yusuke1997/dblp-id-title huggingface dataset:
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Efficient strategies for incremental mining of frequent closed itemsets over data streams
Neural networks as a tool for developing and validating business heuristics
Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness
Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder - DeepBreath
LsRec: Large-scale social recommendation with online update
Software operating system supplier encroachment strategy considering compatibility differences in the smart connected products supply chain
Accelerating neural architecture search for LSTM with a training-free method based on swarm intelligence and Neural Tangent Kernel
The open banking era: An optimal model for the emergency fund
Shannon's entropy for combining the efficiency results of different DEA models: Method and application
A comprehensive analysis of static word embeddings for Turkish
SPA: Self-Peripheral-Attention for central-peripheral interactions in endoscopic image classification and segmentation
A distance-based fuzzy time series model for exchange rates forecasting
Residual Gabor convolutional network and FV-Mix exponential level data augmentation strategy for finger vein recognition
Mathematical modeling and optimization of multi-period fourth-party logistics network design problems with customer satisfaction-sensitive demand
Unsupervised machine learning approach for building composite indicators with fuzzy metrics
Shades of green: A psychographic segmentation of the green consumer in Kuwait using self-organizing maps
An improved genetic-fuzzy system for classification and data analysis
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
Constructing credit auditing and control & management model with data mining technique
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation
Deep learning approach for single-phase ground fault section location via feature fusion in resonant distribution networks
Class-aware progressive self-training for learning convolutional networks on graphs
Granular fuzzy PID controller
Aggregate interactive learning for RGB-D salient object detection
Recommendation of TV programs via information filtering in RCA tripartite networks
Convolutional gated recurrent unit-driven multidimensional dynamic graph neural network for subject-independent emotion recognition
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series
Collaborative community-specific microblog sentiment analysis via multi-task learning
Specification-guided behavior tree synthesis and execution for coordination of autonomous systems
Representation learning via serial robust autoencoder for domain adaptation
Automated prompt engineering pipelines: fine-tuning LLMs for enhanced response accuracy
Development of a decision support system for air-cargo pallets loading problem: A case study
IFS-IBA similarity measure in machine learning algorithms
Guided and knowledgeable multi-agent debate for fact verification
Incremental Q-learning strategy for adaptive PID control of mobile robots
Power quality disturbances classification using the 3-D space representation and PCA based neuro-fuzzy approach
Financial ratio selection for business crisis prediction
Wright-Fisher multi-strategy trust evolution model with white noise for Internetware
Event driven causal knowledge graphs for bottleneck root cause analysis in manufacturing systems
Enhance discovery and retrieval of geospatial data using SOA and Semantic Web technologies
Attention-guided multi-granularity fusion model for video summarization
Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network
Feature selection for face recognition based on multi-objective evolutionary wrappers
Boosting and measuring the performance of ensembles for a successful database marketing
Using novel particle swarm optimization scheme to solve resource-constrained scheduling problem in PSPLIB
A new approach in DNA sequence compression: Fast DNA sequence compression using parallel chaos game representation
Building feedforward neural networks with random weights for large scale datasets
INT 3 -Horus framework for multispectrum activity interpretation in intelligent environments
Detecting LTR structures in human genomic sequences using profile hidden Markov models
Non-linear Activated Beetle Antennae Search: A novel technique for non-convex tax-aware portfolio optimization problem
An approach based on ANFIS input selection and modeling for supplier selection problem
Shahmukhi named entity recognition by using contextualized word embeddings
Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation
Tourism sentiment quadruple extraction via new neural ordinary differential equation networks with multitask learning and implicit sentiment enhancement
A novel post-processing approach for improving minimum nonlinearity in S-boxes: A case study based on 2D hyper chaotic Schaffer transformation map
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start
An adaptive dual-level reinforcement learning approach for optimal trade execution
A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks
Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection
Personalized long-term ECG classification: A systematic approach
Automated, rapid classification of signals using locally linear embedding
A consensus support model based on linguistic information for the initial-self assessment of the EFQM in health care organizations
Classification of potential fire outbreaks: A fuzzy modeling approach based on thermal images
Online feature importance ranking based on sensitivity analysis
Artificial neural network based approach for dynamic parameter design
Comparison of microaggregation approaches on anonymized data quality
A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm
Temporal knowledge graph extrapolation with subgraph information bottleneck
Assessing information diffusion models for influence maximization in signed social networks
Discovering competitive intelligence by mining changes in patent trends
A novel, rule-based technical pattern identification mechanism: Identifying and evaluating saucers and resistant levels in the US stock market
A decomposition-based two-stage online scheduling approach and its integrated system in the hybrid flow shop of steel industry
Keyword spotting in doctor's handwriting on medical prescriptions
Human centric VR system development supporting fire emergency evacuation: A novel knowledge-data dual driven approach
End-to-end deep speaker embedding learning using multi-scale attentional fusion and graph neural networks
A comparative study of artificial neural networks, and decision trees for digital game content stocks price prediction
Neural attentive influence maximization model in social networks via reverse influence sampling on historical behavior sequences
Towards robust neural networks: Exploring counterfactual causality-based repair
Theoretical analysis and computer simulations of a fractional order bank data model incorporating two unequal time delays
Project teaming: Knowledge-intensive design for composing team members
Kernel-based Monte Carlo simulation for American option pricing
A test vector selection method based on machine learning for efficient presilicon verification
An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides
The centroid or consensus of a set of objects with qualitative attributes
Hybrid model for rainfall prediction with statistical and technical indicator feature set
A three-phase method for spherical fuzzy environment and application to community epidemic prevention management
Event-triggered-based output-feedback control for uncertain nonlinear discrete-time systems: a reinforcement learning method
Serial combination of multiple classifiers for automatic blue whale calls recognition
General machine learning models for interpreting and predicting efficiency degradation in organic solar cells
Comparison procedure of predicting the time to default in behavioural scoring
A new method for load balancing in DSDN-Based data centers using adaptive clustering and normal Cone-Based estimation approaches
Impact of carbon emission policy combinations on the optimal production-inventory decisions for deteriorating items
Data-driven robust optimization for a multi-trip truck-drone routing problem
Reinforcement learning to maximize wind turbine energy generation
A theoretical review on multiplex influence maximization models: Theories, methods, challenges, and future directions
DDoS attack detection method using cluster analysis
A novel CODAS approach based on Heronian Minkowski distance operator for T-spherical fuzzy multiple attribute group decision-making
A bi-objective evolutionary algorithm scheduled on uniform parallel batch processing machines
DTSMLA: A dynamic task scheduling multi-level attention model for stock ranking
A point operator-driven approach to decision-analytic modeling for multiple criteria evaluation problems involving uncertain information based on T-spherical fuzzy sets
Digital Twin development and implementation for the management of irrigation networks
Using text classification and multiple concepts to answer e-mails
Advancement of the search process of salp swarm algorithm for global optimization problems
Automation of the stabilization diagrams for subspace based system identification
Application of factor analysis for service R&D classification: A case study on the Korean ICT industry
samap: An user-oriented adaptive system for planning tourist visits
Circular Intuitionistic Fuzzy Decision Making and Its Application
Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification
Development of stage-discharge rating curve using model tree and neural networks: An application to Peachtree Creek in Atlanta
Using semi-independent variables to enhance optimization search
Word embeddings for topic modeling: An application to the estimation of the economic policy uncertainty index
Semiconductor final testing scheduling using Q-learning based hyper-heuristic
A procedure to detect problems of processes in software development projects using Bayesian networks
[email protected], an ecosystem of virtual environments and tools for realistic indoor robotic simulation
Integrating industry 4.0 into hospital waste management (HWM4.0): a framework and application of the novel interval CoCoSo method
MMDF-LDA: An improved Multi-Modal Latent Dirichlet Allocation model for social image annotation
A local supply chain inventory planning with varying perishability rate product: A case study
Diversified learning for continuous hidden Markov models with application to fault diagnosis
A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm
A reinforcement learning-based algorithm for the aircraft maintenance routing problem
Probabilistic neural networks for the identification of qualified audit opinions
Decision fusion for postal address recognition using belief functions
Predicting costs of local public bus transport services through machine learning methods
RGR-Net: Refined Graph Reasoning Network for multi-height hotspot defect detection in photovoltaic farms
Image segmentation by combining the global and local properties
Modeling and solving cloud service purchasing in multi-cloud environments
