yusuke1997/dblp-id-title huggingface dataset:
Improved one-class classification using filled function
Toward jointly understanding social relationships and characters from videos
A survey for user behavior analysis based on machine learning techniques: current models and applications
Balanced Loss Function for Long-tailed Semi-supervised Ship Detection
Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI
Beyond missing: weakly-supervised multi-label learning with incomplete and noisy labels
Bellman residuals minimization using online support vector machines
Intelligent identification for vertical track irregularity based on multi-level evidential reasoning rule model
A similarity model based on reinforcement local maximum connected same destination structure oriented to disordered fusion of knowledge graphs
Self-Supervison with data-augmentation improves few-shot learning
A new correlation coefficient of mass function in evidence theory and its application in fault diagnosis
RRQA: reconfirmed reader for open-domain question answering
Knowledge-aware recommendation based on hypergraph representation learning and transformer model optimization
A method based on Graph Theory and Three Way Decisions to evaluate critical regions in epidemic diffusion
StealthMask: Highly stealthy adversarial attack on face recognition system
Transformer++: a long sequence modeling method based on direction-aware dual attention and multi-head sampling
STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos
Multiple delay-dependent noise-to-state stability for a class of uncertain switched random nonlinear systems with intermittent sensor and actuator faults
Concept drift detection and localization framework based on behavior replacement
Generalized quantum evidence theory
Deep reinforcement learning with graph attention mechanism for vehicle routing problem with time windows
Composite Gaussian processes flows for learning discontinuous multimodal policies
Correction to: The AI4Citizen pilot: Pipelining AI-based technologies to support school-work alternation programmes
Query relaxation of fuzzy spatiotemporal RDF data
Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
Hybrid multi-output regression with residual correction for smart agriculture: a scalable and interpretable approach
Detection of human lower limb mechanical axis key points and its application on patella misalignment detection
FeSTGCN: A frequency-enhanced spatio-temporal graph convolutional network for traffic flow prediction under adaptive signal timing
Feature selection and hyper parameters optimization for short-term wind power forecast
Deep learning and control algorithms of direct perception for autonomous driving
A probabilistic linguistic TODIM method considering cumulative probability-based Hellinger distance and its application in waste mobile phone recycling
Measures of uncertainty for partially labeled categorical data based on an indiscernibility relation: an application in semi-supervised attribute reduction
Modeling polypharmacy effects with heterogeneous signed graph convolutional networks
Formalizing Calendars with the Category of Ordinals
An improved MOEA/D design for many-objective optimization problems
Speaky for robots: the development of vocal interfaces for robotic applications
Satisfying user preferences in optimised ridesharing services
DSHMP-IOT: A distributed self healing movement prediction scheme for internet of things applications
WAE-TLDN: self-supervised fusion for multimodal medical images via a weighted autoencoder and a tensor low-rank decomposition network
DeepFake detection algorithm based on improved vision transformer
Pursuit-evasion game with online planning using deep reinforcement learning
Dynamic reference vectors and biased crossover use for inverse model based evolutionary multi-objective optimization with irregular Pareto fronts
Infrared and visible image fusion based on VPDE model and VGG network
Latent semantic-enhanced discrete hashing for cross-modal retrieval
Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines
Online algorithm configuration for differential evolution algorithm
Offline reinforcement learning with anderson acceleration for robotic tasks
Reason more like human: Incorporating meta information into hierarchical reinforcement learning for knowledge graph reasoning
A multi-scale gated network for retinal hemorrhage detection
Omni-scale feature learning for lightweight image dehazing
GRUDMU-DSCNN: An edge computing method for fault diagnosis with missing data
Object matching between visible and infrared images using a Siamese network
An efficient algorithm for solving nonograms
Problem Solving with a Perpetual Evolutionary Learning Architecture
Hardware implementation methods in Random Vector Functional-Link Networks
Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry
The Supervised Network Self-Organizing Map for Classification of Large Data Sets
Advanced linguistic intuitionistic fuzzy Maclaurin symmetric means for MAGDM
AlineaGA - a genetic algorithm with local search optimization for multiple sequence alignment
Experiences with planning techniques for assisting software design activities
An effective synchronization clustering algorithm
An efficient fast algorithm for discovering closed+ high utility itemsets
DeepMECagent: multi-agent computing resource allocation for UAV-assisted mobile edge computing in distributed IoT system
Chaotic opposition-based plant propagation algorithm for engineering problem
Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
Leveraging mixed distribution of multi-head attention for sequential recommendation
Spatiotemporal smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition
Efficient channel expansion and pyramid depthwise-pointwise-depthwise neural networks
