yusuke1997/dblp-id-title huggingface dataset:
Training neural networks for solving 1-D optimal piecewise linear approximation
The global exponential pseudo almost periodic synchronization of quaternion-valued cellular neural networks with time-varying delays
Joint clustering and feature extraction with adaptive outlier penalty
Robust H ∞ filter design for uncertain stochastic Markovian jump Hopfield neural networks with mode-dependent time-varying delays
Automated brain extraction on diffusion-weighted images using pseudo and cross semi-supervised method
Lateral connectivity as a scaffold for developing orientation preference maps
Stability analysis of Takagi-Sugeno stochastic fuzzy Hopfield neural networks with discrete and distributed time varying delays
Lattice-to-sequence attentional Neural Machine Translation models
Region of interest selection for functional features
Mean square exponential stability in high-order stochastic impulsive BAM neural networks with time-varying delays
Learning to rank related entities in Web search
Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method
Towards trustworthy and interpretable prediction of school bullying: A NAS-driven framework with Shapley value explanation
Generative synthesis of logos across DCT domain
The coming of age of interpretable and explainable machine learning models
A virtual actuator approach for the secure control of networked LPV systems under pulse-width modulated DoS attacks
Retinotopy and spatial phase in topographic maps
Toward AI fashion design: An Attribute-GAN model for clothing match
Exploiting the generative adversarial framework for one-class multi-dimensional fault detection
Modeling ion channels from the cricket cercal sensory system
An analysis of graph neural networks for fake review detection: A systematic literature review
The cerebellum: An incomplete multilayer perceptron?
Merging model-based two-dimensional principal component analysis
Locomotor network modeling based on identified zebrafish neurons
Unsupervised feature extraction via kernel subspace techniques
Delay-dependent H ∞ state estimation of neural networks with mixed time-varying delays
Subspace screening rule for low-rank tensor completion with tensor nuclear norm
Monotonic classification: An overview on algorithms, performance measures and data sets
A flexible and efficient algorithm for high dimensional support vector regression
Bearing-based formation control of networked robotic systems with parametric uncertainties
A review of IoT applications in healthcare
Disease Diagnosis with a hybrid method SVR using NSGA-II
Integrating the improved CBP model with kernel SOM
Global exponential stability of impulsive fuzzy Cohen-Grossberg neural networks with mixed delays and reaction-diffusion terms
Rad-Mark: Reliable adversarial zero-watermarking
Spike initiation in a hippocampal interneuron model
Deep semantic similarity adversarial hashing for cross-modal retrieval
Hybrid Lyrebird Red Panda Optimization_Shepard Convolutional Neural Network for recognition of speech emotion in audio signals
InfGCN: Identifying influential nodes in complex networks with graph convolutional networks
USTNet: Ultrafast style transfer between infrared and visible images
Control of a local neural network by feedforward and feedback inhibition
A Bayesian framework for dense depth estimation based on spatial-temporal correlation
Improved seam carving combining with 3D saliency for image retargeting
Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production
Synchrony and delay activity in cortical column models
Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data
Delay learning and polychronization for reservoir computing
Decoding fake news fabrications and trends: A comprehensive survey
Spherical formation control of mobile target by multi-agent systems with collision avoidance: A limit-cycle-based design approach
Graph structure learning with joint node and structural feature representation for node classification
Persuasive dialogue understanding: The baselines and negative results
A lexicographic cooperative co-evolutionary approach for feature selection
Topography from time-to-space transformations
Adversarial open set domain adaptation via progressive selection of transferable target samples
Where to look: Multi-granularity occlusion aware for video person re-identification
A multi-scale strategy for deep semantic segmentation with convolutional neural networks
An application of support vector machines and symmetry to computational modeling of perception through visual attention
Image classification based on saliency coding with category-specific codebooks
Asymptotical synchronization analysis of fractional-order complex neural networks with non-delayed and delayed couplings
Modeling the spinal cord neural circuitry controlling cat hindlimb movement during locomotion
Novel dynamics of dendritic integration in the high conductance state of cortical neurons
Special Issue SOCO 2021: New trends in soft computing and its application in industrial and environmental problems
Multivariate deep Durrmeyer sampling operators: Enhancing dynamic functional connectivity with a kernel-based framework
Neural networks-based fixed-time control for a robot with uncertainties and input deadzone
Optimization of structure and system latency in evolvable block-based neural networks using genetic algorithm
Stability of stochastic Hopfield neural networks driven by G-Brownian motion with time-varying and distributed delays
Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction
One-shot Video Graph Generation for Explainable Action Reasoning
A novel finger vein verification system based on two-stream convolutional network learning
Heterogeneous graph reasoning for knowledge-grounded medical dialogue system
