yusuke1997/dblp-id-title huggingface dataset:
HIN-based rating prediction in recommender systems via GCN and meta-learning
An entropy-based distance measure for analyzing and detecting metamorphic malware
Graph topology enhancement for text classification
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Robust kernel-based multiclass support vector machines via second-order cone programming
Research on the application of high-efficiency detectors into the detection of prohibited item in X-ray images
An end-to-end audio classification framework with diverse features for obstructive sleep apnea-hypopnea syndrome diagnosis
QPGCN: graph convolutional network with a quadratic polynomial filter for overcoming over-smoothing
Active learning using a self-correcting neural network (ALSCN)
NCDCN: multi-focus image fusion via nest connection and dilated convolution network
Factorized multi-scale multi-resolution residual network for single image deraining
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection
Community-based influence maximization in attributed networks
An Adaptable IE System to New Domains
Stochastic-simulation-based multi-attribute group decision-making method under uncertain environment and the application
Boundary-sensitive Adaptive Decoupled Knowledge Distillation For Acne Grading
Multi-attention based semantic deep hashing for cross-modal retrieval
A universal planning system for hybrid domains
Dense image-mask attention-guided transformer network for jaw lesions classification and segmentation in dental cone-beam computed tomography images
EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification
A diversity preserving selection in multiobjective evolutionary algorithms
A new hybrid approach for intrusion detection using machine learning methods
Entity-relation aggregation mechanism graph neural network for knowledge graph embedding
Unsupervised attribute reduction based on neighborhood dependency
SEMFNet: Multi-path dynamic fusion text detection model combined with scale estimation module
A novel hierarchical clustering algorithm with merging strategy based on shared subordinates
Disturbance management design for a holonic multiagent manufacturing system by using hybrid approach
Efficient capacity-distortion reversible data hiding based on combining multipeak embedding with local complexity
Tensor projection mechanism and algorithm implementation
FinCaKG-Onto: the financial expertise depiction via causality knowledge graph and domain ontology
CovidCurve: curve fitting modeling and early forecasting of the size and duration of Covid-19 outbreaks
Deep neural networks for explainable feature extraction in orchid identification
Mining top-k high average-utility itemsets based on breadth-first search
Reinforcement learning-based optimal bipartite formation tracking for uncertain networked agents via enhanced adaptive policy iteration
Multi-level knowledge-based approach for implicit aspect identification
Speeding up distributed pseudo-tree optimization procedures with cross edge consistency to solve DCOPs
Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees
A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems
A chaotic variant of the Golden Jackal Optimizer and its application for medical image segmentation
Multi-scale pooling learning for camouflaged instance segmentation
Post-processing method with aspect term error correction for enhancing aspect term extraction
Don't get me wrong: How to apply deep visual interpretations to time series
Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms
An actor-critic learning framework based on Lyapunov stability for automatic assembly
Multi-stage deep probabilistic prediction for travel demand
Multi-topical authority sensitive influence maximization with authority based graph pruning and three-stage heuristic optimization
Discriminatively embedded fuzzy K-Means clustering with feature selection strategy
The Efficient-CapsNet model for facial expression recognition
Correction to: LegalATLE: an active transfer learning framework for legal triple extraction
Dynamically modulated robot compliance via online fuzzy neural networks for individualized ankle rehabilitation
Determining Worst-Case Gust Loads on Aircraft Structures Using an Evolutionary Algorithm
Knowledge Extraction from Transducer Neural Networks
LTI ODE-valued neural networks
Identifying key grid cells for crowd flow predictions based on CNN-based models with the Grad-CAM kit
A novel discrete whale optimization algorithm for solving knapsack problems
Lake water body extraction of optical remote sensing images based on semantic segmentation
Supervised Extended ART: A Fast Neural Network Classifier Trained by Combining Supervised and Unsupervised Learning
Pipeline damage identification based on an optimized back-propagation neural network improved by whale optimization algorithm
Coupled low rank representation and subspace clustering
Optimizing storage assignment, order picking, and their interaction in mezzanine warehouses
Intra-frame scan-free video state spaces model for video moment retrieval
A supervised particle swarm algorithm for real-parameter optimization
Model-free sliding mode resilient control of cyber-physical system based on reinforcement learning
MHA-DGCLN: multi-head attention-driven dynamic graph convolutional lightweight network for multi-label image classification of kitchen waste
Heterogeneous multi-modal graph network for arterial travel time prediction
Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization
Integrating cross-graph consensus constraints for label disambiguation in multi-view partial multi-label learning
Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing
Editorial for the 30th anniversary special issue
A real-time human bone fracture detection and classification from multi-modal images using deep learning technique
Personalized paper recommendation for postgraduates using multi-semantic path fusion
Geometric algebra graph neural network for cross-domain few-shot classification
Trajectory optimization of train cooperative energy-saving operation using a safe deep reinforcement learning approach
High-Level Reasoning, Computational Challenges for Connectionism, and the Conposit Solution
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification
Model reduction of feed forward neural networks for resource-constrained devices
Advanced environmental adaptation method
Multiple graph convolutional networks for aspect-based sentiment analysis
Transformer-based reinforcement learning for optical cavity temperature control system
Detrended partial cross-correlation analysis-random matrix theory for denoising network construction
Effective local evolutionary searches distributed on an island model solving bi-objective optimization problems
Learning controlled and targeted communication with the centralized critic for the multi-agent system
PD-type iterative learning consensus control approach for an electromechanical actuator-based multiagent system
Design of an Autonomous Agricultural Robot
Feature selection using class-level regularized self-representation
Automated classification of remote sensing satellite images using deep learning based vision transformer
ICCP: A heuristic process planning method for personalized product configuration design
NP-FedKGC: a neighbor prediction-enhanced federated knowledge graph completion model
UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking
Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy
A Text-Specific Domain Adaptive Network for Scene Text Detection in the Wild
Capsule networks for computer vision applications: a comprehensive review
A structure for predicting wind speed using fuzzy granulation and optimization techniques
Niche-based Memetic algorithm with adaptive parameters for optimizing order delivery strategies in O2O platforms
A quantum-inspired sentiment representation model for twitter sentiment analysis
Q-CAR: an intelligent solution for joint QoS multicast routing and channel assignment in multichannel multiradio wireless mesh networks
Two-view point cloud registration network: feature and geometry
Hybrid transformer-CNN with boundary-awareness network for 3D medical image segmentation
Deep multi-view fuzzy k-means with weight allocation and entropy regularization
Adaptive fusion with multi-scale features for interactive image segmentation
PH-model: enhancing multi-passage machine reading comprehension with passage reranking and hierarchical information
Independent shape component-based human activity recognition via Hidden Markov Model
A hybrid feature selection and aggregation strategy-based stacking ensemble technique for network intrusion detection
An improved moth-flame optimization algorithm with orthogonal opposition-based learning and modified position updating mechanism of moths for global optimization problems
Metal artifact reduction for oral and maxillofacial computed tomography images by a generative adversarial network
Continuous build outcome prediction: an experimental evaluation and acceptance modelling
Semantic consistency knowledge transfer for unsupervised cross domain object detection
Detecting earthquakes: a novel deep learning-based approach for effective disaster response
Generalized zero-shot emotion recognition from body gestures
EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea
Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph
An optimized evacuation model with compatibility constraints in the context of disability: an ancient-inspired Giza Pyramids Construction metaheuristic approach
Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children
Reinforcement learning-based distributed appointed-time optimal trajectory tracking formation control for quadrotor UAVs
Analysing the impact of ChatGPT in research
CAST: A convolutional attention spatiotemporal network for predictive learning
An efficient strategy for using multifactorial optimization to solve the clustered shortest path tree problem
WDTtrack: tracking multiple objects with indistinguishable appearance and irregular motion
Self-paced uncertainty estimation for one-shot person re-identification
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
A novel hybrid statistical and neural network model for forecasting multivariate time series parameters in forging process
Detecting log anomaly using subword attention encoder and probabilistic feature selection
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
On entropy function and reliability indicator for D numbers
A conditioned feature reconstruction network for few-shot classification
Feature clustering based support vector machine recursive feature elimination for gene selection
Entity-driven user intent inference for knowledge graph-based recommendation
Preprocessing method for shield operational parameters adaptable to geological survey data characteristic for predicting disc cutter wear
DSFL: a blockchain-based data sharing and federated learning framework
CSViz: Class Separability Visualization for high-dimensional datasets
Enhanced discrete dragonfly algorithm for solving four-color map problems
Intelligent system to optimally trade at the interference of multiple crises
Image hashing retrieval based on generative adversarial networks
Large-scale stochastic sparse subspace representation with consensus anchor guidance
ConsilientSFL: using preferential voting system to generate combinatorial ranking metrics for spectrum-based fault localization
Recurrent auto-encoder with multi-resolution ensemble and predictive coding for multivariate time-series anomaly detection
Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm
Preference-corrected multimodal graph convolutional recommendation network
Deep learning in medical image super resolution: a review
Revision of prioritized E ℒ ontologies
Storing and querying fuzzy XML data in relational databases
Automatic search of architecture and hyperparameters of graph convolutional networks for node classification
MMTSleepNet: a multi-modal fusion network via temporal sequence for sleep staging
Bayesian network parameter learning using constraint-based data extension method
Support vector regression methodology for prediction of input displacement of adaptive compliant robotic gripper
A deep learning-based classification for topic detection of audiovisual documents
Correction to: Deep learning frameworks to learn prediction and simulation focused control system models
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
Convolutional neural networks with hybrid weights for 3D point cloud classification
Deep learning frameworks to learn prediction and simulation focused control system models
Penalized collaborative representation based classification for face recognition
An opponent-adaptive strategy to increase utility and fairness in agents' negotiation
Applications of asynchronous deep reinforcement learning based on dynamic updating weights
Optimization of the structural complexity of artificial neural network for hardware-driven neuromorphic computing application
Consensus representation-driven structured graph learning for multi-view clustering
BHRAM: a knowledge graph embedding model based on bidirectional and heterogeneous relational attention mechanism
Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation
Enhanced inverted transformer: advancing variate token encoding and blending for time series forecasting
Dynamic channel pruning via activation gates
Conflict-based negotiation strategy for human-agent negotiation
Reducing oversmoothing through informed weight initialization in graph neural networks
Semantic-alignment transformer and adversary hashing for cross-modal retrieval
Lightweight global-locally connected distillation network for single image super-resolution
A memetic algorithm for the capacitated m-ring-star problem
Transformer-variational autoencoder for estimating individual treatment effect using causal inference framework
Sentiment aware tensor model for multi-criteria recommendation
RL-ECGNet: resource-aware multi-class detection of arrhythmia through reinforcement learning
An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies
A graph convolution-based heterogeneous fusion network for multimodal sentiment analysis
Continuous image anomaly detection based on contrastive lifelong learning
Unsupervised multi-view representation learning with proximity guided representation and generalized canonical correlation analysis
Framework for identifying and visualising emotional atmosphere in online learning environments in the COVID-19 Era
Joint channel-spatial attention network for super-resolution image quality assessment
Time-series forecasting of consolidation settlement using LSTM network
A lightweight 2-D CNN model with dual attention mechanism for heartbeat classification
Dense spatially-weighted attentive residual-haze network for image dehazing
Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution
Automatic filter pruning algorithm for image classification
Simple noncooperative games with intuitionistic fuzzy information and application in ecological management
Challenging state-of-the-art move ordering with Adaptive Data Structures
A Memetic Approach to Multi-Disciplinary Design and Numerical Optimization Problems using Intensify Slime Mould Optimizer
A novel multi-task semi-supervised medical image segmentation method based on multi-branch cross pseudo supervision
A boosting approach for corporate failure prediction
Building a highly-compact and accurate associative classifier
A multi-objective assembly line balancing problem with worker's skill and qualification considerations in fuzzy environment
Transfer learning based 3D fuzzy multivariable control for an RTP system
Robust generalized canonical correlation analysis
Casting defect-detection method based on multi-image feature of fusion artificial intelligence model
Genetic algorithm for test pattern generator design - Automatic evolution of circuits
Learning Structure from Data and Its Application to Ozone Prediction
A hybrid immune genetic algorithm with tabu search for minimizing the tool switch times in CNC milling batch-processing
DoME: Dew computing based microservice execution in mobile edge using Q-learning
Editor's Note: Applied Intelligence and COVID-19 Research
Editorial for the COVID special issue
Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion
Data-driven multi-attribute decision-making by combining probability distributions based on compatibility and entropy
Emotion-cause pair extraction with bidirectional multi-label sequence tagging
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data
Improved monarch butterfly optimization for unconstrained global search and neural network training
An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers
How to use extra training data for better edge detection?
Network representation learning based on community-aware and adaptive random walk for overlapping community detection
VFL-R: a novel framework for multi-party in vertical federated learning
An offline-to-online reinforcement learning approach based on multi-action evaluation with policy extension
Hybrid metaheuristics for scheduling of machines and transport robots in job shop environment
Anomaly detection methods based on GAN: a survey
Spatio-temporal data generation based on separated attention for ENSO prediction
Model-Based Diagnosis and Conditional Logic
DEA statistical analysis and Shannon entropy-driven interval multiplicative probabilistic linguistic group decision-making
Weighted statistical binary patterns for facial feature representation
Predictive intelligence to the edge through approximate collaborative context reasoning
Guided Cluster Discovery with Markov Model
Multi-label feature selection based on manifold regularization and imbalance ratio
Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
A tree-based stacking ensemble technique with feature selection for network intrusion detection
Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools
Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition
A large-scale multiobjective evolutionary algorithm with overlapping decomposition and adaptive reference point selection
Boosting real-time recognition of hand posture and gesture for virtual mouse operations with segmentation
Accelerated multi-granularity reduction based on neighborhood rough sets
AdaDT: An adaptive decision tree for addressing local class imbalance based on multiple split criteria
DaptDiffusion: Enhancing pixel-level interactive editing with dense-UNet and Adam point update in diffusion models
Personalized e-news monitoring agent system for tracking user-interested Chinese news events
IAA-VSR: An iterative alignment algorithm for video super-resolution
Maximum margin of twin spheres machine with pinball loss for imbalanced data classification
Recognising innovative companies by using a diversified stacked generalisation method for website classification
Using the ACO algorithm for path searches in social networks
Designing heterogeneous distributed GAs by efficiently self-adapting the migration period
Agent-based execution of personalised home care treatments
Few-shot contrastive learning for image classification and its application to insulator identification
Introduction: Interactive Case-Based Reasoning
S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection
SISSOS: intervention of tabular data and its applications
Correction to: LSTM-TC: Bitcoin coin mixing detection method with a high recall
Training primal K-nearest neighbor based weighted twin support vector regression via unconstrained convex minimization
Selfish herds optimization algorithm with orthogonal design and information update for training multi-layer perceptron neural network
Extreme learning machines' ensemble selection with GRASP
A new model for discovering process trees from event logs
Match them up: visually explainable few-shot image classification
A parallel memetic algorithm with explicit management of diversity for the job shop scheduling problem
Deformable 3d shape retrieval using a spectral geometric descriptor
An approach to conversational agent design using semantic sentence similarity
A thresholdless wildfire pixel detection employing color contrast features
A double-weighted outlier detection algorithm considering the neighborhood orientation distribution of data objects
A referenceless image degradation perception method based on the underwater imaging model
The parameter extraction of the thermally annealed Schottky barrier diode using the modified artificial bee colony
Discovering top-k periodic and high-utility patterns
Using a recurrent artificial neural network for dynamic self-adaptation of cluster-based web-server systems
Feature weighting and SVM parameters optimization based on genetic algorithms for classification problems
Cross entropy of mass function and its application in similarity measure
Algorithmic generalization ability of PALM for double sparse regularized regression
Correction to: A diverse/converged individual competition algorithm for computationally expensive many-objective optimization
Editorial note of the special issue on emerging topics in artificial intelligence selected from IEA/AIE2021
Multi-level spatial and semantic enhancement network for expression recognition
Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets
Ultrarobust support vector registration
Semi-supervised adversarial discriminative domain adaptation
A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning
Variable Hidden Layer Sizing in Elman Recurrent Neuro-Evolution
Using a hybrid of fuzzy theory and neural network filter for single image dehazing
Multiple reference points-based multi-objective feature selection for multi-label learning
Attentive evolutionary generative adversarial network
Developments in Applied Artificial Intelligence: Guest Editor's Introduction
A band selection approach based on wavelet support vector machine ensemble model and membrane whale optimization algorithm for hyperspectral image
Personalized federated knowledge graph embedding with client-wise relation graph
Rough set approximations based on a matroidal structure over three sets
Decentralizing and coevolving differential evolution for large-scale global optimization problems
A hybrid algorithm for constrained portfolio selection problems
Robust multi-label feature selection with shared coupled and dynamic graph regularization
Achieving self-healing in service delivery software systems by means of case-based reasoning
Application of deep reinforcement learning to intelligent distributed humidity control system
R2GAN: Enhancing unseen image fusion with reconstruction-guided generative adversarial network
Multi-constraint distributed terminal distribution path planning for fresh agricultural products
Explicit-implicit feature modeling in drama videos: dataset and benchmark