yusuke1997/dblp-id-title huggingface dataset:
Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder
Enhanced phishing detection using multimodal data
Methods for cross-language plagiarism detection
A knowledge-based Decision Support System for adaptive fingerprint identification that uses relevance feedback
A deep multi-agent reinforcement learning framework for climate-aware aircraft trajectory planning considering air traffic complexity
Computational methods for finding long simple cycles in complex networks
Case-based reasoning for matching technology to people's needs
Lexicographic max-min approach for an integrated vendor-managed inventory problem
Infrared ship target segmentation based on Adversarial Domain Adaptation
Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework
Outlier detection for multivariate time series: A functional data approach
A new measure of consensus with reciprocal preference relations: The correlation consensus degree
DQ-HGAN: A heterogeneous graph attention network based deep Q-learning for emotional support conversation generation
scExGraph: Explainable graph neural network for predicting tumor environment components with single-cell sequencing data
Algorithm library based on algorithmic cyberFilms
Latent graph learning with dual-channel attention for relation extraction
Emergency logistics network design based on space-time resource configuration
Entire Deformable ConvNets for semantic segmentation
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Knowledge graph embedding by relational and entity rotation
ELAFormer: Early Local Attention in multi-scale vision transFormers
VIS4SL: A visual analytic approach for interpreting and diagnosing shortcut learning
Extended ARMA graph neural networks for the prognosis of complex systems
SSGNN: Simple siamese graph neural networks for out-of-distribution generalization
Adaptive information flow propagation for visual tracking
Ensembles of evolutionarily-constructed support vector machine cascades
Text-guided dynamic mouth motion capturing for person-generic talking face generation
Multi-reservoir computing with ordered aggregation for time series analysis
Dual-stream and dual-branch generative adversarial network for image forgery localization
iValue: A knowledge-based system for estimating customer prospect value
Concept dispersion, feature interaction and their effect on particular sources of bias in machine learning
An exploration of user-facet interaction in collaborative-based personalized multiple facet selection
Exploring the potential of channel interactions for image restoration
Multi-label feature selection via exploring reliable instance similarities
Temporal knowledge graph fusion with neural ordinary differential equations for the predictive maintenance of electromechanical equipment
The bare-bones differential evolutionary for stochastic joint replenishment with random number of imperfect items
An adaptive causal path reasoning model for marine diesel engine fault diagnosis using knowledge graph
Pose and illumination variable face recognition via sparse representation and illumination dictionary
Adaptive frequency-domain enhanced deep model driven by heterogeneous networks for medical image segmentation
Context Attention Fusion Network for crowd counting
BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection
A state-based knowledge representation approach for information logical inconsistency detection in warning systems
A hybrid system for multiobjective problems - A case study in NP-hard problems
Comparison of a Deductive Database with a Semantic Web reasoning engine
Developing an integrated model for the selection of strategic alliance partners in the airline industry
Feature selection with redundancy-complementariness dispersion
Improving dense retrieval models with LLM augmented data for dataset search
Reformative ROCOSD-ORESTE-LDA model with an MLP neural network to enhance decision reliability
An adaptive and general model for label noise detection using relative probabilistic density
Data dictionary approach to the maintenance of expert systems: The Knowledge Dictionary
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal
DCDLNet: A label-noise tolerant classification algorithm for polsar images based on dual-band consistency and difference
Dimensionality reduction and main component extraction of mass spectrometry cancer data
Rough set based semi-supervised feature selection via ensemble selector
A camera-direction dependent visual-motor coordinate transformation for a visually guided neural robot
IGT: Illumination-guided RGB-T object detection with transformers
Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks
Eco-logic: Logic-based approaches to ecological modelling : D Robertson, A Bundy, R Muetzelfeldt, M Haggith and M Uschold
Knowledge-based systems: a new perspective
Adaptation, response and knowledge
Federated learning model with dynamic scoring-based client selection for diabetes diagnosis
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
Automatic assignment of moral foundations to movies by word embedding
A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification
Efficient composing rough approximations for distributed data
Bi-graph attention network for aspect category sentiment classification
An information-Enhanced memory library for multi-modal continuous clustering
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization
SCORE: Simple Contrastive Representation and Reset-Ensemble for offline meta-reinforcement learning
