yusuke1997/dblp-id-title huggingface dataset:
A cuckoo search algorithm with scale-free population topology
A data driven recurrent neural network approach for reproduction of variable visuo-haptic force feedback in surgical tool insertion
Inter-robot management via neighboring robot sensing and measurement using a zeroing neural dynamics approach
Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations
Extracting classification rule of software diagnosis using modified MEPA
Usefulness of support vector machine to develop an early warning system for financial crisis
Exploiting multi-agent platform for indirect alignment between multilingual ontologies: A case study on tourism business
A Neural Network theory based expert system - ICRT
Neural stylist: Towards online styling service
Introducing NBEATSx to realized volatility forecasting
Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization
centroIDA: Cross-domain class discrepancy minimization based on accumulative class-centroids for Imbalanced Domain Adaptation
An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: The case of close price indices
Machine Learning for industrial applications: A comprehensive literature review
GResMark: A swin transformer-based watermarking framework with geometric attack resilience
Using LDA with on-line experiment methods for coping with changes in MIMO dynamic model
A decoupled adaptive neuro-fuzzy sliding mode control system to control rotating stall and surge in axial compressors
A survey and comparison of leading-edge uncertainty handling methods for power grid modernization
Human Capital valuation and return of investment on corporate education
9th Mexican International Conference on Artificial Intelligence (MICAI-2010) celebrated in Pachuca Hidalgo, México, November 8-13, 2010
TG-ERC: Utilizing three generation models to handle emotion recognition in conversation tasks
Garbage In ≠ Garbage Out: Exploring GAN Resilience to Image Training Set Degradations
Scalable processing of continuous K-nearest neighbor queries with uncertain velocity
Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution
Optimized distance metrics for differential evolution based nearest prototype classifier
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Unbiased representation learning via feature decoupling network for cross-scene hyperspectral image classification
Community-aware multi-granularity contrastive learning for graph anomaly detection
Detection of traffic congestion and incidents from GPS trace analysis
CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks
A case-based reasoning system for supervised classification problems in the medical field
Using Bayesian belief networks to improve distributed situation awareness in shift changeovers: A case study
Deep belief network based intrusion detection techniques: A survey
Semi-global sequential recommendation via EM-like federated training
Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural network in engineering systems
A multi-strategy fusion artificial bee colony algorithm with small population
Predictive high-level feature representation based on dictionary learning
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
An anomaly-based intrusion detection system in presence of benign outliers with visualization capabilities
An evaluation method for designing a new product-service system
Interval type-2 fractional fuzzy inference systems: Towards an evolution in fuzzy inference systems
Evolutionary kernel density regression
A privacy self-assessment framework for online social networks
Fixed-time bipartite flocking of perturbed networked UAV systems: A distributed optimization approach
Constrained min-max optimization via the improved constraint-activated differential evolution with escape vectors
Absorptive and disseminative capacity: Knowledge transfer in intra-organization networks
MeetMulti-X: A benchmark analysis of scaling and prompting large language models on automatic minuting
New internal index for clustering validation based on graphs
Category-aware self-training for extremely weakly supervised text classification
A two-stage electrical capacitance tomography reconstruction method for greedy block sparsity and multi-domain feature fusion transformer
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning
A deep multi-task learning framework leveraging multi-modal behavioral signals: Real-time, fine-grained assessment of IIVIS-induced driver distraction
Multi-modal recommender system using text-to-image generative models and adaptive learning
Hybrid method for analyzing air thermal conditions in underground mines
Taxi and Ride Sharing: A Dynamic Dial-a-Ride Problem with Money as an Incentive
Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning
Surrogate-assisted evolutionary algorithm with hierarchical surrogate technique and adaptive infill strategy
P3R: Polymodal palpebral progressive refinement via symmetry aware latent diffusion for precision guided prediction of postoperative blepharoptosis morphology
A novel approach for assessment of candidate technologies with respect to their innovation potentials: Quick innovation intelligence process
Aspect-level sentiment analysis based on vector projection and adversarial contrastive learning
Applying fuzzy hierarchy multiple attributes to construct an expert decision making process
A new bi-stage interactive possibilistic programming model for perishable logistics distribution systems under uncertainty
Face recognition method based on support vector machine and particle swarm optimization
Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification
A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation
Domain adaptive subspace transfer model for sensor drift compensation in biologically inspired electronic nose
A novel method based on symbolic regression for interpretable semantic similarity measurement
Visual privacy protection methods: A survey
Identifying the underlying structure of demand during promotions: A structural equation modelling approach
Comparison of the representational ability in individual difference analysis using 2-D time-series image and time-series feature patterns
A heterogeneous multi-attribute case retrieval method for generating emergency response alternatives based on interval evidential reasoning and gained and lost dominance score method: An application to the COVID-19 emergency situation
Multi-strategy differential evolution algorithm based on adaptive hash clustering and its application in wireless sensor networks
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction
Developing and validating interoperable ontology-driven game-based assessments
Automated robustness testing for LLM-based natural language processing software
Adaptive critical subgraph mining for cognitive impairment conversion prediction with T1-MRI-based brain network
Identifying the nature of stomach diseases by ultrasonography based on genetic neural network
Corrigendum to "Unsupervised method for sentiment analysis in online texts" Expert Systems with Applications 58 (2016) 57-75
Fast illumination-robust foreground detection using hierarchical distribution map for real-time video surveillance system
Vision side prompt learning with low-rank multimodal alignment for video paragraph captioning
Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
LRseg: An efficient railway region extraction method based on lightweight encoder and self-correcting decoder
A flexible sequence alignment approach on pattern mining and matching for human activity recognition
Group decision-making method based on advanced aggregation operators with entropy and divergence measures under 2-tuple linguistic Pythagorean fuzzy environment
An iterated greedy algorithm for solving the total tardiness parallel blocking flow shop scheduling problem
A cloud-rough reliability allocation model using the best-worst method and decision-making trial and evaluation laboratory
Automatic EEG signal classification for epilepsy diagnosis with Relevance Vector Machines
Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning
SimpleCNN-UNet: An optic disc image segmentation network based on efficient small-kernel convolutions
Multiscale patch-based feature graphs for image classification
NN approach and its comparison with NN-SVM to beta-barrel prediction
Weakly supervised scene text generation for low-resource languages
A feature reduced intrusion detection system using ANN classifier
MFHSformer: Hierarchical sparse transformer based on multi-feature fusion for soil pore segmentation
A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis
Query-focused summarization with the context-graph information fusion transformer
Target speaker lipreading by audio-visual self-distillation pretraining and speaker adaptation
FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data
Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic
SGFNet: A semantic graph-based multimodal network for financial invoice information extraction
Dual-modal non-local context guided multi-stage fusion for indoor RGB-D semantic segmentation
Social media big data integration: A new approach based on calibration
Robust steganography with boundary-preserving overflow alleviation and adaptive error correction
Automatic lecture video skimming using shot categorization and contrast based features
Route planning model of multi-agent system for a supply chain management
Value of the stochastic efficiency in data envelopment analysis
Depth-based classification of directional data
Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning
Expert system to evaluate English medium instruction in Korean Universities
Multi-granularity and metric spatial reasoning
A novel approach for traffic accidents sanitary resource allocation based on multi-objective genetic algorithms
Similar genes discovery system (SGDS): Application for predicting possible pathways by using GO semantic similarity measure
Hybrid metaheuristics for solving a home health care routing and scheduling problem with time windows, synchronized visits and lunch breaks
AuthCom: Authorship verification and compromised account detection in online social networks using AHP-TOPSIS embedded profiling based technique
Comparing performances of logistic regression, classification and regression tree, and neural networks for predicting coronary artery disease
Evidential link prediction by exploiting the applicability of similarity indexes to nodes
A knowledge-based architecture for implementing collaborative problem-solving methods in military e-training
Extending the engineering trade-off analysis by integrating user preferences in conjoint analysis
Turning from TF-IDF to TF-IGM for term weighting in text classification
PSO-based single multiplicative neuron model for time series prediction
Company failure prediction in the construction industry
Document-level relation extraction with structural encoding and entity-pair-level information interaction
A biased random-key genetic algorithm for the two-stage capacitated facility location problem
A novel evolutionary algorithm inspired by the states of matter for template matching
Efficient algorithms for mining maximal high utility itemsets from data streams with different models
