yusuke1997/dblp-id-title huggingface dataset:
Advances in artificial neural networks, machine learning, and computational intelligence (ESANN 2013)
Stability of internal states in recurrent neural networks trained on regular languages
Controllability robustness for scale-free networks based on nonlinear load-capacity
Estimation of centrifugal pump operational state with dual neural network architecture based model
Robustness of interval gene networks with multiple time-varying delays and noise
Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions
A multi-level contrastive learning-based correction model for semi-supervised fetal echocardiography segmentation
Multi-scale Regulation of Reservoir Topology in Echo State Networks
RSKNet-MTSP: Effective and portable deep architecture for speaker verification
Dynamic topology learning with the probabilistic self-organizing graph
Highlight-assisted nighttime vehicle detection using a multi-level fusion network and label hierarchy
AMDFNet: Adaptive multi-level deformable fusion network for RGB-D saliency detection
Graphical lasso quadratic discriminant function and its application to character recognition
FoolChecker: A platform to evaluate the robustness of images against adversarial attacks
Feature learning based on SAE-PCA network for human gesture recognition in RGBD images
Minimal-learning-parameter based simplified adaptive neural back-stepping control of flexible air-breathing hypersonic vehicles without virtual controllers
Finite-time event-triggered H ∞ control for switched systems with time-varying delay
Stability analysis of fractional Quaternion-Valued Leaky Integrator Echo State Neural Networks with multiple time-varying delays
Skip-patching spatial-temporal discrepancy-based anomaly detection on multivariate time series
Popularity prediction on vacation rental websites
Multiplier-less digital implementation of neuron-astrocyte signalling on FPGA
Learning with generalized-mean neuron model
A comparative study and improvement of two ICA using reference signal methods
An iterative combination scheme for multimodal visual feature detection
Robust nonnegative matrix factorization with structure regularization
A hypothesis-driven method based on machine learning for neuroimaging data analysis
DAP: A dataset-agnostic predictor of neural network performance
Vision transformers inference acceleration based on adaptive layer normalization
A slimmable framework for practical neural video compression
Langevin-gradient parallel tempering for Bayesian neural learning
Self-training: A survey
Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning
Siamese Neural Network-based stationary feature extraction for nonstationary process monitoring
Deep learning-based group activity recognition in videos: A survey
An efficient level set method based on multi-scale image segmentation and hermite differential operator
Ensemble of optimized echo state networks for remaining useful life prediction
Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF
Saliency detection by selective color features
Single satellite image dehazing via linear intensity transformation and local property analysis
Continuous two-dimensional current source density analyses of electrophysiological activity in hippocampal slices
Hermite polynomials facilitating on-line learning analysis of layered neural networks with arbitrary activation function
Super-resolution of remote sensing images via sparse structural manifold embedding
Causality analysis of neural connectivity: New tool and limitations of spectral Granger causality
Stability criteria of quaternion-valued neutral-type delayed neural networks
A novel approach to model neuronal signal transduction using stochastic differential equations
k-NN attention-based video vision transformer for action recognition
LSCD: Low-rank and sparse cross-domain recommendation
Modulated spike-time dependent plasticity (STDP)-based learning for spiking neural network (SNN): A review
Rigid medical image registration using PCA neural network
A PDF model of populations of Purkinje cells: Non-linear interactions and high variability
SD-CSMOTE: Over-sampling method based on SNN-DPC and improved SMOTE
Imbalanced evolving self-organizing learning
No-reference quality evaluation of realistic hazy images via singular value decomposition
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems
Distributed finite-time convergent algorithms for time-varying optimization with coupled equality constraint over weight-unbalanced digraphs
Set-membership filtering for genetic regulatory networks with missing values
Disaggregation & aggregation of time series components: A hybrid forecasting approach using generalized regression neural networks and the theta method
LSTM and GRU type recurrent neural networks in model predictive control: A Review
Attribute relation learning for zero-shot classification
An efficient multi-objective learning algorithm for RBF neural network
A multi-agent flocking collaborative control method for stochastic dynamic environment via graph attention autoencoder based reinforcement learning
Parsimonious regularized extreme learning machine based on orthogonal transformation
Rethinking general underwater object detection: Datasets, challenges, and solutions
Filter bank convolutional network with dual channel attention for multi-class fine joint motor imagery decoding
Building topic hierarchy based on fuzzy relations
Global stability at a limit cycle of switched Boolean networks under arbitrary switching signals
Pinning synchronization for markovian jump neural networks with uncertain impulsive effects
Subspace clustering based on latent low rank representation with Frobenius norm minimization
A video object detector with Spatio-Temporal Attention Module for micro UAV detection
Frequency domain approach to computational analysis of bifurcation and periodic solution in a two-neuron network model with distributed delays and self-feedbacks
A multi-feature probabilistic graphical model for social network semantic search
From A-to-Z review of clustering validation indices
Learning multiple local binary descriptors for image matching
Self-organizing multiobjective optimization based on decomposition with neighborhood ensemble
KD-KI: Knowledge distillation with knowledge infusion for anomaly detection and localization
Semi-supervised constraints preserving hashing
