yusuke1997/dblp-id-title huggingface dataset:
FusionNet: A bias-aware multimodal deep learning framework for detecting misinformation in noisy social media environments
Learning global dependencies via parallelized graph transformer with hybrid attention
New feature analysis-based elastic net algorithm with clustering objective function
A multi-expert model for dialogue and behavior control of conversational robots and agents
Analysis for knowledge-based systems: A practical guide to the KADS methodology : F R Hickman, J L Killin, L Land, T Mulhall, D Porter and R M Taylor
Toward a hybrid data mining model for customer retention
FSS-GCN: A graph convolutional networks with fusion of semantic and structure for emotion cause analysis
Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system
Partial multi-label learning via robust feature selection and relevance fusion optimization
Guest Editorial: Intelligent Decision Making Support Tools
An improvement decomposition-based multi-objective evolutionary algorithm with uniform design
Dual-granularity multi-instance multi-label learning with variational autoencoder
A transformer-enhanced LSTM framework for robust malicious traffic detection in industrial control systems
A many-objective feature selection for multi-label classification
Addressing the train-test gap on traffic classification combined subflow model with ensemble learning
Detecting community in attributed networks by dynamically exploring node attributes and topological structure
Graph-reinforcement-learning-based distributed path planning for collaborative multi-AGV systems
A deep learning based image enhancement approach for autonomous driving at night
Duplicate Bug Report detection using Named Entity Recognition
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Feature selection based on cluster and variability analyses for ordinal multi-class classification problems
Evaluating regression algorithms at the instance level using item response theory
Temporal visiting-monitoring feature interaction learning for modelling structured electronic health records
A novel three-way decision model based on incomplete information system
Matching cognitive characteristics of actors and tasks in information systems engineering
Finding multiple global linear correlations in sparse and noisy data sets
Light regression memory and multi-perspective object special proposals for abrupt motion tracking
An effective feature selection method for web spam detection
Link prediction method for social networks based on a hierarchical and progressive user interaction matrix
Enhancing aspect-category sentiment analysis via syntactic data augmentation and knowledge enhancement
Stabilized distributed online mirror descent for multi-agent optimization
Granular ball guided selector for attribute reduction
A new context-aware approach for automatic Chinese poetry generation
ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data
Prodigal: Backdoor defense for federated learning beyond robust aggregation
Discovering common outcomes of agents' communicative actions in various domains
Recurrent generative adversarial networks for unsupervised WCE video summarization
MGP: Integrating pre-training and few-shot node classification via meta graph prompt
Adaptive Cross-Modal Experts Network with Uncertainty-Driven Fusion for Vision-Language Navigation
Classification of incomplete data based on belief functions and K-nearest neighbors
Siamese attentional keypoint network for high performance visual tracking
Emotion-Assisted multi-modal Personality Recognition using adversarial Contrastive learning
Machine learning forecasting of extreme fluctuations in a human balancing task
MH-Net: Model-data-driven hybrid-fusion network for medical image segmentation
A practical approach to modelling and validating integrity constraints in the Semantic Web
PRNet: Parallel Reinforcement Network for two-view correspondence learning
Federated Learning with complete service commitment of data heterogeneity
Efficient semantic place categorization by a robot through active line-of-sight selection
Locally-biased spectral approximation for community detection
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition
DeepFusion: A simple way to improve traditional multi-view stereo methods using deep learning
A novel twin minimax probability machine for classification and regression
Atom search optimization and its application to solve a hydrogeologic parameter estimation problem
STP-Net: Spatiotemporal graph neural network incorporating global brain functional network partitioning for driver fatigue monitoring
A flexible framework to experiment with ontology learning techniques
Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval
Multi-local Collaborative AutoEncoder
Cost-sensitive semi-supervised selective ensemble model for customer credit scoring
A fuzzy multi-criteria group decision making method for individual research output evaluation with maximum consensus
PoliTwi: Early detection of emerging political topics on twitter and the impact on concept-level sentiment analysis
Expert systems for engineering design : Michael D Rychener
Research hypothesis generation over scientific knowledge graphs
Advanced discrete SAC-based speed and lane change decision-making method for autonomous vehicle in highway scenario
Online Rebuilding Regression Random Forests
Temporal-based graph reasoning for Visual Commonsense Reasoning
Hierarchical A * based path planning - a case study
Optimizing IoT data collection through federated learning and periodic scheduling
