yusuke1997/dblp-id-title huggingface dataset:
Development of the regional freight transportation demand prediction models based on the regression analysis methods
A neuromorphic SLAM architecture using gated-memristive synapses
An application of backtracking search algorithm in designing power system stabilizers for large multi-machine system
A new image registration algorithm using SDTR
Calibrating feature maps for deep CNNs
A multi-objective berth allocation problem in fuzzy environment
Infrastructure-assisted 3D detection networks based on camera-lidar early fusion strategy
A general framework for co-training and its applications
Forecasting the CATS benchmark with the Double Vector Quantization method
Dynamically retrieving knowledge via query generation for informative dialogue generation
Combining CNN and transformers for full-reference and no-reference image quality assessment
Event-triggered explorized IRL-based decentralized fault-tolerant guaranteed cost control for interconnected systems against actuator failures
Periodically intermittent control on robust exponential synchronization for switched interval coupled networks
A hybrid graph transformer network for fingerprint and palmprint minutiae matching of young children
Adaptive SpikeDeep-classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting
Vertical partitioned high-dimensional data publishing with differential privacy principal component analysis
GOSNet: RGB-T salient object detection network based on Global Omnidirectional Scanning
Inferring semantics from textual information in multimedia retrieval
Robust and stochastic sparse subspace clustering
The visual cortex modeling by the hexagonal topology
A deep domain adaption model with multi-task networks for planetary gearbox fault diagnosis
Tricking AI chips into simulating the human brain: A detailed performance analysis
A recurrent emotional CMAC neural network controller for vision-based mobile robots
Continual adaptation of federated reservoirs in pervasive environments
Directed Adaptive Graphical Lasso for causality inference
Synchronization of stochastic Markovian jump neural networks with reaction-diffusion terms
Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks
Advances in computational intelligence and learning (ESANN 2009)
PSscheduler: A parameter synchronization scheduling algorithm for distributed machine learning in reconfigurable optical networks
Learning to predict eye fixations for semantic contents using multi-layer sparse network
On the relevance of local synchronization for establishing a winner-take-all functionality of the gamma cycle
Multi-Installment Scheduling for Large-Scale Workload Computation with Result Retrieval
BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR
Emotion agent: Unsupervised deep reinforcement learning with distribution-prototype reward for continuous emotional EEG analysis
Efficient kernelisation of discriminative dimensionality reduction
Empirical kernel map-based multilayer extreme learning machines for representation learning
Efficient neural network using pointwise convolution kernels with linear phase constraint
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks
Attentive multi-view deep subspace clustering net
PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification
Containment of linear multi-agent systems with disturbances generated by heterogeneous nonlinear exosystems
UFG-Net: Uncertainty and frequency guided network for image forgery localization
Mitigating modality imbalance in multimodal sentiment analysis via emotion-enriched visual encoding and pyramid gated fusion
Observer-based cluster consensus control of high-order multi-agent systems
Deep scene flow learning from point cloud with Transformer
Extracting error productions from a neural network-based LR parser
A trust-aware latent space mapping approach for cross-domain recommendation
RFBLS: A robust rough fuzzy broad learning system with local neighborhood structure
Weakly supervised precise segmentation for historical document images
Global exponential stability analysis of discrete-time genetic regulatory networks with time-varying discrete delays and unbounded distributed delays
HGLFFNet: Hierarchical global-local feature fusion network for facial expression recognition
Power series and neural-net computing
Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams
Factorized f-step radial basis function model for model predictive control
Designing efficient discriminant functions for multi-category classification using evolutionary methods
Enhancing rotated object detection via anisotropic Gaussian bounding box and Bhattacharyya distance
Mittag-Leffler stability and asymptotic ω-periodicity of fractional-order inertial neural networks with time-delays
Comparison principles and stability of nonlinear fractional-order cellular neural networks with multiple time delays
A practical framework for automatic food products classification using computer vision and inductive characterization
Kernel subclass discriminant analysis
LMI-based exponential stability criterion for bidirectional associative memory neural networks
Semi-supervised segmentation of medical images focused on the pixels with unreliable predictions
Artificial intelligence without restriction surpassing human intelligence with probability one: Theoretical insight into secrets of the brain with AI twins of the brain
Identification of Hammerstein model using functional link artificial neural network
Application of learning pallets for real-time scheduling by the use of radial basis function network
Influence maximization algorithm based on group trust and local topology structure