Properties of the Box-Cox transformation for pattern classification
Simulated annealing for optimization of graphs and sequences
Attention-guided dual spatial-temporal non-local network for video super-resolution
GrafoRVFL: A gradient-free optimization framework for boosting random vector functional link network
Selective ensemble of classifiers trained on selective samples
Quantized dynamic event-triggered control for fixed/preset-time bipartite synchronization of memristor-based discontinuous multi-layer signed networks
Shape-aware speckle matching network for cross-domain 3D reconstruction
Less conservative results of state estimation for delayed neural networks with fewer LMI variables
L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images
Single image super-resolution via blind blurring estimation and dictionary learning
Event-triggering based adaptive neural tracking control for a class of pure-feedback systems with finite-time prescribed performance
Eigenvalue decay: A new method for neural network regularization
Tensor low-rank sparse representation for tensor subspace learning
Deep vanishing component analysis network for pattern classification
Chaos control and associative memory of a time-delay globally coupled neural network using symmetric map
Deep learning-based methods for person re-identification: A comprehensive review
Permutation XOR cellular automata and direct stable periodic orbits
Effective image super resolution via hierarchical convolutional neural network
A photo cartoonization method based on text-to-image diffusion model
An efficient primal simplex method for solving large-scale support vector machines
Multilinear Side-Information based Discriminant Analysis for face and kinship verification in the wild
Robust sequential online prediction with dynamic ensemble of multiple models: A review
An unsupervised discriminative extreme learning machine and its applications to data clustering
Reversible watermarking using optional prediction error histogram modification
Cellular neural network formed by simplified processing elements composed of thin-film transistors
Asymmetric neural network synchronization and dynamics based on an adaptive learning rule of synapses
Analytical determination of firing times in stochastic nonlinear neural models
Real-time video dehazing via incremental transmission learning and spatial-temporally coherent regularization
Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network
Simplex basis function based sparse least squares support vector regression
Further stability analysis for delayed complex-valued recurrent neural networks
Single image super-resolution using combined total variation regularization by split Bregman Iteration
Finite-time synchronization of inertial memristive neural networks with time delay via delay-dependent control
TopiCOT: Neural topic model aligning with pre-trained clustering and optimal transport
Deep Gabor convolution network for person re-identification
The role of postsynaptic potential decay rate in neural synchrony
DCT based weighted adaptive multi-linear data completion and denoising
A generalized indirect adaptive neural networks backstepping control procedure for a class of non-affine nonlinear systems with pure-feedback prototype
Measuring the convergence and diversity of CDAS Multi-Objective Particle Swarm Optimization Algorithms: A study of many-objective problems
One cortex - many maps: An introduction to coordinate-independent mapping by Objective Relational Transformation (ORT)
Towards excluding redundancy in electrode grid for automatic speech recognition based on surface EMG
A modified infomax algorithm for blind signal separation
Constraint multi-objective automated synthesis for CMOS operational amplifier
A new intelligent method based on combination of VMD and ELM for short term wind power forecasting
Bayesian sparse factor analysis with kernelized observations
Cross-view action recognition understanding from exocentric to egocentric perspective
Support vector machine for functional data classification
The general memory neural network and its relationship with basis function architectures
Discriminant analysis via support vectors
Scalable joint segmentation and registration framework for infant brain images
FIPNet: Self-supervised low-light image enhancement combining feature and illumination priors
Robust activation function and its application: Semi-supervised kernel extreme learning method
Neural network for nonsmooth pseudoconvex optimization with general constraints
A new method for the detectability of probabilistic logical control networks
Exploiting the connections between images and deep feature vectors in model inversion attacks
Hyperspectral image super-resolution via multi-domain feature learning
Gabor texture in active appearance models
Pool-mamba: Pooling state space model for low-light image enhancement
CITAL: Counterfactual intervention for temporal action localization with point-level annotation
Directional cooperative networks
H ∞ model approximation for discrete-time Takagi-Sugeno fuzzy systems with Markovian jumping parameters
DPF-S2S: A novel dual-pathway-fusion-based sequence-to-sequence text recognition model
Blur robust optical flow using motion channel
Twin least squares support vector regression
Deep visual domain adaptation: A survey
Bayesian Neural Networks with Maximum Mean Discrepancy regularization
Content-based image retrieval with compact deep convolutional features
Multi-label learning method based on ML-RBF and laplacian ELM
Multi-source alert data understanding for security semantic discovery based on rough set theory
Annealed cooperative-competitive learning of Mahalanobis-NRBF neural modules for nonlinear and chaotic differential function approximation
A novel online adaptive kernel method with kernel centers determined by a support vector regression approach
Hybrid genetic algorithms for parameter identification of a hysteresis model of magnetostrictive actuators
Dissimilarity based ensemble of extreme learning machine for gene expression data classification
An end-to-end heterogeneous network for graph similarity learning
Artificial neural networks on massively parallel computer hardware
A unified distance measurement for orientation coding in palmprint verification
Odor interactions and learning in a model of the insect antennal lobe
Soft Hybrid Knowledge Distillation against deep neural networks
