yusuke1997/dblp-id-title huggingface dataset:
Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times
Maximum correlation based mutual information scheme for intrusion detection in the data networks
A decision support system for cooperative transportation planning: Design, implementation, and performance assessment
Latent factor recommendation models for integrating explicit and implicit preferences in a multi-step decision-making process
Inference on historical factions based on multi-layered network of historical figures
Development of a Patent Retrieval and Analysis Platform - A hybrid approach
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
Comprehensive multi-view self-representations for clustering
ArchCam: Real time expert system for suspicious behaviour detection in ATM site
Web-based pattern learning for named entity translation in Korean-Chinese cross-language information retrieval
Dynamic identification of Staubli RX-60 robot using PSO and LS methods
Knowledge Graph Random Neural Networks for Recommender Systems
Feature generation using genetic programming with comparative partner selection for diabetes classification
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data
Enhanced sine cosine algorithm with crossover: A comparative study and empirical analysis
A hybrid recommender system for recommending smartphones to prospective customers
Automatic detection of epileptic seizure using dynamic fuzzy neural networks
Suitability of syllable-based modeling units for end-to-end speech recognition in Sanskrit and other Indian languages
MaSGAN: a malfunction sound detection model for industrial machines using the generative adversarial networks
Multi-instance genetic programming for web index recommendation
ANN-based residential water end-use demand forecasting model
Multi-criteria group consensus model with risk aversion and minimum adjustment
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization
Erratum to "Temperature prediction and TAIFEX forecasting based on high-order fuzzy logical relationships and genetic simulated annealing techniques" [Expert Systems with Applications 34 (1) (2008) 328-336]
Center Based Genetic Algorithm and its application to the stiffness equivalence of the aircraft wing
Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features
PASS-CCTV: Proactive Anomaly surveillance system for CCTV footage analysis in adverse environmental conditions
Monitoring of caliper sensor fouling in a board machine using self-organising maps
Using a Bayesian Belief Network to detect healthcare fraud
Fuzzy joint mutual information feature selection based on ideal vector
Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique
Shapley-Lorenz eXplainable Artificial Intelligence
Discrete Mayfly Algorithm for spherical asymmetric traveling salesman problem
MATER: Bi-level matching-aggregation model for time-aware expert recommendation
Supplier behavior modeling and winner determination using parallel MDP
Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution
Can competitive advantage be achieved through knowledge management? A case study on SMEs
Partial and cost-minimized computation offloading in hybrid edge and cloud systems
Privileged contextual information for context-aware recommender systems
DP-FishNet: Dual-path Pyramid Vision Transformer-based underwater fish detection network
Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services
Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks
Day-ahead multi-modal demand side management in microgrid via two-stage improved ring-topology particle swarm optimization
Modular design to support green life-cycle engineering
Multi-sentence video captioning using spatial saliency of video frames and content-oriented beam search algorithm
Classifier design with feature selection and feature extraction using layered genetic programming
Intelligent production control decision support system for flexible assembly lines
The design and implementation of an intelligent deployment system for RFID readers
An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks
Machine learning approach to predicting the hysteresis of water retention curves of porous media
Research on constructing and reasoning the collision knowledge graph of autonomous navigation ship based on enhanced BERT model
Seek for commonalities: Shared features extraction for multi-task reinforcement learning via adversarial training
Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia
Collaborative SVM classification in scale-free peer-to-peer networks
Hospital performance: Efficiency or quality? Can we have both with IT?
