yusuke1997/dblp-id-title huggingface dataset:
A computational approach to arm movement on the sagittal plane performed by parietal lobe damaged patients: an attempt to examine a computational model for handwriting for its neurobiological plausibility from a neuropsychological symptom
PTKE: Translation-based temporal knowledge graph embedding in polar coordinate system
An efficient instance selection algorithm for k nearest neighbor regression
Incremental general non-negative matrix factorization without dimension matching constraints
A practical tutorial on solving optimization problems via PlatEMO
ExpDrug: An explainable drug recommendation model based on space feature mapping
Reconstructing creative thoughts: Hopfield neural networks
Multilayer perceptrons for classification and regression
Rotation-equivariant correspondence matching based on a dual-activation mixer
Robust non-fragile H ∞ state estimation for discrete-time genetic regulatory networks with Markov jump delays and uncertain transition probabilities
Wavelet fuzzy cognitive maps
Dispersion constraint based non-negative sparse coding algorithm
Inference and parameter estimation on hierarchical belief networks for image segmentation
Approximate output regulation of spherical inverted pendulum by neural network control
Dissipativity and passivity analysis for memristor-based neural networks with leakage and two additive time-varying delays
Robust outlier removal using penalized linear regression in multiview geometry
CCAFFMNet: Dual-spectral semantic segmentation network with channel-coordinate attention feature fusion module
New delay and order-dependent passivity criteria for impulsive fractional-order neural networks with switching parameters and proportional delays
Adaptive prescribed performance control of output feedback systems including input unmodeled dynamics
Dynamic signature verification method based on association of features with similarity measures
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
Output related fault detection and diagnosis based on multi block modified orthogonal Broyden-Fletcher-Goldfarb-Shanno algorithm
More trainable inception-ResNet for face recognition
Unsupervised cycle-consistent person pose transfer
A hybrid algorithm for low-rank approximation of nonnegative matrix factorization
Adaptive multi-level feature fusion and attention-based network for arbitrary-oriented object detection in remote sensing imagery
Adaptive total PLS based quality-relevant process monitoring with application to the Tennessee Eastman process
Perceptual image quality assessment by independent feature detector
Long-range connections synchronize rather than spread intrathalamic oscillatory activity: Computational modeling and in vitro electrophysiology
Hyperbolic-valued Hopfield neural networks in hybrid mode
Adaptive fully distributed consensus for a class of heterogeneous nonlinear multi-agent systems
Spectral clustering with more than K eigenvectors
Event-triggered delayed impulsive control for synchronization of stochastic complex networks under deception attacks
PDR-Net: Progressive depth reconstruction network for color guided depth map super-resolution
Adaptive robust speed control based on recurrent elman neural network for sensorless PMSM servo drives
Inability of higher-order outer product learning to map random higher-order problems
Competition for tubulin between growing neurites during development
A two stage neural network-based personal identification system using handprint
Improving task-agnostic BERT distillation with layer mapping search
Breast tumor detection in digital mammography based on extreme learning machine
A safe screening based framework for support vector regression
Globular cluster detection in the GAIA survey
Anomaly detection via adaptive greedy model
Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model
Residual Echo State Networks: Residual recurrent neural networks with stable dynamics and fast learning
A survey of data augmentation in named entity recognition
Image segmentation and bias correction via an improved level set method
Adaptive Neighborhood MinMax Projections
Semi-supervised accuracy predictor-based multi-objective neural architecture search
Computational aesthetics of photos quality assessment based on improved artificial neural network combined with an autoencoder technique
Investigating synthetic medical time-series resemblance
MFF: Multi-modal feature fusion for zero-shot learning
A PSO and pattern search based memetic algorithm for SVMs parameters optimization
Autonomous driving in traffic with end-to-end vision-based deep learning
An ontology enhanced parallel SVM for scalable spam filter training
Presynaptic facilitation: Quantal analysis and simulations
Adaptive biomimetic control of robot arm motions
Evolving filter criteria for randomly initialized network pruning in image classification
Dorsal hand vein recognition via hierarchical combination of texture and shape clues
Robust estimator design for networked uncertain systems with imperfect measurements and uncertain-covariance noises
Light-weight binary code embedding of local feature distribution in image search
A survey of super-resolution image quality assessment
Recent advances on loss functions in deep learning for computer vision
Bridge health anomaly detection using deep support vector data description
Non-Euclidean principal component analysis by Hebbian learning
Design and analysis of H ∞ filter for a class of T-S fuzzy system with redundant channels and multiplicative noises
Experiments of conditioned reinforcement learning in continuous space control tasks
Stability and bifurcation analysis of an annular delayed neural network with self-connection
Connectionist networks for pivot selection in linear programming
Multi-attention guided feature fusion network for salient object detection
Integration of an actor-critic model and generative adversarial networks for a Chinese calligraphy robot
CTMEG: A continuous-time medical event generation model for clinical prediction of long-term disease progression
An adaptive fuzzy model using orthonormal basis functions based on multifractal characteristics applied to network traffic control
G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels
Human action recognition by multiple spatial clues network
Cost-conscious mutual information maximization for improving collective interpretation of multi-layered neural networks
CTEA: Context and Topic Enhanced Entity Alignment for knowledge graphs
EMRIL: Ensemble Method based on ReInforcement Learning for binary classification in imbalanced drifting data streams
Exponential synchronization of stochastic perturbed chaotic delayed neural networks
YOLO-FOD: Lightweight object detection based on multibranch and multiscale feature fusion for adverse weather
Logish: A new nonlinear nonmonotonic activation function for convolutional neural network
Reweighted Discriminative Optimization for least-squares problems with point cloud registration
State estimation for memristive neural networks with mixed time-varying delays via multiple integral equality
Unsupervised learning in second-order neural networks for motion analysis
Fast and adaptive network of spiking neurons for multi-view visual pattern recognition
Multi-hierarchy feature extraction and multi-step cost aggregation for stereo matching
State estimation for delayed neural networks with stochastic communication protocol: The finite-time case
An endocrine-immune system inspired controllable information diffusion model in social networks
Multi-spectral palmprint recognition based on oriented multiscale log-Gabor filters
A modified finite-time prescribed performance adaptive nonsingular terminal super-twisting controller for robot joint module
An Efficient Density-based clustering algorithm for face groping
Content-adaptive selective steganographer detection via embedding probability estimation deep networks
ReinforceNet: A reinforcement learning embedded object detection framework with region selection network
Lung adenocarcinoma diagnosis in one stage
Efficient neural network compression via transfer learning for machine vision inspection
Wind power prediction based on periodic characteristic decomposition and multi-layer attention network
Advanced stability criteria for static neural networks with interval time-varying delays via the improved Jensen inequality
Discovery of functional module alignment
A discrete-time learning algorithm for image restoration using a novel L 2 -norm noise constrained estimation
Resource-efficient fully automatic spike sorter via scale-adaptive neuromorphic model
Exponential stability of impulsive neural networks with time-varying delays and reaction-diffusion terms
A neural network based linear ensemble framework for time series forecasting
New delay-interval-dependent stability criteria for static neural networks with time-varying delays
Hybrid-driven finite-time H ∞ sampling synchronization control for coupling memory complex networks with stochastic cyber attacks
Applying convolution filter to matrix of word-clustering based document representation
IEEE 754 floating-point addition for neuromorphic architecture
A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation
A project neural network for solving degenerate quadratic minimax problem with linear constraints
Completed local similarity pattern for color image recognition
Adaptive memory fusion for multi-frame optical flow estimation
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case
The coherence theory: simple attentional modulation effects
From discrete to continuous: A spatiotemporal evolution-aware adversarial diffusion framework for retinal disease progression prediction
TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization
Neural modeling of vapor compression refrigeration cycle with extreme learning machine
Robust adaptive NN tracking control for MIMO uncertain nonlinear systems with completely unknown control gains under input saturations
A small universal spiking neural P system with communication on request
Brain-inspired reward broadcasting: Brain learning mechanism guides learning of spiking neural network
Broad learning systems: An overview of recent advances, applications, challenges and future directions
Pixel-accurate road crack detection in presence of inaccurate annotations
Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution
Robust multi-view clustering via inter-and-intra-view low rank fusion
Virtual microscopy of brain tissue
Hide and track: Towards blind video watermarking network in frequency domain
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures
Self-supervised visual learning in the low-data regime: A comparative evaluation
Analogical cascade: a theory on the role of the thalamo-cortical loop in brain function
Fast computation of optimal paths using a parallel Dijkstra algorithm with embedded constraints
Improving texture integrity through second-order constraints on warping maps
Saliency detection and region of interest extraction based on multi-image common saliency analysis in satellite images
Diversified recommendation with weighted hypergraph embedding: Case study in music
Masked face recognition with convolutional visual self-attention network
Risk-based adaptive metric learning for nearest neighbour classification
Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels
Synaptic failures and a Gaussian excitation distribution
Optimization of tuning parameters for open node fault regularizer
Acoustic-decoy: Detection of adversarial examples through audio modification on speech recognition system
Blind source separation: a unified approach
Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers
Probing the retino-geniculate circuit in cat using circular spot stimuli
Semi-supervised Gaussian process latent variable model with pairwise constraints
A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction
Steel plates fault diagnosis on the basis of support vector machines
A parameter-free label propagation algorithm for person identification in stereo videos
Deep representation alignment network for pose-invariant face recognition
Short-term time series prediction using Hilbert space embeddings of autoregressive processes
UP-Cycle-SENet: Unpaired phase-aware speech enhancement using deep complex cycle adversarial networks
Topographic restoration of visual spatial attention in the cortically blind cat
Input quality aware convolutional LSTM networks for virtual marine sensors
Dynamic behavior of DCT and DDT formulations for the Sanger neural network
Classification using link prediction
Sentence generation for artificial brains: A glocal similarity-matching approach
The best currently known class of dynamically equivalent cellular automata rules for density classification
Fault-tolerant control of switched nonlinear systems with strong structural uncertainties: Average dwell-time method
Towards automatic filtering of fake reviews
Multi-label learning with label-specific features via weighting and label entropy guided clustering ensemble
Fusing semantic information for syntax-guided paraphrase generation
Fixed-time stochastic synchronization of impulsive multi-weighted complex dynamical networks with non-chattering control
Towards the adversarial robustness of facial expression recognition: Facial attention-aware adversarial training
Local feature extracted by the improved bag of features method for person re-identification
Differential privacy for sparse classification learning
Automatic image segmentation based on PCNN with adaptive threshold time constant
Correntropy based graph regularized concept factorization for clustering
Persistent spectral based machine learning method for autism spectrum disorder classification
STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation
Global relative parameter sensitivities of the feed-forward loops in genetic networks
Predefined-time cooperative output regulation for second-order nonlinear multiagent systems with an unknown exosystem via dynamic gain method
Special issue on computational collective intelligence
Multi-source collaborative enhanced for remote sensing images semantic segmentation
Visual object concept discovery: Observations in congenitally blind children, and a computational approach
Active semi-supervised learning based on self-expressive correlation with generative adversarial networks
Designing permutation-substitution image encryption networks with Henon map
Function projective synchronization in complex dynamical networks with or without external disturbances via error feedback control
A new wrapper feature selection approach using neural network
Weakly-supervised multi-label learning with noisy features and incomplete labels
Training of neural models for predictive control
Influence of the decay time of the GABAergic postsynaptic current on the spatial spread of network activity
Optimal decoding and minimal length for the non-unique oligonucleotide probe selection problem
Distribution preserving-based deep semi-NMF for data representation
A pointer network based deep learning algorithm for unconstrained binary quadratic programming problem
Containment control of general linear multi-agent systems by event-triggered control mechanisms
GenELM: Generative Extreme Learning Machine feature representation
Robust visual tracking via multi-graph ranking
Deep learning-based covert brain infarct detection from multiple MRI sequences
What-Where-When Attention Network for video-based person re-identification
Video captioning with boundary-aware hierarchical language decoding and joint video prediction
Neural network-based adaptive controller design for robotic manipulator subject to varying loads and unknown dead-zone
Command filtered neural control of multi-agent systems with input quantization and unknown control direction
Robust distributed adaptive consensus for discrete-time multiagent systems with uncertain topologies
Universal learning using free multivariate splines
Global exponential stability of periodic neural networks with time-varying delays
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Cross-channel correlations in tetrode recordings: implications for spike-sorting
A self-growing probabilistic decision-based neural network with automatic data clustering
An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics
Fusing cross-media for topic detection by dense keyword groups
HSC: Leveraging horizontal shortcut connections for improving accuracy and computational efficiency of lightweight CNN
Batch SOM algorithms for interval-valued data with automatic weighting of the variables
Kernel-based learning of orthogonal functions
PortraitNET: Photo-realistic portrait cartoon style transfer with self-supervised semantic supervision
Moments discriminant analysis for supervised dimensionality reduction
Plant identification using deep neural networks via optimization of transfer learning parameters
Dynamic fault prognosis for multivariate degradation process
Neural networks with close nonlocal coupling for analyzing composite image
Target relational attention-oriented knowledge graph reasoning
Distributed continuous-time algorithm for nonsmooth aggregative optimization over weight-unbalanced digraphs
Neuronal analog-digital information transformation at the gamma frequency
Hopf bifurcation analysis for a model of single genetic negative feedback autoregulatory system with delay
Implications of synaptic digitisation and error for neocortical function
Deep image clustering: A survey
Stochastic stability analysis of neutral-type impulsive neural networks with mixed time-varying delays and Markovian jumping
Multi-fields model for predicting target-ligand interaction
Neural networks in intelligent systems design
Reinforcement learning-based asymptotic cooperative tracking of a class multi-agent dynamic systems using neural networks
DeepInfusion: A dynamic infusion based-neuro-symbolic AI model for segmentation of intracranial aneurysms
Triple-adjacent-frame generative network for blind video motion deblurring
Hyperspectral image denoising via cooperated self-supervised CNN transform and nonconvex regularization
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
Training recurrent neural networks via dynamical trajectory-based optimization
Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease
Noisy precursors of bifurcations in a neurodynamical model for disease states of mood disorders
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning
Analysing 3G radio network performance with fuzzy methods
Learning parsimonious dendritic classifiers
Evolving multi-label classification rules by exploiting high-order label correlations
Virtual reality geographical interactive scene semantics research for immersive geography learning
Application of Linear Regression Classification to low-dimensional datasets
Risk group detection and survival function estimation for interval coded survival methods
Extreme learning machines with heterogeneous data types
Extracting elite pairwise constraints for clustering
Application of neuroimaging in diagnosis of focal cortical dysplasia: A survey of computational techniques
Several robust extensions of collaborative representation for image classification
A framework for application-driven classification of data streams
A stochastic training algorithm for artificial neural networks
Quasi-synchronization of heterogeneous dynamical networks with sampled-data and input saturation
Electrophysiological activity to cell metabolism signal transduction: Possible feedback regulatory biochemical pathways
Theory of non-classical receptive field phenomena in the visual cortex
Regularization parameter choice in locally linear embedding
Semantic deep cross-modal hashing
A multi-view graph learning model with dual strategies for solving math word problems
Linear systems equivalent to artificial neural networks via Lie theory
Proactive image manipulation detection via deep semi-fragile watermark
Filling Kinect depth holes via position-guided matrix completion
Phase oscillator neural network as artificial central pattern generator for robots
Sensor-based adaptive activity recognition with dynamically available sensors
A mid-level video representation based on binary descriptors: A case study for pornography detection
Deep convolutional learning for Content Based Image Retrieval
AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
Discrete asymmetric zero-shot hashing with application to cross-modal retrieval
Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions
Iceberg Clique queries in large graphs
Discriminative cost sensitive Laplacian score for face recognition
Effects of granule cell firing properties on the temporal pattern of the CA3 pyramidal cell's firing
Increasing number of objects impairs binding in visual working memory
Automatic design of interpretable fuzzy predicate systems for clustering using self-organizing maps
Correlated neuronal activity can represent multiple binding solutions
A flexible testing environment for visual question answering with performance evaluation
The role of nonlinearity, dimensionality, memory, and input on a mechanical oscillator reservoir computer
Dynamic power allocation in IIoT based on multi-agent deep reinforcement learning
Coexistence of continuous attractors with different dimensions for neural networks
Sparse dual graph-regularized NMF for image co-clustering
A robust ensemble technique in forecasting workload of local healthcare departments
AP-Net: Attention-fused volume and progressive aggregation for accurate stereo matching
Differential Graph Convolution Network for point cloud understanding
The p53-Mdm2 regulation relationship under different radiation doses based on the continuous-discrete extended Kalman filter algorithm
Adaptive evolutionary neural control of perturbed nonlinear serial PAM robot
A survey for solving mixed integer programming via machine learning
Multi-scale gist feature manifold for building recognition
Cluster synchronization in an array of coupled stochastic delayed neural networks via pinning control
Multi-pathway feature integration network for salient object detection
Dialogue systems with audio context
Are spatial positions of dendritic and axonal branches correlated or independent?
Synchronous firing frequency dependence in unidirectional coupled neuronal networks with chemical synapses
DRLCCI: A hybrid fusion network leveraging disentangled representation learning and cross-modal collaborative interaction for multi-modal sentiment analysis
Generalization ability of extreme learning machine with uniformly ergodic Markov chains
FCNet: Extracting undistorted images for fine-grained image classification
Real-time dynamic network learning for location inference modelling and computing
Meta-cognitive Neural Network for classification problems in a sequential learning framework
A landslide identification method based on integrated segmentation network and transfer learning
Learning discrete class-specific prototypes for deep semantic hashing
Multi-target tracking via hierarchical association learning
Quality assessment of dimensionality reduction: Rank-based criteria
Discrete-time signed bounded confidence model for opinion dynamics
Python software libraries for computing with words (CWW) methodologies