Erratum to "Multi-attribute decision making for green electrical discharge machining" [Expert Syst. Appl. 38(7) (2011) 8370-8374]
Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling
Incremental energy-based recurrent transformer-KAN for time series deformation simulation of soft tissue
Rough set model based feature selection for mixed-type data with feature space decomposition
Trendlets: A novel probabilistic representational structures for clustering the time series data
TEEECH: Three-Tier Extended Energy Efficient Clustering Hierarchy Protocol for Heterogeneous Wireless Sensor Network
Application of DEA in analyzing a bank's operating performance
A Plug-in for cognitive diagnosis method based on correlation representation under long-tailed distribution
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity
Prediction of cutting tool insert parameters using machine learning and its application to industry: Performance of DNN and LSTM models
A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction
Provable causal distributed two-time-scale temporal-difference learning with instrumental variables
BNFW: Boundary and noise detection clustering for data with fuzzy boundaries and weak connectivity
Supply chain management with lean production and RFID application: A case study
Automatic contrastive chain-of-thought prompting: Learning from reasoning errors of large language models
Research on deep echo state networks with reservoir interactions
BF-QC: Belief functions on quantum circuits
Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling
A novel temporal adaptive fuzzy neural network for facial feature based fatigue assessment
Application of decision making and fuzzy sets theory to evaluate the healthcare and medical problems: A review of three decades of research with recent developments
Advanced strategies on update mechanism of tree-seed algorithm for function optimization and engineering design problems
Convolutional neural network architecture search based on fractal decomposition optimization algorithm
Optimization of modular structures using Particle Swarm Optimization
GAT: Platform for automatic context-aware mobile services for m-tourism
Capability-based machine layout with a matheuristic-based approach
Temporal analysis of drifting hashtags in textual data streams: A graph-based application
Employee sentiment index: Predicting stock returns with online employee data
A data analytic framework for physical fatigue management using wearable sensors
Radar placement optimization based on adaptive multi-objective meta-heuristics
AGD-GAN: Adaptive Gradient-Guided and Depth-supervised generative adversarial networks for ancient mural sketch extraction
Formation collaborative obstacle avoidance with multiple UGVs in restricted environments based on adaptive DWA
Automatic classification of granite tiles through colour and texture features
Advances in Clustering Collaborative Filtering by means of Fuzzy C-means and trust
Comparing the online learning capabilities of Gaussian ARTMAP and Fuzzy ARTMAP for building energy management systems
Systemic banking crisis early warning systems using dynamic Bayesian networks
CISL-PD: A deep learning framework of clinical intervention strategies for Parkinson's disease based on directional counterfactual Dual GANs
Prioritization and selection of intellectual capital measurement indicators using analytic hierarchy process for the mobile telecommunications industry
Random effects logistic regression model for anomaly detection
An effective solution method for the technician routing and scheduling problem with learning effects
A hybrid knowledge and model approach for reviewer assignment
A novel forecasting strategy for improving the performance of deep learning models
Secure consensus switching control for multiagent system under abnormal deception attacks and its application to unmanned surface vehicle clusters
Dual-modality learning and transformer-based approach for high-quality vector font generation
An improved grey relational analysis approach for panel data clustering
Sparse episode identification in environmental datasets: The case of air quality assessment
Intelligent business processes composition based on multi-agent systems
Bin.INI: An ensemble approach for dynamic data streams
Advancing real-world visual SLAM: Integrating adaptive segmentation with dynamic object detection for enhanced environmental perception
A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems
A simultaneous transit network design and frequency setting: Computing with bees
SecLMNER: A framework for enhanced named entity recognition in multi-source cybersecurity data using large language models
A model-based approach for in-situ automatic defect detection in welds using ultrasonic phased array
FCM-CSMOTE: Fuzzy C-Means Center-SMOTE
LGD: A fast place recognition method based on the fusion of local and global descriptors
Substitution box generator with enhanced cryptographic properties and minimal computation time
Customer price sensitivities in competitive insurance markets
Fuzzy fusion for attending and responding assessment system of affective teaching goals in distance learning
Surrogate-assisted evolutionary neural architecture search based on smart-block discovery
An efficient hybrid adaptive large neighborhood search method for the capacitated team orienteering problem
Networkcentric healthcare and bioinformatics: Unified operations within three domains of knowledge
Cross-target stance detection: A survey of techniques, datasets, and challenges
Ensemble learning methods for pay-per-click campaign management
An Intelligent information segmentation approach to extract financial data for business valuation
