yusuke1997/dblp-id-title huggingface dataset:
A fuzzy inhomogenous multiattribute group decision making approach to solve outsourcing provider selection problems
A spatial-spectral and temporal dual prototype network for motor imagery brain-computer interface
Optimal scale combination selection for dynamic generalized multi-scale interval-valued ordered data
TarGAN: Generating target data with class labels for unsupervised domain adaptation
CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT
A hybrid cognitive assessment based on ontology knowledge map and skills
GLLPA: A Graph Layout based Label Propagation Algorithm for community detection
A novel gray wolf optimizer with RNA crossover operation for tackling the non-parametric modeling problem of FCC process
Similarity classifier using similarities based on modified probabilistic equivalence relations
DELR : A double-level ensemble learning method for unsupervised anomaly detection
A Bottleneck Network with Light Attention for Multimodal Clustering
Enhancing accuracy of compressed Convolutional Neural Networks through a transfer teacher and reinforcement guided training curriculum
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Global pixel-value-ordering framework with dynamic sequence partition for reversible data hiding
Contrastive semantic disentanglement in latent space for generalized zero-shot learning
Maximizing the spread of influence via the collective intelligence of discrete bat algorithm
Cross-lingual query expansion in multilingual folksonomies: A case study on Flickr
A special issue on new trends in Intelligent Decision Support Systems
A novel decorrelated neural network ensemble algorithm for face recognition
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
LLM-powered explanations: Unraveling recommendations through subgraph reasoning
Co-attention networks based on aspect and context for aspect-level sentiment analysis
Multi-level correlation learning for multi-view unsupervised feature selection
Schrödinger optimizer: A quantum duality-driven metaheuristic for stochastic optimization and engineering challenges
Lightweight video object segmentation: Integrating online knowledge distillation for fast segmentation
BIAS: Bridging Inactive and Active Samples for active source free domain adaptation
A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
Incremental learning based multi-domain adaptation for object detection
Predicting academic performance by considering student heterogeneity
Reinforcement learning approach for optimal control of multiple electric locomotives in a heavy-haul freight train: A Double-Switch-Q-network architecture
Evaluation of supplier performance of high-speed train based on multi-stage multi-criteria decision-making method
AIMOES: Archive information assisted multi-objective evolutionary strategy for ab initio protein structure prediction
Domain-driven KDD for mining functionally novel rules and linking disjoint medical hypotheses
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification
A multilingual text mining approach to web cross-lingual text retrieval
Source-free open-set domain adaptation via unknown-aware global-local learning
Your neighbors alleviate cold-start: On geographical neighborhood influence to collaborative web service QoS prediction
Multiple kernel subspace clustering with local structural graph and low-rank consensus kernel learning
FindMal: A file-to-file social network based malware detection framework
A probabilistic approach towards an unbiased semi-supervised cluster tree
Enhancing security in IoT-based photovoltaic monitoring with hybrid key management and deep learning optimized routing
Output space transfer based multi-input multi-output Takagi-Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace
Cross-discipline cold-start knowledge tracing via overlapping entities and contrastive learning
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
Topic sensitive hybrid expertise retrieval system in community question answering services
Local feature based multi-view discriminant analysis
In-hospital resource utilization prediction from electronic medical records with deep learning
A new method for ensemble combination based on adaptive decision making
A parallel and constraint induced approach to modeling user preference from rating data
Negotiation in collaborative activity: a discourse analysis
Deep attention fuzzy cognitive maps for interpretable multivariate time series prediction
Information-based dissimilarity assessment in Dempster-Shafer theory
Semi-supervised intrusion detection system for in-vehicle networks based on variational autoencoder and adversarial reinforcement learning
Consensus cluster structure guided multi-view unsupervised feature selection
A knowledge-based decision support system for measuring enterprise performance
Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models
An uncertainty-based approach: Frequent itemset mining from uncertain data with different item importance
Adaptive anchor-based attention networks for large-scale sparse bipartite graph embedding
Multi-bridge transfer learning
Parallel learner: A practical deep reinforcement learning framework for multi-scenario games
Context-sensitive trust computing in distributed environments
Multi-objective task scheduling method for cyber-physical-social systems in fog computing
Non-blind post-processing algorithm for remote sensing image compression
Balanced scheduling of distributed workflow tasks based on clustering
The role of artificial intelligence in knowledge management
Weighted objective distance for the classification of elderly people with hypertension
Automatic sleep stages classification using optimize flexible analytic wavelet transform
Designing and training of a dual CNN for image denoising
Automated control of an actively compensated Langmuir probe system using simulated annealing
Introduction to knowledge-based neural networks
Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks
Perspective Shifts: Cultivating Teacher Diversity in Online Knowledge Distillation
Three-way neighborhood based stream computing for incomplete hybrid information system
Hybrid artificial electric field algorithm for assembly line balancing problem with equipment model selection possibility
Improving cross-lingual representation for semantic retrieval with code-switching
A similarity learning network for unsupervised deformable brain MRI registration
BAL-SNN: balanced active learning for spiking neural networks
Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach
Pixel type classification based reversible data hiding for hyperspectral images
Near-synonym substitution using a discriminative vector space model
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data
Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning
Learning to rank with document ranks and scores
Effective multi-view representation learning for single-view attributed graph clustering
Deep shared representation learning for weather elements forecasting
Hierarchical and complementary experts transformer with momentum invariance for image-text retrieval
Generating high-quality texture via panoramic feature aggregation for large mask inpainting
Deep learning based multimodal emotion recognition using model-level fusion of audio-visual modalities
NDRIDC: NMF-based deep representation algorithm for incomplete data clustering
A data mining approach to discover unusual folding regions in genome sequences
A user-centred evaluation of DisCERN: Discovering counterfactuals for code vulnerability detection and correction
BDCore: Bidirectional Decoding with Co-graph Representation for Joint Entity and Relation Extraction
Decision support system to improve postoperative discharge: A novel multi-class classification approach
Supervised kernel principal component analysis-polynomial chaos-Kriging for high-dimensional surrogate modelling and optimization
A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs
Hierarchical task network planning with resources and temporal constraints
MSVQ: Self-supervised learning with multiple sample views and queues
Dual Prototype Contrastive learning with Fourier Generalization for Domain Adaptive Person Re-identification
Biologically inspired layered learning in humanoid robots
Intrinsic-style distribution matching for arbitrary style transfer
A fast scheme for multilevel thresholding based on a modified bees algorithm
An evolutionary trend reversion model for stock trading rule discovery
Discriminative and informative joint distribution adaptation for unsupervised domain adaptation
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
Finding relevant knowledge in a knowledge base of linear logic
MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords
Utilizing transfer learning for in-domain collaborative filtering
Evolving spatial representations to support innovation and the communication of strategic knowledge
DeepVATS: Deep Visual Analytics for Time Series
Diversity measure as a new drift detection method in data streaming
Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling
MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network
TeReKG: A temporal collaborative knowledge graph framework for software team recommendation
A scattering and repulsive swarm intelligence algorithm for solving global optimization problems
Dual-domain low-light image enhancement with hierarchical illumination guidance
Automatic aerospace weld inspection using unsupervised local deep feature learning
Addressing cold-start: Scalable recommendation with tags and keywords
Prior class dissimilarity based linear neighborhood propagation
Learning incremental audio-visual representation for continual multimodal understanding
Emergent in-place, comparison-based sorting in deep Q-networks
Vehicle trajectory prediction considering aleatoric uncertainty
Lightweight multi-scale distillation attention network for image super-resolution
Quickly calculating reduct: An attribute relationship based approach
Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data
QUasi-Affine TRansformation Evolution with External ARchive (QUATRE-EAR): An enhanced structure for Differential Evolution
Effective approaches for mining correlated and low-average-cost patterns
One Dependence Value Difference Metric
A stacking ensemble of deep learning models for IoT intrusion detection
A user-extensible and adaptable parser architecture
An intelligent agent-based architecture for strategic information system applications
CODdiff: Prior leading diffusion model for Camouflage Object Detection
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
Knowledge acquisition using VRML and the unified modelling language: the case of the RGB computer room
Sematch: Semantic similarity framework for Knowledge Graphs
An adaptive deep learning method for item recommendation system
Fed-MWFP: Lightweight federated learning with interpretable multiple wavelet fusion network for fault diagnosis under variable operating conditions
Privacy-preserving trend surface analysis on partitioned data
TABLE: Time-aware Balanced Multi-view Learning for stock ranking
Modelling software processes in a knowledge base: the case of information systems
A solution technique to cascading link failure prediction
iMCOD: Incremental multi-class outlier detection model in data streams
Hybrid agent-based methodology for testing response protocols
Multi-granularity feature alignment network for unsupervised domain adaptation of medical image classification
Efficient algorithms for optimal path planning of unmanned aerial vehicles in complex three-dimensional environments
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion
Beta network for boundary detection under nondeterministic labels
Embedding word positions with polar coordinates
ST-LBAGAN: Spatio-temporal learnable bidirectional attention generative adversarial networks for missing traffic data imputation
MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction
The parallel visual perception network based on nonlinear spiking neural P systems for camouflaged object detection
Relation-aware multiplex heterogeneous graph neural network
Imbalanced deep transfer network for fault diagnosis of high-speed train traction motor bearings
Prediction of missing links based on community relevance and ruler inference
Big Data knowledge discovery
An analytical threshold for combining Bayesian Networks
Dynamic network security leveraging efficient CoviNet with granger causality-inspired graph neural networks for data compression in cloud IoT Devices
Using terms and informal definitions to classify domain entities into top-level ontology concepts: An approach based on language models
A fuzzy TOPSIS model via chi-square test for information source selection
Time-frequency domain coupling-Oriented knowledge tracing via learning behavior decoupling
Hybrid multiple objective artificial bee colony with differential evolution for the time-cost-quality tradeoff problem
Contrastive zero-shot relational learning for knowledge graph completion
Comparative study on the time series forecasting of web traffic based on statistical model and Generative Adversarial model
Case-based reasoning in steel bridge engineering
An improved multi-strategy Golden Jackal algorithm for real world engineering problems
Temporal latent diffusion model for machine degradation trend forecasting
Exploring the effect of emotions in human-machine dialog: An approach toward integration of emotional and rational information
An agent-based model for understanding the influence of the 11-M terrorist attacks on the 2004 Spanish elections
An online transfer learning based multifactorial evolutionary algorithm for solving the clustered Steiner tree problem
Human action recognition approaches with video datasets - A survey
M2-Net: multi-view learning multi-scale fusion network for image tampering detection
A novel interval-valued three-way decision theory under multiple criteria environment
Boundary-enhanced time series data imputation with long-term dependency diffusion models
Like or dislike? capturing heterogeneity in social recommendation via motif-induced capsules
A federated evolving computing architecture for fault inspection in textile manufacturing
Domain adaptation for regression under Beer-Lambert's law
Fisheye Matching: viewpoint-sensitive feature generation based on concept structure
Diverse and tailored image generation for zero-shot multi-label classification
TPLUFIB-WEB: A fuzzy linguistic Web system to help in the treatment of low back pain problems
Robust subspace clustering via multi-affinity matrices fusion
An enhanced residual learning framework for Graph Neural Networks based on Dual Random Walk
Efficient locality weighted sparse representation for graph-based learning
Evaluating a dendritic neuron model for wind speed forecasting
CIDNet: Cross-Scale Interference Mining Detection Network for underwater object detection
A-SFS: Semi-supervised feature selection based on multi-task self-supervision
AGMS-GCN: Attention-guided multi-scale graph convolutional networks for skeleton-based action recognition
Game-theoretic rough sets for recommender systems
Fuzzy decision implications
Mittag-Leffler synchronization and stability analysis for neural networks in the fractional-order multi-dimension field
OD-DDA: Real-Time Object Detector with Dual Dynamic Adaptation in Variable Scenes
Improving performance and efficiency of Graph Neural Networks by injective aggregation
Matrix approach to decision-theoretic rough sets for evolving data
Modeling of fuzzy-based voice of customer for business decision analytics
Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification
gMatch: Knowledge base question answering via semantic matching
Diff-RCformer: A diffusion-augmented Recursive Context Transformer for image super-resolution
Decision making matters: A better way to evaluate trust models
AGHINT: Attribute-guided representation learning on heterogeneous information networks with transformer
Enhancing fake review detection: A robust and adaptive approach for data streams
A link prediction approach for item recommendation with complex number
An improved and random synthetic minority oversampling technique for imbalanced data
A change type-based self-adaptive response strategy for dynamic multi-objective optimization
New approach to solving the clustered shortest-path tree problem based on reducing the search space of evolutionary algorithm
Deep neural network framework and transformed MFCCs for speaker's age and gender classification
Computing marginal probabilities in causal inverted binary trees given incomplete information
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation
Generating customer's credit behavior with deep generative models
A Quadruplet Deep Metric Learning model for imbalanced time-series fault diagnosis
A novel semi-supervised prototype network with two-stream wavelet scattering convolutional encoder for TBM main bearing few-shot fault diagnosis
Survey on computational-intelligence-based UAV path planning
DAMR: Multi-scale graph contrastive learning with dynamic adjustment and mutual rectification
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Reduce before you factorize: A simple scheme for Boolean matrix factorization
Time-series based bridge damage diagnosis using a novel graph transformer with vector quantization
DFGCN: Decoupled dual-flow dynamic graph convolutional network for multivariate time series forecasting
Vision-based 3D semantic scene completion via capture dynamic representations
Emerging topic tracking system in WWW
A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection
GAEFS: Self-supervised Graph Auto-encoder enhanced Feature Selection
Sequential ensemble learning for next item recommendation
A dynamic stochastic decision-making method based on discrete time sequences
A novel double pruning method for imbalanced data using information entropy and Roulette wheel selection for breast cancer diagnosis
On the axiomatization of some classes of discrete universal integrals
A fast parallel attribute reduction algorithm using Apache Spark
Protein-ligand docking using differential evolution with an adaptive mechanism
STTraj2Vec: A spatio-temporal trajectory representation learning approach
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples
Operator transfer learning for physics field prediction on complex geometries with limited labelled data
Dual-decoder graph autoencoder for unsupervised graph representation learning
Global and local metric learning via eigenvectors
Entrainment, dominance and alliance in supreme court hearings
Multi-modal data augmentation based on masked modeling for image-text retrieval
HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
A commonsense-infused language-agnostic learning framework for enhancing prediction of political bias in multilingual news headlines
An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification
Knowledge-collector agents: Applying intelligent agents in marketing decisions with knowledge management approach
An architecture for cooperative information systems
Dual attention focus network for few-shot skeleton-based action recognition
LECM: A model leveraging emotion cause to improve real-time emotion recognition in conversations
Latent feature learning via autoencoder training for automatic classification configuration recommendation
Active learning based support vector data description method for robust novelty detection
Adversarial transfer learning for cross-domain visual recognition
MSFGAN: A multi-source federated generative learning paradigm for robust traffic data imputation
Towards robust infrared small target detection: A feature-enhanced and sensitivity-tunable framework
Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes
Aspect-level sentiment analysis with aspect-specific context position information
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support
Hierarchical spatial-aware Siamese network for thermal infrared object tracking
Minimum deviation distribution machine for large scale regression
Self-supervised representation learning by predicting visual permutations
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification
Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems
Multi-modal trajectory forecasting with Multi-scale Interactions and Multi-pseudo-target Supervision
Group decision-making based on complex spherical fuzzy VIKOR approach
Spatiotemporal isomorphic cross-brain region interaction network for cross-subject EEG emotion recognition
Evolutionary gravitational Neocognitron neural network based differential spatial modulation detection scheme for uplink multiple user huge MIMO systems
Towards secure and practical machine learning via secret sharing and random permutation
Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting
Leveraging label semantics and meta-label refinement for multi-label question classification
Conflict group decision training: model and system
Ramp loss nonparallel support vector machine for pattern classification
Improving the transferability of adversarial examples through neighborhood attribution
Touchless palmprint recognition based on 3D Gabor template and block feature refinement
Enhanced Butterfly Optimization Algorithm with a New fuzzy Regulator Strategy and Virtual Butterfly Concept
Unsupervised word-level affect analysis and propagation in a lexical knowledge graph
An accurate quantitative analysis model for Martian-like mineral elements using Bi-LSTM coupled with whale optimization algorithm
Conceptual and semantic structures
Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction
A survey of language-grounded multimodal 3D scene understanding
S2EFT: Spectral-Spatial-Elevation Fusion Transformer for hyperspectral image and LiDAR classification
Rule by example: an example-based approach to knowledge-base management
ConUMIP: Continuous-time dynamic graph learning via uncertainty masked mix-up on representation space
Which domain fits best? domain similarity measures for two-step heterogeneous transfer learning for early laryngeal cancer diagnosis
BSDSGANet: Bidirectional Skip-stored Dual-Stream Gated Attention Network for multivariate time series classification
A method for extracting rules from spatial data based on rough fuzzy sets