yusuke1997/dblp-id-title huggingface dataset:
GEAR: Learning graph neural network explainer via adjusting gradients
On the classification performance of TAN and general Bayesian networks
Reinforcement learning in learning automata and cellular learning automata via multiple reinforcement signals
Direction-sensitive relation extraction using Bi-SDP attention model
Combining description logics and Horn rules with uncertainty in ARTIGENCE
Graph-based semantic annotation for enriching educational content with linked data
A novel backtesting methodology for clustering in mean-variance portfolio optimization
Validation, verification and test of knowledge-based systems : M Ayel and J-P Laurent (Eds.)
Confidence-Enhanced Dual-Space Semantic Alignment for partial multi-view incomplete multi-label classification
Some programming models to derive priority weights from additive interval fuzzy preference relation
The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory
Learning a Weighted Classifier for Conditional Domain Adaptation
ULBPNet: Low-light image enhancement using U-shaped lightening back-projection
An explainable machine learning model for sentiment analysis of online reviews
DEMNet: A degradation difference enabled multi-stage network for multiple degradation image restoration
Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations
Multi-scale subspace co-clustering network with adaptive multi-scale enhancement for remote sensing scene classification
Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm
Predicting creditworthiness in retail banking with limited scoring data
Tag-informed collaborative topic modeling for cross domain recommendations
Decorrelated adaptive simple graph representation learning for next POI recommendation
All particles driving particle swarm optimization: Superior particles pulling plus inferior particles pushing
Symbolic distillation of a fully tokenized transformer for settlement prediction in pre-bored grouted planted nodular piles in stratified soils
Dynamic interaction and router selection network for multi-modality biometric recognition
Fast recommendation on latent collaborative relations
Cross-domain recommender system with embedding- and mapping-based knowledge correlation
Multi-pattern correlation tracking
Intrinsic dimension estimation method based on correlation dimension and kNN method
Natural language understanding for argumentative dialogue systems in the opinion building domain
ROSIN: Robust Semantic Image Hiding Network
Different classes' ratio fuzzy rough set based robust feature selection
Smooth low-rank representation with a Grassmann manifold for tensor completion
Enhancing multi-agent reinforcement learning via world model assisted single-agent population policies in multi-UAV cooperative-competitive scenario
Adaptive graph transformer with future interaction modeling for multi-agent trajectory prediction
ENFformer: Long-short term representation of electric network frequency for digital audio tampering detection
Normalized neighborhood component feature selection and feasible-improved weight allocation for input variable selection
Hierarchically trusted evidential fusion method with consistency learning for multimodal language understanding
The use of hybrid manifold learning and support vector machines in the prediction of business failure
Single MR image super-resolution via channel splitting and serial fusion network
Subspectrum mixup-based adversarial attack and evading defenses by structure-enhanced gradient purification
Mitigating data imbalance and generating better prototypes in heterogeneous Federated Graph Learning
Facial expression recognition with automatic segmentation of face regions using a fuzzy based classification approach
EULE: A Knowledge-Based System to Support Business Processes
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection
Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture
Use of textual and conceptual profiles for personalized retrieval of political documents
Pairwise contrastive learning for sentence semantic equivalence identification with limited supervision
A robust automatic phase-adjustment method for financial forecasting
Surrogate dropout: Learning optimal drop rate through proxy
Information visualization for intelligent decision support systems
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications
A quantitative model on knowledge management for team cooperation
HiLINK: Hierarchical linking of context-aware knowledge prediction and prompt tuning for bilingual knowledge-based visual question answering
The operations on intuitionistic fuzzy values in the framework of Dempster-Shafer theory
A hybrid multi-criteria meta-learner based classifier for imbalanced data
Reliable image super-resolution using dual-teacher knowledge distillation
A sock puppet detection algorithm on virtual spaces
Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach
Multi-objective optimization for long tail recommendation
Mining closed partially ordered patterns, a new optimized algorithm
Robust concept drift handling in dynamic industrial systems: A multi-objective optimization approach
SurvLIME: A method for explaining machine learning survival models
A modular approach for multilingual timex detection and normalization using deep learning and grammar-based methods
GeneSIS: A GA-based fuzzy segmentation algorithm for remote sensing images
Cross-correlation conditional restricted Boltzmann machines for modeling motion style
An online algorithm for scheduling big data analysis jobs in cloud environments
Multi-graph fusion for multi-view spectral clustering
Probabilistic orthogonal-signal-corrected principal component analysis
TIJERE: A novel threat intelligence joint extraction model based on analyst expert knowledge
A safety realignment framework via subspace-oriented model fusion for large language models
Sharpness-aware gradient guidance for few-shot class-incremental learning
MPN: Multi-task proposal network
A novel neural network architecture utilizing parametric-logarithmic-modulus-based activation function: Theory, algorithm, and applications
Epsilon focusing--A strategy for active example selection
MDLText: An efficient and lightweight text classifier
A decision-theoretic network approach to treatment management and prognosis
Blockchain-driven privacy-preservation of healthcare insurance data using improved ECC based encryption and deep learning based key tuning
Interactive multimedia -- creative catalyst or constraint?
