yusuke1997/dblp-id-title huggingface dataset:
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers
A stochastic primal-dual algorithm for composite constrained optimization
Domain-control prompt-driven zero-shot relational triplet extraction
Output synchronization of multi-agent systems via reinforcement learning
Filter gate network based on multi-head attention for aspect-level sentiment classification
Finite-time synchronization of memristive Cohen-Grossberg neural networks with time delays
3D orbit selection for regional observation GEO SAR
A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers
fDESI: An open-source web application for visual bioinformatics pipeline design
Comprehensive evaluation chronic pelvic pain based on fuzzy matrix calculation
Convergence of a spreading activation neural network with application of simulating aphasic naming errors in Finnish language
Finite-time asynchronous state estimation for two-time-scale complex networks with sojourn probabilities and event-based AF relay protocols
Defect detection in CT scans of cast aluminum parts: A machine vision perspective
A fractional-order visual neural model for small target motion detection
Deep top similarity hashing with class-wise loss for multi-label image retrieval
Global synchronization between two fractional-order complex networks with non-delayed and delayed coupling via hybrid impulsive control
GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection
Balanced Spatial Feature Distillation and Pyramid Attention Network for Lightweight Image Super-resolution
Using a genetic algorithm to investigate efficient connectivity in associative memories
Analysis of spatiotemporal patterns in a model of olfaction
Stabilization and oscillations design for a family of cyclic boolean networks via nodes connection
Developing parallel ant colonies filtered by deep learned constrains for predicting RNA secondary structure with pseudo-knots
Multiobjective optimization technique for demand side management with load balancing approach in smart grid
Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback
Facial feature point detection: A comprehensive survey
Infrared small target detection using the global low-rank and local smoothness coupled representation with local structure
GPTGAN: Utilizing the GPT language model and GAN to enhance adversarial text generation
SLR: A million-scale comprehensive crossword dataset for simultaneous learning and reasoning
Conditional variational underwater image enhancement with kernel decomposition and adaptive hybrid normalization
Distributed power control for DERs based on networked multiagent systems with communication delays
Blind image deblurring via hybrid deep priors modeling
Improvement of the convergence speed of a discrete-time recurrent neural network for quadratic optimization with general linear constraints
On sampled-data control for stabilization of genetic regulatory networks with leakage delays
Augmenting the diversity of imbalanced datasets via multi-vector stochastic exploration oversampling
Real-time simulations of networks of Hodgkin-Huxley neurons using analog circuits
Global context-aware multi-scale features aggregative network for salient object detection
Computational biomodel of motion parallax for multiview 3D video conferencing
Safe dynamic sparse training of modified RBF networks for joint feature selection and classification
Guaranteed storage and stabilization of desired binary periodic orbits in three-layer dynamic binary neural networks
MAGNet: A multimodal knowledge-augmented graph network for early-stage misinformation detection
Insightful stress detection from physiology modalities using Learning Vector Quantization
Invariant feature extraction for gait recognition using only one uniform model
Face alignment by Component Adaptive Mechanism
SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package
Fractional-order embedding multiset canonical correlations with applications to multi-feature fusion and recognition
Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales
Removing artifacts from electrocardiographic signals using independent components analysis
A weighted adaptive-velocity self-organizing model and its high-speed performance
Sequence-similarity kernels for SVMs to detect anomalies in system calls
Stability of small-world networks of neural populations
Automatic context analysis for image classification and retrieval based on optimal feature subset selection
Multiple μ-stability analysis of complex-valued neural networks with unbounded time-varying delays
Granformer: A granular transformer net with linear complexity
Synchronization analysis for static neural networks with hybrid couplings and time delays
Joint Global-Local Frames Modeling to enhance semantic alignment for zero-shot long video editing
Synthesis of odor tracking algorithms with genetic programming
ASAT: Adaptively scaled adversarial training in time series
Music auto-tagging using deep Recurrent Neural Networks
A similarity measure based on subspace distance for spectral clustering
Structured random forest for label distribution learning
A fast affine-invariant features for image stitching under large viewpoint changes
Variable exponential neighborhood search for the long chain design problem
Spatiotemporal receptive fields maximizing temporal coherence in natural image sequences
Mode-dependent projective synchronization for neutral-type neural networks with distributed time-delays
Likelihood-based feature relevance for figure-ground segmentation in images and videos
Adaptive controller design-based neural networks for output constraint continuous stirred tank reactor
Complex ZFs for computing time-varying complex outer inverses