Reinforcement learning-based adaptive deep brain stimulation computational model for the treatment of tremor in Parkinson's disease
A multi-model approach to construction site safety: Fault trees, Bayesian networks, and ontology reasoning
Evaluate asphalt pavement frictional characteristics based on IGWO-NGBoost using 3D macro-texture data
A dual-level multi-attribute group decision-making model considering interaction factors based on CCSD and MARCOS methods with R-numbers
An improved firefly algorithm for solving dynamic multidimensional knapsack problems
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction
Acceptability analysis, unacceptability rectifying, and priority weights elicitation of hesitant multiplicative preference relations
Lane-level map matching for vehicles using mask-based raster high-definition maps
A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation
Representing moving objects in computer-based expert systems: the overtake event example
Modeling and heuristics for scheduling of distributed job shops
The logarithmic least squares priorities and ordinal violations in the best-worst method
Aerial drone fleet deployment optimization with endogenous battery replacements for direct delivery of time-sensitive products
An integrated service recommendation approach for service-based system development
Shadow detection and removal for remote sensing images via multi-feature adaptive optimization and geometry-aware illumination compensation
Algorithm-embedded IT applications for an emerging knowledge city: Istanbul, Turkey
Transformer-based sensor failure prediction and classification framework for UAVs
Gaussian mixture modeling of histograms for contrast enhancement
Infrared small target detection algorithm based on nested FPN and interference suppression
QRS detection method based on fully convolutional networks for capacitive electrocardiogram
Model checking combined trust and commitments in Multi-Agent Systems
Intelligent product search with soft-boundary preference relaxation
Breast cancer diagnosis using Genetically Optimized Neural Network model
Efficient mining of sequential patterns with time constraints: Reducing the combinations
Performing task automation for surgical robot: A spatial-temporal varying primal-dual neural network with guided obstacle avoidance and null space optimization
Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry
Predicting the relationships between virtual enterprises and agility in supply chains
IntelliSwAS : Optimizing deep neural network architectures using a particle swarm-based approach
Decision fusion approach for detecting unknown wafer bin map patterns based on a deep multitask learning model
Unsupervised labelling of sequential data for location identification in indoor environments
GATE: A guided approach for time series ensemble forecasting
A key distribution technique for wireless sensor networks using spanning trees
SEAMS: A surrogate-assisted evolutionary algorithm with metric-based dynamic strategy for expensive multi-objective optimization
Multi-modal fusion guided retinex-based low-light image enhancement
Efficiency ranking using dominance network and multiobjective optimization indexes
Learning to recommend via random walk with profile of loan and lender in P2P lending
Corrigendum to "Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems" [Expert Syst. Appl. 188 (2022) 116026]
Parameterized fuzzy-logic controllers for the attitude control of nanosatellites in low earth orbits. A comparative studio with PID controllers
A text summarization method based on fuzzy rules and applicable to automated assessment
Learning discriminative features via deep metric learning for video-based person re-identification
An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach
Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm
ETAM: Ensemble transformer with attention modules for detection of small objects
Overlapping community detection with adaptive density peaks clustering and iterative partition strategy
Impact of temporary obstacle on emergency evacuation systems in building staircases
Blended-emotional speech for Speaker Recognition by using the fusion of Mel-CQT spectrograms feature extraction
Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants
Complete null agent for games with externalities
APPFNet: Adaptive point-pixel fusion network for 3D semantic segmentation with neighbor feature aggregation
Conformance checking based on multi-perspective declarative process models
A graph-based approach to detect unexplained sequences in a log
MECIM: Multi-entity evolutionary competitive influence maximization in social networks
IM-ECG: An interpretable framework for arrhythmia detection using multi-lead ECG
A novel method based on wavelet transform and prototypical network for gearbox detection in few-shot learning
Quantum probabilistic group consensus decision-making model based on matrix fluctuation grey correlation for engineering bid evaluation
Using fuzzy super-efficiency slack-based measure data envelopment analysis to evaluate Taiwan's commercial bank efficiency
Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation
Wavelet network-based motion control of DC motors
An iterated construction approach with dynamic prioritization for solving the container loading problems
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support
An innovative unsupervised gait recognition based tracking system for safeguarding large-scale nature reserves in complex terrain
A hybrid intelligent system to improve predictive accuracy for cache prefetching
