yusuke1997/dblp-id-title huggingface dataset:
Projective synchronization of different chaotic neural networks with mixed time delays based on an integral sliding mode controller
Bipartite synchronization for cooperative-competitive neural networks with reaction-diffusion terms via dual event-triggered mechanism
Temporal learning of bottom-up connections via spatially nonspecific top-down inputs
Dimension reduction with meta object-groups for efficient image retrieval
Supervised deep convolutional generative adversarial networks
A network of integrate and fire neurons for visual selection
Is there a support vector machine hiding in the dentate gyrus?
Time-series discrimination using feature relevance analysis in motor imagery classification
Learning invariant local image descriptor using convolutional Mahalanobis self-organising map
Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings
Locally adaptive sparse representation on Riemannian manifolds for robust classification
Self-adaptive step fruit fly algorithm optimized support vector regression model for dynamic response prediction of magnetorheological elastomer base isolator
Recurrent spiking neural networks as models of the entorhinal-hippocampal system for path integration: Grid cells and beyond
Sparse Bayesian linear regression with latent masking variables
LTS cells in cerebral cortex and their role in generating spike-and-wave oscillations
Range space super spherical cap discriminant analysis
Recurrent reverse attention guided residual learning for saliency object detection
Effects of ion channel blocks on electrical activity of stochastic Hodgkin-Huxley neural network under electromagnetic induction
Guaranteed-performance consensus for descriptor nonlinear multi-agent systems based on distributed nonlinear consensus protocol
Coexistence of short and long term memory in a model network of realistic neurons
Unified framework for human behaviour recognition: An approach using 3D Zernike moments
Tri-relational multi-faceted graph neural networks for automatic question tagging
Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection
Boosting feature selection using information metric for classification
Adaptive neural tracking control for switched nonlinear systems with state quantization
Adaptive cluster-count selection via deep Q-learning for turbofan engine prognostics and health monitoring
Automated multi-label text categorization with VG-RAM weightless neural networks
Augmented two-side-looped Lyapunov functional for sampled-data-based synchronization of chaotic neural networks with actuator saturation
A hidden process regression model for functional data description. Application to curve discrimination
Spike communication of dynamic stimuli: rate decoding versus temporal decoding
MLP neural network-based recursive sliding mode dynamic surface control for trajectory tracking of fully actuated surface vessel subject to unknown dynamics and input saturation
Fine-grained and coarse-grained contrastive learning for text classification
The influence of threshold variability on the response of visual cortical neurons
GNN-based multi-source domain prototype representation for cross-subject EEG emotion recognition
New delay-dependent stability criteria for switched Hopfield neural networks of neutral type with additive time-varying delay components
Compact bilinear pooling via kernelized random projection for fine-grained image categorization on low computational power devices
Prescribed performance control of Euler-Lagrange systems tracking targets with unknown trajectory
SRNet: Self-supervised structure regularization for stereo matching
Joint low rank embedded multiple features learning for audio-visual emotion recognition
TMR: Towards an efficient semantic-based heterogeneous transportation media big data retrieval
Integral-based event-triggered fault estimation and impulsive fault-tolerant control for networked control systems applied to underwater vehicles
US-LIME: Increasing fidelity in LIME using uncertainty sampling on tabular data
Generalized nonlinear discriminant analysis and its small sample size problems
Semi-global leader-following output consensus for heterogeneous fractional-order multi-agent systems with input saturation via observer-based protocol
Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns
Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision
Wavelet feature extraction for high-dimensional microarray data
Reconstructing rated items from perturbed data
Please be polite: Towards building a politeness adaptive dialogue system for goal-oriented conversations
A novel extreme learning machine using privileged information
Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays
Reward fairness-based optimal distributed real-time pricing to enable supply-demand matching
Remote-sensing image retrieval with tree-triplet-classification networks
Learning soft threshold for sparse reparameterization using gradual projection operators
A survey on low speed low power axial flux generator design and optimization using simulation
A novel supervised framework for multi-video summarization: Addressing dataset biases and enhancing feature representation
An accurate slap fingerprint based verification system
Progressive correspondence learning by effective multi-channel aggregation
Reciprocal inhibition controls the oscillatory state in thalamic networks
Learning with first, second, and no derivatives: A case study in high energy physics
Maximum connectivity-based channel allocation algorithm in cognitive wireless networks for medical applications
Image super-resolution using non-local Gaussian process regression
Imperceptible rhythm backdoor attacks: Exploring rhythm transformation for embedding undetectable vulnerabilities on speech recognition
Multiple recurrent neural networks for stable adaptive control
A gain-adjustment neural network based time-varying underdetermined linear equation solving method
Supervised learning in multilayer spiking neural networks with inner products of spike trains
TransDiff: Transformer-based diffusion model for low-light image enhancement
Robust and high-security fingerprint recognition system using optical coherence tomography
Study of spatial frequency selectivity and its spatial organization in the visual cortex through a feedforward model
A new detection approach of transient disturbances combining wavelet packet and Tsallis entropy
Texture-adaptive hole-filling algorithm in raster-order for three-dimensional video applications
Cross-task feature alignment for seeing pedestrians in the dark
Deep-learning-based reading eye-movement analysis for aiding biometric recognition
Efficient redundancy reduction for open-vocabulary semantic segmentation
Transmission schedule for jointly optimizing remote state estimation and wireless sensor network lifetime
Adaptive fuzzy control with minimal leaning parameters for electric induction motors
Unknown input based observer synthesis for an interval type-2 polynomial fuzzy system with time delays and uncertainties
LSVP: A visual based deep neural direction learning model for point-of-interest recommendation on sparse check-in data
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models
A multimodal framework for sensor based sign language recognition
Apeak-CG: Automatically predicting emotion based dynamic multi-form knowledge fusion conversation generation
EC-Fake: A fake news detection model based on external knowledge and contrast-driven feature augmentation
Formal convergence analysis on deterministic ℓ1-regularization based mini-batch learning for RBF networks
Fast control optimization for switched linear systems based on harmony search algorithm
LoCH: A neighborhood-based multidimensional projection technique for high-dimensional sparse spaces
Brazilian Symposium on Neural Networks (SBRN2006)
Robust self-tuning spectral clustering
A 0.7 V low-power fully programmable Gaussian function generator for brain-inspired Gaussian correlation associative memory
Sequential input selection algorithm for long-term prediction of time series
Semi-supervised extreme learning machine with manifold and pairwise constraints regularization
Certainty-based active learning for sampling imbalanced datasets
Color segmentation by fuzzy co-clustering of chrominance color features
Representation learning of knowledge graphs with the interaction between entity types and relations
Knowledge-based hyper-parameter adaptation of multi-stage differential evolution by deep reinforcement learning
A neural network model for quadruped gait generation and transitions
Learn more from less: Generalized zero-shot learning with severely limited labeled data
Graph-based discriminative nonnegative matrix factorization with label information
Neural architectures for aggregating sequence labels from multiple annotators
A joint object detection and semantic segmentation model with cross-attention and inner-attention mechanisms
Few-labeled visual recognition for self-driving using multi-view visual-semantic representation
Understanding human activities in videos: A joint action and interaction learning approach
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
New stability condition for discrete-time fully coupled neural networks with multivalued neurons
Asynchronous H ∞ fuzzy control for a class of switched nonlinear systems via switching fuzzy Lyapunov function approach
The co-attention model for tiny activity analysis
Multi-scale and multi-pooling sparse filtering: A simple and effective representation learning method for intelligent fault diagnosis
A hybrid evolutionary decomposition system for time series forecasting
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning
Expectation maximization transfer learning and its application for bionic hand prostheses
Disturbance rejection of Central Pattern Generator based torque-stiffness-controlled dynamic walking
An accelerating scheme for destructive parsimonious extreme learning machine
Local linear transformation embedding
Combinations of generative adversarial network and reinforcement learning: A survey
Warped convolutional neural networks for large homography transformation with psl(3) algebra
AAIN: Attentional aggregative interaction network for deep learning based recommender systems
Demonstration actor critic
Synchronized control with neuro-agents for leader-follower based multiple robotic manipulators
A support vector machine with integer parameters
CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms
Efficient neural network learning using second order information with fuzzy control
Online fault diagnosis method based on Incremental Support Vector Data Description and Extreme Learning Machine with incremental output structure
Align-then-abstract representation learning for low-resource summarization
Compositional Kronecker Context Optimization for vision-language models
The impact of the distribution of isoforms on CaMKII activation
An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis
Locality-preserving descriptor for robust texture feature representation
Comparison of dynamical states of random networks with human EEG
Distilled and filtered deep neural networks for real-time object detection in edge computing
A computational model for the development of simple-cell receptive fields spanning the regimes before and after eye-opening
Image classification with an RGB-channel nonsubsampled contourlet transform and a convolutional neural network
Single-channel separation using underdetermined blind autoregressive model and least absolute deviation
Rapid response of head direction cells to reorienting visual cues: a computational model
One for all: One-stage referring expression comprehension with dynamic reasoning
Parallel online sequential extreme learning machine based on MapReduce
NRDSP: A novel assessment of SAR image despeckling
Zero-shot action recognition in videos: A survey
Adaptive neural network control with optimal number of hidden nodes for trajectory tracking of robot manipulators
A novel view of the variational Bayesian clustering
Live neural network formations on electronic chips
Exponential synchronization of coupled fuzzy neural networks with disturbances and mixed time-delays
A confidence-aware and path-enhanced convolutional neural network embedding framework on noisy knowledge graph
An indoor localization system based on artificial neural networks and particle filters applied to intelligent buildings
Second derivative dependent placement of RBF centers
Fixed-time synchronization of octonion-valued neural networks with mixed delays: A non-separation norm approach
A combined B-spline-neural-network and ARX model for online identification of nonlinear dynamic actuation systems
Stability analysis of time varying delayed stochastic Hopfield neural networks in numerical simulation
VIWHard: Text adversarial attacks based on important-word discriminator in the hard-label black-box setting
Synergizing triple attention with depth quality for RGB-D salient object detection
Bi-level Evolutionary Model Tree Chain Induction for Multi-output Regression
DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices
Lifelong generative modeling
MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection
Tri-Training for authorship attribution with limited training data: a comprehensive study
Group decision support systems for current times: Overcoming the challenges of dispersed group decision-making
Finite-time passivity of delayed multi-weighted complex dynamical networks with different dimensional nodes
Monotonic convergence of adaptive Caputo fractional gradient descent for temporal convolutional networks
A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation
Privacy-preserving face attribute classification via differential privacy
The performance comparison of a new version of artificial raindrop algorithm on global numerical optimization
Control of a hydrolyzer in an oleochemical plant using neural network based controllers
Traffic flow prediction using LSTM with feature enhancement
Progressively real-time video salient object detection via cascaded fully convolutional networks with motion attention
A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
An radicals construction technique based on dual quaternions and hierarchical transformers
Point and prediction interval estimation for electricity markets with machine learning techniques and wavelet transforms
MLP technique based reinforcement learning control of discrete pure-feedback systems
Global exponential convergence of non-autonomous cellular neural networks with multi-proportional delays
Enhancing Text-to-SQL generation with language sequential consistency
Synchronization mechanisms in coupled neural networks with time-varying topologies: From edge-level rewiring to network-wide collective behaviors
Recurrent neural network for facial landmark detection
A principled approach to network-based classification and data representation
Intelligent online catastrophe assessment and preventive control via a stacked denoising autoencoder
Finite-time synchronization of proportional delay memristive competitive neural networks
Cooperative attack tolerant tracking control for multi-agent system with a resilient switching scheme
A niching evolutionary algorithm with adaptive negative correlation learning for neural network ensemble
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Gradient neural dynamics for solving matrix equations and their applications
Leveraging inter-chunk interactions for enhanced retrieval in large language model-based question answering
Deep memory network with Bi-LSTM for personalized context-aware citation recommendation
Residual variance estimation in machine learning
A multi-kernel framework with nonparallel support vector machine
Gradient boosting Bayesian neural networks via Langevin MCMC
FP-ELM: An online sequential learning algorithm for dealing with concept drift
MFEGPT: A PID controller-inspired multimodal feature enhancement for MLLMs
Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification
Arbitrary ROI-based wavelet video coding
XML document classification based on ELM
Improving radiology report generation with multi-grained abnormality prediction
Anti-counterfeiting digital watermarking algorithm for printed QR barcode
Novel circuit designs of memristor synapse and neuron
Distributed machine learning, optimization and applications
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension
Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification
Robust stability of discrete-time stochastic neural networks with time-varying delays
Advancing MRI segmentation with CLIP-driven semi-supervised learning and semantic alignment
A nonlocal feature self-similarity based tensor completion method for video recovery
Quality-related prediction and monitoring of multi-mode processes using multiple PLS with application to an industrial hot strip mill
GraMMy: Graph representation learning based on micro-macro analysis
Palm vein recognition based on multi-sampling and feature-level fusion
Fixed-time consensus-based distributed Nash equilibrium seeking for noncooperative game with second-order players
Nash equilibrium computation in two-network zero-sum games: An incremental algorithm
SAC: Collaborative learning of structure and content features for Android malware detection framework
The construction of a Boolean competitive neural network using ideas from immunology
Intra-class patch swap for self-distillation
Advancing DoA assessment through federated learning: A one-shot pseudo data approach
Unsupervised domain adaptation via representation learning and adaptive classifier learning
Fixed-time synchronization of fractional-order complex-valued neural networks with time-varying delay via sliding mode control
Algorithmic reconstruction of complete axonal arborizations in rat hippocampal neurons
Adaptive personalized recommendation based on adaptive learning
ARTAN: Align reviews with topics in attention network for rating prediction
Pairwise registration of TLS point clouds by deep multi-scale local features
A comprehensive review of deep neural network interpretation using topological data analysis
C-RBFNN: A user retweet behavior prediction method for hotspot topics based on improved RBF neural network
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
Advanced deep learning model for direct phase-only hologram generation using complex-valued neural networks
Interval time-varying delay stability for neural networks
Unsupervised depth estimation from monocular videos with hybrid geometric-refined loss and contextual attention
Multi-cue fusion for emotion recognition in the wild
Synchronization of memristive delayed neural networks via hybrid impulsive control
Robust tracking via online Max-Margin structural learning with approximate sparse intersection kernel
Prediction of Protein-Protein Interactions Using An Effective Sequence Based Combined Method
Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba
Sphere Support Vector Machines for large classification tasks
NEOSIM: Portable large-scale plug and play modelling
An actor-critic algorithm for multi-agent learning in queue-based stochastic games
Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device
Delayed observer-based H ∞ control for networked control systems
Uncertainty-aware representation calibration for semi-supervised medical imaging segmentation
A bioinspired model of decision making guided by reward dimensions and a motivational state
Elastic exponential linear units for convolutional neural networks
Handling large files of multisite microelectrode recordings for the European VSAMUEL consortium
A biophysically realistic simulation of the vertebrate retina
On Multi-Agent Cognitive Cooperation: Can virtual agents behave like humans?
Unity is strength: Improving the detection of adversarial examples with ensemble approaches
Bayesian estimation of time delays between unevenly sampled signals
An approach for directly extracting features from matrix data and its application in face recognition
Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Online detection of abnormal passenger out-flow in urban metro system
Similarity learning for object recognition based on derived kernel
Synchronization analysis of coupled connected neural networks with mixed time delays
Inverse reinforcement learning by expert imitation for the stochastic linear-quadratic optimal control problem
Fractional order sliding mode controller design for antilock braking systems
Correntropy-based level set method for medical image segmentation and bias correction
Deep plug-and-play prior for low-rank tensor completion
Color image classification via quaternion principal component analysis network
RM-FSP: Regret minimization optimizes neural fictitious self-play
Incremental learning with multi-level adaptation
FPCR-Net: Feature pyramidal correlation and residual reconstruction for optical flow estimation
The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli
TransMKR: Translation-based knowledge graph enhanced multi-task point-of-interest recommendation
Video deblurring via motion compensation and adaptive information fusion
Efficient methods for learning Bayesian network super-structures
Automatic ICD-9 coding via deep transfer learning
Multi-scale network (MsSG-CNN) for joint image and saliency map learning-based compression
Stability analysis of stochastic fuzzy cellular neural networks with delays
QSIM: A Quantum-inspired hierarchical semantic interaction model for text classification
Randomized neural networks for preference learning with physiological data
Neural networks for personalized item rankings
Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties
Hypercomplex-valued recurrent correlation neural networks
Visually grounded paraphrase identification via gating and phrase localization
Extracting and exposing predictive cortical columns for selective attention
Adaptive neuro-fuzzy inference system based total demand distortion factor for power quality evaluation
Bi-density twin support vector machines for pattern recognition
Salient object detection in hyperspectral imagery using multi-scale spectral-spatial gradient
Information processing during transient responses in the crayfish visual system
A B-spline network based neural controller for power electronic applications
CascadeGAN: A category-supervised cascading generative adversarial network for clothes translation from the human body to tiled images
Two-stage GNN-based fraud detection with camouflage identification and enhanced semantics aggregation
Effect of individual spiking activity on rhythm generation of central pattern generators
A neural network learning algorithm of chemical process modeling based on the extended Kalman filter