Genetic algorithm for spanning tree construction in P2P distributed interactive applications
An online supervised learning method for spiking neural networks with adaptive structure
A comprehensive review of current local features for computer vision
Weakly-supervised anomaly detection with a Sub-Max strategy
Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting
On cluster synchronization of heterogeneous systems using contraction analysis
Advances in Kernel Methods. Support Vector Learning, B. Scholkopf, C.J.C. Burges, A.J. Smola (Eds.); MIT Press, Cambridge, 1999, pp 376+vii, ISBN 0-262-19416-3
LN-DETR: An efficient Transformer architecture for lung nodule detection with multi-scale feature fusion
Information bottleneck with input sampling for attribution
Modelling the auditory system: preprocessing and associative memories using spiking neurons
Soft-label generator based on classifier weights
H ∞ filtering design for continuous-time Takagi-Sugeno fuzzy model with immeasurable premise variables
Multi-feature adaptive classifiers for SAR image segmentation
Deformation invariant image matching based on dissimilarity of spatial features
Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging
Car-like mobile robot path planning in rough terrain using multi-objective particle swarm optimization algorithm
A systematic review of long document summarization methods: Evaluation metrics and approaches
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
Dynamic event-triggered distributed fuzzy H ∞ optimal formation control for input-constrained underactuated AUVs with unknown dynamics
Computational Neuroscience: Trends in Research 2005
Distributed event-triggered consensus of multi-agent systems under periodic DoS jamming attacks
Disinhibition maintains network performances in concept learning through regulating neural responses
MICQ-IPSO: An effective two-stage hybrid feature selection algorithm for high-dimensional data
Multi-feature Adaptive-fusion Enhanced graph neural Network for open-set node classification
Fast online low-rank tensor subspace tracking by CP decomposition using recursive least squares from incomplete observations
ThyFusion: A lightweight attribute enhancement module for thyroid nodule diagnosis using gradient and frequency-domain awareness
RACP: A network with attention corrected prototype for few-shot speaker recognition using indefinite distance metric
Stabilization for networked control systems subject to actuator saturation and network-induced delays
A new nearest neighbor classifier via fusing neighborhood information
Robust RBF finite automata
Robust compressive features based power quality events classification with Analog-Digital Mixing Network (ADMN)
Fuzzy adaptive resilient control against unknown false data injection attacks for high-order nonlinear systems with actuator failures
A simple and effective algorithm for implementing particle swarm optimization in RBF network's design using input-output fuzzy clustering
Scale-invariant structure saliency selection for fast image fusion
Fast learning of neural networks with application to big data processes
Repairing the cerebral vascular through blending Ball B-Spline curves with G 2 continuity
MSEB: Plug and play multi-scale image embedding block for vision backbone
Learning from different perspectives for regret reduction in reinforcement learning: A free energy approach
Neural network control of flexible-link manipulators using sliding mode
Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class
Mitigating domain mismatch in face recognition using style matching
A sparse representation based fast detection method for surface defect detection of bottle caps
An adaptive mini-batch stochastic gradient method for AUC maximization
On-line neural training algorithm with sliding mode control and adaptive learning rate
Event-triggered cooperative learning from output feedback control for multi-agent systems
Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data
New fast time delay neural networks using cross correlation performed in the frequency domain
Stability analysis for uncertain switched delayed complex-valued neural networks
Subspace learning by kernel dependence maximization for cross-modal retrieval
The perception loop in CiceRobot, a museum guide robot
Bayesian networks + reinforcement learning: Controlling group emotion from sensory stimuli
Deep 3D Facial Landmark Localization on position maps
The hidden neurons selection of the wavelet networks using support vector machines and ridge regression
Local voting based multi-view embedding
Active learning on manifolds
Variable universe fuzzy control for vehicle semi-active suspension system with MR damper combining fuzzy neural network and particle swarm optimization
Anatomical prior based vertebra modelling for reappearance of human spines
Parameterizing echo state networks for multi-step time series prediction
Big graph classification frameworks based on Extreme Learning Machine
Scalable bio-inspired training of Deep Neural Networks with FastHebb
Structured partial least squares for simultaneous object tracking and segmentation
A framework for joint community detection across multiple related networks
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
Hyperspectral pansharpening via improved PCA approach and optimal weighted fusion strategy
Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining
A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities
Hierarchical automatic curriculum learning: Converting a sparse reward navigation task into dense reward
Cost-sensitive KNN classification
Solving arithmetic problems using feed-forward neural networks
A cortical model for binocular vergence control without explicit calculation of disparity
Asynchronous gossip principal components analysis
Prediction-based portfolio optimization model using neural networks
Last-iterate convergence analysis of stochastic momentum methods for neural networks
Presenting new collaborative link prediction methods for activity recommendation in Facebook
Investigating the properties of adaptation in a computational model of the olfactory sensory neuron
Finite-time containment control of multi-agent systems with static or dynamic leaders
A scale adaptive network for crowd counting
Solar power time series forecasting utilising wavelet coefficients
Architectures for functional imagination
Applicability of approximate multipliers in hardware neural networks
A lightweight Transformer-based visual question answering network with Weight-Sharing Hybrid Attention
l2-l∞ state estimation for discrete-time switched neural networks with time-varying delay
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning
Bipartite consensus for a class of nonlinear multi-agent systems under switching topologies: A disturbance observer-based approach
A novel Alzheimer's disease detection approach using GAN-based brain slice image enhancement
Sparsity regularization label propagation for domain adaptation learning
ASA-Net: Deep representation learning between object silhouette and attributes
Stereo matching by using the global edge constraint
Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks
An improvement in RBF learning algorithm based on PSO for real time applications
Event driven tracking control algorithm for marine vessel based on backstepping method
Reservoir computing dissection and visualization based on directed network embedding
CAMA: Class activation mapping disruptive attack for deep neural networks
Differentially private stochastic gradient descent with low-noise
Unsupervised medical image feature learning by using de-melting reduction auto-encoder
Denoising by using multineural networks for medical X-ray imaging applications
Macro-micro mutual learning inside compositional model for human pose estimation
Enhancing social recommendation via two-level graph attentional networks
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic
An enhanced fuzzy algorithm based on advanced signal processing for identification of stress
IntelELM: A python framework for intelligent metaheuristic-based extreme learning machine
Integrating spatio-temporal modeling of RGB video with multi-stream skeleton representations for advanced human action recognition
Modelling the Stroop effect: A connectionist approach
Seize the (intra)day: Features selection and rules extraction for tradings on high-frequency data
A biologically inspired neurocomputing circuit for image representation
Fusion paradigms in cognitive technical systems for human-computer interaction
Systemical convergence rate analysis of convex incremental feedforward neural networks
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing
A two-stage personalized recommendation based on multi-objective teaching-learning-based optimization with decomposition
Developments in computational intelligence and machine learning
Neural spike sorting using mathematical morphology, multiwavelets transform and hierarchical clustering
Orthogonal least squares based center selection for fault-tolerant RBF networks
Dual consistent constraint via disentangled consistency and complementarity for multi-view clustering
Delay partition method for the robust stability of uncertain genetic regulatory networks with time-varying delays
Stability of switched memristive neural networks with impulse and stochastic disturbance
Three-dimensional piecewise cloud representation for time series data mining
Union Laplacian pyramid with multiple features for medical image fusion
Computing conditional probabilities in a minimal CA3 pyramidal neuron
An accurate and practical calibration method for roadside camera using two vanishing points
Learning refined attribute-aligned network with attribute selection for person re-identification
Soft orthogonal non-negative matrix factorization with sparse representation: Static and dynamic
Finite-time synchronization of fractional-order complex networks via hybrid feedback control
Breast mass classification in digital mammography based on extreme learning machine
Inverse stochastic resonance induced by non-Gaussian colored noise
Detection of dangerously approaching vehicles over onboard cameras by speed estimation from apparent size
A comprehensive review of image retargeting
A n-Gated Recurrent Unit with review for answer selection
A comparative study of wavelet families for EEG signal classification
Building multi-domain conversational systems from single domain resources
Surface mounted devices classification using a mixture network of DCNN and DFCN
Field-matching attention network for object detection
Finite-time dissipative control for singular T-S fuzzy Markovian jump systems under actuator saturation with partly unknown transition rates
NIV-SSD: Neighbor IoU-voting single-stage object detector from point cloud
Waveform detection with RBF network - Application to automated EEG analysis
On blind source separation using generalized eigenvalues with a new metric
Novel dynamic data-driven modeling based on feature enhancement with derivative memory LSTM for complex industrial process
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks
Kernel joint visual tracking and recognition based on structured sparse representation
CoFiNet: Unveiling camouflaged objects with multi-scale finesse
The Dorso-medial visual stream: From neural activation to sensorimotor interaction
Neural networks adaptive synchronization for four-dimension energy resource system with unknown dead zones
Progress in intelligent systems
Chaos and transient chaos in simple Hopfield neural networks
Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation
cleanTS: Automated (AutoML) tool to clean univariate time series at microscales
Distributed consensus of multi-agent systems with fault in transmission of control input and time-varying delays
A primal sketch based framework for bean-shape contour extraction
APLNet: Attention-enhanced progressive learning network
Integrating feature maps and competitive layer architectures for motion segmentation
Interactive feature space extension for multidimensional data projection
HG-former: Utilizing multi-scale transformer links prediction based on hypergraph structure
Fuzzy associative memories: A design through fuzzy clustering
Frequency-based slow feature analysis
Feature selection for multi-label learning based on kernelized fuzzy rough sets
A hybrid tracking framework based on kernel correlation filtering and particle filtering
Learning spatial-channel regularization jointly with correlation filter for visual tracking
Image compression techniques: A survey in lossless and lossy algorithms
Mitigating backdoor attacks in LSTM-based text classification systems by Backdoor Keyword Identification
Two-oscillator model of ventilatory rhythmogenesis in the frog
Sequential active learning using meta-cognitive extreme learning machine
1-Norm least squares twin support vector machines
Fully automatic segmentation of ultrasound common carotid artery images based on machine learning
People counting using visible and infrared images
Automatic feature extraction based structure decomposition method for multi-classification
Semi-supervised discriminative common vector method for computer vision applications
A fast sparse graph based clustering technique using dispersion of data points
Global convergence analysis of impulsive inertial neural networks with time-varying delays
Learning local graph from multiple kernels
Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm
Insights on the different convergences in Extreme Learning Machine
Centrality ranking in multiplex networks using topologically biased random walks
Robustness-aware 2-bit quantization with real-time performance for neural network
Feature screening using signal-to-noise ratios
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach
Advanced methods for two-class problem formulation for on-line signature verification
Optimal selection of time lags for TDSEP based on genetic algorithm
Semi-supervised support vector classification with self-constructed Universum
Learning and Soft Computing, Support Vector Machines, Neural Networks, and Fuzzy Logic Models, Vojislav Kecman; MIT Press, Cambridge, MA, 2001, ISBN 0-262-11255-8, 2001, pp 578
Multi-scale local region based level set method for image segmentation in the presence of intensity inhomogeneity
Global stability of discrete-time Cohen-Grossberg neural networks with impulses
A taxonomic look at instance-based stream classifiers
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction
Stable approximate Q-learning under discounted cost for data-based adaptive tracking control
A familiarity-based learning procedure for the establishment of place fields in area CA3 of the rat hippocampus
Prediction of compressive strength of self-compacting concrete by ANFIS models
APThreshold: A software tool for quantifying and analyzing action potential threshold dynamics
A buffered online transfer learning algorithm with multi-layer network
Discriminative orthogonal elastic preserving projections for classification
Hierarchical gate network for fine-grained visual recognition
Self-attention deep ConvLSTM with sparse-learned channel dependencies for wearable sensor-based human activity recognition
Neural network control of networked redundant manipulator system with weight initialization method
Binary ant lion approaches for feature selection
Real-time object tracking via self-adaptive appearance modeling
Dealing with difficult minority labels in imbalanced mutilabel data sets
Lightweight hierarchical residual feature fusion network for single-image super-resolution
Online active learning for human activity recognition from sensory data streams
Bidirectional handshaking LSTM for remaining useful life prediction
Evolution-guided Q-learning for tracking control of unknown dynamic systems
Navigability analysis of magnetic map with projecting pursuit-based selection method by using firefly algorithm
An extended convolution dynamic model of fMRI BOLD response
Quasi-synchronization of nonlinear coupled chaotic systems via aperiodically intermittent pinning control
FeaUn: Feature unlearning in vertical federated learning for IIoT against feature inference attacks
Optimal multiple distributed generation output through rank evolutionary particle swarm optimization
Spatio-temporal context analysis within video volumes for anomalous-event detection and localization
Study on fast speed fractional order gradient descent method and its application in neural networks
A model of visual working memory in PFC
WordNet2Vec: Corpora agnostic word vectorization method
Dynamic texture and scene classification by transferring deep image features
Photo sundial: Estimating the time of capture in consumer photos
Recurrent convolutional networks for session-based recommendations
Scaled consensus control of heterogeneous multi-agent systems with switching topologies
Abductive reasoning networks
Graph-based Multi-view Binary Learning for image clustering
Data-driven-based sliding-mode dynamic event-triggered control of unknown nonlinear systems via reinforcement learning
Identification of novel proliferative diabetic retinopathy related genes on protein-protein interaction network
Data-driven reconstruction method for electrical capacitance tomography