yusuke1997/dblp-id-title huggingface dataset:
Scene text localization using edge analysis and feature pool
Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning
Robust stability analysis of stochastic switched neural networks with parameter uncertainties via state-dependent switching law
Quantum machine learning in medical image analysis: A survey
Optimal event-triggered control for multi-agent systems with hierarchical framework
Bounded robust control design for uncertain nonlinear systems using single-network adaptive dynamic programming
Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities
Human action recognition using extreme learning machine based on visual vocabularies
Bayesian tensorized neural networks with automatic rank selection
Quaternion discrete cosine transformation signature analysis in crowd scenes for abnormal event detection
Driver's fatigue recognition based on yawn detection in thermal images
Burst detection algorithms for the analysis of spatio-temporal patterns in cortical networks of neurons
The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis
Predicting potential side effects of drugs by recommender methods and ensemble learning
Sequential extreme learning machine incorporating survival error potential
Dimensional complexity analysis of human EEG in visual processing
Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus
Using hybrid normalization technique and state transition algorithm to VIKOR method for influence maximization problem
Sample complexity of classification with compressed input
Electrorhythmogenesis and anaesthesia in a physiological mean field theory
A meta-learning approach to automatic kernel selection for support vector machines
Preparing lessons: Improve knowledge distillation with better supervision
Sparsely connected autoassociative fuzzy implicative memories and their application for the reconstruction of large gray-scale images
Efficient and dynamic layer-wise structured N:M pruning of deep neural networks
Rank pooling dynamic network: Learning end-to-end dynamic characteristic for action recognition
A DSC and MLP based robust adaptive NN tracking control for underwater vehicle
Stochastic stability of nonlinear discrete-time Markovian jump systems with time-varying delay and partially unknown transition rates
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization
SCAT: Shared-convolution adaptation tuning
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
Hybrid machine learning forecasting of solar radiation values
Towards accurate estimation for visual object tracking with multi-hierarchy feature aggregation
Enhancing multimodal large language models with efficient feature alignment and processing using state space models
Coupling weight elimination with genetic algorithms to reduce network size and preserve generalization
Distributed-delay-dependent exponential stability of impulsive neural networks with inertial term
Burning state recognition of rotary kiln using ELMs with heterogeneous features
Neural weight coordination-based vector-valued neural network synchronization
Passivity of linearly coupled reaction-diffusion neural networks with switching topology and time-varying delay
I2Net: Mining intra-video and inter-video attention for temporal action localization
Backpropagation and stochastic gradient descent method
Two Expectation-Maximization algorithms for Boolean Factor Analysis
Local and global structure-aware contrastive framework for entity alignment
Extensions of transductive learning for distributed ensemble classification and application to biometric authentication
A simple computational model for image retrieval with weighted multifeatures based on orthogonal polynomials and genetic algorithm
Mitigating covariate shift in non-colocated data with learned parameter priors
Brain microstructure database system: an exoskeleton to 3D reconstruction and modeling
Hierarchical encoder-decoder for image captioning
A novel low-rank model for MRI using the redundant wavelet tight frame
Metric learning for sequences in relational LVQ
Observer-based neural adaptive control for a class of MIMO delayed nonlinear systems with input nonlinearities
Low-rank tensor completion via combined non-local self-similarity and low-rank regularization
Population-Based Meta-Heuristic Optimization Algorithm Booster: An Evolutionary and Learning Competition Scheme
A computational model for the AVCN marginal shell with medial olivocochlear feedback: Generation of a wide dynamic range
On stability analysis of random impulsive and switching neural networks
Fuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model
Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data
Face recognition based on linear classifiers combination
Global Mask R-CNN for marine ship instance segmentation
Hyperbolic function-based fixed/preassigned-time stability of nonlinear systems and synchronization of delayed fuzzy Cohen-Grossberg neural networks
Low-rank representation induced missing-view recovery for incomplete multi-view clustering
Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning
A theoretical computer model of cellular modification associated with olfactory learning in the rat piriform cortex
Dynamically adjustable contrast enhancement from cortical background activity
EDNC: Evolving Differentiable Neural Computers
A novel few-shot learning method for synthetic aperture radar image recognition
Types of Markov random fields in deep learning: A review
Adaptive backstepping-based fuzzy tracking control scheme for output-constrained nonlinear switched lower triangular systems with time-delays