ClustOfVar and the segmentation of cruise passengers from mixed data: Some managerial implications
Mining summarization of high utility itemsets
The relationship among three types of rough approximation pairs
An ensemble learning method based on deep neural network and group decision making
ACRA: An adaptive chain retrieval architecture for multi-modal knowledge-Augmented visual question answering
Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents
ProNet: A contrastive propagation network for multimodal lifelong clustering
FedDP-FPM: A federated frequent itemset mining algorithm under differential privacy
Predicting discriminative personality profile of haters from digital texts
Deep time-series clustering via latent representation alignment
High-confidence pseudo-label graph guided multi-view clustering structure discovery
CRM: An efficient trust and reputation model for agent computing
Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation
Predictive diagnosis based on a fleet-wide ontology approach
A Decomposition based Multi-Objective Heat Transfer Search algorithm for structure optimization
Efficient parallel computing on the game theory-aware robust influence maximization problem
Clear-Plenoxels: Floaters free radiance fields without neural networks
Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images
An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems
Decision support for improved service effectiveness using domain aware text mining
Anonymizing classification data using rough set theory
Rule-based systems formalized within a software architectural style
Linear fuzzy space based road lane model and detection
SPU-BERT: Faster human multi-trajectory prediction from socio-physical understanding of BERT
MSPCNF-Net: Multi-scale parallel cross-neighborhood fusion network for medical image segmentation
Dynamic graph representation learning via edge temporal states modeling and structure-reinforced transformer
Signal-relationship-aware explainable intrusion detection in controller area networks using graph transformers
Automatic labelling of clusters of discrete and continuous data with supervised machine learning
New generation thermal traffic sensor: A novel dataset and monocular 3D thermal vision framework
Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
A radial basis Bayesian regularization neural network process for the malaria disease model
CAGAN: Constrained neural architecture search for GANs
Exploiting non-taxonomic relations for measuring semantic similarity and relatedness in WordNet
High-level design for user and component interfaces
COA-based nonlinear fuzzy time-series model for dynamic analysis of customer satisfaction
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum
A knowledge-based approach for checking software information using a non-monotonic reasoning system
HSAE: Hierarchical structure augment embedding for various knowledge graph completion
Label distribution feature selection with feature weights fusion and local label correlations
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions
Diversity in recommender systems - A survey
SeqFReD: A reinforcement-learning framework for sequence feature representation and dimension reduction
Network embedding by fusing multimodal contents and links
Multi-scale information distillation network for efficient image super-resolution
Multi-document extractive text summarization: A comparative assessment on features
On controllability of discrete-time multi-agent networks based on impulsive and switching systems
Interval-valued intuitionistic fuzzy multi-criteria decision-making approach based on prospect score function
Truncated MobileNetV2 Sparse Vision Graph Attention Model for Explainable Monkeypox Disease Classification
The optimization-based aggregation and consensus with minimum-cost in group decision making under incomplete linguistic distribution context
Actminer: Applying causality tracking and increment aligning for graph-based threat hunting
IMFND: In-context multimodal fake news detection with large visual-language models
Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization
A knowledge transfer-based adaptive differential evolution for solving nonlinear equation systems
A method for constructing the Composite Indicator of business cycles based on information granulation and Dynamic Time Warping
CIRA: Class imbalance resilient adaptive Gaussian process classifier
Integration of prolog and databases in both evaluational and non-evaluational approaches
A fast approach to attribute reduction from perspective of attribute measures in incomplete decision systems
Combining deep learning and ontology reasoning for remote sensing image semantic segmentation
Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems
Returns to scale and scale elasticity in the presence of weight restrictions and alternative solutions
Fairness and social bias quantification in Large Language Models for sentiment analysis
Representation iterative fusion based on heterogeneous graph neural network for joint entity and relation extraction
Negative selection algorithm based on grid file of the feature space
Detecting credit card fraud from transaction data streams with incremental time-aware liquid recurrent network
Microblog sentiment analysis with weak dependency connections
A case-based knowledge system for safety evaluation decision making of thermal power plants
A new selection operator for differential evolution algorithm
Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device
Rolling bearing fault diagnosis using optimal ensemble deep transfer network
