yusuke1997/dblp-id-title huggingface dataset:
Selective ensemble based on extreme learning machine and improved discrete artificial fish swarm algorithm for haze forecast
Particle filtering-based methods for time to failure estimation with a real-world prognostic application
Data driven covid-19 spread prediction based on mobility and mask mandate information
TranGRU: focusing on both the local and global information of molecules for molecular property prediction
A novel data enhancement approach to DAG learning with small data samples
An efficient method for tracking failure detection using parallel correlation filtering and Siamese network
A novel ant colony optimization based on game for traveling salesman problem
Time optimal trajectory planning of robotic arm based on improved sand cat swarm optimization algorithm
Detail-semantic guide network based on spatial attention for surface defect detection with fewer samples
A new multi-feature fusion based convolutional neural network for facial expression recognition
Tree-based localized fuzzy twin support vector clustering with square loss function
Attribute reduction approaches under interval-valued q-rung orthopair fuzzy soft framework
Semantic-guided multi-scale human skeleton action recognition
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
A GA based method for search-space reduction of chess game-tree
On the Interpretation of Fuzzy If Then Rules
Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition
Vector Based Genetic Algorithm to optimize predictive analysis in network security
CLR-based deep convolutional spiking neural network with validation based stopping for time series classification
A novel estimator based learning automata algorithm
Learning coordinated emotion representation between voice and face
DWMGrad: an innovative neural network optimization approach using dynamic window data for adaptive updating of momentum and learning rate
Deformable graph convolutional transformer for skeleton-based action recognition
Knowledge visualization: A new framework for interactive graphic interface design
Planning and Control in Artificial Intelligence: A Unifying Perspective
RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation
Optical character recognition in real environments using neural networks and k-nearest neighbor
Evolving cooperative bidding strategies in a power market
Towards Creative Evolutionary Systems with Interactive Genetic Algorithm
Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm
A Genetic Algorithm for Multiobjective Robust Design
Accelerated max-margin multiple kernel learning
Detection of advanced persistent threats using hashing and graph-based learning on streaming data
Retraction Note: A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions
Memetic quantum optimization algorithm with levy flight for high dimension function optimization
CDEPSO: a bi-population hybrid approach for dynamic optimization problems
Controllable image caption with an encoder-decoder optimization structure
Joint data augmentation and knowledge distillation for few-shot continual relation extraction
A Q-learning approach to attribute reduction
A hybrid training algorithm based on gradient descent and evolutionary computation
Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning
Neural Networks and Structured Knowledge: Rule Extraction and Applications
TV-ALP: A log dataset of television assembly line production under multi-person collaboration for process mining research
Chameleon algorithm based on mutual k-nearest neighbors
Soft computing-based approaches to predict energy consumption and stability margin of six-legged robots moving on gradient terrains
A survey of group decision making methods in Healthcare Industry 4.0: bibliometrics, applications, and directions
Solving feature selection problems by combining mutation and crossover operations with the monarch butterfly optimization algorithm
Loop closure detection based on image feature matching and motion trajectory similarity for mobile robot
Frequent episode mining within the latest time windows over event streams
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities
Teleoperation to robotics at Langley Research Center
SRENet: Structure recovery ensemble network for single image deraining
Performance-based active learning (PbAL) for imbalanced data with nonparametric logistic regression
BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples
On-board autonomy operations for OPS-SAT experiment
Predictive intelligence of reliable analytics in distributed computing environments
Active instance selection via parametric equation and instance overlap aware scheme
DAS-GNN: Denoising autoencoder integrated with self-supervised learning in graph neural network-based recommendations
A reasoning enhance network for muti-relation question answering
How to add new knowledge to already trained deep learning models applied to semantic localization
Implicit regularization of a deep augmented neural network model for human motion prediction
Precipitation nowcasting with generative diffusion models
Dual-decoupling inter-correction multitemporal framework for high-, medium-, and low-resolution optical remote sensing image reconstruction
Telling fortunes? Evaluation of traffic forecasting models using traffic and context features
An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS
Emoji use in China: popularity patterns and changes due to COVID-19
K-means properties on six clustering benchmark datasets
An effective distance based feature selection approach for imbalanced data
Advances in SHRUTI-A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony
Anomaly localization in regular textures based on deep convolutional generative adversarial networks
