yusuke1997/dblp-id-title huggingface dataset:
Handling class imbalance and overlap with a Hesitation-based instance selection method
Double-suppressed possibilistic fuzzy Gustafson-Kessel clustering algorithm
New data reduction algorithms based on the fusion of instance and feature selection
Evolutionary dynamics of strategies for threshold snowdrift games on complex networks
HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines
A dissimilarity measure for the k-Modes clustering algorithm
A novel hybrid intelligent approach for contractor default status prediction
Deep fusion of feature and topology via neural attention for multilayer community detection
Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models
Deep-learning based autonomous-exploration for UAV navigation
Blockchain-machine learning fusion for enhanced malicious node detection in wireless sensor networks
A dual-operator strategy for a multiobjective evolutionary algorithm based on decomposition
A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
Multi-label category enhancement fusion distillation based on variational estimation
Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations
GCN-based document representation for keyphrase generation enhanced by maximizing mutual information
A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization
A compensatory model for computing with words under discrete labels and incomplete information
Predicting user behavior on video streaming by using watch-time duration analysis
Creative Systems
DPGNN: Dual-perception graph neural network for representation learning
Symmetric transformer-based network for unsupervised image registration
Low-rank kernel learning for graph-based clustering
Those "psychological tools" inside the design process
An intelligent decision support system for the accurate diagnosis of cervical cancer
Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios
Adaptive generic prototype network with geodesic distance for cross-domain few-shot fault diagnosis
An explainable data-driven decision support framework for strategic customer development
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing
DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions
Enhancing QUasi-Affine TRansformation Evolution (QUATRE) with adaptation scheme on numerical optimization
CENN: Capsule-enhanced neural network with innovative metrics for robust speech emotion recognition
Few-shot and chain-of-thought prompting for equipment maintenance knowledge graph construction via large language models
Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases
Progressive normalizing flow with learnable spectrum transform for style transfer
Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis
Automated vulnerability score prediction through lightweight generative AI
Rethinking one-shot face reenactment: A spatial-temporal reconstruction view
An online portfolio strategy based on trend promote price tracing ensemble learning algorithm
An attention-guided and prior-embedded approach with multi-task learning for shadow detection
BiMT-TCN: A cutting-edge hybrid model for enhanced stock price prediction
Heterogeneous dynamical academic network for learning scientific impact propagation
OPTIONS attack detection in WSN using Optimized Multitask Multi-Attention Residual Shrinkage Convolutional Neural Network
An opinion dynamics model for unrelated discrete opinions
Transfer learning using computational intelligence: A survey
Active differentiable structure learning for clinical causal discovery
UV Gaussians: Joint learning of mesh deformation and Gaussian textures for human avatar modeling
Supporting design through the strategic use of shape grammars
The hierarchical task network planning method based on Monte Carlo Tree Search
A special issue on artificial intelligence in computer games: AICG
Multi-label feature selection via similarity constraints with non-negative matrix factorization
Active learning with confidence-based answers for crowdsourcing labeling tasks
Associative classification based on the Transferable Belief Model
Multiprocessor task scheduling using multi-objective hybrid genetic Algorithm in Fog-cloud computing
Leveraging bilingual-view parallel translation for code-switched emotion detection with adversarial dual-channel encoder
Deep hybrid transformer network for robust modulation classification in wireless communications
Collective behavior learning by differentiating personal preference from peer influence
Predictive analytics for demand forecasting: A deep learning-based decision support system
A new density-based subspace selection method using mutual information for high dimensional outlier detection
Secrecy of cryptographic protocols under equational theory
Graph convolutional networks in language and vision: A survey