DiffuCom: A novel diffusion model for comment generation
Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Error distribution smoothing for low-dimensional imbalanced regression
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches
Design by interactive exploration using memory-based techniques
Incremental approaches to updating reducts under dynamic covering granularity
Bi-directional gated recurrent unit enhanced twin support vector regression with seasonal mechanism for electric load forecasting
A T1OWA fuzzy linguistic aggregation methodology for searching feature-based opinions
Compensator-critic structure-based neuro-optimal control of modular robot manipulators with uncertain environmental contacts using non-zero-sum games
A sinusoidal social learning swarm optimizer for large-scale optimization
A hierarchical reinforcement learning framework for multi-UAV combat using leader-follower strategy
Multifaceted and deep semantic alignment network for multimodal sarcasm detection
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height
Class-conditional image synthesis with intra-class relation preservation
MFLM-GCN: Multi-relation Fusion and Latent-relation Mining Graph Convolutional Network for entity alignment
Approaches to attribute reduction in concept lattices induced by axialities
A hybrid intelligent approach for modeling brand choice and constructing a market response simulator
Intelligent extraction of medical entity relationship based on graph neural network and optimization strategy
Decision-theoretic rough sets under dynamic granulation
Venture capital group decision-making with interaction under probabilistic linguistic environment
Efficient community detection with additive constrains on large networks
A dummy-based user privacy protection approach for text information retrieval
User-defined trade-offs in LLM benchmarking: balancing accuracy, scale, and sustainability
Selective multiple kernel fuzzy clustering with locality preserved ensemble
A stable neural network for inverse scattering problems with contaminated data
Polygonal data analysis: A new framework in symbolic data analysis
Unsupervised adverse weather-degraded image restoration via contrastive learning
Region-based quantitative and hierarchical attribute reduction in the two-category decision theoretic rough set model
Diffusion-based network for unsupervised landmark detection
HyperFKAN: A parallelized Fourier series-based KAN for hyperspectral image classification
Multi-instance semantic similarity transferring for knowledge distillation
C-Priz - a new generation software tool for small computers
Iterative clustering pruning for convolutional neural networks
Towards evaluating the robustness of deep neural semantic segmentation networks with Feature-Guided Method
Interestingness measures for association rules based on statistical validity
Metapath-guided multi-headed attention networks for trust prediction in heterogeneous social networks
Heterogeneous graph neural networks for noisy few-shot relation classification
A framework for diversifying recommendation lists by user interest expansion
Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description
Polyp-LVT: Polyp segmentation with lightweight vision transformers
Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry
Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon
Fuzzy associative memories with autoencoding mechanisms
Hierarchical Differential Attention for Multimodal Relation Extraction
Fair path explanations for heterogeneous link prediction from a community perspective
Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust
Probabilistic dual hesitant fuzzy set and its application in risk evaluation
Semantic-aware alignment and label propagation for cross-domain arrhythmia classification
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations
Fuzzy Hierarchical Surrogate Assists Probabilistic Particle Swarm Optimization for expensive high dimensional problem
Fact-based visual question answering via dual-process system
Evaluation of classification algorithms for intrusion detection in MANETs
CAT: A high-performance cross-attributes and cross-tasks for one-stage 3D object detection
On the use of multiplicative consistency in hesitant fuzzy linguistic preference relations
ECLB: Efficient contrastive learning on bi-level for noisy labels
The node importance in actual complex networks based on a multi-attribute ranking method
Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization
Dynamic data selection with normalized gradient-based influence approximation for targeted fine-tuning of LLMs
JAMC: A jigsaw-based autoencoder with masked contrastive learning for cardiovascular disease diagnosis
Social media based event summarization by user-text-image co-clustering
ADHD identification and its interpretation of functional connectivity using deep self-attention factorization
Attention-guided graph convolutional network for multi-behavior recommendation
Structural regularization based discriminative multi-view unsupervised feature selection
OTLAMC: An Online Transfer Learning Algorithm for Multi-class Classification
FMDConv: Fast multi-attention dynamic convolution via speed-accuracy trade-off
3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce
A dynamic multi-objective optimization framework for omnichannel retailing integrating customer loyalty, channel coordination, and reinforcement learning
Grammar-based geodesics in semantic networks
Reffusion: Enhancement Conditional Diffusion Framework with Dual Domain Interaction Transformer for image restoration
