yusuke1997/dblp-id-title huggingface dataset:
ydata-profiling: Accelerating data-centric AI with high-quality data
Optimizing the temporal adjacency matrix for 3D human pose estimation through clustering
Time series predicting of COVID-19 based on deep learning
Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning
Combining genetic algorithms and neural networks to build a signal pattern classifier
Dynamic range and error tolerance of stochastic neural rate codes
MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems
HYPER 2 : Hyperbolic embedding for hyper-relational link prediction
Resonance transmission of multiple independent signals in cortical networks
Building meaningful representations for nonlinear modeling of 1d- and 2d-signals: applications to biomedical signals
Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks
Automatic classification of ASD children using appearance-based features from videos
Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3
Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations
A temporal trace and SOM-based model of complex cell development
Bidirectional neural network for trajectory planning: An application to medical emergency vehicle
EmoVisioNet: A hybrid network unifying lightweight CNN and attention-based vision model for facial emotion detection
Hardware implementation of a fault-tolerant Hopfield Neural Network on FPGAs
A novel deep model with multi-loss and efficient training for person re -identification
A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels
Function approximation using serial input neuron
A CPG system based on spiking neurons for hexapod robot locomotion
Human activity recognition based on smartphone and wearable sensors using multiscale DCNN ensemble
Hierarchical modeling for first-person vision activity recognition
G-GANISR: Gradual generative adversarial network for image super resolution
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method
Prescribed-time prescribed performance control for stochastic nonlinear input-delay systems with arbitrary bounded initial error
Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches
A novel capsule network based on Multi-Order Descartes Extension Transformation
Selecting label-dependent features for multi-label classification
A novel algorithm for wavelet neural networks with application to enhanced PID controller design
The sensori-motor model of the hippocampal place cells
Language relatedness evaluation for multilingual neural machine translation
Fuzzy qualitative deep compression network
Applications of Laplacian spectra for n-prism networks
Clustering with dynamic bipartite graph learning
SG-DSN: A Semantic Graph-based Dual-Stream Network for facial expression recognition
Neural network for multi-class classification by boosting composite stumps
Real-time incipient fault detection for electrical traction systems of CRH2
Distributed discrete-time optimization of heterogeneous multi-agent networks with unbounded position constraints and nonconvex velocity constraints
Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review
Networks of spiking neurons in modeling and problem solving
Emotion model of associative memory possessing variable learning rates with time delay
Razumikhin-type theorems on exponential stability of stochastic functional differential equations on networks
AA-mDLAM: An accelerated ADMM-based framework for training deep neural networks
PGNet: Panoptic parsing guided deep stereo matching
A downward biased estimator of spike timing information
Social recommendation via multi-view user preference learning
Multifocus image fusion with enhanced linear spectral clustering and fast depth map estimation
LLR: Learning learning rates by LSTM for training neural networks
Dimension-driven feature complementation for visible-infrared person re-identification
A robust model of the neuronal regulator of the lower urinary tract based on artificial neural networks
Semantic head enhanced pedestrian detection in a crowd
Binary/ternary extreme learning machines
Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-Means clustering for mobile health monitoring systems
Genetic intuitionistic weighted fuzzy k -modes algorithm for categorical data
Finite-time synchronization of fractional-order memristive recurrent neural networks with discontinuous activation functions
PSIDP: Unsupervised deep hashing with pretrained semantic information distillation and preservation
Group sparse regularization for deep neural networks
RANet: A relation-aware network for two-view correspondence learning
Learning graph normalization for graph neural networks
Multi-factor embedding GNN-based traffic flow prediction considering intersection similarity
A novel reinforcement learning algorithm for virtual network embedding
Streaming clustering with Bayesian nonparametric models
Non-negative isomorphic neural networks for efficient accelerators
Robust and structural sparsity auto-encoder with L21-norm minimization
Weakly and semi supervised detection in medical imaging via deep dual branch net
Evidential KNN-based condition monitoring and early warning method with applications in power plant
A Region based Salient Stacking Optimized Detector (ReSOD) for an effective anomaly detection and video tracking in surveillance systems
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
Recurrent neural networks: A constructive algorithm, and its properties
Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments
Robust stability analysis for discrete-time uncertain neural networks with leakage time-varying delay
Control chart pattern recognition with variable window size for imbalanced data based on convolutional neural network with a convolutional block attention module
