yusuke1997/dblp-id-title huggingface dataset:
Exponential stability in Lagrange sense for inertial neural networks with time-varying delays
An OS-ELM based distributed ensemble classification framework in P2P networks
Non-aligned multi-view partial multi-label learning via factor group-sparse regularization
Artificial intelligence-powered tuberculosis detection with complementary domain attention model
Maximum entropy intrinsic learning for spiking networks towards embodied neuromorphic vision
Machine learning models for wearable-based human activity recognition: A comparative study
A novel pattern classification scheme using the Baker's map
A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals
Distributed Bayesian optimisation framework for deep neuroevolution
A survey of artificial intelligence approaches in blind source separation
Effective influential community search on attributed graph
An overview of biomimetic robots with animal behaviors
Minimum connected component - A novel approach to detection of cognitive load induced changes in functional brain networks
A game-theoretic power control mechanism based on hidden Markov model in cognitive wireless sensor network with imperfect information
Semantic representation and dependency learning for multi-label image recognition
Global exponential stability of impulsive BAM neural networks with distributed delays
Label-removed generative adversarial networks incorporating with K-Means
Semi-paired hashing for cross-view retrieval
Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient
A novel fuzzy entropy-constrained competitive learning algorithm for image coding
Are object shape primitives learnable?
Leader selection via LASSO for formation control of time-delayed multi-agent systems
Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians
An IoU-aware Siamese network for real-time visual tracking
Support vector machines under adversarial label contamination
Initializing of an RBF network by a genetic algorithm
The generative adversarial network combined with noise guidance and global features generates high quality defect samples
Auto-VirtualNet: Cost-adaptive dynamic architecture search for multi-task learning
Hierarchical learning of large-margin metrics for large-scale image classification
Addressing posterior collapse by splitting decoders in variational recurrent autoencoders
Forecasting electricity load with advanced wavelet neural networks
Parameter-induced logical stochastic resonance
Towards explainable trajectory classification: A segment-based perturbation approach
Salient object detection via contrast information and object vision organization cues
Global Mittag-Leffler stability and synchronization of discrete-time fractional-order delayed quaternion-valued neural networks
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks
Long-tailed recognition via key attribute learning
Region of interest extraction in remote sensing images by saliency analysis with the normal directional lifting wavelet transform
Audio-visual correspondences based joint learning for instrumental playing source separation
Periodic solutions of stochastic coupled systems on networks with periodic coefficients
Multiscale dense convolutional neural network for DSA cerebrovascular segmentation
Chemical waves and internal energy during cooperative self-wiring of neural nets
Recognizing human actions using a new descriptor based on spatial-temporal interest points and weighted-output classifier
Graph autoencoder-based unsupervised feature selection with broad and local data structure preservation
Orthogonal Floating Search Algorithms: From the perspective of nonlinear system identification
A two-stage genetic algorithm for automatic clustering
Quasi-optimal EASI algorithm based on the Score Function Difference (SFD)
Separated smooth sampling for fine-grained image classification
MCCT-Net: A multi-perspective convolution and cross-connection transformer network for epilepsy detection
A binary differential evolution algorithm learning from explored solutions
Tag recommendation by text classification with attention-based capsule network
Review of advances in neural networks: Neural design technology stack
Learning group-wise spatial attention and label dependencies for multi-task thoracic disease classification
Gauss-Newton method conducted kernel adaptive nonlinear post-distorter with sparse structure and optimized width in visible light communication systems
A framework for bottom-up induction of oblique decision trees
Reinforcement Learning strategies for A-Team solving the Resource-Constrained Project Scheduling Problem
Fuzzy knowledge based performance analysis on big data
Exploring multi-scale deformable context and channel-wise attention for salient object detection
Building efficient CNNs using Depthwise Convolutional Eigen-Filters (DeCEF)
Adaptive NN event-triggered control for path following of underactuated vessels with finite-time convergence
Hybridizing sparse component analysis with genetic algorithms for microarray analysis
GANLDA: Graph attention network for lncRNA-disease associations prediction
Special issue on advances in intelligence science and intelligent data engineering
A machine learning approach to measure and monitor physical activity in children
Event detection and popularity prediction in microblogging
Mechanisms of dynamical complexity changes in patterns of sensory neurons under antinociceptive effect emergence
Adaptive displacement online control of shape memory alloys actuator based on neural networks and hybrid differential evolution algorithm
Enhancing the accuracy of Generative Adversarial Networks with Fokker-Planck Equations
