yusuke1997/dblp-id-title huggingface dataset:
MedKit: Multi-level feature distillation with knowledge injection for radiology report generation
A reinforcement learning approach to improve the argument selection effectiveness in argumentation-based negotiation
GEDAS: an integrated geographical expert database system
Supply chain partners and configuration selection: An intuitionistic fuzzy Choquet integral operator based approach
Characterization of time series for analyzing of the evolution of time series clusters
Nearest neighbor estimate of conditional mutual information in feature selection
Retraction notice to "Using a back propagation network combined with grey clustering to forecast policyholder decision to purchase investment-inked insurance" [ESWA 38/6 (2010) 6736-6747]
DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes
ContextualGraph-LLM: A multimodal framework for enhanced Darknet traffic analysis
MUSIC-MAS: Modeling a harmonic composition system with virtual organizations to assist novice composers
Twitter trends: A ranking algorithm analysis on real time data
An expert diagnosis system for classification of human parasite eggs based on multi-class SVM
Detection of microcalcifications in digital mammograms using combined model-based and statistical textural features
Extracting drug utilization knowledge using self-organizing map and rough set theory
Computer aided classification of diagnostic terms in spanish
Digital twin-based anomaly detection under concept drift: A comparison between iterative batch learning and incremental learning approaches
Domain driven data mining in human resource management: A review of current research
A knowledge transfer online stochastic configuration network-based prediction model for furnace temperature in a municipal solid waste incineration process
Rule-based credit risk assessment model using multi-objective evolutionary algorithms
Ontologies for information management: balancing formality, stability, and sharing scope
DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery
Enhanced age estimation by considering the areas of non-skin and the non-uniform illumination of visible light camera sensor
An integrated approach of fuzzy risk assessment model and data envelopment analysis for route selection in multimodal transportation networks
Collaborative design: Improving efficiency by concurrent execution of Boolean tasks
Representing and discovering heterogeneous interactions for financial risk assessment of SMEs
Generalizing inverse data envelopment analysis through directional distance function
Automatic traffic incident detection based on nFOIL
Study of a lifelong learning scenario for question answering
A linguistic multicriteria analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site selection
Variable selection in clustering for marketing segmentation using genetic algorithms
The dependence index based on martingale difference correlation: An efficient tool to distinguish different complex systems
SDFuse: Semantic-injected dual-flow learning for infrared and visible image fusion
Manifold regularized deep canonical variate analysis with interpretable attribute guidance for three-phase flow process monitoring
Forecasting air pollutant indicator levels with geographic models 3 days in advance using neural networks
Tracing knowledge diffusion of TOPSIS: A historical perspective from citation network
SAAM-ReflectNet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation
ISBFK-means: A new clustering algorithm based on influence space
A novel video based system for detecting and counting vehicles at user-defined virtual loops
Research on clinical decision support systems development for atrophic gastritis screening
Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system
Fair-AdaBoost: Extending AdaBoost method to achieve fair classification
Extracting keywords of educational texts using a novel mechanism based on linguistic approaches and evolutive graphs
Local search metaheuristic for solving hybrid flow shop problem in slabs and beams manufacturing
Kinship analysis and machine learning algorithms in forensic contexts: A new NGS panel
GenSumNet: A genre-specific and context-aware video summarization framework with adaptive thresholding and hybrid temporal modeling
AS-Net: Attention Synergy Network for skin lesion segmentation
Growing random forest on deep convolutional neural networks for scene categorization
Inventory and financing decisions in cross-border e-commerce: The financing and information roles of a bonded warehouse
An end-to-end approach and tool for BPMN process discovery
Bridging land and sea: A latent diffusion framework for high-resolution ocean floor mapping
Distance-based online classifiers
A fuzzy-AHP-based technique for the decision of design feature selection in Massively Multiplayer Online Role-Playing Game development
Minimizing time risk in on-line bidding: An adaptive information retrieval based approach
Selection bias mitigation in recommender system using uninteresting items based on temporal visibility
BP neural network with rough set for short term load forecasting
A robust DEA model under discrete scenarios for assessing bank branches
Comprehensive benchmarking of knowledge graph embeddings methods for Android malware detection
A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies
Ant Colony Extended: Experiments on the Travelling Salesman Problem
A business process activity model and performance measurement using a time series ARIMA intervention analysis
Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection
Optimal tracking control for motion constrained robot systems via event-sampled critic learning