Erratum to: Natural language scripting within conversational agent design
Dynamic distributed lanes: motion planning for multiple autonomous vehicles
Taxonomy-based information content and wordnet-wiktionary-wikipedia glosses for semantic relatedness
Gated residual feature attention network for real-time Dehazing
Joint rescaled asymmetric least squared nonparallel support vector machine with a stochastic quasi-Newton based algorithm
An approach of classifiers fusion based on hierarchical modifications
Associating absent frequent itemsets with infrequent items to identify abnormal transactions
Spatiotemporal prediction in three-dimensional space by separating information interactions
Multi-view improved sequence behavior with adaptive multi-task learning in ranking
Style-Content progressive aggregation network with stable diffusion
ELECTRE-II method for group decision-making in Pythagorean fuzzy environment
Enhancing real-time and day-ahead load forecasting accuracy with deep learning and weighed ensemble approach
An efficient and scalable approach for mining subgraphs in a single large graph
Precision route planning method based on UAV remote sensing and genetic algorithm for weeding machine
NetDAP: (δ, γ) -approximate pattern matching with length constraints
Adversarial perturbation denoising utilizing common characteristics in deep feature space
A least squares twin support vector machine method with uncertain data
MGSNet: A multi-scale and gated spatial attention network for crowd counting
Rapid building detection using machine learning
Data-driven physical law learning model for chaotic robot dynamics prediction
A weighted-link graph neural network for lung cancer knowledge classification
Correction to: Where do university graduates live? - a computer vision approach using satellite images
SMoTeF: Smurf money laundering detection using temporal order and flow analysis
A novel approach to attribute reduction and rule acquisition of formal decision context
Dynamic analysis of the Qing dynasty's imperial examination system based on natural language processing
Ego-network probabilistic graphical model for discovering on-line communities
Multi-3D pose tracking based on multi-view fusion feature correlation
Contrastive prototype loss based discriminative feature network for few-shot learning
An improved label propagation algorithm based on community core node and label importance for community detection in sparse network
Behavior sessions and time-aware for multi-target sequential recommendation
Incomplete multi-view clustering based on enhanced view-feature learning and balanced consensus principle
An open-set image classification algorithm based on hardness-aware angular margin loss and label noise filtering
Designing an interval type-2 fuzzy disturbance observer for a class of nonlinear systems based on modified particle swarm optimization
A robust correlation coefficient measure of complex intuitionistic fuzzy sets and their applications in decision-making
Multi-Instance Learning Based Web Mining
Surrogate gradient scaling for directly training spiking neural networks
Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis
Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction
Multi-aspect heterogeneous information network for MOOC knowledge concept recommendation
A personalized consensus-reaching method for large-group decision-making in social networks combining self-confidence and trust relationships
Retraction Note: Feature selection techniques in the context of big data: taxonomy and analysis
Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning
Semantic schema modeling for genetic programming using clustering of building blocks
Learning Translation Templates from Bilingual Translation Examples
Multisensor Integration for Underwater Scene Classification
Unlabeled PCA-shuffling initialization for convolutional neural networks
Subtler mixed attention network on fine-grained image classification
Embedding temporal networks inductively via mining neighborhood and community influences
ReNDCF: Relation network with dual-channel feature fusion for few-shot learning
Pre-trained non-intrusive load monitoring model for recognizing activity of daily living
Context-adaptable radar-based people counting via few-shot learning
Optimal dynamic decision network model for scientific inquiry learning environment
Evolutionary dataset optimisation: learning algorithm quality through evolution
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
High-capacity data hiding in encrypted images based on compressive sensing and intra-block difference coding
Deep learning for prediction of energy consumption: an applied use case in an office building
ETBRec: a novel recommendation algorithm combining the double influence of trust relationship and expert users
Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation
Recurrent convolutional model based on gated spiking neural P system for stereo matching networks
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers
Few-shot short-text classification with language representations and centroid similarity
Detection method for improving shape perception of small object defects on metal surfaces
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
DDABNet: a dense Do-conv residual network with multisupervision and mixed attention for image deblurring
Evolutionary response surfaces for classification: an interpretable model
Multi-target vehicle detection based on corner pooling with attention mechanism
Detection of ethereum smart contract vulnerabilities using weighted control flow graphs
Transfer learning from synthetic labels for histopathological images classification
