yusuke1997/dblp-id-title huggingface dataset:
SMS-Net: Sparse multi-scale voxel feature aggregation network for LiDAR-based 3D object detection
Real local-linearity preserving embedding
Learning fine-grained features via a CNN Tree for Large-scale Classification
Adaptive neural tracking control of nonlinear stochastic switched non-lower triangular systems with input saturation
ParaDC: Parallel-learning-based dynamometer cards augmentation with diffusion models in sucker rod pump systems
Adversarial learning with collaborative attention for facial makeup removal
Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties
Distributed task allocation of fleet-level maintenance: Dealing with stochastic durations
Learning kernel subspace for face recognition
Potts models with two sets of interactive dynamics
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
Link prediction in bipartite networks via effective integration of explicit and implicit relations
HDIdx: High-dimensional indexing for efficient approximate nearest neighbor search
Parallel double-conversion spiking neural network for world-centered recognition
Local Gabor maximum edge position octal patterns for image retrieval
Neighbor selection for multilabel classification
A multi-stream diffusion graph convolutional model with adaptive motion-aware attention and self-supervised pretraining for continuous sign language recognition
Semantic facial scores and compact deep transferred descriptors for scalable face image retrieval
Unsupervised model-guided online transfer learning framework for multiple fault detection of satellite control system
OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning
Deep Neural Networks for wireless localization in indoor and outdoor environments
Game-based hierarchical multi-armed bandit learning algorithm for joint channel and power allocation in underwater acoustic communication networks
Unsupervised adversarial domain adaptation with similarity diffusion for person re-identification
Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering
Rolling element bearing fault diagnosis using wavelet transform
Skeleton correspondence construction and its applications in animation style reusing
Divide-and-conquer based summarization framework for extracting affective video content
Jointly modeling content, social network and ratings for explainable and cold-start recommendation
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2018 Conference
Design of neural-fuzzy-based controller for two autonomously driven wheeled robot
Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers
Pinning sampled-data control for synchronization of complex networks with probabilistic time-varying delays using quadratic convex approach
Eliminating and mining strategies for open-world object proposal
RipMC: RIPPER for Multiclass Classification
Semantics-aware content-based recommender systems: Design and architecture guidelines
Center of rotation automatic measurement for fan-beam CT system based on sinogram image features
Robot learning in the era of foundation models: a survey
Disease-grading networks with ordinal regularization for medical imaging
ColonNeRF: High-fidelity neural reconstruction of long colonoscopy
Soft-computing techniques and ARMA model for time series prediction
ProPythia: A Python package for protein classification based on machine and deep learning
Interpretation of perceptron weights as constructed time series for EEG classification
Advances in computational intelligence: Selected and improved papers of the 12th International Work-Conference on Artificial Neural Networks (IWANN 2013)
A mixture varying-gain dynamic learning network for solving nonlinear and nonconvex constrained optimization problems
Enhancing structure modeling for relation extraction with fine-grained gating and co-attention
2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition
Aspect term extraction for opinion mining using a Hierarchical Self-Attention Network
Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters
On the nature of neural information: A critique of the received view 50 years later
Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts
Smooth approximation method for non-smooth empirical risk minimization based distance metric learning
A recurrent neural architecture mimicking cortical preattentive vision systems
Theoretical aspects of the SOM algorithm
Detecting collision from gray-level expansion by a neural network
6D object pose estimation via viewpoint relation reasoning
Enhancing instance search with weak geometric correlation consistency
Emerging command neuron circuitry in evolved autonomous agents
Cross-modal invariant learning with latent diffusion for reliable medical diagnosis under dynamic shifts
Stimulus specificity of cortico-cortical connections optimizes information transmission
Multi-level feature enhancement and dual attention mechanisms for improved osteoporosis diagnosis
Improving dynamic gesture recognition in untrimmed videos by an online lightweight framework and a new gesture dataset ZJUGesture
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression
Hippocampal mossy fibre boutons as dynamical synapses
Feature selection for neutral vector in EEG signal classification
Improved gradient leakage attack against compressed gradients in federated learning
Feature extraction and clustering for dynamic video summarisation
Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control
Human identification using finger vein and ECG signals
Blind separation of circularly distributed sources by neural extended APEX algorithm
Projection-preserving block-diagonal low-rank representation for subspace clustering
Attention-based label consistency for semi-supervised deep learning based image classification
Non-uniform Nyström approximation for sparse kernel regression: Theoretical analysis and experimental evaluation
A novel direct method to H∞ synchronization of switching inertial neural networks with mixed time-varying delays
Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps
A literature survey on kinship verification through facial images
Algorithmic description of hippocampal granule cell dendritic morphology
Analysis methods of coronary artery intravascular images: A review
Federated learning on non-IID data: A survey
A robot learning framework based on adaptive admittance control and generalizable motion modeling with neural network controller
AIP-Net: An anchor-free instance-level human part detection network
Evaluation of deep neural networks for traffic sign detection systems
Summary Proposal for the Development of an Architecture Neutral Distribution Format based upon Communicating Concurrent Processes
Electrical circuitry of an insect olfactory sensillum
Robust local tangent space alignment via iterative weighted PCA
Exponential synchronization of discrete-time mixed delay neural networks with actuator constraints and stochastic missing data
Approximate multiple kernel learning with least-angle regression
Feature-derived graph regularized matrix factorization for predicting drug side effects
Feature screening and variable selection for partially linear models with ultrahigh-dimensional longitudinal data
Bounding information leakage in machine learning
Aspect category sentiment analysis based on prompt-based learning with attention mechanism
On the use of conventional and statistical-learning techniques for the analysis of PISA results in Spain
Neural-network-based adaptive fixed-time control for stochastic multi-agent systems
Robust visual tracking based on interactive multiple model particle filter by integrating multiple cues
Support vector machine optimal control for mobile wheeled inverted pendulums with unmodelled dynamics
Gradient-based discriminative modeling for blind image deblurring
Visual music and musical vision
StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation
Sleep stage classification using fuzzy sets and machine learning techniques
On the performance of Hopfield network for graph search problem
Toward explainable artificial intelligence: A survey and overview on their intrinsic properties
Cognitive pedestrian detector: Adapting detector to specific scene by transferring attributes
teex: A toolbox for the evaluation of explanations
Hyperspectral target detection via exploiting spatial-spectral joint sparsity
Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012)
Stability analysis of Cohen-Grossberg neural networks with time-varying and distributed delays
A fast and robust 3D face recognition approach based on deeply learned face representation
Cascaded sliding mode force control for a single-rod electrohydraulic actuator
Multi-agent actor-critic with time dynamical opponent model
Dual regularized multi-view non-negative matrix factorization for clustering
The role of AMPA, GABA, [Ca 2+ ] i , and calcium stores in propagating waves in neuronal networks
Feature extraction using local structure preserving discriminant analysis
Recursive minimum component algorithms for parameter estimation of dynamic systems
Fastener anomaly detection for industrial assembly scenarios based on few-shot fine-grained component segmentation
Deep convolutional networks with residual learning for accurate spectral-spatial denoising
Applications of a neural network to watermarking capacity of digital image
3D mesh transformer: A hierarchical neural network with local shape tokens
Observer-based consensus of second-order multi-agent systems without velocity measurements
A model of sleep spindles generation
An effective hierarchical extreme learning machine based multimodal fusion framework
Robust optimal graph clustering
Classification of unbalance and misalignment in induction motors using orbital analysis and associative memories
DSGNN: A dynamic and static intentions integrated graph neural network for session-based recommendation
Localization of charging stations for electric vehicles using genetic algorithms
Thalamic inputs modulate cortical activity: Possibility to control the generation and the termination of seizure-like behaviour
A classifier task based on Neural Turing Machine and particle swarm algorithm
A real-time spike-timing classifier of spatio-temporal patterns
A least squares formulation of multi-label linear discriminant analysis
Distributed finite-time optimization algorithms with a modified Newton-Raphson method
Exponential synchronization of complex dynamical networks with time-varying inner coupling via event-triggered communication
Neural network-based adaptive fault tolerant consensus control for a class of high order multiagent systems with input quantization and time-varying parameters
MSFMoE: A multi-scale frequency filtering network with mixture of experts for time series forecasting
Twin extreme learning machines for pattern classification
M-GENE: Multiview genes expression network ensemble for bone metabolism-related gene classification
Task dependence of human theta: The case for multiple cognitive functions
Underwater self-supervised depth estimation
Adaptive neural controller for redundant robot manipulators and collision avoidance with mobile obstacles
Neighbor similarity and soft-label adaptation for unsupervised cross-dataset person re-identification
Phase space learning in an autonomous dynamical neural network
LLA: Loss-aware label assignment for dense pedestrian detection
FeatSync: 3D point cloud multiview registration with attention feature-based refinement
Beyond the visible: A survey on cross-spectral face recognition
AVS-Net: Point sampling with adaptive voxel size for 3D scene understanding
Addressing the multi-label imbalance for neural networks: An approach based on stratified mini-batches
Online personal verification by palmvein image through palmprint-like and palmvein information
A hybridization of Bayesian and neural learning
Global exponential stability in a Lagrange sense for memristive recurrent neural networks with time-varying delays
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification
Learning sensory representations with intrinsic plasticity
A multilevel clustering technique for community detection
Advances in computational intelligence and learning
Tremor suppression for master-slave teleoperated robot based on machine learning: A review
Particle swarm optimization with state-based adaptive velocity limit strategy
Leveraging discriminative data: A pathway to high-performance, stable One-shot Network Pruning at Initialization
Counting crowds using a scale-distribution-aware network and adaptive human-shaped kernel
Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information
Improving Hopfield neural network performance by fuzzy logic-based coefficient tuning
Special Issue on Advances in Self-organizing Maps
Detecting urban hot regions by using massive geo-tagged image data
Zeroing neural-dynamics approach and its robust and rapid solution for parallel robot manipulators against superposition of multiple disturbances
A soft-sensing method of dissolved oxygen concentration by group genetic case-based reasoning with integrating group decision making
Learning crowd behavior from real data: A residual network method for crowd simulation
Incorporating network structure with node contents for community detection on large networks using deep learning
Sampled-data non-fragile state estimation for delayed genetic regulatory networks under stochastically switching sampling periods
Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction
Functions bandlimited in frequency are free of the curse of dimensionality
Distributed predefined-time economic dispatch based on event-triggered strategy for microgrids under directed graphs
SAR speckle reduction using Laplace mixture model and spatial mutual information in the directionlet domain
Distributed set-membership filtering for complex networks with amplify-and-forward relays: A two-step ellipsoid method
Advances in neural networks
Accelerating training of radial basis function networks with Cascade-Correlation algorithm
Lagrange stability for delayed recurrent neural networks with Markovian switching based on stochastic vector Halandy inequalities
Multiple EEG channel attention based multi-task model for epileptiform activity quantification
Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations
Sparse augmented Lagrangian algorithm for system identification
Scale-Aware Frequency Attention network for super-resolution
TSCnet: A text-driven semantic-level controllable framework for customized low-light image enhancement
Minimum-energy synchronization for interconnected networks with non-periodical information silence
High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria
Multi-frame structure from motion using optical flow probability distributions
Deep radiomic signature with immune cell markers predicts the survival of glioma patients
Modeling short-term adaptation processes of visual motion detectors
Robust learning of Huber loss under weak conditional moment
Discriminative supplementary representation learning for novel-category classification
Location, location, location (and density) of gap junctions in multi-compartment models
A fast learning method for feedforward neural networks
An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data
Forgery face detection via adaptive learning from multiple experts
An analysis on containment control for discrete-time second-order multi-agent systems with asynchronous intermittent communication
Blur detection via deep pyramid network with recurrent distinction enhanced modules
Weak-edge sample extension for enhancing unsupervised feature learning
SWAP-Net: Neural network for seismic wave azimuth predictor based on single three-component recordings
How a neuron model can demonstrate co-existence of tonic spiking and bursting
Behaviour of two-compartment models
Ensemble of extreme learning machine for remote sensing image classification
Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron
Attractive and repulsive training to address inter-task forgetting issues in continual learning
Hyper-class representation of data
A comprehensive survey on automatic text summarization with exploration of LLM-based methods
Tuning properties of noisy cells with application to orientation selectivity in rat visual cortex
Unveiling the potential of graph coloring in feature set partitioning: A study on high-dimensional datasets
A new improved krill herd algorithm for global numerical optimization
Deep associative learning for neural networks
Neural Chinese word segmentation with dictionary
Compressive sensing via nonlocal low-rank tensor regularization
UniverDetect: Universal landmark detection method for multidomain X-ray images
Event-based H ∞ control for discrete Markov jump systems
Opposition-based krill herd algorithm with Cauchy mutation and position clamping
Multi-head collaborative learning for graph neural networks
IoU-guided Siamese network with high-confidence template fusion for visual tracking
A supervised dictionary learning and discriminative weighting model for action recognition
BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems
Hidden-layer visible deep stacking network optimized by PSO for motor imagery EEG recognition
Distance regularization energy terms in level set image segment model: A survey
A cross-feature mutual learning framework integrating multiple features for brain disorder diagnosis
DDQN-TS: A novel bi-objective intelligent scheduling algorithm in the cloud environment
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
Object-dependent sparse representation for extracellular spike detection
Ensemble of diluted attractor networks with optimized topology for fingerprint retrieval
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom
Leveraging diffusion and Flow Matching Models for demographic bias mitigation of facial attribute classifiers
Feature selection and classification using flexible neural tree
Neural network based adaptive dynamic surface control for cooperative path following of marine surface vehicles via state and output feedback
Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields
A robust and effective fuzzy adaptive equalizer for powerline communication channels
Bipartite consensus for multi-agent systems over signed networks: A novel dynamic event-triggered mechanism
Soft estimation by hierarchical classification and regression
Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks
Single image super-resolution with multi-level feature fusion recursive network
Textual sentiment analysis via three different attention convolutional neural networks and cross-modality consistent regression
A model for neuronal gamma and theta oscillations by two networks of hippocampal interneurons
A multi-constrained zeroing neural network for time-dependent nonlinear optimization with application to mobile robot tracking control
Accurate ROI localization and hierarchical hyper-sphere model for finger-vein recognition
Distributed node-to-node consensus of multi-agent systems with time-varying pinning links
An IGAP-RBFNN-based secondary control strategy for islanded microgrid-cyber physical system considering data uploading interruption problem
Notes on "Recurrent neural network model for computing largest and smallest generalized eigenvalue"
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems
Adaptive sliding mode control using a novel fully feedback recurrent neural network for quad-rotor UAVs
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts
Simulation of spiking neural networks -- architectures and implementations
ELM parameter estimation in view of maximum likelihood
Finite-time synchronization of multi-weighted complex dynamical networks with and without coupling delay
Outline of a linear neural network
Non-reduced order strategies for global dissipativity of memristive neutral-type inertial neural networks with mixed time-varying delays
Neural-networks-based adaptive control of flexible robotic arms
Generalized passivity of coupled neural networks with directed and undirected topologies
A dual CNN-RNN for multiple people tracking
Robust delay-depent stability criteria for uncertain neural networks with two additive time-varying delay components
Learning Associations by Self-Organization: The LASSO model
Rank-constrained correspondence network for few-shot segmentation
Generating adversarial examples with input significance indicator
High-conductance states in a mean-field cortical network model
Residual compensation extreme learning machine for regression
Double-boundary awareness of shared categories for source-free universal domain adaptation
Robust Quadratic Programming for MDPs with uncertain observation noise
Partitioned online sequential extreme learning machine for large ordered system modeling
Sentiment analysis through critic learning for optimizing convolutional neural networks with rules
Joint image fusion and super-resolution for enhanced visualization via semi-coupled discriminative dictionary learning and advantage embedding
Adaptive echo state network control for a class of pure-feedback systems with input and output constraints
Imbalanced data learning by minority class augmentation using capsule adversarial networks
The pyramid quantized Weisfeiler-Lehman graph representation
Approximation capability of interpolation neural networks
Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms
A transformer-based dual contrastive learning approach for zero-shot learning
A cooperative expert based support vector regression (Co-ESVR) system to determine collar dimensions around bridge pier
Global stability analysis of S -asymptotically ω -periodic oscillation in fractional-order cellular neural networks with time variable delays
Global attention network with rain prior for real time single image deraining
Salient object detection via multi-scale attention CNN
Personalized image observation behavior learning in fixation based personalized salient object segmentation
Domain estimation and coupled controller design for high-dimensional nonlinear multi-agent systems
A delay decomposition approach to delay-dependent passivity analysis for interval neural networks with time-varying delay
A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images
A novel approach for automatic detection of linear and nonlinear dependencies between data by means of autoencoders
Distributed H ∞ -consensus filtering for target state tracking over a wireless filter network with switching topology, channel fading and packet dropouts
UCFFormer: Recognizing human actions from multimodal sensors using unified contrastive fusion transformer
Speech emotion recognition based on feature selection and extreme learning machine decision tree
Semantic segmentation with hybrid pyramid pooling and stacked pyramid structure
Conceptual space based model fitting for multi-structure data