yusuke1997/dblp-id-title huggingface dataset:
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
EGNN: Constructing explainable graph neural networks via knowledge distillation
An agent-based approach to ANN training
Consensus model for multiple criteria group decision making under intuitionistic fuzzy environment
Intrinsic structure exploitation with dual alignment for universal visual recognition
User intimacy model for question recommendation in community question answering
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
Web service publishing and composition based on monadic methods and program slicing
Hierarchical anonymization algorithms against background knowledge attack in data releasing
A methodology for controlling the information quality in interval-valued fusion processes: Theory and application
Music composition as hypothesis formation: a blackboard concept of musical creativity
An efficient state-aware Coarse-Fine-Grained model for Knowledge Tracing
Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms
General purpose inference engine for canonical graph models
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making
Graph and text multi-modal representation learning with momentum distillation on Electronic Health Records
Attention guided multi-wavelet adversarial network for cross domain fault diagnosis
Probabilistic partial person embedding for visible-infrared person re-identification with twin noise labels
Towards competent information acquisition interactions between an expert system and its user
Memetic algorithm based location and topic aware recommender system
ITRE: Low-light image enhancement based on illumination transmission ratio estimation
On the interpretability of Fuzzy Cognitive Maps
Score distillation for anomaly detection
Predicting personalized grouping and consumption: A collaborative evolution model
Generating complete set of implications for formal contexts
Trustworthy knowledge distillation via anchor-guided distribution learning
SDRNet: Camouflaged object detection with independent reconstruction of structure and detail
Understanding the robustness of graph neural networks against adversarial attacks
Constrained Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using hyperparameter optimization
Locality constrained representation-based K-nearest neighbor classification
A novel socio-pragmatic framework for sentiment analysis in Dravidian-English code-switched texts
A key elements influence discovery scheme based on ternary association graph and representation learning
TEQA: Temporal knowledge graph enhanced question answering
Development of an enhanced heart attack diagnosis model using knowledge distillation and frequent sequence pattern mining
Fault detection algorithm for logic programs
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale
Multi-attention concept-cognitive learning model: A perspective from conceptual clustering
Instance-based weighting filter for superparent one-dependence estimators
Technologies of internet of things adoption difficulties in enterprises based on an integrated decision-making technique
Occluded human pose estimation based on part-aware discrete diffusion priors
Comparison of deep learning approaches for forecasting urban short-term water demand a Greater Sydney Region case study
A new marketing strategy map for direct marketing
Optimizing the echo state network with a binary particle swarm optimization algorithm
A shape-guided deep residual network for automated CT lung segmentation
Belief rule-based inference for predicting trauma outcome
Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform
Deep semi-supervised learning with contrastive learning and partial label propagation for image data
The connections between three-way and classical concept lattices
Preface for the special issue: Uncertainty modeling and analytics in knowledge engineering
Prediction of the driver's focus of attention based on feature visualization of a deep autonomous driving model
Ranking interval sets based on inclusion measures and applications to three-way decisions
A novel deep cognitive network for battlefield situation awareness in wargaming
Functional grouping of natural language requirements for assistance in architectural software design
Story plot generation based on CBR
An accuracy-maximization learning framework for supervised and semi-supervised imbalanced data
Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Fine-grained recognition: Multi-granularity labels and category similarity matrix
An improvement to the interval type-2 fuzzy VIKOR method
Spain on fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information
MF2POSE: Multi-task Feature Fusion Pseudo-Siamese Network for intrusion detection using Category-distance Promotion Loss
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email
Dual-track feedback aggregation recommendation model for programming training
A weight-incorporated similarity-based clustering ensemble method based on swarm intelligence
FDC-Swap: An efficient face swapping framework based on feature disentangling consistency
Landmark-based graph convolutional neural network for interpretable catheter malposition detection
Fuzzy Bayes risk based on Mahalanobis distance and Gaussian kernel for weight assignment in labeled multiple attribute decision making
Spreading semantic information by Word Sense Disambiguation
Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm
Prediction of wind turbine blade icing fault based on selective deep ensemble model
Robustness enhancement of deep reinforcement learning-based traffic signal control model via structure compression
Toward lightweight image super-resolution via re-parameterized kernel recalibration
A knowledge distillation-based deep interaction compressed network for CTR prediction
Evidential classifier for imprecise data based on belief functions
EAEFA-R: Multiple learning-based ensemble artificial electric field algorithm for global optimization
Dynamic threshold neural P systems
A new approach of attribute partial order structure diagram for word sense disambiguation of English prepositions
Special issue on "Advances in fuzzy knowledge systems: Theory and application"
Ensembling disentangled domain-specific prompts for domain generalization