A novel real time video tracking framework using adaptive discrete swarm optimization
Towards generalizable and robust image tampering localization with multi-task learning and contrastive learning
HSGS: A hybrid of harmony search algorithm and golden section for data clustering
Decision-making for financial trading: A fusion approach of machine learning and portfolio selection
Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions
CLE_LMNN: A novel framework of LMNN based on clustering labeled examples
Genetic optimization of GRNN for pattern recognition without feature extraction
A decision-making framework by large language model for green tide salvage ship scheduling
3D voxel reconstruction from single-view image based on cross-domain feature fusion
Personalized Learning Course Planner with E-learning DSS using user profile
Dysphagia diagnosis system with integrated speech analysis from throat vibration
On the performance of phonetic algorithms in microtext normalization
Emotion space model for classifying opinions in stock message board
A 3D existing railway alignment recreation method based on particle swarm optimization and Mesh Adaptive direct search
Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks
A multi-objective partitioning algorithm for large-scale graph based on NSGA-II
Search clicks analysis for discovering temporally anchored questions in community Question Answering
Matrix representation in pattern classification
Process knowledge based multi-class support vector classification (PK-MSVM) approach for surface defects in hot rolling
Cross-modal multitask learning for automated quantitative characterization of infrastructure airhole defects
A simulated annealing-based recommender system for solving the tourist trip design problem
Document-level relation extraction using context-aware entity representation
Novel extended NI-MWMOTE-based fault diagnosis method for data-limited and noise-imbalanced scenarios
Effective algorithms for single-machine learning-effect scheduling to minimize completion-time-based criteria with release dates
Investigation of the application of KMS for diseases classifications: A study in a Taiwanese hospital
A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain
Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
A fuzzy cognitive map approach to support urban design
Identification of critical nodes by fusing propagation probabilities and entropy in binary networks
Symbolic model checking composite Web services using operational and control behaviors
Collaborative activities for matching supply and demand in the platelet network
Predicting m-commerce adoption determinants: A neural network approach
A novel elite-preserving iterated greedy algorithm with Q-learning for cascaded flowshop joint scheduling problem
Addressing lot sizing and warehousing scheduling problem in manufacturing environment
Heap-based optimizer based on three new updating strategies
Exploring cluster-dependent isomorphism in multi-objective evolutionary optimization
On the development of the web service quality modelling space
Intelligent switching expert system for delayed coking unit based on iterative learning strategy
Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization
Sustainable brand logo selection using an AI-Supported PF-WENSLO-ARLON hybrid method
Open set maize seed variety classification using hyperspectral imaging coupled with a dual deep SVDD-based incremental learning framework
A Systematic Literature Review of Reinforcement Learning-based Knowledge Graph Research
Few-shot image classification based on gradual machine learning
Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
Decision-aided evaluation of paths for routing on multi-attribute computer network consisting of encoded paths under uncertainty
Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing
Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data
Sensor placement determination for range-difference positioning using evolutionary multi-objective optimization
Expert enhanced dynamic time warping based anomaly detection
Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods
A robust ant colony optimization for continuous functions
Real-time motion state estimation of feature points based on optical flow field for robust monocular visual-inertial odometry in dynamic scenes
Modelling and constructing membership function for uncertain portfolio parameters: A credibilistic framework
Representation for action recognition with motion vector termed as: SDQIO
Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network
Cross-scale content adaptive network for three-dimensional multi-object tracking and fish activity quantification
Note on "Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction"
A study on exit and entry mechanism and evolution of relationships between decision makers for multistage large-scale group decision-making problems
Shifting from physical models to learning methods for trajectory prediction: A review
A semi-supervised framework fusing multiple information for knowledge graph entity alignment
A data fusion framework with novel hybrid algorithm for multi-agent Decision Support System for Forest Fire
Mining customer knowledge for electronic catalog marketing
Coordinate Attention Guided Dual-Teacher Adaptive Knowledge Distillation for image classification
Differentially private and utility-aware publication of trajectory data
Planning of the GSM network broadcast control channel with data fusion
An application of neural networks in microeconomics: Input-output mapping in a power generation subsector of the US electricity industry
Identifying financially successful start-up profiles with data mining
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA
CrysFormer++: Dual-phase refinement learning for transparent object depth estimation
A multiscale algorithm for nuclei extraction in pap smear images
MACs: Mining API code snippets for code reuse
Distributed aggregation-based attributed graph summarization for summary-based approximate attributed graph queries
Combined myocardial motion and texture characterisation methods for the phenotyping of scarred myocardium
OntoPipeliner: An ontology-based automatic semantic service pipeline generator
Grid-based artificial bee colony algorithm for multi-objective job shop scheduling with manual loading and unloading tasks
A Petri Nets based functional validation for services composition
A novel non-Lyapunov approach through artificial bee colony algorithm for detecting unstable periodic orbits with high orders
An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation
Recommendations with minimum exposure guarantees: A post-processing framework
Weighted consensus clustering and its application to Big data
Vague set theory based segmented image fusion technique for analysis of anatomical and functional images
Identification of Mild cognitive impairment based on quadruple GCN model constructed with multiple features from higher-order brain connectivity
A partitioning Monte Carlo approach for consensus tasks in crowdsourcing
Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction
A blind watermarking method using maximum wavelet coefficient quantization
Extending speech emotion recognition systems to non-prototypical emotions using mixed-emotion model
NG-RED:Nonconvex group-matrix residual denoising learning for image restoration
Portfolio model for analyzing human resources: An approach based on neuro-fuzzy modeling and the simulated annealing algorithm
A RFID-based Resource Allocation System for garment manufacturing
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network
Ontological semantic inference based on cognitive map
Effective features to classify skin lesions in dermoscopic images
Hyperspectral pathology image classification using dimension-driven multi-path attention residual network
Node influence-based label propagation for community detection using both topology and attributes
Mining the co-movement between foreign exchange rates and category stock indexes in the Taiwan financial capital market
Web service framework to identify multiple pollutions in potential contaminated sites
A comparison between metaheuristics for solving a capacitated fixed charge transportation problem with multiple objectives
LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model
Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels
An expert system for strategic control of accidents and insurers' risks in building construction projects
Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port
Enabling knowledge discovery through low utility itemset mining
Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic programming methods
Estimation of thermophysical properties of dimethyl ether as a commercial refrigerant based on artificial neural networks
Artificial immune system for parameter estimation of induction motor
Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks
The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation
Creating a general collaborative dialogue agent with lounge strategy feature
Generating touring path suggestions using time-interval sequential pattern mining
GSRNet, an adversarial training-based deep framework with multi-scale CNN and BiGRU for predicting genomic signals and regions
Power system state estimation based on graph contrastive learning
Uncertainty-guided Siamese Transformer Network for salient object detection
Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
A novel application of neural networks for instant iron-ore grade estimation
Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks
A swarm optimization-based search algorithm for the quadratic knapsack problem with conflict Graphs
Not always simple classification: Learning SuperParent for class probability estimation
Deep predictions and transfer learning for simulation-driven structural health monitoring based on guided waves
GAN-based adaptive cost learning for enhanced image steganography security
Enhancing terminal user peak trends forecasting with Activity Factor (AF) and Grey Wolf Fusion with Flexible Parameters (GWFFP)
Constraint guided search for aircraft sequencing
Semantic parsing with candidate expressions for knowledge base question answering
SM-HK: Sentiment-aware model fusing heterogeneous knowledge for depression risk detection on social media
A new clustering method based on morphological operations
Prioritization of health distributed ledger technology use cases using fuzzy sine trigonometric based decision-making model
FedLBW: A loss-based weighting strategy for federated learning on non-IID data in wireless networks
Analysis and experimental evaluation of the Needleman-Wunsch algorithm for trajectory comparison
Automating discussion structure re-organization for GitHub issues
Hybrid graph-based radiology report generation
Antipodal-points-aware dual-decoding network for robotic visual grasp detection oriented to multi-object clutter scenes
Continuous learning approach to synergize shimmering image enhancement and de-fogging with small sample
A text style transfer system for reducing the physician-patient expertise gap: An analysis with automatic and human evaluations
A column generation-based algorithm for gate assignment problem with combinational gates
Skyline operators in multi-criteria decision making: A review of characterization, comparison, and perspectives
Identifying the influential contributing factors to micro-enterprises' workplace accidents using a hybrid D-DEMATEL-IFISM method