Patch clustering-based spectral-transformer with multi-level fusion network for spectral reconstruction
Classification of educational videos by using a semi-supervised learning method on transcripts and keywords
Lateralization in a bihemispheric neural model of letter identification
Affine non-negative discriminative representation for biomedical image classification
Class-balanced siamese neural networks
Privacy-preserving 3D human skeleton reconstruction from ankle-level 2D LiDAR using deep learning
Neural networks-based optimal tracking control for nonzero-sum games of multi-player continuous-time nonlinear systems via reinforcement learning
Salient points driven pedestrian group retrieval with fine-grained representation
Improved sequence generation model for multi-label classification via CNN and initialized fully connection
Robust dissipativity analysis for delayed memristor-based inertial neural network
Differentiable gated autoencoders for unsupervised feature selection
Elastic-net regularized latent factor analysis-based models for recommender systems
Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research
Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion
Hybrid safe reinforcement learning: Tackling distribution shift and outliers with the Student-t's process
Fuzzy logic interpretation of quadratic networks
3D magnetic resonance image denoising using low-rank tensor approximation
Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction
A jointly learned deep embedding for person re-identification
A hybrid symbolic subsymbolic controller for complex dynamic systems
Fuzzy support vector machine with graph for classifying imbalanced datasets
Short-term plasticity in a computational model of the tail-withdrawal circuit in Aplysia
Graph-based saliency detection using a learning joint affinity matrix
A mixed-categorical correlation kernel for Gaussian process
A parallel multi-module deep reinforcement learning algorithm for stock trading
Deformable models direct supervised guidance: A novel paradigm for automatic image segmentation
MOVIH-IDS: A mobile-visualization hybrid intrusion detection system
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints
The UPPAM continuous-time RNN model and its critical dynamics study
Neural antagonistic mechanism between default-mode and task-positive networks
Human-to-robot handovers based on multimodal perception
A responsive approach to multivariate time-series anomaly detection with K-distance based calibrated reconstruction
Regularizing classifier for few-shot object detection via feature augmentation and random labeling
Update vs. upgrade: Modeling with indeterminate multi-class active learning
Sensitivity of AMPA receptor channel to calcium oscillations: a computational study
Robust H∞ optimal safety control for WMR system with disturbances and actuator attack under event conditions
A double-elimination-tournament-based competitive co-evolutionary artificial neural network classifier
Regularized ensemble neural networks models in the Extreme Learning Machine framework
Atom Decomposition Based Subgradient Descent for matrix classification
Image scene geometry recognition using low-level features fusion at multi-layer deep CNN
Modeling and control of Cyber-Physical Systems subject to cyber attacks: A survey of recent advances and challenges
Global power-rate synchronization of chaotic neural networks with proportional delay via impulsive control
Improved exploration-exploitation trade-off through adaptive prioritized experience replay
Self-paced and auto-weighted multi-view clustering
An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning
An efficient hybrid spectrum access algorithm in OFDM-based wideband cognitive radio networks
Synchronization of semi-Markov coupled neural networks with impulse effects and leakage delay
Simultaneous coordinated design of PSS and SSSC using improved Lozi map based chaotic optimization algorithm (ILCOA)
An improved recommendation algorithm for big data cloud service based on the trust in sociology
Improving NMF clustering by leveraging contextual relationships among words
Prototype-based multi-domain self-distillation for unbiased scene graph generation
Artificial intelligence in orthokeratology for myopia control: A review
L 1 -graph construction using structured sparsity
Meta-learning in spiking neural networks with reward-modulated STDP
Eliciting analogical reasoning from language models in retrieval-augmented translation under low-resource scenarios
Semantic invariant cross-domain image generation with generative adversarial networks
RKHS-based functional analysis for exact incremental learning
Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties
RGSR: A two-step lossy JPG image super-resolution based on noise reduction
Network collaborator: Knowledge transfer between network reconstruction and community detection
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy
Question retrieval for community-based question answering via heterogeneous social influential network
Margin optimization based pruning for random forest
Passivity and passification of memristor-based complex-valued recurrent neural networks with interval time-varying delays
Deep online hierarchical dynamic unsupervised learning for pattern mining from utility usage data
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression
Deep learning for logo recognition
Ranking nodes in complex networks based on local structure and improving closeness centrality
A generalized varying-parameter recurrent neural network for super solution of quadratic programming problem
Label-guided multi-beam forward-looking sonar image enhancement
Polynomial approximation based spectral dual graph convolution for scene parsing and segmentation
One-shot cross-dataset palmprint recognition via adversarial domain adaptation
Distributed robust support vector ordinal regression under label noise
Boundedness and convergence of online gradient method with penalty and momentum
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control
Online robust principal component analysis via truncated nuclear norm regularization
New dissipativity condition of stochastic fuzzy neural networks with discrete and distributed time-varying delays
Enhancing syntactic and semantic features via TextGINConv and Kolmogorov-Arnold networks for aspect-based sentiment analysis
Novel Grouping Method-based support vector machine plus for structured data
Improving named entity recognition in noisy user-generated text with local distance neighbor feature
Applying posture identifier in designing an adaptive nonlinear predictive controller for nonholonomic mobile robot
An evolutive algorithm for wind farm optimal design
Adaptive dynamic programming based composite control for profile tracking with multiple constraints
Double robust principal component analysis
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)
Machine learning and data mining techniques for medical complex data analysis
Dynamic facial expression recognition in the wild via Multi-Snippet Spatiotemporal Learning
Generalized elastic net optimal scoring problem for feature selection
Convergence analysis of a class of simplified background neural networks with two subnetworks
A clustering algorithm using skewness-based boundary detection
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI
Multimodal learning for view-based 3D object classification
MANet: A two-stage deep learning method for classification of COVID-19 from Chest X-ray images
Learning generic and specific prompts with contrastive constraints for multi-task visual scene understanding
A modified automatic label generation method under low-light environments for event-based semantic segmentation
Facial Image Synthesis and Super-Resolution With Stacked Generative Adversarial Network
Multi-label active learning based on submodular functions
Generalized variational autoencoders for learning disentangled representation
Spectral clustering with the probabilistic cluster kernel
Real-time gesture recognition based on feature recalibration network with multi-scale information
Novel pinning control strategy for coupled neural networks with communication column graphs
Optimal sensor scheduling for two linear dynamical systems under limited resources in sensor networks
Synthetic adaptive fuzzy tracking control for MIMO uncertain nonlinear systems with disturbance observer
Growing nonuniform feedforward networks for continuous mappings
Special Issue on Conformal and Probabilistic Prediction with Applications
A deterministic approach to regularized linear discriminant analysis
Random Voronoi ensembles for gene selection
Simulations of signal flow in a functional model of the cortical column
A Multi-purpose countermeasure against image anti-forensics using autoregressive model
Variable step search algorithm for feedforward networks
Extracting features from phase space of EEG signals in brain-computer interfaces
Determining r- and (r, s)-robustness of multiagent networks based on heuristic algorithm
Pattern classification of non-sparse data using optimal interpolative nets
Cortex-basal ganglia interaction and attractor states
Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study
Triple alignment-enhanced complex question answering over knowledge bases
Exploring two novel features for EEG-based brain-computer interfaces: Multifractal cumulants and predictive complexity
Fast hierarchical clustering of local density peaks via an association degree transfer method
Firing regularity control of single neuron based on closed-loop ISI clamp
Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset
An adaptive threshold mechanism for accurate and efficient deep spiking convolutional neural networks
Non-fragile asynchronous H∞ estimation for piecewise-homogeneous Markovian jumping neural networks with partly available transition rates: A dynamic event-triggered scheme
Design of neurocomputer architectures for large-scale constraint satisfaction problems
Overcoming structural and similarity barriers: Graph neural network-based contextual reasoning for detecting incongruent and partially misleading news
MSSBoost: A new multiclass boosting to semi-supervised learning
Introduction to Neural and Cognitive Modeling, 2nd edition, D.S. Levine; Lawrence Erlbaum, London, 2000, pp 491, ISBN 0-8058-2006-X
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis
Learning solutions to two dimensional electromagnetic equations using LS-SVM
ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs
Pseudo Contrastive Learning for graph-based semi-supervised learning
Double reuses based residual network
Distribution preserving learning for unsupervised feature selection
Distributional consistency-guided prompt learning for vision-language models
A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation
Motif-based memory networks for complex-factoid question answering
Online indexing and clustering of social media data for emergency management
DABLN：An intelligent classification network based on breadth-based learning for noisy redundant signals
Editorial Special Issue MCPR 2014: Advances in pattern recognition methodologies and applications
Biases in white noise analysis due to non-Poisson spike generation
GSCFN: A graph self-construction and fusion network for semi-supervised brain tissue segmentation in MRI
Contrastive learning-based fuzzy support vector machine
A computational model of the interaction between external and internal cues for the control of hippocampal place cells
Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation
PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters
Leader-following consensus of second-order nonlinear multi-agent systems with unmodeled dynamics
Hybrid method for automatic construction of 3D-ASM image intensity models for left ventricle
Recurrent neural network for computation of generalized eigenvalue problem with real diagonalizable matrix pair and its applications
Nuclear-norm based 2DLDA with application to face recognition
Graph-enhanced & monotonic embeddings: A novel approach to tabular data representation
Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
A new model selection strategy in time series forecasting with artificial neural networks: IHTS
Adaptive momentum enhanced second-order stochastic federated learning
Associative memory in a pair of cortical cell groups with reciprocal projections
Observer-based output feedback control design of discrete-time Takagi-Sugeno fuzzy systems: A multi-samples method
Challenges for large-scale implementations of spiking neural networks on FPGAs
Motion sequence analysis in the presence of figural cues
Active learning from label proportions via pSVM
Efficient twin parametric insensitive support vector regression model
PSDVec: A toolbox for incremental and scalable word embedding
Social images tag ranking based on visual words in compressed domain
Kernelized sparse hashing for scalable image retrieval
Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm
Asymmetric deep generative models
Robust balancing scheme-based approach for tensor completion
On the distributed optimization over directed networks
Non-overlapped implantation (NOI) MOSFET synapse and its implementation on supervised neural network
Multi-granularity generative adversarial nets with reconstructive sampling for image inpainting
New results for uncertain switched neural networks with mixed delays using hybrid division method
Convolutional neural network and riemannian geometry hybrid approach for motor imagery classification
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations
An efficient approach for privacy preserving decentralized deep learning models based on secure multi-party computation
Output feedback robust stabilization of switched fuzzy systems with time-delay and actuator saturation
DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
Consensus local graph for multiple kernel clustering
Integrating instance-level knowledge to see the unseen: A two-stream network for video object segmentation
Sparse blind identification and separation by using adaptive K-orthodrome clustering
Rigid-area orthogonal spectral regression for efficient 3D face recognition
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments
An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm
Dataset structure as prior information for parameter-free regularization of extreme learning machines
Machine learning on sequential data using a recurrent weighted average
A crowdsourcing development approach based on a neuro-fuzzy network for creating innovative product concepts
Lifelong reinforcement learning tracking control of nonlinear strict-feedback systems using multilayer neural networks with constraints
Multimodal multitask similarity learning for vision language model on radiological images and reports
An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition
Small object detection network based on progressive enhanced multi-level feature fusion
Finite-time adaptive neural command filtered control for pure-feedback time-varying constrained nonlinear systems with actuator faults
Elliptical convolution kernel: More real visual field
An extended one-versus-rest support vector machine for multi-label classification
A neural network based protection technique for combined 275 kV/400 kV double circuit transmission lines
Multi-task joint training model for machine reading comprehension
A feature-binding model with localized excitations
A hierarchical learning network for face detection with in-plane rotation
Expectation maximization of prefrontal-superior temporal network by indicator component-based approach
DGCNN: Disordered graph convolutional neural network based on the Gaussian mixture model
Hybrid training of radial basis function networks in a partitioning context of classification
Event-triggered sliding mode control with adaptive neural networks for uncertain nonlinear systems
Brain-inspired self-organizing modular structure to control human-like movements based on primitive motion identification
Low-rank structure preserving for unsupervised feature selection
Graph-based multimodal semi-supervised image classification
Prediction of credit delinquents using locally transductive multi-layer perceptron
Deep depth-based representations of graphs through deep learning networks
Discriminative concept factorization for data representation
Neural cyberattacks applied to the vision under realistic visual stimuli
Representative negative sampling for graph positive-unlabeled learning
Defect identification of wind turbine blades based on defect semantic features with transfer feature extractor
DSTMNet: A dual spatiotemporal modeling network for EEG-based emotion recognition
Neural Koopman Lyapunov control
The complex local mean decomposition
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems