yusuke1997/dblp-id-title huggingface dataset:
HyperFast: a spectral-spatial guided filtering framework for efficient UAV-borne hyperspectral crop classification
Search intensity versus search diversity: a false trade off?
SPROSAC: Streamlined progressive sample consensus for coarse-fine point cloud registration
Will senior adults accept being cognitively assessed by a conversational agent? a user-interaction pilot study
GSV-Pose: Pose estimation based on geometric similarity voting
Planar Grasping Characterization Based on Curvature-Symmetry Fusion
Iteratively local fisher score for feature selection
A distance sum-based hybrid method for intrusion detection
A novel fuzzy compensation multi-class support vector machine
Nested probabilistic-numerical linguistic term sets in two-stage multi-attribute group decision making
Attention-based VGG-16 model for COVID-19 chest X-ray image classification
Affinity adaptive sparse subspace clustering via constrained Laplacian rank
Actively learning dynamical systems using Bayesian neural networks
Machine learning-based methods for TTF estimation with application to APU prognostics
Phenomenological model-based study on electron beam welding process, and input-output modeling using neural networks trained by back-propagation algorithm, genetic algorithms, particle swarm optimization algorithm and bat algorithm
A new approach for efficiently mining frequent weighted utility patterns
Feature selection based on conditional mutual information: minimum conditional relevance and minimum conditional redundancy
A novel feature-based model for zero-shot object detection with simulated attributes
A denoising semi-supervised deep learning model for remaining useful life prediction of turbofan engine degradation
Open-vocabulary object detection with regionwise prompt selection and patch-based category-aware maximal activation
Compositional Verification of a Multi-Agent System for One-to-Many Negotiation
Conditional probability table limit-based quantization for Bayesian networks: model quality, data fidelity and structure score
A branch & bound algorithm to determine optimal bivariate splits for oblique decision tree induction
Graph cooperation deep reinforcement learning for ecological urban traffic signal control
Query set centered sparse projection learning for set based image classification
Single image super-resolution via a ternary attention network
Multilevel segmentation of Hippocampus images using global steered quantum inspired firefly algorithm
Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks
Sparse representation of precision matrices used in GMMs
Spatial-temporal attention network for multistep-ahead forecasting of chlorophyll
Real-time detector design for small targets based on bi-channel feature fusion mechanism
KnRVEA: A hybrid evolutionary algorithm based on knee points and reference vector adaptation strategies for many-objective optimization
AmbISPDM - Managing embedded systems in ambient environments and disaster mitigation planning
A robust hierarchical clustering algorithm for automatic identification of clusters
A multi-agent system for outbound container storage location assignment problem based on hierarchical reinforcement learning
Regularization-based pruning of irrelevant weights in deep neural architectures
Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN
Social recommendation model combining trust propagation and sequential behaviors
FutuTP: Future-based trajectory prediction for autonomous driving
Multi-step wind speed prediction based on an improved multi-objective seagull optimization algorithm and a multi-kernel extreme learning machine
PerQoDA: strength of association between data and labels as a measure of dataset quality in network traffic classification
A novel time-frequency augmented perception method for multivariate time series anomaly detection
Mining interesting sequences with low average cost and high average utility
Learning weighted distance metric from group level information and its parallel implementation
Improving the transferability of adversarial examples with path tuning
DIMCAR: dynamic intent modeling and context-aware recommendations in sparse data environment towards next basket prediction
MgRCL: a multi-granular representation contrastive learning approach for hierarchical multi-label classification
Variable Length IPO and its application in concurrent design and train of ANFIS systems
Personality-based and trust-aware products recommendation in social networks
Fusing heterogeneous information for multi-modal attributed network embedding
SeqVAE: Sequence variational autoencoder with policy gradient
Multileveled Symbiotic Evolutionary Algorithm: Application to FMS Loading Problems
Autoregressive multimodal transformer for zero-shot sales forecasting of fashion products with exogenous data
Two-stage classifications for improving time-to-failure estimates: a case study in prognostic of train wheels
Deep single image deraining using an asymmetric cyclic generative and adversarial framework
Dataset ownership verification with invisible backdoors
Designing a closed-loop green outsourced maintenance supply chain network for advanced manufacturing systems with redundancy strategy and eco-friendly parts
Self-supervised generative learning for sequential data prediction
A framework based on physics-informed graph neural ODE: for continuous spatial-temporal pandemic prediction
A hybrid salp swarm algorithm based on TLBO for reliability redundancy allocation problems
Disentangled causal representation learning for debiasing recommendation with uniform data
Enhanced causal effects estimation based on offline reinforcement learning
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods
Modeling the user state for context-aware spoken interaction in ambient assisted living
