yusuke1997/dblp-id-title huggingface dataset:
A remote sensing ship recognition method based on dynamic probability generative model
Large language models are contrastive reasoners
Detecting ditches using supervised learning on high-resolution digital elevation models
The City Trip Planner: An expert system for tourists
Interactive dynamic trust network for consensus reaching in social network analysis based large-scale decision making
Automatic Web service composition based on Horn clauses and Petri nets
Assesing the influence of environmental variables on the performance of water companies: An efficiency analysis tree approach
Robust Kinect-based guidance and positioning of a multidirectional robot by Log-ab recognition
Succeeding metadata based annotation scheme and visual tips for the automatic assessment of video aesthetic quality in car commercials
Empowering citizen scientists: A web app for plastic litter classification
An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization
A new computational intelligence technique based on human group formation
Prior semantic-embedding representation learning for on-the-fly FG-SBIR
Structural correlation between communities and core-periphery structures in social networks: Evidence from Twitter data
Learning from biased crowdsourced labeling with deep clustering
The forecast of power consumption and freshwater generation in a solar-assisted seawater greenhouse system using a multi-layer perceptron neural network
Adaptive neuro-fuzzy system for quantitative evaluation of woven fabrics' pilling resistance
Visualizing high-dimensional industrial process based on deep reinforced discriminant features and a stacked supervised t-distributed stochastic neighbor embedding network
Pedestrian and vehicle behaviour prediction in autonomous vehicle system - A review
Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers
Ontology based knowledge extraction for shipyard fabrication workshop reports
Semantic Relatedness Enhanced Graph Network for aspect category sentiment analysis
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions
An adaptive decision mechanism for WSNs: Integrating deep reinforcement learning routing with CNN-BiLSTM compression guided by enhanced slime mold algorithm
Deep recurrent modelling of Granger causality with latent confounding
Improving community detection algorithms in directed graphs with fuzzy measures. An application to mobility networks
TFSM: A network for time-frequency synergistic modeling integrating Mamba temporal pathway and spectral features for electricity theft detection
Flood disaster loss comprehensive evaluation model based on optimization support vector machine
A hunger-based scheduling strategy for distributed crawler
Summarization, simplification, and generation: The case of patents
A cluster centers initialization method for clustering categorical data
Knowledge level modeling for systemic risk management in financial institutions
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm
Prediction of iron ore inventory at ports: A decomposition-integration hybrid approach incorporating key influencing factors
Environmental impact assessment based on D numbers
Exploring the diversity in cluster ensemble generation: Random sampling and random projection
Predicting stock market crisis via market indicators and mixed frequency investor sentiments
Dual recurrent neural networks using partial linear dependence for multivariate time series
Targeted evidence collection for uncertain supplier selection
An algorithm of determining T-spline classification
Packaging process optimization for multihead weighing machines with vertical and diagonal double-layered systems: A bi-level approach
Work like a doctor: Unifying scan localizer and dynamic generator for automated computed tomography report generation
Modeling children's mathematical gift by neural networks and logistic regression
Fault diagnosis of power transformer based on support vector machine with genetic algorithm
Reliability estimation using a genetic algorithm-based artificial neural network: An application to a load-haul-dump machine
SHyFTOO, an object-oriented Monte Carlo simulation library for the modeling of Stochastic Hybrid Fault Tree Automaton
LT4Rec: Long-tail contrastive learning for knowledge-enhanced recommendation
The combination of dependence-based interval-valued evidential reasoning approach with balanced scorecard for performance assessment
Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming
A hybrid feature selection scheme for unsupervised learning and its application in bearing fault diagnosis
A knowledge-data-structure hybrid-driven multi-characteristic fusion weighting model - Application of coal and gas outburst risk assessment
Solving many-objective delivery and pickup vehicle routing problem with time windows with a constrained evolutionary optimization algorithm
Self-supervised Dynamic Graph Embedding with evolutionary neighborhood and community
Pathfinding in hierarchical representation of large realistic virtual terrains for simulation systems
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
LoopNet for fine-grained fashion attributes editing
Individual neighbor aware sentiment prediction approach based on irregular time series
An empirical evaluation of imbalanced data strategies from a practitioner's point of view
Solar photovoltaic Maximum Power Point Tracking controller optimization using Grey Wolf Optimizer: A performance comparison between bio-inspired and traditional algorithms
Correction of non-anechoic antenna measurements using matrix pencil algorithm with adaptively adjusted setup
