yusuke1997/dblp-id-title huggingface dataset:
Exploring attention mechanisms based on summary information for end-to-end automatic speech recognition
Global and local multi-view multi-label learning
Exponential stability of Cohen-Grossberg-type BAM neural networks with time-varying delays via impulsive control
Behavioral simulation and synthesis of biological neuron systems using synthesizable VHDL
Quantitative measure of complexity of the dynamic event-related EEG data
Ear recognition: More than a survey
Frequency switches in inhibitory networks with anesthetics
Saturation function-based fixed/predefined-time synchronization of impulsive quaternion-valued neural networks
Graph Neural Network with curriculum learning for imbalanced node classification
Block attractor in spatially organized neural networks
Prompt-driven graph distillation: Enabling single-layer MLPs to outperform Deep Graph Neural Networks in graph-based tasks
GCD-Net: Global consciousness-driven open-vocabulary semantic segmentation network
Time series features and fuzzy memberships combination for time series classification
Neural adaptive tracking control for a class of high-order non-strict feedback nonlinear multi-agent systems
Atrous convolutions spatial pyramid network for crowd counting and density estimation
A deep neural network model with physics-guided term for automatic identification of atmospheric fronts
Neural coupled central pattern generator based smooth gait transition of a biomimetic hexapod robot
Synchronization as a mechanism for attentional gain modulation
Multi-modal constraint propagation via compatible conditional distribution reconstruction
KPDet: Keypoint-based 3D object detection with Parametric Radius Learning
Penalty based robust learning with noisy labels
Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs
A new method of image classification based on local appearance and context information
An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization
A semi-parametric test based on a quasi-likelihood approach for comparing the estimated spectra of two neural spike trains
Learning temporal patterns by redistribution of synaptic efficacy
Robust on-line nonlinear systems identification using multilayer dynamic neural networks with two-time scales
Robust object tracking using a spatial pyramid heat kernel structural information representation
Probabilistic routing using multimodal data
Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks
Distributed pairwise algorithms with gradient descent methods
Multi-task least squares twin support vector machine for classification
MMSVC: An efficient unsupervised learning approach for large-scale datasets
A statistical approach to neural population dynamics: Theory, algorithms, simulations
Analyzing human gait and posture by combining feature selection and kernel methods
Processing with cell assemblies
CYBERCHILD: A database of the microscopic development of the postnatal human cerebral cortex from birth to 72 months
Stochastic weight pruning and the role of regularization in shaping network structure
Evaluating QoE in VoIP networks with QoS mapping and machine learning algorithms
Analyzing Chinese text with clause relevance structure
Salient region detection via simple local and global contrast representation
Video summarization via block sparse dictionary selection
An active contour model reinforced by convolutional neural network and texture description
Deep embedding kernel
PrePCT: Traffic congestion prediction in smart cities with relative position congestion tensor
Knowledge extraction using data mining for multi-class fault diagnosis of induction motor
Reconstruction of normal and albedo of convex Lambertian objects by solving ambiguity matrices using SVD and optimization method
Adaptive neural network control of a flexible string system with non-symmetric dead-zone and output constraint
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
Brain state model: A novel method to represent the rhythmicity of object-specific selective attention from magnetoencephalography data
Anchor Ball Regression Model for large-scale 3D skull landmark detection
Product quantization with dual codebooks for approximate nearest neighbor search
Consensus of discrete-time third-order multi-agent systems in directed networks
Reinforcement learning control for coordinated manipulation of multi-robots
Randomly translational activation inspired by the input distributions of ReLU
Pattern classification using a new border identification paradigm: The nearest border technique
Temporal code versus rate code for binary Information Sources
Monocular depth estimation with guidance of surface normal map
Beyond bumps: Spiking networks that store sets of functions
Event-triggered H∞ control for highly dissipative spatiotemporal process via ADP: Application to industrial sintering process
Improved integral inequalities for stability analysis of delayed neural networks
A learning-based framework for topology-preserving segmentation using quasiconformal mappings
Motion detection and characterization by an excitable membrane: The "bow wave" model
Regularized multi-view learning machine based on response surface technique
Semantic-consistent cross-modal hashing for large-scale image retrieval
Learning similarity for semantic images classification
Registration of a 3D mouse brain atlas with brain microstructure data
Appearance based pedestrians' head pose and body orientation estimation using deep learning
Do inpainting yourself: Generative facial inpainting guided by exemplars
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks
TransLevelSet: Integrating vision transformers with level-sets for medical image segmentation
Bridging the gap between one-to-many and one-to-one label assignment via NMS-aware alignment module
Memory augmented convolutional neural network and its application in bioimages
Coefficient of variation vs. mean interspike interval curves: What do they tell us about the brain?
Object recognition and tracking with maximum likelihood bidirectional associative memory networks
Gaussian-based R-CNN with large selective kernel for rotated object detection in remote sensing images
On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
Cross-view graph matching for incomplete multi-view clustering
Adaptive fuzzy prescribed performance controller design for a class of uncertain fractional-order nonlinear systems with external disturbances
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks
Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models
Adaptive spatial partition learning for image classification
Zero-shot learning for action recognition using synthesized features
A graph-theoretic approach to exponential stability of stochastic complex networks with time-varying delays
Synchronization for neural networks over event-triggered multi-channel: Relay channels under cyber-attacks
Deep keypoints adversarial attack on face recognition systems
Chaos in a quantum neuron: An open system approach
Learning deep discriminative face features by customized weighted constraint
Multi-instance learning based on representative instance and feature mapping
Constructing prediction intervals for landslide displacement using bootstrapping random vector functional link networks selective ensemble with neural networks switched
NEU-MODEL: A multi-level object-oriented dynamic emulation laboratory
Learning sequential and general interests via a joint neural model for session-based recommendation
Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization
Non-flat function estimation with a multi-scale support vector regression
Continuous convolutional object tracking in developmental robot scenarios
DLSP: A contrastive learning framework for disentangling long- and short-term preferences in next POI recommendation
TDPP-Net: Achieving three-dimensional path planning via a deep neural network architecture
Motion frequency exploration based force separator for surgical robots interacting with a beating heart
CardioID: learning to identification from electrocardiogram data
Style-adaptive photo aesthetic rating via convolutional neural networks and multi-task learning
Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
Improved discriminant sparsity neighborhood preserving embedding for hyperspectral image classification
A novel bacterial algorithm with randomness control for feature selection in classification
SoNeR: Social Network Ranker
Synchronization in duplex networks of coupled Rössler oscillators with different inner-coupling matrices
Accelerated masked transformer for dense video captioning
Distributed image understanding with semantic dictionary and semantic expansion
A new system of global fractional-order interval implicit projection neural networks
Functional gradients through the cortex, multisensory integration and scaling laws in brain dynamics
Incorporating attribute-level aligned comparative network for generalized zero-shot learning
A biophysical simulation of intrinsic and network properties of entorhinal cortex
Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks
Shape recovery by a generalized topology preserving SOM
Role of synaptic feedback and intrinsic voltage-gated currents in shaping cone light responses
Dynamic analysis of disease progression in Alzheimer's disease under the influence of hybrid synapse and spatially correlated noise
GST-memristor-based online learning neural networks
Making recommendations from top-N user-item subgroups
Cross domain mitotic cell recognition
Effect of dendritic backpropagating action potential on neural interaction
Learning from NN-based extended PID control for a class of high-order uncertain nonlinear systems
Atrous spatial pyramid convolution for object detection with encoder-decoder
Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol
Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms
FastPAD: A fast self-supervised image anomaly detection method based on patch aggregation and discrimination
High-order rotor Hopfield neural networks for associative memory
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks
Gradient surgery based on convolutional filters grouping for multi-task models in panoptic driving perception
PSO trained ANN-based differential protection scheme for power transformers
Recursively summarizing enables long-term dialogue memory in large language models
Pedestrian detection based on hierarchical co-occurrence model for occlusion handling
Generative models with kernel distance in data space
Bipolar radial basis function inferencing networks
An adaptive tracking controller for parallel robotic manipulators based on fully tuned radial basic function networks
Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm
Progressive expansion: Cost-efficient medical image analysis model with reversed once-for-all network training paradigm
General-purpose image quality assessment based on distortion-aware decision fusion
A color image decomposition model for image enhancement
Multi-label text categorization using L 21 -norm minimization extreme learning machine
Web music emotion recognition based on higher effective gene expression programming
Insensitive leader-following consensus for a class of uncertain multi-agent systems against actuator faults
Event-triggered consensus in nonlinear multi-agent systems with nonlinear dynamics and directed network topology
The expressivity and training of deep neural networks: Toward the edge of chaos?
Connection weights based on molecular mechanisms in Aplysia neuron synapses
Deep feature importance awareness based no-reference image quality prediction
Delay-dependent L 2 -L ∞ state estimation for neural networks with state and measurement time-varying delays
Mixture of von Mises-Fisher distribution with sparse prototypes
Neuroadaptive fault-tolerant control of state constrained pure-feedback systems: A collective backstepping design
Modeling response properties of V2 neurons using a hierarchical K-means model
Multi-level attentive deep user-item representation learning for recommendation system
Cross-scale fusion detection with global attribute for dense captioning
EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification
Artificial neural networks used in optimization problems
Fused GRU with semantic-temporal attention for video captioning
Two-dimensional subspace classifiers for face recognition
Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof
Global Context Volume Construction and Semantics-guided Disparity Refinement for Stereo Matching
A survey on Evolutionary Reinforcement Learning algorithms
Self-evolving function-link interval type-2 fuzzy neural network for nonlinear system identification and control
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
Android malware detection through machine learning on kernel task structures
Discriminative dictionary learning via Fisher discrimination K-SVD algorithm
A novel dual minimization based level set method for image segmentation
MSLMamba: Mamba-driven cross-modal fusion network with modality-specific learning for multimodal sentiment analysis
Neural networks performance in exchange rate prediction
AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection
MFC-Prov: Media forensics challenge image provenance evaluation and data analysis on large-scale datasets
CCMS: A nonlinear clustering method based on crowd movement and selection
An improved asynchronous batch gradient method for ridge polynomial neural network
Learning to predict diverse trajectory from human motion patterns
Explaining the black-box model: A survey of local interpretation methods for deep neural networks
Stabilization control of quaternion-valued fractional-order discrete-time memristive neural networks
Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons
Delay-dependent and order-dependent conditions for stability and stabilization of fractional-order memristive neural networks with time-varying delays
Exponential Discriminant Locality Preserving Projection for face recognition
EPQuant: A Graph Neural Network compression approach based on product quantization
Encoding-decoding-based distributed state estimation over sensor networks with limited sensing range under DoS attacks
Dual consistency semi-supervised nuclei detection via global regularization and local adversarial learning
An efficient method for online detection of polychronous patterns in spiking neural networks
SSLNet: A network for cross-modal sound source localization in visual scenes
Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification
Hierarchical Task-aware Temporal Modeling and Matching for few-shot action recognition
Recursive least squares projection twin support vector machines for nonlinear classification
Finite-time sliding mode control for networked singular Markovian jump systems with packet losses: A delay-fractioning scheme
3D Gaussian splatting technologies and extensions: A review
Secret image restoration with interpolation and social network search
Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures
Three dimensional object segmentation based on spatial adaptive projection for solid waste
An improved hybrid backtracking search algorithm based T-S fuzzy model and its implementation to hydroelectric generating units
Asymptotic evaluation of the information processing capacity in reservoir computing
Transient responses of activity-dependent synapses to modulated pulse trains
Adaptive fuzzy finite-time control for a class of switched nonlinear systems with unknown control coefficients
Dynamic supervisor for cross-dataset object detection
Parallel implementation of neocognitron on star topology: Theoretical and experimental evaluation
Sparse low rank factorization for deep neural network compression
Innovations in nature inspired optimization and learning methods
Context and locality constrained linear coding for human action recognition
Learning iterative quantization binary codes for face recognition
A survey of 2D shape representation: Methods, evaluations, and future research directions
Efficient traffic congestion estimation using multiple spatio-temporal properties
Localized twin SVM via convex minimization
On the tracking of dynamic functional relations in monkey cerebral cortex
WGLSM: An end-to-end line matching network based on graph convolution
Action unit detection and key frame selection for human activity prediction
Salient event detection via hypergraph convolutional network with cross-view self-supervised learning
Rotated graph similarity computation via graph transformer networks
MCMTNet: Advanced network architectures for EEG-based motor imagery classification
Enhancing multi-robot collaborative path planning via perception fusion in unknown environments
Design of robust H∞ state estimator for delayed polytopic uncertain genetic regulatory networks: Dealing with finite-time boundedness
MDBSCAN: A multi-density DBSCAN based on relative density
Addressing scale imbalance for small object detection with dense detector
Visual fire detection using deep learning: A survey
Power quality disturbances classification based on S-transform and probabilistic neural network
Attention-based full slice brain CT image diagnosis with explanations
Underdetermined blind separation of delayed sound sources in the frequency domain
Separation of sources using simulated annealing and competitive learning
Design of a chaotic neural network for training and retrieval of grayscale and binary patterns
A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Presenting the special issue on Rough-neuro computing : Preface
Dense attention networks for texture classification
Implementation of linear optics network for pattern recognition task via the generation of continuous variable entangled states
Action recognition based on RGB and skeleton data sets: A survey
Multi-object tracking with inter-feedback between detection and tracking
Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex
A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection
A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise
A dynamic algorithm for blind separation of convolutive sound mixtures
Associative memory of connectivity patterns
An asynchronous spiking chaotic neuron integrated circuit
Convergence of regular spiking and intrinsically bursting Izhikevich neuron models as a function of discretization time with Euler method
Distributed containment control for uncertain nonlinear multi-agent systems in non-affine pure-feedback form under switching topologies
A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients
Hierarchical language description knowledge base for LLM-based human pose estimation
Functional properties of a realistic model of dLGN
Adaptive neural finite-time containment control for nonlower triangular nonlinear multi-agent systems with dynamics uncertainties
Optimum associative neural network utilizing maximum likelihood
Transition-Aware Human Activity Recognition Using Smartphones
Two-dimensional color uncorrelated discriminant analysis for face recognition
Graph kernels for chemical compounds using topological and three-dimensional local atom pair environments
Noise-modulated neural networks as an application of stochastic resonance
Novel synchronization analysis for complex networks with hybrid coupling by handling multitude Kronecker product terms
Efficient pose estimation of rotationally symmetric objects
Trend-aware spatio-temporal fusion graph convolutional network with self-attention for traffic prediction
Investment behavior prediction in heterogeneous information network
Information transmission with renewal neurons
A machine learning-based forecasting system of perishable cargo flow in maritime transport
Neural network parallel computing for multi-layer channel routing problems
Collaboration of multiple SCARA robots with guaranteed safety using recurrent neural networks
Self-supervised spatial-temporal feature enhancement for one-shot video object detection
Scale-aware network with modality-awareness for RGB-D indoor semantic segmentation
Towards to Human Intention: A few-shot open-set object detection for X-ray hazard inspection
Locality-constraint discriminant feature learning for high-resolution SAR image classification
Diverse route-driven deep reinforcement learning for vehicle routing problems
An improved discrete backtracking searching algorithm for fuzzy multiproduct multistage scheduling problem
HMM with improved feature extraction-based feature parameters for identity recognition of gesture command operators by using a sensed Kinect-data stream
Online censoring-based learning algorithms for fully complex-valued neural networks
Single-frame supervision for temporal video anomaly grounding
Event-triggered consensus control based on maximum correntropy criterion for discrete-time multi-agent systems
Towards an embodied in vitro electrophysiology: the NeuroBIT project
Analytic separable dictionary learning based on oblique manifold
Decision system for a team of autonomous underwater vehicles - Preliminary report
Video classification and recommendation based on affective analysis of viewers
A fast convex conjugated algorithm for sparse recovery
Comment on "Facial expression recognition based on two-dimensional discriminant locality preserving projections" [Neurocomputing 71 (2008) 1730-1734]
A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF
A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selection
An intelligent conversational agent for educating the general public about HIV
From hippocampal neurons to broad spiking neural networks
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting
Software engineering tools and approaches for neuroinformatics: the design and implementation of the View-Primitive Data Model framework (VPDMf)
Stability in static delayed neural networks: A nonlinear measure approach
A new learning algorithm based on neuronal activity degree for spiking neural network
Bidirectional spatial-temporal traffic data imputation via graph attention recurrent neural network
Heterogeneous blocked CPU-GPU accelerate scheme for large scale extreme learning machine
Elastic extreme learning machine for big data classification
Filtered shallow-deep feature channels for pedestrian detection
Towards a sparse low-rank regression model for memorability prediction of images
Machine learning and deep learning for sentiment analysis across languages: A survey
A penalty-like neurodynamic approach to constrained nonsmooth distributed convex optimization
SBNN: Slimming binarized neural network
Dataset assembly for training Spiking Neural Networks
SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks
Detection of stimuli from multi-neuron activity: Empirical study and theoretical implications
A regression-type support vector machine for k-class problem