Electoral forecasting using a novel temporal attenuation model: Predicting the US presidential elections
An objective evaluation method for automated vehicle virtual test
Long short-term attentional neuro-cognitive diagnostic model for skill growth assessment in intelligent tutoring systems
An automated method for identifying TRIZ evolution trends from patents
Long-term traffic flow prediction via spatiotemporal sequence reconstruction on highway networks
Intuitionistic fuzzy C-regression by using least squares support vector regression
A new modelling methodology to control HVAC systems
An acceleration vector variance based method for energy expenditure estimation in real-life environment with a smartphone/smartwatch integration
Temporal context video compression with flow-guided feature prediction
Label-Fusion Progressive segmentation of ore and rock particles in complex illumination conditions based on SAM-Mask2Former
One-shot motion talking head generation with audio-driven model
A probabilistic multiple criteria sorting approach based on distance functions
Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting
Why does this query need to be labeled?: Enhancing active learning through explanation-based interventions in query selection
Community detection based on graph diffusion: A survey of definitions, challenges, and models
Conflict management-based consensus reaching process considering conflict relationship clustering in large-scale group decision-making problems
Novel techniques and an efficient algorithm for closed pattern mining
Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring
DAMBLO: Improving arrhythmia classification with plug-and-play dual attention-based multiscale feature learning blocke
Simultaneous multi-objective path planning with cumulative hazardous dosage constraint for mobile detection robots in complex environments
Modelling customer requirement for mobile games based on online reviews using BW-CNN and S-Kano models
Forecasting crude oil futures price uncertainty: an explainable deep learning framework integrating news sentiment
Knowledge retrieval and diagnostics in cloud services with large language models
Aspect-based sentiment score and star rating prediction for travel destination using Multinomial Logistic Regression with fuzzy domain ontology algorithm
Characterizing the reputation of evaluators using vectors in the object feature space
MF-Net: Multiple-feature extraction network for breast lesion segmentation in ultrasound images
Voice of the customer: Customer satisfaction ratio based analysis
STP: Special token prompt for parameter-efficient tuning of pre-trained language models
Applying hierarchical grey relation clustering analysis to geographical information systems - A case study of the hospitals in Taipei City
The use of machine learning algorithms in recommender systems: A systematic review
Multiple instance-based video anomaly detection using deep temporal encoding-decoding
A fuzzy approach for natural noise management in group recommender systems
UnWarpME: Unsupervised warping map estimation in real-world scenarios
A hybrid multi-objective genetic algorithm for planning order release date in two-level assembly system with random lead times
Line formation algorithm in a swarm of reactive robots constrained by underwater environment
Data association in multiple object tracking: A survey of recent techniques
OCEAN: Object-centric arranging network for self-supervised visual representations learning
ISFB-GAN: Interpretable semantic face beautification with generative adversarial network
An innovative index system and HFFS-MULTIMOORA method based group decision-making framework for regional green development level evaluation
A multi-object soldier tracking algorithm based on trajectory association and improved YOLOv8n
A multi-objective formulation of maximal covering location problem with customers' preferences: Exploring Pareto optimality-based solutions
Recognition of multi-interval rules in dataset with continuous-valued attributes
Fusing global attention and self-attention for better performance and interpretability on tabular data
Self-adaptive Support Vector Machine: A multi-agent optimization perspective
Predictive model-based for the critical submergence of horizontal intakes in open channel flows with different clearance bottoms using CART, ANN and linear regression approaches
SLDeep: Statement-level software defect prediction using deep-learning model on static code features
A non-parametric heuristic algorithm for convex and non-convex data clustering based on equipotential surfaces
CRMA-UNet: CNN+ResMamba-based and attentional mechanisms for retinal vessel segmentation
Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting
Promoting green-building development in sustainable development strategy: A multi-player quantum game approach
The search for potentially interesting products in an e-marketplace: An agent-to-agent argumentation approach
Applying data mining to learn system dynamics in a biological model
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures
On acquiring classification knowledge from noisy data based on rough set
Multi-depot vehicle scheduling with multiple vehicle types on overlapped bus routes
A frequency-domain dynamic amplitude filtering method for single-image dehazing with harmony enhancement
Using information retrieval for sentiment polarity prediction
Time-frequency perception guided multi-level contrastive learning for rotating machinery fault diagnosis
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
Detecting rare events using Kullback-Leibler divergence: A weakly supervised approach