Automated machine learning approach for time series classification pipelines using evolutionary optimization
A resilient generative model in few-shot question answering
Uncertain multi-attributes decision making method based on interval number with probability distribution weighted operators and stochastic dominance degree
A new relational learning system using novel rule selection strategies
Libra-SOD: Balanced label assignment for small object detection
Cross-modal domain generalization semantic segmentation based on fusion features
Knowledge modelling for constructing an expert system to support reforestation decisions
High-rank corrected multi-head self attention for image super resolution
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing
Knowledge reduction in decision formal contexts
Hierarchically stacked graph convolution for emotion recognition in conversation
Fed3Scale: A cloud-edge-client tri-scale collaborative semi-supervised hierarchical federated learning framework
Dynamic opposite learning enhanced teaching-learning-based optimization
HeteroKGRep: Heterogeneous Knowledge Graph based Drug Repositioning
Outperforming the tutor: Expert-infused deep reinforcement learning for dynamic portfolio selection of diverse assets
MFDB: Multimodal feature fusion and dynamic behavior modeling for interactive recommendation systems
CIFair: Constructing continuous domains of invariant features for image fair classifications
Semantic interpretation and knowledge extraction
Pattern-based refinement schemas for design knowledge transfer
Knowledge representation for preliminary stages of engineering tasks
Bayesian image segmentation fusion
Relational region-driven network with contrastive learning for explicit and implicit aspect sentiment triplet extraction
One global optimization method in network flow model for multiple object tracking
A dual-mode local search algorithm for solving the minimum dominating set problem
Backtest overfitting in the machine learning era: A comparison of out-of-sample testing methods in a synthetic controlled environment
Long-term sequence dependency capture for spatiotemporal graph modeling
Structural analysis of relevance propagation models
Double level set segmentation model based on mutual exclusion of adjacent regions with application to brain MR images
Optimized brain tumor identification via graph sample and aggregate-attention network with Artificial Lizard Search Algorithm
Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment
Multi-label text classification based on semantic-sensitive graph convolutional network
Automatic microcalcification and cluster detection for digital and digitised mammograms
Document-level relation extraction with global and path dependencies
Temporal knowledge graph representation learning with local and global evolutions
Direct talkback in computer supported tools for the conceptual stage of design
Collaborative caching strategy based on optimization of latency and energy consumption in MEC
Variational autoencoder densified graph attention for fusing synonymous entities: Model and protocol
Integrity and rule checking in nonmonotonic knowledge bases
MIDAS: an application of model-based reasoning for the diagnosis of hydraulic systems
Statistical-mean double-quantitative K-nearest neighbor classification learning based on neighborhood distance measurement
Decomposition with feature attention and graph convolution network for traffic forecasting
Traffic big data prediction and visualization using Fast Incremental Model Trees-Drift Detection (FIMT-DD)
Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation
Attention-calibration based double-branch cross-domain person re-identification
Style-aware two-stage learning framework for video captioning
Consensus-making support system for creative problem solving
Expert system helps experts
Locally alignment based manifold learning for simultaneous feature selection and extraction in classification problems
FedGODE: Secure traffic flow prediction based on federated learning and graph ordinary differential equation networks
Angle-based twin parametric-margin support vector machine for pattern classification
FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification
An agent-based approach for integrating user profile into a knowledge management process
An expert system using an extended AND-OR graph
MoTE: Mixture of task-specific experts for pre-trained model-based Class-incremental learning
Knowledge based systems series Vol. 1: Knowledge acquisition for knowledge based systems Vol. 2: Knowledge acquisition tools for expert systems: B Gaines and J Boose (Eds)
Generalized logarithmic proportional averaging operators and their applications to group decision making
Linear discriminant analysis with trimmed and difference distribution modeling
DLCS: A deep learning-based Clustering solution without any clustering algorithm, Utopia?
Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process
A cost sensitive decision tree algorithm with two adaptive mechanisms
Multiplane depth image for view-consistent light field depth estimation
Causality-inspired representation learning for weakly supervised skeleton-based action recognition
Knowledge representation and discovery based on linguistic atoms
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment
Data augmentation for sentiment classification with semantic preservation and diversity
Extension of the temporal synchrony approach to dynamic variable bindingin a connectionist inference system
Building an interactive blackboard framework
Ensemble based rough fuzzy clustering for categorical data
Resource allocation under a strategic alliance: How a cooperative network with knowledge flow spurs co-evolution
Integrated multilayer reinforcement model: Explaining the dynamics of online radicalization
Dynamically adding symbolically meaningful nodes to knowledge-based neural networks
Semi-supervised multi-label dimensionality reduction learning based on minimizing redundant correlation of specific and common features
Attribute reduction: A dimension incremental strategy
Logistic Regression Matching Pursuit algorithm for text classification
Group inference method of attribution theory based on Dempster-Shafer theory of evidence
Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data
From evaluation to detection: Advancing poisoning attack defense in recommender systems
Mining interestingness measures for string pattern mining
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
Selective Subsequence Time Series clustering
Combining active learning and semi-supervised learning to construct SVM classifier
Cross-ratio uninorms as an effective aggregation mechanism in sentiment analysis
Semi-supervised feature selection via adaptive structure learning and constrained graph learning
An end-to-end atrial fibrillation detection by a novel residual-based temporal attention convolutional neural network with exponential nonlinearity loss
Design of multi-warehouse inventory model for an optimal replenishment policy using a Rain Optimization Algorithm
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data
A novel bundling learning paradigm for named entity recognition
Federated LSTM autoencoders for time series anomaly detection in production-scale HPC systems
Special issue on 'Legacy systems and software change'
Aiding decision makers in articulating a preference closeness model through compensatory fuzzy logic for many-objective optimization problems
Discriminator to grade classification results of neural networks via Prediction Error Tracking Method
Portable graph-based rumour detection against multi-modal heterophily
Equilibrium optimizer: A novel optimization algorithm
Some methods to deal with unacceptable incomplete 2-tuple fuzzy linguistic preference relations in group decision making
Identifying influential nodes in complex networks with community structure
An alternative verification and validation technique for an alternative knowledge representation and acquisition technique
Hyperparameter optimization of deep neural network using univariate dynamic encoding algorithm for searches
Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction
A multi-model attention based CNN-BiLSTM model for personality traits prediction based on user behavior on social media
Hybrid machine learning methods for risk assessment in gender-based crime
Dynamic evolution of multi-graph based collaborative filtering for recommendation systems
Prompt-based event relation identification with Constrained Prefix ATTention mechanism
Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working conditions
SIF-TF: A Scene-Interaction fusion Transformer for trajectory prediction
An expert knowledge-based dynamic maintenance task assignment model using discrete stress-strength interference theory
A DEMATEL method in identifying key success factors of hospital service quality
MCN: A mixture capsule network for authentic blind image quality assessment
Efficient continuous subgraph matching scheme considering data reuse
SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams
MvTS-library: An open library for deep multivariate time series forecasting
Three-dimensional collaborative path planning for multiple UCAVs based on improved artificial ecosystem optimizer and reinforcement learning
Elementary discourse units with sparse attention for multi-label emotion classification
Plant species recognition based on global-local maximum margin discriminant projection
Warning system for online market research - Identifying critical situations in online opinion formation
Fear-constrained personalized and anthropomorphic reinforcement learning for autonomous car-following
AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
Class-specific representation based distance metric learning for image set classification
Consensus analysis for AHP multiplicative preference relations based on consistency control: A heuristic approach
An explainable deep vision system for animal classification and detection in trail-camera images with automatic post-deployment retraining
A Bayesian latent variable model with classification and regression tree approach for behavior and credit scoring
PoinKI: A Poincaré-Embedded knowledge-integrated model for dynamic link prediction
Ontology-based conditional random fields for object recognition
A decision model for blockchain applicability into knowledge-based conversation system
Scenario potentiality-constrain network for RGB-D salient object detection
Rim: A reusable iterative model for big data
Dual-feature-embeddings-based semi-supervised learning for cognitive engagement classification in online course discussions
A multi-measure feature selection algorithm for efficacious intrusion detection
Scalable Multiview Clustering through Consistency Fusion of Shared Bipartite Graphs
Siamese visual tracking combining granular level multi-scale features and global information
Classification of microarray using MapReduce based proximal support vector machine classifier
Multi-view enhanced truck re-identification
Finding overlapping community from social networks based on community forest model
Feature selection for hierarchical classification via joint semantic and structural information of labels
Credal c-means clustering method based on belief functions
Hybrid knowledge-based architecture for building an intelligent nondestructive signal inspection system
Diverse and high-quality text generation assisted by large language models
PHmatch: A prototype-driven semi-supervised framework for insect sound recognition
Integrating AI planning techniques with workflow management system
EK-NNclus: A clustering procedure based on the evidential K-nearest neighbor rule
Genetic algorithm with healthy population and multiple streams sharing information for clustering
Hypernetwork approach to rapid NeRF adaptation
Cross-lingual sentiment classification: Similarity discovery plus training data adjustment
An effective and efficient approach to classification with incomplete data
Partially shared federated multiview learning
Going beyond stemming: creating concept signatures of complex medical terms
Simplified hybrid fireworks algorithm
A fuzzy logic model for forecasting exchange rates
Automating case selection in the construction of a case library
Special types of coverings and axiomatization of rough sets based on partial orders
An emotion-based independent cascade model for sentiment spreading
Reward-free offline reinforcement learning: Optimizing behavior policy via action exploration
Dual-stream cross-modality fusion transformer for RGB-D action recognition
FTOR-Mod PSO: A fault tolerance and an optimal relay node selection algorithm for wireless sensor networks using modified PSO
Clustering matrix regularization guided hierarchical graph pooling
Two new single/multi-objective multi-strategy algorithms for the parametric estimation of dual band-notched ultra wideband antennas
Total orders of extended hesitant fuzzy linguistic term sets: Definitions, generations and applications
Integration of ontology reasoning-based monocular cues in deep learning modeling for single image depth estimation in urban driving scenarios
A context-aware embeddings supported method to extract a fuzzy sentiment polarity dictionary
Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction
Early detection of spamming accounts in large-Scale service provider networks
A semi-automatic annotation methodology that combines Summarization and Human-In-The-Loop to create disinformation detection resources
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Domain-generalized token linking in vision foundation models for semantic segmentation
Fuzzy unordered rule induction algorithm in text categorization on top of geometric particle swarm optimization term selection
AdpSTGCN: Adaptive spatial-temporal graph convolutional network for traffic forecasting
Representation and processing of information related to real world events
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III
An enhanced deep learning network induced by full visual mechanism for image compressive sensing
Cross-domain UAV pose estimation: A novel attempt in UAV visual localization
QuadAt-GAN: Quad attention enabled generative adversarial network for photorealistic image generation
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque
Knowledge acquisition for medical diagnosis systems
Relational databases as a massive information source for defeasible argumentation
PDA: Progressive Domain Adaptation for Semantic Segmentation
Prostate cancer forecasting in small samples based on lightweight neural networks using ensemble learning
Instance selection for time series classification based on immune binary particle swarm optimization
Technical overview of the intelligent file store
Regularizing deep networks with prior knowledge: A constraint-based approach
Spectral clustering algorithm using density-sensitive distance measure with global and local consistencies
CE3: A three-way clustering method based on mathematical morphology
FGCR: Fused graph context-aware recommender system
Mamba -GTC: Cross-view contrastive learning with state space modeling for heterogeneous graph representation
Coarse-to-fine fusion for language grounding in 3D navigation
Extended TODIM method for hybrid multiple attribute decision making problems
Visual prompt-driven universal model for medical image segmentation in radiotherapy
A novel approach to attribute reduction based on weighted neighborhood rough sets
Decider: A fuzzy multi-criteria group decision support system
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Multi-Aspect co-Attentional Collaborative Filtering for extreme multi-label text classification
Feature selection based on non-negative spectral feature learning and adaptive rank constraint
Density Peak Clustering with connectivity estimation
Multivariate data binning and examples generation to build a Diabetic Retinopathy classifier based on temporal clinical and analytical risk factors
Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies
Enhanced swarm intelligence optimization: Inspired by cellular coordination in immune systems
An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features
Learning high-order fuzzy cognitive maps via multimodal artificial bee colony algorithm and nearest-better clustering: Applications on multivariate time series prediction
Learning hierarchical concepts based on higher-order fuzzy semantic cell models through the feed-upward mechanism and the self-organizing strategy
EEG emotion recognition based on dynamic temporal causal graph convolutional network
Shapley-based graph explanation in embedding space
Multi-view distance metric learning via independent and shared feature subspace with applications to face and forest fire recognition, and remote sensing classification
Local-to-global GCN with knowledge-aware representation for distantly supervised relation extraction
A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation
CasCIFF: A cross-domain information fusion framework tailored for cascade prediction in social networks
Explicit and implicit Valuation-Based System methods for the risk assessment of systems subject to common-cause failures under uncertainty
Special Issue on "Computational Approaches for Early Stages of Design"
Probabilistic outputs for twin support vector machines