An effective clustering procedure of neuronal response profiles in graded thermal stimulation
Model-based decision support system for water quality management under hybrid uncertainty
Actively masked reasoning over knowledge graphs for fault diagnosis under insufficient information condition
Group fuzzy comprehensive evaluation method under ignorance
Geometric SMOTE for imbalanced datasets with nominal and continuous features
A multi-channel signal fault diagnosis method based on dynamic weighted data fusion and multi-scale feature enhancement
Cost effective transfer of reinforcement learning policies
Improving peer-to-peer search performance through intelligent social search
Multi-step forecasting of multivariate time series using multi-attention collaborative network
Image compression scheme based on curvelet transform and support vector machine
One model, dual tasks: a novel distributionally adaptive learning framework for ECG classification and generation addressing intra- and inter-patient variability
A hybrid load forecasting system based on data augmentation and ensemble learning under limited feature availability
A weighted segment-based caching algorithm for video streaming objects over heterogeneous networking environments
Nature inspired optimization techniques for the design optimization of laminated composite structures using failure criteria
Fast heuristic method to detect people in frontal depth images
An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model
Overseeing road safety progress using CV-PROMETHEE Ⅱ-JSS: A case study in the EU context
A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem
Retraction notice to "Time-dependent personal tour planning and scheduling in metropolises" [Expert Syst. Appl. 38(10) 2011 12439-12452]
Learning diversified features for pulmonary hypertension detection using chest X-ray
An intelligent adaptive fuzzy-based inference system for computer-assisted language learning
Reinforcement Learning in action: Powering intelligent intrusion responses to advanced cyber threats in realistic scenarios
Data mining modeling on the environmental impact of airport deicing activities
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering
Feature selection for support vector machine-based face-iris multimodal biometric system
Event AutoAugment: Word-level data augmentation for textual event detection
Knowledge stickiness in the buyer-supplier knowledge transfer process: The moderating effects of learning capability and social embeddedness
Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis
STDiff: A state transition diffusion framework for time series imputation in industrial systems
Class-imbalanced time series anomaly detection method based on cost-sensitive hybrid network
Facial Action Unit detection based on multi-task learning strategy for unlabeled facial images in the wild
A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method
A novel model for merger analysis and target setting: A CSW-Inverse DEA approach
Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with fairly variable extended power average operators and GRA-MARCOS
Developing a novel energy efficient routing protocol in WSN using adaptive remora optimization algorithm
User profiling via application usage pattern on digital devices for digital forensics
General and specific formalization approach for a Balanced Scorecard: An expert system with application in health care
Optimal capacity configuration of CCHP system with improved operation strategies using improved multi-objective multi-universe algorithm
Restricted Boltzmann machine to determine the input weights for extreme learning machines
Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model
Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction
Two-stage travel itinerary recommendation optimization model considering stochastic traffic time
Creating the aspired intelligent assessment systems for teaching materials
Healthcare informatics and analytics in big data
A frame and first-order logic solution for the Wumpus World: Implemented in Flora-2
Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
New developments in uncertainty assessment and uncertainty management
Optimised multiple data partitions for cluster-wise imputation of missing values in gene expression data
Optimization of an established multi-objective delivering problem by an improved hybrid algorithm
Multi-objective optimization of empty train allocation using a Fast Surrogate-Assist Evolutionary Algorithm based on incremental learning
SNSMiner_VAC: Analyzing vaccination based on social network service data for safety surveillance
Solving a multi-objective chance constrained hierarchical optimization problem under intuitionistic fuzzy environment with its application
A New Approach to Efficiency Measurement: Hybrid JAYA Algorithm and Data Envelopment Analysis
A study on signal filtering techniques in trend-following strategies with LSTM integration
Linguistic multi-criteria decision-making model with output variable expressive richness
An improved grey neural network model for predicting transportation disruptions
Hybrid ensemble approaches to online harassment detection in highly imbalanced data
A tabu memory based iterated greedy algorithm for the distributed heterogeneous permutation flowshop scheduling problem with the total tardiness criterion
Classifier ensemble with evolutionary optimisation enforced random projections
Incomplete multi-view subspace clustering based on missing-sample recovering and structural information learning
Forecasting and trading the EUR/USD exchange rate with Gene Expression and Psi Sigma Neural Networks