yusuke1997/dblp-id-title huggingface dataset:
Hypergraph-Based Numerical Spiking Neural Membrane Systems with Novel Repartition Protocols
Feedforward neural network models for handling class overlap and class imbalance
Human Gait Recognition Based on Frame-by-Frame Gait Energy Images and Convolutional Long Short-Term Memory
Vowel Articulation Dynamic Stability Related to Parkinson's Disease Rating Features: Male Dataset
Using a Feed-Forward Network to incorporate the Relation between Attractees and attractors in a generalized discrete Hopfield Network
Efficient Variational Approach to Multimodal Registration of Anatomical and Functional Intra-Patient Tumorous Brain Data
Editorial: A Magnificent Journal at the Crossroads
Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection
Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier
Stability Analysis of a Class of General Periodic Neural Networks with Delays and impulses
From Intricacy to Conciseness: A Progressive Transfer Strategy for EEG-Based Cross-Subject Emotion Recognition
A Multi-Class Intra-Trial Trajectory Analysis Technique to Visualize and Quantify Variability of Mental Imagery EEG Signals
Robust neonatal EEG seizure Detection through Adaptive Background Modeling
Flexible Nonlinear Blind Signal Separation in the Complex Domain
EEG Derived Brain Activity Reflects Treatment Response from Vagus Nerve Stimulation in Patients with Epilepsy
Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models
Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain-Computer Interface
A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach
Adaptive Fuzzy Control with Output Feedback for H ∞ Tracking of SISO Nonlinear Systems
Tracking the Reorganization of Module Structure in Time-Varying Weighted Brain Functional Connectivity Networks
Principles of The Design of D-Neuronal Networks II: Composing Simple Melodies
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems
Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification
Neuromodulation of Epileptic Foci in Patients with Non-lesional Refractory Motor Epilepsy
Supervised Learning On Large Redundant Training Sets
Early Prediction of Medication Refractoriness in children with Idiopathic epilepsy Based on scalp EEG Analysis
Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation Paradigm
Indirect Adaptive Control of Unknown Multi Variable nonlinear Systems with Parametric and Dynamic Uncertainties Using a New Neuro-Fuzzy System Description
Discrimination of Schizophrenia Auditory Hallucinators by Machine Learning of Resting-State Functional MRI
Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG
Analogue VLSI for Probabilistic Networks and Spike-Time Computation
Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction
Alopex-B: A New, Simpler, But Yet Faster Version Of The Alopex Training Algorithm
Lightweight Seizure Detection Based on Multi-Scale Channel Attention
A New Delay Connection for Long Short-Term Memory Networks
Automated Video Detection of Epileptic Convulsion Slowing as a Precursor for Post-Seizure Neuronal Collapse
Electrode Fusion for the Prediction of Self-Initiated Fine Movements from Single-Trial Readiness Potentials
Control of Spatiotemporal Chaos in Neuronal Networks
A Neural-Network Approach For Visual Cryptography And Authorization
Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks
Fast Activity Evoked by Intracranial 50 Hz Electrical Stimulation as a Marker of the Epileptogenic Zone
Speech Recognition by a Self-Organizing Feature Finder
Neuro-fuzzy Decision Trees
Translation-, Rotation-, Scale-, and Distortion-Invariant Object Recognition Through Self-Organization
Neural Synchronization via Potassium Signaling
Template learning of cellular neural network using genetic programming
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain
A novel approach for short-term load forecasting using support vector machines
A Neuron-Based Time-Optimal controller of Horizontal Saccadic eye movements
Multi-Order Extension Codes for Palmprint Recognition
Brain Computer Interfaces for Assisted Communication in Paralysis and Quality of Life
Handwritten Digit Recognition Using Two-Layer Self-Organizing Maps
Towards Artificial Speech Therapy: A Neural System for Impaired Speech Segmentation
Letter to the Editor: A Storage Algorithm for Two-Layered Neural Networks
Phase Synchronization in Brain Networks derived from Correlation between Probabilities of Recurrences in Functional MRI Data
A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks
Improving the Discriminatory Capabilities of a Neural Classifier by Using a Biased-Wavelet Layer
Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting
Dynamic Reorganization of the Cortical Functional Brain Network in Affective Processing and Cognitive Reappraisal
Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis
Reinforcement Learning in Supply Chains
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation
Aberrant Thalamocortical Connectivity in Juvenile Myoclonic Epilepsy
The use of gas-sensor arrays to diagnose urinary tract infections
Training SVMs with EDR Algorithm
SPIKEII: An Integrate-and-Fire AVLSI Chip
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model
Use of multilayer feedforward neural nets as a display method for multidimensional distributions
A Clustering-Based Fuzzy Wavelet Neural Network Model for Short-Term Load Forecasting
A Local Training-Pruning Approach for Recurrent Neural Networks
Dynamical and Complexity Results for High Order Neural Networks
Neural Network Control Systems that Learn to Perform Appropriately
Convolutional Neural Networks Quantization with Double-Stage Squeeze-and-Threshold
Towards Reasoning and Coordinating Action in the Mental Space
Double-Layered Models Can Explain Macro and Micro Structure of Human Sleep
Effective Automatic Method Selection for Nonlinear Regression Modeling
Discrimination Improvement Through Undesirable Feedback in Coupling Object Manipulation Tasks
Exploring a Type of Central Pattern Generator Based on Hindmarsh-Rose Model: From Theory to Application
A Short-Term Temperature Forecaster Based on a Novel Radial Basis Functions Neural Network
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease
A Hybrid Time-Distributed Deep Neural Architecture for Speech Emotion Recognition
A Decade of Experience with Deep Brain Stimulation for patients with Refractory Medial Temporal Lobe epilepsy
Training neural networks by means of genetic algorithms working on very long chromosomes
Book Review: "Evolution of the First Nervous Systems", Peter A. V. Anderson (ed.)