TSF-transformer: a time series forecasting model for exhaust gas emission using transformer
Towards identification and explainable localization of slopes in autonomous excavation: a feature fused CAM approach
Defocus Blur detection via transformer encoder and edge guidance
Comparing Simple Recurrent Networks and n-Grams in a Large Corpus
A two-stage group stochastic preference analysis based on best-worst method
Effective selection of public IoT services by learning uncertain environmental factors using fingerprint attention
QSIM: A novel approach to node proximity estimation based on Discrete-time quantum walk
An echo state network with adaptive improved pigeon-inspired optimization for time series prediction
Feature selection for label distribution learning using Dempster-Shafer evidence theory
A robust and anti-forgettiable model for class-incremental learning
Automatic Extraction of Eye and Mouth Fields from a Face Image Using Eigenfeatures and Ensemble Networks
Evolutionary echo state network for long-term time series prediction: on the edge of chaos
Fast exact feature based data correspondence search with an efficient bit-parallel MCP solver
A new method for image segmentation based on BP neural network and gravitational search algorithm enhanced by cat chaotic mapping
Multi-objective traveling salesman problem: an ABC approach
Global fusion of multiple order relations and hesitant fuzzy decision analysis
Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs
A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data
Incremental community miner for dynamic networks
Am empirical analysis of optimization techniques for terminological representation systems
CVAM: continuous-valued associative memory for one-to-many associations
Design of fuzzy hyperbox classifiers based on a two-stage genetic algorithm and simultaneous strategy
Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems
Switching-aware multi-agent deep reinforcement learning for target interception
Improving awareness in early stages of security analysis: A zone partition method based on GrC
Space or time for video classification transformers
HFedCWA: heterogeneous federated learning algorithm based on contribution-weighted aggregation
MSF-SegFormer: a feature fusion algorithm for magnetic leakage image segmentation
A clustering algorithm based on density decreased chain for data with arbitrary shapes and densities
Proposal and comparative analysis of a voting-based election algorithm for managing service replication in MANETs
Dynamic anchor-based tensor learning for incomplete multi-view clustering
Classification of atherosclerotic carotid plaques using morphological analysis on ultrasound images
Multimodal biometric recognition with cancelable template protection using deep learning and an optimized bloom filter
Towards unobtrusive detection and realistic attribute analysis of daily activity sequences using a finger-worn device
Knowledge base refinement: A bibliography
Dynamic interactive weighted feature selection using fuzzy interaction information
Transfer Subspace Learning based on Double Relaxed Regression for Image Classification
Optimal deep learning control for modernized microgrids
Hierarchical contrastive representation for zero shot learning
Exploring the potential of federated learning in mental health research: a systematic literature review
Research progress of zero-shot learning
TSHDNet: temporal-spatial heterogeneity decoupling network for multi-mode traffic flow prediction
An improved recurrent neural networks for 3d object reconstruction
Incorporating Ancestors' Influence in Genetic Algorithms
Prevention method of block withholding attack based on miners' mining behavior in blockchain
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
CS-BTM: a semantics-based hot topic detection method for social network
Siamese network with transformer and saliency encoder for object tracking
An adaptive evolutionary algorithm with intelligent mutation local searchers for designing multidrug therapies for HIV
A hybrid particle swarm optimization with a variable neighborhood search for the localization enhancement in wireless sensor networks
Cross-domain Fisher Discrimination Criterion: A Domain Adaptive Method Based on the Nature of Classifier
Multi-hop question answering over incomplete knowledge graph with abstract conceptual evidence
Self-regulated differential evolution for real parameter optimization
Automatic coronary artery segmentation algorithm based on deep learning and digital image processing
Teach machine to learn: hand-drawn multi-symbol sketch recognition in one-shot
A flexible and lightweight deep learning weather forecasting model
Feature selection for fault detection systems: application to the Tennessee Eastman process
SC2Net: Scale-aware Crowd Counting Network with Pyramid Dilated Convolution
Energy efficient teaching-learning-based optimization for the discrete routing problem in wireless sensor networks
Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests
DAAR: Dual attention cooperative adaptive pruning rate by data-driven for filter pruning
Learning local instance correlations for multi-target regression
A novel dynamic graph evolution network for salient object detection
Index Navigator: Search Engine with Reasoning for Understanding and Expressing User's Changing Mind
Meta joint optimization: a holistic framework for noisy-labeled visual recognition
Real-time dynamic path planning for distributed unmanned surface vehicles in coordinated formations with maneuverability constraints
Temporal knowledge subgraph inference based on time-aware relation representation
Information Extraction from the Web: System and Techniques
Automated accurate insomnia detection system using wavelet scattering method using ECG signals