Pickup and delivery problem using metaheuristics techniques
Advisory system for the diagnosis of lost electric output in nuclear power plants
A new approach for function approximation in boiler combustion optimization based on modified structural AOSVR
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs
Detecting financial restatements using data mining techniques
Recent trends in multicue based visual tracking: A review
ILAMP: Improved text extraction from gradients in federated learning using language model priors and sequence beam search
Estimating confidence intervals for structural differences between contrast groups with missing data
Composite label diffusion enhanced cross domain data synthesis for matching siamese network-based diesel engine fault diagnosis under varying conditions
A novel visually meaningful image encryption algorithm based on parallel compressive sensing and adaptive embedding
Direct hand touchable interactions in augmented reality environments for natural and intuitive user experiences
Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model
Emotion recognition based on time-scale heterogeneity and hierarchical spatial coupling analysis of multimodal physiological signals
An eye detection method robust to eyeglasses for mobile iris recognition
Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods
Synchronization sampled-data control of uncertain neural networks under an asymmetric Lyapunov-Krasovskii functional method
A maximal accuracy and minimal difference criterion for multiple kernel learning
λ-FAdaMax: A novel fractional-order gradient descent method with decaying second moment for neural network training
A biogeography-based optimization algorithm with modified migration operator for large-scale distributed scheduling with transportation time
PARKA: Path-aware knowledge retrieval and structural-semantic knowledge adaptation for knowledge-based question answering
Real-time human pose estimation on a smart walker using convolutional neural networks
A method based on preference degrees for handling hybrid multiple attribute decision making problems
A generic methodology for the statistically uniform & comparable evaluation of Automated Trading Platform components
Automatic sitemaps generation: Exploring website structures using block extraction and hyperlink analysis
Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm
DoME: A deterministic technique for equation development and Symbolic Regression
A long-term fleet renewal problem under uncertainty: A simulation-based optimization approach
Identifying content unaware features influencing popularity of videos on YouTube: A study based on seven regions
Complex reactive event processing for assisted living: The Habitat project case study
Development of a hybrid methodology for dimensionality reduction in Mahalanobis-Taguchi system using Mahalanobis distance and binary particle swarm optimization
Avg-topk: A new pooling method for convolutional neural networks
Individual behaviors, social learning, and swarm intelligence: Real case and counterfactuals
Machine learning and cointegration for structural health monitoring of a model under environmental effects
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients
Exploring airport traffic capability using Petri net based model
Developing a Twitter-based traffic event detection model using deep learning architectures
An End-to-End framework for extracting observable cues of depression from diary recordings
Cross-lingual learning for text processing: A survey
Multi-attention mutual information distributed framework for few-shot learning
Strategic decisions in an imperfect quality and inspection scenario under two-stage credit financing with order overlapping approach
Assessing critical success factors for military decision support
Semi-supervised semantic segmentation with multi-reliability and multi-level feature augmentation
An integrated approach for structural damage identification using wavelet neuro-fuzzy model
Using various pre-trained models for audio feature extraction in automated audio captioning
Explanation-based learning with analogy for impasse resolution
Multidimensional credibility model for neighbor selection in collaborative recommendation
A Bayesian network based framework for ripple effect analysis in cross-tier shipbuilding supply chains
ITUFP: A fast method for interactive mining of Top- K frequent patterns from uncertain data
A common weights multiplicative aggregation approach for composite indicators: the case of Global City Competitiveness Index
Forecasting the number of outpatient visits using a new fuzzy time series based on weighted-transitional matrix
Online behavior change detection in computer games
An improved solution to replenishment lot size problem with discontinuous issuing policy and rework, and the multi-delivery policy into economic production lot size problem with partial rework
Research on injection molded defects detection algorithm based on physics-guided regularization constraints
DBTSR: A U-shaped adaptive sparse transformer for single remote sensing image super-resolution
Dimension-feature-guided adaptive differential evolution algorithm
Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data
Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
A novel system for the classification of zinc-plated components by benchmarking deep neural networks
Corrigendum to "Induction and pruning of classification rules for prediction of microseismic hazards in coal mines" [Experts Systems with Applications 38 (6) (2011) 6748-6758]
