning in resource-limited UAV detection
Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics
A Kansei mining system for affective design
Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic
CSGAN: Cyclic-Synthesized Generative Adversarial Networks for image-to-image transformation
AGGNM Vis: Allosteric pocket prediction based on multidimensional feature comparison visual analysis
An intelligent adaptive system for the optimal variable selections of R&D and quality supply chains
A novel complex (p,q,r)- spherical fuzzy TOPSIS framework for sustainable urban development assessment
Multi-scale hypergraphs for trajectory imputation and prediction in real-world scenarios
The THOMAS architecture in Home Care scenarios: A case study
Identification of influential users in social network using gray wolf optimization algorithm
On-shelf utility mining with negative item values
Fault diagnosis of pneumatic systems with artificial neural network algorithms
Efficient aerodynamic design through evolutionary programming and support vector regression algorithms
A multi-module framework for enhanced day-ahead photovoltaic power forecasting considering input heterogeneity
LEAT: Towards robust deepfake disruption in real-world scenarios via Latent Ensemble Attack
Unsupervised domain adaptation without source data for visual classification via adaptive confidence-driven mechanism
Reducing preference elicitation in group decision making
Utilizing the evidential reasoning approach to determine a suitable wireless sensor network orientation for asset integrity monitoring of an offshore gas turbine driven generator
Synergistic mamba: Mastering global frequency and local spatial contexts for low-light image enhancement
Demonstrating a new evaluation method on ReLU based Neural Networks for classification problems
RCDD: Contrastive domain discrepancy with reliable steganalysis labeling for cover source mismatch
A novel multi-scale CNNs for false positive reduction in pulmonary nodule detection
Blind watermarking scheme for medical and non-medical images copyright protection using the QZ algorithm
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
A decision support system for the production control of a semiconductor packaging assembly line
Local energy-based shape histogram feature extraction technique for breast cancer diagnosis
Co-Insights framework for collaborative decision support and tacit knowledge transfer
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data
Multivariate forecasting of bitcoin volatility with gradient boosting: Deterministic, probabilistic, and feature importance perspectives
An adaptive hybrid differential evolution algorithm for dynamic economic dispatch with valve-point effects
Mining frequent itemsets over data streams using efficient window sliding techniques
Artificial recognition system for defective types of transformers by acoustic emission
Using Adaptive Chaotic Grey Wolf Optimization for the daily streamflow prediction
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2
Shop floor simulation optimization using machine learning to improve parallel metaheuristics
Mining ideas from textual information
Multi-label classification by exploiting label correlations
A defense method against backdoor attacks on neural networks
Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches
Advances in continual learning: A comprehensive review
Corrigendum to "Applications of evolutionary SVM to prediction of membrane alpha-helices" [Expert Systems with Applications 40 (9) (2013) 3412-3420]
An expert system for detection of breast cancer based on association rules and neural network
Image-text semantic learning for unsupervised cross-resolution person re-identification
DemoHash: Hashtag recommendation based on user demographic information
The study that applies artificial intelligence and logistic regression for assistance in differential diagnostic of pancreatic cancer
CC-GAIN: Clustering and classification-based generative adversarial imputation network for missing electricity consumption data imputation
Intelligent planner for control of failures analysis of unique mechanical systems
An expansion of fuzzy information granules through successive refinements of their information content and their use to system modeling
Graph sharpening
Mining frequent items from high-dimensional set-valued data under local differential privacy protection
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
Q-learning-based hyper-heuristic algorithm for priority and precedence dual-driven task assignment in spatial crowdsourcing
A novel technique for image steganography based on a high payload method and edge detection
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
I3D-AE-LSTM: Combining action representations using a 2-stream autoencoder for Action Quality Assessment
Input-oriented demonstration learning for hybrid evidence fact verification
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
An iterated local search heuristic for multi-capacity bin packing and machine reassignment problems
Biogeography-based optimization based on population competition strategy for solving the substation location problem
Scientometric analysis of ICT in vehicle route optimization: Practices and perspective
A new T-S fuzzy-modeling approach to identify a boiler-turbine system
Automated design of search algorithms: Learning on algorithmic components
Mining customer knowledge for direct selling and marketing
A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression
Semantic term weighting for clinical texts
Text FCG: Fusing Contextual Information via Graph Learning for text classification
Adopting a dendritic neural model for predicting stock price index movement
Sparse-structured time-varying parameter vector autoregression for high-dimensional network connectedness measurement
Applying moving back-propagation neural network and moving fuzzy neuron network to predict the requirement of critical spare parts
A novel PBL-McRBFN-RFE approach for identification of critical brain regions responsible for Parkinson's disease
ANODYNE: Mitigating backdoor attacks in federated learning
Post-pruning in regression tree induction: An integrated approach