Graph analysis using a GPU-based parallel algorithm: quantum clustering
Modified differential evolution algorithm using a new diversity maintenance strategy for multi-objective optimization problems
DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion
Deep reinforcement learning for dynamic strategy interchange in financial markets
Personalized Course Navigation Based on Grey Relational Analysis
A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bank
Explanation Over Inference Hierarchies in Active Mediation Applications
A unified architecture for agent behaviors with selection of evolved neural network modules
Retraction Note: A new humanitarian relief logistic network for multi-objective optimization under stochastic programming
Robust semi-supervised clustering via data transductive warping
Context augmentation for object detection
Mining top-k frequent patterns with combination reducing techniques
Deep multi-scale multi-head attention network for aero-engine remaining useful life prediction
Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting
MmLwThV framework: A masked face periocular recognition system using thermo-visible fusion
Adaptive multimodal prompt for human-object interaction with local feature enhanced transformer
SmartRAN: Smart Routing Attention Network for multimodal sentiment analysis
HWPSO: A new hybrid whale-particle swarm optimization algorithm and its application in electronic design optimization problems
Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data
Multi-source fast transfer learning algorithm based on support vector machine
A self-attention multisource precipitation fusion model for improving long-sequence precipitation estimation accuracy
Resource and activity clustering based on a hierarchical cell formation algorithm
GAMA: Graph Attention Multi-agent reinforcement learning algorithm for cooperation
IBPNet: a multi-resolution and multi-modal image fusion network via iterative back-projection
A semi-supervised transferable LSTM with feature evaluation for fault diagnosis of rotating machinery
A review of cooperative multi-agent deep reinforcement learning
Scalable aggregation predictive analytics - A query-driven machine learning approach
Gene selection of non-small cell lung cancer data for adjuvant chemotherapy decision using cell separation algorithm
Research on improved wavelet convolutional wavelet neural networks
Bio-inspired robot swarm path formation with local sensor scope
Unsupervised image-to-image translation with multiscale attention generative adversarial network
IACFormer: a transformer framework with instantaneous average convolution for temporal action detection
Multi-attribute prediction decision-making method based on rough fuzzy sets of causal analysis
Optimal electricity distribution of 'three innovations' manufacturing enterprises under China's peak carbon strategy
Incremental Feature Selection
Reaching consensus in group decision making with non-reciprocal pairwise comparison matrices
Anomaly detection via a combination model in time series data
Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods
MC-Net: multi-scale context-attention network for medical CT image segmentation
A new cognitive filtering approach based on Freeman K3 Neural Networks
Automated machine learning with dynamic ensemble selection
A novel general-purpose hybrid model for time series forecasting
A novel framework based on wavelet transform and principal component for face recognition under varying illumination
ISFNN: an enhanced neural network for parametric modeling of passive devices with input skip-connections
Multi-objective genetic algorithm based on the fuzzy MULTIMOORA method for solving the cardinality constrained portfolio optimization
Reinforcement learning-based denoising network for sequential recommendation
A fast coarse-to-fine point cloud registration based on optical flow for autonomous vehicles
Multi-scale feature extraction and gradient attention-based method for sketch extraction of painted cultural relics
E-ENDPP: a safe feature selection rule for speeding up Elastic Net
Multimodal collaborative graph for image recommendation
Deep learning models for perception of brightness related illusions
Design of a bi-level PSO based modular neural network for multi-step time series prediction
Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos
RESEDA: A knowledge-based advisory system for remote sensing
GenDetect-GAN: generative adversarial network model for machine-generated text detection
Combining pre-retrieval query quality predictors using genetic programming
Low-rank and sparse matrix factorization with prior relations for recommender systems
Detecting camouflaged objects via cross-level context supplement
Acquisition and validation of complex object database schemata supporting multiple inheritance
FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms
Few-shot intelligent fault diagnosis based on an improved meta-relation network
A novel water pollution detection method based on acoustic signals and long short-term neural network
Multi-modal medical image fusion based on equilibrium optimizer algorithm and local energy functions
Medical image security and authenticity via dual encryption
Fair-satisfied-based group decision making with prospect theory under DHLTS: The application in enterprise human resource allocation
A Reusable Multi-Agent Architecture for Active Intelligent Websites
SwinEFT: a robust and powerful Swin Transformer based Event Frame Tracker
MultiHop attention for knowledge diagnosis of mathematics examination
DMDMN: distraction mining and dual mutual network for curvilinear structure segmentation
Extracting relations of crime rates through fuzzy association rules mining
DiffGen: a data-driven framework for generating truncated differentials