AMRAPALIKA: An expert system for the diagnosis of pests, diseases, and disorders in Indian mango
Knowledge based requirement engineering for one-of-a-kind complex systems
An accelerated stochastic variance-reduced method for machine learning problems
COSDA: Covariance regularized semantic data augmentation for self-supervised visual representation learning
A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data
FPC: Filter pruning via the contribution of output feature map for deep convolutional neural networks acceleration
Learning to discover anomalous spatiotemporal trajectory via Open-world State Space model
A Location-Item-Time sequential pattern mining algorithm for route recommendation
Towards consistency of rule-based explainer and black box model - Fusion of rule induction and XAI-based feature importance
An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction
Unsupervised feature selection via low-rank approximation and structure learning
An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies
Image classification based on enhanced learning of global and local features with structural priors
An integrated parallel big data decision support tool using the W-CLUS-MCDA: A multi-scenario personnel assessment
Automatic modulation classification using fractional S-transform and semi-supervised learning with confidence-guided consistency regularization
An explainable segmentation decision tree model for enhanced decision support in roundwood sorting
An immune inspired multi-agent system for dynamic multi-objective optimization
AGCI2L: Adversarial Graph Contrastive Information Invariant Learning
Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation
A robust low-pass filtering graph diffusion clustering framework for hyperspectral images
Mining fuzzy specific rare itemsets for education data
Knowledge-based system for text classification using ID6NB algorithm
Improving game bot behaviours through timed emotional intelligence
UIPBC: An effective clustering for scRNA-seq data analysis without user input
A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification
Dendritic neuron model trained by information feedback-enhanced differential evolution algorithm for classification
An efficient strategy for mining high-efficiency itemsets in quantitative databases
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
Generalized Universal Domain Adaptation
CogAware: Cognition-Aware framework for sentiment analysis with textual representations
PBC4cip: A new contrast pattern-based classifier for class imbalance problems
An effective ensemble pruning algorithm based on frequent patterns
DD-NeuS: Dense depth self-supervised neural surface reconstruction from few images
Knowledge represented by mathematical models for fault diagnosis in chemical processing units
A kernel based learning method for non-stationary two-player repeated games
A syntactical approach for interpersonal trust prediction in social web applications: Combining contextual and structural data
Research and development project risk assessment using a belief rule-based system with random subspaces
N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals
Knowledge reduction methods of covering approximate spaces based on concept lattice
DESAMC+DocSum: Differential evolution with self-adaptive mutation and crossover parameters for multi-document summarization
Learning spatial-channel feature refiners via wavelet-based linear mixed basis for low-light image enhancement
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph
Verification of integrity of deployed deep learning models using Bayesian Optimization
ACP-Net: Asymmetric Center Positioning Network for Real-Time Text Detection
The design and implementation of AspectC++
Interpretable machine learning with an ensemble of gradient boosting machines
scDD: scRNA-seq dataset distillation in latent codes with single-step conditional diffusion generator
Repairing mappings across biomedical ontologies by probabilistic reasoning and belief revision
Co-saliency guided multi-modal learning for referring video object segmentation
Weight-aware tasks for evaluating knowledge graph embeddings
A computational model for developing semantic web-based educational systems
Cross-modality disentanglement and shared feedback learning for infrared-visible person re-identification
Bi-objective optimization for integrating quay crane and internal truck assignment with challenges of trucks sharing
Comparisons of probabilistic linguistic term sets for multi-criteria decision making
Hybrid genetic model for clustering ensemble
Squashing activation functions in benchmark tests: Towards a more eXplainable Artificial Intelligence using continuous-valued logic
EADOD: Ensemble adversarial defense via orthogonal distillation
Safety justification of train movement dynamic processes using evidence theory and reference models
Developing new machine learning ensembles for quality spine diagnosis
PulseNet: A multitask learning network for remote heart rate estimation
A lightweight object detection method based on fine-grained information extraction and exchange in UAV aerial images
Image super-resolution via adaptive sparse representation
slr-kit: A semi-supervised machine learning framework for systematic literature reviews
Multi-granular legal information fusion with adversarial compensation: A hierarchical and logic-aware framework for robust case retrieval
Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation
On multi-period multi-attribute decision making
Predict, pretrained, select and answer: Interpretable and scalable complex question answering over knowledge bases
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning
Manifold regularized tensor completion with low-rank Tucker factor prior for hyperspectral image recovery
POMM: A public opinion management model integrating network game and opinion dynamics for social networks
Emphasizing personal information for Author Profiling: New approaches for term selection and weighting
A method of automatically generating initial parameters for large-scale belief rule base
A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis
Spatial concept learning and inference on geospatial polygon data
Semi-supervised classification on data streams with recurring concept drift and concept evolution
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features?
Factors influencing the adoption of Enterprise Social Software in Australia
Planning with actively eliciting preferences
Toward a new software development environment
Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety
A comprehensive exploration of semantic relation extraction via pre-trained CNNs
A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
A novel feature separation model exchange-GAN for facial expression recognition
Adaptive random tree ensemble for evolving data stream classification
A new distance-based total uncertainty measure in the theory of belief functions
Implementing ECA rules in an active database
Language features in extractive summarization: Humans Vs. Machines
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm
Variance reduced optimization with implicit gradient transport
Modeling and optimization control of networked evolutionary games with heterogeneous memories and switched topologies
Real-time encryption of medical images in IoMT using a novel biometric and chaotic approach
Risk-informed knowledge-based design for road infrastructure in an extreme environment
PPTformer: A novel hybrid model for enhanced long-term time series forecasting with extreme value focus
Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR
A deep echo-like spiking neural P systems for time series prediction
Novel feature selection method based on harmony search for email classification
Relations of attribute reduction between object and property oriented concept lattices
HITS-based attentional neural model for abstractive summarization
Conditioning of deep-learning surrogate models to image data with application to reservoir characterization
Deep membrane systems for multitask segmentation in diabetic retinopathy
An enhancement deep feature fusion method for rotating machinery fault diagnosis
One-class support vector classifiers: A survey
Unleashing powerful generalization for point cloud registration
An adaptive integral separated proportional-integral controller based strategy for particle swarm optimization
Online Active Proposal Set Generation for weakly supervised object detection
Decision making with a sequential modeling of pairwise comparison process
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment
Robust neighborhood embedding for unsupervised feature selection
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding
Higher-order GNN with Local Inflation for entity alignment
Fair Transition Loss: From label noise robustness to bias mitigation
Multi-view driven and modality-adaptive model for emotion recognition in conversation
Scenario analysis using Bayesian networks: A case study in energy sector
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy
Combining transformer-based model and GCN to predict ICD codes from clinical records
Improving teaching-learning-based-optimization algorithm by a distance-fitness learning strategy
SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications
Multimodal optimization via dynamically hybrid niching differential evolution
Parsilo-CDR: Privacy-aware cross-domain recommendation for data silo
Auto-StyleMixer: A universal adaptive N-to-One framework for cross-domain data augmentation
Hierarchical accumulation network with grid attention for image super-resolution
FMAP: A platform for the development of distributed multi-agent planning systems
A robust deep feature learning approach for personalized residential electricity plan recommendation
A large scale consensus reaching process managing group hesitation
Twofold consensus for boundary detection ground truth
Large group emergency decision-making method with linguistic risk appetites based on criteria mining
Deep reinforcement learning in recommender systems: A survey and new perspectives
A cross-modal clinical prediction system for intensive care unit patient outcome
Reinforcement learning for addressing the cold-user problem in recommender systems
Customer service chatbot enhancement with attention-based transfer learning
DeepCBD: Hybrid deep learning fusion models for differential diagnosis of corticobasal degeneration in atypical versus typical parkinsonism
Multi-task learning for virtual flow metering
Subspace clustering by directly solving Discriminative K-means
Enhancing information fusion and feature selection efficiency via the PROMETHEE method for multi-source dynamic decision data sets
Deep internally connected transformer hashing for image retrieval
Creating knowledge maps by exploiting dependent relationships
A structural consensus representation learning framework for multi-view clustering
FireDM: A weakly-supervised approach for massive generation of multi-scale and multi-scene fire segmentation datasets
A novel three-stage matheuristic for the capacitated minimum spanning tree problem with time windows
Developing a hybrid intelligent model for forecasting problems: Case study of tourism demand time series
