yusuke1997/dblp-id-title huggingface dataset:
DP-DDCL: A discriminative prototype with dual decoupled contrast learning method for few-shot object detection
Multi-objective memetic optimization for the bi-objective obnoxious p -median problem
SONANCE: Speech-oriented neuromorphic auditory noise-resilient cascaded emotion-recognition
Cross-city transfer learning for traffic forecasting via incremental distribution rectification
ALS-MRS: Incorporating aspect-level sentiment for abstractive multi-review summarization
Causality-inspired Domain Expansion network for single domain generalization
SqueezExpNet: Dual-stage convolutional neural network for accurate facial expression recognition with attention mechanism
Do all roads lead to Rome? Understanding the role of initialization in iterative back-translation
A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains
Learning software requirements syntax: An unsupervised approach to recognize templates
HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy
Pseudo-unknown uncertainty learning for open set object detection
A fuzzy framework for encoding uncertainty in clinical decision-making
Refining pseudo labels for unsupervised Domain Adaptive Re-Identification
CDC-FSL: A Causal De-Confounding framework for Few-Shot Learning
A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting
ALCR: Adaptive loss based critic ranking toward variational autoencoders with multinomial likelihood and condition for collaborative filtering
From source code to runtime behaviour: Software metrics help to select the computer architecture
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework
Multi-classification in-vehicle intrusion detection system using packet- and sequence-level characteristics from time-embedded transformer with autoencoder
Forensic analysis of logs: Modeling and verification
NexT: A framework for next-place prediction on location based social networks
Structure-augmentation and Attribute-aware Graph Contrastive Learning with Weak Information
Stepwise optimal scale selection for multi-scale decision tables via attribute significance
A novel fast constructing neighborhood covering algorithm for efficient classification
A comprehensive survey on integrating large language models with knowledge-based methods
bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices
An affinity propagation clustering based particle swarm optimizer for dynamic optimization
CLIP-MEI: Exploit more effective information for few-shot action recognition
An enhanced manta ray foraging optimization algorithm for shape optimization of complex CCG-Ball curves
A task allocation algorithm for a swarm of unmanned aerial vehicles based on bionic wolf pack method
Concept drift detection based on the equilibrium consistency index
Product ranking through fusing the wisdom of consumers extracted from online reviews on multiple platforms
Evaluation of autonomous underwater vehicle motion trajectory optimization algorithms
ES-MRE: Evidence subgraph enhanced reasoning for multimodal relation extraction
OH-CMH: Towards cross-modal hashing for streaming data with hierarchical labels and label increment scenario
Robust outlier detection using the instability factor
A multi-level multi-task progressive framework based on relational graph convolutional networks for causal emotion entailment
GNNctd: A graph neural network based on complicated temporal dependencies modeling for fashion trend prediction
Frequency inception based graph neural network for relation prediction in knowledge graphs
A location-based advising method in teacher-student frameworks
An ISHAP-based interpretation-model-guided classification method for malignant pulmonary nodule
Joint image fusion and denoising via three-layer decomposition and sparse representation
Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference
FEAT: A general framework for feature-aware multivariate time-series representation learning
A two-stage cooperative evolutionary algorithm for energy-efficient distributed group blocking flow shop with setup carryover in precast systems
Segmentation of brain MRI using an altruistic Harris Hawks' Optimization algorithm
Multiple representations as a platform for situated learning systems in designing
Representation distribution matching and dynamic routing interaction for multimodal sentiment analysis
Towards adversarial patch attacks on deep crowd-counting networks via density-aware normalized feature learning
Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging
Neighborhood-Exact Nearest Neighbor Search for face retrieval
Observer-based robust integral reinforcement learning for attitude regulation of quadrotors
Label propagation based evolutionary clustering for detecting overlapping and non-overlapping communities in dynamic networks
A novel method for generating a canonical basis for decision implications based on object-induced three-way operators
Coupled compressed sensing inspired sparse spatial-spectral LSSVM for hyperspectral image classification
An approach for facility location selection based on optimal aggregation operator
The role of organizational knowledge management in successful ERP implementation projects
Secure collaborative few-shot learning
A Hybrid-coded Human Learning Optimization for mixed-variable optimization problems
SIBS: A sparse encoder utilizing self-inspired bases for efficient image representation
Knowledge based metaphor interpretation
Inverted-Xception: A novel network with multi-channel squeeze-and-excitation temporal deep convolution for high-precision surface electromyography-based gesture recognition
A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Cross-modality salient object detection network with universality and anti-interference
A new hybrid semi-supervised algorithm for text classification with class-based semantics
The Selection Recognition Agent: instant access to relevant information and operations
Enhanced near-field depth estimation: Integrating global and local path networks
AdaMGT: Molecular representation learning via adaptive mixture of GCN-Transformer
CharFormer: Character-oriented attention network for string edit distance
Verify and measure the quality of rule based machine leaning
A content-based recommender system for computer science publications
Temporal knowledge graph question answering via subgraph reasoning
Design and application of a new knowledge engineering tool for solving real-world problems
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention
Enhancing ontological reasoning with uncertainty handling for activity recognition
A deep reinforcement learning based long-term recommender system
SiaDNN: Siamese deep neural network for anomaly detection in user behavior
BCV-Predictor: A bug count vector predictor of a successive version of the software system
Adaptive NeuroSpider-HAR: Bio-inspired neural optimization for high-precision human activity recognition
Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios
Olap GN: A multi-layered graph convolution network-based model for locating influential nodes in graph networks
MFS-MCDM: Multi-label feature selection using multi-criteria decision making
Fast Dynamic Multi-view Clustering with semantic-consistency inheritance
Boolean matrix factorization for symmetric binary variables
Computing marginal probabilities in causal multiway trees given incomplete information
Exploring post-hoc agnostic models for explainable cooking recipe recommendations
Unassisted thresholding based on multi-objective evolutionary algorithms
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems
SHKD: A framework for traffic prediction based on Sub-Hypergraph and Knowledge Distillation
A generic design environment for the rural industry knowledge acquisition
Expert systems in manufacturing. Part 1: A users' perspective on expert-systems innovation
Large language models can better understand knowledge graphs than we thought
ATSumm: Auxiliary information enhanced approach for abstractive disaster tweet summarization with sparse training data
Knowledge-based system for safety control of damaged ship
ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries
Domain adaptation with temporal ensembling to local attention region search for object detection
Boundary-aware Prototype Augmentation and Dual-level Knowledge Distillation for Non-Exemplar Class-Incremental Hashing
A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample
Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis
A histogram-driven generative adversarial network for brain MRI to CT synthesis
Computational Intelligence Applications for Data Science
Generating paraphrase sentences for multimodal entity-category-sentiment triple extraction
Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction
An error-analysis-based method for the priority of an intuitionistic preference relation in decision making
Enhancing forex market forecasting with feature-augmented multivariate LSTM models using real-time data
Deep long-range spatiotemporal dependency synthetic minority oversampling technique for imbalance-bearing fault diagnosis
Bidirectional interaction of CNN and Transformer for image inpainting
EigenGAN: An SVD subspace-based learning for image generation using Conditional GAN
A temporal model in Electronic Health Record search
The evolution of cooperation in continuous dilemmas via multi-agent reinforcement learning
New machine learning approaches for real-life human activity recognition using smartphone sensor-based data
The soft-margin Support Vector Machine with ordered weighted average
Tensor approximate entropy: An entropy measure for sleep scoring
Determinants of intangible assets value: The data mining approach
TEX: An efficient and effective unsupervised Web information extractor
Automatic creation of scenarios for evaluating spoken dialogue systems via user-simulation
AMAM: An Attention-based Multimodal Alignment Model for Medical Visual Question Answering
Formalization of Weighted Factors Analysis
Adversarial shared-private model for cross-domain clinical text entailment recognition
JCLRec: Joint diffusion model and dual contrastive learning for sequential recommendation
A heated stack based type-2 fuzzy multi-objective optimisation system for telecommunications capacity planning
Global sparse attention network for remote sensing image super-resolution
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
A multitask learning network with interactive fusion for surgical instrument segmentation
Estimating sequential bias in online reviews: A Kalman filtering approach
A unified framework for visual domain adaptation with covariance matching
Hierarchical cluster ensemble model based on knowledge granulation
Factored similarity models with social trust for top-N item recommendation
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition
Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation
Improving network topology-based protein interactome mapping via collaborative filtering
An intelligent marketing platform with influencer classification in social networking services
Neural graph personalized ranking for Top-N Recommendation
Mining truck platooning patterns through massive trajectory data
AutoML: A survey of the state-of-the-art
Discovering implicit intention-level knowledge from natural-language texts
Toward an expert system for chromosome analysis
Improving classification performance using unlabeled data: Naive Bayesian case
Uncertainty guided pruning of classification model tree
SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation
A novel deep multi-criteria collaborative filtering model for recommendation system
Hierarchical Correlations Replay for Continual Learning
A knowledge infused context driven dialogue agent for disease diagnosis using hierarchical reinforcement learning
The mechanism of orientation detection based on color-orientation jointly selective cells
CAVIAR: Context-driven Active and Incremental Activity Recognition
Bipartite synchronization for coupled memristive neural networks: Memory-based dynamic updating law
Ontological subscription and blocking system that alleviates information overload in social blogs
A task-resource allocation method based on effectiveness
Equidistant k-layer multi-granularity knowledge space
FedFM: A federated few-shot learning method by comparison network and model calibration
An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine
GLALLM: Adapting LLMs for spatio-temporal wind speed forecasting via global-local aware modeling
Causal diffused graph-transformer network with stacked early classification loss for efficient stream classification of rumours
Sparse structural feature selection for multitarget regression
Efficient pattern matching for graphs with multi-Labeled nodes
Dealing with uncertainty: Balancing exploration and exploitation in deep recurrent reinforcement learning
A computational model for causal learning in cognitive agents
Random walk-based algorithm for distance-aware influence maximization on multiple query locations
Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism
FairDLA: Improving the fairness-utility trade-off in graph neural networks via dual-level alignment
EBOD: An ensemble-based outlier detection algorithm for noisy datasets
Supporting negotiation mechanism privacy authority method in cloud computing
An evolution-based approach with modularized evaluations to forecast financial distress
A system to visualize different viewpoints for supporting researchers' creativity
Three types of monotonicity of averaging functions
Multi-level cross-view feature embedding for partial view-aligned clustering
A hybrid multifactorial evolutionary algorithm and firefly algorithm for the clustered minimum routing cost tree problem
An object-oriented intelligent design tool to aid the design of manufacturing systems
An overview of incremental feature extraction methods based on linear subspaces
S-FRULER: Scalable fuzzy rule learning through evolution for regression
An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China
Elderly people evacuation planning in response to extreme flood events using optimisation-based decision-making systems: A case study in western Sydney, Australia
A comparative study for content-based dynamic spam classification using four machine learning algorithms
Improving (α,f)-Byzantine resilience in federated learning via layerwise aggregation and cosine distance
Collaborative projects announced
Multiscale cyclic frequency demodulation-based feature fusion framework for multi-sensor driven gearbox intelligent fault detection
CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems
QUasi-Affine TRansformation Evolutionary (QUATRE) algorithm: A cooperative swarm based algorithm for global optimization
MCLA: Research on cumulative learning of Markov Logic Network
Modeling semantic knowledge structures for creative problem solving: Studies on expressing concepts, categories, associations, goals and context
Hypergraph convolution networks for botnet detection
ICCR-Diff: Identity-preserving and controllable craniofacial reconstruction with diffusion models
Surrogate-assisted cooperative signal optimization for large-scale traffic networks
A unified total variation method for underwater image enhancement
Multilingual POS tagging by a composite deep architecture based on character-level features and on-the-fly enriched Word Embeddings
Knowledge-based dynamic prompt learning for multi-label disease diagnosis
TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification
MOGBO: A new Multiobjective Gradient-Based Optimizer for real-world structural optimization problems
Bidirectional consistent hypercorrelation network for cross-domain few-shot segmentation
MLGAL: Multi-level Label Graph Adaptive Learning for node clustering in the attributed graph
Specification of a performance indicator using the evidential-reasoning approach
FlowFormer: 3D scene flow estimation for point clouds with transformers
Prediction model for pavement quality index (PQI) based on multi-source data fusion
Minimizing the influence of rumors during breaking news events in online social networks
Bi-branch bidirectional coupled interaction fusion network for multi-retinal diseases diagnosis
An efficient mining algorithm for maximal weighted frequent patterns in transactional databases
Internet-based intensive product design platform for product design
Dynamically induced clustering ant colony algorithm based on a coevolutionary chain
A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach
Finding rough set reducts with fish swarm algorithm
A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization
Improving open set recognition with dissimilarity-based metric learning
Lightweight full-convolutional siamese tracker
Shortest path computation using pulse-coupled neural networks with restricted autowave
Enhancing knowledge tracing with question-based contrastive learning
FBSA-Net: A novel model based on attention mechanisms for emotion recognition in VR and 2D scenes
Model for exploiting associative matching in AI production systems
Building expert systems in prolog : Dennis Merritt
E-learning course recommendation based on sentiment analysis using hybrid Elman similarity
Multi-Objective Volleyball Premier League algorithm
Memory-Net: Coupling feature maps extraction and hierarchical feature maps reuse for efficient and effective PET/CT multi-modality image-based tumor segmentation
Two density-based sampling approaches for imbalanced and overlapping data
Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching
A contrast-invariant feature extraction framework for single-domain generalization in infrared small target detection
Configuration management for Lyee software
Stochastic dynamics of division of labor games in finite populations
On Computing Entity Relatedness in Wikipedia, with Applications
FAGnet: Family-aware-based android malware analysis using graph neural network
Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme
Hermeneutics in expert systems
Intelligent index selection for case-based reasoning
SFNN: A secure and diverse recommender system through graph neural network and regularized variational autoencoder
Enhancing math reasoning ability of large language models via computation logic graphs
Enhancing learning process modeling for session-aware knowledge tracing
Biasing Bayesian Optimization Algorithm using Case Based Reasoning
GL-GNN: Graph learning via the network of graphs
Multi-core parallel algorithms for hiding high-utility sequential patterns
Unsupervised domain adaptation: A multi-task learning-based method
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
MCWANet: A hyperspectral anomaly detection network with multi-stage collaborative optimization of wavelet convolution and attention mask
Interest before liking: Two-step recommendation approaches
Towards a user based recommendation strategy for digital ecosystems
An electronic tree inventory for arboriculture management
A new type of recurrent fuzzy neural network for modeling dynamic systems
DeepfakeCLIP: Semantic-Opposite prompt learning for generalizable deepfake detection
Temporal dynamics unleashed: Elevating variational graph attention
Multiple-source domain adaptation with generative adversarial nets
Modeling and simulation method of the emergency response systems based on OODA
A particular directional multilevel transform based method for single-image rain removal
Erratum to "Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information" [Knowl. Based Syst. 52(2013) 53-64]
Few-shot defect recognition for the multi-domain industry via attention embedding and fine-grained feature enhancement
A situation refinement model for complex event processing
GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation
SPARQS: a qualitative spatial reasoning engine
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams
Enhancing robustness of object detection: Hubel-Wiesel model connected with deep learning
Representing dialogic argumentation
Mul-VMamba: Multimodal semantic segmentation using selection-fusion-based vision-Mamba
Solar energy prediction in IoT system based optimized complex-valued spatio-temporal graph convolutional neural network
Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer
Decentralized federated learning meets Physics-Informed Neural Networks
Cost-sensitive learning for defect escalation
MAKRS: a knowledge and belief representation system for multiple agents
Artificial immunity to control disturbances in public transportation systems: Concepts, mechanisms and a prototype implementation of a knowledge based decision support system
Granular neural networks with a reference frame
Domain Adversarial Neural Network with Reliable Pseudo-labels Iteration for cross-subject EEG emotion recognition
Enhancing the blackboard concept to produce a flexible, extensible knowledge-based design tool
SCDFuse: A semantic complementary distillation framework for joint infrared and visible image fusion and denoising
A transfer learning method using speech data as the source domain for micro-Doppler classification tasks
A-ReSEUnet: Achieve no-label binary segmentation of nuclei in histology images
Multi-view learning methods with the LINEX loss for pattern classification
Construction of a technology adoption decision-making model and its extension to understanding herd behavior
Fidelity based visual compensation and salient information rectification for infrared and visible image fusion
A construction of hyperbolic tree-based graph convolutional networks utilizing the Padé approximation
A hybrid genetic algorithm for the vehicle relocation problem with ride-sharing options in one-way car-sharing systems
Significance of activation functions in developing an online classifier for semiconductor defect detection
Multi-label modality enhanced attention based self-supervised deep cross-modal hashing
Pattern match query over fuzzy RDF graph
Sparse feature space representation: A unified framework for semi-supervised and domain adaptation learning