Dynamic sparse coding for sparse time-series modeling via first-order smooth optimization
An autonomous navigation approach for unmanned vehicle in off-road environment with self-supervised traversal cost prediction
Least square support vector data description for HRRP-based radar target recognition
Discrete cosine transform for filter pruning
HLC: hierarchically-aware label correlation for hierarchical text classification
Estimating the fundamental matrix based on the end-to-end convolutional network
Twin maximum entropy discriminations for classification
Combining Intelligent Techniques for Sensor Fusion
A novel embedded cross framework for high-resolution salient object detection
Deep manifold matrix factorization autoencoder using global connectivity for link prediction
Bayesian model construction based on data-experts oriented approaches for assessing the phosphate effluents effects
Canonical mean filter for almost zero-shot multi-task classification
Insights into Bitcoin and energy nexus. A Bitcoin price prediction in bull and bear markets using a complex meta model and SQL analytical functions
A swin-transformer-based network with inductive bias ability for medical image segmentation
A novel criterion to select hidden neuron numbers in improved back propagation networks for wind speed forecasting
Efficient mining of high-speed uncertain data streams
Speech translation system for english to dravidian languages
A temporal and channel-combined attention block for action segmentation
Adaptive and Dynamic Ant Colony Search Algorithm for Optimal Distribution Systems Reinforcement Strategy
On the application of fuzzy-based flow control approach to High Altitude Platform communications
Speech synthesis with face embeddings
Learning the structure of multivariate regression chain graphs by testing complete separators in prime blocks
Community detection in multiplex networks by deep structure-preserving non-negative matrix factorization
TP: tensor product layer to compress the neural network in deep learning
Semi-supervised Bayesian ARTMAP
Small traffic sign detection from large image
MS-DCSNet: Global-local feature interaction and multi-scale dynamic channel shuffle attention for medical image segmentation
Applying matrix factorization to consistency-based direct diagnosis
Ba-PSO: A Balanced PSO to solve multi-objective grid scheduling problem
A novel approach for improving quality of health state with difference degree in circuit diagnosis
Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM
Type-2 fuzzy ontology-based opinion mining and information extraction: A proposal to automate the hotel reservation system
OBM-CNN: a new double-stream convolutional neural network for shield pattern segmentation in ancient oracle bones
A novel HTN planning approach for handling disruption during plan execution
HUC-Prune: an efficient candidate pruning technique to mine high utility patterns
Termset weighting by adapting term weighting schemes to utilize cardinality statistics for binary text categorization
Multi-resolution gray-level image enhancement using particle swarm optimization
TGAS-ReID: Efficient architecture search for person re-identification via greedy decisions with topological order
Multi-objective optimization of the mixed-flow intelligent production line for automotive MEMS pressure sensors
Change-aware community detection approach for dynamic social networks
Enhancing data analysis: uncertainty-resistance method for handling incomplete data
Dynamic bicycle scheduling problem based on short-term demand prediction
Densely connected convolutional networks-based COVID-19 screening model
DAS-Net: A lung nodule segmentation method based on adaptive dual-branch attention and shadow mapping
An ensemble algorithm integrating consensus-clustering with feature weighting based ranking and probabilistic fuzzy logic-multilayer perceptron classifier for diagnosis and staging of breast cancer using heterogeneous datasets
Adversarial robustness via noise injection in smoothed models
A knowledge-based approach to the local area network design problem
MKPM: Multi keyword-pair matching for natural language sentences
Co-clustering over multiple dynamic data streams based on non-negative matrix factorization
A neural network with reject option approach for equalization and error detection
Consensus enhancement for multi-agent systems with rotating-segmentation perception
Hierarchical history based information selection for document grounded dialogue generation
Using Meta-Learning to predict student performance in virtual learning environments
Automated case creation and management for diagnostic CBR systems
2D3D-MVPNet: Learning cross-domain feature descriptors for 2D-3D matching based on multi-view projections of point clouds
A dynamic multiobjective evolutionary algorithm based on fine prediction strategy and nondominated solutions-guided evolution
Collaborative filtering recommendation algorithm integrating time windows and rating predictions
The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach
Sparse portfolio selection with uncertain probability distribution
Learning relational structures: Applications in computer vision
Physics informed neural network for dynamic stress prediction
A spatiotemporal fusion method based on interpretable deep networks
Focal weighting strategy with multi-label multi-scale granularity-aware for out-of-distribution detection
Non-destructive evaluation of material hardness using micromagnetic sensors and complex neural networks
Sparse inverse covariance learning of conditional Gaussian mixtures for multiple-output regression
Probabilistic spatio-temporal graph convolutional network for traffic forecasting
GLANet: temporal knowledge graph completion based on global and local information-aware network