Dynamic event-driven composite optimal impedance control for lower limb exoskeletons using finite-time reinforcement learning
EJRSNet: A joint mechanism network for object detection with efficient receiving and sending of hierarchical feature information
A contingent approach on knowledge portal design for R&D teams: Relative importance of knowledge portal functionalities
Input/output deterioration in production processes
Enhanced mass Jensen-Shannon divergence for information fusion
Intelligent system applications in electronic tourism
A dynamic cooperative lane-changing model for connected and autonomous vehicles with possible accelerations of a preceding vehicle
An efficient hybrid self-learning method for stochastic cellular manufacturing problem: A queuing-based analysis
The impact of AI livestream spillover effects of non-deceptive counterfeits on blockchain anti-counterfeiting
Contextual features online prediction for self-supervised graph representation
A multiobjective DEA approach to ranking alternatives
BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks
Powder particle classification with scanning electron microscopy images using machine learning techniques
Computer-aided diagnosis system for predicting liver cancer disease using modified Genghis Khan Shark Optimizer algorithm
A comparative study on the trends of entrepreneurial behaviors of enterprises in different strategies: Application of the social cognition theory
Spatio-contextual Gaussian mixture model for local change detection in underwater video
Evaluation of knowledge management tools using AHP
Turbo-IRL: Enhancing multi-agent systems using turbo decoding-inspired deep maximum entropy inverse reinforcement learning
Hexagon Based Compressed Diamond Algorithm for motion estimation and its dedicated VLSI system for HD videos
Early churn prediction with personalized targeting in mobile social games
Long-tailed classification based on dynamic class average loss
Trusted commonsense knowledge enhanced depression detection based on three-way decision
Quantitative cross impact analysis with latent semantic indexing
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
Integrated energy short-term multivariate load forecasting based on PatchTST secondary decoupling reconstruction for progressive layered extraction multi-task learning network
An intelligent questionnaire analysis expert system
CR-GAC: Cross-modal Recombination via Graph-Attention Collaborative Optimization for multimodal sentiment analysis
Personnel scheduling problem for ready-mixed concrete delivery
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging
Sparse-driven auxiliary mask regulation and hierarchical action selection for large-scale multi-objective optimization
Exploiting inter-frame regional correlation for efficient action recognition
A transfer learning based patent transfer prediction model: Discussion about the condition of China and U.S
A study on time series pattern extraction and processing for competitive intelligence support
An interpretable multi-scaled agent hierarchy for time series prediction
Joint economic lot sizing shipment policy in multi-level integrated network supply chains of bottleneck material
Knowledge-enhanced meta-transfer learning for few-shot ECG signal classification
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
The upper and lower bound evaluation based on the quantile efficiency in stochastic data envelopment analysis
Evaluating and predicting green economic efficiency in Chinese cities: A three-stage network SBM and machine learning approach
MRDN: A lightweight Multi-stage residual distillation network for image Super-Resolution
Evolutionary algorithm for stochastic job shop scheduling with random processing time
Feature evaluation for web crawler detection with data mining techniques
Asynchronism-based principal component analysis for time series data mining
An effective tree structure for mining high utility itemsets
Exploring large language models for the generation of synthetic training samples for aspect-based sentiment analysis in low resource settings
Multi-teacher knowledge distillation for debiasing recommendation with uniform data
Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition
EIKA: Explicit & Implicit Knowledge-Augmented Network for entity-aware sports video captioning
A hybrid adaptive large neighborhood search algorithm for the large-scale heterogeneous container loading problem
A new portfolio selection problem in bubble condition under uncertainty: Application of Z-number theory and fuzzy neural network
NSGA-II with objective-specific variation operators for multiobjective vehicle routing problem with time windows
Bayesian optimization of stacking ensemble learning model for HPC compressive strength prediction
A hybrid volatility forecasting framework integrating GARCH, artificial neural network, technical analysis and principal components analysis
Asymmetric demand oriented train service design with skip-stop tactics for a metro line
Evaluating and forecasting banking crises through neural network models: An application for Turkish banking sector
Application of fuzzy sets to manufacturing/distribution planning decisions with multi-product and multi-time period in supply chains
Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
New artificial life model for image enhancement
Disentangled adaptive fusion transformer using adversarial perturbation for egocentric action anticipation
Development and application of evaporation rate water cycle algorithm for optimal coordination of directional overcurrent relays
LACO: A location-aware cooperative query system for securely personalized services