Preference learning based multiobjective particle swarm optimization for lot streaming in hybrid flowshop scheduling with flexible assembly and time windows
Fast mining erasable itemsets using NC_sets
Hybrid random projection technique for enhanced representation in high-dimensional data
DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data
Advanced probabilistic approach for network intrusion forecasting and detection
Exploiting open data for CO2 estimation via artificial intelligence and eXplainable AI
A low-cost temporal-spatial calibration method for radar and camera systems
A survey on location and motion tracking technologies, methodologies and applications in precision sports
Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra
Dual-attention fusion point cloud completion with Spatially Aware Clustering
Deep Durrmeyer neural network interpolation: A multilayer kernel-based framework for function approximation and functional connectivity
A real-time warehouse operations planning system for small batch replenishment problems in production environment
A Hybrid R-FTCNN based on principal component analysis for retinal disease detection from OCT images
Regression trees for multivalued numerical response variables
EdgeFireSmoke++: A novel lightweight algorithm for real-time forest fire detection and visualization using internet of things-human machine interface
Generative learning-based lightweight MRI brain tumor segmentation with missing modalities
DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset
A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis
Application of the feature-detection rule to the Negative Selection Algorithm
Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations
Using support vector machine with a hybrid feature selection method to the stock trend prediction
Feature subset selection wrapper based on mutual information and rough sets
Discrete Hopfield network combined with estimation of distribution for unconstrained binary quadratic programming problem
TiFLCS-MARP: Client selection and model pricing for federated learning in data markets
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Modelling and analysis of temporal preference drifts using a component-based factorised latent approach
Boosting incremental intrusion detection system with adversarial samples
Safe deep reinforcement learning for flow control within the Internet of Vehicles
Complementary information-guided interactive fusion network for HSI and LiDAR data joint classification
Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling
Fast mining frequent itemsets using Nodesets
Performance analysis of colour descriptors for parquet sorting
Scale and cost efficiency analysis of networks of processes
A hybrid GA-ANFIS and F -Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process
QuAd-caching management model for heterogeneous data lake environments
Bacterial Memetic Algorithms for Order Picking Routing Problem with Loading Constraints
Selecting risk response strategies to minimize human errors in a design project for factories of the future
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm
Boosted sooty tern optimization algorithm for global optimization and feature selection
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation
Using homogeneous groupings in portfolio management
Analyzing the performance improvement of hierarchical binary classifiers using ACO through Monte Carlo simulation and multiclass engine vibration data
ReEx: An integrated architecture for preference model representation and explanation
A dominance-based rough set approach to Kansei Engineering in product development
What makes expert systems survive over 10 years - empirical evaluation of several engineering applications
MIRE: A medical information enhanced framework for long-tail medical dialogue synthesis
A novel chaotic map application in image encryption algorithm
Wind power forecasting through dynamic feature transfer learning and hierarchical information Interactive Network
Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis
Observational data-driven modeling and optimization of manufacturing processes
Throughput efficiency in body sensor networks: A clean-slate approach
An efficient ensemble method for detecting spinal curvature type using deep transfer learning and soft voting classifier
CASESIAN: A knowledge-based system using statistical and experiential perspectives for improving the knowledge sharing in the medical prescription process
A novel multi-source TWD model based on multi-granularity ball for multiple decision makers
A semantic-based approach to content abstraction and annotation for content management
Federal parameter-efficient fine-tuning for speech emotion recognition
Overcoming service innovation bottlenecks using Web 2.0
Simulated annealing with adaptive neighborhood: A case study in off-line robot path planning
A multitasking multi-objective differential evolution gene selection algorithm enhanced with new elite and guidance strategies for tumor identification
Reliable route planning and time savings in real-world urban intermodal transportation networks: Evidence from Hamburg, Germany
An intelligent human-expert forum system based on fuzzy information retrieval technique
Mining sentiments in SMS texts for teaching evaluation
Design and improvement of product using intelligent function model based cost estimating
A bio-statistical mining approach for classifying multivariate clinical time series data observed at irregular intervals
A novel semantic web browser for user centric information retrieval: PERSON
Determining the adaptive decision zone of discrete lot sizing model with changes of total cost
