yusuke1997/dblp-id-title huggingface dataset:
RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models
Risk analysis in information systems: A fuzzification of the MAGERIT methodology
Mixed data-driven sequential three-way decision via subjective-objective dynamic fusion
Overlapping community-based malicious user detection scheme in social networks
Partial multi-label learning via semi-supervised subspace collaboration
An improved symbiotic organisms search algorithm for higher dimensional optimization problems
Smooth diffusion model for multimodal recommendation
Multi-dimensional fairness for auction-based resource allocation
Taxonomy-guided routing in capsule network for hierarchical image classification
A case study on a hybrid wind speed forecasting method using BP neural network
Automatic medical report generation combining contrastive learning and feature difference
Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor
An approach to compute user similarity for GPS applications
Facilitated low-rank multi-view subspace clustering
Mining activation force defined dependency patterns for relation extraction
Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration
MISMIS - A comprehensive decision support system for stock market investment
Semantic similarity controllers: On the trade-off between accuracy and interpretability
A Meta-learning approach for recommending the number of clusters for clustering algorithms
Improving audio embeddings with squeeze-and-excitation: Introducing SaEENet
Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach
Deep self-weighted multi-view fuzzy clustering
Grounding proposition stores for question answering over linked data
Multi-scale feature reconstruction network for industrial anomaly detection
Towards finding the lost generation of autistic adults: A deep and multi-view learning approach on social media
Local graph based correlation clustering
Learning domain invariant unseen features for generalized zero-shot classification
Causal reasoning meets heuristic strategies: enhancing RAG through fine-tuning and knowledge interaction
Structural fragmentation in scene graphs
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery
Strategy for integrating object-oriented and logic programming
Temporal landmark graphs for solving overconstrained planning problems
An automated intrusion detection system in IoT system using Attention based Deep Bidirectional Sparse Auto Encoder model
Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning
Enhancing emotion inference in conversations with commonsense knowledge
Two-stage natural scene image classification with noise discovering and label-correlation mining
Learning data teaching strategies via knowledge tracing
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution
W-Infer-polation: Approximate reasoning via integrating weighted fuzzy rule inference and interpolation
DMF2Net: Dynamic multi-level feature fusion network for heterogeneous remote sensing image change detection
DeSGOA: double exponential smoothing gazelle optimization algorithm-based deep learning model for blind source separation
Applying the learning rate adaptation to the matrix factorization based collaborative filtering
Cost-sensitive classification with respect to waiting cost
A framework for stock selection via concept-oriented attention representation in hypergraph neural network
Implementing Lyee-Calculus in Java
An axiomatic model for concept structure description and its application to circuit design
Capturing latent evolution in dynamic graph: A dual-view architecture from spectral perspective
An enhanced trust propagation approach with expertise and homophily-based trust networks
Special issue on verification and validation
Multi-granularity graph reasoning for semantic entity recognition in maritime fault knowledge extraction
Boundary-constrained interpretable image reconstruction network for deep compressive sensing
ORONER: An Ontology for Representing interOrganizational Networks Resilience. A building block towards adaptive network reconfiguration
Centrality measure in social networks based on linear threshold model
A semantic SLAM-based method for navigation and landing of UAVs in indoor environments
Evaluating the utility and usability of an adaptive hypermedia system
Cluster sequence mining from event sequence data and its application to damage correlation analysis
A rough set approach to feature selection based on power set tree
Faithful Counterfactual Visual Explanations (FCVE)
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity
Manifold embedded joint geometrical and statistical alignment for visual domain adaptation
Sparse Bayesian approach for metric learning in latent space
Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction
An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget
Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators
Tourist group itinerary design: When the firefly algorithm meets the n-person Battle of Sexes
Learning effective feature representation for video object segmentation via memory
Construction of a fuzzy controller through width adaptation
Negative label-Aware and correlation-Enhanced multi-Label feature selection
A smoothing Group Lasso based interval type-2 fuzzy neural network for simultaneous feature selection and system identification
Robust image watermarking towards iPhone intelligent matting and social platform sharing
A novel adaptive image zooming method based on nonlocal Cahn-Hilliard equation
Robust and label efficient bi-filtering graph convolutional networks for node classification
Modeling the knowledge-flow view for collaborative knowledge support
Univariate and Multivariate Time Series Manifold Learning
Global subclass discriminant analysis
Bayesian robust multi-extreme learning machine
Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems
A multifaceted approach to detect gender biases in Natural Language Generation
Sliced Wasserstein weighted multimodal mambavision for emotion recognition
Deep model with neighborhood-awareness for text tagging
DDGformer: Direction- and distance-aware graph transformer for traffic flow prediction
The ɛ-constraint as a learning strategy in the population-based algorithm: The case of Bi-Objective Obnoxious p-Median Problems
Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit
Sequential contrastive learning for progressive knowledge tracing
Corrigendum to "Exploring the strategy to improve senior citizens' participations on recreational sports" [Knowledge-Based Syst. 26 (2012) 86-92]
Multi-objective spotted hyena optimizer: A Multi-objective optimization algorithm for engineering problems
Using J -pruning to reduce overfitting in classification trees
DCSSGA-UNet: Biomedical image segmentation with DenseNet channel spatial and Semantic Guidance Attention
Minimum class variance multiple kernel learning
Robust learning of large-scale fuzzy cognitive maps via the lasso from noisy time series
Joint multimodal entity-relation extraction based on temporal enhancement and similarity-gated attention
Multiple attribute consensus rules with minimum adjustments to support consensus reaching
InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification
A safe reinforcement learning algorithm for supervisory control of power plants
Fault diagnosis in rotating machines based on transfer learning: Literature review
Diagnostic expert system inference engine based on the certainty factors model
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
Context aware Markov chains models
Model-centric transfer learning framework for concept drift detection
Scale adaption-guided human face detection
Hybrid spatio-temporal graph neural network with attention fusion for traffic flow prediction
Aligning ontologies with subsumption and equivalence relations in Linked Data
Meta-path infomax joint structure enhancement for multiplex network representation learning
Residual shrinkage transformer relation network for intelligent fault detection of industrial robot with zero-fault samples
From text to knowledge graph: Enhancing arabic legal research with FaCitaGraphAR and AraBERT-driven citation recognition
Multi-agent collaboration for B2B workflow monitoring
Improving the transferability of adversarial examples through semantic-mixup inputs
Modular design of a hybrid genetic algorithm for a flexible job-shop scheduling problem
L1 model-driven recursive multi-scale denoising network for image super-resolution
AdvSpoofGuard: Optimal transport driven robust face presentation attack detection system
On the performance improvement of elephant herding optimization algorithm
DiR-Net: A diagnostic and iterative rectification network for cross-modal 3D object detection
FNC: A fast neighborhood calculation framework
Principal Components Analysis Random Discretization Ensemble for Big Data
Modeling discourse in collaborative work support systems: A knowledge representation and configuration perspective
Intuition meets analytics: Reasoning implicit aspect-based sentiment quadruplets with a dual-system framework
Advancing generalizations of multi-scale GAN via adversarial perturbation augmentations
FishDetectLLM: Multimodal instruction tuning with large language models for fish detection
Using dynamic knowledge graphs to detect emerging communities of knowledge
Designing as reflective conversation with the materials of a design situation
Distortion information and edge features guided network for real-world image restoration
Multi-agent deep reinforcement learning for hyperspectral band selection with hybrid teacher guide
An improved simplified swarm optimization
A novel sequential three-way decisions model based on penalty function
A comparative study on rough set based class imbalance learning
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient
An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features
Seeking optimal and explainable deep learning models for inertial-based posture recognition
Aggregation of web search engines based on users' preferences in WebFusion
Detecting feature influences to quality attributes in large and partially measured spaces using smart sampling and dynamic learning
ESNet: An Efficient Skeleton-guided Network for camouflaged object detection
LLM-enhanced multi-level knowledge distillation for molecular property prediction
A novel feature selection method for twin support vector machine
A software architecture for distributed organization management
Common framework for the evaluation process of KBS and conventional software
A Sinh Cosh optimizer
CNN-FS-IFuzzy: A new enhanced learning model enabled by adaptive tumor segmentation for breast cancer diagnosis using 3D mammogram images
A self-supervised infrared image denoising method based on cycle reconstruction swapping training mechanism
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
Integrating failure prediction models for water mains: Bayesian belief network based data fusion
Adaptive weighting-guided dual-level contrastive learning for multi-view clustering
Dominance intensity measuring methods in MCDM with ordinal relations regarding weights
Network representation learning via improved random walk with restart
A novel s-box generation method based on metastable inducing over FPGA for block ciphers
Diverse local facial behaviors learning from enhanced expression flow for microexpression recognition
Bibliometric analysis of fuzzy theory research in China: A 30-year perspective
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy
Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem
LLM-LADE: Large language model-based log anomaly detection with explanation
Fast and reliable inference of semantic clusters
Multi-label ECG diagnosis via adversarial view decoupling and hierarchical label constraints
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
Virtual regularized bipartite graph learning for multi-view subspace clustering
DF-Miner: Domain-specific facet mining by leveraging the hyperlink structure of Wikipedia
Insights into tolerability constraints in multi-criteria decision making: Description and modeling
Uncertainty handling in semantic reasoning for accurate context understanding
TF-Attack: Transferable and fast adversarial attacks on large language models
A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection
Subspace clustering using a symmetric low-rank representation
Generalization effect of quantifiers in a classification based on relational concept analysis
ERGM: A multi-stage joint entity and relation extraction with global entity match
Subspace clustering based on alignment and graph embedding
User preference modeling based on meta paths and diversity regularization in heterogeneous information networks
GMDH-based semi-supervised feature selection for customer classification
A parametrized approach for linear regression of interval data
Exploring reliable infrared object tracking with spatio-temporal fusion transformer
Imputation of missing data with neural networks for classification
An efficient instance selection algorithm to reconstruct training set for support vector machine
CDGAN-BERT: Adversarial constraint and diversity discriminator for semi-supervised text classification
Neighborhood systems and covering approximation spaces
A hybrid metaheuristic for the cyclic antibandwidth problem
Active learning for segmentation based on Bayesian sample queries
A process-oriented probabilistic linguistic decision-making model with unknown attribute weights
Transfer learning based on improved stacked autoencoder for bearing fault diagnosis
Structural max-margin discriminant analysis for feature extraction
Improving brain tumor classification with combined convolutional neural networks and transfer learning
Dual-domain divide-and-conquer for scene text image super-resolution
Analysis of dominant classes in universal adversarial perturbations
Edge-Awarenet: A graph neural approach for efficient multi-item auction mechanism design
Random spatial subspace clustering
UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering
ECG signal reconstruction based on facial videos via combined explicit and implicit supervision
Evolutionary channel pruning for real-time object detection
Intelligent fault diagnosis for tribo-mechanical systems by machine learning: Multi-feature extraction and ensemble voting methods
A new robust fuzzy c-means clustering method based on adaptive elastic distance
Improved modelling and control of oil and gas transport facility operations using artificial intelligence
DACMF-DTI: Dual attention embedded cross-modality fusion for drug-target interaction prediction
A two-stage safe screening method for non-convex support vector machine with ramp loss
Intelligent knowledge consolidation: From data to wisdom
Unsupervised domain adaptation for regression using dictionary learning
Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations
Bayesian optimisation in unknown bounded search domains
Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation
Few-shot temporal knowledge graph completion based on query-adaptive Mamba-enhanced temporal relation learning
Using multiple and negative target rules to make classifiers more understandable
Deep learning for missing value imputation of continuous data and the effect of data discretization
Triple-view graph clustering network based on high-confidence contrastive learning strategy
Deep multi-agent fusion Q-Network for graph generation
Causal neural fuzzy inference modeling of missing data in implicit recommendation system
A holistic view on positive and negative implicit feedback for micro-video recommendation
Enhancing performance of restricted Boltzmann machines via log-sum regularization
Generalized RBF kernel for incomplete data
Who are the celebrities? Identifying vital users on Sina Weibo microblogging network
EduLGCL: Local-global contrastive learning model for education recommendation
An expert system for financial performance assessment of health care structures based on fuzzy sets and KPIs
KdMutual : A novel clustering algorithm combining mutual neighboring and hierarchical approaches using a new selection criterion
A survey about community detection over On-line Social and Heterogeneous Information Networks
New avenues in knowledge bases for natural language processing
Differentially private recommender system with variational autoencoders
Growing construction of conlitron and multiconlitron
IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making
Containment of competitive influence spread in social networks
Subset neighborhood rough sets
Trusted interaction approach for dynamic service selection using multi-criteria decision making technique
Efficient correlation information mixer for visual object tracking
Measuring similarity in feature space of knowledge entailed by two separate rule sets
A multiway p -spectral clustering algorithm
A new optimal consensus method with minimum cost in fuzzy group decision
Improving an immune-inspired algorithm by linear regression: A case study on network reliability
Turn tree into graph: Automatic code review via simplified AST driven graph convolutional network
The inseparability problem in interactive case-based reasoning
Out-of-scope intent detection with intent-invariant data augmentation
Iterative graph attention memory network for cross-modal retrieval
Image compression based on octave convolution and semantic segmentation
A model for colour naming and comparing based on conceptual neighbourhood. An application for comparing art compositions
Sparse learning based fuzzy c-means clustering
Automated EEG analysis of epilepsy: A review
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints
Time for laughter
Correlation and instance based feature selection for electricity load forecasting
A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets
Cell mitosis detection using deep neural networks
A novel incremental attribute reduction by using quantitative dominance-based neighborhood self-information
The attribute reductions of three-way concept lattices
Intelligent integrated data processing model for oceanic warning system
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals
Improved reinforcement learning-based real-time energy scheduling for prosumer with elastic loads in smart grid
Adaptive weighted multi-view evidential clustering with feature preference
Integrating multiple and diverse abstract knowledge types in real-time embedded systems
Classification of multivariate time series using two-dimensional singular value decomposition
Automated implementation of a design principle during the optimization of conceptual aircraft
Single Seekers Society (SSS): Bringing together heuristic optimization algorithms for solving complex problems
Large scale knowledge based systems for airborne decision support
Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning
An improved CNN framework for detecting and tracking human body in unconstraint environment
An O(n 2 ) algorithm for detecting communities of unbalanced sizes in large scale social networks
HRRNet: A two-Stage network for human reflection removal in thermal infrared image based on region-Aware guidance
Scalable Detection of Server-Side Polymorphic Malware
Mixup domain adaptations for dynamic remaining useful life predictions
LELNER: A Lightweight and Effective Low-resource Named Entity Recognition model
A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm
A flexible framework for coding and predicting acute hypotensive episodes using Markov chains
A geometry-aware generative model for face morphing attacks
Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning
Rational competition and cooperation in ubiquitous agent communities
Data-driven integration of multiple sentiment dictionaries for lexicon-based sentiment classification of product reviews
Bearing fault diagnosis under various conditions using an incremental learning-based multi-task shared classifier
Neighbor enhanced graph convolutional networks for node classification and recommendation
Multi-attentional causal intervention networks for medical image diagnosis
True mean value discovery over multiple data sources with unknown reliability degrees
Expression Prompt Collaboration Transformer for universal referring video object segmentation
Elliptic geometry-based kernel matrix for improved biological sequence classification
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction
Cross-modal generative model for visual-guided binaural stereo generation
Incorporating image representation and texture feature for sensor-based gymnastics activity recognition
Knowledge-embedded large language models for emergency triage
Model long-range dependencies for multi-modality and multi-view retinopathy diagnosis through transformers
Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks
ALGA: Adaptive lexicon learning using genetic algorithm for sentiment analysis of microblogs
An optimal dynamic threat evaluation and weapon scheduling technique
dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation
Weakly-supervised locally linear embedding model for discriminant feature learning
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems
Cycling topic graph learning for neural topic modeling
Strategy optimization of weighted networked evolutionary games with switched topologies and threshold
Predicting spatio-temporal dynamics in aquaculture networks: An extended Katz index approach
Automatically resolving conflicts between expert systems: An experimental approach using large language models and fuzzy cognitive maps from participatory modeling studies
A novel improved fruit fly optimization algorithm for aerodynamic shape design optimization
A comment on modified big-M method to recognize the infeasibility of linear programming models
Adaptive depth-aware visual relationship detection
An active learning framework for set inversion
Construction of concept granule based on rough set and representation of knowledge-based complex system
Nonmonotonic reasoning and logic programming
Multi-source partial domain adaptation with Gaussian-based dual-level weighting for PPG-based heart rate estimation
FedLGMatch: Federated semi-supervised learning via joint local and global pseudo labeling
Synchronized feature selection for Support Vector Machines with twin hyperplanes