TransMambaCC: Integrating Transformer and Pyramid Mamba Network for RGB-T Crowd Counting
Experimental analysis of similarity measurements for multivariate time series and its application to the stock market
GSA-DLA34: a novel anchor-free method for human-vehicle detection
Tri-stream network with dynamically weighted three-way decision for cloth-changing person re-identification
Robust variable structure discovery based on tilted empirical risk minimization
IPAttack: imperceptible adversarial patch to attack object detectors
Question difficulty estimation via enhanced directional modality association transformer
A hybrid robust system considering outliers for electric load series forecasting
RXNet: cross-modality person re-identification based on a dual-branch network
Elective future: The influence factor mining of students' graduation development based on hierarchical attention neural network model with graph
Efficient mining of high utility pattern with considering of rarity and length
OmiQnet: Multiscale feature aggregation convolutional neural network for omnidirectional image assessment
Fast multi-view twin hypersphere support vector machine with consensus and complementary principles
Timed failure propagation graph construction with supremal language guided Tree-LSTM and its application to interpretable fault diagnosis
Parallel proportional fusion of a spiking quantum neural network for optimizing image classification
An efficient algorithm for mining frequent weighted itemsets using interval word segments
An evolutionary framework for automatic security guards deployment in large public spaces
PSO-based unified framework for unsupervised domain adaptation in image classification
HEFANet: hierarchical efficient fusion and aggregation segmentation network for enhanced rgb-thermal urban scene parsing
A time series retrieval tool for sub-series matching
Efficient method for updating class association rules in dynamic datasets with record deletion
Red tides prediction system using fuzzy reasoning and the ensemble method
Hybrid imputation-based optimal evidential classification for missing data
Analysis and implementation of no-equilibrium chaotic system with application in image encryption
Searching a lightweight network architecture for thermal infrared pedestrian tracking
MR-OVnTSA: a heuristics based sensitive pattern hiding approach for big data
A self-organizing fuzzy neural network modeling approach using an adaptive quantum particle swarm optimization
Utilizing theory of mind for action selection applied in the domain of fighter pilot training
Improved DAB-DETR model for irregular traffic obstacles detection in vision based driving environment perception scenario
Adaptively weighted decomposition based multi-objective evolutionary algorithm
A TOPSIS method based on sequential three-way decision
Saliency prediction on omnidirectional images with attention-aware feature fusion network
Self-distribution binary neural networks
Causal explanation for reinforcement learning: quantifying state and temporal importance
Maximum a posteriori estimation and filtering algorithm for numerical label noise
Study on hybrid PS-ACO algorithm
Multi-label feature selection for missing labels by granular-ball based mutual information
Regression applied to symbolic interval-spatial data
Modified particle swarm optimization for BMDS interceptor resource planning
Improving aspect term extraction via span-level tag data augmentation
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling
Multimodal variational contrastive learning for few-shot classification
Special issue on applied intelligent information systems
Variable neighborhood search for a planning problem with resource constraints in a health simulation center
An angle based constrained many-objective evolutionary algorithm
An adaptive enhancement method for low illumination color images
Multi-view human point cloud registration method with overlapping regions semantic constraints and feature weighting
Model-based reasoning using answer set programming
Semi-parametric optimization for missing data imputation
Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease
RFAN: Relation-fused multi-head attention network for knowledge graph enhanced recommendation
An enhanced siamese angular softmax network with dual joint-attention for person re-identification
Automatic pruning rate adjustment for dynamic token reduction in vision transformer
Multistage decomposition transformer network for predicting complex long time series of heavy oil parameters
A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture
Deep reinforcement learning for fault-tolerant workflow scheduling in cloud environment
Real-time trajectory prediction of a ping-pong ball using a GRU-TAE
IOSUDA: an unsupervised domain adaptation with input and output space alignment for joint optic disc and cup segmentation
Estate price prediction system based on temporal and spatial features and lightweight deep learning model
An improved black widow optimization algorithm for surfaces conversion
Electricity theft detection in unbalanced sample distribution: a novel approach including a mechanism of sample augmentation
BSAN: bilateral synergistic aggregation network for aspect-based sentiment analysis
Smooth twin bounded support vector machine with pinball loss
Multiview diffusion-based affinity graph learning with good neighbourhoods for salient object detection
Temporally extended goal recognition in fully observable non-deterministic domain models
A time series classification method combining graph embedding and the bag-of-patterns algorithm
Bayes-adaptive hierarchical MDPs
Multipopulation-based multi-tasking evolutionary algorithm
A general variation-driven network for medical image synthesis