Integrating modularity maximization and contrastive learning for identifying spatial domain from spatial transcriptomics
Association rule-based feature selection method for Alzheimer's disease diagnosis
Minimizing makespan in a flow-line manufacturing cell with sequence dependent family setup times
An empirical study of dynamic selection and random under-sampling for the class imbalance problem
An ensemble of logical-type neuro-fuzzy systems
Using a segmenting description approach in multiple criteria decision aiding
Twitter data laid almost bare: An insightful exploratory analyser
Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions
Visual defect detection for historical building preservation
Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift
A reinforcement learning framework using pointer networks to address tampering of pollutant control systems in freight transportation
μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras
A bi-objective simulation-based optimization algorithm for redundancy allocation problem in series-parallel systems
Doctors ranking through heterogeneous information: The new score functions considering patients' emotional intensity
Improving the security level of the FUSION@ multi-agent architecture
Large Separable Kernel Attention: Rethinking the Large Kernel Attention design in CNN
Evaluation of environmental impact upon human health with DeciMaS framework
Bi-objective multi-period vehicle routing for perishable goods delivery considering customer satisfaction
Geodesic-based path planning for port transfer robots on Riemannian manifolds
A novel multi-fidelity modeling method with double adaptive selection of kernel and learning functions - Application to spaceborne deployable antennas
ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem
An effective hybrid attention model for crop yield prediction using IoT-based three-phase prediction with an improved sailfish optimizer
A combined interactive procedure using preference-based evolutionary multiobjective optimization. Application to the efficiency improvement of the auxiliary services of power plants
Finding "persistent rules": Combining association and classification results
A multi-task CNN approach for lung nodule malignancy classification and characterization
Enhanced fuzzy time series forecasting model based on hesitant differential fuzzy sets and error learning
LGTime: Leveraging LLMs with feature-aware processing and multi-granularity fusion for zero-shot time series forecasting
An evidential reasoning based approach for quality function deployment under uncertainty
Older drivers and accidents: A meta analysis and data mining application on traffic accident data
Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution
Chaotic time series prediction with employment of ant colony optimization
Response modeling with support vector machines
Detection of femoral artery occlusion from spectral density of Doppler signals using the artificial neural network
Using VADER sentiment and SVM for predicting customer response sentiment
An efficient signature-based strategy for supporting inexact filtering in information filtering systems
Hybrid personalized recommender system using centering-bunching based clustering algorithm
An Elman neural network-based model for predicting anti-germ performances and ingredient levels with limited experimental data
Concept over time: the combination of probabilistic topic model with wikipedia knowledge
Diagnosis system for retinopathy of prematurity with Fourier parameterized rotation equivariant convolutions network and prompt mechanism
Adaptive burn-in time decision system based on pattern recognition for intelligent reliability control
Dentists who can auscultate: Microphone-based toothbrushing quality monitoring system for electronic toothbrush
Moving object detection and tracking by using annealed background subtraction method in videos: Performance optimization
Global and intrinsic geometric structure embedding for unsupervised feature selection
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Modified NSGA-II for solving Bi-objective support unit location problem to assist roadside traffic survey with multi-stages
Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation
Analysing user trust in electronic banking using data mining methods
Data-driven algorithm for temperature predictions and corrections from low-resolution thermal images at fire scenes
Trading financial indices with reinforcement learning agents
Class-agnostic adaptive feature adaptation method for anomaly detection of aero-engine blade
Realistic feature perception for face frontalization with dual-mode face transformation
Intensification-driven local search for the traveling repairman problem with profits
Efficient graph neural architecture search using Monte Carlo Tree search and prediction network
Transforming collaborative filtering into supervised learning
Detection of unknown bearing faults using re-weighted symplectic geometric node network characteristics and structure analysis
Enhancing text quality evaluation with integrating content security attributes
Design for All in action: An example of analysis and implementation
Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
A sequential direct hybrid algorithm to compute stationary distribution of continuous-time Markov chain
Strategies for retailers' sales effort competition under random demand and manufacturer's cost-sharing contract
Reward-driven U-Net training for obstacle avoidance drone
Unsupervised probabilistic feature selection using ant colony optimization
