yusuke1997/dblp-id-title huggingface dataset:
UBAR: User Behavior-Aware Recommendation with knowledge graph
Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation
Using AI and semantic web technologies to attack process complexity in open systems
Grammar-based random walkers in semantic networks
LGDAAN-Nets: A local and global domain adversarial attention neural networks for EEG emotion recognition
Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction
Reinforcement recommendation reasoning through knowledge graphs for explanation path quality
Decouple the object: Component-level semantic recognizer for point clouds classification
Automatic preference learning on numeric and multi-valued categorical attributes
Cascaded dual-scale crossover network for hyperspectral image classification
Quantifying the emotional impact of events on locations with social media
A framework of general instruments for multimedia art creation
A reusable commitment management service using Semantic Web technology
Lightweight spatial-channel adaptive coordination of multilevel refinement enhancement network for image reconstruction
Answering why-not questions on top-k augmented spatial keyword queries
Using statistical models and case-based reasoning in claims prediction: experience from a real-world problem
Design of an intelligent interface to standard PC applications which maximises the ability of the disabled user
Explaining design plans
Muformer: A long sequence time-series forecasting model based on modified multi-head attention
BEAT: Considering question types for bug question answering via templates
A neural network framework for relation extraction: Learning entity semantic and relation pattern
Node-community membership diversifies community structures: An overlapping community detection algorithm based on local expansion and boundary re-checking
Artificial intelligence and expert systems development: David W. Rolston McGraw-Hill, USA (1988) £12.95, ISBN 0-07-053614-7, 278 pp
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making
Approximating the maximum common subgraph isomorphism problem with a weighted graph
Fuzzy representational structures for trend based analysis of time series clustering and classification
Explaining how to play real-time strategy games
Nested Monte-Carlo Search with simulation reduction
Recommender system using Long-term Cognitive Networks
Checking the consistency of a hybrid knowledge base system
Multi-view learning based on nonparallel support vector machine
Automatic lip-reading classification using deep learning approaches and optimized quaternion meixner moments by GWO algorithm
Knowledge-based systems for marking professional IT skills examinations
A combinatorial optimization approach for multi-label associative classification
Variable precision rough set based unsupervised band selection technique for hyperspectral image classification
Robust feature selection based on regularized brownboost loss
Towards privacy-preserving and verifiable federated matrix factorization
Knowledge reuse integrating the collaboration from experts in industrial maintenance management
Advanced incremental erasable pattern mining from the time-sensitive data stream
Accelerated opposition learning based chaotic single candidate optimization algorithm: A new alternative to population-based heuristics
Localization of multiple diffusion sources based on overlapping community detection
Multi-behavior contrastive learning with graph neural networks for recommendation
Dynamic variable precision rough set approach for probabilistic set-valued information systems
One-step incomplete multi-view clustering via imputed anchor graph discretization
Multi-perspective learning for enhanced user preferences for session-based recommendation
TGGS network: A multi-task learning network for gradient-guided knowledge sharing
P-MLP: Language-conditioned task planning with multimodal lexical priors over labels
References to graphical objects in interactive multimodal queries
CAA: Class-Aware Affinity calculation add-on for semantic segmentation
An improved gravity model to identify influential nodes in complex networks based on k-shell method
Shape-based template matching for time series data
Not all datasets are born equal: On heterogeneous tabular data and adversarial examples
A framework of opinion dynamics using fuzzy linguistic 2-tuples
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification
A structure optimization framework for feed-forward neural networks using sparse representation
Windowing improvements towards more comprehensible models
SmartWiki: A reliable and conflict-refrained Wiki model based on reader differentiation and social context analysis
An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic
A novel cross-entropy and entropy measures of IFSs and their applications
Nonlinear compensation algorithm for multidimensional temporal data: A missing value imputation for the power grid applications
Time-aware approximate collective keyword search in traffic networks
Prospective domain adaptation for longitudinal data
An augmented Lagrangian multiplier method based on a CHKS smoothing function for solving nonlinear bilevel programming problems
Finding influential location regions based on reverse k-neighbor queries
Automatic selection of a single solution from the Pareto front to identify key players in social networks
A graph neural network-based node classification model on class-imbalanced graph data
KMc-ToD: Structure knowledge enhanced multi-copy network for task-oriented dialogue system
Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework
Dimensions of commonsense knowledge
DFCG: A Dual-Frequency Cascade Graph model for semi-supervised ultrasound image segmentation with diffusion model
OUSA-GS: real-time structurally-consistent 3D reconstruction of outdoor unbounded scenes via adaptive Gaussian splatting
TVNeRF: Improving few-view neural volume rendering with total variation maximization
Local and global knowledge distillation with direction-enhanced contrastive learning for single-image deraining
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal
A self-adaptive weighted differential evolution approach for large-scale feature selection
Study on axiomatic rules for building up relationships between requirement and source programs
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
A survey on trends of cross-media topic evolution map
Fireworks explosion based artificial bee colony for numerical optimization
KoSEL: Knowledge subgraph enhanced large language model for medical question answering
Multi-perspective neural network for dual drug repurposing in Alzheimer's disease
Efficient colossal pattern mining in high dimensional datasets
On the fusion of multiple multi-criteria aggregation functions with focus on the fusion of OWA aggregations
Automatic segmentation of left ventricle using parallel end-end deep convolutional neural networks framework
Causal structure learning for high-dimensional non-stationary time series
Joint single vendor-single buyer supply chain problem with stochastic demand and fuzzy lead-time
Sentiment-aware jump forecasting
GCL-OSDA: Uncertainty prediction-based graph collaborative learning for open-set domain adaptation
Interactive dimensionality reduction using similarity projections
BEFM: A balanced and efficient fine-tuning model in class-incremental learning
A local dynamic method for tracking communities and their evolution in dynamic networks
Multi-source adaptation learning with global and local regularization by exploiting joint kernel sparse representation
Trust, distrust and lack of confidence of users in online social media-sharing communities
An intelligent interactive approach to group aggregation of subjective probabilities
Community hiding using a graph autoencoder
Knowledge model-based heterogeneous multi-robot system implemented by a software platform
Teaching a vehicle to autonomously drift: A data-based approach using Neural Networks
Short-term traffic volume prediction by ensemble learning in concept drifting environments
Broad-learning recurrent Hermite neural control for unknown nonlinear systems
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning
Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems
AdaVAM: Adaptive variance-aware momentum for accelerating deep neural network training
Out-of-distribution detection in heterogeneous graphs via energy propagation
Hierarchical feature selection via joint local label enhancement and neighborhood label distribution correlation
Explainability-based adversarial attack on graphs through edge perturbation
AdaptiveMamba: Comprehensive visual representation learning with adaptive semantic perception
Socrates: a flexible toolkit for building logic-based expert systems
Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation
A metaheuristic causal discovery method in directed acyclic graphs space
Temporal Motion and Spatial Enhanced Appearance with Transformer for video-based person ReID
A spatial-temporal graph neural network framework for automated software bug triaging
A framework for intelligent medical diagnosis using the theory of evidence
Latent graph-regularized inductive robust principal component analysis
Multi-relational graph attention networks for knowledge graph completion
Supervised Contrastive Discrete Hashing for cross-modal retrieval
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Model correspondence as a basis for schema domination
Multi-views contrastive learning for dense text retrieval
A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem
Hydro-power production capacity prediction based on machine learning regression techniques
Object aroused emotion analysis network for image sentiment analysis
Multi-label feature selection based on positive sample information weighting
Interval-valued hesitant preference relations and their applications to group decision making
Binary dragonfly optimization for feature selection using time-varying transfer functions
MICOS: Mixed supervised contrastive learning for multivariate time series classification
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
AGRE: A knowledge graph recommendation algorithm based on multiple paths embeddings RNN encoder
Mechanism-empowered multivariate time series forecasting model: application to tuberculosis prediction
A dynamic graph-based multi-task learning model for cut-in intention and trajectory prediction
Conflict-aware multilingual knowledge graph completion
Adaptive tree-like neural network: Overcoming catastrophic forgetting to classify streaming data with concept drifts
Incremental feature selection for dynamic hybrid data using neighborhood rough set
ASAFormer: Visual tracking with convolutional vision transformer and asymmetric selective attention
Multi-objective feature selection based on quasi-oppositional based Jaya algorithm for microarray data
Find you if you drive: Inferring home locations for vehicles with surveillance camera data
The ordered multiplicative modular geometric operator
Exploring spatial and channel contribution for object based image retrieval
Improving stock market prediction via heterogeneous information fusion
Issues for integrating knowledge in new product development: reflections from an empirical study
Plans in natural-language dialogues
