yusuke1997/dblp-id-title huggingface dataset:
Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective
Deep transfer learning with metric structure for fault diagnosis
A differentially private location generalization approach to guarantee non-uniform privacy in moving objects databases
Spam email classification based on cybersecurity potential risk using natural language processing
Ontology-based annotation and retrieval of services in the cloud
An efficient mining of weighted frequent patterns with length decreasing support constraints
A hybridized multi-algorithm strategy for engineering optimization problems
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer
A token selection-based multi-scale dual-branch CNN-transformer network for 12-lead ECG signal classification
Deep learning approach on information diffusion in heterogeneous networks
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images
Enhancing the robustness of influential seeds towards structural failures on competitive networks via a Memetic algorithm
Novel fruit fly optimization algorithm with trend search and co-evolution
A concise but high-performing network for image guided depth completion in autonomous driving
A residual convolutional neural network based approach for real-time path planning
BACFormer: A robust boundary-aware transformer for medical image segmentation
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts
TBSM: A traffic burst-sensitive model for short-term prediction under special events
A fuzzy social network centrality analysis model for interpersonal spatial relations
Continual learning classification method with the weighted k -nearest neighbor rule for time-varying data space based on the artificial immune system
Comparison study of orthonormal representations of functional data in classification
Weakly-supervised contrastive learning-based implicit degradation modeling for blind image super-resolution
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets
OptNet: Optimization-inspired network beyond deep unfolding for structural artifact reduction
ICCL: Independent and Correlative Correspondence Learning for few-shot image classification
Improving vessel connectivity in retinal vessel segmentation via adversarial learning
The Structured Smooth Adjustment for Square-root Regularization: Theory, algorithm and applications
KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation
Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction
Deep learning-based imputation framework for bridge health monitoring using generative adversarial networks
Partial attribute reduction approaches to relation systems and their applications
Dynamic multi-knowledge evolutionary algorithm for sparse large-scale multi-objective optimization
ESPPTD: An efficient slicing-based privacy-preserving truth discovery in mobile crowd sensing
Optimum estimation of missing values in randomized complete block design by genetic algorithm
Optical-to-SAR domain adaptation with inversion regularization for unsupervised ship detection
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification
Redesign and reuse in compositional knowledge-based systems
Fuzzy granular deep convolutional network with residual structures
Multi-view self-attention networks
Autonomous cell activation for energy saving in cloud-RANs based on dueling deep Q-network
A novel decision probability transformation method based on belief interval
Effective Bayesian-network-based missing value imputation enhanced by crowdsourcing
Construction of semantic bootstrapping models for relation extraction
Towards fidelity of graph data augmentation via equivariance
Data mining techniques for the screening of age-related macular degeneration
NWGformer: A linear graph transformer with non-linear re-weighting of attention scores
Spatially-variant noise filtering in magnetic resonance imaging: A consensus-based approach
RACEkNN: A hybrid approach for improving the effectiveness of the k-nearest neighbor algorithm
A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data
Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction
DHGECON: A multi-round conversational recommendation method based on dynamic heterogeneous encoding
Framework for building rule-based machine diagnostic expert systems
DviT: Debiased variational inference for multi-modal mutual prompt tuning
Semi-supervised neighborhood discrimination index for feature selection
Enhancing associative classification on imbalanced data through ontology-based feature extraction and resampling
DPNet: A dual prototype few-shot semantic segmentation network for crack detection
Spatial-gate self-distillation network for efficient image super-resolution
A three-stage algorithm on community detection in social networks
Rolling mill fault diagnosis under limited datasets
SybilFlyover: Heterogeneous graph-based fake account detection model on social networks
Expert systems: strategic implications and applications: A C Beerel Ellis Horwood Ltd (1988) £22.50, ISBN 0-7458-0251-6, 173pp
Deep representation-based transfer learning for deep neural networks
A two-phase gene selection method using anomaly detection and genetic algorithm for microarray data
An integrated method for shared power bank supplier selection based on linguistic hesitant fuzzy multi-criteria group decision making
Feature selection via maximizing global information gain for text classification
Spectral feature perception evolving network for hyperspectral image classification
Symmetry of ignorance, social creativity, and meta-design
A CNN-Bi_LSTM parallel network approach for train travel time prediction
A blended E-learning experience in a course of object oriented programming fundamentals
Two-sided matching model for assigning volunteer teams to relief tasks in the absence of sufficient information
FPGA implementation of QUasi-Affine TRansformation evolutionary algorithm
FedPAD: Aggregation-free federated learning with prototype-based adaptive distillation
Explaining multimodal CNN-DNN model predictions for quality monitoring of porosity in laser metal deposition
Wavelet-based dual discriminator GAN for image super-resolution
Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations
An effectiveness measurement model for knowledge management
A multi-feature fusion model for Chinese relation extraction with entity sense
Knowledge-based systems to enhance learning: A case study on formal languages and automata theory
Leveraging question target word features through semantic relation expansion for answer type classification
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees
A robust operators' cognitive workload recognition method based on denoising masked autoencoder
Contrastive learning-based knowledge distillation for RGB-thermal urban scene semantic segmentation
Learning Bayesian networks based on order graph with ancestral constraints
Using machine learning in combinatorial optimization: Extraction of graph features for travelling salesman problem
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set
Multigranulation fuzzy rough set over two universes and its application to decision making
A probabilistic approach to fraud detection in telecommunications
STL-SATVNet: STL Decomposition and self-attention-based time-varying neural network for multi-scale forecasting of multivariate time-series
Label smoothing regularization-based no hyperparameter domain generalization
An improved genetic programming technique for the classification of Raman spectra
Deploying embodied AI into virtual worlds
Cognitive memory-inspired sentence ordering model
HA-GCEN: Hyperedge-abundant graph convolutional enhanced network for hate speech detection
A multimodal hierarchical approach to speech emotion recognition from audio and text
Light-weight UAV object tracking network based on strategy gradient and attention mechanism
Group role assignment strategies in microservices team based on E-CARGO model
Beyond clean data: Exploring the effects of label noise on object detection performance
Automatic generation of meteorological briefing by event knowledge guided summarization model
Knowledge-based system and expectation-maximization to discovering causes of imperfect labels in vehicular networks clustering
A novel spatio-temporal feature interleaved contrast learning neural network from a robustness perspective
Planar-mirror reflection imaging learning based seagull optimization algorithm for global optimization and feature selection
A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines
Geometrically-guided transformer with volume-pose positional encoding for multi-view stereo
Web@IDSS - Argumentation-enabled Web-based IDSS for reasoning over incomplete and conflicting information
Balancer: Temporal knowledge graph embedding for novel events reasoning with contrastive learning
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
Proposed quaternion fractional dual-Hahn moments for color image reconstruction and encryption
Integrating textual analysis and evidential reasoning for decision making in Engineering design
Arpeggio: A flexible PEG parser for Python
Understanding behaviors of a constructive memory agent: A markov chain analysis
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation
Sequences and nodes: Probability-guided contrastive learning for hierarchical text classification
TPEMatcher: A tool for searching in parsed text corpora
Bilinear low-rank coding framework and extension for robust image recovery and feature representation
Knowledge-aware evolutionary graph neural architecture search
Analysis of power asymmetry conflict based on fuzzy options graph models
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation
Aspect-level sentiment classification based on attention-BiLSTM model and transfer learning
Programmable applications for the arts: computational tools for hand, eye and mind
Essential tensor learning for multimodal information-driven stock movement prediction
Industrial time series determinative anomaly detection based on constraint hypergraph
ProDG: A proxy-domain-guiding strategy for multi-source-free domain adaptation in EEG emotion recognition
Parallel mining of OWL 2 EL ontology from large linked datasets
Graph out-of-distribution generalization through contrastive learning paradigm
Feature matching driven background generalization neural networks for surface defect segmentation
An efficient algorithm for isometrically embedding weighted trees into low-dimensional ℓ∞-normed spaces
A multi-task based deep learning approach for intrusion detection
Variable precision multigranulation decision-theoretic fuzzy rough sets
Optimized fingerprint crime detection using robust deformed convolutional neural network for 5G network secure smart cities
Optimizing dam and reservoirs operation based model utilizing shark algorithm approach
An intellectual intrusion detection system using Hybrid Hunger Games Search and Remora Optimization Algorithm for IoT wireless networks
Optimal design of IIR wideband digital differentiators and integrators using salp swarm algorithm
Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild
SGCL: Semi-supervised Graph Contrastive Learning with confidence propagation algorithm for node classification
Long-term multivariate time series forecasting in data centers based on multi-factor separation evolutionary spatial-temporal graph neural networks
CDRM: Causal disentangled representation learning for missing data
Using Twitter trust network for stock market analysis
Evolutionary-based selection of generalized instances for imbalanced classification
Recursive Counterfactual Deconfounding for image recognition
A novel deep gated network model for explainable diabetes mellitus prediction at early stages based on trustworthy data
A research framework for Web-based open decision support systems
Sequential hash representation for deep hashing-based image retrieval
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data
Lightweight image super-resolution for IoT devices using deep residual feature distillation network
Emotion recognition using cross-modal attention from EEG and facial expression
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems
Coronary artery disease detection using computational intelligence methods
SPR: Similarity pairwise ranking for personalized recommendation
Sentiment-aware volatility forecasting
Projected-prototype based classifier for text categorization
Stackelberg game optimization for integrated production-distribution-construction system in construction supply chain
CKTN: Commonsense knowledge transfer network for human activity understanding
Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems
An Improved Heterogeneous Comprehensive Learning Symbiotic Organism Search for Optimization Problems
Multi-Dimensional Manifolds Consistency Regularization for semi-supervised remote sensing semantic segmentation
Two-level speech recognition to enhance the performance of spoken dialogue systems
METoNR: A meta explanation triplet oriented news recommendation model
T2L: Trans-transfer Learning for few-shot fine-grained visual categorization with extended adaptation
Asymmetric lightweight cryptographic-based secure routing technique in IoT-based WSN via optimal path selection using hybrid optimization algorithm
A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people
Structural residual learning for single image rain removal
A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine
Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models
Dempster-Shafer belief structures for decision making under uncertainty
Source-free semi-supervised domain adaptation via progressive Mixup
FedDFS: Data filtering for stable federated learning
An improved teaching-learning-based optimization algorithm with a modified learner phase and a new mutation-restarting phase
Fuzzy C-Means clustering of incomplete data based on probabilistic information granules of missing values
Usage and generality of knowledge in the interpretation of diagrams
Gradient consistency strategy cooperative meta-feature learning for mixed domain generalized machine fault diagnosis
Dynamic Successor Features for transfer learning and guided exploration
Weakly supervised setting for learning concept prerequisite relations using multi-head attention variational graph auto-encoders
Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects
ConEm: A novel framework for integrating external factors with inner and outer correlations in time series forecasting
Quantum Probability-inspired Graph Attention Network for Modeling Complex Text Interaction
Privacy-preserving SOM-based recommendations on horizontally distributed data
Functional grammar and the computer: Functional Grammar Series No 10 H Connolly and S C Dik (Eds.)
Multi-domain weakly decoupled domain generalization network for fault diagnosis under unknown operating conditions
Learning higher-order features for relation prediction in knowledge hypergraph
SPIRF-CTA: Selection of parameter importance levels for reasonable forgetting in continuous task adaptation
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
Synthetic tabular data generation using a VAE-GAN architecture
Learning a robust classifier for short-term traffic state prediction
A new fast ADMM for kernelless SVM classifier with truncated fraction loss
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions
MP-CLF: An effective Model-Preserving Collaborative deep Learning Framework for mitigating data leakage under the GAN
A human-like description of scene events for a proper UAV-based video content analysis
YOLO-ACR: A new architecture for real-time object detection with advanced feature fusion and bounding box regression
Text-guided image-to-sketch diffusion models
A lightweight intrusion detection algorithm for IoT based on data purification and a separable convolution improved CNN
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Chaotic neural network algorithm with competitive learning for global optimization
Beyond the macho approach of artificial intelligence: empower human designers - do not replace them
A saddle point-guided clustering algorithm for data with complex structure
Item orientated recommendation by multi-view intact space learning with overlapping
DTAAD: Dual Tcn-attention networks for anomaly detection in multivariate time series data
AdapFedRec: A framework for enhanced federated recommendations with adaptive client aggregation and sampling
Graph neural networks with multiple kernel ensemble attention
Image-text sentiment analysis via deep multimodal attentive fusion
Enhancing personalized trip recommendations with attractive route analysis and graph attention auto-encoder
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
A convolutional neural network with sparse representation
Label completion based concept factorization for incomplete multi-view clustering
Video sentiment analysis with bimodal information-augmented multi-head attention
An attention driven long short term memory based multi-attribute feature learning for shot boundary detection
Multi-view classification with cross-view must-link and cannot-link side information
GA-Based Heuristic Algorithms for QoS Based Multicast Routing
Incremental approaches for updating approximations in set-valued ordered information systems
Mapping RDF knowledge bases using exchange samples
Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods
Exchanging courses between different Intelligent Tutoring Systems: A generic course generation authoring tool
Ontology usage analysis in the ontology lifecycle: A state-of-the-art review
Controllable facial protection against malicious translation-based attribute editing
Silog: Speech input logon
Temporal Motif-Aware time series modeling via subsequence dynamics graph structures
An inverse reinforcement learning framework with the Q-learning mechanism for the metaheuristic algorithm
Cellular teaching-learning-based optimization approach for dynamic multi-objective problems
A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution
NewsReader: Using knowledge resources in a cross-lingual reading machine to generate more knowledge from massive streams of news
A comprehensive analysis for multi-objective distributed generations and capacitor banks placement in radial distribution networks using hybrid neural network algorithm
MOLS-Net: Multi-organ and lesion segmentation network based on sequence feature pyramid and attention mechanism for aortic dissection diagnosis
Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series
Rule-based algorithms for geographic constraints in a marine knowledge-based system
Automatic orientation detection of abstract painting
ZRENet: A 3D-guided generative framework for zero-shot restoration of highly compressed talking face videos
Personalizing user-agent interaction
Multi-granularity visual explanations for CNN
TimeParticle: Particle-like multiscale state space models for time series forecasting
Cost-sensitive meta-learning classifiers: MEPAR-miner and DIFACONN-miner
MDSSN: An end-to-end deep network on triangle mesh parameterization
A proposal to extend Relational Concept Analysis with fuzzy scaling quantifiers
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems
PODI: A Private Object Detection Inference framework for autonomous vehicles
Group theory-based optimization algorithm for solving knapsack problems
Social network pruning for building optimal social network: A user perspective
A malicious feature detection and prevention mechanism with BRDH approach for improved security in Homomorphic Blockchain
A bi-level belief rule based decision support system for diagnosis of lymph node metastasis in gastric cancer
Transfer robust sparse coding based on graph and joint distribution adaption for image representation
A new feature reconstruction method and multilabel ensemble strategy for non-intrusive load recognition
An intelligent and interpretable rule-based metaheuristic approach to task scheduling in cloud systems
Efficient m-closest entity matching over heterogeneous information networks
An efficient subscription index for publication matching in the cloud
Traffic prediction and mitigation in 6G software-defined networks using bobcat Bi-GRU and reinforcement learning based on proximal policy optimization
Discrete Fusion Adversarial Hashing for cross-modal retrieval
Smart Buyer: A Bayesian Network modelling approach for measuring and improving procurement performance in organisations
Effective constructive heuristic and iterated greedy algorithm for distributed mixed blocking permutation flow-shop scheduling problem
GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting
Few-shot activity learning by dual Markov logic networks
Sequential decomposition and attribution for trajectory forecasting
Fuzzy partitioning for clinical DSSs using statistical information transformed into possibility-based knowledge
GRAMP: A gene ranking and model prioritisation framework for building consensus genetic networks
A tree-like structured perceptron for transition-based biomedical event extraction
A multi-criteria evaluation approach in navigation technique for micro-jet for damage & need assessment in disaster response scenarios
Lattice-valued matrix game with mixed strategies for intelligent decision support
A confidence-based knowledge integration framework for cross-domain table question answering
Distributed artificial intelligence: Theory and praxis : N M Avouris and L Gasser (Eds.)
A neural network framework for fine-grained tropical cyclone intensity prediction
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
Deep domain-adversarial anomaly detection with robust one-class transfer learning
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment
Community evolution prediction based on a self-adaptive timeframe in social networks
Multi-strategy co-evolutionary differential evolution for mixed-variable optimization
Indicator and reference points co-guided evolutionary algorithm for many-objective optimization problems