Towards smart-data: Improving predictive accuracy in long-term football team performance
A careful assessment of recommendation algorithms related to dimension reduction techniques
A hypothetical defenses-based training framework for generating transferable adversarial examples
Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint
Ensemble of classifiers based on score function defined by clusters and decision boundary of linear base learners
Domain generalization via geometric adaptation over augmented data
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization
SpiderNet: A spiderweb graph neural network for multi-view gait recognition
cegpy: Modelling with chain event graphs in Python
DeepRadar: A cyber-defence interceptor for early warning and defusing malware injection attacks
Opportunistic software architecture for support of design coordination
Financial time series prediction using a dendritic neuron model
Three-way conflict analysis: A unification of models based on rough sets and formal concept analysis
Fat node leading tree for data stream clustering with density peaks
Interplay between Bayesian neural networks and deep learning: A survey
Multilayer encoder and single-layer decoder for abstractive Arabic text summarization
Three stage classification framework with ranking scheme for distracted driver detection using heuristic-assisted strategy
Semi-supervised high-uncertainty deep canonical variate analysis for fault diagnosis in blast furnace ironmaking
Optimizing multi-time series forecasting for enhanced cloud resource utilization based on machine learning
Dual-path Frequency Discriminators for few-shot anomaly detection
Corrigendum to 'A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data' [Knowledge-Based Systems, 30 (2012) 129-135]
Robust boosting classification models with local sets of probability distributions
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization
An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand
Personalized multimodal sentiment analysis under uncertain modalities missing via pretraining and online learning
EBAO: An intrusion detection framework for wireless sensor networks using an enhanced binary Aquila Optimizer
Ontology-driven hypothesis generation to explain anomalous patient responses to treatment
A safe accelerative approach for pinball support vector machine classifier
Improving adversarial robustness of deep neural networks by using semantic information
Effective fuzzy joint mutual information feature selection based on uncertainty region for classification problem
A local fuzzy thresholding methodology for multiregion image segmentation
Utilizing multi-source data in popularity prediction for shop-type recommendation
Active deep image clustering
PerioDformer: periodic disposition enhanced transformer for times series forecasting
A method for exploring the interdependencies and importance of critical infrastructures
LLM-Commentator: Novel fine-tuning strategies of large language models for automatic commentary generation using football event data
Autonomous perception and adaptive standardization for few-shot learning
FPCANet: Fisher discrimination for Principal Component Analysis Network
Enhancing the reliability of image classification using the intrinsic features
A human-like action learning process: Progressive pose generation for motion prediction
Supervised locality discriminant manifold learning for head pose estimation
A knowledge-based platform for Big Data analytics based on publish/subscribe services and stream processing
SVM-based multi-state-mapping approach for multi-class classification
Structural graph federated learning: Exploiting high-dimensional information of statistical heterogeneity
Real-time fall detection on roads using transfer learning-based granulated Bi-LSTM
A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps
Enhancing visual representation for text-based person searching
Advanced people analytics: integrating tournament theory, human capital theory, and social network theory for enhanced HRIS and performance evaluation
Particle swarm optimization with adaptive learning strategy
Focus-Attention Approach in Optimizing DETR for Object Detection from High-Resolution Images
Hybrid SOM based cross-modal retrieval exploiting Hebbian learning
Robust application identification methods for P2P and VoIP traffic classification in backbone networks
Multi-level cross-knowledge fusion with edge guidance for camouflaged object detection
Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models
Semi-supervised hybrid contrastive learning for PolSAR image classification
Knowledge-based system for rapid prototyping
Parameter-efficient target-specialized audio spectrogram transformers via selective cross-domain knowledge distillation
A polynomial algorithm for continuous non-binary disjunctive CSPs: extended DLRs
Discovering forward sequences from temporal data
An unsupervised approach for learning a Chinese IS-A taxonomy from an unstructured corpus
Role play: Learning adaptive role-specific strategies in multi-agent interactions
Exploiting temporal coherence for self-supervised visual tracking by using vision transformer
AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis
Robust two-dimensional PCANet with F-norm distance metric
Particle swarm optimization for trust relationship based social network group decision making under a probabilistic linguistic environment
DGC: Dynamic group behavior modeling that utilizes context information for group recommendation
A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier
Three computer-based models of storytelling: BRUTUS , MINSTREL and MEXICA
A quality driven Hierarchical Data Divisive Soft Clustering for information retrieval
Supervised feature selection through Deep Neural Networks with pairwise connected structure
Integrating radius margin constraints and class variance for improved CNN-based image recognition
Multiscale-attention masked autoencoder for missing data imputation of wind turbines
Hierarchical clustering algorithm for categorical data using a probabilistic rough set model
Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels
Short-sighted knowledge discovery in temporal transaction database via time pruning
Combining independent and joint spatial-angular information learning for light field image super-resolution
Link prediction based on higher-order structure extraction and autoencoder learning in directed networks
Dual-view hypergraph neural networks for attributed graph learning
Aspect-based sentiment analysis with attention-assisted graph and variational sentence representation
Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convolutional and improved Elman neural network
Fairness-aware feature selection: A causal path approach
Does intellectual capital matter? Assessing the performance of CPA firms based on additive efficiency decomposition DEA
Finite-time stabilization of memristor-based inertial neural networks with time-varying delays combined with interval matrix method
An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach
Can we improve meta-learning model in few-shot learning by aligning data distributions?
Dynamic evidential clustering algorithm
DSS-GCN: Augmented dynamic graph convolutional networks by semantic and syntactic dependencies for aspect-based sentiment analysis
A model and its different applications to case-based reasoning
GeoTree: Using spatial information for georeferenced video search
Collaborate SLM and LLM with latent answers for event detection
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern
A plug-and-play method for linguistic alignment in language models
Discovering process models for the analysis of application failures under uncertainty of event logs
A semantic approach to data translation: A case study of environmental observations data
Enhancing constraint programming via supervised learning for job shop scheduling
Advanced approach for mining utility occupancy patterns in incremental environment
Hybrid multi-encoder transformer and case-based reasoning for intelligent decision support in high-speed railway vehicle maintenance
Update of approximations in composite information systems
Fly-by-agent: Controlling a pool of UAVs via a multi-agent system
Learning target-focusing convolutional regression model for visual object tracking
Transfer learning for high-dimensional linear regression via the elastic net
HAM-Net: Predictive Business Process Monitoring with a hierarchical attention mechanism
Joint Topic-Semantic-aware Social Matrix Factorization for online voting recommendation
Prompt for extraction: Multiple templates choice model for event extraction
Argument comprehension and retrieval for editorial text
Sequential behavior prediction based on hybrid similarity and cross-user activity transfer
Corrigendum to "Coverage-based resampling: Building robust consolidated decision trees" [Knowledge-Based Systems 79(2015)51-67]
Semi-supervised evolutionary ensembles for Web video categorization
Multi-scale representation learning for heterogeneous networks via Hawkes point processes
CoRelatE: Learning the correlation in multi-fold relations for knowledge graph embedding
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
REB: Reducing biases in representation for industrial anomaly detection
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
Special issue on: Knowledge-Bases for Cognitive Infocommunications Systems (KBCICS)
Modeling the generative mechanism of personalized preferences from latent groups: A hierarchical nonparametric Bayesian method
Label enhancement-based feature selection via fuzzy neighborhood discrimination index
A probabilistic mixture-of-experts regression framework with structure-aware feature representation adaptation in GMM-guided posterior-weighted RVFL networks
An enhanced black widow optimization algorithm for feature selection
Integration of neural networks and expert systems for microscopic wear particle analysis
Multi-strategy ensemble binary hunger games search for feature selection
A unified and practical user-centric framework for explainable artificial intelligence
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning
Modularity-based approach for tracking communities in dynamic social networks
Unsupervised cluster analyses of character networks in fiction: Community structure and centrality
Computationally resurrecting the functional Remote Associates Test using cognitive word associates and principles from a computational solver
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism
Classification of triple extraction and RDF generation using boosted BERT fused attention convolutional Bi-directional LSTM with optimization
On efficient methods of computing attribute-value blocks in incomplete decision systems
Human-robot collaborative decision method of hexapod robot based on prior knowledge and negotiation strategy
Semantic-enhanced neural collaborative filtering models in recommender systems
Conversion-based aggregation algorithms for linear ordinal rankings combined with granular computing
Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy
An intuitionistic fuzzy graded covering rough set
Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm
Autoencoder-aided graph convolutional networks integrating multi-view and multi-scale for improving spatial domain identification
Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables
FedDHE: A dual entropy-driven framework for robust federated learning in heterogeneous environments
Asynchronous spiking neural P systems with rules on synapses and coupled neurons
Forecasting tourism demand based on empirical mode decomposition and neural network
Finding influential nodes in social networks based on neighborhood correlation coefficient
Synchronization clustering based on central force optimization and its extension for large-scale datasets
An empirical evaluation of similarity measures for time series classification
Combination of interval-valued belief structures based on intuitionistic fuzzy set
Evaluation of semantic relations impact in query expansion-based retrieval systems
Piecewise cloud approximation for time series mining
Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach
Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis
FEATS: knowledge representation and processing issues
Instance weighted SMOTE by indirectly exploring the data distribution
Toward truly intelligent information systems-from expert systems to automatic programming
An improved genetic approach for composing optimal collaborative learning groups
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Multi-level graph regularized robust multi-modal feature selection for Alzheimer's disease classification
Event and rule services for achieving a Web-based knowledge network
Short term load forecasting using a hybrid intelligent method
A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks
Information-gathering in latent bandits
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem
Detailed feature extraction network-based fine-grained face segmentation
Table detection for visually rich document images
Enhanced binary particle swarm optimization for mitigating pandemic spread through passenger air traffic management
Twin minimax probability extreme learning machine for pattern recognition
ETCD: An effective machine learning based technique for cardiac disease prediction with optimal feature subset selection
U-AEFA: Online and offline learning-based unified artificial electric field algorithm for real parameter optimization
A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution
Rethinking general time series analysis from a frequency domain perspective
MMRepAgent: Explainable stock earnings forecasting via multimodal report agent framework
MGCNet: Multiple group-wise correlation network with hierarchical contrastive learning for co-salient object detection
Snake Optimizer: A novel meta-heuristic optimization algorithm
NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification
A Structure-Feature Dynamic Decoupling GNN architecture for link prediction
A novel method for the modeling of the state of health of lithium-ion cells using machine learning for practical applications
Promoting the performance of vertical recommendation systems by applying new classification techniques
Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency
Semi-supervised classification via kernel low-rank representation graph
GLIMPSE: a knowledge-based front end for statistical analysis
CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features
DictPrompt: Comprehensive dictionary-integrated prompt tuning for pre-trained language model
Asynchronous production systems
Subspace alignment based on an extreme learning machine for electronic nose drift compensation
Learning task-relevant representations via rewards and real actions for reinforcement learning
Learning adaptive frequency-prompt denoising transformer for UAV nighttime tracking
Multi-label learning with kernel extreme learning machine autoencoder
Low-resolution image categorization via heterogeneous domain adaptation
A self-supervised learning model for graph clustering optimization problems
A cognitive approach for agent-based personalized recommendation
Robust Adaptive Denoising of color images with mixed Gaussian and impulsive noise
An effective optimization method for solving the relay coordination problem of the microgrids
Concept similarity in Formal Concept Analysis: An information content approach
Segmentary group-sparsity self-representation learning and spectral clustering via double L21 norm
Deep learning based continuous integration and continuous delivery software defect prediction with effective optimization strategy
Metaphor as a mechanism for reorganizing the type hierarchy
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
DGA-PSO: An improved detector generation algorithm based on particle swarm optimization in negative selection
An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems
Self-supervised category-enhanced graph neural networks for recommendation
Enhancing bug localization with bug report decomposition and code hierarchical network
Maximal-confirmation diagnoses
Revisiting data augmentation for subspace clustering
Explainable TabNet Transformer-based on Google Vizier Optimizer for Anomaly Intrusion Detection System
DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction
Learning continuation: Integrating past knowledge for contrastive distillation
Relations between granular reduct and dominance reduct in formal contexts
Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems
A local approach to rule induction in multi-scale decision tables