AI software development tools
Deep matched filtering for retinal vessel segmentation
Information access in context
Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization
Some issues on the OWA aggregation with importance weighted arguments
Inter-structure and intra-semantics graph contrastive learning for disease prediction
D-STANet: A delay-enhanced spatio-temporal attention network for traffic prediction
Deep image clustering by fusing contrastive learning and neighbor relation mining
Multistrategy boosted multicolony whale virtual parallel optimization approaches
Toward Transformer-compatible multivariate time series learning via visibility graph-based structural encoding
Exhaustive simulation of consecutive mental states of human agents
Structural twin support vector machine for classification
GeDa: Improving training data with large language models for Aspect Sentiment Triplet Extraction
Cross self-attention network for 3D point cloud
Optical images-based edge detection in Synthetic Aperture Radar images
BECKEY: Understanding, comparing and discovering keys of different semantics in knowledge bases
Intelligent decision making for service providers selection in maintenance service network: An adaptive fuzzy-neuro approach
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method
Multi-label feature selection with constraint regression and adaptive spectral graph
Graph augmentation for node-level few-shot learning
Mining high utility itemsets using extended chain structure and utility machine
Knowledge-based systems: special issue on CyberDesign
Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality
Elicitation criterions for restricted intersection of two incomplete soft sets
A novel data-driven input shaping method using residual impulse vector via unscented Kalman filter
Extended adaptive Lasso for multi-class and multi-label feature selection
Neural Logic Circuits: An evolutionary neural architecture that can learn and generalize
Attribute selection based on a new conditional entropy for incomplete decision systems
Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems
GAN-based statistical process control for the time series data
A novel KG-based recommendation model via relation-aware attentional GCN
CLSEP: Contrastive learning of sentence embedding with prompt
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry
Combining granular computing technique with deep learning for service planning under social manufacturing contexts
A study on the classified model and the agent collaboration model for network configuration fault management
Mainframe-based KEE system development
Duality and pseudo duality of dual disjunctive normal forms
Self-paced learning enhanced neural matrix factorization for noise-aware recommendation
A novel image retrieval model based on the most relevant features
UniMedX: A Unified Kolmogorov-Arnold Theory Guided Framework for Interpretable Medical Image Classification and Segmentation
Adaptive and Priority-Based Data Aggregation and Scheduling Model for Wireless Sensor Network
Referent graph embedding model for name entity recognition of Chinese car reviews
Inclusivity induced adaptive graph learning for multi-view clustering
Heterogenous affinity graph inference network for document-level relation extraction
Chat-MedGen: omni-adaptation of multi-modal large language models for diverse biomedical tasks
Weakly-supervised sentence-based aspect category and sentiment classification
Autonomous anomaly detection for streaming data
A deep learning model to effectively capture mutation information in multivariate time series prediction
Speciation relations-inspired adaptive node aggregation and data reasoning in Sparse Mobile Crowdsensing
Efficient incremental dynamic link prediction algorithms in social network
Improving complex knowledge base question answering via structural information learning
CABiLSTM-BERT: Aspect-based sentiment analysis model based on deep implicit feature extraction
Customer preferences extraction for air purifiers based on fine-grained sentiment analysis of online reviews
A hybrid model for low-resource language text classification and comparative analysis
PADetBench: Towards benchmarking texture- and patch-based physical attacks against object detection
Benchmark construction and experimental evaluations for incoherent ontologies
ERN: An edge reconstruction network for image super-resolution diffusion model
Arrhythmia detection in multi-channel ECG images: vision transformer and explainable approaches
A financial early warning logit model and its efficiency verification approach
DAM: Transformer-based relation detection for Question Answering over Knowledge Base
Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss
Locality-constrained least squares regression for subspace clustering