Global exponential stability of delayed cellular neural networks with impulses
Immersive visualization of visual data using nonnegative matrix factorization
SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning
Matrix recovery with implicitly low-rank data
Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization
GKA: Graph-guided knowledge association for fine-grained visual categorization
Pedestrian identification based on fusion of multiple features and multiple classifiers
Empirical investigation of active learning strategies
Adaptive gait generation for humanoid robot using evolutionary neural model optimized with modified differential evolution technique
A multi-view relational fuzzy c-medoid vectors clustering algorithm
Wavelet kernel function based multiscale LSSVM for elliptic boundary value problems
Unsupervised selective rank fusion for image retrieval tasks
Dedicated hardware architectures for intelligent systems
Semi-GDE: generative distribution estimation for semi-supervised medical landmark localization
A 3D model recognition mechanism based on deep Boltzmann machines
DynHEN: A heterogeneous network model for dynamic bipartite graph representation learning
Set-label modeling and deep metric learning on person re-identification
Supporting supervised learning by self-organization
Online optimal consensus control of unknown linear multi-agent systems via time-based adaptive dynamic programming
Accommodation to outliers in identification of non linear SISO systems with neural networks
DGI-GRU: Integrating dynamic graph convolution for enhanced spatio-temporal information extraction
Coherent averaging estimation autoencoders applied to evoked potentials processing
Spiking statistics in noisy hippocampal interneurons
Hybrid of human learning optimization algorithm and particle swarm optimization algorithm with scheduling strategies for the flexible job-shop scheduling problem
A distributed strategy for games in Euler-Lagrange systems with actuator dead zone
A network view of the structure of center/surround modulations of V1 receptive field properties in visual and cortical spaces
Face detection using deep learning: An improved faster RCNN approach
Privacy-preserving secure bipartite consensus of stochastic nonlinear multi-agent systems via double dynamic event-triggered control under DoS attacks and markovian switching networks
Hybrid cross-modal interaction learning for multimodal sentiment analysis
Distributed consensus optimal fault-tolerant control for nonlinear multi-agent systems with external disturbance
Synchronization control of stochastic memristor-based neural networks with mixed delays
A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start
On the implicit acquisition of a context-free grammar by a simple recurrent neural network
A new robust training algorithm for a class of single-hidden layer feedforward neural networks
Empirical mode decomposition: a method for analyzing neural data
Extreme learning machines for soybean classification in remote sensing hyperspectral images
Adaptive multilevel regression integration with error compensation for online soft sensing of data streams
A human binocular-vision model based on information theory for luminance and chromaticity at isoluminance suprathreshold changes
3D human gesture capturing and recognition by the IMMU-based data glove
Non-fragile filtering for fuzzy stochastic systems over fading channel
Humor detection via an internal and external neural network
Hierarchical extreme learning machine for feedforward neural network
Distributed variance-constrained robust filtering with randomly occurring nonlinearities and missing measurements over sensor networks
Distributed optimization for consensus performance of delayed fractional-order double-integrator multi-agent systems
Light weight object detector based on composite attention residual network and boundary location loss
Hopf bifurcation analysis of a delayed fractional-order genetic regulatory network model
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error
Streamlining advanced taxi assignment strategies based on legal analysis
A Comprehensive survey on ear recognition: Databases, approaches, comparative analysis, and open challenges
Variational inference-aided neural architecture search for secure deep learning implementation
Efficient image denoising with heterogeneous kernel-based CNN
Graph neural networks meet with distributed graph partitioners and reconciliations
Reducing conservativeness of stabilization conditions for switched TS fuzzy systems
Neural implementation of coarse-to-fine processing in V1 simple neurons
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets
Orthogonal multi-view analysis by successive approximations via eigenvectors
Size and position invariant visual representation supports retinotopic maps via selective backward paths: A dynamic second order neural network model for a possible functional role of recurrent connections in the visual cortex
Pyramid fully residual network for single image de-raining
FedBoosting: Federated learning with gradient protected boosting for text recognition
Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0
Recursively global and local discriminant analysis for semi-supervised and unsupervised dimension reduction with image analysis
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation
Focus and imagine: Occlusion suppression and repairing transformer for occluded person re-identification
Class similarity weighted knowledge distillation for few shot incremental learning
Finite-time state estimation for delayed periodic neural networks over multiple-packet transmission
Self-attention based speaker recognition using Cluster-Range Loss
Multifractality in chaos and bursting oscillations in 4D heterogeneous Hopfield neural network with a memristor-based adaptive activation function
Dynamic graph neural network for fake news detection
Finite-horizon robust formation-containment control of multi-agent networks with unknown dynamics
KeyCLD: Learning constrained Lagrangian dynamics in keypoint coordinates from images
Hopf-pitchfork bifurcation in an inertial two-neuron system with time delay
Decade progress of palmprint recognition: A brief survey
Designing palmprint based recognition system using local structure tensor and force field transformation for human identification
Multi-class fruit detection based on image region selection and improved object proposals
A semi-supervised approach for dimensionality reduction with distributional similarity
Membership-Function-Dependent Fuzzy Control of Reaction-Diffusion Memristive Neural Networks With a Finite Number of Actuators and Sensors
VLSI implementation of pulsating neural networks
Kernel based gene expression pattern discovery and its application on cancer classification
Role of feedback loops in the scorpion circadian system
Projective lag synchronization of Markovian jumping neural networks with mode-dependent mixed time-delays based on an integral sliding mode controller
Concept drift detection based on radial distance
Joint Conditional Diffusion Model for image restoration with mixed degradations
CRISP: A cross-modal integration framework based on the surprisingly popular algorithm for multimodal named entity recognition
Deep contrastive representation learning for multi-modal clustering
Coherent response of the Hodgkin-Huxley neuron in the high-input regime
Distributed cooperative control for a class of stochastic upper-triangular nonlinear multi-agent systems
Single-morphing attack detection using few-shot learning and triplet-loss
Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning
Clustering-driven unsupervised deep hashing for image retrieval
Adaptive fuzzy command filtering control for nonlinear MIMO systems with full state constraints and unknown control direction
Mean-square global exponential stability in Lagrange sense for delayed recurrent neural networks with Markovian switching
Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers
Adaptive neural network control for a two continuously stirred tank reactor with output constraints
A hybrid artificial neural network-GJR modeling approach to forecasting currency exchange rate volatility
Analysis of synchronization in the response of neurons to noisy periodic synaptic input
Periodic update rule with Q-learning promotes evolution of cooperation in game transition with punishment mechanism
Converting SVDD scores into probability estimates: Application to outlier detection
Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests
LSTM variants meet graph neural networks for road speed prediction
Collision analysis of a parallel keyed hash function based on chaotic neural network
Inference guided feature generation for generalized zero-shot learning
ATTCry: Attention-based neural network model for protein crystallization prediction
Automatic topic labeling using graph-based pre-trained neural embedding
Class Incremental Learning with probability dampening and cascaded gated classifier
A model of hippocampal circuitry mediating goal-driven navigation in a familiar environment
Feature semantic alignment network for rotating machinery domain generalization fault diagnosis with limited labeled samples
H ∞ control of continuous-time interval type-2 T-S fuzzy systems via dynamic output feedback controllers
A powerful 3D model classification mechanism based on fusing multi-graph
Conditional plane-based multi-scene representation for novel view synthesis
An analysis on global robust exponential stability of neural networks with time-varying delays
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances
Joint user-interest and social-influence emotion prediction for individuals
Spiking signal processing: Principle and applications in control system
Federating clustering and cluster labelling capabilities with a single approach based on feature maximization: French verb classes identification with IGNGF neural clustering
Kernel PLS based prediction model construction and simulation on theoretical cases
Scale in conscious experience: Is the brain too important to be left to biologists to study?: Conference report on The Third Appalachian Conference on Behavioral Neurodynamics, Radford University, September 9-12, 1994
Experimenting WNN support in object tracking systems
Containment control of linear discrete-time fractional-order multi-agent systems with time-delays
A defense mechanism against label inference attacks in Vertical Federated Learning
Reconstructive discriminant analysis: A feature extraction method induced from linear regression classification
Terahertz image segmentation using k-means clustering based on weighted feature learning and random pixel sampling
Training sensory-motor behavior in the connectome of an artificial C. elegans
Partial maximum correlation information: A new feature selection method for microarray data classification
A 3D UNet-based fusion network for brain tumor segmentation with missing modalities
Online multiple object tracking via exchanging object context
Multi-resolution QP-adaptive generative face video compression using multi-level generator
A high-efficiency spaceborne processor for hybrid neural networks
Stability of neural networks with delay and variable-time impulses
An overview of data-driven battery health estimation technology for battery management system
Improving distant supervised relation extraction with entity enhanced Res-BiLSTM and self-rectified gate
Robust recurrent fuzzy neural network control for linear synchronous motor drive
Deep learning driven blockwise moving object detection with binary scene modeling
COB method with online learning for object tracking
Adaptive basis function for artificial neural networks
On least trimmed squares neural networks
Semi-supervised learning with varifold Laplacians
SAMOccNet:Refined SAM-based surrounding semantic occupancy perception for autonomous driving
Anti-synchronization for Markovian neural networks via asynchronous intermittent control
Correlation minimizing replay memory in temporal-difference reinforcement learning
BCDAN: A balanced method for community detection in attributed networks
Classification of natural images inspired by the human visual system
No reference image quality assessment using sparse feature representation in two dimensions spatial correlation
Robust adaptive decentralized control for a class of noaffine stochastic nonlinear interconnected systems
A clustering-based approach for inferring recurrent neural networks as gene regulatory networks
Rate synchronization as a deterministic signal in neural spike trains
Calibration of software quality: Fuzzy neural and rough neural computing approaches
On the distance metric learning between cross-domain gaits
Robust tracking control strategy for a quadrotor using RPD-SMC and RISE
On using permutation tests to estimate the classification significance of functional magnetic resonance imaging data
Modeling binding and cross-modal learning in Markov logic networks
Global optimal ICA and its application in MEG data analysis
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Divide and conquer orthogonality principle for parallel optimizations in TSP
Analyzing mechanosensory transduction by identifying invariant directions in stimulus space
Noise-aware co-segmentation with local and global priors
Scale invariant representation of imbalanced points
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer's disease
Self-organized topological structures in neural networks for the visual cortex of the brain
Large language model with iteratively prompt for temporal knowledge graph completion
Ensemble anomaly score for video anomaly detection using denoise diffusion model and motion filters
PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation
Actively constructing an effective training set by expected gain maximization criterion
Simulating the transverse non-patterning problem
Intracranial pressure model in intensive care unit using a simple recurrent neural network through time
The effect of noise on the synchronization dynamics of the Kuramoto model on a large human connectome graph
An integrated fault estimation and accommodation design for a class of complex networks
In vitro neuronal networks: evidence for synaptic plasticity
AttackTracer: Semantic-level adversarial attack location traceability via evidential diffusion model
Robust stabilization and H ∞ control for nonlinear stochastic T-S fuzzy Markovian jump systems with mixed time-varying delays and linear fractional uncertainties
Social group recommendation based on dynamic profiles and collaborative filtering
Advances in extreme learning machines (ELM2012)
Hybrid fuzzy clustering methods based on improved self-adaptive cellular genetic algorithm and optimal-selection-based fuzzy c-means
Exponential stabilization for fractional intermittent controlled multi-group models with dispersal
LQ control for networked control systems with lossy links
Safety robustness of reinforcement learning policies: A view from robust control
Research on historical phase division of terrorism: An analysis method by time series complex network
A neural network algorithm for the no-three-in-line problem
CPU load prediction using neuro-fuzzy and Bayesian inferences
Evolutionary k-means for distributed data sets
Delay-enhanced signal transmission in a coupled excitable system
A Markov regime switching model for asset pricing and ambiguity measurement of stock market
Knowledge graph and large language model integration with focus on educational applications: A survey
Intermittent quasi-synchronization criteria of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via Razumikhin-type approach
Set representative vector and its asymmetric attention-based transformation for heterogeneous set-to-set matching
Extending ICA for finding jointly dependent components from two related data sets
A semantically enhanced dual encoder for aspect sentiment triplet extraction
MFGDAFormer: Multi-scale frequency-guided dual-branch attention transformer for low-light image enhancement
Grade: Generative graph contrastive learning for multimodal recommendation
Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation
Online kernel learning with nearly constant support vectors
Modeling calcium wave oscillations in astrocytes
Output consensus of heterogeneous linear MASs by self-triggered MPC scheme
Neuron PRM: a framework for constructing cortical networks
Photovoltaic forecast based on hybrid PCA-LSSVM using dimensionality reducted data
Modelling and analysis of social contagion in dynamic networks
A Deep Learning-Based Multimodal Architecture to predict Signs of Dementia
Implementing plastic weights in neural networks using low precision arithmetic
On semantic-instructed attention: From video eye-tracking dataset to memory-guided probabilistic saliency model
Invisible trigger image: A dynamic neural backdoor attack based on hidden feature