yusuke1997/dblp-id-title huggingface dataset:
Learning binary codes with neural collaborative filtering for efficient recommendation systems
An efficient algorithm for graph edit distance computation
STCKGE: Continual knowledge graph embedding based on spatial transformation
Zero-shot language extension for dialogue state tracking via pre-trained models and multi-auxiliary-tasks fine-tuning
Evaluating Case-Base Maintenance algorithms
Transformer-based statement level vulnerability detection by cross-modal fine-grained features capture
Superspreaders and superblockers based community evolution tracking in dynamic social networks
Finding strongly connected components of simple digraphs based on generalized rough sets theory
A novel selective naïve Bayes algorithm
Progressive reconstruction-decoupled face super-resolution framework with controllable knowledge guidance
Post ARIES collaboration announced
Role-oriented representation learning via fusioning local and higher-order feature
MSER-Net: Multi-stage edge refinement network for deepfake detection
Enhancing knowledge retrieval with in-context learning and semantic search through generative AI
What makes sentiment signals work? Sentiment and stance multi-task learning for fake news detection
Data-driven decision making for supply chain networks with agent-based computational experiment
One-to-Multiple Clean-Label Image Camouflage (OmClic) based backdoor attack on deep learning
MFF-Net: A multi-feature fusion network for community detection in complex network
Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets
A fuzzy integral fusion approach in analyzing competitiveness patterns from WCY2010
Transfer-learning enabled micro-expression recognition using dense connections and mixed attention
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations
MFCQA: Multi-Range Feature Cross-Attention Mechanism for no-reference image quality assessment
MFF-Mixer: A multi-perspective feature fusion method for long-term multivariate time series forecasting
Knowledge-based systems in computer-assisted production - a review
A two-stage spiking meta-learning method for few-shot classification
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
Finite-time dissipative control for bidirectional associative memory neural networks with state-dependent switching and time-varying delays
Incomprehensible but Intelligible-in-time logics: Theory and optimization algorithm
A novel smart street intervention mechanism using clustering-based path optimization for street networks
Sentence recognition using artificial neural networks
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Reducing explicit semantic representation vectors using Latent Dirichlet Allocation
The Heuristic Search Research Framework
Decoupled Sequential Detection Head for accurate acne detection
Dual-modality hard mining triplet-center loss for visible infrared person re-identification
Learning enhanced filter and response reliability regularization for aerial object tracking
BCAF-3D: Bilateral Content Awareness Fusion for cross-modal 3D object detection
Late acceptance hill climbing algorithm for solving patient admission scheduling problem
Mutually improved response generation and dialogue summarization for multi-domain task-oriented dialogue systems
Overlapping community detection based on node location analysis
Object detection on low-resolution images with two-stage enhancement
Constraint selection in metric learning
Cardiac signals classification via optional multimodal multiscale receptive fields CNN-enhanced Transformer
Refinement operators for directed labeled graphs with applications to instance-based learning
A computational framework for concept formation for a situated design agent
Cooperation and strategy coexistence in a tag-based multi-agent system with contingent mobility
Mapping visual to textual knowledge representation
Tree pattern matching in heterogeneous fuzzy XML databases
KPT++: Refined knowledgeable prompt tuning for few-shot text classification
Fine-grained label propagation via density-based prototype matching for cross-subject EEG emotion recognition
Simple instance selection for bankruptcy prediction
Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization
Knowledge-enhanced recommendation using item embedding and path attention
Endmember independence constrained hyperspectral unmixing via nonnegative tensor factorization
SocksCatch: Automatic detection and grouping of sockpuppets in social media
MPGB: Learning discriminative embeddings with multi-prototype and gradient balancing strategy for multi-modal 3D open world object detection
Bagged fuzzy clustering for fuzzy data: An application to a tourism market
Certificateless threshold signcryption scheme with secret sharing mechanism
Autonomous driving policy learning from demonstration using regression loss function
ADCNet: adaptive dual-domain collaborative network for remote sensing change detection
An extended TOPSIS model based on the Possibility theory under fuzzy environment
Model compression optimized neural network controller for nonlinear systems
A stratified sampling based clustering algorithm for large-scale data
Image deraining via dual-level contextual information associated learning for autonomous driving
Piecewise parameterization for multifactor uncertain system and uncertain inventory-promotion optimization
Parameter auto-selection for hemispherical resonator gyroscope's long-term prediction model based on cooperative game theory
Hierarchical Attention Link Prediction Neural Network
A new crude oil price forecasting model based on variational mode decomposition
RLAT: Multi-hop temporal knowledge graph reasoning based on Reinforcement Learning and Attention Mechanism
Distilled representation using patch-based local-to-global similarity strategy for visual place recognition