GAPORE: Boolean network inference using a genetic algorithm with novel polynomial representation and encoding scheme
Video summarization via knowledge-aware multimodal deep networks
DEFEG: Deep Ensemble with Weighted Feature Generation
Sentiment and emotion classification over noisy labels
Multi-knowledge reinforcement transfer framework: Solving supersonic combustion flow in extreme environments
CNN and RNN based payload classification methods for attack detection
Self-adaptive stepsize search for automatic optimal design
Constructing Bayesian networks for criminal profiling from limited data
Training for crisis decision making - An approach based on plan adaptation
Personas-based Student Grouping using reinforcement learning and linear programming
Convolutional rule inference network based on belief rule-based system using an evidential reasoning approach
Dual-view temporal knowledge graph reasoning
Big data for Natural Language Processing: A streaming approach
A transformer-based approach for traffic prediction with fusion spatiotemporal attention
Dynamic graph dropout for subgraph-based relation prediction
Interpretable deep learning LSTM model for intelligent economic decision-making
Intelligent multi-shot 3D visualization interfaces
Multi streams with dynamic balancing-based Conditional Generative Adversarial Network for paired image generation
MASA: Multi-view adaptive subspace alignment for enhanced few-shot learning
On compatibility of uncertain additive linguistic preference relations and its application in the group decision making
Exploiting textual and relationship information for fine-grained financial sentiment analysis
HFA-UNet: hybrid and full attention UNet for thyroid nodule segmentation
A preliminary framework for description, analysis and comparison of creative systems
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks
Portfolio optimization and return prediction by integrating modified deep belief network and recurrent neural network
Semi-supervised pairwise transfer learning based on multi-source domain adaptation: A case study on EEG-based emotion recognition
Serialized attention and masked residual network structure for free-form image inpainting
A business process network efficiency model for handling conflicting information
Improving interpolation-based oversampling for imbalanced data learning
An approach to determining the integrated weights of decision makers based on interval number group decision matrices
Leading and non-leading prompts: Quantifying gender bias in Large Language Models through BiasBloom corpus
High-order autoencoder with data augmentation for collaborative filtering
Unsupervised domain adaptation via discriminative feature learning and classifier adaptation from center-based distances
Semi-supervised domain generalization with clustering and contrastive learning combined mechanism
Data augmentation based on large language models for radiological report classification
Expert system approach to electroencephalogram signal processing
A novel ordinal learning strategy: Ordinal nearest-centroid projection
Differentiable learning of rules with constants in knowledge graph
A relevant subspace based contextual outlier mining algorithm
Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks
Sentiment analysis using TF-IDF weighting of UK MPs' tweets on Brexit
Research and application of quantum-inspired double parallel feed-forward neural network
Interfacing learning methods for anomaly detection in multi-country financial stress indicators
Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings
Updating multigranulation rough approximations with increasing of granular structures
Communication-efficient personalized federated learning with evolutionary strategies and cluster-aware knowledge transfer
MDDPFuse: Multi-driven dynamic perception network for infrared and visible image fusion via data guidance and semantic injection
Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking
A transfer-based decision-making method with criterion weight and reliability transfer
Affective body expression recognition framework based on temporal and spatial fusion features
Lattice-based ranking for service trust behaviors
Finding tendencies in streaming data using Big Data frequent itemset mining
Applying an ontology approach to IT service management for business-IT integration
An intelligent system for tuning magnetic field of a cathode ray tube deflection yoke
MsAD-LEC: Estimating large-scale brain effective connectivity network based on multi-subgraph attention diffusion
Nearest cluster-based intrusion detection through convolutional neural networks
DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception
MultiModFuseNet: Advancing multimodal text classification for low-resource languages through textual-visual feature fusion
Disentangled hyperbolic representation learning for heterogeneous graphs
A novel data-driven model-free synchronization protocol for discrete-time multi-agent systems via TD3 based algorithm
Opposition-based learning grey wolf optimizer for global optimization
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach
Who is DNS serving for? A human-software perspective of modeling DNS services
Bayesian networks based rare event prediction with sensor data
What Semiotics can and cannot do for HCI
Enhancing unmanned marine vehicle path planning: A fractal-enhanced chaotic grey wolf and differential evolution approach
Fuzzy filter cost-sensitive feature selection with differential evolution
Pair-wise ranking based preference learning for points-of-interest recommendation
Explainable document-level event extraction via back-tracing to sentence-level event clues
Heterogeneous subgraph network with prompt learning for interpretable depression detection on social media
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation
Ontology-based personalised retrieval in support of reminiscence
A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine
Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure
Fed-GCC: Global classifier consensus for conventional/task-free federated class-incremental learning
Neural network-based hybrid modeling approach incorporating Bayesian optimization with industrial soft sensor application
Exploring attention mechanism for graph similarity learning
A scheduling algorithm for heterogeneous computing systems by edge cover queue
Recursive-match prompting to enhance LLM-powered conversational AI capabilities in the judicial system
A monolithic approach to automated composition of semantic web services with the Event Calculus
Case-based content navigation
Adaptive robust learning framework for twin support vector machine classification
Knowledge-rich solutions to the binding problem: a simulation of some human computational mechanisms
Kernel-attended residual network for single image super-resolution
Dynamic feature weighting based on user preference sensitivity for recommender systems
Approaches to multiple-criteria group decision making based on interval-valued intuitionistic fuzzy Choquet integral with respect to the generalized λ-Shapley index
A support vector machine-based model for detecting top management fraud
Interactive learning for multi-finger dexterous hand: A model-free hierarchical deep reinforcement learning approach
Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network
ForesTexter: An efficient random forest algorithm for imbalanced text categorization
Deformable attention-oriented feature pyramid network for semantic segmentation
Graph constraints refined for transitive relations
Moth-flame optimization-based algorithm with synthetic dynamic PPI networks for discovering protein complexes
A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition
A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer
Fine-grained biomedical knowledge negation detection via contrastive learning
Embedding languages within design environments
Cluster validation using an ensemble of supervised classifiers
GON: End-to-end optimization framework for constraint graph optimization problems
Truth selection for truth discovery models exploiting ordering relationship among values
Two-phase network generation towards within-network classifiers evaluation
Rare-PEARs: A new multi objective evolutionary algorithm to mine rare and non-redundant quantitative association rules
A complete first-order temporal BDI logic for forest multi-agent systems
Advanced drone-based weed detection using feature-enriched deep learning approach
A Random Forest approach using imprecise probabilities
Fourth party logistics routing problem model with fuzzy duration time and cost discount
Lightweight image super-resolution with enhanced CNN
Low-rank subspace learning based network community detection
A sequential mixing fusion network for enhanced feature representations in multimodal sentiment analysis
Forward search optimization and subgoal-based hybrid path planning to shorten and smooth global path for mobile robots
Understanding images of surveillance devices in the wild
Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence
Knowledge representation and inference techniques to improve the management of gas and oil facilities
GLEm-Net: Unified framework for data reduction with categorical and numerical features
UBP-Miner: An efficient bit based high utility itemset mining algorithm
A deep reinforcement learning approach for the meal delivery problem
Multi-interest semantic changes over time in short-text microblogs
Aggregating multiple types of complex data in stock market prediction: A model-independent framework
The design of intelligent workflow monitoring with agent technology
A robust and adaptive kernelised correlation filter with fuzzy-enhanced template matching and motion-aware target candidate prediction
Efficient correntropy-based multi-view clustering with alignment discretization
HSEKT-GS: Hypergraph structure-enhanced for knowledge tracing with gumbel-softmax sampling
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization
Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations
Consistency and inconsistency guided multi-view subspace clustering based on low-rank tensor and comprehensive similarity
Fixed/Preassigned-time synchronization of high-dimension-valued fuzzy neural networks with time-varying delays via nonseparation approach
UcUNet: A lightweight and precise medical image segmentation network based on efficient large kernel U-shaped convolutional module design
Recurrent neural network based recommendation for time heterogeneous feedback
Fast instance selection for speeding up support vector machines
Enhanced temporal graph neural network for predicting future citations on academic graphs: A dual clustering-driven and centrality-guided approach
Unsupervised feature selection via self-paced learning and low-redundant regularization
Dynamic evolutions based on ontologies
An efficient neural network-based method for patient-specific information involved arrhythmia detection
Cost-sensitive max-margin feature selection for SVM using alternated sorting method genetic algorithm
Privacy-preserving Federated Learning and its application to natural language processing
Monotonic alignments for summarization
Tensor-based anomaly detection: An interdisciplinary survey
A visual interaction consensus model for social network group decision making with trust propagation
Vision-and-language navigation based on history-aware cross-modal feature fusion in indoor environment
LungCT-NET: An explainable transfer learning-based robust ensemble model for lung cancer diagnosis
Precise feature selection via non-convex regularized graph embedding and self-representation for unsupervised learning
A serial semantic segmentation model based on encoder-decoder architecture
Knowledge graph completion using topological correlation and multi-perspective independence
An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency
A unified model of sequential three-way decisions and multilevel incremental processing
RG4LDL: Renormalization group for label distribution learning
Expression of Concern: "Fusing multi-source quality statistical data for construction risk assessment and warning based on deep learning" [Knowledge-Based Systems, Volume 284, 25 January 2024, 111223]
The quasi-arithmetic intuitionistic fuzzy OWA operators
Meta-water-modelling (Meta-WaM): A new framework for increasing applicability of digital water modelling
Structural-temporal mining for motif-level anomaly detection in dynamic graphs
A dynamic balanced quadtree for real-time streaming data
A unified Link Prediction architecture applied on a novel heterogenous Knowledge Base
Trajectory mining from anonymous binary motion sensors in Smart Environment
Network intrusion detection using equality constrained-optimization-based extreme learning machines
Revisiting representation learning of color information: Color medical image segmentation incorporating quaternion
Tracking the evolution of overlapping communities in dynamic social networks
TextX: A Python tool for Domain-Specific Languages implementation
Merging trust in collaborative filtering to alleviate data sparsity and cold start
Feature selection using a classification error impurity algorithm and an adaptive genetic algorithm improved with an external repository
Cross-domain meta learning fault diagnosis based on multi-scale dilated convolution and adaptive relation module
A structural hidden Markov model for forecasting scenario probabilities for portfolio loan loss provisions
A neural network approach for solving linear bilevel programming problem
Rapid design centering of multi-band antennas using knowledge-based inverse models and response features
Local distance-based classification
Hierarchy-induced dual-channel tokenized graph learning
PERCEPTUS: Predictive complex event processing and reasoning for IoT-enabled supply chain
FAITH: Frequency-domain Attention In Two Horizons for time series forecasting
A Span-based Multi-Modal Attention Network for joint entity-relation extraction
CTS-DP: Publishing correlated time-series data via differential privacy
Reference line-based Estimation of Distribution Algorithm for many-objective optimization
Role of acquaintance models in agent's private and semi-private knowledge disclosure
Monitoring elderly people at home with temporal Case-Based Reasoning
A two-stage preference-based evolutionary multi-objective approach for capability planning problems
Real-time and screen-cam robust screen watermarking
Learning graph-level representation from local-structural distribution with Graph Neural Networks
Abduction Machine-1 as wooden furniture
Image reconstruction by means of F-transform
End-to-end LDA-based automatic weak signal detection in web news
Imperceptible pixel-precise adaptive multi-level sparse adversarial attacks on video recognition models
FairUDT: Fairness-aware Uplift Decision Trees
SAIRVO: a planning system implementing the ACTEM concept
Collaborative multi-depot pickup and delivery vehicle routing problem with split loads and time windows
GaitFormer: Leveraging dual-stream spatial-temporal Vision Transformer via a single low-cost RGB camera for clinical gait analysis
Generalized hesitant fuzzy sets and their application in decision support system
Ranking objects from group decision making with interval-valued hesitant fuzzy preference relations in view of additive consistency and consensus
On the design of a similarity function for sparse binary data with application on protein function annotation
Distribution Adaptation and Manifold Alignment for complex processes fault diagnosis
CCSpan: Mining closed contiguous sequential patterns
VPFL: Enabling verifiability and privacy in federated learning with zero-knowledge proofs
Kernel locality-constrained collaborative representation based discriminant analysis
Dual semi-supervised hypergraph regular multi-view NMF with anchor graph embedding
An agent-based geographical information system
Exploring iterative dual domain adaptation for neural machine translation
A Hellinger-based discretization method for numeric attributes in classification learning
GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings
DFDG: Adaptive federated learning for dynamic graph-based traffic forecasting
A hybrid approach for high-dimensional optimization: Combining particle swarm optimization with mechanisms in neuro-endocrine-immune systems
Swish-Optimized trident fusion network for precise attack classification in software-defined networks
Depth-defying OOF-GNN: Sailing smoothly amidst GNN waves