Real-time people localization and tracking through fixed stereo vision
Self-supervised motion forecasting with local information interaction in autonomous driving
Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation
A meta-heuristic approach to estimate and explain classifier uncertainty
Personalized location recommendation using mobile phone usage information
Adversarial example detection based on saliency map features
Social decision-making in a large-scale MultiAgent system considering the influence of empathy
Applying 1-norm SVM with squared loss to gene selection for cancer classification
Group-pair deep feature learning for multi-view 3d model retrieval
MFC-Net: Multi-scale fusion coding network for Image Deblurring
Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure
An AI approach for wastewater treatment systems
A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals
Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment
Is position important? deep multi-task learning for aspect-based sentiment analysis
A hybrid bio-inspired algorithm and its application
Siamese transformer RGBT tracking
List-based mining top-k average-utility itemsets with effective pruning and threshold raising strategies
Mining sequential patterns with periodic wildcard gaps
A bias extraction and penalty method for robust visual question answering
Active intellectual property protection for deep neural networks through stealthy backdoor and users' identities authentication
NetDPO: (delta, gamma)-approximate pattern matching with gap constraints under one-off condition
Pyramid-attention based multi-scale feature fusion network for multispectral pan-sharpening
Multi-view k-proximal plane clustering
Semantic and geometric information propagation for oriented object detection in aerial images
Rate maximization based on soft actor-critic reset for RIS-assisted MU-MISO symbiotic radio systems
Machine learning techniques to predict different levels of hospital care of CoVid-19
Low-rank robust online distance/similarity learning based on the rescaled hinge loss
Behavior imitation of individual board game players
A co-training method based on entropy and multi-criteria
UAV-enabled fair offloading for MEC networks: a DRL approach based on actor-critic parallel architecture
Ego noise cancellation of a robot using missing feature masks
Early classification of time series based on trend segmentation and optimization cost function
Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection
A new deep learning-based approach for predicting the geothermal heat pump's thermal power of a real bioclimatic house
Image annotation by modeling Supporting Region Graph
Attribute selection for incomplete decision systems by maximizing correlation and independence with mutual granularity
Bias reduction via cooperative bargaining in synthetic graph dataset generation
Attention-based bi-directional refinement network for salient object detection
A novel belief Tanimoto coefficient with its applications in multisource information fusion
SCSNet: a novel transformer-CNN fusion architecture for enhanced segmentation and classification on high-resolution semiconductor micro-scale defects
Comparison of content-based music recommendation using different distance estimation methods
Automatic MR brain image segmentation using a multiseed based multiobjective clustering approach
Two robust long short-term memory frameworks for trading stocks
The small-world trust network
Handwritten characters recognition based on nature-inspired computing and neuro-evolution
Dictionary learning for unsupervised feature selection via dual sparse regression
Personalized federated learning with exact stochastic gradient descent
Analysis of 3D Hand Trajectory Gestures Using Stroke-Based Composite Hidden Markov Models
Redefined target sample-based background-aware correlation filters for object tracking
A New Symmetric Probabilistic Encryption Scheme Based on Chaotic Attractors of Neural Networks
A hybrid prediction model for stock trend based on gated recurrent unit and wavelet transform
Effective machine learning, Meta-heuristic algorithms and multi-criteria decision making to minimizing human resource turnover
An efficient method for mining multi-level high utility Itemsets
A proactive approach for random forest
A survey on machine learning in array databases
Reference-guided deep deblurring via a selective attention network
Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization
An enhanced SSD with feature cross-reinforcement for small-object detection
EnsembleSleepNet: a novel ensemble deep learning model based on transformers and attention mechanisms using multimodal data for sleep stages classification
ATTD and ATDS detecting abnormal trajectory detection for urban traffic data
User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model
Fuzzy predictive control based multiple models strategy for a tubular heat exchanger system
IDO: Instance dual-optimization for weakly supervised object detection
DynKGCL: Contrastive learning for recommendation with dynamic dual-channel positive expansion and adaptive negative sampling
Cross-view vehicle re-identification based on graph matching
Adaptive graph regularized nonnegative matrix factorization for data representation
A single-valued neutrosophic Gaussian process regression approach for stability prediction of open-pit mine slopes
Focus on temporal graph convolutional networks with unified attention for skeleton-based action recognition
Semi-supervised medical image classification via increasing prediction diversity
E-DBRL: efficient double broad reinforcement learning for adaptive traffic signal control
Enhancing e-learning systems with personalized recommendation based on collaborative tagging techniques