LMKG: A large-scale and multi-source medical knowledge graph for intelligent medicine applications
MiC: Image-text Matching in Circles with cross-modal generative knowledge enhancement
GSLTA-CDFSAR: Global Sequences and Local Tuples Alignment for Cross-Domain Few-Shot Action Recognition
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models
On deep CFR integrated with opponent model in imperfect information games
Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation
Rethinking eigenpairs: Community detection with orthogonality
Heterogeneous graph network for online multiple object tracking
Designing collaborative environments for strategic knowledge in design
A natural-disaster management DSS for Humanitarian Non-Governmental Organisations
Special issue on 'Intention and Software Process'
Multi-view contrastive learning with virtual social group influence for social recommendation
Enhancing cross-city spatio-temporal prediction via dynamic multi-scale hypergraph learning with domain adversarial training
MAFH: Multilabel aware framework for bit-scalable cross-modal hashing
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity
A conditional variational autoencoder based self-transferred algorithm for imbalanced classification
Multi-view learning with Universum
SMSMO: Learning to generate multimodal summary for scientific papers
Blockchain and multi-agent system for meme discovery and prediction in social network
Class-agnostic counting and localization with feature augmentation and scale-adaptive aggregation
Grounding the detection of the user's likes and dislikes on the topic structure of human-agent interactions
Playing to spot the difference: Enhancing HDR imaging with dual-task synergy and multi-perspective consensus learning
Fast clustering-based anonymization approaches with time constraints for data streams
Perceptually grounded self-diagnosis and self-repair of domain knowledge
Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine
SmartPrognosis: Automatic ensemble classification for quantitative EEG analysis in patients resuscitated from cardiac arrest
Synthesize then align: Modality alignment augmentation for zero-shot image captioning with synthetic data
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking
A novel fruit fly optimization algorithm for the semiconductor final testing scheduling problem
Adaptive token selection for efficient detection transformer with dual teacher supervision
Empowering early predictions: A paradigm shift in diabetes risk assessment with Deep Active Learning
Provide explainable clues: A generative traceable method for knowledge graph completion
A novel outlier detection approach based on formal concept analysis
GLDS-GCN: Dual-Stream graph convolutional network for skeleton-based abnormal action recognition
A graph approach for knowledge reduction in formal contexts
Optimizing readability using genetic algorithms
Constraint projections for semi-supervised affinity propagation
Fast data-oriented microaggregation algorithm for large numerical datasets
DistVAE: Distributed Variational Autoencoder for sequential recommendation
Clustering performance comparison of new generation meta-heuristic algorithms
Multiagent meta-model for strategic decision support
Mining combined causes in large data sets
Robust low-rank representation via residual projection for image classification
Learning a deep network with cross-hierarchy aggregation for crowd counting
From local verification to global reasoning: Exploiting slot-accompanying update for improved slot selection
High-dimensional hybrid feature selection using interaction information-guided search
An interval type-2 fuzzy clustering solution for large-scale multiple-criteria group decision-making problems
Revealing research themes and trends in knowledge management: From 1995 to 2010
Learning prototypes from background and latent objects for few-shot semantic segmentation
Evolving connectionist systems for adaptive learning and knowledge discovery: Trends and directions
Dynamic graph contrastive learning based on learnable view generators
A new two-layer nearest neighbor selection method for kNN classifier
Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation
A trust induced recommendation mechanism for reaching consensus in group decision making
Multi-domain dialogue state tracking via dual dynamic graph with hierarchical slot selector
PointTransform Networks for automatic depression level prediction via facial keypoints
Anomaly detection framework for unmanned vending machines
Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization
A hierarchical case representation using context guided retrieval
A case-based technique for tracking concept drift in spam filtering
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm
A Weighted Semi-supervised Possibilistic Fuzzy c-Means algorithm for data stream classification and emerging class detection
Controlling functional fixedness: the essence of successful reuse
A two-stage constructive method for the unweighted minimum string cover problem
Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers
A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps
Three-way decision spaces based on partially ordered sets and three-way decisions based on hesitant fuzzy sets
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
An Adaptive Machine Learning System for predicting recurrence of child maltreatment: A routine activity theory perspective
Decremental generalized discriminative common vectors applied to images classification
Visually meaningful triple images encryption algorithm based on 2D compressive sensing and multi-region embedding
A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data
CG-SQL: a front-end language for conceptual graph knowledge bases
A method for multiple attribute decision making with incomplete weight information under uncertain linguistic environment
