yusuke1997/dblp-id-title huggingface dataset:
Neural dynamics solver for time-dependent infinity-norm optimization based on ACP framework with robot application
Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment
Knowledge Graph Reasoning via Dynamic Subgraph Attention with Low Resource Computation
Training neural networks with a multi-objective sliding mode control algorithm
PseudoNeuronGAN: Unpaired synthetic image to pseudo-neuron image translation for label-free neuron instance segmentation
Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network
SARFormer: Segmenting Anything Guided Transformer for semantic segmentation
Generative adversarial networks with augmentation and penalty
Predicting primary categories of business listings for local search ranking
Design of observer-based controller for T-S fuzzy systems with intermittent measurements
Mechanistic modeling of the retinogeniculate circuit in cat
Zero-shot learning with self-supervision by shuffling semantic embeddings
Adaptive dual graph regularization for clustered multi-task learning
PCSViT: Efficient and hardware friendly Pyramid Vision Transformer with channel and spatial self-attentions
Discretization and OpenCL-based implementation of social field pedestrian model
LMI approach for global robust stability of Cohen-Grossberg neural networks with multiple delays
Multi-task prompt tuning with soft context sharing for vision-language models
Data imputation in IoT using Spatio-Temporal Variational Auto-Encoder
Nonlinear dimensionality reduction of data manifolds with essential loops
Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation
Leveraging angular distributions for improved knowledge distillation
Dynamics of anti-periodic solutions on shunting inhibitory cellular neural networks with multi-proportional delays
An evaluation study on text categorization using automatically generated labeled dataset
Adaptive multi-bit quantization for hashing
Nonlinear power system excitation control using adaptive wavelet networks
Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation
Corpus-based topic diffusion for short text clustering
Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification
Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks
DCGSA: A global self-attention network with dilated convolution for crowd density map generating
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification
A Novel multiple kernel-based dictionary learning for distributive and collective sparse representation based classifiers
Fixed/preassigned-time synchronization for impulsive complex networks with mismatched parameters
Online robust echo state broad learning system
RapidFuzz: Accelerating fuzzing via Generative Adversarial Networks
SILP-autoencoder for face de-occlusion
Exponential synchronization of delayed neural networks involving unmeasurable neuron states via impulsive observer and impulsive control
Improved fixed-rank Nyström approximation via QR decomposition: Practical and theoretical aspects
Neural network-enhanced asymmetric prescribed performance control for multi-task cooperative navigation of USVs via an adaptive formation structure
Learning multi-granularity temporal characteristics for attention based knowledge tracing
Deep learning based on Batch Normalization for P300 signal detection
Neuroadaptive control achieving zero-error tracking and designated performance - A novel vanishing damping approach
Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach
Action-dependent heuristic dynamic programming for hybrid-order systems based on dynamic event-triggered mechanism
Error analysis of distributed least squares ranking
Distributional representation of resting-state fMRI for functional brain connectivity analysis
An MCell model of calcium dynamics and frequency-dependence of calmodulin activation in dendritic spines
A general regression neural network analysis of prognostic markers in prostate cancer
Empirical evaluation of applying ensemble methods to ego-centred community identification in complex networks
Hierarchical incorporation of shape and shape dynamics for flying bird detection
MHEC: One-shot relational learning of knowledge graphs completion based on multi-hop information enhancement
Imposing sparsity on the mixing matrix in independent component analysis
Single low-light image brightening using learning-based intensity mapping
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
Spatio-temporal memory-driven CT organ segmentation with hybrid CNN-Mamba encoding and frequency-domain decoding
Large-scale image retrieval with supervised sparse hashing
Memory-enhanced hierarchical transformer for video paragraph captioning
A multi-scale graph-guided dynamic enhanced alignment network for mechanical fault diagnosis considering domain shift and data imbalance
The adaptive selection of financial and economic variables for use with artificial neural networks
Multi-source attention autoencoder network for hyperspectral unmixing with LiDAR data
Conceptual complexity of neural networks
Manifold regularized multi-view feature selection for social image annotation
Local global information aggregation graph convolution for skeleton-based action recognition
Evaluating the generalisation capability of a CMOS based synapse
Semi-supervised Selective Clustering Ensemble based on constraint information
Multi-objective operation optimization for electric multiple unit-based on speed restriction mutation
Secure communication based on the synchronous control of hysteretic chaotic neuron
Cluster validation in problems with increasing dimensionality and unbalanced clusters
Hough transform neural network for pattern detection and seismic applications
The good, the bad, and the algorithm: The impact of generative AI on cybersecurity