A fuzzy system for evaluating students' learning achievement
An IDE-based nonlinear grey Bernoulli model and applications to daily traffic flow pattern identification
Capability and efficiency of intellectual capital: The case of fabless companies in Taiwan
Improving fairness of abusive language detection with multi-attribute adversarial latent discriminator
ADEMO/D: An adaptive differential evolution for protein structure prediction problem
Mirroring quasi-symmetric organ observations for reducing problem complexity
Efficient and lightweight layer-wise in-situ defect detection in laser powder bed fusion via knowledge distillation and structural re-parameterization
A neural network approach for solving mathematical programs with equilibrium constraints
Corrigendum to: "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making" [Expert Syst. Appl. 83 (2017) 131-144]
The multi-depot general share-a-ride problem
A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets: A comparative perspective
STAD-GCN: Spatial-Temporal Attention-based Dynamic Graph Convolutional Network for retail market price prediction
Hyper real-time flame detection: Dynamic insights from event cameras and FlaDE dataset
F-CAPSO: Fuzzy chaos adaptive particle swarm optimization for energy-efficient and secure data transmission in MANET
Learning with continuous piecewise linear decision trees
Opposition and dimensional based modified firefly algorithm
CycleMLP++: An efficient and flexible modeling framework for subsonic airfoils
An approach to competitive product line design using conjoint data
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning
On equilibrium performance assurance with costly monitoring
Hierarchical distributed model predictive control based on fuzzy negotiation
A product network analysis for extending the market basket analysis
Joint modeling of users, questions and answers for answer selection in CQA
Data science for job market analysis: A survey on applications and techniques
Neural network Reinforcement Learning for visual control of robot manipulators
An efficient Expert System - WPSC and implementation
Multi-condition operational optimization with adaptive knowledge transfer for municipal solid waste incineration process
Fall-risk screening system framework for physiotherapy care of elderly
Sequence to sequence hybrid Bi-LSTM model for traffic speed prediction
TAC-DASR: Temporal-aggregated Conformer with data augmentation for dysarthric automatic speech recognition
Optimizing prices in trade-in strategies for vehicle retailers
Anomaly-GAN: A data augmentation method for train surface anomaly detection
A data mining approach to product assortment and shelf space allocation
A fair consensus model in blockchain based on computational reputation
Contrastive multi-interest graph attention network for knowledge-aware recommendation
Contrastive meta-reinforcement learning for heterogeneous graph neural architecture search
Eucalyptus diameter and volume prediction with deep neural networks: A Long Short-Term Memory model approach
Ontology technology to assist learners' navigation in the concept map learning system
Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud
Binary classification of imbalanced datasets: The case of CoIL challenge 2000
Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system
Cross-modality domain adaptation for mechanical anomaly detection: A von mises-fisher VAE with enhanced interpretability
A Neighborhood Undersampling Stacked Ensemble (NUS-SE) in imbalanced classification
Ensemble of supervised and unsupervised deep neural networks for stock price manipulation detection
The best of two worlds: Forecasting high frequency volatility for cryptocurrencies and traditional currencies with Support Vector Regression
Comparison of the decision tree, artificial neural network, and linear regression methods based on the number and types of independent variables and sample size
The development of an ontology-based expert system for corporate financial rating
SABA: Scale-adaptive Attention and Boundary Aware Network for real-time semantic segmentation
Redundancy allocation problem of a Multi-State system with Binary-State continuous performance level components
A spherical fuzzy-based DIBR II-AROMAN model for sustainability performance benchmarking of wind energy power plants
A new approach for epileptic seizure detection using adaptive neural network
MLR-WM-ViT: Global high-performance classification of mixed-type wafer map defect using a multi-level relay Vision Transformer
Long-term abnormal gait recovery for gait recognition
A co-evolutionary migrating birds optimization algorithm based on online learning policy gradient
Dominant Feature Identification for Industrial Fault Detection and Isolation Applications
GRASP and tabu search for the generalized dispersion problem
A background subtraction algorithm for detecting and tracking vehicles
Applying neural network analysis on heart rate variability data to assess driver fatigue
Ubiquitous Healthcare Service System with Context-awareness Capability: Design and Implementation
Comparative analysis of MCDM for energy efficiency projects evaluation towards sustainable industrial energy management: Case study of a petrochemical complex
Automatic recognition of industrial tools using artificial intelligence approach
A hybrid framework based on knowledge distillation for explainable disease diagnosis
Expert systems in land-use planning: An overview
A dynamic interactive consensus deviation correction system driven by hybrid intelligence and its application to NEV policies