Integration of deep adaptation transfer learning and online sequential extreme learning machine for cross-person and cross-position activity recognition
AutoTinyML for microcontrollers: Dealing with black-box deployability
The new energy vehicles selection using complex T-spherical fuzzy cloud and an improved recognition model through group online reviews
Time series for early churn detection: Using similarity based classification for dynamic networks
Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
TQM measurement model for the biotechnology industry in Taiwan
Current advances in imaging spectroscopy and its state-of-the-art applications
ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario
Automatic text classification to support systematic reviews in medicine
Dynamic payment on microtasking platforms using bee colony optimization
Prescribed-time formation tracking in multi-agent systems via reinforcement learning-based hybrid impulsive control with time delays
A data-driven framework for supporting the total productive maintenance strategy
M2YOLOF: Based on effective receptive fields and multiple-in-single-out encoder for object detection
Multi-Context enhanced Lane-Changing prediction using a heterogeneous Graph Neural Network
Bayesian reliability-based prediction of the soil water retention curve using finite data
Deep learning-based interpretable prediction and compensation method for improving pose accuracy of parallel robots
An unsupervised domain adaptation brain CT segmentation method across image modalities and diseases
An intelligent framework to manage robotic autonomous agents
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting
Optimization of the weights and asymmetric activation function family of neural network for time series forecasting
Application of a hybrid case-based reasoning approach in electroplating industry
A novel adaptive contextual information-based 2D-histogram for image thresholding
Prediction of peak particle vibration velocity based on intelligent optimization algorithm combined with XGBoost
Fuzzy inference systems and inventory allocation decisions: Exploring the impact of priority rules on total costs and service levels
Probability of default for lifetime credit loss for IFRS 9 using machine learning competing risks survival analysis models
Performance comparison of feature selection and extraction methods with random instance selection
The construction of fuzzy least squares estimators in fuzzy linear regression models
Hybrid residual dengue outbreak prediction network with optimal climatic parameter and its micro-level selection
A Glowworm Swarm Optimization algorithm for the Vehicle Routing Problem with Stochastic Demands
An evolutionary framework for designing adaptive convolutional neural network
Fuzzy parametric programming model for multi-objective integrated solid waste management under uncertainty
Boosted hunting-based fruit fly optimization and advances in real-world problems
Exploring source of the variety in organizational innovation adoption issues - An empirical study of managers' label on knowledge management project issues in Taiwan
Mamba - CNN collaborative learning for panoramic semantic segmentation via online knowledge distillation
Calculation of gamma-ray exposure buildup factor based on backpropagation neural network
Real-time air quality monitoring in Bull Trench Kiln-based Brick industry by calibrating sensor readings and utilizing the Serverless Computing
Improved gravitational search algorithm and novel power flow prediction network for multi-objective optimal active dispatching problems
Simulation based knowledge elicitation: Effect of visual representation and model parameters
ROUGE-SEM: Better evaluation of summarization using ROUGE combined with semantics
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model
Rank order-based recommendation approach for multiple featured products
Multi-start stochastic competitive Hopfield neural network for frequency assignment problem in satellite communications
A new DEA method for supplier selection in presence of both cardinal and ordinal data
Egocentric video summarisation via purpose-oriented frame scoring and selection
FMFI: Transformer based four branches multi-granularity feature integration for person Re-ID
Gather customer concerns from online product reviews - A text summarization approach
Performance optimization of integrated resilience engineering and lean production principles
Directional distance based cross-efficiency evaluation and decomposition for parallel two-stage systems: An application to equity funds
Combine clustering and frequent itemsets mining to enhance biomedical text summarization
Fast MRI reconstruction: A thorough survey from single-modal to multi-modal
Phase-based fine-grained change detection
A green production routing problem for medical nitrous oxide: Model and solution approach
DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net
An improved framework for multi-objective optimization of cementitious composites using Taguchi-TOPSIS approach
Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Explanatory dialogues with argumentative faculties over inconsistent knowledge bases
Predicting Vehicle Behavior Using Multi-task Ensemble Learning
Dynamic heterogeneous graph combined with reinforcement learning for solving job shop scheduling problem
MCCSeg: Morphological embedding causal constraint network for medical image segmentation
Tracking knowledge proficiency of students with calibrated Q-matrix
A data driven anonymization system for information rich online social network graphs
A new fuzzy logic based ranking function for efficient Information Retrieval system
Amended fused TOPSIS-VIKOR for classification (ATOVIC) applied to some UCI data sets
Deep learning framework for enhanced MRI analysis in healthcare diagnosis
A decoupled framework for low-light image enhancement
Multi-distribution mixture generative adversarial networks for fitting diverse data sets
An adaptive learning framework for event-based remote eye tracking
Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines
A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism
Hybrid optimization and discrete-event simulation model to reduce waiting times in a primary health center
Sharing decision-making in knee osteoarthritis using the AHP-FMCGP method
Oil and gas pipeline failure prediction system using long range ultrasonic transducers and Euclidean-Support Vector Machines classification approach
A fuzzy group analytical hierarchy process approach for software quality assurance management: Fuzzy logarithmic least squares method
Efficiency evaluation of two-stage parallel-series structures with fixed-sum outputs: An approach based on SMAA and DEA
Adding monotonicity to learning algorithms may impair their accuracy
Discovering fuzzy inter- and intra-object associations
EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method
A survey of deep learning-based intrusion detection in automotive applications
A novel multi-objective forest optimization algorithm for wrapper feature selection
Intelligent vehicle driving decision-making model based on variational AutoEncoder network and deep reinforcement learning
COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation
Crack segmentation and quantification in concrete structures using a lightweight YOLO model based on pruning and knowledge distillation
Progressive Adjacent-Layer coordination symmetric cascade network for semantic segmentation of Multimodal remote sensing images
Dynamic hybrid mechanism-based differential evolution algorithm and its application
FreqUNet: a lightweight dual-branch network with frequency-aware decomposition for retinal vessel segmentation
Evidential calibration process of multi-agent based system: An application to forensic entomology
An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks
Mind2Word: Towards generalized visual neural representations for high-quality video reconstruction
Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach
Cooperative interference to achieve interval many-objective evolutionary algorithm for association privacy secure computing migration
A selective ensemble based on expected probabilities for bankruptcy prediction
Categorical data clustering: What similarity measure to recommend?
A dual-stage large-scale multi-objective evolutionary algorithm with dynamic learning strategy
Robust FCM clustering algorithm with combined spatial constraint and membership matrix local information for brain MRI segmentation
Agent-oriented modeling and development of a person-following mobile robot
Integrating data mining with KJ method to classify bridge construction defects
Combining Support Vector Machines and simulated annealing for stereovision matching with fish eye lenses in forest environments
Research of multi-population agent genetic algorithm for feature selection
Facing the spammers: A very effective approach to avoid junk e-mails
Time series classification based on multi-feature dictionary representation and ensemble learning
Some induced correlated aggregating operators with intuitionistic fuzzy information and their application to multiple attribute group decision making
Parallel framework of a multi-graph convolutional network and gated recurrent unit for spatial-temporal metro passenger flow prediction
Explainable AI based slip prediction of steel-UHPC interface connected by shear studs
Reusing source diffusion model for domain perception: Towards few-shot image generation via fine-tuning
Application of neural networks as a non-linear modelling technique in food mycology
Causal mechanism in transport collaboration
Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions
Impact pathways of emerging ITs to mitigate supply chain vulnerability: A novel DEMATEL-ISM approach based on grounded theory
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
Forecasting shanghai composite index based on fuzzy time series and improved C-fuzzy decision trees
Estimation of conditional average treatment effects on distributed confidential data
Dynamic analysis of emergency evacuation in a rolling passenger ship using a two-layer social force model
Human-inspired spatiotemporal feature extraction and fusion network for weather forecasting
Modified artificial bee colony algorithm with differential evolution to enhance precision and convergence performance
High quality information extraction and query-oriented summarization for automatic query-reply in social network
Automatic identification and evaluation of Fibonacci retracements: Empirical evidence from three equity markets
A comparative analysis of two-stage distress prediction models
Optimizing Time-Series forecasting using stacked deep learning framework with enhanced adaptive moment estimation and error correction
An investigation of operating behavior characteristics of a wind power system using a fuzzy clustering method
Propagating spatio-temporal state and progressively associating trajectory for satellite video multi-object tracking
A fractal interpolation approach to improve neural network predictions for difficult time series data
N-GKLS: An NMPC problem generator and a test platform for NMPC solvers
Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization
Segmentation guided dual-branch classification for measuring fat infiltration in paraspinal muscles
Applications of deep learning in fish habitat monitoring: A tutorial and survey
Multi-task learning for unified aspect identification in text reviews
Maximizing failure occurrence in water distribution Systems: A Multi-Objective approach considering Reliability, Economic, and environmental aspects
A robust SVM-based approach with feature selection and outliers detection for classification problems
Scent classification by K nearest neighbors using ion-mobility spectrometry measurements
Multi-input hybrid face presentation attack detection method based on simplified Xception and channel attention mechanism
Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review
High payload steganography mechanism using hybrid edge detector
Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration
An efficient encoder-decoder network for the capacitated vehicle routing problem
On-demand e-supply chain integration: A multi-agent constraint-based approach