Wind-thermal power system dispatch using MLSAD model and GSOICLW algorithm
Towards optimal wireless sensor network lifetime in three dimensional terrains using relay placement metaheuristics
Integrated graphical approach to knowledge representation and acquisition
Joint bi-adversarial learning for unsupervised domain adaptation
A stochastic configuration network based on an improved sampling strategy and Bayesian optimization
Establishment of transverse beam engineering knowledge coding of door-shaped structure and case-based similarity method
Robot docking based on omnidirectional vision and reinforcement learning
SPAN: Finding collaborative frauds in online auctions
Pricing and resource allocation for multimedia social network in cloud environments
Exploiting matrix factorization to asymmetric user similarities in recommendation systems
Formalization of the semantics of iconic languages: An ontology-based method and four semantic-powered applications
Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis
Reasoning with geometric information in digital space
AttCL-GAN: Attentional contrastive learning-based generative adversarial network for modality completion of medical images
Entropy-Guided Meta-Initialization regularization for few-shot text classification
DCLNet: Dual Closed-loop Networks for face super-resolution
Extraction and optimization of classification rules for temporal sequences: Application to hospital data
Phonetic-aware word reconstruction in ancient Tamil inscriptions using adaptive Graph networks
Hierarchical attention and dynamic consistency filtering for robust aerial multi-view stereo
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
Lightweight model-contrastive federated learning with multi-center clustering for IoT intrusion detection
CQSA-KT: Research on personalized knowledge tracing based on quantum-constructivism in sparse learning environments
A new fuzzy cognitive maps classifier based on capsule network
Step-wise contrastive representation learning for diagnosing unknown defective categories in planetary gearboxes
SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding
CTF4Rec: A cross-view enhanced time-frequency hybrid network for sequential recommendation
A semantic backend for content management systems
Detecting outlier samples in multivariate time series dataset
Remote decision support system: a distributed information management system
TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for lung nodule diagnosis on CT images
Enhancing sentiment analysis with local and global memory in heterogeneous graph neural networks
A neural fuzzy framework for system mapping applications
A robust memory based hybrid differential evolution for continuous optimization problem
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain
HANP-Miner: High average utility nonoverlapping sequential pattern mining
Progressively global-local fusion with explicit guidance for accurate and robust 3d hand pose reconstruction
Multi-domain masked reconstruction self-supervised learning for lithology identification using well-logging data
On the insufficiency of ontologies: problems in knowledge sharing and alternative solutions
GMVE: Graph-Mamba variational encoder for interpretable remaining useful life prediction with uncertainty quantification
Parallel encoder-decoder framework for image captioning
MAR: Maximum Attribute Relative of soft set for clustering attribute selection
Heterogeneous knowledge representation: integrating connectionist and symbolic computation
A secure data sharing framework with AESMO enabled key generation in consortium blockchain based E-government system
A knowledge-assisted reinforcement learning optimization for road network design problems under uncertainty
ABG-NAS: Adaptive bayesian genetic neural architecture search for graph representation learning
DCOM-GNN: A Deep Clustering Optimization Method for Graph Neural Networks
A selective Bayes Classifier for classifying incomplete data based on gain ratio
Knowing What to Say: Towards knowledge grounded code-mixed response generation for open-domain conversations
Sentiment Lexical Strength Enhanced Self-supervised Attention Learning for sentiment analysis
Enhanced link clustering with observations on ground truth to discover social circles
A meta-learning based approach for temporal link prediction in multiplex networks
Learning sparse reparameterization with layer-wise continuous sparsification
PCONFIG: a Web-based configuration tool for Configure-To-Order products
WhisPAr: Transferring pre-trained audio models to fine-grained classification via Prompt and Adapter
KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation
PSC-BERT: A spam identification and classification algorithm via prompt learning and spell check
A survey on multi-modal social event detection
AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
Expert Provisioner: a range management aid
LOFS: A library of online streaming feature selection
AdaMoment: A unified adaptive-momentum framework for robust learning rate optimization
Adaptive priority-based data placement and multi-task scheduling in geo-distributed cloud systems
Mixing corrupted preferences for robust and feedback-efficient preference-based reinforcement learning
Fault tolerance in fog-based Social Internet of Things
An integrated approach of Active Incremental fine-tuning, SegNet, and CRF for cutting tool wearing areas segmentation with small samples
MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN