yusuke1997/dblp-id-title huggingface dataset:
Accurate and compact convolutional neural network based on stochastic computing
Multi visual and textual embedding on visual question answering for blind people
Detecting potential collusive cliques in futures markets based on trading behaviors from real data
Neural optimization network for minimum-via layer assignment
Correlation-based self-correcting tracking
Dynamical stability analysis of multiple equilibrium points in time-varying delayed recurrent neural networks with discontinuous activation functions
Spiking Trans-YOLO: A range-adaptive energy-efficient bridge between YOLO and Transformer
Introduction of threshold self-adjustment improves the convergence in feature-detective neural nets
Co-evolutionary dynamics in optimal multi-agent game with environment feedback
A nonparametric-learning visual servoing framework for robot manipulator in unstructured environments
Group consensus of multi-agent networks with hybrid interactions
Optimal locality preserving projection for face recognition
A survey of deep neural network architectures and their applications
Anti-periodic solutions on Clifford-valued high-order Hopfield neural networks with multi-proportional delays
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems
A conceptual frame with two neural mechanisms to model selective visual attention processes
Viewpoint Transform Matching model for person re-identification
SwinLip: An Efficient Visual Speech Encoder for Lip Reading Using Swin Transformer
A unified SWSI-KAMs framework and performance evaluation on face recognition
A direct adaptive controller for EAF electrode regulator system using neural networks
Postsynaptic modulation of electrical EPSP size investigated using a compartmental model
A survey of artificial immune algorithms for multi-objective optimization
Structural Transformer with Region Strip Attention for Video Object Segmentation
Sociability-based Influence Diffusion Probability Model to evaluate influence of BBS post
Rain streaks removal from single image based on texture constraint of background scene
An alternate burst analysis for detecting intra-burst firings based on inter-burst periods
ALDII: Adaptive Learning-based Document Image Inpainting to enhance the handwritten Chinese character legibility of human and machine
Integrating advanced vision-language models for context recognition in risks assessment
Caging a novel object using multi-task learning method
A computational model of early vision based on synchronized response and inner product operation
Modelling vocabulary acquisition, adaptation and generalization in infants using adaptive Bayesian PLSA
CBDF: Compressed Binary Discriminative Feature
A fault-tolerant model predictive control approach based on deep operator network
A novel dimensionality reduction method with discriminative generalized eigen-decomposition
Proximal boosting: Aggregating weak learners to minimize non-differentiable losses
Direct adaptive self-structuring fuzzy control with interpretable fuzzy rules for a class of nonlinear uncertain systems
Deep neural networks with weighted spikes
Learning vector quantization: The dynamics of winner-takes-all algorithms
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations
Hiding from thermal imaging pedestrian detectors in the physical world
Prediction of colon cancer using an evolutionary neural network
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
Abnormal event detection for video surveillance using an enhanced two-stream fusion method
Machine learning and signal processing for big multimedia analysis
Existence and global attractivity of almost periodic solutions for delayed high-ordered neural networks
Attacking the spike: On the security of spiking neural networks to adversarial examples
Split-Net: Improving face recognition in one forwarding operation
New delay-dependent asymptotic stability conditions concerning BAM neural networks of neutral type
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification
SoFoNO: Arbitrary-scale image super-resolution via Sobolev Fourier neural operator
Parallel reinforcement learning using multiple reward signals
Time delay Chebyshev functional link artificial neural network
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data
Partitions selection strategy for set of clustering solutions
An online self-gain tuning method using neural networks for nonlinear PD computed torque controller of a 2-dof parallel manipulator
Exponential synchronization of memristor-based neural networks with time-varying delay and stochastic perturbation
Towards event-triggered extended state observer for multi-agent systems
Synchronization for distributed parameter NNs with mixed delays via sampled-data control
A discrete-time dynamic K-winners-take-all neural circuit
A new hybrid quadratic regression and cascade forward backpropagation neural network
Collaborative representation based cross-domain semantic transfer for vehicle re-identification
SurANet: Surrounding-Aware Network for concealed object detection via highly-efficient interactive contrastive learning strategy
GRIFFIN: A gated relaxing interaction-aware fuzzy framework with integrated negation-aware neurocomputing to learn incomplete and non-separable rules for classification
A new big data storage architecture with intrinsic search engines
Explicitly exploiting hierarchical features in visual object tracking
Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis
Simulating place field dynamics using spike timing-dependent plasticity
Slime Mould Metaheuristic for optimization and robot path planning
Unsupervised contrastive learning using out-of-distribution data for long-tailed dataset
Salient environmental sound detection framework for machine awareness
Neighbor importance-aware graph collaborative filtering for item recommendation
Neurocomputing for internet of things: Object recognition and detection strategy
Kernel based latent semantic sparse hashing for large-scale retrieval from heterogeneous data sources
Optimized inverse dead-zone formation control using reinforcement learning for the nonlinear single-integrator dynamic multi-agent system
Cluster fusion based cross teaching for semi-supervised medical image segmentation
A discriminative feature set in the fast phase of spikes for sorting oligo-unit discharges of arterial baroreceptors
Modeling self-developing biological neural networks
Adaptive multi-view graph convolutional networks for skeleton-based action recognition
First-order approximation of Gram-Schmidt orthonormalization beats deflation in coupled PCA learning rules
The general critical analysis for continuous-time UPPAM recurrent neural networks
Combination of fractional FLANN filters for solving the Van der Pol-Duffing oscillator
AM-CD: Joint attention and Mamba for remote sensing image change detection
The multiplex deep latent position model for the clustering of nodes in multiview networks
Online author name disambiguation in evolving digital library
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
Adaptive dynamic programming based robust control of nonlinear systems with unmatched uncertainties
Spatiotemporal salient object detection based on distance transform and energy optimization
Finite-time synchronization of the complex dynamical network with non-derivative and derivative coupling
Variance-constrained resilient H ∞ filtering for time-varying nonlinear networked systems subject to quantization effects
AMC-Net: Attentive modality-consistent network for visible-infrared person re-identification
Finite-time synchronization of neutral complex networks with Markovian switching based on pinning controller
Exponential synchronization of neural networks with time-varying mixed delays and sampled-data
Human computer interactions for converting color images to gray
VDMPO: Policy optimization for cooperative multi-agent reinforcement learning based on joint value decomposition
Batch-agnostic dynamic GNN for mitigating temporal discontinuity
Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007)
State estimation for neural networks with two additive time-varying delay components using delay-product-type augmented Lyapunov-Krasovskii functionals
Color face recognition by PCA-like approach
Transformers and CNNs fusion network for salient object detection
SportSummarizer: A unified multimodal fusion transformer for context-aware sports video summarization
FBSN: A hybrid fine-grained neural network for biomedical event trigger identification
"I do not know! but why?" - Local model-agnostic example-based explanations of reject
Spatial and channel level feature redundancy reduction for differentiable neural architecture search
Dynamic supervised classification method for online monitoring in non-stationary environments
Brain-like contour detector following Retinex theory and Gestalt perception grouping principles
Less conservative delay-dependent stability criteria for neural networks with time-varying delays
Multiple periodic solutions of delayed competitive neural networks via functional differential inclusions
Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation
Employing the Friedrichs' inequality to ensure global exponential stability of delayed reaction-diffusion neural networks with nonlinear boundary conditions
Training very deep neural networks: Rethinking the role of skip connections
MOGPTK: The multi-output Gaussian process toolkit
Computational intelligence and bioinspired systems
Learning with privileged information for photo aesthetic assessment
Analysis and design of associative memories based on recurrent neural network with discontinuous activation functions
Distributed data-driven iterative learning point-to-point consensus tracking control for unknown nonlinear multi-agent systems
Stability analysis of a discrete Hopfield neural network with delay
A bio-inspired hardware implementation of an analog spike-based hippocampus memory model
CoHomo: A cluster-attribute correlation aware graph clustering framework
Efficient distributed algorithm of dynamic task assignment for swarm robotics
Special issue on hybrid artificial intelligence systems from HAIS 2019 conference
A combined computational and intracellular study of correlated synaptic bombardment in neocortical pyramidal neurons in vivo
Graph learning and its advancements on large language models: A holistic survey
IMFR-Net: Interval Measurement and Full Recovery Network for video compressive sensing
Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function
Cooperative supervised and unsupervised learning algorithm for phoneme recognition in continuous speech and speaker-independent context
Multi-step prediction of pulmonary infection with the use of evolutionary fuzzy cognitive maps
An improved maximum spread algorithm with application to complex-valued RBF neural networks
Comparison of optimal and suboptimal spike sorting algorithms to theoretical limits
Implicit expression recognition enhanced table-filling for aspect sentiment triplet extraction
Gray scale potential: A new feature for sparse image
Simulation of metabotropic glutamate receptor induced effects in the lamprey CPG
An MVPA method based on sparse representation for pattern localization in fMRI data analysis
Guest Editorial: Special issue on advanced methods in optimization and Machine learning for heterogeneous data analytics
Time series prediction competition: The CATS benchmark
Image restoration from patch-based compressed sensing measurement
Learning scene-vectors for remote sensing image scene classification
Distributed leader-following formation control for multiple nonholonomic mobile robots via bioinspired neurodynamic approach
A selective fuzzy ARTMAP ensemble and its application to the fault diagnosis of rolling element bearing
A process monitoring method based on noisy independent component analysis
Special issue on intelligent and autonomous systems
Correlation-based switching mean teacher for semi-supervised medical image segmentation
Fingerprints verification based on their spectrum
Incorporating token-level dictionary feature into neural model for named entity recognition
Dissipativity and exponential state estimation for quaternion-valued memristive neural networks
MambaTSR: You only need 90k parameters for traffic sign recognition
Correlation filters based on spatial-temporal Gaussion scale mixture modelling for visual tracking
Local statistical deformation models for deformable image registration
A multi-path adaptive fusion network for multimodal brain tumor segmentation
A density-based noisy graph partitioning algorithm
An adaptive policy gradient in learning Nash equilibria
Power and the limits of reactive agents
RegionDiffusion: Generative data augmentation for object detection with diffusion models
Optimal learning in artificial neural networks: A review of theoretical results
Dual battery management for renewable energy integration in EV charging stations
Stability analysis on state-dependent impulsive Hopfield neural networks via fixed-time impulsive comparison system method
Non-fragile chaotic synchronization for discontinuous neural networks with time-varying delays and random feedback gain uncertainties
A new RAIM algorithm based on multivariate cumulative sum and its improvement
Geometric and semantic analysis of road image sequences for traffic scene construction
High-security image steganography integrating multi-scale feature fusion with residual attention mechanism
Unsupervised deep clustering via adaptive GMM modeling and optimization
A survey of dynamic pickup and delivery problems
Integration of deep feature representations and handcrafted features to improve the prediction of N 6 -methyladenosine sites
PcmNet: Position-sensitive context modeling network for temporal action localization
A novel image encryption algorithm based on chaos and Line map
Proposition of cortical connectivity between 30 cytoarchitectural areas of human cerebral cortex
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks
Long short-term memory self-adapting online random forests for evolving data stream regression
Cell-splitting grid: a self-creating and self-organizing neural network
Enhancing visual tracking with multi-scale cross-correlation and progressive attention
A self-organizing neural architecture integrating desire, intention and reinforcement learning
Towards point cloud completion: Point Rank Sampling and Cross-Cascade Graph CNN
On the use of self-organizing maps to accelerate vector quantization
An improved constrained ICA with reference based unmixing matrix initialization
Online sequential extreme learning machine with kernels for nonstationary time series prediction
Stable learning laws design for long short-term memory identifier for uncertain discrete systems via control Lyapunov functions
A collaborative network via multi-head sparse and high-low frequency interaction for hyperspectral image classification
UniAD: Unified cross-modal prompt regularization for zero-shot anomaly detection across domains
Optimized Category Relation and category individuation for source-free domain adaptation
Supervised Dirichlet Process Mixtures of Principal Component Analysis
Image restoration using variational PDE-based neural network
On the development of a robust, fast and lightweight keypoint descriptor
Predicting the topology of dynamic neural networks for the simulation of electronic circuits
Adaptive population sizing for multi-population based constrained multi-objective optimization
Chinese metaphor sentiment computing via considering culture
Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications
An evolving neuro-fuzzy technique for system state forecasting
Partially supervised anchored neighborhood regression for image super-resolution through FoE features
A novel rotation adaptive object detection method based on pair Hough model
High performance training of feedforward and simple recurrent networks
QoS prediction for smart service management and recommendation based on the location of mobile users
The memory degradation based online sequential extreme learning machine
ARIoU: Anchor-free Rotation-decoupling IoU-based optimization for 3D object detection
Mind the jumps: A scalable robust local Gaussian process for multidimensional response surfaces with discontinuities
Learning accurate neighborhood- and self-information for higher-order relation prediction in Heterogeneous Information Networks
A real-time FPGA implementation of a biologically inspired central pattern generator network
Identification of the human-oriented factors influencing AERC from the Web services
Iterative BTreeNet: Unsupervised learning for large and dense 3D point cloud registration
A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views
Self-adversarial variational autoencoder with spectral residual for time series anomaly detection
A neural network training algorithm utilizing multiple sets of linear equations
Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification
A neural network-based tool for preventive control of voltage stability in multi-area power systems
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting
Pinning adaptive synchronization of general time-varying delayed and multi-linked networks with variable structures
Fine-grained image analysis via progressive feature learning
Smart surgical control under RCM constraint using bio-inspired network
Neural mechanism underlying risk attitude and probability distortion: One two-stage model of valuation and choice
Adaptive group sparse representation in fetal echocardiogram segmentation
A Pareto-smoothing method for causal inference using generalized Pareto distribution
Joint distribution matching embedding for unsupervised domain adaptation
Industrial image classification using a randomized neural-net ensemble and feedback mechanism
iFALCON: A neural architecture for hierarchical planning
Escape rate models for noisy integrate-and-free neurons
Further improvement in delay-dependent stability criteria for continuous-time systems with time-varying delays
Data-driven simulation of pedestrian collision avoidance with a nonparametric neural network
Improved Delay-dependent Robust Stability Analysis for Neutral-type Uncertain Neural Networks with Markovian jumping Parameters and Time-varying Delays
MOEA/UE: A novel multi-objective evolutionary algorithm using a uniformly evolving scheme
Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays
Brightness image segmentation by a neuron-like network
When multi-view classification meets ensemble learning
Sequence generative adversarial nets with a conditional discriminator
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification
Multi-view semi-supervised web image classification via co-graph
Exponential stability of Hopfield neural networks with conformable fractional derivative
How do you smile? Towards a comprehensive smile analysis system
Robust principal component analysis via optimal mean by joint ℓ 2, 1 and Schatten p -norms minimization
A K-PLSR-based color correction method for TCM tongue images under different illumination conditions
Computational and neural mechanisms of task switching
An approach to forecasting and filtering noise in dynamic systems using LSTM architectures
A first look at temporal bias in industrial image datasets
Categorization of Gerbil auditory fiber responses
Robustly adaptive synchronization for stochastic Markovian neural networks of neutral type with mixed mode-dependent delays
A framework for least squares nonnegative matrix factorizations with Tikhonov regularization
Neural networks-based data hiding in digital images: Overview
Neuro-wavelet classifiers for EEG signals based on rough set methods
Distributed bipartite tracking consensus of nonlinear multi-agent systems with quantized communication
A density variation and inverse outliers clustering algorithm for datasets with large density differences
Contour detection model with multi-scale integration based on non-classical receptive field
Integrated adaptive communication in multi-agent systems: Dynamic topology, frequency, and content optimization for efficient collaboration
Circle formation control of second-order multi-agent systems with bounded measurement errors
Information-preserving feature filter for short-term EEG signals
Existence and exponential stability of periodic solution for stochastic Hopfield neural networks on time scales
Exploration tuned reinforcement function
Exponential synchronization of delayed memristor-based neural networks with stochastic perturbation via nonlinear control
Swin transformer for fast MRI
Neural learning for distributions on categorical data
Constructing a multi-class classifier using one-against-one approach with different binary classifiers
Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning
Adaptive finite-time prescribed performance tracking control for hydraulic servo systems with friction compensation
Finite time dual neural networks with a tunable activation function for solving quadratic programming problems and its application
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions
Commonsense-based adversarial learning framework for zero-shot stance detection
Advancements in radiomics: A comprehensive survey of feature types and their correlation on modalities and regions
A weight-sharing based RGB-T image semantic segmentation network with hierarchical feature enhancement and progressive feature fusion
Event-triggering H∞ synchronization for discrete time switched complex networks via the quasi-time asynchronous controller
Robust kernel discriminant analysis and its application to feature extraction and recognition
Density-aware few-parametric networks for robust few-shot point cloud semantic segmentation
Semi-supervised classification with Laplacian multiple kernel learning
Quasi-newton method for L P multiple kernel learning
A comparison of evolution strategies and backpropagation for neural network training
EiCoM: Multi-modal knowledge graph completion with enhanced information completeness
A distributed model of the saccadic system: The effects of internal noise
An ensemble approach for supporting the respiratory isolation of presumed tuberculosis inpatients
How many clusters? A robust PSO-based local density model
Fast image quality assessment via supervised iterative quantization method
Relative transformation-based neighborhood optimization for isometric embedding
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with prior knowledge
CBFNet: Constraint balance factor for semantic segmentation
Adaptive neural output feedback control for stochastic nonlinear time-delay systems with input and output quantization
Semi-supervised deep extreme learning machine for Wi-Fi based localization
Optimization of neural network with wavelet transform and improved data selection using bat algorithm for short-term load forecasting
Low-complexity distributed multi-view video coding for wireless video sensor networks based on compressive sensing theory
FGA-YOLO: A one-stage and high-precision detector designed for fine-grained aircraft recognition
Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy
A block cipher based on chaotic neural networks