Neural computation using discrete and continuous Hopfield networks for power system economic dispatch and unit commitment
A novel adaptive neural network constrained control for solid oxide fuel cells via dynamic anti-windup
A multilevel adaptive reduction technique for time series
Temporal consistency two-stream CNN for human motion prediction
Multi-path x-D recurrent neural networks for collaborative image classification
Multi-level graph contrastive learning
Non-negative dictionary based sparse representation classification for ear recognition with occlusion
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
A segmentation algorithm for zebra finch song at the note level
Object-based quality evaluation procedure for fused remote sensing imagery
A novel mixture of experts model based on cooperative coevolution
Median variants of learning vector quantization for learning of dissimilarity data
Rapid learning and robust recall of long sequences in modular associator networks
Coarse-to-fine text injecting for realistic image super-resolution
Cost-efficient FPGA implementation of a biologically plausible dopamine neural network and its application
Improved integral inequality approach on stabilization for continuous-time systems with time-varying input delay
Regularized matrix completion with partial side information
A three-network architecture for on-line learning and optimization based on adaptive dynamic programming
An alternative switching criterion for independent component analysis (ICA)
Gain modulation and frequency locking under conductance noise
Decentralized Adaptive temporal-difference learning over time-varying networks and its finite-time analysis
Development of a Self-Regulating Evolving Spiking Neural Network for classification problem
Large-scale image retrieval with Sparse Embedded Hashing
Learning discriminative tree edit similarities for linear classification - Application to melody recognition
Special issue on support vector machines
Symmetric quaternionic Hopfield neural networks
Erratum to "Temporal dynamics of information flow in the cerebral cortex" [Neurocomputing 38-40 (2001) 1429-1435]
Change detection with absolute difference of multiscale deep features
Heterogeneous discriminant analysis for cross-view action recognition
Modelling topology preservation in a cortex by controlled deformation of its energy landscape
Stability switches and fold-Hopf bifurcations in an inertial four-neuron network model with coupling delay
T2-cGAN: A new modeling paradigm for joint DEM spatial interpolation and super-resolution reconstruction
Identifying cluster centroids from decision graph automatically using a statistical outlier detection method
Structured regularized robust coding for face recognition
Non-fragile l2-l∞ synchronization for switched inertial neural networks with random gain fluctuations: A persistent dwell-time switching law
LAR-Pose: Lightweight human pose estimation with adaptive regression loss
Unsupervised measure of Chinese lexical semantic similarity using correlated graph model for news story segmentation
FACapsnet: A fusion capsule network with congruent attention for cyberbullying detection
Triage prediction in pediatric patients with respiratory problems
Asymptotic Fisher memory of randomized linear symmetric Echo State Networks
Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345]
Supervised kernel nonnegative matrix factorization for face recognition
A semantic driven adaptive framework for few-shot knowledge graph completion
Merge SOM for temporal data
Face.evoLVe: A cross-platform library for high-performance face analytics
Recurrent neural system with minimum complexity: A deep learning perspective
Social media analytics and learning
Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion
Integration of multiple orientation and texture information for finger-knuckle-print verification
ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling
Computational model for the bushy cell of the cochlear nucleus
Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine
ART-based fusion of multi-modal perception for robots
A support vector machine formulation for linear and kernel discriminant analysis
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation
Explainable topology-guided matrix factorization for link prediction in open-source software networks
Delay-dependent passivity criterion for discrete-time delayed standard neural network model
DeepAVO: Efficient pose refining with feature distilling for deep Visual Odometry
Determination of barrier surface in Target-Attacker-Defender game with capture radius for superior pursuer
Online algorithms for 2D bin packing with advice
Existence and global exponential stability of periodic solution for Cohen-Grossberg shunting inhibitory cellular neural networks with delays and impulses
Visual word coding based on difference maximization
Discrete-time super-twisting controller using neural networks
Interoperable neuro-fuzzy services for emotion-aware ambient intelligence
Characterization of the light-induced currents in Hermissenda
Cross-modal Interaction and Multi-view Misalignment Network for multimodal sarcasm detection
Control of a direct drive robot using fuzzy spiking neural networks with variable structure systems-based learning algorithm
Constructive algorithm for fully connected cascade feedforward neural networks
Efficient and accurate graph statistics with adaptive personalized local differential privacy
FedMCSA: Personalized federated learning via model components self-attention
Concurrent analysis of variable correlation and data distribution for monitoring large-scale processes under varying operation conditions
Location independence and fast conduction of synaptic inputs in neocortical neurons in vivo
BIOT: Explaining multidimensional nonlinear MDS embeddings using the Best Interpretable Orthogonal Transformation
A new prospective for Learning Automata: A machine learning approach
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
A novel convolutional neural network with multiscale cascade midpoint residual for fault diagnosis of rolling bearings
Audio-visual domain adaptation using conditional semi-supervised Generative Adversarial Networks
A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database
A fast recognition framework based on extreme learning machine using hybrid object information
Activity affects trace conditioning performance in a minimal hippocampal model
Signal detectability enhancement with auto-associative backpropagation networks
An adaptive threshold in joint approximate diagonalization by assuming exponentially distributed errors
Dimension decoupling attention mechanism for time series prediction
Consensus of second-order multi-agent systems based on PIDD-like control protocol with time delay
R Package CEC
Dual-stage learning framework for underwater acoustic target recognition with cross-attention mechanism and audio-guided contrastive learning
Attention-enhanced separable residual with dilation net for medical image segmentation
Time-enhanced compound geometric operations for temporal knowledge graph embedding
Long-tail item recommendations exploiting graph neural network in collaborating filtering framework
A note on learning automata-based schemes for adaptation of BP parameters
Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples
Distributed optimization of multi-agent systems with delayed sampled-data
Weakly supervised thoracic disease localization via disease masks
Bipartite consensus of concatenated opinion dynamics for two antagonistic groups: A game theoretical perspective
Weighted aggregation of partial rankings using Ant Colony Optimization
A superpixel-based CRF saliency detection approach
Robust sequential subspace clustering via ℓ 1 -norm temporal graph
RobustMixGen: Data augmentation for enhancing robustness of visual-language models in the presence of distribution shift
Passivity and passification for Markov jump genetic regulatory networks with time-varying delays
Discrimination between tumour epithelium and stroma via perception-based features
Visualizing and analyzing convolution neural networks with gradient information
Predicting the associations between microbes and diseases by integrating multiple data sources and path-based HeteSim scores
OClustR: A new graph-based algorithm for overlapping clustering
MPC-based setpoint compensation with unreliable wireless communications and constrained operational conditions
Semantic inpainting on segmentation map via multi-expansion loss
Rapid temporal modulation of synchrony in cortical interneuron networks with synaptic plasticity
'Plain backpropagation' and advanced optimization algorithms: A comparative study
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning
Global stability of delayed genetic regulatory networks with wider hill functions: A mixing monotone semiflows approach
Estimation of software project effort with support vector regression
A graph fraud detection model based on mutual information
Study of the performance and scalability of federated learning for medical imaging with intermittent clients
An adaptive latent factor model via particle swarm optimization
Fast and efficient algorithm for matrix completion via closed-form 2/3-thresholding operator
A survey of recent advances in visual feature detection
Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions
A dual-population multiobjective co-evolutionary matching ensemble learning for product multi-indicator prediction in continuous annealing
A genetic algorithm study on the influence of dendritic plateau potentials on bistable spiking in motoneurons
A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks
Label propagation based on collaborative representation for face recognition
Recognition of grammatical class of imagined words from EEG signals using convolutional neural network
Adaptive finite-time fuzzy control of full-state constrained high-order nonlinear systems without feasibility conditions and its application
Automatic diagnosis of early pregnancy fetal nasal bone development based on complex mid-sagittal section ultrasound imaging
Triple-discriminator GAN for semi-supervised generalized zero-shot learning
Synaptic regulation on various STDP rules
On-line estimation of the final prediction error via recursive least-squares method
Image generation via latent space learning using improved combination
A novel framework for image-to-image translation and image compression
PARAFAC algorithms for large-scale problems
RectMamba: Exploring state space models with entropy-divergence framework for noisy label rectification
Nonlinear model predictive control of a cutting process
Storing and restoring visual input with collaborative rank coding and associative memory
Towards one-shot federated learning: Advances, challenges, and future directions
Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6]
Formation-containment control for multi-agent systems with sampled data and time delays
CBH-YOLO: A steel surface defect detection algorithm based on cross-stage Mamba enhancement and hierarchical semantic graph fusion
Multi-Modal Mention Topic Model for mentionee recommendation
Denoising magnetic resonance images using collaborative non-local means
Stability and synchronization for Riemann-Liouville fractional-order time-delayed inertial neural networks
A model of agent consciousness and its implementation
Guiding the modeller: organizing and selecting experimental data for single cell models using the CoCoDat database
