yusuke1997/dblp-id-title huggingface dataset:
Binary golden eagle optimizer combined with initialization of feature number subspace for feature selection
Hierarchical influential node identification in multi-agent networks based on triangular recursive compression
Fusion of spectral and prosody modelling for multilingual speech emotion conversion
Using time topic modeling for semantics-based dynamic research interest finding
Computation scheme for the general purpose VLSI fuzzy inference engine as expert system
An algorithm of constructing concept lattices for CAT with cognitive diagnosis
ESIS: Emotion-based spreader-ignorant-stifler model for information diffusion
Balanced clustering based on collaborative neurodynamic optimization
Performance of latent factor models with extended linear biases
A dynamic optimization approach to the design of cooperative co-evolutionary algorithms
SynMatch: A synergistic system for multi-level semi-supervised medical image segmentation
GA-SmaAt-GNet: Generative adversarial small attention GNet for extreme precipitation nowcasting
Optimization of makespan for the distributed no-wait flow shop scheduling problem with iterated greedy algorithms
Prediction of DNA-binding proteins by interaction fusion feature representation and selective ensemble
Evolutionary Bayesian Optimization for automated circuit sizing
Joint item recommendation and trust prediction with graph neural networks
A deep learning based algorithm for multi-criteria recommender systems
Learning multi-grained aspect target sequence for Chinese sentiment analysis
DeepCut++: Graph-based unsupervised segmentation with feature fusion and diffusion learning
GANFR: GAN fingerprint removal network for image anti-forensics
Evolving data-adaptive support vector machines for binary classification
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures
ApproxCCA: An approximate correlation analysis algorithm for multidimensional data streams
A Linearly Adaptive Sine-Cosine Algorithm with Application in Deep Neural Network for Feature Optimization in Arrhythmia Classification using ECG Signals
An improved density peaks clustering algorithm with fast finding cluster centers
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks
Stochastic fractal equilibrium optimizer with X-shaped dynamic transfer function for solving large-scale feature selection problems
Learning flexible network representation via anonymous walks
DCAGTN: Dual-snapshot causal-attention graph transformer with feedback mechanism for real-time rumor detection
Federated learning with integration of decision making method and various machine learning algorithms for Alzheimer's prediction
Effect of thesaurus size on schema matching quality
Knowledge-informed generative adversarial network for functional calibration of computer models
Classification optimization node injection attack on graph neural networks
Multi-instance imbalance semantic segmentation by instance-dependent attention and adaptive hard instance mining
An anchor-free object detector with novel corner matching method
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
Robust and efficient FISTA-based method for moving object detection under background movements
PathReasoner: Explainable reasoning paths for commonsense question answering
A framework for evaluation and requirement extraction for fine-tuning of Large Language Models in multimodal medical diagnosis
When actions have consequences: empirically based decision making for intelligent user interfaces
SiamAtt: Siamese attention network for visual tracking
Pseudo knowledge driven and lightweight reverse distillation for multimodal anomaly detection
Continual learning-based trajectory prediction with memory augmented networks
Integrated prediction intervals and specific value predictions for regression problems using neural networks
Causality-based counterfactual explanation for classification models
PGC-CSS: A parallel graph clustering framework with collaborative self-supervision
A seasonal discrete grey forecasting model for fashion retailing
A Multi-scale neighbourhood feature interaction network for photovoltaic cell defect detection
Tackling the start-up of a reinforcement learning agent for the control of wastewater treatment plants
Graph topology adaptive judgment against node label noise
Multimodal semantic enhanced representation network for micro-video event detection
Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling
Trust-based role coordination in task-oriented multiagent systems
An intelligent hybrid classification algorithm integrating fuzzy rule-based extraction and harmony search optimization: Medical diagnosis applications
ECH3OA: An Enhanced Chimp-Harris Hawks Optimization Algorithm for copyright protection in Color Images using watermarking techniques
A new similarity function for selecting neighbors for each target item in collaborative filtering
Sparse online feature maps
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification
Executing medical guidelines on the web: Towards next generation healthcare
Progressive refined redistribution pyramid network for defect detection in complex scenarios
A probabilistic model for truth discovery with object correlations
Incremental updating approximations in probabilistic rough sets under the variation of attributes
Accumulation of object representations utilising interaction of robot action and perception
Random forest calibration
A novel approach for rumor detection in social platforms: Memory-augmented transformer with graph convolutional networks
The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach
Towards a fuzzy logic programming system: a clausal form fuzzy logic
Storing OWL ontologies in object-oriented databases
A unified multi-level spectral-temporal feature learning framework for patient-specific seizure onset detection in EEG signals
AUDAN: An adversarial unsupervised domain adaptation network informed decision-making in audit risk assessment
K-nearest neighbor based structural twin support vector machine
Multiview Latent Structure Learning: Local structure-guided cross-view discriminant analysis
FastBTM: Reducing the sampling time for biterm topic model
Reward guidance for reinforcement learning tasks based on large language models: The LMGT framework
CSP-Net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification
A tissue-based biomarker model for predicting disease patterns
Identifying super-spreaders in information-epidemic coevolving dynamics on multiplex networks
SFUDNet: Underwater object detection via spatial-frequency domain modulation with mixture of experts
Prob-CLR: A probabilistic approach to learn discriminative representation
A noise-aware fuzzy rough set approach for feature selection
Robust probability model based on variational Bayes for point set registration
Design tools as agents of disclosure
Weakly supervised camouflaged object detection as Progressive Perception Learning
A tensor-based method for inferring trip purposes using large-scale mobile signaling data
S4: Self-supervised learning with sparse-dense sampling
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution
Explainable medical visual question answering via chain of evidence
A foundation model-based framework for unsupervised gaze anomaly detection
Fuzzy optimization to improve mobile health and wellness recommendation systems
Design and validation of a relative trust model
An optimal feature selection based hybrid intelligent model for software defect prediction
Domain knowledge-guided intelligent recognition of multi-type potential landslides
Demystifying deep credit models in e-commerce lending: An explainable approach to consumer creditworthiness
Discovering unexpected documents in corpora
Reputation-Based Maintenance in Case-Based Reasoning
Multi-label classification with local pairwise and high-order label correlations using graph partitioning
Personalized Federated Learning via Classifier Similarity-based Clustering and Bi-Level Optimization
Constructing importance measure of attributes in covering decision table
A weighted adaptation method on learning user preference profile
A characterization for some type-2 fuzzy strong negations
Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network
A novel belief rule base representation, generation and its inference methodology
Granular reducts of formal fuzzy contexts
Attention based long-term air temperature forecasting network: ALTF Net
Build complementary models on human feedback for simulation to the real world
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
Noise-enhanced graph contrastive learning for multimodal recommendation systems
Multi-documents Automatic Abstracting based on text clustering and semantic analysis
jKarma: A highly-modular framework for pattern-based change detection on evolving data
Dynamic pick-up point recommendation with multi-modal deep forest and incentive-based adaptive Kuhn-Munkres Algorithm
Boundary precedence image inpainting method based on Self-organizing Maps
Content and context features for scene image representation
A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations
CALA: An unsupervised URL-based web page classification system
CESDQL: Communicative experience-sharing deep Q-learning for scalability in multi-robot collaboration with sparse reward
Knowledge-enhanced attentive learning for answer selection in community question answering systems
Semantic model for knowledge representation in e-business
Convolutional long-short term memory network for space debris detection and tracking
Explainable fine-grained visual classification via structured semantic representation learning for construction machinery
A new automatic identification system of insect images at the order level
A cyclical loss-based optimization algorithm for pretraining LLMs on noisy data
DenseUNet: Improved image classification method using standard convolution and dense transposed convolution
Generating and managing metadata for Web-based information systems
A hierarchical estimation of multi-modal distribution programming for regression problems
See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization
Next-song recommendation with temporal dynamics
A dual-branch federated graph learning model with global graph structure information
Byzantine robustness and performance improvement in federated cross-modal generation of tactile data
Software test quality rating: A paradigm shift in swarm computing for software certification
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells
Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system
Unsupervised domain adaptation via progressive positioning of target-class prototypes
Text clustering using frequent itemsets
3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning
Optimization of problems with multiple objectives using the multi-verse optimization algorithm
Missed diagnoses detection by adversarial learning
Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination
Better entity matching with transformers through ensembles
Language model as an Annotator: Unsupervised context-aware quality phrase generation
ASRNN: A recurrent neural network with an attention model for sequence labeling
Modelling high-frequency FX rate dynamics: A zero-delay multi-dimensional HMM-based approach
Multi-view clustering via latent consistency multi-graph fusion
An efficient algorithm for mining high utility patterns from incremental databases with one database scan
Multitask deep learning for native language identification
A memetic algorithm for computing and transforming structural balance in signed networks
Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment
Scene sketch semantic segmentation with hierarchical Transformer
Universal, unsupervised (rule-based), uncovered sentiment analysis
Corpus callosum MR image classification
Blockchain-integrated multi-modal LSTM-CNN fusion for high-precision epileptic seizure detection from EEG signals
Modeling interestingness of streaming association rules as a benefit-maximizing classification problem
Sparse unmixing of hyperspectral images based on multi-scale superpixel-guided low-rank representation
Analysis on repeat-buying patterns
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function
Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views
Containment control for second-order multi-agent systems with intermittent sampled position data under directed topologies
Domain attention model for multi-domain sentiment classification
Imbalanced text sentiment classification using universal and domain-specific knowledge
Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis
Mining fuzzy association rules from questionnaire data
RGB-D mutual guidance for semi-supervised defocus blur detection
Ranking-order case-based reasoning for financial distress prediction
K-NNDP: K-means algorithm based on nearest neighbor density peak optimization and outlier removal
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy
Remote sensing image captioning via Variational Autoencoder and Reinforcement Learning
Use of genetic algorithms in training diagnostic rules for process fault diagnosis
XML Matchers: Approaches and challenges
A new similarity measure for collaborative filtering based recommender systems
Skyline quantity-utility sequential pattern mining: An efficient and effective approach
Volume, variety and velocity in Data Science
Comparative evaluation of machine learning models for predicting clad bead geometry in gas metal arc welding
Optimal targeting of nonlinear chaotic systems using a novel evolutionary computing strategy
Weakly supervised topic sentiment joint model with word embeddings
Mining the real-time web: A novel approach to product recommendation
Mining patterns for clustering on numerical datasets using unsupervised decision trees
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks
Multi-granular mining for boundary regions in three-way decision theory
Semantic trajectory compression via multi-resolution synchronization-based clustering
Parallel service mode of production and inventory for spare part inventory optimization
Comparison between different kinds of approximations by using a family of binary relations
Understanding the game behavior with sentiment and unequal status in cooperation network
Fine-grained multivariate time series anomaly detection via causal inference
Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
Quantifying the value of knowledge within the context of product development
System for managing and refining structural characteristics discovered from databases
Cooperative Markov Decision Process model for human-machine co-adaptation in robot-assisted rehabilitation
Dense members of local cores-based density peaks clustering algorithm
L-EncDB: A lightweight framework for privacy-preserving data queries in cloud computing
A fine-grained load balancing technique for improving partition-parallel-based ontology matching approaches
Pacos : Modeling preference reversals in users' context-dependent choices
An information theoretic approach to quantify the stability of feature selection and ranking algorithms
A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets
Multi-views Emotional Knowledge Extraction for Emotion Recognition in Conversation
Phototropic growth algorithm: A novel metaheuristic inspired from phototropic growth of plants
Graded dominance interval-based fuzzy objective information systems
Orientation Attention Network for semantic segmentation of remote sensing images
LDGC-SR: Integrating long-range dependencies and global context information for session-based recommendation
Recurrent multi-view collaborative registration network for 3D reconstruction and optical measurement of blade profiles
A special issue on Intelligent Decision Support and Warning Systems
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Online grooming detection: A comprehensive survey of child exploitation in chat logs
GOL-SFSTS based few-shot learning mechanical anomaly detection using multi-channel audio signal
Incremental approaches for feature selection from dynamic data with the variation of multiple objects
Confident local similarity graphs for unsupervised feature selection on incomplete multi-view data
Deep learning-based dual watermarking solution for securing medical images in e-healthcare
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
Integrating statistical and lexical information for recognizing textual entailments in text
Knowledge management perspective on e-learning effectiveness
A reinforcement learning-based dynamic multi-objective optimization approach for integrated timetabling and vehicle scheduling
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots
Natural local density-based adaptive oversampling algorithm for imbalanced classification
An efficient federated learning framework for graph learning in hyperbolic space
MASK-CNN-Transformer for real-time multi-label weather recognition
Fraud detection using self-organizing map visualizing the user profiles
Use of data mining techniques to model crime scene investigator performance
Data calibration for statistical-based assessment in constraint-based tutors
Learning heterogeneous graph embedding for Chinese legal document similarity
Transformer-based hierarchical dynamic decoders for salient object detection
Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system
EAA-Net: A novel edge assisted attention network for single image dehazing
Group recommender systems: A multi-agent solution
Dynamic curriculum learning for conversation response selection
Evolving a dynamic predictive coding mechanism for novelty detection
RARE: Mining colossal closed itemset in high dimensional data
OnCob: An ontology-based knowledge system for supporting position and classification of co-branding strategy
A λ-rough set model and its applications with TOPSIS method to decision making
A stability constrained adaptive alpha for gravitational search algorithm
Interaction with a mixed-initiative system for exploratory data analysis
Learning robust correlation with foundation model for weakly-supervised few-shot segmentation
Rule-based modular software and hardware architecture for multi-shaped robots using real-time dynamic behavior identification and selection
Fast visual tracking with lightweight Siamese network and template-guided learning
Locating the propagation source on complex networks with Propagation Centrality algorithm
Joint sparse latent representation learning and dual manifold regularization for unsupervised feature selection
Dual-stream feature aggregation and dual guided upsampling for efficient multi-exposure correction
Approximate convex skyline: A partitioned layer-based index for efficient processing top-k queries
Stacked ensemble coupled with feature selection for biomedical entity extraction
Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification
The intelligent decision-making of copper flotation backbone process based on CK-XGBoost
Robust spatial temporal imputation based on spatio-temporal generative adversarial nets
Automated identification and grading system of diabetic retinopathy using deep neural networks
Towards a general computational framework for model-based interface development systems
Framework of knowledge-based systems : Multiple meta-level architecture for representing problems and problem-solving processes
A collaborative filtering approach to mitigate the new user cold start problem
BNPA : An R package to learn path analysis input models from a data set semi-automatically using Bayesian networks
Distilling vision-language pre-training models with modality-specific meta-learning
Dynamic graph transformer for 3D object detection
MICE: Mining Idioms with Contextual Embeddings
Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network
A genetic programming-based method for image classification with small training data
Multi-class feature selection by exploring reliable class correlation
Variational global clue inference for weakly supervised video moment retrieval
Dictionary learning based on discriminative energy contribution for image classification
Asymmetric convolutional modulation network for efficient image super-resolution
Improved User Identification through Calibrated Monte-Carlo Dropout
A model of organizational employees' e-learning systems acceptance
PSATop-k: Approximate range top-k computation on big data
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation
A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system
Multilevel manufacturing knowledge in an AI-based modelling system for the design of flexible machining cells
Establishment of attribute bitmaps for efficient XACML policy evaluation
A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter
A knowledge-based approach for business process reengineering, SHAMASH
Hyper-cylindrical micro-clustering for streaming data with unscheduled data removals
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce
Multiview adaptive attention pooling for image-text retrieval
A cluster chaotic optimization for solving power loss and voltage profiles problems on electrical distribution networks
Hierarchical attribute reduction algorithms for big data using MapReduce
SP-SMOTE: A novel space partitioning based synthetic minority oversampling technique
CNN tracking based on data augmentation
Enhanced prototype network with gated point recyclable feature mining for few-shot 3D point cloud classification
A novel approach to pre-extracting support vectors based on the theory of belief functions
Adaptive search space for stochastic opposition-based learning in differential evolution
Short-term load forecasting based on CEEMDAN and dendritic deep learning
Enhanced performance of high-speed MANET utilizing variational relation vector graph neural network optimized with superb fairy wren optimization algorithm
ALGGNet: An adaptive local-global-graph representation network for brain-computer interfaces
Verifying ontological commitment in knowledge-based systems