yusuke1997/dblp-id-title huggingface dataset:
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference
Gaussian gravitation for cluster ensembles
Finding structural hole spanners based on community forest model and diminishing marginal utility in large scale social networks
Integrated dynamic projection and graphon-based framework for robust pairwise comparison in analytic hierarchy process
Paired structures in knowledge representation
An investment evaluation of supply chain RFID technologies: A group decision-making model with multiple information sources
HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages' character recognition
Predicting the success of group buying auctions via classification
Integrating multi-scale appearance and motion cues for visual tracking via spatio-temporal prompt
A recommendation model for e-commerce platforms oriented to explicit information compensation and hidden information mining
Projective label propagation by label embedding: A deep label prediction framework for representation and classification
MindShot: A few-shot brain decoding framework via transferring cross-subject prior and distilling frequency domain knowledge
Neural network operators of fuzzy n-cell number valued functions and multidimensional fuzzy inference system
KNN-based weighted rough ν-twin support vector machine
Maximizing deviation method for multiple attribute decision making in intuitionistic fuzzy setting
Meta doubly robust: Debiasing CVR prediction via meta-learning with a small amount of unbiased data
Decomposition-based Bayesian network structure learning algorithm using local topology information
Deep convolutional feature aggregation for fine-grained cultivar recognition
Label Disentangled Analysis for unsupervised visual domain adaptation
Dynamic selection and combination of one-class classifiers for multi-class classification
HiTSKT: A hierarchical transformer model for session-aware knowledge tracing
Dispatch of highly renewable energy power system considering its utilization via a data-driven Bayesian assisted optimization algorithm
Knowledge-based approach to requirements engineering using method and domain knowledge
LiFSO-Net: A lightweight feature screening optimization network for complex-scale flat metal defect detection
A filter-based feature construction and feature selection approach for classification using Genetic Programming
On-line monitoring of plan execution: A distributed approach
A novel two-level nearest neighbor classification algorithm using an adaptive distance metric
Adaptive graph-based generalized regression model for unsupervised feature selection
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization
TPFIANet: Three path feature progressive interactive attention learning network for medical image segmentation
HGphormer: Heterophilic Graph Transformer
Gated attention fusion network for multimodal sentiment classification
SoC-constrained team formation with self-organizing mechanism in social networks
A precise monadic dynamic slicing method
CRGA: Homographic pun detection with a contextualized-representation: Gated attention network
Optimal speed and latency-aware task assignment in large-scale embedded system
Few-shot adaptation of GANs using self-supervised consistency regularization
Unsupervised geographically discriminative feature learning for landmark tagging
Methods to describe and recognize sign language based on gesture components represented by symbols and numerical values
Fair Federated Learning with Opposite GAN
SoftStep relaxation for mining optimal convolution kernel
Poison once, fool many: Practical poisoning attacks against text-to-image retrieval systems
FE-GS: 3D feature-embedded Gaussian splatting with geometric regularizations for high-fidelity rendering
Medical image segmentation based on active fusion-transduction of multi-stream features
Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories
Long range dependence in texts: A method for quantifying coherence of text
Probabilistic data structures for big data analytics: A comprehensive review
Adversary resistant deep neural networks via advanced feature nullification
Preventing automatic user profiling in Web 2.0 applications
LiFedST: A linearized federated split-attention transformer for spatio-temporal forecasting
Multi-view spectral clustering by simultaneous consensus graph learning and discretization
A discrete method for the initialization of semi-discrete optimal transport problem
EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets
A complementing preference based method for location recommendation with cellular data
SG-WSTD: A framework for scalable geographic web search topic discovery
Managing minority opinions in micro-grid planning by a social network analysis-based large scale group decision making method with hesitant fuzzy linguistic information
An integrated knowledge based system for sheet metal cutting-punching combination processing
A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection
Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver
A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content
Online adaptive machine learning based algorithm for implied volatility surface modeling
Long-term traffic speed prediction utilizing data augmentation via segmented time frame clustering
Uncertainty-aware consistency learning for semi-supervised medical image segmentation
How does that name sound? Name representation learning using accent-specific speech generation
Graph-regularized federated learning with shareable side information
Designing deontic knowledge bases from regulation texts
Kernel contextual fuzzy rule model based on conditional input space partitioning driven by data reconstruction in autoencoder and randomization-based neural networks
A novel regularized concept factorization for document clustering
Incorporating prior knowledge from counterfactuals into knowledge graph reasoning
Expert systems in Britain
Multi-LoRA continual learning based instruction tuning framework for universal information extraction
PGNet: Position guided infrared small target detection
Multiphysics coupling AI prediction method for thermomechanical behavior of steel ladle linings
The induced generalized interval-valued intuitionistic fuzzy hybrid Shapley averaging operator and its application in decision making
Dynamic-MLCS: Fast searching for dynamic multiple longest common subsequences in sequence stream data
Using Hellinger distance in a nearest neighbour classifier for relational databases
Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model
Task-Oriented Dynamic Knowledge Distillation for Continuous Few-Shot Relation Extraction
Adaptive feature selection for active trachoma image classification
Optimization-based robustness enhancement of compact microwave component designs with response feature regression surrogates
Multiobjective adaptive symbiotic organisms search for truss optimization problems
Crested ibis algorithm and its application in human-powered aircraft design
Compliance Flow - Managing the compliance of dynamic and complex processes
The optimal group consensus models for 2-tuple linguistic preference relations
Tri-level interaction fusion network for graph similarity learning
A novel TriCore scheme for multiple RGB images in telemedicine environments
SAM: Self-augmentation mechanism for COVID-19 detection using chest X-ray images
Application of entropies for automated diagnosis of epilepsy using EEG signals: A review
The similarity-consensus regularized multi-view learning for dimension reduction
Enhancing word distinction for bilingual lexicon induction with generalized antonym knowledge
Prioritized fuzzy logic based information processing in relational databases
Unsupervised Cross-View Feature Selection on incomplete data
Fixed-time synchronization for inertial Cohen-Grossberg delayed neural networks: An event-triggered approach
MTSL-TimesNet: A multi-task self-supervised learning model based on TimesNet for EEG emotion recognition
Semi-Mamba-UNet: Pixel-level contrastive and cross-supervised visual Mamba-based UNet for semi-supervised medical image segmentation
An architecture for knowledge-based front ends
Appearance and shape based image synthesis by conditional variational generative adversarial network
Image region label refinement using spatial position relation graph
Computer aided diagnosis with case-based reasoning and genetic algorithms
Designing for radical tailorability: coupling artifact and rationale
Dual dynamic graph attention network driven deep reinforcement learning for flexible job-Shop scheduling
What middleware for network centric operations?
Audio-visual collaborative representation learning for Dynamic Saliency Prediction
Unsupervised cross-modal retrieval via Multi-modal graph regularized Smooth Matrix Factorization Hashing
Asymmetric content-aided Transformer for efficient image super-resolution
Weighted oversampling algorithms for imbalanced problems and application in prediction of streamflow
Enhancing text anonymization via re-identification risk-based explainability
Adaptive class token knowledge distillation for efficient vision transformer
Collaborative Topic Regression with social trust ensemble for recommendation in social media systems
Knowledge graph entity typing via learning connecting embeddings
A robust elastic net via bootstrap method under sampling uncertainty for significance analysis of high-dimensional design problems
AutoInfo GAN: Toward a better image synthesis GAN framework for high-fidelity few-shot datasets via NAS and contrastive learning
An analytical model for generalized ESP games
Initialization of neural networks by means of decision trees
Multi-label Feature selection with adaptive graph learning and label information enhancement
Automated playtesting in collectible card games using evolutionary algorithms: A case study in hearthstone
Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph
Multimodal aspect-based sentiment analysis enhanced with semantic-syntactic graph balancing and dynamic image selection
Communication-efficient federated knowledge graph embedding with entity-wise top-K sparsification
Noise-tolerant universal representation learning for multivariate time series from global-to-local perspective
An enabling framework for automated extraction of signals from market information in real time
Segmenting medical images via explicit-implicit attention aggregation
Activation function optimization scheme for image classification
Testing collaborative strategies by computational simulation: cognitive and task effects
A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection
Diachronic semantic encoding based on pre-trained language model for temporal knowledge graph reasoning
Characteristics of three-way concept lattices and three-way rough concept lattices
Uninorm trust propagation and aggregation methods for group decision making in social network with four tuple information
A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method
Matrix-based dynamic updating rough fuzzy approximations for data mining
Link prediction in dynamic networks based on the attraction force between nodes
Using machine learning techniques for rising star prediction in basketball
A general framework for privacy preserving data publishing
Real-time steganalysis for streaming media based on multi-channel convolutional sliding windows
Residual encoding framework to compress DNN parameters for fast transfer
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction
LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification
Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning
A sample-based hierarchical adaptive K-means clustering method for large-scale video retrieval
Evaluation of alignment methods to support the assessment of similarity between e-commerce knowledge graphs
Evolving subgraph matching on temporal graphs
A joint training network for learning more distinguishable relation features in relation classification
Gated Mixture Variational Autoencoders for Value Added Tax audit case selection
Successes and failures of KBSs in real-world applications: Report on the international conference
The automatic design of parameter adaptation techniques for differential evolution with genetic programming
Integrating user interface agents with conventional applications
Frameworks for knowledge-based systems
Enhancing forensic human identification using panoramic dental radiographs with a binarized Simplicial convolutional neural networks approach
An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration
Leveraging Knowledge Graphs and Deep Learning for automatic art analysis
Location driven influence maximization: Online spread via offline deployment
A comparative study on noise filtering of imbalanced data sets
Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events
The single-valued Neutrosophic extension of the PIPRECIA method
CS-GAN: Cross-Structure Generative Adversarial Networks for Chinese calligraphy translation
Multiscale fused network with additive channel-spatial attention for image segmentation
Population-based gradient descent weight learning for graph coloring problems
Time-frequency transform based EEG data augmentation for brain-computer interfaces
Latent Gaussian process for anomaly detection in categorical data
Predicting paper making defects on-line using data mining
Towards understanding and supporting creativity in design: analogies in a constrained cognitive environment
Effective data-driven precision medicine by cluster-applied deep reinforcement learning
Hybrid kernel density estimation for discriminant analysis with information complexity and genetic algorithm
Cross-domain sentiment classification based on key pivot and non-pivot extraction
A belief rule based expert system for predicting consumer preference in new product development
The completeness of reasoning algorithms for clause sets in description logic ALC
Segmentation of DNA using simple recurrent neural network
Stock conditional drawdown at risk portfolio optimization based on gated bidirectional temporal convolution and discrete cosine graph neural networks on hypervariable graphs
On the protection of social networks user's information
Integrated production planning and scheduling under uncertainty: A fuzzy bi-level decision-making approach
Mining lossless closed frequent patterns with weight constraints
Zero-shot diverse audio captioning with diffusion models
Effective learning system techniques for human-robot interaction in service environment
Case-based reasoning investigation of therapy inefficacy
Multimodal sentiment analysis using hierarchical fusion with context modeling
Probability density forecasting of wind power based on multi-core parallel quantile regression neural network
Joint event extraction along shortest dependency paths using graph convolutional networks
Expert systems in the electronics industry : Electronic Trend Publications
Deep learning methods for chaotic time series prediction
An ensemble of decision cluster crotches for classification of high dimensional data
A survey of trust management systems for online social communities - Trust modeling, trust inference and attacks
Finding the key nodes to minimize the victims of the malicious information in complex network
Transferring model structure in Bayesian transfer learning for Gaussian process regression
Robust Gaussian process regression based on bias trimming
Supervised feature subset selection with ordinal optimization
Consistency-based self-supervised visual tracking by using query-communication transformer
Dynamic feature enhancement network guided by multi-dimensional collaborative edge information for remote sensing image compression
Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting
SEEC and CHASE: An emotion-cause pair-oriented approach and conversational dataset with heterogeneous emotions for empathetic response generation
Graph-based approach for outlier detection in sequential data and its application on stock market and weather data
Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm
Region-filtering correlation tracking
QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning
Multigranulation consensus fuzzy-rough based attribute reduction
Classification rule discovery for the aviation incidents resulted in fatality
Mining converging patterns over streaming trajectories of moving objects in road networks
Applying fuzzy quality function deployment to prioritize solutions of knowledge management for an international port in Taiwan
Dynamic spatiotemporal interactive graph neural network for multivariate time series forecasting
A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance
Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Salient object detection in low-light images via functional optimization-inspired feature polishing
Corrigendum to "Single-image deraining via a Recurrent Memory Unit Network" [Knowl.-Based Syst. 218 (2021) 106832]
Consensus image method for unknown noise removal
Bringing chatbots into education: Towards natural language negotiation of open learner models
Graph optimization algorithm enhanced by dual-scale spectral features with contrastive learning for robust bearing fault diagnosis
A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement
Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks
Task-oriented analysis and visualization of correlation patterns in multi-sensor time series
A natural language help system shell through functional programming
An iterated local search algorithm for the minimum differential dispersion problem
Visual tracking via exemplar regression model
Knowledge guided Bayesian classification for dynamic multi-objective optimization
DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation
Handling missing values: A study of popular imputation packages in R
Fuzzy classification using the data envelopment analysis
Low storage and fast single-server private information retrieval with sublinear server computation for intelligent medical care
Contrastive learning for fair graph representations via counterfactual graph augmentation
Feature selection via neighborhood multi-granulation fusion
Experiments with free concept generation in Divago
Improving generalization of convolutional neural network through contrastive augmentation
Learning robust word representation over a semantic manifold
Functional requirements for computer-based design support systems, derived from experimental studies
A structure similarity based adaptive sampling method for time-dependent graph embedding
Induction of accurate and interpretable fuzzy rules from preliminary crisp representation
Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field
The influence of global constraints on similarity measures for time-series databases
Probability weighted means as surrogates for stochastic dominance in decision making
Hypergraph neural network for remote sensing hyperspectral image super-resolution
Building machine-readable knowledge representations for Turkish sign language generation
Subspace projection-based weighted echo state networks for predicting therapeutic peptides
Interval-valued intuitionistic fuzzy prioritized operators and their application in group decision making
Holistic discovery of decision models from process execution data
Knowledge distillation with predicted depth for robust and lightweight face presentation attack detection
An improved non-parallel Universum support vector machine and its safe sample screening rule
A simple yet effective difficulty-aware bucketed fine-tuning strategy for LLM-based recommendation
A novel group recommender system based on members' influence and leader impact
Teacher-Student Mutual Learning for efficient source-free unsupervised domain adaptation
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Potential subgraph rule and reasoning context enhancement for sparse multi-hop knowledge graph reasoning
An efficient method for mining sequential patterns with indices
The GhostWriter-2.0 Case-Based Reasoning system for making content suggestions to the authors of product reviews
Randomized sampling techniques based low-tubal-rank plus sparse tensor recovery
Deception detection in conversations using the proximity of linguistic markers
Multi-level feature interaction for open knowledge base canonicalization
Solving an EPQ model with doubt fuzzy set: A robust intelligent decision-making approach
InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Unlocking deep structures: Anchor-side filtering for efficient multiview clustering on high-order bipartite graphs
A Knowledge-Driven dual trigger mechanism for enhancing model security in multi-Source fusion systems
Smart-VPoseNet: 3D human pose estimation models and methods based on multi-view discriminant network
A unified multi-subgraph pre-training framework for spatio-temporal graph
Efficient reverse spatial and textual k nearest neighbor queries on road networks
Classification of cognitive syndromes in a Southeast Asian population: Interpretable graph convolutional neural networks
Bilateral decoupling complementarity learning network for camouflaged object detection
A multi-constraint learning path recommendation algorithm based on knowledge map
Discrepancy Learning Guided Hierarchical Fusion Network for Multi-modal Recommendation
Group decision making with distance measures and probabilistic information
Advanced community question answering by leveraging external knowledge and multi-task learning
Knowledge-base reconstruction
CoxSE: Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis
Inter-training: Exploiting unlabeled data in multi-classifier systems
NHGMI: Heterogeneous graph multi-view infomax with node-wise contrasting samples selection
Mamba with multi-frequency perception for image super-resolution
Consensus measures constructed from aggregation functions and fuzzy implications
Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data
Robust non-convex least squares loss function for regression with outliers
Exploiting spatio-temporal representation for 3D human action recognition from depth map sequences
Beyond text: Fusing multi-modal legal knowledge for legal judgment prediction
Trustworthiness-aware knowledge graph representation for recommendation
Style Mamba-transformer: A hybrid Mamba-transformer unsupervised framework for text style transfer