yusuke1997/dblp-id-title huggingface dataset:
Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support
Branching Time Active Inference: The theory and its generality
Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach
Exploratory analysis of climate data using source separation methods
Solving the binding problem of the brain with bi-directional functional connectivity
Processing of acoustic signals in a cochlear model incorporating laterally coupled suppressive elements
AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters
Absolutely exponential stability of a class of neural networks with unbounded delay
Improving span-based Aspect Sentiment Triplet Extraction with part-of-speech filtering and contrastive learning
Deep neural networks for texture classification - A theoretical analysis
Perturbation response in feedforward networks
Brain-inspired multiple-target tracking using Dynamic Neural Fields
Extremely randomized neural networks for constructing prediction intervals
Degradation-Guided cross-consistent deep unfolding network for video restoration under diverse weathers
An enhancing framework with an emphasis on decision balance in ensemble regression
Fitting a stochastic spiking model to neuronal current injection data
Speed up learning and network optimization with extended back propagation
Temporal photoreception for adaptive dynamic range image sensing and encoding
ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation
Knowledge-based tensor subspace analysis system for kinship verification
Self-organizing neural networks for perception of visual motion
Joint clothes image detection and search via anchor free framework
A one-layer recurrent neural network for robust linear programming subject to l∞ norm uncertainty
Cosine convolutional neural network and its application for seizure detection
Supervised learning in spiking neural networks: A review of algorithms and evaluations
Iterated Function Systems as neural networks
Dynamic learning from adaptive neural control for full-state constrained strict-feedback nonlinear systems
An exact mapping from ReLU networks to spiking neural networks
Hierarchical approaches to understanding consciousness
ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
Network model of ocular dominance column formation: Computational results
Internal sensory models allow for balance control using muscle spindle acceleration feedback
Reconsidering learnable fine-grained text prompts for few-shot anomaly detection in visual-language models
Multi-label zero-shot learning with graph convolutional networks
Simulating the effects of dopamine imbalance on cognition: From positive affect to Parkinson's disease
Multi-level feature fusion networks for smoke recognition in remote sensing imagery
The generalized proportional-integral-derivative (PID) gradient descent back propagation algorithm
Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle
Modeling a flexible representation machinery of human concept learning
Enriched topological learning for cluster detection and visualization
Semi-LLIE: Semi-supervised contrastive learning with Mamba-based low-light enhancement
Discriminative analysis dictionary learning with adaptively ordinal locality preserving
Variational gated autoencoder-based feature extraction model for inferring disease-miRNA associations based on multiview features
Cascading size-dependent deep propagation (CADP): Addressing over-smoothing in graph few-shot dermatology classification
Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems
Exploring the spatial reasoning ability of neural models in human IQ tests
GRAM: An interpretable approach for graph anomaly detection using gradient attention maps
Possible world based consistency learning model for clustering and classifying uncertain data
Extraction of percept-related induced local field potential during spontaneously reversing perception
Self-organization of orientation maps in a formal neuron model using a cluster learning rule
A Multi-objective transfer learning framework for time series forecasting with Concept Echo State Networks
Foreground-aware Universe Graph Matching for Domain Adaptive Object Detection
CognitMoE: A cognition-aware collaborative multi-expert network for bipolar disorder diagnosis
A small-world topology enhances the echo state property and signal propagation in reservoir computing
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition
Special Issue on Advances in Neural Networks Research: IJCNN'07
Adaptive internal state space construction method for reinforcement learning of a real-world agent
Multimodal fusion network for ICU patient outcome prediction
Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning
Encoding a priori information in feedforward networks
Local interpretable spammer detection model with multi-head graph channel attention network
State estimation for jumping recurrent neural networks with discrete and distributed delays
A generalized diffusion frame for parsimonious representation of functions on data defined manifolds
CNN-MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites
Super resolution: Another computational role of short-range horizontal connection in the primary visual cortex
A Study of the Mean Field Approach to Knapsack Problems
Robust one-class support vector machine
Towards a connectionist model of Italian morphology
Constructing Bayesian formulations of sparse kernel learning methods
Cross-modality interaction for few-shot multispectral object detection with semantic knowledge
ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints
Boosting adversarial robustness via self-paced adversarial training
A fractional gradient descent algorithm robust to the initial weights of multilayer perceptron
Dynamics of learning near singularities in radial basis function networks
SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains
Bi-directional computing architecture for time series prediction
Metamon-GS: Enhancing representability with variance-guided densification and light encoding
Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs
Local stimulus disambiguation with global motion filters predicts adaptive surround modulation
Evolving neural networks for strategic decision-making problems
Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory
Selecting features for BCI control based on a covert spatial attention paradigm
M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network
Bidirectional Semantic Consistency Guided Contrastive Embedding for Generative Zero-Shot Learning
PDE-READ: Human-readable partial differential equation discovery using deep learning
Outline of a general theory of behavior and brain coordination
Improvements on ν-Twin Support Vector Machine
Convex nonnegative matrix factorization with manifold regularization
IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction
Learning in the machine: The symmetries of the deep learning channel
A deterministic annealing algorithm for approximating a solution of the max-bisection problem
Neural network control for automatic braking control system
Memristor-based spiking neural network with online reinforcement learning
Astronomia nova to human brain mapping
Concept of a 4-joint machine with neural net control for the generation of 2-dimensional trajectories
A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints
Directly training temporal Spiking Neural Network with sparse surrogate gradient
Full-spectrum prompt tuning with sparse MoE for open-set recognition
A functional neural network computing some eigenvalues and eigenvectors of a special real matrix
Improved analysis of supervised learning in the RKHS with random features: Beyond least squares
Performance evaluation of multilayer perceptrons for discriminating and quantifying multiple kinds of odors with an electronic nose
Unsupervised domain adaptive building semantic segmentation network by edge-enhanced contrastive learning
Extending the Stabilized Supralinear Network model for binocular image processing
Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism
Lagrange α-exponential stability and α-exponential convergence for fractional-order complex-valued neural networks
Fine analog coding minimizes information transmission
The informativeness of the gradient revisited
Adaptive learning rate of SpikeProp based on weight convergence analysis
A neurodynamic approach to convex optimization problems with general constraint
Learning syntactically significant temporal patterns of chords: A masking field embedded in an ART 3 architecture
Acquisition of nonlinear forward optics in generative models: Two-stage "downside-up" learning for occluded vision
Unsupervised feature selection via latent representation learning and manifold regularization
Building bridges between neural models and complex decision making behaviour
Development of a neural network heating controller for solar buildings
H ∞ state estimation for memristive neural networks with time-varying delays: The discrete-time case
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Neural network model for imprecise regression with interval dependent variables
Massively parallel networks for edge localization and contour integration-adaptable relaxation approach
Separation of stationary and non-stationary sources with a generalized eigenvalue problem
Hierarchical binding in convolutional neural networks: Making adversarial attacks geometrically challenging
Topology-conserving maps for learning visuo-motor-coordination
Networks of spiking neurons: The third generation of neural network models
Temporal local attention with adaptive decoding: Enhancing spiking neural networks for temporal computing applications
Understanding and reducing variability of SOM neighbourhood structure
Knowledge graph embedding with shared latent semantic units
Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction
Multiscale interactions between chemical and electric signaling in LTP induction, LTP reversal and dendritic excitability
Convex formulation of multiple instance learning from positive and unlabeled bags
Reachable set estimation for Markovian jump neural networks with time-varying delay
MCMAC-CVT: a novel on-line associative memory based CVT transmission control system
Towards holographic "brain" memory based on randomization and Walsh-Hadamard transformation
Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people
Consistent and comprehensive scale aggregation network for drone-view small object detection
Dynamic reinforcement learning for actors
Learning explicitly transferable representations for domain adaptation
Stability and dissipativity criteria for neural networks with time-varying delays via an augmented zero equality approach
How stereovision interacts with optic flow perception: neural mechanisms
A neural network that self-organizes to perform three operations related to principal component analysis
Nonlinear V1 responses to natural scenes revealed by neural network analysis
Few-shot object detection via semantic prompts and classifier decoupling
Deep Kernel Principal Component Analysis for multi-level feature learning
RC-DETR: Improving DETRs in crowded pedestrian detection via rank-based contrastive learning
State of Neural Networks Is Strong
Learning to select actions shapes recurrent dynamics in the corticostriatal system
Sparse distributed memory using N -of- M codes
Mean teacher based on class prototype contrast for domain adaptive object detection
Synchronization for stochastic coupled networks with Lévy noise via event-triggered control
Unsupervised feature selection with evolutionary sparsity
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
Periodic clustering of simple and complex cells in visual cortex
Structure inference of networked system with the synergy of deep residual network and fully connected layer network
Remote sensing object detection through hierarchical feature mining and multivariate head collaboration with knowledge distillation
Neural ensembles: Simultaneous recognition of multiple 2-D visual objects
Analysis of firing behaviors in networks of pulse-coupled oscillators with delayed excitatory coupling
Using financial risk measures for analyzing generalization performance of machine learning models
Ring systolic designs for artificial neural nets
Neuromorphic VLSI vision system for real-time texture segregation
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
BISMARC: a biologically inspired system for map-based autonomous rover control
Neurodynamical classifiers with low model complexity
Connectional-style-guided contextual representation learning for brain disease diagnosis
Face Omron Ring: Proactive defense against face forgery with identity awareness
Group visualization of class-discriminative features
Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Position invariant recognition in the visual system with cluttered environments
Beyond hard constraint: unified knowledge-embedding physics informed neural networks for multi-domain system
Weight decay backpropagation for noisy data
Self-supervised knowledge distillation for complementary label learning
Label-specific feature selection and two-level label recovery for multi-label classification with missing labels
Tensorized multi-dimensional multi-view clustering based on nonnegative matrix factorization
Transformed ℓ1 regularization for learning sparse deep neural networks
Medical object detector jointly driven by knowledge and data
Unsupervised image enhancement under non-uniform illumination based on paired CNNs
A multivariate adaptive gradient algorithm with reduced tuning efforts
Hierarchical reinforcement learning with kill chain-informed multi-objective optimization to enhance resilience in autonomous unmanned swarm
RMP model based optimization of power system stabilizers in multi-machine power system
Transfer learning-motivated intelligent fault diagnosis framework for cross-domain knowledge distillation
SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment
Global synchronization of complex-valued neural networks with unbounded time-varying delays
Simultaneous fitting of several curves to point sets using neural networks
Improved Residual Network based on norm-preservation for visual recognition
Twin minimax probability machine for pattern classification
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection
Pattern recognition for electroencephalographic signals based on continuous neural networks
Network Synthesis through Data-Driven Growth and Decay
Hard-wired models of working memory and temporal sequence storage and generation
A computational model of spatio-temporal dynamics in depth filling-in
"Social" robots are psychological agents for infants: A test of gaze following
Decomposition-based multi-scale transformer framework for time series anomaly detection
Finite-time stabilization of complex-valued neural networks with proportional delays and inertial terms: A non-separation approach
Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control
CMDF-TTS: Text-to-speech method with limited target speaker corpus
Subconnection neural network for event-driven temporal sequence processing
What is the impact of discrete memristor on the performance of neural network: A research on discrete memristor-based BP neural network
Broad learning system based on fractional order optimization
On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks
Consensus guided incomplete multi-view spectral clustering
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory
Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control
Neural networks with low-resolution parameters
Data classification with multilayer perceptrons using a generalized error function
DMGNet: Depth mask guiding network for RGB-D salient object detection
Robust fixed-time synchronization of delayed Cohen-Grossberg neural networks
Beyond emotion archetypes: Databases for emotion modelling using neural networks
A Numerical Implementation of Kolmogorov's Superpositions II
Neural models of motion integration and segmentation
PET image super-resolution using generative adversarial networks
Fixed-time learning-based optimal tracking control for robotic systems with prescribed performance constraints
Solving degenerate optimization problems using networks of neural oscillators
Dual aggregation based joint-modal similarity hashing for cross-modal retrieval
Extracting regression rules from neural networks
Global dissipativity of memristor-based neutral type inertial neural networks
Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering
An adaptive method for industrial hydrocarbon flame detection
The Boltzmann g-RHONN: A learning machine for estimating unknown probability distributions
A class-incremental learning approach for learning feature-compatible embeddings
Computational model of visual hallucination in dementia with Lewy bodies
Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction
Force Parameters for On-line Tool Wear Estimation: A Neural Network Approach
Topographic organization of nerve field with teacher signal
CIDRA-Net: Cross-modal interaction fusion network with distribution-relation awareness for robust 3D object detection
An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-X
A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex
Solving classification tasks by a receptron based on nonlinear optical speckle fields
Imprecise correlated activity in self-organizing maps of spiking neurons
Population coding by simultaneous activities of neurons in intrinsic coordinate systems defined by their receptive field weighting functions
PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization
An empirical model of activity in macaque inferior temporal cortex
Neural networks with a continuous squashing function in the output are universal approximators
Enhancing image restoration through learning context-rich and detail-accurate features
A neural network model for arm trajectory formation using forward and inverse dynamics models
Estimates of average complexity of neurocontrol algorithms
A coupled spiking neural P system integrated with two-level neighborhood search for solving flexible job shop scheduling problems
KKANs: Kurková-Kolmogorov-Arnold networks and their learning dynamics
Adaptive object recognition model using incremental feature representation and hierarchical classification
A closed-form neural network for discriminatory feature extraction from high-dimensional data
Certainty worlds, risk judgments, and neural net design
A singular Riemannian geometry approach to deep neural networks II. Reconstruction of 1-D equivalence classes
Smoothing neural network for L0 regularized optimization problem with general convex constraints
MOAL: Multi-view Out-of-distribution Awareness Learning
Predefined-time synchronization of coupled neural networks with switching parameters and disturbed by Brownian motion
Subject-independent meta-learning framework towards optimal training of EEG-based classifiers
Simplified self-supervised learning for hybrid propagation graph-based recommendation
Curriculum learning empowered reinforcement learning for graph-based portfolio management: Performance optimization and comprehensive analysis
Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing
Networks of Hebbian networks: more is different
A new neural network for solving nonlinear projection equations
Affective topic model for social emotion detection
Hierarchical neural networks perform both serial and parallel processing
A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay
SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering
A connectionist model for convex-hull of a planar set
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning
Aperiodic intermittent dynamic event-triggered synchronization control for stochastic delayed multi-links complex networks
Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration
Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy
Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons
Better learning for bidirectional associative memory
Self-selective attention using correlation between instances for distant supervision relation extraction
Feature-based classification of aerospace radar targets using neural networks
Iterative retrieval of sparsely coded associative memory patterns
Global exponential stability for switched memristive neural networks with time-varying delays
Attention as a controller
Explicit semantic guided bi-incomplete multi-modal hashing with label co-occurrence and label graph constraints
Temporal receptive fields, spikes, and Hebbian delay selection
Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form
Intermittent control for finite-time synchronization of fractional-order complex networks
Three generic bistable scenarios of the interplay of voltage pulses and gene expression in neurons
A novel memristor-based bionic neural network circuit with crossmodal integration and forgetting effects
DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis
Global O(t -α ) stability and global asymptotical periodicity for a non-autonomous fractional-order neural networks with time-varying delays
A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots
Low-rank discriminative regression learning for image classification
Stabilization of metastable dynamical rotating waves in a ring of unidirectionally coupled sigmoidal neurons due to shortcuts
Deep learning of support vector machines with class probability output networks
A neural network model of normal and abnormal auditory information processing
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation
Unsolvability, complexity, and neural networks
FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning
Enhanced anchor contrastive multi-view representations learning network for clustering
Further results in multiset processing with neural networks