Robust wavelet-based adaptive neural controller design with a fuzzy compensator
Towards deep entity resolution via soft schema matching
Hyperparameter design criteria for support vector classifiers
Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines
Sampled-data synchronization of delayed multi-agent networks and its application to coupled circuit
Advanced mean field methods: theory and practice: M. Opper and D. Saad (Eds.); MIT Press, Cambridge, MA, 2001, 300pp. ISBN 0-262-15054-9
Existence, uniqueness and stability of mild solutions to stochastic reaction-diffusion Cohen-Grossberg neural networks with delays and Wiener processes
Sequence recognition with radial basis function networks: experiments with spoken digits
Optimized linear active disturbance rejection control for pneumatic servo systems via least squares support vector machine
An agent-based simulator driven by variants of Self-Organizing Maps
Improving person re-identification by multi-task learning
Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease
Hybrid neural networks for big data classification
See - A framework for simulation of biologically detailed and artificial neural networks and systems
Semi-global shape-aware attention network for image segmentation and retrieval
Characterizing and modeling concentration-response curves of olfactory receptor cells
MD-GCCF: Multi-view deep graph contrastive learning for collaborative filtering
Effective 3D object detection based on detector and tracker
Global stability problem for feedback control systems of impulsive fractional differential equations on networks
Fast orthogonal locality-preserving projections for unsupervised feature selection
EEG-based neural networks approaches for fatigue and drowsiness detection: A survey
Learning word representation by jointly using neighbor and syntactic contexts
HDR-NFlow: High Dynamic Range imaging with normalizing flow
Pinning synchronization of nonlinearly coupled complex networks with time-varying delays using M-matrix strategies
Model-based low bit-rate video coding for resource-deficient wireless visual communication
Boundedness, periodic solutions and global stability for cellular neural networks with variable coefficients and infinite delays
Bipartite output consensus for heterogeneous multi-agent systems via reduced-order observer-based protocols
Combining the wisdom of crowds and technical analysis for financial market prediction using deep random subspace ensembles
Zero singularities of codimension two in a delayed predator-prey diffusion system
Coordinate transformation learning of hand position feedback controller with time delay
Emotion-driven Chinese folk music-image retrieval based on DE-SVM
A heuristic training for support vector regression
Withdrawing an example from the training set: An analytic estimation of its effect on a non-linear parameterised model
Bogdanov-Takens bifurcation in a single inertial neuron model with delay
Image restoration using overlapping group sparsity on hyper-Laplacian prior of image gradient
Dialog generation model based on variational Bayesian knowledge retrieval method
Adaptive terminal sliding mode control of uncertain robotic manipulators based on local approximation of a dynamic system
Classes and gradients of prefrontal cortical organization in the primate
A fast federated reinforcement learning approach with phased weight-adjustment technique
Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training
Decentralized event-triggered cooperative control for multi-agent systems with uncertain dynamics using local estimators
Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model
Object-based multi-modal convolution neural networks for building extraction using panchromatic and multispectral imagery
Multi-elitist immune clonal quantum clustering algorithm
Stability and associative memories of multi-layer memristive neural networks in the flux-charge domain
Stability analysis for neural networks with time-varying delay: A more general delay decomposition approach
Can machine learning explain human learning?
Reconstruction of chaotic time series by neural models: a case study
Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions
A main directional maximal difference analysis for spotting facial movements from long-term videos
Integration of regularized l 1 tracking and instance segmentation for video object tracking
Computational analysis of muscular dystrophy sub-types using a novel integrative scheme
Supervised kernel locality preserving projections for face recognition
Leveraging multi-level dependency of relational sequences for social spammer detection
Improved RAN sequential prediction using orthogonal techniques
Two birds with one stone: Transforming and generating facial images with iterative GAN
Efficient activation functions for embedded inference engines
Neural networks for computer-aided diagnosis in medicine: A review
A new approach for discretizing continuous attributes in learning systems
SDANet: A stacked dense adaptive network for real-time and accurate super resolution
A regularized least square based discriminative projections for feature extraction
Signal compression in the sensory periphery
Partially hidden Markov models for privacy-preserving modeling of indoor trajectories
Online optimal solutions for multi-player nonzero-sum game with completely unknown dynamics
Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics
Dimensionality reduction based on ICA for regression problems
Common latent space identification for heterogeneous co-transfer clustering
Multi-objective fuzzy Q-learning to solve continuous state-action problems
Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem