yusuke1997/dblp-id-title huggingface dataset:
Least squares large margin distribution machine for regression
A temporal modal defeasible logic for formalizing social commitments in dialogue and argumentation models
A novel hybrid heuristic algorithm for a new uncertain mean-variance-skewness portfolio selection model with real constraints
A Multilingual Text Mining Approach Based on Self-Organizing Maps
A graph convolutional network for time series classification using recurrence plots
A robust and singular point independent fingerprint shell
LocalDGP: local degree-balanced graph partitioning for lightweight GNNs
Development of a maritime transportation planning support system for car carriers based on genetic algorithm
ST-VQA: shrinkage transformer with accurate alignment for visual question answering
Recommending content using side information
High utility pattern mining algorithm over data streams using ext-list
Domain consensual contrastive learning for few-shot universal domain adaptation
Temporal Relevance in Dynamic Decision Networks with Sparse Evidence
Improving lazy decision tree for imbalanced classification by using skew-insensitive criteria
A personalized federated learning-based fault diagnosis method for data suffering from network attacks
Correction to: Facial expression recognition sensing the complexity of testing samples
ADIMPL: a dynamic, real-time and robustness attack detection model for industrial cyber-physical systems based on improved meta pseudo labels
A novel filter feature selection algorithm based on relief
Feature selection with multi-objective genetic algorithm based on a hybrid filter and the symmetrical complementary coefficient
The classification and denoising of image noise based on deep neural networks
An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index
An algorithm based on counterfactuals for concept learning in the Semantic Web
Estimating pose from pressure data for smart beds with deep image-based pose estimators
2D-Variation convolution-based generative adversarial network for unsupervised time series anomaly detection: a MSTL enhanced data preprocessing approach
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games
Hybrid attribute based sentiment classification of online reviews for consumer intelligence
A novel mathematical formulation for solving the dynamic and discrete berth allocation problem by using the Bee Colony Optimisation algorithm
An evolving graph convolutional network for dynamic functional brain network
A classified feature representation three-way decision model for sentiment analysis
Hierarchical feature extraction based on discriminant analysis
Non-local self-similarity recurrent neural network: dataset and study
An analysis of optimal pricing strategy and inventory scheduling policy for a non-instantaneous deteriorating item in a two-layer supply chain
Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation
Robust semi non-negative low-rank graph embedding algorithm via the L21 norm
Two guidance joint network based on coarse map and edge map for camouflaged object detection
FRAnomaly: flow-based rapid anomaly detection from images
Novel metaheuristic based on multiverse theory for optimization problems in emerging systems
Quadruped robot locomotion via soft actor-critic with muti-head critic and dynamic policy gradient
Hinge attention network: A joint model for diabetic retinopathy severity grading
SSL-MOT: self-supervised learning based multi-object tracking
Tri-level attribute reduction based on neighborhood rough sets
R-CCF: region-aware continual contrastive fusion for weakly supervised object detection
Learning in context: enhancing machine learning with context-based reasoning
MIDNN- a classification approach for the EEG based motor imagery tasks using deep neural network
MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence
Unsupervised 2D dimensionality reduction by jointly learning structural and temporal correlation
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Hybrid artificial bee colony algorithm based approaches for two ring loading problems
AMMGAN: adaptive multi-scale modulation generative adversarial network for few-shot image generation
MBMR-Net: multi-branches multi-resolution cross-projection network for single image super-resolution
Lbgcn: Lightweight bilinear graph convolutional network with attention mechanism for recommendation
An improved multilevel thresholding approach based modified bacterial foraging optimization
Real-Time Dynamic Visual Tracking Using PSD Sensors and Extended Trapezoidal Motion Planning
Image captioning with adaptive incremental global context attention
Time-aware tensor factorization for temporal recommendation
A K-Farthest-Neighbor-based approach for support vector data description
SC-COO: A feedback-based service composition algorithm combining offline and online reinforcement learning
A comprehensive survey on feature selection in the various fields of machine learning
Fusion of imprecise qualitative information
Planning in highly dynamic environments: an anytime approach for planning under time constraints
Incorporating semantics, syntax and knowledge for aspect based sentiment analysis
AI-computing, deep reinforcement learning-based predictive human-robot neuromechanical simulation for wearable robots
Bayesian Maximal Information Coefficient (BMIC) to reason novel trends in large datasets
Evaluation of random forest classifier in security domain
Multi-task learning based multi-energy load prediction in integrated energy system
Learning label-specific features with global and local label correlation for multi-label classification
iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification
Dual selective knowledge transfer for few-shot classification
Comprehensive learning cuckoo search with chaos-lambda method for solving economic dispatch problems
High average-utility itemsets mining: a survey
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer
Dynamic visual simultaneous localization and mapping based on semantic segmentation module
Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement
Communication constraints multi-agent territory exploration task
GEML: a graph-enhanced pre-trained language model framework for text classification via mutual learning
Sign language recognition and translation network based on multi-view data
Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations
PutMode: prediction of uncertain trajectories in moving objects databases
Box-spoof attack against single object tracking
Black hole algorithm: A comprehensive survey
An adaptive evolutionary modular neural network with intermodule connections
TransG-net: transformer and graph neural network based multi-modal data fusion network for molecular properties prediction
Lifetime maximization of wireless sensor network using fuzzy based unequal clustering and ACO based routing hybrid protocol
RERG: Reinforced evidence reasoning with graph neural network for table-based fact verification
RDM2: a two-stage model based on residual learning diffusion model and multi-scale convolution for Low Dose CT denoising
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm
Seeking fixed-time practical consensus tracking of networked nonlinear agent systems with saturation via improved extended state observer
On mask-based image set desensitization with recognition support
Enhancing POI search on maps via online address extraction and associated information segmentation
Qualitative Spatial Reasoning Using Orientation, Distance, and Path Knowledge
Activation pattern controlled rules: Towards an integration of data-driven and command-driven programming
VARL: a variational autoencoder-based reinforcement learning Framework for vehicle routing problems
From multi-label learning to cross-domain transfer: a model-agnostic approach
Teaching-learning-based pathfinder algorithm for function and engineering optimization problems
Channel sifted model for pose estimation
Mixed noise face hallucination via adaptive weighted residual and nuclear-norm regularization
Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique
PCS-granularity weighted ensemble clustering via Co-association matrix
Dual attention-guided distillation for class incremental semantic segmentation
Multi-scale depth information fusion network for image dehazing
An interactive multi-task ESG classification method for Chinese financial texts
Research on image Inpainting algorithm of improved GAN based on two-discriminations networks
Ant colony algorithm for automotive safety integrity level allocation
Uncertainty weighted policy optimization based on Bayesian approximation
Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection
Real-time stereo matching with high accuracy via Spatial Attention-Guided Upsampling
One-class support higher order tensor machine classifier
Evolutionary Approaches to Figure-Ground Separation
Robust polynomial classifier using L 1 - norm minimization
BAM-SORT: border-guided activated matching for online multi-object tracking
Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization
Unsupervised statistical concept drift detection for behaviour abnormality detection
A comprehensive study on enhanced QR extraction techniques with deep learning-based verification
Dual heterogeneous graph contrastive learning for QoS prediction
Parallel grid-based density peak clustering of big trajectory data
A Dirichlet process biterm-based mixture model for short text stream clustering
Data stream classification with artificial endocrine system
Long-tailed graph neural networks via graph structure learning for node classification
Utilizing the advantages of both global and local search strategies for finding a small subset of features in a two-stage method
MFU-Net: a deep multimodal fusion network for breast cancer segmentation with dual-layer spectral detector CT
Mediating effects of NLP-based parameters on the readability of crowdsourced wikipedia articles
Multilayer neural network based asymptotic motion control of saturated uncertain robotic manipulators
Video super-resolution network using detail component extraction and optical flow enhancement algorithm
PA-NAS: Partial operation activation for memory-efficient architecture search
COVID-19 prediction using AI analytics for South Korea
Feature selection using a weighted method in interval-valued decision information systems
Evolving routing policies for electric vehicles by means of genetic programming
Reciprocal question representation learning network for visual dialog
Document-level paraphrase generation base on attention enhanced graph LSTM
A Fuzzy Approach to Accessing Accident Databases
Quantum mechanics-based deep learning framework considering near-zero variance data
Instructed fine-tuning based on semantic consistency constraint for deep multi-view stereo
A novel multi-objective optimization algorithm based on artificial algae for multi-objective engineering design problems
Enhancing attributed network embedding via enriched attribute representations
Human motion prediction with gated recurrent unit model of multi-dimensional input
Towards data-free gating of heterogeneous pre-trained neural networks
Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
Hierarchical symmetric cross entropy for distant supervised relation extraction
Accelerating FCM neural network classifier using graphics processing units with CUDA