Enhanced Beetle Antennae Search with Zeroing Neural Network for online solution of constrained optimization
MCI-HyperNet: A multiple contextual information-based adaptive weight learning network for controllable image reconstruction
Label propagation based semi-supervised non-negative matrix factorization for feature extraction
Properties of the transmission of pulse sequences in a bistable chain of unidirectionally coupled neurons
Automatic wireless mapping and tracking system for indoor location
Reachable set bounding for a class of memristive complex-valued neural networks with disturbances
Short-term solar irradiance forecasting in streaming with deep learning
Thermal condition monitoring system using log-polar mapping, quaternion correlation and max-product fuzzy neural network classification
OMR-diffusion: Optimizing multi-round enhanced training in diffusion models for improved intent understanding
Fine-tuning CLIP with mixture of experts and cross-modal alignment via contrastive learning for multimodal sentiment analysis
AAC: Automatic Augmentation for Crowd Counting
Utility-efficient differentially private K-means clustering based on cluster merging
ConSOM: A conceptional self-organizing map model for text clustering
Determination of weights for relaxation recurrent neural networks
Transform based spatio-temporal descriptors for human action recognition
Kernel extrapolation
HeLPNet: Facial structure-aware landmark coordinate regression with heatmap-guided local patch embedding
Locality-aware group sparse coding on Grassmann manifolds for image set classification
Advances in Extreme Learning Machines (ELM2013)
Incorporating NODE with pre-trained neural differential operator for learning dynamics
Learning-to-rank debias with popularity-weighted negative sampling and popularity regularization
A spike train analysis for quantifying inhibitory near synchrony in spike firings
Robust graph learning via constrained elastic-net regularization
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement
Improvements on parsimonious extreme learning machine using recursive orthogonal least squares
On extended long short-term memory and dependent bidirectional recurrent neural network
Online multi-object tracking with unsupervised re-identification learning and occlusion estimation
Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting
Reformative nonlinear feature extraction using kernel MSE
LE & LLE Regularized Nonnegative Tucker Decomposition for clustering of high dimensional datasets
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising
Metric horseshoes in discrete-time RTD-based cellular neural networks
ANFIS u nfolded i n t ime for multivariate time series forecasting
Stimulus transmission by tonic and burst responses in a minimal model of thalamic circuit
Eigenobject-wise saliency detection based on manifold ranking
M-matrix-based delay-range-dependent global asymptotical stability criterion for genetic regulatory networks with time-varying delays
Global vs. local processing of compressed representations: A computational model of visual search
Efficient training for dendrite morphological neural networks
Secure and efficient querying over personal health records in cloud computing
Synthesis of multiple model switching controllers using H ∞ theory for systems with large uncertainties
Combining a causal effect criterion for evaluation of facial attractiveness models
Robust orthogonal matrix factorization for efficient subspace learning
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
From local neural networks to granular neural networks: A study in information granulation
A locally weighted sparse graph regularized Non-Negative Matrix Factorization method
Flexible orthogonal semisupervised learning for dimension reduction with image classification
Reconstruction of honeybee behavior within the observation hive
Tensor networks for explainable machine learning in cybersecurity
Magnitude Sensitive Competitive Learning
Low-dimensional feature fusion strategy for overlapping neuron spike sorting
Global feature integration based salient region detection
Learning a generative classifier from label proportions
Improving deep neural network with Multiple Parametric Exponential Linear Units
Incremental regularized extreme learning machine and it's enhancement
A power reformulation continuous-time algorithm for nonconvex distributed constrained optimization over multi-agent systems
Varying coefficient modeling via least squares support vector regression
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
Learning for an aesthetic model for estimating the traffic state in the traffic video
Multistability of discrete-time delayed Cohen-Grossberg neural networks with second-order synaptic connectivity
Analysis of pattern classification for the multidimensional parity-bit-checking problem with hybrid evolutionary feed-forward neural network
The human-like intelligence with bio-inspired computing approach for credit ratings prediction
CAMT: A novel symmetric cross-modal adaptive modulation framework for RGB-T tracking
SCNet: Scale-aware coupling-structure network for efficient video object detection
Question-Led object attention for visual question answering
Stability and Hopf bifurcation of a Goodwin model with four different delays
Fuzzy generalized projective synchronization of incommensurate fractional-order chaotic systems
MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model
Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number
Mean-square exponential input-to-state stability of stochastic delayed neural networks
Feature selection for domain adaptation using complexity measures and swarm intelligence
Global asymptotic stability of a class of generalized BAM neural networks with reaction-diffusion terms and mixed time delays
Triple loss for hard face detection
Interactive dual contrastive fusion for multi-view clustering with local structure preservation
New Gaussianity measures based on order statistics: application to ICA
Hybridized term-weighting method for Dark Web classification
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images
A review of graph theory-based diagnosis of neurological disorders based on EEG and MRI
Broad learning system for semi-supervised learning
Understanding cone distributions from saccadic dynamics. Is information rate maximised?
Multi-modal AD classification via self-paced latent correlation analysis
QMCM: Minimizing Vapnik's bound on the VC dimension
Modelling context with neural networks for recommending idioms in essay writing
Nearest orthogonal matrix representation for face recognition
Simulation of an individual with motor disabilities by a deep reinforcement learning model
Ontology representation and mapping of common fuzzy knowledge
XCS with opponent modelling for concurrent reinforcement learners
Global exponential synchronization of generalized stochastic neural networks with mixed time-varying delays and reaction-diffusion terms
A new contrast based multimodal medical image fusion framework
Improving variational autoencoder with deep feature consistent and generative adversarial training
Infrared and visible image fusion based on a two-stage class conditioned auto-encoder network
A new prediction strategy for dynamic multi-objective optimization using hybrid Fuzzy C-Means and support vector machine
Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network
Adaptive fixed-time neural consensus control for a class of uncertain nonlinear multi-agent systems with full state constraints
EEG classification using generative independent component analysis
DUGCN: Deep Unfolding Gradient Consistency Network for fast MRI reconstruction
3D saliency guided deep quality predictor for no-reference stereoscopic images
Ensemble strategy learning for imperfect information games
Large cost-sensitive margin distribution machine for imbalanced data classification
K-means algorithms for functional data
Power quality disturbance classification using Hilbert transform and RBF networks
IFRN: Insensitive feature removal network for zero-shot mechanical fault diagnosis across fault severity
Evidence for neural wavelet packet computations
Input selection based on an ensemble
A dynamical-structure neural network model specified for representing logical relations with inhibitory links and fewer neurons
Identification of dynamic object using Z-transform artificial neural network
Discovering top-k non-redundant clusterings in attributed graphs
Extending information maximization from a rate-distortion perspective
Global-Guided Asymmetric Attention Network for Image-Text Matching
DKTNet: Dual-Key Transformer Network for small object detection
Optical convolutional neural network with the hybrid training method
Learning controllable elements oriented representations for reinforcement learning
Clustering with similarity preserving
Evolutionary nonnegative matrix factorization with adaptive control of cluster quality
Realistic neuromorphic models and their application to neural reorganization simulations
Single image dehazing via fine-scale perception network
A hierarchical model for label constraint reachability computation
Predicting occluded skeletal joints via tracking-based feature extraction
DSAIS-PINN: Dynamic seeds allocation importance sampling for physics-informed neural networks
A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward
Long-tail learning with rebalanced contrastive loss
Parallel and distributed neurocomputing with wireless sensor networks
PWAGAT: Potential Web attacker detection based on graph attention network
Extended dissipativity-based synchronization of Markov jump neural networks subject to partially known transition and mode detection information
The intermittent fault diagnosis of analog circuits based on EEMD-DBN
Stochastic Bipartite Consensus for Second-Order Multi-Agent Systems with Communication Noise and Antagonistic Information
Classification of mental task from EEG data using neural networks based on particle swarm optimization
Cucumber disease recognition based on Global-Local Singular value decomposition
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems
A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex
A semi-supervised cross-modal memory bank for cross-modal retrieval
Movable type printing identification based on Tangut characters registration
Attracting and quasi-invariant sets for BAM neural networks of neutral-type with time-varying and infinite distributed delays
Graph-based measures to assist user assessment of multidimensional projections