Web Intelligence: exploring structures, semantics, and knowledge of the Web
A clustering technique for news articles using WordNet
An improved emperor penguin optimization based multilevel thresholding for color image segmentation
MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers
GLMP: Geometric prior learning with multimodal pre-training representation compensation for 3D human shape estimation
Relation-aware collaborative autoencoder for personalized multiple facet selection
Context-aware profiling of concepts from a semantic topological space
Large-scale cross-modal hashing via Kolmogorov-Arnold representation theorem and optimal transport
Anti-synchronization of delayed memristive neural networks with leakage term and reaction-diffusion terms
Industrial plant/process condition monitoring and fault diagnosis products
NuSegDG: Integration of heterogeneous space and Gaussian kernel for domain-generalized nuclei segmentation
Immune Generalized Differential Evolution for dynamic multi-objective environments: An empirical study
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences
Disagreement based semi-supervised learning approaches with belief functions
Multi-level out-of-vocabulary words handling approach
Enhancing collaboration in multi-agent reinforcement learning with correlated trajectories
On new operational laws of 2-tuple linguistic information using Archimedean t-norm and s-norm
Effective service composition using multi-agent reinforcement learning
Efficient multi-agent cooperation: Scalable reinforcement learning with heterogeneous graph networks and limited communication
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
LE-DLCM: Decoupled learner and course modeling with large language models for enhanced course recommendation
Online group streaming feature selection considering feature interaction
Learning general features to bridge the cross-domain gaps in few-shot learning
How to implement MCDM tools and continuous logic into neural computation?: Towards better interpretability of neural networks
A multi-objectives framework for secure blockchain in fog-cloud network of vehicle-to-infrastructure applications
On the class overlap problem in imbalanced data classification
Exploring reference-guided unpaired image-to-image translation under limited data
Knowledge Graph Question Answering with semantic oriented fusion model
Knowledge evolution course discovery in a professional virtual community
Explainable quantum clustering method to model medical data
A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
Multilevel approach for combinatorial optimization in bipartite network
Attribute analysis of information systems based on elementary soft implications
DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification
Review of restoration strategies and a realtime knowledge based approach for bulk power system restoration
Degraded Structure and Hue Guided Auxiliary Learning for low-light image enhancement
Singular value decomposition based recommendation using imputed data
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Manifold discrimination partial adversarial domain adaptation
Interpretability and accuracy trade-off in the modeling of belief rule-based systems
Real noise image adjustment networks for saliency-aware stylistic color retouch
Performance Analysis of Fault Tolerance Algorithm for Pattern Formation of Swarm Agents
Multi-view distillation based on multi-modal fusion for few-shot action recognition (CLIP-MDMF)
Knowledge-based programming environments
Online job scheduling for distributed machine learning in optical circuit switch networks
DMAdam: Dual averaging enhanced adaptive gradient method for deep neural networks
UAV image stitching method based on dual feature guidance and optimal seam
Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism
Cooperative Refinement Learning for domain adaptive person Re-identification
Predicting online order satisfaction with lagged data using WGAIN-GP
A proactive decision support method based on deep reinforcement learning and state partition
Self-attention Mechanism at the Token Level: Gradient Analysis and Algorithm Optimization
AC2CD: An actor-critic architecture for community detection in dynamic social networks
Dynamic matching-prototypical learning for noisy few-shot relation classification
Making recommender systems forget: Learning and unlearning for erasable recommendation
Hierarchy-Aware and Label Balanced Model for Hierarchical Text Classification
A new secondary decomposition ensemble learning approach for carbon price forecasting
Mixture correntropy-based robust distance metric learning for classification
A group decision making model based on an inconsistency index of interval multiplicative reciprocal matrices
A robust unsupervised method for outlier set detection
Rating LDA model for collaborative filtering
An efficient uncertainty measure with dynamic update mechanisms
Named entity disambiguation for questions in community question answering
Modeling of a semantics core of linguistic terms based on an extension of hedge algebra semantics and its application
Weighted cross-modal hashing with label enhancement
Research on knowledge drift based on interaction matching
A matrix factorization based dynamic granularity recommendation with three-way decisions
Deep feature clustering for multi-class industrial image anomaly detection
MAKEE: Multi-view attribute network and sequence embedding approach for predictive process monitoring
Research on the attribute reduction method based on the best approximation set
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content
Knowledge representation form in mechanical engineering