Asynchronous finite-time state estimation for semi-Markovian jump neural networks with randomly occurred sensor nonlinearities
ESERNet: Learning spectrogram structure relationship for effective speech emotion recognition with swin transformer in classroom discourse analysis
Fluctuation prediction of stock market index by Legendre neural network with random time strength function
Dynamic sampling-based interpolation algorithm for representation of clickable moving object in collaborative video annotation
CSubBT: A modular execution framework with self-adjusting capability for mobile manipulation system
A cross-entropy-based population-learning algorithm for discrete-continuous scheduling with continuous resource discretisation
Hybrid representation learning for cross-modal retrieval
A Window-Based Self-Attention approach for sentence encoding
Stochastic stability analysis of uncertain genetic regulatory networks with mixed time-varying delays
The neural model of nucleus laminaris and integration layer accomplishing hyperacuity in sound location in the barn owl
Task-aware adaptive attention learning for few-shot semantic segmentation
Adaptive semi-supervised dimensionality reduction with sparse representation using pairwise constraints
Classification by balanced binary representation
DLANet: A manifold-learning-based discriminative feature learning network for scene classification
Learning dual-pixel alignment for defocus deblurring
Self-weighted discriminative feature selection via adaptive redundancy minimization
Bag-of-concepts: Comprehending document representation through clustering words in distributed representation
Wind speed prediction using reduced support vector machines with feature selection
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation
Multivariate time series clustering based on fuzzy cognitive maps and community detection
Bayesian Kullback Ying-Yang dependence reduction theory
Computing minimum spanning circle by self-organization
Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation
Non-parametric Gaussian process movement primitive with via-point constraint for effective and safe robot skill learning
Spectral-based convolutional neural network without multiple spatial-frequency domain switchings
Optimal function approximation with ReLU neural networks
Neurospaces: Towards automated model partitioning for parallel computers
Lag synchronization for coupled neural networks with multistate or multiderivative couplings
PUAL: A classifier on trifurcate positive-unlabelled data
Speaker authentication system using soft computing approaches
An associative memory circuit based on physical memristors
GDViT: Group-level decorrelation-based vision transformer for domain generalization
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning
Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges
A gradient-type noise-tolerant finite-time neural network for convex optimization
Gated parametric neuron for spike-based audio recognition
Robust unsupervised feature selection via matrix factorization
MWENet: Multi-Wavelet Enhanced Network for seasonal-trend analysis in long-term forecasting
Bank distress in the news: Describing events through deep learning
Joint Domain Matching and Classification for cross-domain adaptation via ELM
Mutual information criterion for feature selection from incomplete data
Relevance search for predicting lncRNA-protein interactions based on heterogeneous network
Fast and simple gradient-based optimization for semi-supervised support vector machines
A Diverse Knowledge Perception and Fusion network for detecting targets and key parts in UAV images
Leader-following bipartite consensus of multiple uncertain Euler-Lagrange systems over signed switching digraphs
Advances in extreme learning machines (ELM2014)
Robust adaptive backstepping control for a class of nonlinear systems using recurrent wavelet neural network
PILHNB: Popularity, interests, location used hidden Naive Bayesian-based model for link prediction in dynamic social networks
A parallel vision approach to scene-specific pedestrian detection
Synchronization of delayed memristive neural networks by establishing novel Lyapunov functional
DermClinical: Clinical-oriented dataset and evaluation for computer-aided dermatological diagnosis
Online bandit optimization with stochastic inequality constraints
Intelligent design of an unconstrained layout for a flexible manufacturing system
MAMNet: Multi-path adaptive modulation network for image super-resolution
Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics
Low-redundancy motor imagery EEG decoding based on dynamic attention and feature reconstruction
HaemoKBS: A knowledge-based system for real-time, continuous categorisation of adverse reactions in blood recipients
Neural statics and dynamics
A novel multiple-controller incorporating a radial basis function neural network based generalized learning model
Multi-modal degradation feature learning for unified image restoration based on contrastive learning
Distributed output feedback consensus of discrete-time multi-agent systems
Existence and exponential stability of almost periodic solutions for Hopfield neural networks with delays
New delay-interval-dependent stability analysis of neutral type BAM neural networks with successive time delay components
Sufficient conditions for global attractivity of a class of neutral Hopfield-type neural networks
LEAD: LLM-enhanced deep reinforcement learning for stable decision-making in critical autonomous driving scenarios
Unsupervised segmentation of natural images based on statistical modeling
Deep graph alignment network
Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways
Using relevance feedback with short-term memory for content-based spine X-ray image retrieval
Relation between neuronal morphology and electrophysiology in the Kainate lesion model of Alzheimer's Disease
NormalNet: A voxel-based CNN for 3D object classification and retrieval
Augmented graph contrastive learning with view separation
Adaptive filtering under maximum mutual information criterion
Leveraging semantic segmentation with learning-based confidence measure
Improving intermediate reasoning in zero-shot chain-of-thought for large language models with filter supervisor-self correction
A data-driven detection optimization framework
Multiscale echo self-attention memory network for multivariate time series classification
A joint learning model for click-through prediction in display advertising
Predictive visual control framework of mobile robot for solving occlusion
MSER: Multi-scale event representation model for enhanced spatio-temporal feature extraction
Two separate processing streams in a cortical-type architecture
Two-dimensional multi-scale perceptive context for scene text recognition
A novel stabilization condition for a class of T-S fuzzy time-delay systems
A model of short and long range selective processing in neostriatum
Representative selection based on sparse modeling
Unsupervised learning of light field depth estimation with spatial and angular consistencies
Event-triggered consensus tracking for fractional-order multi-agent systems with general linear models
Adaptive optimal tracking control for nonlinear continuous-time systems with time delay using value iteration algorithm
Smooth group L 1/2 regularization for input layer of feedforward neural networks
Assessment of driving fatigue based on intra/inter-region phase synchronization
Relation-based multi-type aware knowledge graph embedding
DenseBAM-GI: Attention augmented DenseNet with momentum aided GRU for HMER
RoSiLC-RS:A Robust Similar Legal Case Recommender System Empowered by Large Language Model and Step-Back Prompting
Cell phenotyping in multi-tag fluorescent bioimages
Scale-aware attention network for weakly supervised semantic segmentation
Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks
Discriminative low-rank graph preserving dictionary learning with Schatten-p quasi-norm regularization for image recognition
A novel method to compute the weights of neural networks
Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps
Residual-time gated recurrent unit
A novel neural network ensemble architecture for time series forecasting
Simulations of the cultured granule neuron excitability
Weight matrix as a switch between line attractor and plane attractor of ring neural networks
Channel selection by Rayleigh coefficient maximization based genetic algorithm for classifying single-trial motor imagery EEG
Depth-Wise Convolutions in Vision Transformers for efficient training on small datasets
Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures
W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration
A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters
An evolutionary network model of epileptic phenomena
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism
Pyramid binary pattern features for real-time pedestrian detection from infrared videos
A computational trajectory formation model for the human sagittal plane movement at various motion durations
Exploiting indirect linear correlation for label distribution learning
Joint Specifics and Dual-Semantic Hashing Learning for Cross-Modal Retrieval
Biased ReLU neural networks
Adaptive dynamic programming-based optimal control of unknown nonaffine nonlinear discrete-time systems with proof of convergence
Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay
Aggregated center-based clustering algorithm based on principal component radius
EvoSTGAT: Evolving spatiotemporal graph attention networks for pedestrian trajectory prediction
Generalized topographic block model
Weight initialization with reference patterns
MR image super-resolution via manifold regularized sparse learning
Medical image denoising by parallel non-local means
Noise-driven adaptation: in vitro and mathematical analysis
Heterogeneous graph driven unsupervised domain adaptation of person re-identification
Distributed H ∞ consensus tracking control for multi-agent networks with switching directed topologies
RGB-D salient object detection via cross-modal joint feature extraction and low-bound fusion loss
Neural-networks-based distributed output regulation of multi-agent systems with nonlinear dynamics
Fourier-based type-2 fuzzy neural network: Simple and effective for high dimensional problems
C-RPNs: Promoting object detection in real world via a cascade structure of Region Proposal Networks
Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem
Drone-guard: A self-supervised deep learning framework for real-time spatiotemporal anomaly detection in UAV surveillance systems
Influence of bio-inspired activity regulation through neural thresholds learning in the performance of neural networks
Biophysical model of axonal pathfinding
A two-layer framework for appearance based recognition using spatial and discriminant influences
Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG
Continuous and discrete zeroing neural network for a class of multilayer dynamic system
Joint model for residual life estimation based on Long-Short Term Memory network
A novel multiple Nyström-approximating kernel discriminant analysis
View-based 3D model retrieval with probabilistic graph model
SOLO: Spatial online learning at once for spiking neural networks
Reducing human efforts in video segmentation annotation with reinforcement learning
SAMT-generator: A second-attention for image captioning based on multi-stage transformer network
Protein-protein interactions prediction based on ensemble deep neural networks
Single-node attacks for fooling graph neural networks
Fuzzy-model-based admissibility analysis for nonlinear discrete-time descriptor system with time-delay
DMPFuse: Infrared and visible image fusion via detail preservation and multi-path constraints
Incremental learning of LDA model for Chinese writer adaptation
Dataset distillation with pre-trained models: A contrastive approach
AEP: Aligning knowledge graphs via embedding propagation
Super-lampreys and wave energy: Optimised control of artificially-evolved, simulated swimming lamprey
Optimization of hysteretic chaotic neural network based on fuzzy sliding mode control
Multi-transformer based on prototypical enhancement network for few-shot relation classification with domain adaptation
Temporal coding with synchronization and acceleration as complementary mechanisms
Discovering social spammers from multiple views
Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions
Image parsing by loopy dynamic programming
Fuzzy performance evaluation of Evolutionary Algorithms based on extreme learning classifier
An efficient partial occluded face recognition system
A classification framework for investigating neural correlates of the limit of stability during weight-shifting in lower limb amputees
Passivity and synchronization of coupled reaction-diffusion neural networks with multiple coupling and uncertain inner coupling matrices
Structural analysis of regulatory DNA sequences using grammar inference and Support Vector Machine
Multi-attention based Deep Neural Network with hybrid features for Dynamic Sequential Facial Expression Recognition
Multiple agents' spatiotemporal data generation based on recurrent regression dual discriminator GAN
A principal component analysis algorithm with invariant norm
A survey on mutual information based medical image registration algorithms
Preventing oversmoothing in VAE via generalized variance parameterization
A cell assembly based model for the cortical microcircuitry
MAGO: Multi-Knowledge Aware and Global Strategy Sequence Optimizing Network for Emotional Support Conversation
Anchor transfer learning-based multi-view subspace clustering
Mobile robot path planning based on the attention mechanism and dual-stage sampling DDQN algorithm
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval
xStore: Federated temporal query processing for large scale RDF triples on a cloud environment
Neural-network-based control scheme for a class of nonlinear systems with actuator faults via data-driven reinforcement learning method
Syntactic systematicity in sentence processing with a recurrent self-organizing network
Handling language prior and compositional reasoning issues in Visual Question Answering system
Degradation-adaptive attack-robust self-supervised facial representation learning
Contractive Slab and Spike Convolutional Deep Boltzmann Machine
Video quality assessment with dense features and ranking pooling
The implicit regularization of gradient flow on separable datasets in ReLU networks
A robust hybrid method for text detection in natural scenes by learning-based partial differential equations
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
From local features to global perception - A perspective of Gestalt psychology from Markov random field theory
BTN: Neuroanatomical aligning between visual object tracking in deep neural network and smooth pursuit in brain
Image denoising in the wavelet domain using a new adaptive thresholding function
Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation
Simulating the phonological auditory cortex from vowel representation spaces to categories
Synaptic plasticity determines the character of interaural-time-difference representation
Event-triggered adaptive NN tracking control with dynamic gain for a class of unknown nonlinear systems
New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays
Calcium as the associative signal for a model of Hebbian plasticity: application to multi-input environments
Human-intelligence workflow management for the big data of augmented reality on cloud infrastructure
Boolean kernels for collaborative filtering in top-N item recommendation
Transfer learning with deep manifold regularized auto-encoders
Identifying influential spreaders in large-scale networks based on evidence theory
The scale-invariant space for attention layer in neural network
Context-aware Self-Attention Networks for Natural Language Processing
A novel traffic sign detection method via color segmentation and robust shape matching
A biological neuroprocessor for robotic guidance using a center of area method
Frequency adaptive enhancement and multi-view feature fusion for image manipulation detection
Ensemble of Parzen window classifiers for on-line signature verification
Existence and exponential stability of periodic solution for a class of Cohen-Grossberg-type BAM neural networks
Robustness of an adaptive MRI segmentation algorithm parametric intensity inhomogeneity modeling
Medical image retrieval using deep convolutional neural network
Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9
Multi-view Unsupervised Feature Selection via Global and Local Kernelized Graph Learning
Fast saliency-aware multi-modality image fusion
Hierarchical classification and vector quantization with neural trees
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
New results on finite-time stability for fractional-order neural networks with proportional delay