The effects of data filtering on neural network learning
Exponential synchronization of multiple impulsive discrete-time memristor-based neural networks with stochastic perturbations and time-varying delays
An adaptive PID-guided tensor wheel decomposition model for dynamic weighted network representation
Adaptive fuzzy backstepping output feedback control of nonlinear uncertain systems with unknown virtual control coefficients using MT-filters
H3NI: Non-target-specific node injection attacks on hypergraph neural networks via genetic algorithm
Multi-target tracking with occlusions via skeleton points assignment
problexity - An open-source Python library for supervised learning problem complexity assessment
Content-aware preserving image generation
Geometry-attentive relational reasoning for robust facial landmark detection
Prior guided conditional generative adversarial network for single image dehazing
Building binary-tree-based multiclass classifiers using separability measures
A fast multi-output RBF neural network construction method
Deep operational audio-visual emotion recognition
PCANet: An energy perspective
Sodium ion channel optical model: Depolarization spatial distribution and local potential dynamic spatiotemporal processes
Exploiting deep convolutional neural networks for a neural-based learning classifier system
Introspection unit in memory network: Learning to generalize inference in OOV scenarios
A comprehensive review of network pruning based on pruning granularity and pruning time perspectives
Error modeling approach to improve time series forecasters
Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle
Few-shot image classification using graph neural network with fine-grained feature descriptors
Random subspace evidence classifier
Modelling of brain consciousness based on collaborative adaptive filters
Refinedbox: Refining for fewer and high-quality object proposals
Corrigendum to "3D model classification based on few-shot learning" [Neurocomputing 398 (2020) 539-546/21103]
Neural network training and rule extraction with augmented discretized input
Model free adaptive fault-tolerant tracking control for a class of discrete-time systems
Networks of neurons that emit and recognize signatures
Age progression: Current technologies and applications
A Deep Spatial-Temporal Ensemble Model for Air Quality Prediction
RPN: A region-to-pixel-mask-based convolutional network for lesion segmentation of fundus images
Visual tracking utilizing robust complementary learner and adaptive refiner
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples
Posture coordination control of two-manipulator system using projection neural network
Neural network-based online H ∞ control for discrete-time affine nonlinear system using adaptive dynamic programming
Theoretical analysis of co-existing periodic orbits in sparse binary neural networks
Information-theoretic feature selection for functional data classification
Estimation of epipolar geometry by linear mixed-effect modelling
Extreme and incremental learning based single-hidden-layer regularization ridgelet network
A software-hardware selective attention system
Neural architecture search for image super-resolution: A review on the emerging state-of-the-art
A compound control method based on the adaptive neural network and sliding mode control for inertial stable platform
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
MorphoSeg: An uncertainty-aware deep learning method for biomedical segmentation of complex cellular morphologies
Spike-based encoding and learning of spectrum features for robust sound recognition
SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition
Learning both matching cost and smoothness constraint for stereo matching
OV-KFA: Open-vocabulary object detection via key feature alignment
Topological local principal component analysis
Face detection using fast neural networks and image decomposition
Adaptive synchronization for stochastic T-S fuzzy neural networks with time-delay and Markovian jumping parameters
Monocular face reconstruction with global and local shape constraints
Integrating fMRI and single-cell data of visual working memory
Deep Radial Intelligence with Cumulative Incarnation approach for detecting Denial of Service attacks
Deterministic policy optimization with clipped value expansion and long-horizon planning
Bilateral-Aware and Multi-Scale Region Guided U-Net for precise breast lesion segmentation in ultrasound images
Fault-tolerant H ∞ control for networked control systems with randomly occurring missing measurements
A feature learning approach for face recognition with robustness to noisy label based on top- N prediction
Multimodal and multichannel speech separation using location-guided speech feature mapping network
Morphological approach for autonomous and adaptive system: The construction of three-dimensional artificial model based on self-reconfigurable modular agents
Audio description from image by modal translation network
A novel feature representation for automatic 3D object recognition in cluttered scenes
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions
Adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation
Rethinking residual connection in training large-scale spiking neural networks
Behavioral modeling of nonlinear RF power amplifiers using ensemble SDBCC network
Electric field modulation of synchronization in neuronal networks
Haze removal for single image: A comprehensive review
Robust real-time hand detection and localization for space human-robot interaction based on deep learning
Redundant feature enhancement: A fresh take on elevating contextual representation ability for transformer-based question-answering
Generalized non-convex non-smooth sparse and low rank minimization using proximal average
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization
Phase locking states between fast-spiking interneurons coupled by electrical and chemical synapses
Effects of long term polyarthritis and subsequent NSAID treatment on activity with disassociation of tactile allodynia in the mouse
Deep feature response discriminative calibration
End-to-end learning of self-rectification and self-supervised disparity prediction for stereo vision
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation
Class-specific soft voting based multiple extreme learning machines ensemble
Advances in bio-inspired computing: Techniques and applications
Singular value decomposition based minutiae matching method for finger vein recognition
Machinery health indicator construction based on convolutional neural networks considering trend burr
Efficient genetic algorithms for optimal assignment of tasks to teams of agents
Local residual preserving non-negative matrix factorization for multi-view clustering
Differentially private distributed online optimization via push-sum one-point bandit dual averaging
Probability model selection and parameter evolutionary estimation for clustering imbalanced data without sampling
Adaptive bias RBF neural network control for a robotic manipulator
Uncertain XML documents classification using Extreme Learning Machine
Self-supervised graph representation learning via bootstrapping
A low-cost neural sorting network with O(1) time complexity
An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India
Tolerance rough sets for pattern classification using multiple grey single-layer perceptrons
Let storytelling tell vivid stories: A multi-modal-agent-based unified storytelling framework
Complex RPROP-algorithm for neural network equalization of GSM data bursts
Robust lossless data hiding using clustering and statistical quantity histogram
Learning to estimate smooth and accurate semantic correspondence
Self-organizing map with time-invariant learning rate and its exponential stability analysis
Dynamic spectral weighting in CausalSelfAttention: Enhancing transformer performance through frequency-based head modulation
Dual-alignment cross-domain few-shot learning with lightweight domain-specific attention for hyperspectral image classification
Multi-view Contour-constrained Transformer Network for Thin-cap Fibroatheroma Identification
Modeling frequency encoding in the cricket cercal sensory system
Incipient fault detection of nonlinear dynamical systems via deterministic learning
Spatio-temporal biologically inspired models for clean and noisy speech recognition
Skip-connected network with gram matrix for product image retrieval
Exponential convergence of SICNNs with delays and oscillating coefficients in leakage terms
Deep transfer neural network using hybrid representations of domain discrepancy
Reconciliation of statistical and spatial sparsity for robust visual classification
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning
A short text topic modeling method based on integrating Gaussian and Logistic coding networks with pre-trained word embeddings
Compact multi-class support vector machine
Enhancing performance and accuracy of ontology integration by propagating priorly matchable concepts
Multilayer network analysis of C. elegans : Looking into the locomotory circuitry
Differentiable homotopy methods for gradually reinforcing the training of fully connected neural networks
Efficient locality-constrained occlusion coding for face recognition
Scalable attribute-driven face image retrieval
Speeding up k -Nearest Neighbors classifier for large-scale multi-label learning on GPUs
A novel finite-time q -power recurrent neural network and its application to uncertain portfolio model
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs
BYY learning, regularized implementation, and model selection on modular networks with one hidden layer of binary units
Face recognition based on orthogonal discriminant locality preserving projections
Efficient computations of gapped string kernels based on suffix kernel
Web-ADARE: A web-aided data repairing system
Learning classifiers from dual annotation ambiguity via a min-max framework
Bayesian pairwise learning to rank via one-class collaborative filtering
A review on video person re-identification based on deep learning
A method of repairing single node failure in the distributed storage system based on the regenerating-code and a hybrid genetic algorithm
Linear dimensionality reduction based on Hybrid structure preserving projections
Exploiting class label in generative score spaces
Mutual mentor: Online contrastive distillation network for general continual learning
Evolutionary deep learning: A survey
Recurrent convolutions of binary-constraint Cellular Neural Network for texture recognition
Adaptive weighted fuzzy clustering based on intra-cluster data divergence
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem
A massively parallel neural network approach to large-scale Euclidean traveling salesman problems
An event-triggered reliable cloud control scheme based on ADP and integral sliding mode
Adaptive offloading and scheduling algorithm for big data based mobile edge computing
Weighted hierarchical geographic information description model for social relation estimation
Supervised learning of local projection kernels
Extraction and application of deformation-based feature in medical images
Observer-based control of positive polynomial fuzzy systems with unknown time delay
TPN:Triple network algorithm for deep reinforcement learning
On passivity analysis for stochastic neural networks with interval time-varying delay
Householder transformation based sparse least squares support vector regression
Graph coloring based surveillance video synopsis
Blind image quality assessment based on progressive multi-task learning
Multi-view image clustering based on sparse coding and manifold consensus
Quantum Machine Learning: A tutorial
Analysis of output of all Purkinje cells controlled by one climbing fiber cell
Analysis of the influence of differences in somatic symmetry and sharpness on the firing rate
No-reference image quality assessment with shearlet transform and deep neural networks
Blind identification of the underdetermined mixing matrix based on K-weighted hyperline clustering
Ensemble delta test-extreme learning machine (DT-ELM) for regression
Few-shot action recognition with temporal feature enhancement in fine-tuning
LDA-GAN: Lightweight domain-attention GAN for unpaired image-to-image translation
Cardiac cavity segmentation review in the past decade: Methods and future perspectives
Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations
Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval
A Simplified Adaptive Fuzzy Min-Max Neural Network for pattern classification
Fixed-time passivity of multi-weighted coupled quaternion-valued neural networks
Finite-time adaptive NN control for permanent magnet synchronous motors with full-state constraints
Learning-based online optimal sliding-mode control for space circumnavigation missions with input constraints and mismatched uncertainties
RUFP: Reinitializing unimportant filters for soft pruning
Adaptive multi-cue tracking by online appearance learning
Object representation based on contour features and recognition by a Hopfield-Amari network
A distance for mixed-variable and hierarchical domains with meta variables
Robot trajectory tracking control using learning from demonstration method
A neural network-based diagnostic method for solitary pulmonary nodules
Recalibration convolutional networks for learning interaction knowledge graph embedding
Different discrete-time noise-suppression Z-type models for online solving time-varying and time-invariant cube roots in real and complex domains: Application to fractals
Building, simulating and visualizing large spiking neural networks with NeuralSyns
A graph-theoretic approach to 3D shape classification
Regularized soft K-means for discriminant analysis
Stock portfolio selection using learning-to-rank algorithms with news sentiment
Modelling the statistical processing of visual information
Sparse coding of human motion trajectories with non-negative matrix factorization
Context-aware probabilistic matrix factorization modeling for point-of-interest recommendation
Graph-based multi-modal MRI analysis with probabilistic attention for stroke lesion detection
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
Cross-media retrieval of scientific and technological information based on multi-feature fusion
Mean square exponential stability of stochastic fuzzy delayed Cohen-Grossberg neural networks with expectations in the coefficients
CyTran: A cycle-consistent transformer with multi-level consistency for non-contrast to contrast CT translation
Virtual organization with fusion knowledge in odor classification
Neuromorphic high-frequency 3D dancing pose estimation in dynamic environment
Locality-constrained robust discriminant non-negative matrix factorization for depression detection: An fNIRS study
Frequency-space enhanced and temporal adaptative RGBT object tracking
Fully distributed consensus of linear multi-agent systems via dynamic event-triggered control
Numerical solution of nonlinear singular initial value problems of Emden-Fowler type using Chebyshev Neural Network method
Recognizing road from satellite images by structured neural network
Relevant region prediction for crowd counting
A unified framework with a benchmark dataset for surveillance event detection
Neural synchronization of optimal structure-based group of neural networks
3D-CDNeT: Cross-domain learning with enhanced speed and robustness for point cloud recognition
Predicting drug-target interaction using positive-unlabeled learning
Attribute graph anomaly detection utilizing memory networks enhanced by multi-embedding comparison
Fixed/prescribed-time synchronization of quaternion-valued fuzzy BAM neural networks under aperiodic intermittent pinning control: A non-separation approach
Neural fixed-parameter active noise controller for variable frequency tonal noise
A spatially cohesive superpixel model for image noise level estimation
Semi-supervised spectral hashing for fast similarity search
MambaSOD: Dual Mamba-driven cross-modal fusion network for RGB-D Salient Object Detection
Boosting regression methods based on a geometric conversion approach: Using SVMs base learners
SAM-Assisted Temporal-Location Enhanced Transformer Segmentation for Object Tracking with Online Motion Inference
Semantic scene completion with dense CRF from a single depth image
The conjunctive disjunctive graph node kernel for disease gene prioritization
Multi-objective bacterial foraging optimization
Less conservative stability condition for uncertain discrete-time recurrent neural networks with time-varying delays
A novel hysteretic chaotic neural network and its applications
Self-supervised learning based transformer and convolution hybrid network for one-shot organ segmentation
Toward practical remote iris recognition: A boosting based framework
Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning
Exploring transferable and robust adversarial perturbation generation across network hierarchy
Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances
Differentially private and explainable boosting machine with enhanced utility
AED: An black-box NLP classifier model attacker