Improved delay-dependent stability analysis for linear time-delay systems: Based on homogeneous polynomial Lyapunov-Krasovskii functional method
Action anticipation for collaborative environments: The impact of contextual information and uncertainty-based prediction
Dynamics of VLSI analog decoupled neurons
An engineering model of the masking for the noise-robust speech recognition
Neural network based hybrid computing model for wind speed prediction
Adaptive exponential synchronization in mean square for Markovian jumping neutral-type coupled neural networks with time-varying delays by pinning control
Inferring single-cell trajectories via critical cell identification using graph centrality algorithm
Convergent design of piecewise linear neural networks
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture
Hyperspectral image shadow compensation via cycle-consistent adversarial networks
Visual-semantic consistency matching network for generalized zero-shot learning
Sentiment recognition of online course reviews using multi-swarm optimization-based selected features
A dual neural network for object detection in UAV images
CLAM: Closed-loop attention model for visual search
Training neural-net controllers with the help of trajectories generated with fuzzy rules (demonstrated with the truck backup task)
Assessment of liver fibrosis in chronic hepatitis B via multimodal data
Neural network adaptive tracking control for a class of uncertain switched nonlinear systems
Vector quantization based on ε-insensitive mixture models
A modified sliding mode approach for synchronization of fractional-order chaotic/hyperchaotic systems by using new self-structuring hierarchical type-2 fuzzy neural network
Deception detecting from speech signal using relevance vector machine and non-linear dynamics features
Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures
Selective negative correlation learning approach to incremental learning
Unsupervised urban scene segmentation via domain adaptation
Flexible kernels for RBF networks
Fetal cardiac ultrasound standard section detection model based on multitask learning and mixed attention mechanism
Automating t-SNE parameterization with prototype-based learning of manifold connectivity
Identification and control of nonlinear systems by a time-delay recurrent neural network
Attraction of Li-Yorke chaos by retarded SICNNs
Containment for linear multi-agent systems with exogenous disturbances
Editorial learning for multimodal data
Non-contact heart rate detection by combining empirical mode decomposition and permutation entropy under non-cooperative face shake
Network properties of a model for conscious and unconscious mental processes
Dynamic camera configuration learning for high-confidence active object detection
Spherical perspective on learning with normalization layers
On the parametric stability of a central pattern generator
Energy distribution in EV energy network under energy shortage
Extreme learning machine for missing data using multiple imputations
Interpretable semi-parametric regression models with defined error bounds
Sparse two-dimensional local discriminant projections for feature extraction
Ethics-aware face recognition aided by synthetic face images
Finite-time topology identification and stochastic synchronization of complex network with multiple time delays
PDBI: A partitioning Davies-Bouldin index for clustering evaluation
Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method
Modeling recovery of rhythmic activity: Hypothesis for the role of a calcium pump
Enhancing end-to-end control in autonomous driving through kinematic-infused and visual memory imitation learning
Adaptive hybrid projective synchronization of two coupled fractional-order complex networks with different sizes
Mean-square stability of stochastic Clifford-valued Cohen-Grossberg neural networks with variable coefficients and time-varying delays
Weighted Jump in Random Walk graph sampling
Adaptive finite-time cluster synchronization of neutral-type coupled neural networks with mixed delays
Robust state estimation for discrete-time stochastic genetic regulatory networks with probabilistic measurement delays
Stability analysis of delayed Hopfield Neural Networks with impulses via inequality techniques
A thermophysical mechanism exploration of the brain: Motor cortex modeling with canonical ensemble theory
Incremental filter and wrapper approaches for feature discretization
Spatiotemporal and frequential cascaded attention networks for speech emotion recognition
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease
Encoding of dynamic visual stimuli by primate area MT neurons
A novel hypothesis-margin based approach for feature selection with side pairwise constraints
Neighborhood repartition-based oversampling algorithm for multiclass imbalanced data with label noise
Locality and similarity preserving embedding for feature selection
Sample-dependent graph construction with application to dimensionality reduction
Neural-network-based formation control with collision, obstacle avoidance and connectivity maintenance for a class of second-order nonlinear multi-agent systems
A new emotion model of associative memory neural network based on memristor
Transformer-based cross-modality interaction guidance network for RGB-T salient object detection
3D human motion prediction: A survey
Guided goal generation for hindsight multi-goal reinforcement learning
AppScalpel: Combining static analysis and outlier detection to identify and prune undesirable usage of sensitive data in Android applications
Empirical tests on BioHashing
Domain generalization in rotating machinery fault diagnostics using deep neural networks
Finite-time synchronization of delayed fractional-order heterogeneous complex networks
Fusion of clonal selection algorithm and differential evolution method in training cascade-correlation neural network
TCCT: Tightly-coupled convolutional transformer on time series forecasting
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size
Accurate segmentation of overlapping cells in cervical cytology with deep convolutional neural networks
Spike train analysis for single trial data
Adaptive structure generation and neuronal differentiation for memory encoding in SNNs
Three applications of neurocomputing in biomedical research
Posture transition identification on PD patients through a SVM-based technique and a single waist-worn accelerometer
Security control of multi-agent systems under false data injection attacks
A novel adaptive control method for a class of stochastic switched pure feedback systems
Visual relationship detection with recurrent attention and negative sampling
Support vector machines based neuro-fuzzy control of nonlinear systems
Aperiodically intermittent control for stabilization of random coupled systems on networks with Markovian switching
Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling
A parallel algorithm for skeletonizing images by using spiking neural P systems
Matrix projective synchronization for a class of discrete-time complex networks with commonality via controlling the crucial node
Spatial attention based visual semantic learning for action recognition in still images
Localization of epileptic foci by means of cortical imaging using a spherical head model
Multi-view spectral graph convolution with consistent edge attention for molecular modeling
Immune cooperation mechanism based learning framework
Dynamical mechanism for conduction failure behavior of action potentials related to pain information transmission
Immersion and invariance control of a class of nonlinear cascaded discrete systems
A role of a hierarchical dynamical map in cognition and binding different sensory modalities
Collision-free motion-constrained path planning for multiple Unmanned Delivery Vehicles based on heuristic deep reinforcement learning
Convergence speed of dynamic consensus with delay compensation
Recent advances in semantic computing and personalization
JROTM: Jointly reinforced object tracking with temporal content reference and motion guidance
Stochastic model and neural coding of large-scale neuronal population with variable coupling strength
Computational intelligence-based congestion prediction for a dynamic urban street network
Robust tracking via patch-based appearance model and local background estimation
Understanding mobile GUI: From pixel-words to screen-sentences
Face illumination compensation dictionary
Efficient data-driven behavior identification based on vision transformers for human activity understanding
Human scanpath estimation based on semantic segmentation guided by common eye fixation behaviors
Stimulus-evoked synchronization in neuronal models
On duration and dopamine modulation of sustained activity in prefrontal cortex using conductance-based network models
Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation
Novel auxiliary error compensation design for the adaptive neural control of a constrained flexible air-breathing hypersonic vehicle
A randomized ELM speedup algorithm
Fuzzy observer-based output feedback control design of discrete-time nonlinear systems: An extended dimension approach
Self-supervised graph autoencoder with redundancy reduction for community detection
An optimized second order stochastic learning algorithm for neural network training
A kernel-based fuzzy greedy multiple hyperspheres covering algorithm for pattern classification
Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction
K-nearest uphill clustering in the protein structure space
Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team
MEFPNet: A multi-scale enhanced feature pyramid network for similarity-confounded substation surface-defect detection
Decomposition of neural systems with nonlinear feedback using stimulus-response data
Fusing inherent and external knowledge with nonlinear learning for cross-media retrieval
Revisiting metric learning for few-shot image classification
Observer-based adaptive fuzzy funnel control for strict-feedback nonlinear systems with unknown control coefficients
Automatic stereoscopic video generation based on virtual view synthesis
Dynamic modular fuzzy neural classifier with tree-based structure identification
RFRN: A recurrent feature refinement network for accurate and efficient scene text detection
Learning from adaptive neural network control of an underactuated rigid spacecraft
Design and analysis of direct-action CMAC PID controller
Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation
A new image classification model based on brain parallel interaction mechanism
Gaze-based human intention prediction in the hybrid foraging search task
Electrical modeling of the cell-electrode interface for recording neural activity from high-density microelectrode arrays
Estimating expert prior knowledge from optimization trajectories
Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion
Role and member selection in team formation using resource estimation for large-scale multi-agent systems
TUMbRAIN: A transformer with a unified mobile residual attention inverted network for diagnosing brain tumors from magnetic resonance scans
A pattern-first pipeline approach for entity and relation extraction
Passivity-based distributed tracking control of uncertain agents via a neural network combined with UDE
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild
Logistic Neural Networks: Their chaotic and pattern recognition properties
Phase synchronization with harmonic wavelet transform with application to neuronal populations
Hybrid image summarization by hypergraph partition
Hierarchical cross-modal interaction network for multimodal fake news detection
ASPINNs: Auxiliary enhanced sparse physics-informed neural networks to solve the integro-delay differential equation with bioscience application
Robust license plate signatures matching based on multi-task learning approach
Deep learning based image classification for embedded devices: A systematic review
The Random Neural Network with Deep Learning Clusters in Smart Search
Distributed adaptive output consensus tracking of higher-order systems with unknown control directions
ABL-TC: A lightweight design for network traffic classification empowered by deep learning
Positive invariant and global exponential attractive sets of neural networks with time-varying delays
GEME: Dual-stream multi-task GEnder-based micro-expression recognition
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule
A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays
Caching mechanisms for habit formation in Active Inference
Robust visual tracking with channel attention and focal loss
Artifacts removal in EEG signal using a new neural network enhanced adaptive filter
Relative coordinates constraint for face alignment
Direct decentralized neural control for nonlinear MIMO magnetic levitation system
Adaptive online extreme learning machine by regulating forgetting factor by concept drift map
A hybrid domain learning framework for unsupervised semantic segmentation
Quantized consensus of second-order multi-agent systems via impulsive control
A neural network-based multi-agent classifier system
Non-uniform image compression using a biologically motivated selective attention model
A cross-modal edge-guided salient object detection for RGB-D image
Brain dynamics simulation of schizophrenia with chaotic neural networks
Graph-theoretic approach to exponential synchronization of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays
Body part boosting model for carried baggage detection and classification
Using continuous Hopfield neural network for solving a new optimization architecture model of probabilistic self organizing map
Discrete event simulation in the NEURON environment
TDHPPIR: An Efficient Deep Hashing Based Privacy-Preserving Image Retrieval Method
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints
MelodyTransformer: Improving lyric-to-melody generation by considering melodic features
Using the bagging approach for biclustering of gene expression data
Subclass consistency regularization for learning with noisy labels based on contrastive learning
A min-max optimization framework for sparse multi-task deep neural network
Artificial intelligence accelerates multi-modal biomedical process: A Survey
Prenatal and postnatal development of laterally connected orientation maps
Enhancing the confidence of deep learning classifiers via interpretable saliency maps
Hierarchical RBF networks and local parameters estimate
Intrinsic desynchronization properties of neurons containing dendritic rapidly activating K-currents
Deep learning-powered biomedical photoacoustic imaging
Robust output-feedback based vehicle lateral motion control considering network-induced delay and tire force saturation
Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance
A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearities
ContextAVO: Local context guided and refining poses for deep visual odometry
Delay-interval-dependent stability of recurrent neural networks with time-varying delay
Deep cascading network architecture for robust automatic modulation classification
Reinforcement learning-based robust formation control for Multi-UAV systems with switching communication topologies
TS 4 Net: Two-stage sample selective strategy for rotating object detection
Learning semantical dynamics and spatiotemporal collaboration for human pose estimation in video
Exponential synchronization of stochastic coupled neural networks with stochastic delayed impulsive effect
State estimator design for genetic regulatory networks with leakage and discrete heterogeneous delays: A nonlinear model transformation approach
Data augmentation for unbalanced face recognition training sets
A review on transfer learning in EEG signal analysis
RoSANE: Robust and scalable attributed network embedding for sparse networks
Revisiting Nyström extension for hypergraph clustering
Stud krill herd algorithm
Deep node clustering based on mutual information maximization
DPEC: Dual-Path Error Compensation for low-light image enhancement
Local distribution-based adaptive minority oversampling for imbalanced data classification
Motion planning and adaptive neural sliding mode tracking control for positioning of uncertain planar underactuated manipulator
Active learning based intervertebral disk classification combining shape and texture similarities
Automatic recognition of chewing noises in epileptic EEG based on period segmentation
Composite learning adaptive sliding mode control for AUV target tracking
Dual-referenced assistive network for action quality assessment
Impulsive synchronization of fractional order chaotic systems with time-delay
A multi-flexible video summarization scheme using property-constraint decision tree
Maximal cliques-based hybrid high-dimensional feature selection with interaction screening for regression
SSDM: Generated image interaction method based on spatial sparsity for diffusion models
ECG beat classification via deterministic learning
DACFusion: Dual Asymmetric Cross-Attention guided feature fusion for multispectral object detection