yusuke1997/dblp-id-title huggingface dataset:
CoWNet: A correlation weighted network for geological hazard detection
Intelligent Naïve Bayes-based approaches for Web proxy caching
Nearest and farthest spatial skyline queries under multiplicative weighted Euclidean distances
Local High-order Structure-aware Graph Neural Network for motif prediction
JBiclustGE: Java API with unified biclustering algorithms for gene expression data analysis
BCLNet: Boundary contrastive learning with gated attention feature fusion and multi-branch spatial-channel reconstruction for land use classification
Joint Visual and Semantic Optimization for zero-shot learning
Partial distance evidential clustering for missing data with multiple imputation
TA4L: Efficient temporal abstraction of multivariate time series
Enhancing medical MLLMs with dual vision encoders and MoE-based modality projector
Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning
OCPNet: A deep learning model for online cloud load prediction
A cross-domain retrieval method for a sketch-based 3D part model based on feature fusion of a double-layer hypergraph
Enhancing general-purpose tools with multi-state previewing capabilities
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding
Local Metric NER: A new paradigm for named entity recognition from a multi-label perspective
Corrigendum to "Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace" [Knowl.-Based Syst. 36 (2012) 280-287]
Semantic knowledge abstraction: Consistent reasoning in large language models for natural language inference
Approximate erasable pattern discovery and analytics on stream data
Efficient discriminative clustering via QR decomposition-based Linear Discriminant Analysis
A blockchain-based framework for federated learning with privacy preservation in power load forecasting
A contrastive framework for enhancing Knowledge Graph Question Answering: Alleviating exposure bias
Collaborative association networks with cross-level attention for session-based recommendation
Network Alignment enhanced via modeling heterogeneity of anchor nodes
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop
Bio-inspired Active Learning method in spiking neural network
Stable sparse subspace embedding for dimensionality reduction
Label propagation with structured graph learning for semi-supervised dimension reduction
Extended representation of the conceptual element in temporal context and the diachronism of the knowledge system
A graph-guided network with adaptive evaluation and improvement for disturbed sensors in fault-tolerant soft sensor modeling
Spiking neural network classification of X-ray chest images
Knowledge-augmented encoder for few-shot deep intent recognition in air traffic control
Improving evolutionary constrained clustering using Active Learning
Accelerating long-context inference of large language models via dynamic attention load balancing
Personalized service selection using Conditional Preference Networks
A zero-shot deep metric learning approach to Brain-Computer Interfaces for image retrieval
Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations
NPMFF-Net: A training-free unified framework for point cloud classification and segmentation
Remote sensing image recovery via enhanced residual learning and dual-luminance scheme
CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation
Multi-interest sequential recommendation with contrastive learning and temporal analysis
IFS/ER-based large-scale multiattribute group decision-making method by considering expert knowledge structure
Consensus reaching for social network group decision making by considering leadership and bounded confidence
CNAVER: A Content and Network-based Academic VEnue Recommender system
Graph neural entity disambiguation
HDNet: Human-like discrimination with visual key for few-shot cross-domain object detection
Spectral clustering with discriminant cuts
Knowledge engineering as cross-examination
FIF: A fuzzy information fusion algorithm based on multi-criteria decision making
Classifier ensemble based source-free domain adaptation for time series classification
Opposition-based learning for competitive hub location: A bi-objective biogeography-based optimization algorithm
SIAEF/PoE: Accountability of Earnestness for encoding subjective information in Blockchain
A new binary hybrid particle swarm optimization with wavelet mutation
Combining user behavioural information at the feature level to enhance continuous authentication systems
Enhancing the experience of users regarding the email classification task using labels
TFC: Time-frequency contrasting network for wearable-based human activity recognition
Robust contrastive knowledge distillation for long-tailed noisy class labels
Linear versus nonlinear dimensionality reduction for banks' credit rating prediction
Multi-view semantic understanding for visual dialog
Transferable and discriminative broad network for unsupervised domain adaptation
Supervised contrastive learning for recommendation
Real formal concept analysis based on grey-rough set theory
CUDA-based parallel local search for the set-union knapsack problem
SiamSTC: Updatable Siamese tracking network via Spatio-Temporal Context
An adaptive Drop method for deep neural networks regularization: Estimation of DropConnect hyperparameter using generalization gap
IA-MUNet: A knowledge-guided instance-aware mamba-UNet for efficient multiclass dental image segmentation
A dynamic multi-objective optimization evolutionary algorithm for complex environmental changes
Multimodal deep fusion for image question answering
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM
Towards COVID-19 fake news detection using transformer-based models
SPAN: A self-paced association augmentation and node embedding-based model for software bug classification and assignment
Expert systems markets and suppliers
Multifactor and multiscale method for power load forecasting
Multi-modal fusion of palm-dorsa vein pattern for accurate personal authentication
Multilevel information compression and textual information enhancement for multimodal sentiment analysis
Integrating fuzzy data mining and fuzzy artificial neural networks for discovering implicit knowledge
Multi-level thresholding using quantum inspired meta-heuristics
EchoNet: A hierarchical collaborative network for point cloud-based 3D action recognition
A new visualization method in many-objective optimization with chord diagram and angular mapping
Dual-domain attention-guided convolutional neural network for low-dose cone-beam computed tomography reconstruction
Private classification with limited labeled data
CausalEnhance: knowledge-enhanced pre-training for causality identification and extraction
Multiple feature similarities based heterogeneous graph representation
Cross-domain image translation with a novel style-guided diversity loss design
Continual learning by gradient monitoring for remaining useful lifetime estimation
Cross-domain data fusion generation: A novel composite label-guided generative solution for adaptation diagnosis
Minimum variance weighted broad cascade network structure for imbalanced classification
Optimal Entropy Genetic Fuzzy-C-Means SMOTE (OEGFCM-SMOTE)
Fast truncated Huber loss SVM for large scale classification
Few-shot 3D point cloud segmentation with unknown class number
Survey and critique of techniques for extracting rules from trained artificial neural networks
Neuro-fuzzy approach to forecast returns of scrapped products to recycling and remanufacturing
Learning bayesian network parameters from limited data by integrating entropy and monotonicity
Can complex conventional programs be revitalized?
Knowledge structure-based consensus-reaching method for large-scale multiattribute group decision-making
USMDA: Unsupervised Multisource Domain Adaptive ADHD prediction model using neuroimaging
Solution of a class of Intuitionistic Fuzzy Assignment Problem by using similarity measures
A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect
Three birds, one stone: A novel translation based framework for joint entity and relation extraction
Multi-view unsupervised complementary feature selection with multi-order similarity learning
Multi-task convex combination interpolation for meta-learning with fewer tasks
Complex network structural analysis based on information supplementation graph contrastive learning
Retraceable and online multi-objective active optimal control using belief rule base
Combining VIKOR-DANP model for glamor stock selection and stock performance improvement
SGCN: A scalable graph convolutional network with graph-shaped kernels and multi-channels
Superpixel-based robust tensor low-rank approximation for multimedia data recovery
Multi-agent reinforcement learning with synchronized and decomposed reward automaton synthesized from reactive temporal logic
Distributed semi-supervised learning algorithms for random vector functional-link networks with distributed data splitting across samples and features
VULDEFF: Vulnerability detection method based on function fingerprints and code differences
TBicomR: Event Prediction in Temporal Knowledge Graphs with Bicomplex Rotation
Differential evolution with two-level adaptive mechanism for numerical optimization
A complex network analysis approach to compare the performance of batsmen across different formats
Automated conversion between different knowledge representation formats
Knowledge graph extension with a pre-trained language model via unified learning method
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation
Credit risk assessment and decision making by a fusion approach
Electromagnetism-like mechanism and simulated annealing algorithms for flowshop scheduling problems minimizing the total weighted tardiness and makespan
Red tide time series forecasting by combining ARIMA and deep belief network
Using natural language definitions and language models for relationship classification
Performance analysis of robust stable PID controllers using dominant pole placement for SOPTD process models
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems
On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks
Introducing neural networks : A Carling Sigma Press
Part-Wise AtlasNet for 3D point cloud reconstruction from a single image
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network
Object semantics sentiment correlation analysis enhanced image sentiment classification
An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment
Automatic trend detection: Time-biased document clustering
SuPrNet: Super Proxy for 4D occupancy forecasting
Context gating in spiking neural networks: Achieving lifelong learning through integration of local and global plasticity
Neuro-symbolic recommendation model based on logic query
A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation
One and one make eleven: An interpretable neural network for image recognition
Brain-lateralized reservoirs: Neuro-anatomically constrained echo state networks for chaotic and physiological signals
Novel automated interactive reinforcement learning framework with a constraint-based supervisor for procedural tasks
Multi-Community Influence Maximization in Device-to-Device social networks
Transportation sentiment analysis using word embedding and ontology-based topic modeling
A hybrid unsupervised method for aspect term and opinion target extraction
Predicting short-Term bike-Sharing demand at station level: A multi-Task dynamic graph-based spatiotemporal approach
Active source-free open-set domain adaptation
Incorporating temporal dynamics into LDA for one-class collaborative filtering
Multi-Level Transfer Learning for irregular clinical time series prediction
Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation
Parameter-less Auto-weighted multiple graph regularized Nonnegative Matrix Factorization for data representation
Optimized memory-augmented deep unfolding network with blockchain-based data preserving cyber security in internet of things
High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data
Design-a-trial: a rule-based decision support system for clinical trial design
Cross-domain few-shot learning via adaptive transformer networks
Stable distance of persistent homology for dynamic graph comparison
Dyna-style Model-based reinforcement learning with Model-Free Policy Optimization
Neighborhood systems-based rough sets in incomplete information system
Addressing topic modeling with a multi-objective optimization approach based on swarm intelligence
A non-definitive auto-transfer mechanism for arbitrary style transfers
Denoising for balanced representation: A diffusion-informed approach to causal effect estimation
Extending fuzzy soft sets with fuzzy description logics
Debugging incoherent ontology by extracting a clash module and identifying root unsatisfiable concepts
Multisource information fusion for real-time optimization of shield construction parameters
SCA-PVNet: Self-and-cross attention based aggregation of point cloud and multi-view for 3D object retrieval
Evaluating the effectiveness of XAI techniques for encoder-based language models
A semantic-rich similarity measure in heterogeneous information networks
Group non-convex sparsity regularized partially shared dictionary learning for multi-view learning
ARLP: Automatic multi-agent transformer reinforcement learning pruner for one-shot neural network pruning
Multistep planning for crowdsourcing complex consensus tasks
Multi-dimension rotations based on quaternion system for modeling various patterns in temporal knowledge graphs
Knowledge graph attention mechanism for distant supervision neural relation extraction
DMDIT: Diverse multi-domain image-to-image translation
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Predicting literature's early impact with sentiment analysis in Twitter
RACE: Robust adaptive and clustering elimination for noisy labels in continual learning
Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory
An Atanassov intuitionistic fuzzy constraint based method for offer evaluation and trade-off making in automated negotiation
Multi-teacher cross-modal distillation with cooperative deep supervision fusion learning for unimodal segmentation
HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing
HoSIM: Higher-order Structural Importance based method for multiple local community detection
On the use of passing network indicators to predict football outcomes
Perceptual stretch and multi-feature fusion for enhancing nighttime images
2-dimension linguistic computational model with 2-tuples for multi-attribute group decision making
Fuzzy model reference control with adaptation of input fuzzy sets
Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach
SETEM: Self-ensemble training with Pre-trained Language Models for Entity Matching
Design engineering - a need to rethink the solution using knowledge based engineering
Novel motor fault detection scheme based on one-class tensor hyperdisk
A learning numerical spiking neural P system for classification problems
A comparison on multi-class classification methods based on least squares twin support vector machine
Evolutionary manifold regularized stacked denoising autoencoders for gearbox fault diagnosis
Advanced uncertainty based approach for discovering erasable product patterns
Learning dynamic embeddings for temporal attributed networks
A twofold infill criterion-driven heterogeneous ensemble surrogate-assisted evolutionary algorithm for computationally expensive problems
A knowledge-based heterogeneity characterization framework for 3D steam-assisted gravity drainage reservoirs
Retrieval augmented generation using engineering design knowledge
MP-NeRF: More refined deblurred neural radiance field for 3D reconstruction of blurred images
FNNGM: A neural-driven fractional-derivative multivariate fusion model for interpretable real-time CPI forecasts
A new regularized restricted Boltzmann machine based on class preserving
Skeletal spatio-temporal decoupling transformer for long-duration action quality assessment
Energy-Efficient adaptive perception for autonomous driving via lightweight policy learning and simulation-based optimization
Can question-texts improve the recognition of handwritten mathematical expressions in respondents' solutions?
Multi-source data fusion for aspect-level sentiment classification
Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm
Deep attributed graph clustering with feature consistency contrastive and topology enhanced network
Tackling data-heterogeneity variations in federated learning via adaptive aggregate weights
Collaborative representation learning for nodes and relations via heterogeneous graph neural network
A fusion probability matrix factorization framework for link prediction
Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling
Several alternative term weighting methods for text representation and classification
A parallel algorithm for Bayesian network structure learning from large data sets
Knowledge evaluation in product lifecycle design and support
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees
Discovering diverse human behavior from two-dimensional preferences
MVSTD: Multi-view spatio-temporal graphs with external disturbance consideration for ride-hailing demand prediction
Mixture extreme learning machine algorithm for robust regression
A new algorithm for automatic knowledge acquisition in inductive learning
A fuzzy rough set-based feature selection method using representative instances
A new collaborative filtering metric that improves the behavior of recommender systems
Robust prior-biased acquisition function for human-in-the-loop Bayesian optimization
ReCAP2: Rectified and context-aware polarization prompting for robust depth enhancement
A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images
A bilevel whale optimization algorithm for risk management scheduling of information technology projects considering outsourcing
Emphasizing feature inter-class separability for improving highly imbalanced overlapped data classification
Temporal-spectral-spatial synchronization attention-based network for EEG emotion recognition
RestorNet: An efficient network for multiple degradation image restoration
A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion
Dual-token aware graph convolution network with interpretability for long-term multi-station irrigation water level forecasting
Deep Learning-Based Radar Fingerprinting for Open-Set Generalization Using Dynamic Thresholding and Embedding Rejection
DAPEW: Towards robust collaborative filtering with graph contrastive learning
Flood risk assessment using deep learning integrated with multi-criteria decision analysis
Haze transfer and feature aggregation network for real-world single image dehazing
A hesitant fuzzy mathematical programming method for hybrid multi-criteria group decision making with hesitant fuzzy truth degrees
Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data
Implicit feature identification in Chinese reviews using explicit topic mining model
PSKNet: Lightweight kernel-aware slice network for real-time stereo depth estimation on edge devices
FREERL: Fusion relation embedded representation learning framework for aspect extraction
From multi-scale grids to dynamic regions: Dual-relation enhanced transformer for image captioning
Semantic alignment with self-supervision for class incremental learning
Causal deconfounding deep reinforcement learning for mobile robot motion planning
Parallel frequent itemset mining using systolic arrays
In defense and revival of Bayesian filtering for thermal infrared object tracking
Look in different views: Multi-scheme regression guided cell instance segmentation
Information systems: a knowledge-based perspective
Local Learning-based Multi-task Clustering
Diversified viral marketing: The power of sharing over multiple online social networks
DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling
Online feature selection for high-dimensional class-imbalanced data
An integrated generalized TODIM model for portfolio selection based on financial performance of firms
Enhancing quantum support vector machine for healthcare applications using custom feature maps
Deep embedded hybrid CNN-LSTM network for lane detection on NVIDIA Jetson Xavier NX
A region-based hypergraph network for joint entity-relation extraction
A decision support model for group decision making with hesitant fuzzy preference relations
DTIU: A self-supervised grid-enhanced diffusion model for trajectory imputation in unconstrained scenarios
Action recognition based on joint trajectory maps with convolutional neural networks
Multi-view factorization machines for mobile app recommendation based on hierarchical attention
A copula-based clustering algorithm to analyse EU country diets
MFUR-Net: Multimodal feature fusion and unimodal feature refinement for RGB-D salient object detection
A fast learning algorithm for One-Class Slab Support Vector Machines
A novel meta-matching approach for ontology alignment using grasshopper optimization
Physical imaging model-guided deep variational despeckling framework for ultrasound images
Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times
Study on density peaks clustering based on k-nearest neighbors and principal component analysis
Fuzzy logic-based expert system to predict the results of finite element analysis
ANOGAT-Sparse-TL: A hybrid framework combining sparsification and graph attention for anomaly detection in attributed networks using the optimized loss function incorporating the Twersky loss for improved robustness
Privacy preservation of cloud data in business application enabled by multi-objective red deer-bird swarm algorithm
Radial Adaptive Node Embedding Hashing for cross-modal retrieval
FourierAugment: Frequency-based image encoding for resource-constrained vision tasks
Multicriteria semi-supervised hyperspectral band selection based on evolutionary multitask optimization
Semantically-guided cross-level feature fusion network for few-shot object counting via dual-stream template discrimination
Damped window based high average utility pattern mining over data streams
Using a web Personal Evaluation Tool - PET for lexicographic multi-criteria service selection
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
MMT-fgMDI: Metapath-driven multimodal transformer framework for predicting fine-grained metabolite-drug interactions
Attention non-negative spectral clustering
On mapping decision trees and neural networks
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization
Multimodality-based framework for enhanced skin lesion recognition over federated learning
A pre-evolutionary advisor list generation strategy for robust defensing reputation attacks
Strategies for predicting local trust based on trust propagation in social networks