A dynamic attribute reduction algorithm based on 0-1 integer programming
Research on users' participation mechanisms in virtual tourism communities by Bayesian network
A novel automatic satire and irony detection using ensembled feature selection and data mining
A deep model based on Lure and Similarity for Adaptive Clickbait Detection
A quality enhancement network with coding priors for constant bit rate video coding
Stock portfolio selection balancing variance and tail risk via stock vector representation acquired from price data and texts
LDPMF: Local differential privacy enhanced matrix factorization for advanced recommendation
A tensor based hyper-heuristic for nurse rostering
Extracting latently overlapping users by graph neural network for non-overlapping cross-domain recommendation
Irrelevant Patch-Masked Autoencoders for Enhancing Vision Transformers under Limited Data
Ontology-based data federation and query optimization
Clustering and supervised response for XACML policy evaluation and management
Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG Signals
Incremental attribute reduction approaches for ordered data with time-evolving objects
Mining fuzzy local periodic activity pattern for Smart home applications
The importance of retrieval in creative design analogies
A modified sine cosine algorithm for accurate global optimization of numerical functions and multiple hydropower reservoirs operation
Uncertainty-based consistency regularisation for text classification with limited labels
Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis
Skeleton-based action recognition through attention guided heterogeneous graph neural network
Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM)
IF-NS: A New negative sampling framework for knowledge graph embedding using influence function
Trust propagation and trust network evaluation in social networks based on uncertainty theory
One-step negative learning via structured suppression for robust classification with noisy labels
A fuzzy c-means algorithm guided by attribute correlations and its application in the big data analysis of tunnel boring machine
A reliable neural network framework for the Zika system based reservoirs and human movement
An improved Dempster-Shafer approach to construction safety risk perception
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
A two-stage social trust network partition model for large-scale group decision-making problems
CGG: Category-aware global graph contrastive learning for session-based recommendation
A fine-grained and dynamic scaling method for service function chains
Label-Aware feature and basis alignment via contrastive learning for cross-Domain quality prediction of multimode processes
iBridge: Inferring bridge links that diffuse information across communities
Edge and fog computing using IoT for direct load optimization and control with flexibility services for citizen energy communities
TCrossE: Cross-space interaction of bicomplex and quaternion embeddings for temporal knowledge graph completion
A variable precision grey-based multi-granulation rough set model and attribute reduction
Lagrange interpolation-driven access control mechanism: Towards secure and privacy-preserving fusion of personal health records
MTSec: AIGC-enhanced security model training for multimodal federated learning
Optimization of a multiproduct economic production quantity problem with stochastic constraints using sequential quadratic programming
MLPMDA: Multi-layer linear projection for predicting miRNA-disease association
Fine-grained Stateful Knowledge Exploration: Effective and efficient graph retrieval with Large Language Models
Cannibalism in medical topic networks
A Software Reference Architecture for Journalistic Knowledge Platforms
Small bowel motility assessment based on fully convolutional networks and long short-term memory
The development of an online knowledge-based videotheodolite measurement system
Experiencer-Driven and Knowledge-Aware Graph Model for emotion-cause pair extraction
Expert systems in banking and securities
Continuous and incremental data mining association rules using frame metadata model
CGNet: A Cascaded Generative Network for dense point cloud reconstruction from a single image
Representations of strategic knowledge in design
A cloud model based fruit fly optimization algorithm
Optimizing pre-training via target-aware source data selection
Evolutionary algorithm based on different semantic similarity functions for synonym recognition in the biomedical domain
MulOER-SAN: 2-layer multi-objective framework for exercise recommendation with self-attention networks
Feature subset selection based on fuzzy neighborhood rough sets
Using errors to direct design
A bilevel improved fruit fly optimization algorithm for the nonlinear bilevel programming problem
Artificial intelligence planning of military missions
Information bottleneck fusion for deep multi-view clustering
Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data
ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution
Home service robot task planning using semantic knowledge and probabilistic inference
Safety-Stock: Predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic
Document-level event argument extraction with self-augmentation and a cross-domain joint training mechanism
Attention-based anomaly detection in multi-view surveillance videos
Accountable federated learning against local poisoning attacks
A context aware sound classifier applied to prawn feed monitoring and energy disaggregation
Cross-modal recipe retrieval based on unified text encoder with fine-grained contrastive learning