yusuke1997/dblp-id-title huggingface dataset:
Control of burst proportion and frequency range by drive-dependent modulation of adaptation
Measuring ensemble consistency without measuring tuning curves
Robust decomposition with guaranteed robustness for cellular neural networks implementing an arbitrary Boolean function
An analysis of the use of Hebbian and Anti-Hebbian spike time dependent plasticity learning functions within the context of recurrent spiking neural networks
Lip landmark-based audio-visual speech enhancement with multimodal feature fusion network
The NN-Stacking: Feature weighted linear stacking through neural networks
Network model of synaptic modification induced by time-structured stimuli in the hippocampal CA1 area
AOG-LSTM: An adaptive attention neural network for visual storytelling
Adaptive bipartite output containment control of heterogeneous multi-agent systems with leaders bounded unknown inputs
Two-stage model re-optimization and application in face recognition
Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation
Component-Coordinated and Uncertainty-Enhanced LoRA for Few-shot Source-Free Domain Adaptive Object Detection
Bias-reduced hindsight experience replay with virtual goal prioritization
Streaking artifacts suppression for cone-beam computed tomography with the residual learning in neural network
Doubly periodic traveling waves in cellular neural networks with polynomial reactions
Neural network adaptation process effectiveness dependent of constant training data availability
New Aspects in Neurocomputing
Rapido: Scaling blockchain with multi-path payment channels
Towards accurate HDR imaging with learning generator constraints
A dual Laplacian framework with effective graph learning for unified fair spectral clustering
A commonality-based enhancement for sentence modeling with supervision
Special issue on deep learning in distributed and networked complex systems
Security estimation under Denial-of-Service attack with energy constraint
Orthogonal-least-squares regression: A unified approach for data modelling
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm
Self-triggered leader-following consensus of multi-agent systems with input time delay
Neural network based optimization approach for energy demand prediction in smart grid
Finding robust and influential nodes from networks under cascading failures using a memetic algorithm
Self-supervised 3D human pose estimation from video
Video object segmentation based on supervoxel for multimedia corpus construction
Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series
Learning longer-term dependencies via grouped distributor unit
Hypergraph-based multi-example ranking with sparse representation for transductive learning image retrieval
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm
AM-EEGNet: An advanced multi-input deep learning framework for classifying stroke patient EEG task states
An enhancement method for X-ray image via fuzzy noise removal and homomorphic filtering
Modified constructive backpropagation for regression
Model-free anti-disturbance tracking control for high-order discrete-time nonlinear system based on concurrent learning extended state observer
New result for generalized neural networks with additive time-varying delays using free-matrix-based integral inequality method
Detection based object labeling of 3D point cloud for indoor scenes
News-driven stock prediction via noisy equity state representation
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
A deep learning framework for time series classification using Relative Position Matrix and Convolutional Neural Network
Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation
Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors
Collaborative deep recommendation with global and local item correlations
Echo state networks regulated by local intrinsic plasticity rules for regression
Learning of limit cycles in discrete-time neural network
Weakly supervised segmentation via instance-aware propagation
Identification of spatial and temporal features of EEG
Feature-preserving ultrasound speckle reduction via L 0 minimization
Image quality assessment: A sparse learning way
Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task
Liquid state machine built of Hodgkin-Huxley neurons and pattern recognition
MPAN: Multi-parallel attention network for session-based recommendation
Urban scene based Semantical Modulation for Pedestrian Detection
An empirical study to investigate oversampling methods for improving software defect prediction using imbalanced data
Multi-view unsupervised feature selection based on graph discrepancy learning
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses
Revisiting intelligent audit from a data science perspective
A robust regression method based on exponential-type kernel functions
SEG-Doc: A simple yet efficient graph neural network framework for document key information extraction
On the approximation capability of recurrent neural networks
A fast online multivariable identification method for greenhouse environment control problems
Training ANFIS structure using simulated annealing algorithm for dynamic systems identification
Wave emitting and propagation induced by autapse in a forward feedback neuronal network
Classification by semi-supervised discriminative regularization
Self-organizing maps for outlier detection
Finding optimal classifiers for small feature sets in genomics and proteomics
Guiding supervised topic modeling for content based tag recommendation
DI2L: Cross-modality person re-identification with discriminative feature and information-balanced identity learning
Robust fuzzy adaptive funnel control of nonlinear systems with dynamic uncertainties
Accurate dynamical models of interneuronal GABAergic channel physiologies
The boundedness of high-order Hopfield neural networks with variable delays
Local regularization assisted orthogonal least squares regression
A fast human action recognition network based on spatio-temporal features
A cellular model of directionally selective visual motion detection in crayfish tangential cells
Learning more distinctive representation by enhanced PCA network
Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO
Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons
Video saliency prediction for First-Person View UAV videos: Dataset and benchmark
Observer-based robust composite adaptive fuzzy control by uncertainty estimation for a class of nonlinear systems
A memristor-based neural network circuit with synchronous weight adjustment
A new minimalist time series reduction technique
Unsupervised video summarization using cluster analysis for automatic vehicles counting and recognizing
Object tracking in videos using adaptive mixture models and active contours
Reducing noise-triplets via differentiable sampling for knowledge-enhanced recommendation with collaborative signal guidance
Successive learned image compression: Comprehensive analysis of instability
Generic network for domain adaptation based on self-supervised learning and deep clustering
Robust IoT time series classification with data compression and deep learning
Geometric shape analysis based finger vein deformation detection and correction
Lightweight channel-topology based adaptive graph convolutional network for skeleton-based action recognition
Critical dynamics study on recurrent neural networks: Globally exponential stability
Adjustable privacy using autoencoder-based learning structure
Cross-media retrieval by exploiting fine-grained correlation at entity level
Evaluation of constructive neural networks with cascaded architectures
A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision
Ontogenic neuro-fuzzy algorithm: F-CID3
Enhancing Performance of 3D Point Completion Network using Consistency Loss
A 3D undulatory locomotion model inspired by C. elegans through DNN approach
A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution
Convergence properties of quantum evolutionary algorithms on high dimension problems
An improved competitive Hopfield network with inhibitive competitive activation mechanism for maximum clique problem
A self adaptive harmony search based functional link higher order ANN for non-linear data classification
MRCDRL: Multi-robot coordination with deep reinforcement learning
A fully trainable network with RNN-based pooling
Symplectic interactive support matrix machine and its application in roller bearing condition monitoring
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting
Note on interpolation on the hypercube by means of sigma-pi neural networks
An analysis of connectivity and function in hippocampal associative memory
Guest Editorial: Special issue on neural networks-based reinforcement learning control of autonomous systems
Causal effect analysis for fuzzy cognitive maps designed with non-singleton fuzzy numbers
Comment on "Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition"
Decision Tree SVM: An extension of linear SVM for non-linear classification
Design of impulsive controllers and impulsive control strategy for the Mittag-Leffler stability behavior of fractional gene regulatory networks
Hybrid learning machines
Unsupervised super resolution using dual contrastive learning
Asynchronous consensus of second-order multi-agent systems with impulsive control and measurement time-delays
Modelling the development of cortical systems networks
Adaptive neural backstepping control for flexible-joint robot manipulator with bounded torque inputs
A generic neural network for multi-modal sensorimotor learning
Real-time event embedding for POI recommendation
Online learning: A comprehensive survey
Dynamic subspace dual-graph regularized multi-label feature selection
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing
Multi-fidelity reinforcement learning with control variates
OFMAD-TC: A tropical cyclone detection method with optical flow and morphology awareness
Unimodal regularized neuron stick-breaking for ordinal classification
A publishing scheme for high-dimensional graph data under personalized local differential privacy
Fully-distributed dynamic event-triggered optimized backstepping bipartite consensus control based on neural network observer and reinforcement learning
Heterogeneous model parallelism for deep neural networks
Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods
Object detection by color histogram-based fuzzy classifier with support vector learning
Synchronization of stochastic genetic oscillator networks with time delays and Markovian jumping parameters
Enhanced random search based incremental extreme learning machine
A subspace predictive control method for partially unknown systems with parameter learning event-triggered law
BMTM-net: A rotating machinery fault diagnosis network based on 2D-1D fusion with bidirectional multi-granularity transformer-mamba
MLP iterative construction algorithm
A reduced-order approach to filtering for systems with linear equality constraints
A nonnegative sparse representation based fuzzy similar neighbor classifier
Neural network models for supporting drug and multidrug resistant tuberculosis screening diagnosis
Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection
DualAug: Exploiting additional heavy augmentation with OOD data rejection
Pairwise attention network for cross-domain image recognition
Extraction of a source signal whose kurtosis value lies in a specific range
Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification
Theoretical properties and implementation of the one-sided mean kernel for time series
Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization
RefFaceNet: Reference-based Face Image Generation from Line Art Drawings
Self-organizing techniques to improve the decentralized multi-task distribution in multi-robot systems
A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
Efficient online recurrent connectionist learning with the ensemble Kalman filter
Feature selection with multi-class logistic regression
Residual inpainting using selective free-form attention
Ensemble of online sequential extreme learning machine
Multistability and multiperiodicity of high-order competitive neural networks with a general class of activation functions
Efficient deep network for vision-based object detection in robotic applications
Adaptive optimal controller design for a class of LDI-based neural network systems with input time-delays
MSE-LAM: Multi-scale emotion recognition network based on local attention mask
Global exponential stability of Cohen-Grossberg neural networks with distributed delays
Information capacity of binary weights associative memories
Distributed recursive filtering for discrete time-delayed stochastic nonlinear systems based on fuzzy rules
Multiple resonances with time delays and enhancement by non-Gaussian noise in Newman-Watts networks of Hodgkin-Huxley neurons
FDNet: Imperceptible backdoor attacks via frequency domain steganography and negative sampling
Global scaling of synaptic efficacy: Homeostasis in silicon synapses
Controlling a chaotic neural network for information processing
Adaptive optimal consensus of nonlinear multi-agent systems with unknown dynamics using off-policy integral reinforcement learning
A support vector machine classifier with automatic confidence and its application to gender classification
H ∞ state estimation for two-dimensional systems with randomly occurring uncertainties and Round-Robin protocol
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
An extreme case of the generalized optimal discriminant transformation and its application to face recognition
Finite-time synchronization of delayed neural networks with Cohen-Grossberg type based on delayed feedback control
A comprehensive review of community detection in graphs
The Markov selection model for concurrent speech recognition
No-reference image quality assessment for photographic images based on robust statistics
Optimal innovation-based deception attacks with side information against remote state estimation in cyber-physical systems
Correlations modulate the non-monotonic response of a neuron with short-term plasticity
Combining visual and textual features for medical image modality classification with ℓ p -norm multiple kernel learning
Consensus problem in multi-agent systems under delayed information
Direct simplification for kernel regression machines
Robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays
Time series prediction with ensemble models applied to the CATS benchmark
Detection of double compression in MPEG-4 videos based on block artifact measurement
Phase-adaptive multi-phase enhancement-aware liver tumor segmentation with curriculum prioritization learning
A novel face recognition approach based on kernel discriminative common vectors (KDCV) feature extraction and RBF neural network
New approaches for spectro-temporal feature extraction with applications to respiratory sound classification
Novel robust exponential stability criteria for neural networks
ASPCNet: Deep adaptive spatial pattern capsule network for hyperspectral image classification
Multi-view metric learning based on KL-divergence for similarity measurement
Facial depth descend: A generation paradigm for facial depth map
Spike-timing dependent plasticity as a mechanism for ocular dominance shift
Joint multi-grained similarity contrastive learning for video-text retrieval
Dual reference age synthesis
SIST: Online Scale-Adaptive Object tracking with Stepwise Insight
SCGC : Self-supervised contrastive graph clustering
A generative AI model for modelling and creating an emotion-aware database: Design, and analytics
Lagrange stability of delayed switched inertial neural networks
Weighted kernel mapping model with spring simulation based watershed transformation for level set image segmentation
GlobalLight: Exploring global influence in multi-agent deep reinforcement learning for large-scale traffic signal control
Multi-view feature selection via Nonnegative Structured Graph Learning
Adaptive neural control for a class of stochastic nonlinear systems with unknown parameters, unknown nonlinear functions and stochastic disturbances
Graph based transductive learning for cartoon correspondence construction
Multi-Path Feature Enhancement Network for real-time semantic segmentation
Multi-model-based transferable and imperceptible 3D adversarial attack
An adaptive approach for texture enhancement based on a fractional differential operator with non-integer step and order
The extension of multivariate synchronization index method for SSVEP-based BCI
Stable lamprey swimming on a skeleton of unstable periodic orbits
Point cloud feature consistency learning for incomplete 3D face recognition
Scalable, accurate image annotation with joint SVMs and output kernels
Prediction of cardiovascular diseases using weight learning based on density information
Space-time signal binding in recurrent neural networks with controlled elements
Distributed fixed-time leader-following consensus tracking control for nonholonomic multi-agent systems with dynamic uncertainties
Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring
Observer-based fully distributed bipartite consensus of multiagent systems with disturbance rejection
Internetplattform Neuroinformatik: a pilot study for the OECD neuroinformatics portal
Neural networks for power systems alarm handling
LRSR: Low-Rank-Sparse representation for subspace clustering
Molecular generative Graph Neural Networks for Drug Discovery
Self-supervised data augmentation for person re-identification
V-LPDR: Towards a unified framework for license plate detection, tracking, and recognition in real-world traffic videos
Mode-dependent guaranteed cost event-triggered synchronization for singular semi-markov jump neural networks with time delays
Psychologically inspired visual information storage and retrieval modeling for multiclass image classification
A proposal for the development of adaptive spoken interfaces to access the Web
An optimized fuzzy deep learning model for data classification based on NSGA-II
Implementation of a CNN-based retinomorphic model on a high performance reconfigurable computer
Couple-group consensus for heterogeneous MASs under switched topologies in cooperative-competitive systems: A hybrid pinning and delta operator skills
User intent disentanglement for multi-behavior recommendation via information bottleneck principle
Improving robustness of deep neural networks via large-difference transformation
Multi-column point-CNN for sketch segmentation
Nonlinear system control based on multi-resolution radial-basis competitive and cooperative networks
Local similarity preserved hashing learning via Markov graph for efficient similarity search
New result on synchronization of complex dynamical networks with time-varying coupling delay and sampled-data control
Locally adaptive multiple kernel clustering
Hierarchical sparse representation with deep dictionary for multi-modal classification
Aircraft recognition using modular extreme learning machine
Neural networks hunt computer viruses
Robust tracking control of uncertain dynamic nonholonomic systems using recurrent neural networks
Multi-level features fusion via cross-layer guided attention for hyperspectral pansharpening
Hyperplanes for predicting protein-protein interactions
Enhancing sentiment analysis with distributional emotion embeddings
Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning
PHD-NAS: Preserving helpful data to promote Neural Architecture Search
Hebbian-based neural networks for bottom-up visual attention and its applications to ship detection in SAR images
Interactive attention and contrastive learning for few-shot relation extraction
Multistability of state-dependent switching neural networks with discontinuous nonmonotonic piecewise linear activation functions
Causal reasoning by evaluating the complexity of conditional densities with kernel methods
Unsupervised pixel-level video foreground object segmentation via shortest path algorithm
A neural network theory for constrained optimization
Multi-type spectral spatial feature for hyperspectral image classification
Independent component analysis based on gradient equation and kernel density estimation
Training support vector machines based on stacked generalization for image classification
Optimal topology for consensus using genetic algorithm
H ∞ control of interval Type-2 fuzzy logic system with time-delay partition method
Lagrange stability of memristive quaternion-valued neural networks with neutral items
New results on passivity analysis of memristor-based neural networks with time-varying delays
1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick
Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling
Merging visual features and temporal dynamics in sequential recommendation
ToFFi - Toolbox for frequency-based fingerprinting of brain signals
STAR: A session-based time-aware recommender system
Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints
Improved passivity criteria for memristive neural networks with interval multiple time-varying delays
MAENet: A novel multi-head association attention enhancement network for completing intra-modal interaction in image captioning
International Conference on Neural Information Processing (ICONIP 2006)
Robustness analysis and design of a class of neural networks with sparse interconnecting structure
A genetic algorithm for solving the inverse problem of support vector machines
Deep echo state network with projection-encoding for multi-step time series prediction
Generalizing event-based HDR imaging to various exposures
Incremental episodic segmentation and imitative learning of humanoid robot through self-exploration
Transmission map and background light guided enhancement of unpaired underwater image
Exponential stability analysis of quaternion-valued neural networks with proportional delays and linear threshold neurons: Continuous-time and discrete-time cases
A memristor-based circuit design of pavlov associative memory with secondary conditional reflex and its application
Semi-supervised deep embedded clustering
Multiobjective ResNet pruning by means of EMOAs for remote sensing scene classification
Neural network learning for analog VLSI implementations of support vector machines: a survey
CR-FND: Robustness-enhanced multimodal fake news detection against content variance
Positive invariant sets and global exponential attractive sets of BAM neural networks with time-varying and infinite distributed delays
A regularized estimation framework for online sparse LSSVR models
Boundary detection and sample reduction for one-class Support Vector Machines
JRC: Deepfake detection via joint reconstruction and classification
Minimizing learning experiences in embodied agents language and action learning
Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era