yusuke1997/dblp-id-title huggingface dataset:
DVVDNet: A dual-view vertebra detection network with anatomical constraints for automatic scoliosis assessment
Neural networks with local distributed parameters
An affine invariant discriminate analysis with canonical correlation analysis
Periodicity of Cohen-Grossberg-type fuzzy neural networks with impulses and time-varying delays
A coarse-to-fine capsule network for fine-grained image categorization
Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation
Aperiodically intermittent strategy for finite-time synchronization of delayed neural networks
A review of advancements in low-light image enhancement using deep learning
Deep learning-based image encryption techniques: Fundamentals, current trends, challenges and future directions
ELM based architecture for general purpose automatic weight and structure learning
A federated learning incentive mechanism in a non-monopoly market
Impulsive synchronization of two coupled delayed reaction-diffusion neural networks using time-varying impulsive gains
Neural-fuzzy control of truck backer-upper system using a clustering method
LAAP: Learning the Argument of An Entity with Event Prompts for document-level event extraction
Feature selection using Decomposed Mutual Information Maximization
Probabilistic rounding in neural network learning with limited precision
Symmetric low-rank preserving projections for subspace learning
LOAD: Local orientation adaptive descriptor for texture and material classification
Identification of Cassin's Vireo (Vireo cassinii) individuals from their acoustic sequences using an ensemble of learners
Group search optimizer based optimal location and capacity of distributed generations
An adaptive line search scheme for approximated nuclear norm based matrix regression
RDNet: Region specific iterative deformation with multi-scale attention for medical image registration
Conv-Enhanced Transformer and Robust Optimization Network for robust multimodal sentiment analysis
FPGA-based hardware accelerator for the prediction of protein secondary class via fuzzy K-nearest neighbors with Lempel-Ziv complexity based distance measure
Stability of asynchronous firing states in networks with synaptic adaptation
Adaptive fuzzy discrete-time fault-tolerant control for permanent magnet synchronous motors based on dynamic surface technology
Scalable cortical simulations on Beowulf architectures
Training wavelet networks for nonlinear dynamic input-output modeling
Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM
Dynamical properties of continuous attractor neural network with background tuning
A hybrid collaborative filtering model for social influence prediction in event-based social networks
Analysis and pinning control for passivity of multi-weighted complex dynamical networks with fixed and switching topologies
Improving the accuracy of long-term travel time prediction using heterogeneous ensembles
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure
Wavenumber power spectrum of the EEG, ECoG, and ERP
A deep learning-based Monte Carlo simulation scheme for stochastic differential equations driven by fractional Brownian motion
Effect of variation in gesticulation pattern in dynamic hand gesture recognition system
Multi-level magnification correlation hashing for scalable histopathological image retrieval
Anchor-based incomplete multi-view spectral clustering
Beneficial and flowing: Omni efficient feature aggregation network for image super-resolution
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks
Extreme learning machine towards dynamic model hypothesis in fish ethology research
A hierarchical scheme for remaining useful life prediction with long short-term memory networks
Identity-constrained noise modeling with metric learning for face anti-spoofing
A new model to optimize the architecture of a fault-tolerant modular neurocomputer
Unsupervised cross domain semantic segmentation with mutual refinement and information distillation
A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis
Adaptive event-triggered H∞ filtering for T-S fuzzy system with time delay
Cloning DRASiW systems via memory transfer
Dendritic effects in networks of electrically coupled fast-spiking interneurons
stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics
Towards computational analytics of 3D neuron images using deep adversarial learning
A fake news detection framework integrating multi-domain and multimodal features
Improved AdaBoost algorithm using misclassified samples oriented feature selection and weighted non-negative matrix factorization
Adaptive incremental learning in neural networks
Dynamics of neuronal populations modeled by a Wilson-Cowan system account for the transient visibility of masked stimuli
Design of an incremental Extended Kalman Filter group for a class of multiplicatively decomposed strongly nonlinear systems considering hidden state variables
Face recognition using second-order discriminant tensor subspace analysis
Observer-based PID control for actuator-saturated systems under binary encoding scheme
Asynchronous neurocomputing for optimal control and reinforcement learning with large state spaces
Anatomically and experimentally based neural networks modeling force coordination in static multi-finger tasks
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding
Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems
MRSLN: A Multimodal Residual Speaker-LSTM Network to alleviate the over-smoothing issue for Emotion Recognition in Conversation
Boosting accuracy of student models via Masked Adaptive Self-Distillation
Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method
Data-driven crowd evacuation: A reinforcement learning method
Attributed network community detection based on graph contrastive learning and multi-objective evolutionary algorithm
DCPE co-training for classification
G-Prop: Global optimization of multilayer perceptrons using GAs
Triplet-based spike timing dependent plasticity (TSTDP) modeling using VHDL-AMS
Parametric improvement of lateral interaction in accumulative computation in motion-based segmentation
Industrial and medical anomaly detection through cycle-consistent adversarial networks
Architectures, variants, and performance of neural operators: A comparative review
A bio-inspired motion sensitive model and its application to estimating human gaze positions under classified driving conditions
Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization
Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient
CASINet: Content-Adaptive Scale Interaction Networks for scene parsing
Non-Gaussian noise quadratic estimation for linear discrete-time time-varying systems
A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter
Multi-supervision transformer combining bounding box and mask for data-limited pose estimation
PRG-Net: Point Relationship-Guided Network for 3D human action recognition
Decentralized event-triggered adaptive neural network control for nonstrict-feedback nonlinear interconnected systems with external disturbances against intermittent DoS attacks
Spatio-temporal decorrelated activity patterns in functional MRI data during real and imagined motor tasks
Person re-identification via hypergraph-based matching
Intermittent sampled-data synchronization of delayed reaction-diffusion neural networks
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks
Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture
The Laplacian polynomial and Kirchhoff index of graphs based on R-graphs
Meta-learning for few-shot bearing fault diagnosis under complex working conditions
Prior-based bayesian pairwise ranking for one-class collaborative filtering
An abnormal event detection method based on the Riemannian manifold and LSTM network
Beyond convolution: A morphology-guided quantum-inspired attention UNet for medical image segmentation
Adaptive neural control for strict-feedback stochastic nonlinear systems with time-delay
HuRAI: A brain-inspired computational model for human-robot auditory interface
Classification and generation of real-world data with an associative memory model
Corrigendum to "Supervised latent Dirichlet allocation with a mixture of sparse softmax" [Neurocomputing, volume 312, 27 October 2018, Pages 324-335]
Folksonomy-based user profile enrichment using clustering and community recommended tags in multiple levels
Robust decentralized adaptive control for stochastic delayed Hopfield neural networks
Observer-based consensus for nonlinear multi-agent systems with intermittent communication
Leveraging multi-time-span sequences and feature correlations for improved stock trend prediction
tGeCoNet: a framework for constructing temporal gene co-expression networks
Modeling cortical maps with Topographica
Exponential stability of complex-valued neural networks with mixed delays
Cluster trees of improved trajectories for action recognition
A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling
Discriminative information preservation for face recognition
Two channel event-triggering communication schemes for networked control systems
A color pattern recognition problem based on the multiple classes random neural network model
Progressive low-confidence pseudolabeling for semisupervised node classification
Handling occlusions in augmented reality based on 3D reconstruction method
Adaptive control of a class of switched nonlinear discrete-time systems with unknown parameter
Fractional discrete-time of Hegselmann-Krause's type consensus model with numerical simulations
Generating diverse chinese poetry from images via unsupervised method
MicroNeuro'96, February 12-14, 1996, Lausanne, Switzerland
Time-varying group formation analysis and design for second-order multi-agent systems with directed topologies
Neighborhood geometry based feature matching for geostationary satellite remote sensing image
Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker
Optical flow estimation using channel attention mechanism and dilated convolutional neural networks
Deep Learning Clusters in the Cognitive Packet Network
A fast approximate algorithm for training L 1 -SVMs in primal space
Dynamic temporal decorrelation: An information-theoretic and biophysical model of the functional role of the lateral geniculate nucleus
Event-triggered reinforcement learning control for the quadrotor UAV with actuator saturation
Filter design of delayed static neural networks with Markovian jumping parameters
Dual representations: A novel variant of Self-Supervised Audio Spectrogram Transformer with multi-layer feature fusion and pooling combinations for sound classification
Impulsive effects on stability of discrete-time complex-valued neural networks with both discrete and distributed time-varying delays
An efficient and robust varying-parameter projection neural network for sparse signal reconstruction
Fuzzy clustering approach in unsupervised sea-ice classification
CrossFingerprint: A multi-level fusion network for 3D fingerprint verification
Brain-computer interface (BCI)-generated speech to control domotic devices
Dual frame-level and region-level alignment for unsupervised video domain adaptation
Modeling neural spatiotemporal behavior
Hybrid computer vision system for drivers' eye recognition and fatigue monitoring
Few-shot learning-based RGB-D salient object detection: A case study
On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition
Meta-learning on dynamic node clustering knowledge graph for cold-start recommendation
Supervised topic models for multi-label classification
Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system
Self-supervised progressive learning for fault diagnosis under limited labeled data and varying conditions
Neural-network metamodelling for the prediction of Caulerpa taxifolia development in the Mediterranean sea
A novel Enhanced Collaborative Autoencoder with knowledge distillation for top-N recommender systems
Discrete-time Zhang neural network of O(τ 3 ) pattern for time-varying matrix pseudoinversion with application to manipulator motion generation
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model
Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors
A feature enriching object detection framework with weak segmentation loss
Transfer learning using a nonparametric sparse topic model
Spike-latency codes and the effect of saccades
Hierarchical sparse coding from a Bayesian perspective
Finite-time observer based tracking control of uncertain heterogeneous underwater vehicles using adaptive sliding mode approach
Fast and robust multiplane single-molecule localization microscopy using a deep neural network
Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit
Massively distributed digital implementation of an integrate-and-fire LEGION network for visual scene segmentation
Fault detection for nonlinear networked systems based on quantization and dropout compensation: An interval type-2 fuzzy-model method
Deep convolution network based emotion analysis towards mental health care
A model of expectation effects in inferior temporal cortex
Simulation techniques for localising and identifying the kinetics of calcium channels in dendritic neurones
Deep learning-based image super-resolution considering quantitative and perceptual quality
Two-stream transformer network for sensor-based human activity recognition
Non uniform Embedding based on Relevance Analysis with reduced computational complexity: Application to the detection of pathologies from biosignal recordings
Teacher-student knowledge distillation for real-time correlation tracking
An extended Kalman filter for input estimations in diesel-engine selective catalytic reduction applications
Variance aware reward smoothing for deep reinforcement learning
Localization-aware channel pruning for object detection
Group consensus control for discrete-time heterogeneous multi-agent systems with time delays
Independent component analysis employing exponentials of sparse antisymmetric matrices
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Observer based consensus for nonlinear multi-agent systems with communication failures
IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering network
MLGINet: An efficient network for short-term load forecasting based on multi-scale learning and local-global interactive learning
Location-dependent differences between somatic and dendritic IPSPs
Image-text bidirectional learning network based cross-modal retrieval
An efficient hidden layer training method for the multilayer perceptron
Class imbalance learning using UnderBagging based kernelized extreme learning machine
Shift and gray scale invariant features for palmprint identification using complex directional wavelet and local binary pattern
A region segmentation method for region-oriented image compression
The distribution of rewards in sensorimotor maps acquired by cognitive robots through exploration
Stability and bifurcation analysis of two-neuron network with discrete and distributed delays
Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity
Joint extraction of entities and relations by a novel end-to-end model with a double-pointer module
Real-time detection of bursts in neuronal cultures using a neuromorphic auditory sensor and spiking neural networks
Quasi-synchronization of discrete-time tempered fractional-order memristive neural networks with time delays
Discovery scientific laws by hybrid evolutionary model
Active learning with simultaneous subject and variable selections
A multi-level improved circle pooling for scene classification of high-resolution remote sensing imagery
Regaining sparsity in kernel principal components
Discriminative parts learning for 3D human action recognition
Tonically driven and self-sustaining activity in the lamprey hemicord: When can they co-exist?
Incomplete multi-view subspace clustering based on robust matrix completion
StaTDS library: Statistical tests for Data Science
Group consensus for competitive multiagent systems with input saturation and intermittent communication using current and outdated states
CSPDAE: Colorization via SuperPixel Downsampler Denoising AutoEncoder towards enhanced color structural clarity
Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach
Event-triggered state estimation for Markovian jumping neural networks: On mode-dependent delays and uncertain transition probabilities
Analog circuit fault diagnosis based UCISVM
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle
Bayesian learning for recurrent neural networks
A dual encoder LDCT image denoising model based on cross-scale skip connections
An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Prediction of protein-RNA interactions using sequence and structure descriptors
Learning control units for invariant recognition
Containment control of discrete-time general linear multi-agent systems under dynamic digraph based on trajectory analysis
Equal but different: Task allocation in homogeneous communicating robots
Sequential recognition of superimposed patterns with top-down selective attention
Transref: Multi-scale reference embedding transformer for reference-guided image inpainting
Two-stream network for infrared and visible images fusion
Bifurcation analysis in a discrete-time single-directional network with delays
Editorial preface special issue: Advances in computational intelligence with Internet of Things
Automatic iterative algorithm for image segmentation using a modified pulse-coupled neural network
Autonomous UAV based search operations using Constrained Sampling Evolutionary Algorithms
Polynomial activation neural networks: Modeling, stability analysis and coverage BP-training
CNN based sub-pixel mapping for hyperspectral images
Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings
Topic detection and tracking for conversational content by using conceptual dynamic latent Dirichlet allocation
Stacked dense networks for single-image snow removal
Robust latent low rank representation for subspace clustering
Learning of associative prediction by experience
Consequences of correlated synaptic bombardment on the responsiveness of neocortical pyramidal neurons
Spatial-temporal representatives selection and weighted patch descriptor for person re-identification
Design of consensus and cluster consensus controller for first-order nonlinear multi-agent systems based on subgroup structure
Deep multi-view learning methods: A review
Structured graph regularized shape prior and cross-entropy induced active contour model for myocardium segmentation in CTA images
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
CovGa: A novel descriptor based on symmetry of regions for head pose estimation
Multi-attention deep reinforcement learning and re-ranking for vehicle re-identification
Linearly decodable functions from neural population codes
From pedestrian to group retrieval via siamese network and correlation
State estimation for nonlinearly coupled complex networks with application to multi-target tracking
Perceptual information hiding based on multi-channel visual masking
Toward an evolvable neuromolecular hardware: a hardware design for a multilevel artificial brain with digital circuits
Prompt-guided bidirectional deep fusion network for referring image segmentation
Power system security boundary visualization using neural networks
Classroom activity recognition using hybrid 3D-CNNs and visualization of action features with Grad-CAM
Learning multi-level domain invariant features for sketch re-identification
Relationship between field potentials and spike activity in rat S1: Multi-site cortical recordings and analysis
GSNet: A new small object attention based deep classifier for presence of gun in complex scenes
Semi-supervised fault diagnosis of bearings under noisy environments with limited labeled samples
Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model
A multi-cue guidance network for depth completion
CESDet: Hard pedestrian object detection architecture based on the cognitive experience of structure of human body
Biases in feature selection with missing data
UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
Where to model the epistemic uncertainty of Bayesian convolutional neural networks for classification
Practical fixed-time event-triggered output feedback containment control for second-order nonlinear multi-agent systems with switching topologies
Consensus-based cubature information filtering for sensor networks with incomplete measurements
Object(s)-of-interest segmentation for images with inhomogeneous intensities based on curve evolution
A very deep two-stream network for crowd type recognition
Document image classification: Progress over two decades
Two-stage transfer network for weakly supervised action localization
Synchronizing non-identical time-varying delayed neural network systems via iterative learning control
UPL-Net: Uncertainty-aware prompt learning network for semi-supervised action recognition
Influence of edge weight on node proximity based link prediction methods: An empirical analysis
Neurocomputing research in The Netherlands
scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data
Compression loss-based spatial-temporal attention module for compressed video quality enhancement
Discrete time recurrent neural network architectures: A unifying review
Trust region policy optimization via entropy regularization for Kullback-Leibler divergence constraint
Effective multiscale deep learning model for COVID19 segmentation tasks: A further step towards helping radiologist
HiREN: Towards higher supervision quality for better scene text image super-resolution
Stabilized activation scale estimation for precise Post-Training Quantization
A compensation-based optimization strategy for top dense layer training
Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI
Asymptotic stability of bidirectional associative memory neural networks with time-varying delays via delta operator approach
Model predictive control of an intensified continuous reactor using a neural network Wiener model
Existence and exponential stability of almost periodic solutions for CNNs with time-varying leakage delays
Density-sensitive Robust Fuzzy Kernel Principal Component Analysis technique
New approach to stability criteria for generalized neural networks with interval time-varying delays
Detail retention and enhancement for camouflaged object detection
Face recognition using kernel entropy component analysis
A semi-supervised deep convolutional framework for signet ring cell detection
Efficiency of texture image enhancement by DCT-based filtering