A new approach to simultaneous localization and map building with implicit model learning using neuro evolutionary optimization
CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graph
Modeling of complex internal logic for knowledge base completion
Red Deer algorithm based social trust based congestion control in ad hoc social networks
GSP: an automatic programming technique with gravitational search algorithm
RSPMP: real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments
URO-GAN: An untrustworthy region optimization approach for adipose tissue segmentation based on adversarial learning
Hierarchical linear and nonlinear adaptive learning model for system identification and prediction
Robust multi-objective multi-humanoid robots task allocation based on novel hybrid metaheuristic algorithm
Multi-label feature selection based on logistic regression and manifold learning
Attentive frequency learning network for super-resolution
Progress towards robotic exploration of extreme terrain
A two-stage progressive shadow removal network
Enhanced particle swarm optimization with multi-swarm and multi-velocity for optimizing high-dimensional problems
PointFusionNet: Point feature fusion network for 3D point clouds analysis
Multi-modal anomaly detection for microservice system through nested graph diffusion reconstruction
Incorporating retrieval-based method for feature enhanced image captioning
Projection multi-birth support vector machinea for multi-classification
MDS: An Integrated Architecture for Associational and Model-Based Diagnosis
A comprehensive review of model compression techniques in machine learning
Local community detection algorithm based on local modularity density
MSIMCNN: Multi-scale inception module convolutional neural network for multi-focus image fusion
MMD-encouraging convolutional autoencoder: a novel classification algorithm for imbalanced data
Community detection in attributed networks based on heterogeneous vertex interactions
Accurate prediction of ice surface and bottom boundary based on multi-scale feature fusion network
Weakly-supervised object localization with gradient-pyramid feature
Reinforced domain adaptation with attention and adversarial learning for unsupervised person Re-ID
Long text feature extraction network with data augmentation
Unsupervised adaptive learning method for salient object detection under weak observation conditions
A novel three-way heterogeneous multi-attribute group decision method based on LINMAP for college teacher introduction
Time Series Reconstruction and Classification: A Comprehensive Comparative Study
A novel group decision-making approach in multi-scale environments
Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation
Enhancing knowledge graph embedding with structure and semantic features
Multi-skeleton structures graph convolutional network for action quality assessment in long videos
TKEH: an efficient algorithm for mining top-k high utility itemsets
A domain-aware model with multi-perspective contrastive learning for natural language understanding
ADA-INCVAE: Improved data generation using variational autoencoder for imbalanced classification
Coarse-fine point cloud registration based on local point-pair features and the iterative closest point algorithm
Identifying cardiomegaly in chest x-rays using dual attention network
Matrix factorization of large scale data using multistage matrix factorization
Microassembly path planning using reinforcement learning for improving positioning accuracy of a 1 cm 3 omni-directional mobile microrobot
Adversarial example generation with adabelief optimizer and crop invariance
A multi-mode traffic flow prediction method with clustering based attention convolution LSTM
SD2Net: surface-mounted device detection network with convolution-free attention mechanism for printed circuit board integrity assurance
A novel deep pixel restoration video prediction algorithm integrating attention mechanism
Collaborative penetration testing suite for emerging generative AI algorithms
CAMFv2: Better, faster and stronger for electrochemiluminescence image denoising
Model-agnostic generation-enhanced technology for few-shot intrusion detection
Multi-view attention-convolution pooling network for 3D point cloud classification
One-stop multiscale reconciliation attention network with scribble supervision for salient object detection in optical remote sensing images
HFL-GAN: scalable hierarchical federated learning GAN for high quantity heterogeneous clients
From Knowledge-Level Models to Applications
The Bombus-terrestris bee optimization algorithm for feature selection
Fast and accurate cable detection using CNN
Toward a novel art inspired incremental community mining algorithm in dynamic social network
Joint grading of diabetic retinopathy and diabetic macular edema using an adaptive attention block and semisupervised learning
Enhancing the imitation game: a trust-based model for distinguishing human and machine participants
Video prediction: a step-by-step improvement of a video synthesis network
Structure and weights search for classification with feature selection based on brain storm optimization algorithm
Design and evaluation of exoskeleton device for rehabilitation of index finger using nature-inspired algorithms
An accurate cell tracking approach with self-regulated foraging behavior of ant colonies in dynamic microscopy images
Multi-metric learning by a pair of twin-metric learning framework
Multiple weak supervision for short text classification
Dense-scale dynamic network with filter-varying atrous convolution for semantic segmentation
Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources
Instance-aware context with mutually guided vision-language attention for referring image segmentation
Relation patterns extraction from high-dimensional climate data with complicated multi-variables using deep neural networks
Ennoble class topper optimization algorithm based fuzzy PI-PD controller for micro-grid
An intuitionistic linguistic MCDM model based on probabilistic exceedance method and evidence theory
Fast detection and obstacle avoidance on UAVs using lightweight convolutional neural network based on the fusion of radar and camera
An Attention-BiLSTM network identification method for time-delay feedback nonlinear system
Multi-template global re-detection based on Gumbel-Softmax in long-term visual tracking
Deep reinforcement learning for the dynamic and uncertain vehicle routing problem
Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells
RTTES: Real-time search in dynamic environments
Miss-gradient boosting regression tree: a novel approach to imputing water treatment data
TAE: Topic-aware encoder for large-scale multi-label text classification
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
Hiding sensitive itemsets without side effects
Conceptual Models and Architectures for Advanced Information Systems
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
Global and edge enhanced transformer for semantic segmentation of remote sensing
Tabu search with multi-level neighborhood structures for high dimensional problems
Enhancing knowledge graph embedding with type-constraint features
Metric learning based weighted linear discriminant analysis for imbalanced multi-label classification
Image encryption using memristive hyperchaos
Methods for Operations Planning in Airport Decision Support Systems
Dynamic hesitant fuzzy Bayesian network and its application in the optimal investment port decision making problem of "twenty-first century maritime silk road"
SLER: Self-generated long-term experience replay for continual reinforcement learning
RETRACTED ARTICLE: An innovative natural-derived meta-heuristic optimization method
Generalized evidence theory
Incremental classification of remote sensing images using feature pyramid and class hierarchy enhanced by label relationship graphs
A linked open data based system utilizing structured open innovation process for addressing collaboratively public concerns in regional societies
Computational intelligence in medicine and biology
Graph regularized independent latent low-rank representation for image clustering
Multi-instance embedding space set-kernel fusion with discriminability metric
Mask-guided SSD for small-object detection
Improving the anti-occlusion ability of correlation filter-based trackers via segmentation
Development of a multi-objective optimization evolutionary algorithm based on educational systems
A new similarity measure to increase coverage of rating predictions for collaborative filtering
Introduction: Conceptual Models for Intelligent Information Systems
Few-shot learning via relation network based on coarse-grained granulation
Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping
Q-learning based on strategic artificial potential field for path planning enabling concealment and cover in ground battlefield environments
Learning the engagement of query processors for intelligent analytics
Modeling interaction strategies using POS: An application to soccer robots
KGTN-ens: few-shot image classification with knowledge graph ensembles
Automated text annotation: a new paradigm for generalizable text-to-image person retrieval
Sophisticated SOM based genetic operators in multi-objective clustering framework
Betweenness centrality-based community adaptive network representation for link prediction
A Mixed Closure-CSP Method for Solving Scheduling Problems
Chameleon algorithm based on improved natural neighbor graph generating sub-clusters
An online adjusting RBF neural network for nonlinear system modeling
Ant Colony Search Algorithm for Optimal Strategical Planning of Electrical Distribution Systems Expansion
KRMNet: learning core representations for partial discharge pattern recognition via masked autoencoders and mixed position coding
A hierarchical and parallel branch-and-bound ensemble selection algorithm
Boosting semi-supervised network representation learning with pseudo-multitasking
Linear discriminant analysis with spectral regularization
Pattern recognition of epilepsy using parallel probabilistic neural network
Attributed network community detection based on network embedding and parameter-free clustering
HSJ-Solver: a new method based on GHD for answering conjunctive queries and solving constraint satisfaction problems
Multi-objective whale optimization algorithm and multi-objective grey wolf optimizer for solving next release problem with developing fairness and uncertainty quality indicators
NOSMFuse: An infrared and visible image fusion approach based on norm optimization and slime mold architecture
PID control of MIMO process based on rank niching genetic algorithm
A new paradigm for real-time parallel storage and recognition of patterns based on a hierarchical organization of associative memories utilizing Walsh function encoding
A machine learning based intelligent vision system for autonomous object detection and recognition
A motion-aware ConvLSTM network for action recognition
Goal/Plan Analysis via Distributed Semantic Representations in a Connectionist System
Local consistency adjustment strategy and DEA - driven interval type-2 trapezoidal fuzzy decision-making model and its application for fog-haze factor assessment problem
Empowering classroom behavior recognition through hybrid spatial-temporal feature fusion
Identifying mislabeled training data with the aid of unlabeled data
Fuzzy rule-based classification system using multi-population quantum evolutionary algorithm with contradictory rule reconstruction
Pulse-strategy collective learning swarm optimizer for large-scale global optimization
UNIT: A unified metric learning framework based on maximum entropy regularization
High-order consensus graph learning for incomplete multi-view clustering
Inverse discounted-based LQR algorithm for learning human movement behaviors
A ranking method for example based machine translation results by learning from user feedback
Image steganalysis using improved particle swarm optimization based feature selection
Towards continual knowledge transfer in modeling manufacturing processes under non-stationary data streams
Moth-flame optimization algorithm based on diversity and mutation strategy
An adaptive quantitative trading strategy optimization framework based on meta reinforcement learning and cognitive game theory
Improved distance correlation estimation
A hybrid model of convolutional neural networks and deep regression forests for crowd counting
Data-driven operator functional state classification in smart manufacturing
Arabic text detection: a survey of recent progress challenges and opportunities
Driving maneuver classification from time series data: a rule based machine learning approach
Physics-informed epidemic prediction for irregularly sampled spatio-temporal sequence with missing values
Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control
Bottom-up multi-agent reinforcement learning by reward shaping for cooperative-competitive tasks
Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels
Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network
Incremental deep forest for multi-label data streams learning
Genetic Algorithm Coding Methods for Leather Nesting
AI-driven 5G IoT e-nose for whiskey classification
Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine
Infrared target tracking based on proximal robust principal component analysis method
Time-Dynamic Markov Random Fields for price outcome prediction in the presence of lobbying
Real-time pickup and delivery scheduling for inter-island logistics using waterborne AGVs
Towards bridging the neuro-symbolic gap: deep deductive reasoners
A tri-stage competitive swarm optimizer for constrained multi-objective optimization
A deceptive detection model based on topic, sentiment, and sentence structure information
Solving artificial ant problem using two artificial bee colony programming versions
Stock market prediction with multiple classifiers
Multi-scale decision systems with test cost and applications to three-way multi-attribute decision-making
Shape classification using spectral graph wavelets
A multicomponent approach to nonrigid registration of diffusion tensor images
Analysis of zig-zag scan based modified feedback convolution algorithm against differential attacks and its application to image encryption
A semantic social network-based expert recommender system
Detection of rumor conversations in Twitter using graph convolutional networks
Batch mode active learning via adaptive criteria weights
Semi-supervised feature selection with minimal redundancy based on local adaptive
ED-END: robust watermarking technology based on deep coupling of feature extractors
COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features
Privacy-preserving and verifiable multi-instance iris remote authentication using public auditor
DMC-Watermark: A backdoor richer watermark for dual identity verification by dynamic mask covering
Link prediction in dynamic social networks by integrating different types of information
An improved decomposition method for large-scale global optimization: bidirectional-detection differential grouping
Enhancing sentence embedding with dynamic interaction
Distributed learning automata-based scheme for classification using novel pursuit scheme
Unsupervised defect inspection algorithm based on cascaded GAN with edge repair feature fusion
Prostate cancer grade using self-supervised learning and novel feature aggregator based on weakly-labeled gbit-pixel pathology images
A fuzzy strategic game solution for a green supply chain model
Multiple disease diagnoses using heterogeneous EHR curated knowledge graph and machine learning models
Modeling low- and high-order feature interactions with FM and self-attention network
An Integrated Framework for Representing Design History
An improved multiobjective particle swarm optimization algorithm based on tripartite competition mechanism
An integrated fuzzy-grey relational analysis approach to portfolio optimization
Efficient homomorphic encryption framework for privacy-preserving regression
SYMCON - A Hybrid Symbolic/Connectionist System for Word Sense Disambiguation
Attributed network representation learning via improved graph attention with robust negative sampling
Uncertainty-aware hierarchical reinforcement learning for long-horizon tasks
ECLNet: enhancing the CNN-LSTM networks for multivariate long-term time series forecasting
Strategies for avoiding preference profiling in agent-based e-commerce environments
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases
Machine sound anomaly detection based on dual-channel feature fusion variational auto-encoder
Improved convolution neural network integrating attention based deep sparse auto encoder for network intrusion detection
X-ray image super-resolution reconstruction based on a multiple distillation feedback network
Machine learning techniques for software vulnerability prediction: a comparative study
DFHelper: Help clients to participate in federated learning tasks
Dynamic clustering for short text stream based on Dirichlet process
Top-k high average-utility itemsets mining with effective pruning strategies
Moment balanced machine: a new supervised inference engine for on-site construction productivity prediction
Combining time-series evidence: A complex network model based on a visibility graph and belief entropy
A location-aware siamese network for high-speed visual tracking
Detecting interest cache poisoning in sensor networks using an artificial immune algorithm
A novel binary farmland fertility algorithm for feature selection in analysis of the text psychology