Intelligent detection of edge inconsistency for mechanical workpiece by machine vision with deep learning and variable geometry model
FEMRNet: Feature-enhanced multi-scale residual network for image denoising
High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding
Structure guided network for human pose estimation
Distributed learning automata based approach to inferring urban structure via traffic flow
Concertorl: A reinforcement learning approach for finite-time single-life enhanced control and its application to direct-drive tandem-wing experiment platforms
A novel consensus reaching approach for large-scale multi-attribute emergency group decision-making under social network clustering based on graph attention mechanism
Multi-level information fusion Transformer with background filter for fine-grained image recognition
MMI-FM: Multimodal Interaction and Fusion Mechanism for Video Anomaly Detection
The charging station and swapping station site selection with many-objective evolutionary algorithm
Dynamic graph attention-guided graph clustering with entropy minimization self-supervision
Metric learning for monotonic classification: turning the space up to the limits of monotonicity
Two time-efficient gibbs sampling inference algorithms for biterm topic model
Fast online multi-target multi-camera tracking for vehicles
Image super-resolution via channel attention and spatial attention
Group-based network pruning via nonlinear relationship between convolution filters
Probabilistic active filtering with gaussian processes for occluded object search in clutter
A graph-based approach for absolute 3D hand pose estimation using a single RGB image
RPV-CASNet: range-point-voxel integration with channel self-attention network for lidar point cloud segmentation
Multi-scale GraphSAGE with class center balancing loss for rolling bearing fault diagnosis under extremely class imbalance
Talking-head video generation with long short-term contextual semantics
MulRoGA: A Multicast Routing Genetic Algorithm approach considering multiple objectives
An augmented AI-based hybrid fraud detection framework for invoicing platforms
A novel discretization algorithm based on multi-scale and information entropy
A network method to identify the dynamic changes of the data flow with spatio-temporal feature
Short term electric load forecasting using hybrid algorithm for smart cities
Generative image inpainting for link prediction
Measure information quality of basic probability assignment: An information volume method
DFF-HGNN: Dual-Feature Fusion Heterogeneous Graph Neural Network
Explainable prediction of deposited film thickness in IC fabrication with CatBoost and SHapley Additive exPlanations (SHAP) models
RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring
A two-leveled symbiotic evolutionary algorithm for clustering problems
A highly efficient ADMM-based algorithm for outlier-robust regression with Huber loss
Towards better generalization in quadrotor landing using deep reinforcement learning
Superpixel via coarse-to-fine boundary shift
Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction
A novel deep learning architecture and MINIROCKET feature extraction method for human activity recognition using ECG, PPG and inertial sensor dataset
Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition
F2RAIL: panoptic segmentation integrating Fpn and transFormer towards RAILway
Mining top-k high-utility itemsets from a data stream under sliding window model
Adaptive selection of heuristics for assigning time slots and rooms in exam timetables
Clustering technique for large-scale home care crew scheduling problems
Meta similarity
Using the absolute difference of term occurrence probabilities in binary text categorization
Unpaired multi-modal tumor segmentation with structure adaptation
Gradient optimization for object detection in learning with noisy labels
Manifold transfer and ensemble filter strategy for axial piston pump fault diagnosis under varied pressure pulsation
A parameter-free affinity based clustering
Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection
An adaptive super-peer selection algorithm considering peers capacity utilizing asynchronous dynamic cellular learning automata
Augmented low-rank methods for gaussian process regression
Improving crowdsourced label quality by peer-to-peer federated learning
Novel competitive-cooperative learning models (cclms) based on higher order information sets
Double fuzzy relaxation local information C-Means clustering
Multivariate microaggregation by iterative optimization
Level-2 node clustering coefficient-based link prediction
Geometric modeling: Background for processing the 3d objects
A variant of environmental adaptation method with real parameter encoding and its application in economic load dispatch problem
Drug-target interaction prediction via an ensemble of weighted nearest neighbors with interaction recovery
Fuzzy C-Means Clustering and Particle Swarm Optimization based scheme for Common Service Center location allocation
Regularized label relaxation-based stacked autoencoder for zero-shot learning
Making recommendations by integrating information from multiple social networks
Accurate and fast time series classification based on compressed random Shapelet Forest
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Recurrent neural network system using probability graph model optimization
Large-scale group decision-making (LSGDM) for performance measurement of healthcare construction projects: Ordinal Priority Approach
Closed-loop feedback registration for consecutive images of moving flexible targets
Metric transfer learning via geometric knowledge embedding
DeepCF-PPI: improved prediction of protein-protein interactions by combining learned and handcrafted features based on attention mechanisms
A dynamic traffic flow prediction method based on spatio-temporal graph transformer
Correction to: Novel ensemble bagging-logistic regression algorithm for NoSQL database security
Automated market maker inventory management with deep reinforcement learning
Multilinear subspace learning using handcrafted and deep features for face kinship verification in the wild
Simulated annealing based undersampling (SAUS): a hybrid multi-objective optimization method to tackle class imbalance
A new method for feature selection based on intelligent water drops
Hierarchical correlation siamese network for real-time object tracking
On the solution of the graph bandwidth problem by means of search methods
Decision and feature level fusion of deep features extracted from public COVID-19 data-sets
Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems
Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods
PDDNet: lightweight congested crowd counting via pyramid depth-wise dilated convolution
EMERALD-O: efficient multi-agent reinforcement learning framework for optimised deep learning hyperparameter tuning and selection
Deep-SEA: a deep learning based patient specific multi-modality post-cancer survival estimation architecture
A neural network model for estimating option prices
Single image deraining via deep pyramid network with spatial contextual information aggregation
Reversible data hiding of color image based on channel unity embedding
Dynamic dual mining framework for long-tailed out-of-distribution detection
Optimized traffic signal control system incorporating mixed traffic flow and adverse weather
Total generalized variational-liked network for image denoising
Kernelized multi-view subspace clustering via auto-weighted graph learning
Using extended siamese networks to provide decision support in aquaculture operations
A blast furnace coke ratio prediction model based on fuzzy cluster and grid search optimized support vector regression
DA-NGF: A Domain-Adaptive Neurogenerative Framework for Few-Shot Railway Fastener Defect Synthesis and Transferable Representation Learning
A new distance between BPAs based on the power-set-distribution pignistic probability function
A period-extracted multi-featured dynamic graph convolution network for traffic demand prediction
Learning multi-view deep and shallow features through new discriminative subspace for bi-subject and tri-subject kinship verification
Dual-graph with non-convex sparse regularization for multi-label feature selection
Self-adaptive data-driven evolutionary algorithm based on random forest feature selection and incremental Gaussian process regression on personalized antidepressant medication research
Multiview image generation for vehicle reidentification
Reminding the incremental language model via data-free self-distillation
Skip-connection convolutional neural network for still image crowd counting
Locality sensitive hashing with bit selection
Semi-supervised prototype network with domain adversarial for few-shot fault diagnosis
MMNet: Multi-modal multi-stage network for RGB-T image semantic segmentation
Local linear embedding based interpolation neural network in pancreatic tumor segmentation
Exploring misclassifications of robust neural networks to enhance adversarial attacks
Asynchronous action-reward learning for nonstationary serial supply chain inventory control
Constructing Information Bases Using Associative Structures
PAC-Bayesian offline Meta-reinforcement learning
Neural network input feature selection using structured l 2 - norm penalization
Predicting user's preferences using neural networks and psychology models
A bibliometric analysis and basic model introduction of opinion dynamics
FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection
A relation aware embedding mechanism for relation extraction
An intelligent agent model with awareness of workflow progress
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble
Multi-scale fractal residual network for image super-resolution
Robust stereo inertial odometry based on self-supervised feature points
Hybrid density-based adaptive weighted collaborative representation for imbalanced learning
TADST: reconstruction with spatio-temporal feature fusion for deviation-based time series anomaly detection
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
Hierarchical Triple-Level Alignment for Multiple Source and Target Domain Adaptation
CoocNet: a novel approach to multi-label text classification with improved label co-occurrence modeling
Three-way enhanced part-aware network for fine-grained sketch-based image retrieval
GANMem-Siamese: GAN-enhanced deep feature generation for robust object tracking with memory fusion
EDEN: An Intelligent Software Environment for Diagnosis of Discrete-Event Systems
PC 2 PSO: personalized e-course composition based on Particle Swarm Optimization
A novel multi-view contrastive learning for herb recommendation
QR decomposition based low rank approximation for Gaussian process regression
A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process
Generalized eigenvalue extreme learning machine for classification
Scalable multi-agent learning algorithms to determine winners in combinatorial double auctions
A derived least square fast learning network model
Stock index prediction based on multi-time scale learning with multi-graph attention networks
Computational Properties of Two Exact Algorithms for Bayesian Networks
Linear programming-based solution methods for constrained partially observable Markov decision processes
Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization