yusuke1997/dblp-id-title huggingface dataset:
Segmentation based rotated bounding boxes prediction and image synthesizing for object detection of high resolution aerial images
Coordinate-Aware Mask R-CNN with Group Normalization: A underwater marine animal instance segmentation framework
Dual-domain based backdoor attack against federated learning
Adversarial point cloud perturbations against 3D object detection in autonomous driving systems
A few filters are enough: Convolutional neural network for P300 detection
Hierarchical attention-based multimodal fusion for video captioning
Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion
Uncovering anomalous rating behaviors for rating systems
Novel adaptive hybrid rule network based on TS fuzzy rules using an improved quantum-behaved particle swarm optimization
Maximum margin clustering for state decomposition of metastable systems
Special issue on hybrid neurocomputing
Hippocampal LTP induction is related to dynamic range of postsynaptic calcium concentration
Self-supervise ensemble for extreme imbalance data streams with concept drift
Traffic sign detection and recognition using fully convolutional network guided proposals
Human detection based on pyramidal statistics of oriented filtering and online learned scene geometrical model
Enhance the old representations' adaptability dynamically for exemplar-free continual learning
Analyzing the weight dynamics of recurrent learning algorithms
Extended dissipative state estimation of delayed stochastic neural networks
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
Counterfactual experience augmented off-policy reinforcement learning
Brain MRI super-resolution using coupled-projection residual network
Zhang neural network, Getz-Marsden dynamic system, and discrete-time algorithms for time-varying matrix inversion with application to robots' kinematic control
A post-non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs
Session-based recommendation via flow-based deep generative networks and Bayesian inference
The effect of finite sample size on on-line K-means
A case-based reasoning approach to cost estimation of new product development
Video analysis for identifying human operation difficulties and faucet usability assessment
Relay cooperative tracking control of networked nonlinear multi-agent systems with communication delays: A data-driven method
Stochastic vs. deterministic evolutionary algorithm-based allocation and scheduling for XMOS chips
An approximate closed-form solution to correlation similarity discriminant analysis
A single-spike model of predictive coding
Linear discriminants described by disjoint tangent configurations
Dynamics of excitatory networks of bursting pacemaking neurons: Modeling and experimental studies of the respiratory central pattern generator
Data-driven finite-horizon optimal tracking control scheme for completely unknown discrete-time nonlinear systems
Combining active learning and local patch alignment for data-driven facial animation with fine-grained local detail
Low-rank tensor recovery via jointing the non-convex regularization and deep prior
Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps
HifiDiff: High-fidelity diffusion model for face hallucination from tiny non-frontal faces
Pseudo-LiDAR point cloud magnification
Efficient verification of neural networks based on neuron branching and LP abstraction
Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task
Primal twin support vector regression and its sparse approximation
Short-term wind power forecasting with small-sample datasets using an attention-enhanced domain-adversarial neural network
Depression level assessment based on multi-layer graph neural networks applied to facial videos
An unsupervised image segmentation method combining graph clustering and high-level feature representation
Dynamics of periodic Cohen-Grossberg neural networks with varying delays
Topic aspect-oriented summarization via group selection
Fully distributed adaptive time-varying formation control of singular multiagent systems
Classification-based learning by particle swarm optimization for wall-following robot navigation
A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network
A model of the summation pools within the layer 4 (area 17)
Non-synaptic modulation of cortical network dynamics
Stability analysis of entrainment by two periodic inputs with a fixed delay
Comparator trees for winner-take-all circuits
Dynamic PCA for network feature extraction in multi-electrode recording of neurophysiological data in cortical substrate of pain
Large size single image fast defogging and the real time video defogging FPGA architecture
Feature-level attention network with group-aware interest modeling for sequential recommendation
Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines
Robust tracking and vibration suppression for nonlinear two-inertia system via modified dynamic surface control with error constraint
Pinning sampled-data synchronization of coupled inertial neural networks with reaction-diffusion terms and time-varying delays
Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework
Learning action patterns in difference images for efficient action recognition
A comprehensive survey and taxonomy on privacy-preserving deep learning
Local margin based semi-supervised discriminant embedding for visual recognition
Extending the weightless WiSARD classifier for regression
Graph self-representation method for unsupervised feature selection
An improved iterative back projection algorithm based on ringing artifacts suppression
Compartmental models of growing neurites
Alignment-assisted Frequency Fusion Network for RGB-infrared vehicle detection
Hierarchical feature learning with dropout k-means for hyperspectral image classification
Minimum spanning tree based one-class classifier
Non-uniform sampled-data control for stochastic passivity and passification of Markov jump genetic regulatory networks with time-varying delays
Text image deblurring via two-tone prior
Action decoupled SAC reinforcement learning with discrete-continuous hybrid action spaces
Multi-vehicle trajectory prediction and control at intersections using state and intention information
Collaborative visual modeling for automatic image annotation via sparse model coding
Fragmented edge structure coding for Chinese writer identification
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems
Beyond EM: A faster Bayesian linear regression algorithm without matrix inversions
Sparse projections matrix binary descriptors for face recognition
A new kernel Fisher discriminant algorithm with application to face recognition
Dimensionality reduction of data sequences for human activity recognition
Explaining deep neural networks: A survey on the global interpretation methods
Speeding up backpropagation training on a hypercube computer
A survey of deep learning for face presentation attack detection
Double-kernel based Bayesian approximation broad learning system with dropout
Context-driven pyramid registration network for estimating large topology-preserved deformation
Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm
Understanding emotional impact of images using Bayesian multiple kernel learning
Balance gate controlled deep neural network
A robust approach to empirical PDF estimate
Design of the MOI method based on the artificial neural network for crack detection
A review on the use of deep learning for medical images segmentation
Rapid learning with parametrized self-organizing maps
Edge guided salient object detection
Identification of rice diseases using deep convolutional neural networks
Detecting children with autism spectrum disorder based on script-centric behavior understanding with emotional enhancement
System reliability analysis of slopes using least squares support vector machines with particle swarm optimization
Low-rank quaternion tensor completion by truncated nuclear norm regularization for color video recovery
New single-image super-resolution reconstruction using MRF model
Addressing imbalance in multilabel classification: Measures and random resampling algorithms
Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest
Energy coding and energy functions for local activities of the brain
Bridging modal gaps: A Cross-Modal Feature Complementation and Feature Projection Network for visible-infrared person re-identification
A novel focused crawler based on cell-like membrane computing optimization algorithm
Online semi-supervised annotation via proxy-based local consistency propagation
Eye detection under varying illumination using the retinex theory
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center
L2SSP: Robust keypoint description using local second-order statistics with soft-pooling
Machine learning in indoor visible light positioning systems: A review
A real-time model of the cerebellar circuitry underlying classical conditioning: A combined simulation and robotics study
A Granular Functional Network with delay: Some dynamical properties and application to the sign prediction in social networks
A resilience approach to state estimation for discrete neural networks subject to multiple missing measurements and mixed time-delays
Disparity prediction between adjacent frames for dynamic scenes
MSSCR: Multi-scale semantic collaborative reasoning model for explainable multimodal rumor detection
Area-keywords cross-modal alignment for referring image segmentation
Understanding dropout as an optimization trick
Understanding beyond outputs: A novel knowledge distillation method using Schur decomposition
Large-scale video copy retrieval with temporal-concentration SIFT
Quality enhancement of compressed screen content video by cross-frame information fusion
Corrigendum to "Exponential state estimation for recurrent neural networks with distributed delays" [Neurocomputing 71(1-3) (2007) 428-438]
Saliency detection based on global and local short-term sparse representation
Learning the Beneficial, Forgetting the Harmful: High generalization reinforcement learning with in evolving representations
A novel parameters correction and multivariable decision tree method for edge computing enabled HGR system
An UWB ranging method based on wavelet packet decomposition
Synchronization control of switched linearly coupled neural networks with delay
The automatic model selection and variable kernel width for RBF neural networks
Solving TSP by using Lotka-Volterra neural networks
ENSO analysis and prediction using deep learning: A review
A new web-supervised method for image dataset constructions
Distributed output consensus of heterogeneous multi-agent systems via an output regulation approach
Data-driven optimal shared control of unmanned aerial vehicles
YOLO-RD: Road defect detection with context-aware attention and balanced loss
Learning-based optimal formation for multi-unmanned surface vessels via fully actuated system approach
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation
A triple-phase boost transformer for industrial equipment fault prediction
Towards better transition modeling in recurrent neural networks: The case of sign language tokenization
Compression of hyperspectral remote sensing images by tensor approach
Application of evolutionary neural network method in predicting pollutant levels in downtown area of Hong Kong
EPRD: Exploiting prior knowledge for evidence-providing automatic rumor detection
Sensitivity based robust learning for stacked autoencoder against evasion attack
Breast tumor segmentation with prior knowledge learning
ISM-Net: Mining incremental semantics for class incremental learning
State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations
Example-feature graph convolutional networks for semi-supervised classification
A novel context-adaptive multi-scale defect detection method for object surface defects
A circuit framework for robust manifold learning
Hopfield networks and symmetry groups
Structure optimization of prior-knowledge-guided neural networks
Research on efficient data processing method for fog computing based on blockchain and federated learning
Hyperbolic legendre neural network: Enhancing modeling and generalization capabilities in hyperbolic space
Sparse solution in training artificial neural networks
Hyperspectral image classification by AdaBoost weighted composite kernel extreme learning machines
Modeling the interplay of short-term memory and the basal ganglia in sequence processing
Text-guided visual prompt learning with semantic prompt generation and feature fusion
A greedy algorithm for the analysis transform domain
Precisely timed transient synchronization by depressing synapses
Spatio-temporal patterns of network activity in the inferior olive
Active contours driven by localizing region and edge-based intensity fitting energy with application to segmentation of the left ventricle in cardiac CT images
Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model
Efficient approximations of robust soft learning vector quantization for non-vectorial data
Temporal Spectral Residual for fast salient motion detection
Immune K-SVD algorithm for dictionary learning in speech denoising
Recognition of temporal event sequences by a network of cortical neurons
Projected variable three-term conjugate gradient algorithm for enhancing generalization performance in deep neural network training
Adaptive Projected Matrix Factorization method for data clustering
Fuzzy parameterized fuzzy soft k -nearest neighbor classifier
SA-Net: A deep spectral analysis network for image clustering
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition
Nearest neighbors and density-based undersampling for imbalanced data classification with class overlap
Efficient Two-Step Networks for Temporal Action Segmentation
Delay-dependent LMI-based robust stability criterion for discrete and distributed time-delays Markovian jumping reaction-diffusion CGNNs under Neumann boundary value
Accurate binary neural network based on rich information flow
Leader-following consensus of linear multi-agent systems with randomly occurring nonlinearities and uncertainties and stochastic disturbances
Semi-supervised classification in stratified spaces by considering non-interior points using Laplacian behavior
CascNet: No-reference saliency quality assessment with cascaded applicability sorting and comparing network
Nonlinear system identification with continuous piecewise linear neural network
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data
Generalized Weber-face for illumination-robust face recognition
A data-driven approach to spoken dialog segmentation
Fast-DSAGCN: Enhancing semantic segmentation with multifaceted attention mechanisms
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
A survey on collaborative hunting with robotic swarm: Key technologies and application scenarios
Image deblurring using tri-segment intensity prior
Sparse representation combined with context information for visual tracking
Multi-frequency and multi-domain human activity recognition based on SFCW radar using deep learning
Apply extended self-organizing map to cluster and classify mixed-type data
A compact neural network for training support vector machines
Energy based competitive learning
Mechanisms for activity spread in a neural field model
Deep reinforcement learning for extractive document summarization
Deep InterBoost networks for small-sample image classification
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine
Distributed, web-based microstructure database for brain tissue
A hybrid learning neural network architecture with locally activated hidden layer for fast and accurate mapping
Micro-expression spotting: A new benchmark
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
Enhancing offline reinforcement learning for wastewater treatment via transition filter and prioritized approximation loss
A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition
Neural network formation control of underactuated autonomous underwater vehicles with saturating actuators
Time-series forecasting through wavelets transformation and a mixture of expert models
Discriminative learning of imaginary data for few-shot classification
2-D direction histogram based entropic thresholding
Focal and efficient IOU loss for accurate bounding box regression
A kernelized non-parametric classifier based on feature ranking in anisotropic Gaussian kernel
A learning-based view extrapolation method for axial super-resolution
Exploring gap junction location and density in electrically coupled hippocampal oriens interneurons
Harmonious competition learning for Gaussian mixtures
Exploiting module evolution correlation relationship for fine-grained bird image classification with structural functional representation
Interlocking of learning and orthonormalization in RRLSA
New concept to improve cooperation in dynamic complex network
SCSA: Exploring the synergistic effects between spatial and channel attention
Chaotic neural network with nonlinear self-feedback and its application in optimization
Stability analysis and L 1 -gain controller synthesis of switched positive T-S fuzzy systems with time-varying delays
Enhanced 3D tumor synthesis and segmentation framework using multiscale diffusion and hybrid SAM-Swin models across diverse anatomical datasets
Verification mechanism to obtain an elaborate answer span in machine reading comprehension
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
Promoting camouflaged object detection through novel edge-target interaction and frequency-spatial fusion
InfAR dataset: Infrared action recognition at different times
Cascade shallow CNN structure for face verification and identification
Distributed event-triggered observer-based tracking control of leader-follower multi-agent systems
Model validation using mutated training labels: An exploratory study
Reinforcement-conflict based control: An integrative model of error detection in anterior cingulate cortex
Modeling interactions between filial imprinting and a predisposition using genetic algorithms and neural networks
Presenting the special issue on "Selected Engineering Applications of Neural Networks"
Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features
Multi-domain few-shot image recognition with knowledge transfer
CBR based reactive behavior learning for the memory-prediction framework
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network
Design of controller on synchronization of chaotic neural networks with mixed time-varying delays
A continuum-field model of visual cortex stimulus-driven behaviour: emergent oscillations and coherence fields
Optimal training of Mean Variance Estimation neural networks
Containment control with multiple leaders for nonlinear multi-agent systems with unstabilizable linearizations
An active learning approach for stroke lesion segmentation on multimodal MRI data
An effective fusion defogging approach for single sea fog image
Constraint-based clustering by fast search and find of density peaks
Discussions on observer design of nonlinear positive systems via T-S fuzzy modeling
Incorporating edge sharpening and covariance attention for named entity recognition
Modeling long-term video semantic distribution for temporal action proposal generation
MABQN: Multi-agent reinforcement learning algorithm with discrete policy
AniArtAvatar: Animatable 3D art avatar from a single image
UniQ-ViT: Optimization-driven uniform quantization for vision transformer acceleration
Self-supervised learning and semi-supervised learning for multi-sequence medical image classification
Radial-Based oversampling for noisy imbalanced data classification
Non-orthogonal approximate joint diagonalization of non-Hermitian matrices in the least-squares sense
Posit and floating-point based Izhikevich neuron: A Comparison of arithmetic
A multi-task learning framework for end-to-end aspect sentiment triplet extraction
Fixed-time event-triggered consensus control for multi-agent systems with nonlinear uncertainties
An uncorrelated fisherface approach
Time-Delay ART for spatio-temporal patterns
Group consensus of multi-agent systems with communication delays
Network decomposition based large-scale reverse engineering of gene regulatory network
DNTFNet: Deep feature learning via tensor factorization for few-shot HSI classification
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems
Beyond supervision: Harnessing self-supervised learning in unseen plant disease recognition
Instant coherent group motion filtering by group motion representations
Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills
New Issues in Neurocomputing
Tree structured artificial immune network with self-organizing reaction operator
Graph feature selection for dementia diagnosis
Dynamic complementary dual-teacher: A novel framework for semi-supervised thyroid nodule segmentation
Quasi-synchronization of neural networks with diffusion effects via intermittent control of regional division
Meta-learning for time series forecasting and forecast combination
PLV-CSNet: Projected Landweber Variant unfolding network for image compressive sensing reconstruction
A learning-based multiscale modelling approach to real-time serial manipulator kinematics simulation
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data
Managing models of signaling networks
Feature agglomeration networks for single stage face detection
A systematic review of image-level camouflaged object detection with deep learning
Traveling waves in a ring of three inhibitory coupled model neurons
A genetic algorithm for subset sum problem
Robust nonparallel support vector machines via second-order cone programming
Variational methods with application to medical image segmentation: A survey
Implementation of neural network based non-linear predictive control
Destination prediction using deep echo state network
Convergence analysis of a back-propagation algorithm with adaptive momentum
The operating system of the neuromorphic BrainScaleS-1 system
The feature generator of hard negative samples for fine-grained image recognition
Extending Evolution-Guided Policy Gradient Learning into the multi-objective domain
Intelligent data analysis applied to debug complex software systems
Scale attentive network for scene recognition
A learning method in Hopfield neural network for combinatorial optimization problem
Evaluation of the inverse dynamic model in cerebellum during visual-vestibular interactions at different VOR gains in squirrel monkeys
RFE-SRN: Image-text similarity reasoning network based on regional feature enhancement
A fuzzy process neural network model and its application in process signal classification
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost
Facial expression recognition via learning deep sparse autoencoders
Synfire chain in a balanced network
Exponential synchronization for delayed recurrent neural networks via periodically intermittent control