On Stability of Cellular Neural Networks with Polynomial Interactions
Erratum: "flexible Structure Multiple Modeling Using Irregular Self-Organizing Maps Neural Network"
How the Cerebellum and Prefrontal Cortex Cooperate During Trace Eyeblinking Conditioning
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning
Recognition of Rules and Exceptions by Neural Networks
Neural Correlates of Mathematical Problem Solving
Delay-Dependent Robust Exponential Stability for Uncertain Recurrent Neural Networks with Time-Varying Delays
An LMI Approach to Design H infinity Controllers for Discrete-Time Nonlinear Systems Based on Unified Models
Book Review: Empirical Methods for Artificial Intelligence
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems
Design of assistive Wheelchair System directly Steered by Human Thoughts
Referring Image Segmentation with Multi-Modal Feature Interaction and Alignment Based on Convolutional Nonlinear Spiking Neural Membrane Systems
Functional Semi-Blind Source Separation Identifies Primary Motor Area Without Active Motor Execution
Defense Against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks
Chaotic Synchronization Using a Network of Neural oscillators
A Second Level Neural Network Trigger in the H1 Experiment at Hera
Noise-enhanced performance in a cortical associative memory model
Altered Structural and Functional Feature of Striato-Cortical Circuit in Benign Epilepsy with Centrotemporal Spikes
Theoretical analysis of a time-frequency-pcnn auditory cortex model
A Neural Network Architecture for Data Classification
Neural Network Visual Recognition for Automation of the Microelectromechanical Systems Assembly
On the Computational Complexity of Spiking Neural Membrane Systems with Colored Spikes
Neuronal Entropy-Rate Feature of Entopeduncular Nucleus in Rat Model of Parkinson's Disease
Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals
A Modified Lamstar Neural Network and its Applications
Dynamic Characteristics of a New Three-Dimensional Linear Homeomorphic Saccade Model
The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks
Single-Cell Recordings to Target the Anterior Nucleus of the Thalamus in Deep Brain Stimulation for Patients with Refractory Epilepsy
Fast Oscillations in Cortical Circuits, by Roger D. Traub, John G. R. Jefferys and Miles A. Whittington
Global Synchronization in an Array of Discrete-Time Neural Networks with Nonlinear Coupling and Time-Varying Delays
Physiological Ripples Associated with Sleep Spindles Differ in Waveform Morphology from Epileptic Ripples
High Resolution Measurement of Translucent Plastic Wall Thicknesses by Computerized Tomography and Neural Networks
Hardware Implementation of Stochastic Spiking Neural Networks
Variable Sensitivity in Unsupervised Clustering Tasks with an N-Tuple-Based Self-Organising Neural Network
Features Selection and Architecture Optimization in Connectionist Systems
An Embedded Saliency Map Estimator Scheme: Application to Video Encoding
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks
Multiview Feature Fusion Representation for Interictal Epileptiform Spikes Detection
Classification and Prediction of Protein Side-Chains by Neural Network Techniques
SATEER: Subject-Aware Transformer for EEG-Based Emotion Recognition
Memory Retrieval in Optimal Subspaces
Closed-Loop Seizure Control with Very High Frequency Electrical Stimulation at Seizure Onset in the Gaers Model of Absence Epilepsy
Abnormal interictal Gamma Activity May Manifest a Seizure Onset Zone in Temporal Lobe Epilepsy
Book Review: "Neural Networks for Pattern Recognition", by Christopher M. Bishop
Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification
An Experimental Study of Hybridizing Cultural Algorithms and Local Search
Flexible Structure Multiple Modeling Using Irregular Self-Organizing Maps Neural Network
Global Convergence of Delayed Neural Network Systems
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition
Adaptive fuzzy control of unstable nonlinear systems
A New Direct Adaptive regulator with Robustness Analysis of Systems in Brunovsky Form
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers
Pose Estimation in Automated Visual Inspection Using Genetic Algorithm
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI
Determination of dependent and Independent Communication Paths using Neural Networks
Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction
Dynamics of the "Cognitive" Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment
The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm
Data Mining of Inputs: Analysing Magnitude and Functional Measures
Caller Behaviour Classification Using Computational Intelligence Methods
Enhancement of Hippocampal Spatial Decoding Using a Dynamic Q-Learning Method With a Relative Reward Using Theta Phase Precession
Incremental Learning in Biological and Machine Learning Systems
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity
Response to Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression, International Journal of Neural Systems, Vol. 31 No. 3 (2021)
A New Measurement of Noise Immunity and Generalization Ability for MLPs
A multi-clustering fusion scheme for data partitioning
Multi-Sensor Neural-Network Processing of Noisy Speech
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity
Different Scales of Cortical Organization are Selectively Targeted in the Progression to Alzheimer's Disease
Image Sharpness and Contrast Tuning in the Early Visual Pathway
Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study
Dynamics of Compensatory Eye Movement Control: an Optimal Estimation Analysis of the Vestibulo-Ocular Reflex
Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment
Unsupervised EEG-Based Seizure Anomaly Detection with Denoising Diffusion Probabilistic Models
Hardware Prototypes of a Boolean Neural Network and the Simulated Annealing Optimization Method
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease
Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System
Precise Localization for Anatomo-Physiological Hallmarks of the Cervical Spine by Using Neural Memory Ordinary Differential Equation
Code-Specific Learning Rules Improve Action Selection by Populations of Spiking Neurons
Thermodynamic Transitions In Networks For Letter Distinction
Abnormal Behavior Recognition Based on 3D Dense Connections
Manipulator Adaptive Control by Neural Networks in an Orange Picking Robot
A Neural Net With Self-Inhibiting Units For The N-Queens Problem
Simple Neuron Models for Independent Component Analysis
Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation
Improving Artmap Learning Through Variable Vigilance
Short-Term Effects of Binaural Beats on EEG Power, Functional Connectivity, Cognition, Gait and Anxiety in Parkinson's Disease
An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces
Neural Network Analysis of Thermal Image Data
Development of a Ternary Near-Infrared Spectroscopy Brain-Computer Interface: Online Classification of Verbal Fluency Task, Stroop Task and Rest
Improving Classification Accuracy and Causal Knowledge for Better Credit Decisions
A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems
Proprioceptive Recognition with Artificial Neural Networks Based on Organizations of Spinocerebellar Tract and Cerebellum
Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data
Novel Stability Criteria on Discrete-Time Neural Networks with Both Time-Varying and Distributed Delays
Learning Learning Sets in Neural Networks
Surface EEG-Transcranial Direct Current Stimulation (tDCS) Closed-Loop System
A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models
Frequency-Multiplexing Ability of Complex-Valued Hebbian Learning in Logic Gates
Inductive Learning Approaches to Rainfall-Runoff Modelling
Increasing N200 Potentials Via Visual Stimulus Depicting Humanoid Robot Behavior
Letter to the Editor: Neural Solution to the Correction of Miss Distance in Gun Fire Control System
Instabilities and Oscillation in the Deterministic Boltzmann Machine
A Proposed Max-Product Threshold Unit for Classification of Pattern Vectors
Principles of the Design of D-Neuronal Networks I: Net Representation for Computer Simulation of a Melody Compositional Process
Using Neural Networks to Automatically Detect Brain Tumours in MR Images
Online Clustering Algorithms
Generalization of Features in the Assembly Neural Networks
Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory
Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition
The Nonlinear Predictability of the Electrotelluric Field Variations Data Analyzed with Support Vector Machines as an Earthquake Precursor
Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks
Multiprocessor And Memory Architecture Of The Neurocomputer Synapse-1
Synchronization of Stochastic Delayed Neural Networks with Markovian Switching and its Application
Modeling fluctuations in Default-Mode Brain Network Using a Spiking Neural Network
A Cascading Structure and Training Method for Multilayer Neural Networks
Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine
A Computational Framework for Realistic Retina Modeling
Feedforward Neural Network with Adaptive Reference Pattern Layer
Assessment of Feature Selection and Classification Approaches to Enhance Information from overnight oximetry in the Context of Apnea Diagnosis
Transcutaneous Focal Electrical Stimulation via Concentric Ring Electrodes Reduces Synchrony Induced by Pentylenetetrazole in beta and Gamma Bands in Rats
NSL: A Neuro-Symbolic Language for a Neuro-Symbolic Processor (NSP)
What Causes Ion Channel Proteins to Fluctuate Open and Closed?
Cortical Asymmetries and Connectivity Patterns in the Valence Dimension of the Emotional Brain
Book Review: "Impossible Minds", by Igor Aleksander
Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm
Applications of support vector machines to cancer classification with microarray data
A Cerebellum-Inspired Learning Approach for Adaptive and Anticipatory Control
Neural Networks in Petroleum Engineering: a Case Study
Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures
A Transformational Journal Navigating through the Age of Knowledge Under an Extraordinary Captain
Online Automated Seizure Detection in Temporal Lobe Epilepsy Patients Using Single-lead ECG
A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace
A Robust 3D-Convolutional Neural Network-Based Electroencephalogram Decoding Model for the Intra-Individual Difference
Dynamic Regulation of the Serotonin-Dopamine Interaction Within a Meta-reinforcement Learning Framework Encompassing the Prefrontal Cortex and Basal Ganglia
Compact Hardware Synthesis of Stochastic Spiking Neural Networks
Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification
A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling
A Macroscopic Model of Neural Ensembles: Learning-Induced Oscillations in a Cell Assembly
Corticomotoneuronal Model for Intraoperative Neurophysiological Monitoring During Direct Brain Stimulation
Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation
Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion
Associative Memory Design Using Overlapping Decomposition and Generalized Brain-State-in-a-Box Neural Networks
A Real-Time Method for Decoding the Neural Drive to Muscles Using Single-Channel Intra-Muscular EMG Recordings
Bridges Between Spiking Neural Membrane Systems and Virus Machines
Spatial Enhanced Pattern Through Graph Convolutional Neural Network for Epileptic EEG Identification
Biomechanical Stability Analysis of the lambda-Model Controlling One Joint
Small World Index in Default Mode Network Predicts Progression from Mild Cognitive Impairment to Dementia
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment
Genetic Programming of Polynomial Harmonic Networks Using the Discrete Fourier Transform
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics
Nonlinear System Modelling Via Optimal Design Of Neural Trees
Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG
Establishing an Index Arbitrage Model by Applying Neural Networks Method - A Case Study of Nikkei 225 Index
Learning the Rule of a Time Series
Lightweight Seizure Prediction Model based on Kernel-Enhanced Global Temporal Attention
When is a Potential Function Accurate Enough for Protein Structure Prediction?
Designing A Connectionist Network Supercomputer
Retrieval in Interacting Neural Networks
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals
Self-Supervised EEG Representation Learning with Contrastive Predictive Coding for Post-Stroke Patients
Network Complexity and Synchronous Behavior - an Experimental Approach
An Attractor Neural Network Model of Classical Conditioning
Thirty years of IJNS - A Clinician's View
On the Learning Potential of the Approximated Quantron
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks
Indirect Adaptive Control of nonlinear Systems Based on Bilinear Neuro-Fuzzy Approximation
Identification of Retinal Ganglion Cell Firing Patterns Using Clustering Analysis Supplied with Failure Diagnosis
Side effects of Normalising Radial Basis Function Networks
Real Time Image Processing with an Analog Vision Chip System
An application of hamiltonian neurodynamics using pontryagin's maximum (minimum) principle
Assessing RBF Networks Using DELVE
Span: Spike Pattern Association Neuron for Learning Spatio-Temporal Spike Patterns
The role of global and feature based information in gender classification of faces: a comparison of human performance and computational models
A Constrained Neural Network Kalman Filter for Price Estimation in High Frequency Financial Data
Dynamics of betting behavior under flat reward condition
From Sensors to Spikes: Evolving Receptive Fields to Enhance Sensorimotor Information in a Robot-Arm
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery
Gap Junctions as Common Cause of High-Frequency Oscillations and Epileptic Seizures in a Computational Cascade of Neuronal Mass and Compartmental Modeling
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation
Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface
Asymptotic Hyperstability of a Class of Neural Networks
Detecting Low Dimensional Dynamics in Biological Experiments
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach
Random Activity at the Microscopic Neural Level in Cortex ("Noise") Sustains and is Regulated by Low-Dimensional Dynamics of Macroscopic Cortical Activity ("Chaos")
Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning