yusuke1997/dblp-id-title huggingface dataset:
An adaptive unscented Kalman filter -based method for RUL prediction via nonlinear degradation modeling
Partition and Learned Clustering with joined-training: Active learning of GNNs on large-scale graph
PNasFH-Net: Pyramid neural architecture search forward network for facial emotion recognition in uncontrolled and pose variant environment
Game team balancing by using particle swarm optimization
Enhanced multi-objective particle swarm optimisation for estimating hand postures
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique
Graph transformer-based self-adaptive malicious relation filtering for fraudulent comments detection in social network
Multi-scale broad collaborative filtering for personalized recommendation
Regularized minimax probability machine
SemIndex+ : A semantic indexing scheme for structured, unstructured, and partly structured data
An innovative hybrid air pollution early-warning system based on pollutants forecasting and Extenics evaluation
Fuzzy best-worst multi-criteria decision-making method and its applications
A classification-based review recommender
Aspect-Pair Supervised Contrastive Learning for aspect-based sentiment analysis
Rating-boosted abstractive review summarization with neural personalized generation
A novel robust prediction algorithm based on REMD-MWNN for AIOps
Detection of clouds in multiple wind velocity fields using ground-based infrared sky images
From t-closeness to differential privacy and vice versa in data anonymization
Density-sensitive fuzzy kernel maximum entropy clustering algorithm
Causal interest modeling and popularity bias mitigation in conversational recommender systems
Category relationship enhancement transformer for industrial defect segmentation
KDP-MHL: Key data point-aware multi-scale hypergraph learning framework for multivariate time series classification
A temporal-window framework for modelling and forecasting time series
Ranking influential spreaders based on both node k-shell and structural hole
Safe and effective post-fine-tuning alignment in large language models
Combining cross-modal knowledge transfer and semi-supervised learning for speech emotion recognition
An agnostic and efficient approach to identifying features from execution traces
Incomplete multi-view clustering with partially mapped instances and clusters
Kernel online learning algorithm with state feedbacks
Task-adaptive Asymmetric Deep Cross-modal Hashing
Knowledge discovery and data mining
Information fusion and numerical characterization of a multi-source information system
A novel robust support vector machine classifier with feature mapping
Learning to complement: Relation complementation network for few-shot class-incremental learning
Low-rank supervised and semi-supervised multi-metric learning for classification
Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data
Robust multi-view k-means clustering with outlier removal
VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection
Guest Editorial: Explainable artificial intelligence for sentiment analysis
Knowledge reconstruction assisted evolutionary algorithm for neural network architecture search
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
Contextual sentiment analysis for social media genres
CL-HOI: Cross-level human-object interaction distillation from multimodal large language models
Improving Bayesian optimization via hierarchical variation modeling for combinatorial experiments given limited runs guided by process knowledge
Interpreting sarcasm on social media using attention-based neural networks
Deep learning-enabled intelligent process planning for digital twin manufacturing cell
Active learning with extreme learning machine for online imbalanced multiclass classification
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification
Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework
TransUNet＋: Redesigning the skip connection to enhance features in medical image segmentation
Improving the performance of association classifiers by rule prioritization
A visual framework for dynamic emotional web analysis
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions
Making decisions: using Bayesian nets and MCDA
Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs
A cross-layer residual spiking neural network with adaptive threshold leaky integrate-and-fire neuron and learnable surrogate gradient
MSDiagnosis: A benchmark and framework for evaluating large language models in multi-step clinical diagnosis
Optimized high-dimensional memristive hopfield neural network for DoS attack detection in Mobile Adhoc Network
Multi-scale Joint Learning with Negative Sample Mining for Non-autoregressive Machine Translation
RGB-D visual object tracking with transformer-based multi-modal feature fusion
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
Efficient algorithms for finding the most desirable skyline objects
Coevolution modeling of group behavior and opinion based on public opinion perception
Dynamic classifier selection for one-class classification
A novel multiscale adaptive graph adversarial network for mechanical fault diagnosis
DVF:Multi-agent Q-learning with difference value factorization
Multi-view clustering guided by unconstrained non-negative matrix factorization
Learning discriminative topological structure information representation for 2D shape and social network classification via persistent homology
Dual-graph convolutional network based on band attention and sparse constraint for hyperspectral band selection
Instrument semiotics: a semiotic approach to interface components
RSDC-Net: Robust self-supervised dynamic collaboration network for infrared and visible image fusion
Matrix regression preserving projections for robust feature extraction
Word AdHoc Network: Using Google Core Distance to extract the most relevant information
Approaches to group decision making with intuitionistic fuzzy preference relations based on multiplicative consistency
A hybrid evolutionary algorithm based on tissue membrane systems and CMA-ES for solving numerical optimization problems
Low-light image enhancement via self-degradation-aware and semantic-perceptual guidance networks
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic preference relations
Robust cross-network node classification via constrained graph mutual information
Importance filtered soft label-based deep adaptation network
High-precision malware detection in android apps using quantum explainable hierarchical interaction network
Proximity-aware heterogeneous information network embedding
BioOntoVerb: A top level ontology based framework to populate biomedical ontologies from texts
Projection-Iterative-Methods-based Optimizer: A novel metaheuristic algorithm for continuous optimization problems and feature selection
A reliable ensemble based approach to semi-supervised learning
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning
Adaptive cost-aware Bayesian optimization
DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering
Causal inference-informed explainable selective weighted ensemble for predicting ultra-high-performance concrete compressive strength
Enhancing multi-modal document distillation with energy-weighted supervision
A semantic similarity measure for linked data: An information content-based approach
CSDFusion: Continuous knowledge trajectories for task-driven infrared and visible image fusion
Integrating User-Group relationships under interest similarity constraints for social recommendation
Parallel fish migration optimization with compact technology based on memory principle for wireless sensor networks
On the effectiveness of graph data augmentation for source code learning
A framework for mining CPS specification based on neural hybrid automata
Object tracking via a cooperative appearance model
K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm
An encoder-decoder switch network for purchase prediction
The role of artificial intelligence technologies in the implementation of People-Finder knowledge management systems
A bottlenose dolphin optimizer: An application to solve dynamic emission economic dispatch problem in the microgrid
Analyzing and evaluating dynamics in stide performance for intrusion detection
Guest editorial: Robust, explainable, and privacy-preserving deep learning
Semi-supervised cross-modal hashing with joint hyperboloid mapping
Generalisation Power Analysis for finding a stable set of features using evolutionary algorithms for feature selection
Change management in evolving web ontologies
From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition
Feature selection using data envelopment analysis
Enabling the interpretability of pretrained venue representations using semantic categories
Designing a knowledge-based system for benchmarking: A DEA approach
SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis
On the monotone sum of basic t-norms in the construction of parametric families of digital conjunctors for fuzzy systems with reconfigurable logic
Control and optimization of human perception on virtual garment products by learning from experimental data
Neural network demand models and evolutionary optimisers for dynamic pricing
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms
Relational reasoning networks
Effective hierarchical clustering based on structural similarities in nearest neighbor graphs
MP-DUN : Manifold prior based deep unfolding network for image compressed sensing
Markdown optimization for an apparel retailer under cross-price and initial inventory effects
Big data time series forecasting based on nearest neighbours distributed computing with Spark
FedAGHN: Personalized federated learning with attentive graph hypernetworks
Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation
An efficient method for mining high occupancy itemsets based on equivalence class and early pruning
Mitigating backdoor attacks in Federated Learning based intrusion detection systems through Neuron Synaptic Weight Adjustment
MagicGAN: Multiagent Attacks Generate Interferential Category via GAN
An ensemble extended belief rule base decision model for imbalanced classification problems
Classifier chains for positive unlabelled multi-label learning
Privacy preserving service selection using fully homomorphic encryption scheme on untrusted cloud service platform
Knowledge management fit and its implications for business performance: A profile deviation analysis
Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering
A Hard Knowledge Regularization Method with Probability Difference in Thorax Disease Images
Active deep learning on entity resolution by risk sampling
Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals
A fast robust best subset regression
Two-stage label distribution learning with label-independent prediction based on label-specific features
A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition
Comprehensive minimum cost models for large scale group decision making with consistent fuzzy preference relations
Some knowledge-acquisition methods for prospector-like systems
Integration of scientific data and formulae in an object-oriented knowledge-based system
Multiple attribute group decision making based on nucleolus weight and continuous optimal distance measure
Visualizing Semantic Web proofs of defeasible logic in the DR-DEVICE system
Improving quaternion neural networks with quaternionic activation functions
Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer
Deep collaborative learning with class-rebalancing for semi-supervised change detection in SAR images
Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting
Memristive KDG-BNN: Memristive binary neural networks trained via knowledge distillation and generative adversarial networks
Simultaneous Laplacian embedding and subspace clustering for incomplete multi-view data
AMFF: A new attention-based multi-feature fusion method for intention recognition
DAMF: A semantic-guided dynamic attention framework for visual-haptic-textual multimodal fusion
Exploration of polytomous-attribute Q-matrix validation in cognitive diagnostic assessment
Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation
Recommending the long tail items through personalized diversification
TEII: Topic enhanced inverted index for top-k document retrieval
RDERL: Reliable deep ensemble reinforcement learning-based recommender system
GAPrompt: A soft prompt compression model for few-shot relation extraction
Context-aware graph-based recommendations exploiting Personalized PageRank
SFAD: Toward effective anomaly detection based on session feature similarity
LiteRef: A software system for managing the knowledge of research literature
Feature selection in corporate credit rating prediction
Combining symbolic classifiers from multiple inducers
Mathematical model and augmented simulated annealing algorithm for mixed-model assembly job shop scheduling problem with batch transfer
Concept classifier for knowledge acquisition in frame-based systems
Accelerating bio-inspired optimizer with transfer reinforcement learning for reactive power optimization
A fast parallel modularity optimization algorithm (FPMQA) for community detection in online social network
Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models
Tensor self-representation network for subspace clustering via alternating direction method of multipliers
Online learning the consensus of multiple correspondences between sets
Analyzing the effect of website information flow on realistic human flow using intelligent decision models
Exploiting information extraction techniques for automatic semantic video indexing with an application to Turkish news videos
Computing force field-based directional maps in subquadratic time
Beyond homophily: Adaptive cross-frequency convolution for hypergraph learning
HierarT: Multi-hop temporal knowledge graph forecasting with hierarchical reinforcement learning
Negotiation in collaborative activity: an implementation experiment
Knowledge graph embedding with self adaptive double-limited loss
PVA-BLS: Polynomial vector autoregression broad learning system for multivariate time series prediction
OAFN: An efficient open-world audio few-shot learning network for event classification
Towards a communication model applied to the interface design process
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
Fuzzy clustering based on feature weights for multivariate time series
RIB: A Robust Itemset-based Bayesian approach to classification
Evolutionary multitasking cooperative transfer for multiobjective hyperspectral sparse unmixing
A new approach to the rule-base evidential reasoning in the intuitionistic fuzzy setting
Optimized anti-interference dynamic integral neural network approach for dementia prediction in health care
Enhancing human-Machine interaction with artificial intelligence and knowledge-Model techniques for query performance and response filtering
An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions
Constrained multi-objective evolutionary algorithm with an improved two-archive strategy
REAL: Representation enhanced analytic learning for exemplar-free class-incremental learning
Enhancing Transformer-based language models with commonsense representations for knowledge-driven machine comprehension
Task-incremental broad learning system for multi-component intelligent fault diagnosis of machinery
A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously
Computational support for collective creativity
D2Fusion: Dual-domain feature decoupling for infrared and visible image fusion
On improving parsing with automatically acquired semantic classes
25 years at Knowledge-Based Systems: A bibliometric analysis
Anchor graph based connectivity peaks clustering
A process algebra to formalize the Lyee methodology
An efficient fuzzy weighted average algorithm for the military UAV selecting under group decision-making
Diacritics generation and application in hate speech detection on Vietnamese social networks
Promoting active learning with mixtures of Gaussian processes
A multi-view subspace representation learning approach powered by subspace transformation relationship
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
Integrating human learning and reinforcement learning: A novel approach to agent training
DC Neural Networks avoid overfitting in one-dimensional nonlinear regression
S-Trans: Semantic transformation of XML healthcare data into OWL ontology
Certificateless anti-quantum ring signcryption for network coding
TaxonPrompt: Taxonomy-aware curriculum prompt learning for few-shot event classification
A transformer based visual tracker with restricted token interaction and knowledge distillation
Fuzzy logic applied to opinion mining: A review
Petri net ontology
Automatic question generation with various difficulty levels based on knowledge ontology using a query template
Knowledge representation of mathematical optimization problems and constructs for modeling
An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts
Fusing YOLOv5s-MediaPipe-HRV to classify engagement in E-learning: From the perspective of external observations and internal factors
Crop-paste and diffusion-based semi-supervised segmentation network for metal defect detection
A decision-making model with sequential incomplete additive pairwise comparisons
PDN-MVSNet: A texture-prior-informed multi-view stereo network for weak-texture reconstruction
Systematic mapping study on granular computing
CAPKM++2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm
A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines
Detecting mismatches among experts' ontologies acquired through knowledge elicitation
Stacking ensemble model of deep learning and its application to Persian/Arabic handwritten digits recognition
Limited-resource scheduling by generalized rule-based system
Comparison and links between two 2-tuple linguistic models for decision making
LKASR: Large kernel attention for lightweight image super-resolution
Holistic Graph Neural Networks based on a global-based attention mechanism
High-accuracy health prediction of sensor systems using improved relevant vector-machine ensemble regression
A semi-decentralized feudal multi-agent learned-goal algorithm for multi-intersection traffic signal control
Multiple instance relation graph reasoning for cross-modal hash retrieval
Discovering fuzzy association rules using fuzzy partition methods
Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules
Dictionary learning using novel multiscale context sensitive spectral features for classification of hyperspectral imagery
Node deletion-based algorithm for blocking maximizing on negative influence from uncertain sources
Data-driven fault diagnosis for wind turbines using modified multiscale fluctuation dispersion entropy and cosine pairwise-constrained supervised manifold mapping
Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making
SelfDN: Adaptive Self-Denoising for multi-view 3D object detection
C 2 -MUDA: Frequency-guided unsupervised domain adaptation with prototype-aware contrastive learning for cross-modality and cross-disease brain lesion segmentation
Intermediate triple table: A general architecture for virtual knowledge graphs
Deep convolutional neural networks for thermal infrared object tracking
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment
Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning
SABV-Depth: A biologically inspired deep learning network for monocular depth estimation
Multi-objective Optimization of Sampling Locations for Source Detection of Antibiotic-resistant Genes in Hydrosystems
An intensification-driven search algorithm for the family traveling salesman problem with incompatibility constraints
Learning compact yet accurate Generative Adversarial Networks for recommender systems
Self-supervised representation learning for trip recommendation
Ensembles of localised models for time series forecasting
Financial ratio selection for business failure prediction using soft set theory
Preserving bilateral view structural information for subspace clustering
3D residual-attention-deep-network-based childhood epilepsy syndrome classification
Predicting pipeline leakage in petrochemical system through GAN and LSTM
Graph Fusion Network for Text Classification
Fuzzy SOM-based Case-Based Reasoning for individualized situation recognition applied to supervision of human operators
Item-based collaborative ranking
Use of Elvira's explanation facility for debugging probabilistic expert systems
Rough set extension of Tcl for data mining
Hybrid multi-model forecasting system: A case study on display market
Domain Invariant and Agnostic Adaptation
Learning fuzzy semantic cell by principles of maximum coverage, maximum specificity, and maximum fuzzy entropy of vague concept
A coarse-to-fine collective entity linking method for heterogeneous information networks
Human-machine dialogue modelling with the fusion of word- and sentence-level emotions
Pre-training local and non-local geographical influences with contrastive learning
Reducing consistency checks in generating corrective explanations for interactive constraint satisfaction
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
Parameter-efficient image-to-video transfer learning for long-term visual place recognition
Geometric interpretation of efficient weight vectors
Bilingual recursive neural network based data selection for statistical machine translation
Temporal action detection in videos with generative denoising diffusion
A parallel variable neighborhood search algorithm with quadratic programming for cardinality constrained portfolio optimization
Notation and nature of task in comprehending design rationale
A light heterogeneous graph collaborative filtering model using textual information
Off-line recognition of handwritten Arabic words using multiple hidden Markov models
Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease
A partial correlation-based Bayesian network structure learning algorithm under linear SEM
Building and exploiting spatial-temporal knowledge graph for next POI recommendation
Effect of frequency-dependent test length on prediction performance in monthly/quarterly time series analysis