CCF-former: A transformer with cross-channel feature aggregation and frozen backbone for fault prediction
Pull together: Option-weighting-enhanced mixture-of-experts knowledge tracing
PQ-RRT*: An improved path planning algorithm for mobile robots
Mining students' behavior in web-based learning programs
Multi-objective scheduling of dynamic job shop using variable neighborhood search
Unsupervised aspect-based summarization using variational autoencoders
Specifics of medical data mining for diagnosis aid: A survey
highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data
Blockchain assisted clustering with Intrusion Detection System for Industrial Internet of Things environment
A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere
A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems
An adaptive random walk sampling method on dynamic community detection
A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks
A MAS architecture for dynamic, realtime rescheduling and learning applied to railway transportation
Preference relations based unsupervised rank aggregation for metasearch
Heterogeneous cloud resource allocation: a case study on real-time transcoding in live streaming
A novel fuzzy co-clustering method for recommender systems via inverse stereographic NMF
Semi-supervised semantic segmentation with confidence-driven consistency learning
Using 3D FFT fractal dimension estimator to analyze the complexity of fetal cortical surface from MR images
Anomaly detection of vectorized time series on aircraft battery data
An integrated system for vehicle tracking and classification
Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling
Vehicle relocation and staff rebalance problem in one-way free-floating car-sharing system: A novel multi-iteration probabilistic greedy algorithm
Frog classification using machine learning techniques
Enhancing vulnerability detection via AST decomposition and neural sub-tree encoding
Selecting mutation operators with a multiobjective approach
Flocking dynamics for cooperation multi-agent networks subject to intermittent communication
Tissue segmentation in ultrasound images by using genetic algorithms
Rapid generation strategy for multi-objective preventive control schemes integrating quantile regression and deep learning
Partial channel pooling attention beats convolutional attention
A new efficient collaboration model for multi-echelon supply chains
Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads
Elastic net-based high dimensional data selection for regression
AirMamba: A deep learning framework for long-term PM2.5 forecasting integrating multi-scale correlations and time-frequency dynamics
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants
Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems
Mining a lottery for a favorable jackpot
Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images
Hybrid approach to the Japanese candlestick method for financial forecasting
Interpretable knowledge tracing with dual-level knowledge states
Demand Allocation and Lot-Sizing Solution of Single Product Deterministic Demand
Measuring environmental efficiency of the EU based on a DEA approach with fixed cost allocation under different decision goals
A probabilistic approach to event log completeness
MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering
Attentive Hierarchical ANFIS with interpretability for cancer diagnostic
Integrating social media data: Venues, groups and activities
Parallel Interval Type-2 Subsethood Neural Fuzzy Inference System
An intelligent environment for preventing medication errors in home treatment
Multi-step ahead forecasting for electric power load using an ensemble model
MA-CapsNet-DA: Speech emotion recognition based on MA-CapsNet using data augmentation
MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos
A real-time SPC inventory replenishment system to improve supply chain performances
A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
Gold price volatility: A forecasting approach using the Artificial Neural Network-GARCH model
A multidimensional hybrid intelligent method for gear fault diagnosis
Optimal learning group formation: A multi-objective heuristic search strategy for enhancing inter-group homogeneity and intra-group heterogeneity
Accounting for dynamics in attribute-importance and for competitor performance to enhance reliability of BPNN-based importance-performance analysis
Anticipatory assistance-as-needed control algorithm for a multijoint upper limb robotic orthosis in physical neurorehabilitation
Enhancement of domain ontology construction using a crystallizing approach
Particle swarm optimization for parameter determination and feature selection of support vector machines
An intelligent system for sorting pistachio nut varieties
A modified genetic algorithm for maximizing handling reliability and recyclability of distribution centers
An ensemble method for top-N recommendations from the SVD
Multi-modal wound classification using wound image and location by Swin Transformer and Transformer
Self-enhancing defense for protecting against model stealing attacks on deep learning systems
An unsupervised orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images
Dynamic analysis of soil-structure interaction using the neural networks and the support vector machines
Enhancing parcel singulation efficiency through transformer-based position attention and state space augmentation
A hyper-heuristic based ensemble genetic programming approach for stochastic resource constrained project scheduling problem
Facial beauty analysis based on geometric feature: Toward attractiveness assessment application