DCTracker: Rethinking MOT in soccer events under dual views via cascade association
Adaptive bias-aware spatio-temporal graph neural network for time series classification with missing values
A lattice-based approach for mining most generalization association rules
DGT: Unbiased sequential recommendation via Disentangled Graph Transformer
A global contextual enhanced structural-aware transformer for sequential recommendation
Two-stage reverse knowledge distillation incorporated and Self-Supervised Masking strategy for industrial anomaly detection
SVDD boundary and DPC clustering technique-based oversampling approach for handling imbalanced and overlapped data
An ontology of strategic knowledge: key concepts and applications
Proximal three-way decisions: Theory and applications in social networks
CLIP-guided continual novel class discovery
Deep learning in ECG diagnosis: A review
Building energy consumption models based on smartphone user's usage patterns
Preserving high-order ego-centric topological patterns in node representation in heterogeneous graph
Hybrid optimization models of portfolio selection involving financial and ethical considerations
DyKOr: a method for generating the content of explanations in knowledge systems
GCFormer: Multi-scale feature plays a crucial role in medical images segmentation
Learning and fusing multiple hidden substages for action quality assessment
Learning distributed word representation with multi-contextual mixed embedding
Graph Enhanced Neural Interaction Model for recommendation
Decision rule mining using classification consistency rate
LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
A novel reinforcement learning based Heap-based optimizer
Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks
Learning node representation via Motif Coarsening
MC-LCR: Multimodal contrastive classification by locally correlated representations for effective face forgery detection
Residual visualization-guided explainable copy-relationship learning for image copy detection in social networks
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study
Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs
A real-time explainable traffic collision inference framework based on probabilistic graph theory
An idea generation support system for industrial designers (idea sketch processor)
A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
A data-driven bi-level program for knowledge-based signal control system under uncertainty
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm
A Long Short-Term Memory-based correlated traffic data prediction framework
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
Speeding up incremental wrapper feature subset selection with Naive Bayes classifier
MBCGP-FE: A modified balanced cartesian genetic programming feature extractor
Graph regularized sparse coding for 3D shape clustering
Multiple algorithms for fraud detection
ICADS expert design advisor: an aid to reflective thinking
Unsupervised domain adaptation via reliable pseudolabeling based memory module and dynamic distance threshold learning
Feature propagation as self-supervision signals on graphs
Multigroup spatial shift models for thermal infrared tracking
MHRN: A multi-perspective hierarchical relation network for knowledge graph embedding
Enhancing the noise robustness of sparse-form patches for image denoising
Lifelong learning method for intrusion detection of internet of things with class-attention fusion strategy
VCIF: Visually-compelling infrared and visible image fusion under darkness
An efficient ant colony optimization strategy for the resolution of multi-class queries
CoLE: A collaborative legal expert prompting framework for large language models in law
A way of designing knowledge based systems
Granular intents learning via mutual information maximization for knowledge-aware recommendation
A novel hybrid multi-regularization total variation model for edge-aware image smoothing
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016
An effective approach for the protection of user commodity viewing privacy in e-commerce website
On the form of parsed sentences for relation extraction
An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics
Active learning with joint probabilistic modeling for point cloud semantic segmentation
A graph-based relevance feedback mechanism in content-based image retrieval
Kohonen map-wise regression applied to interval data
DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights
TextJuggler: Fooling text classification tasks by generating high-quality adversarial examples
Semi-supervised dimensional sentiment analysis with variational autoencoder
A supernetwork-based online post informative quality evaluation model
Continual learning classification method with constant-sized memory cells based on the artificial immune system
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
Phrase embedding learning based on external and internal context with compositionality constraint
Measures of perceived end-user computing competency in an organizational computing environment
Rethinking self-supervised learning for time series forecasting: A temporal perspective
Regularly updated deterministic policy gradient algorithm
An ontological approach to automating collaboration and interaction analysis in groupware systems
Patch is effective for multivariate time series classification
CAWformer: A cross variable attention with discrete wavelet denoising for multivariate time series forecasting
An EEG-based perceptual function integration network for application to drowsy driving
Is It genuine or fake? Analyzing e-commerce reviews using large language models
Adaptive case-based reasoning using retention and forgetting strategies
Supporting healthcare management decisions via robust clustering of event logs
Are query-based ontology debuggers really helping knowledge engineers?
Joint-attention feature fusion network and dual-adaptive NMS for object detection
Knowledge-based system for material selection for design with new materials
Artificial intelligence frontiers in statistics AI and statistics III : D J Hand (Ed.)
EASC: An exception-aware semantic compression framework for real-world knowledge graphs
A ranking-based strategy to prune variable selection ensembles
Effective interrelation of Bayesian nonparametric document clustering and embedded-topic modeling
Note on "Bipolar fuzzy graphs with applications"
Consensus graph and spectral representation for one-step multi-view kernel based clustering
Sensor-based human activity recognition system with a multilayered model using time series shapelets
Building robust deep recommender systems: Utilizing a weighted adversarial noise propagation framework with robust fine-tuning modules
Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm
Entity alignment for temporal knowledge graphs via adaptive graph networks
Flexible entity marks and a fine-grained style control for knowledge based natural answer generation
A soft set approach for association rules mining
Design, implementation and evaluation of an adaptive user interface
An enhanced BiGAN architecture for network intrusion detection
A greedy variable neighborhood search heuristic for the maximal covering location problem with fuzzy coverage radii
Accelerated hyperbolic smoothing method for solving the multisource Fermat-Weber and k -Median problems
Decomposition and recombination. A soft cascade model for event detection
The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering
Gas open-set recognition and drift compensation via weighted adversarial fusion-domain adaptation network
INCOMPLETE multi-view clustering based on low-rank adaptive graph learning
DKD-MNet: Decoupled knowledge distillation and multimodal network for sEMG-based gesture recognition
Class-based tag recommendation and user-based evaluation in online audio clip sharing
Long-range forecasting in feature-evolving data streams
Adaptive Manifold Graph representation for Two-Dimensional Discriminant Projection
Pro-IDD: Pareto-based ensemble for imbalanced and drifting data streams
Weakly-supervised content-based video moment retrieval using low-rank video representation
Uncertain mean-variance and mean-semivariance models for optimal project selection and scheduling
Document-level multi-topic sentiment classification of Email data with BiLSTM and data augmentation
LUEM : Local User Engagement Maximization in Networks
Two-step dynamic obstacle avoidance
A multiple support vector machine approach to stock index forecasting with mixed frequency sampling
SCA: A Sine Cosine Algorithm for solving optimization problems
An innovative intelligent system based on automatic diagnostic feature extraction for diagnosing heart diseases
AUSAM: Adaptive Unified Segmentation Anything Model for multi-modality tumor segmentation and enhanced detection in medical imaging
SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences
Automated model generation for application traffic classification
MAR-GCN: A meta-action refinement graph convolutional network for skeleton-based human action recognition
Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy
Discovering knowledge combinations in multidimensional collaboration network: A method based on trust link prediction and knowledge similarity
Lightweight recurrent cross-modal encoder for video question answering
AspectC++: An integrated approach for static and dynamic adaptation of system software
Explainability in carbon price forecasting systems: A systematic literature review
Marshall-Olkin power-law distributions in length-frequency of entities
TFD-former: Time-frequency domain fusion decoders for effective and robust fault diagnosis under time-varying speeds
HAFE: A Hierarchical Awareness and Feature Enhancement Network for Scene Text Recognition
STCDesc: Learning deep local descriptor using similar triangle constraint
Adaptive fuzzy transformation for abnormal breast mass detection
Event causality identification via structure optimization and reinforcement learning
A 'non-parametric' version of the naive Bayes classifier
Fuzzy rough set based attribute reduction for information systems with fuzzy decisions
A named entity topic model for news popularity prediction
SDVD: Self-supervised dual-view modeling of user and cascade dynamics for information diffusion prediction
Markov clustering ensemble
Integrating implicit and explicit linguistic phenomena via multi-task learning for offensive language detection
Separate-and-conquer survival action rule learning
Hierarchical feature selection with subtree based graph regularization
Data-independent generation of targeted universal adversarial perturbations
Designing a realistic ICT closed loop supply chain network with integrated decisions under uncertain demand and lead time
Development of heuristic adapted serial-based deep learning for efficient adversarial malware detection framework in windows
Optimizing area under the ROC curve via extreme learning machines