Internet browsing application based on electrooculography for disabled people
GA-based H 2 /H ∞ static output feedback design with average performance concept and techniques of family of polynomials
Dynamic lifecycle induced authenticity analysis for multi-modal fake news detection
An effective query recommendation approach using semantic strategies for intelligent information retrieval
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
Dual-branch convolutional neural network for robust camera model identification
Query-oriented unsupervised multi-document summarization via deep learning model
ACDm: Autoregressive-conditioned diffusion model for future state generation in temporal knowledge graph reasoning
Flower classification with modified multimodal convolutional neural networks
A novel structure adaptive discrete grey Bernoulli model and its application in renewable energy power generation prediction
Local eye-net: An attention based deep learning architecture for localization of eyes
ILENet: Illumination-Modulated Laplacian-Pyramid Enhancement Network for low-light object detection
An embedded toolset for human activity monitoring in critical environments
Energy aware semi-automatic assembly line balancing problem considering ergonomic risk and uncertain processing time
Invariant semantic domain generalization shuffle network for cross-scene hyperspectral image classification
Reject inference for default prediction based on three-way decision theory and bagging ensemble model: Evidence from Chinese MSEs
Two-sided disassembly line balancing problem with sequence-dependent setup time: A constraint programming model and artificial bee colony algorithm
Towards smart 6G: Mobility prediction for dynamic edge services migration
A literature review of recommender systems in the television domain
Mining incrementally closed item sets with constructive pattern set
Approximate modeling for high order non-linear functions using small sample sets
Multiobjective clustering analysis using particle swarm optimization
Information-assisted and sentiment relation-driven for aspect-based sentiment analysis
A survey of security in multi-agent systems
The Value Index as a decision support tool applied to a new system for evaluating and selecting design alternatives
ADT: Person re-identification based on efficient attention mechanism and single-channel dual-channel fusion with transformer features aggregation
Effective hierarchical optimization by a hierarchical multi-space competitive genetic algorithm for the flexible job-shop scheduling problem
Using an intelligent agent to classify competitor behavior and develop an effective E-market counterstrategy
Improved identification of Hammerstein plants using new CPSO and IPSO algorithms
Cloud-DLS: Dynamic trusted scheduling for Cloud computing
The discovery of experts' decision rules from qualitative bankruptcy data using genetic algorithms
An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants
Using Gaussian process based kernel classifiers for credit rating forecasting
Quasi-optimal case-selective neural network model for software effort estimation
Optimizing high-speed rotating shaft vibration control: Experimental investigation of squeeze film dampers and a comparative analysis using Artificial Neural Networks (ANN) and Response Surface Methodology (RSM)
Elimination of lower order harmonics in Voltage Source Inverter feeding an induction motor drive using Evolutionary Algorithms
Stock market trend prediction using dynamical Bayesian factor graph
FFCL-KGC: Feature fusion contrastive learning via dual prompting for knowledge graph completion
Dynamic spatio-temporal graph network with adaptive propagation mechanism for multivariate time series forecasting
An efficient multi-objective state transition algorithm based on improved crowding distance
Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing
Topological organization for hybrid rice growth stages Phenotype based on Contrastive clustering
Topological constraints and robustness in liquid state machines
Exploring the dynamics of the efficiency in the Italian hospitality sector. A regional case study
Improving rule sorting, predictive accuracy and training time in associative classification
Detection of spoofing attacks for ear biometrics through image quality assessment and deep learning
Corrigendum to "A Collaborative Algorithm for Semantic Video Annotation Using a Consensus-based Social Network Analysis" Expert Systems with Applications Volume 42 Issue 1 (2015) 246-258
Distributed quantized state feedback strategy for ensuring predesignated formation tracking performance of networked uncertain nonholonomic multi-robot systems with quantized communication
CoxNAM: An interpretable deep survival analysis model
BWave framework for coverage path planning in complex environment with energy constraint
Segmentation-assisted hierarchical constrained state space approach for robust carotid artery wall motion measurement
Discriminative latent representation harmonization of multicenter medical data
DRL-based injection molding process parameter optimization for profit-aware adaptive process control
Impulsive synchronization control for dynamic networks subject to double deception attacks
An OWL-based semantic business process monitoring framework
Mitigating false negatives in imbalanced datasets: An ensemble approach
ClusterHopper: Cross-region order dispatching optimization for ride-hailing drivers
A novel trading system for the stock market using Deep Q-Network action and instance selection
Estimation of radiation damage at the structural materials of a hybrid reactor by probabilistic neural networks