yusuke1997/dblp-id-title huggingface dataset:
An interactive multimedia system on "computer architecture, organization, and design"
Assessing the Impact of Reflective Activities in Digital and Analog Electronics Courses
An Object Tuple Model for Understanding Pointer and Array in C Language
The Robotic Decathlon: Project-Based Learning Labs and Curriculum Design for an Introductory Robotics Course
Electromagnetic scattering from thin strips. I. Analytical solutions for wide and narrow strips
Personalizing Sample Databases With Facebook Information to Increase Intrinsic Motivation
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain
Rule Extraction with Fuzzy Neural Network
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery
A low-Dimensional, Time-resolved and Adapting Model Neuron
Population Oscillations in Neuronal Groups
Causal Coupling Between Electrophysiological Signals, Cerebral Hemodynamics and Systemic Blood Supply Oscillations in Mayer Wave Frequency Range
A bayesian recurrent neural network for unsupervised pattern recognition in large incomplete data sets
Combining Regression Trees and Radial Basis Function Networks
Improving Supervised Learning by Adapting the Problem to the Learner
Reachability Analysis of Neural Masses and Seizure Control Based on Combination Convolutional Neural Network
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches
Artificial Metaplasticity Neural Network Applied to Credit Scoring
Perceptual suppression revealed by Adaptive Multi-Scale Entropy Analysis of Local Field potential in monkey Visual cortex
Improved Neural Networks For Linear and Nonlinear Programming
Understanding Robot Gesture Perception in Children with Autism Spectrum Disorder during Human-Robot Interaction
Nonlinear Spiking Neural Systems for Thermal Image Semantic Segmentation Networks
Coupling Between Brain Structures During Visual and Auditory Working Memory Tasks
Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets
A Prompt-Guided Generative Language Model for Unifying Visual Neural Decoding Across Multiple Subjects and Tasks
Constrained Learning Vector Quantization
Space Partitioning Strategies for Indoor WLAN Positioning with Cascade-Connected ANN Structures
Adaptive k-Means Algorithm for Overlapped Graph Clustering
Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity
Predicting a Time-Dependent Quantity Using Recursive Generative Query Network
Fast time delay neural networks
An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation
Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation
Synchronization of Slow Cortical Rhythms During Motor Imagery-Based Brain-Machine Interface Control
Concept Hierarchy Memory Model: a Neural Architecture for Conceptual Knowledge Representation, Learning, and Commonsense Reasoning
Sentence Alignment Using Feed Forward Neural Network
Adaptive Thresholds for Neural Networks with Synaptic Noise
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions
Pattern Recognition: Invariants in 3d
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks
An Intelligent Load Shedding Scheme Using Neural Networks and Neuro-Fuzzy
A Neural Network Based Artificial Vision System for Licence Plate Recognition
Evolving Digital Circuits Using Hybrid Particle Swarm Optimization and Differential Evolution
An Iconic Transdisciplinary Journal Moving the Frontiers of Innovation with a Visionary Leader
A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand
Analysis of training set parallelism for backpropagation neural networks
The Clusnet Algorithm And Time Series Prediction
Testing of Information Condensation in a Model Reverberating Spiking Neural Network
String Matching Artificial Neural Networks
Fusing Self-Organized Neural Network and Keypoint Clustering for Localized Real-Time Background Subtraction
Learning with Delayed Reinforcement Through Attention-Driven Buffering
The Prospects for Analogue Neural VLSI
Phase resetting Analysis of High potassium epileptiform Activity in CA3 Region of the rat Hippocampus
A High-Speed Brain Speller using steady-State Visual evoked potentials
Book Review: The Subtlety of Sameness, by Robert M. French
Human Brain Dynamics and Coordination Reflect the Task Difficulty of Optical Image Relational Reasoning
Erratum: "neuro-fuzzy Decision Trees"
Automatic Identification of Epileptic and Background EEG Signals Using Frequency Domain Parameters
A Multimodal Fusion Approach for Human Activity Recognition
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States
Probability Density Function Learning by Unsupervised Neurons
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning
Data Compliance Utilization Method Based on Adaptive Differential Privacy and Federated Learning
Cursive Word Recognition Based on Interactive Activation and Early Visual Processing Models
Lmi-Based asymptotic Stability Analysis of Neural Networks with Time-Varying Delays
A Som Projection Technique with the Growing Structure for Visualizing High-Dimensional Data
Ensemble competitive learning neural networks with reduced input dimension
Patterns Out of Cases Using Kohonen Maps in Breast Cancer Diagnosis
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels
Real-Time Neural Network Based Camera Localization and its Extension to Mobile Robot Control
Hybrid Neural Intelligent System to Predict Business Failure in Small-to-Medium-Size Enterprises
Minimal Neural Network Conditions for Encoding Future Interactions
Dynamic Properties of A Biologically Motivated Neural Network Model
Masked Transformer for Image Anomaly Localization
A Graph-Based Neural Approach to Linear Sum Assignment Problems
Neural Network Models for Earthquake Magnitude Prediction Using Multiple seismicity Indicators
Learning Constraints in Storage Capacity in Networks with Dynamic Synapses
A Discrete Fully Recurrent Network of Max Product Units for Associative Memory and Classification
Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models
Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG
Silicon Cellular Morphology
Hypothermia Masks Most of the Effects of Rapid Cycling VNS on Rat Hippocampal Electrophysiology
Models of hopfield-type quaternion neural networks and their energy functions
An Explainable 3D-Deep Learning Model for EEG Decoding in Brain-Computer Interface Applications
Neural Nets for Kink Finding
Improved Option Pricing Using Artificial Neural Networks and Bootstrap Methods
Neuronal Dynamics Under Periodic Stimuli
An improved genetic algorithm based fuzzy-tuned neural network
Light Adaptation and Reliability in Blowfly Photoreceptors
Editorial: Celebration of the 30th Anniversary of IJNS
Fingerprint Image Enhancement Using CNN Filtering Techniques
Can Neural Networks be Used As Models for Neuropsychological Dysfunctions?
Synchronization Analysis In Epileptic EEG Signals Via State Transfer Networks Based On Visibility Graph Technique
A Node Pruning Algorithm for Backpropagation Networks
Comparison of ictal and interictal EEG signals using Fractal Features
A Neural Network Methodology of Quadratic Optimization
Processing of Sensory Information by a Network of Oscillators with Memory
Lightweight Diffusion Models Based on Multi-Objective Evolutionary Neural Architecture Search
Exercising Multi-Layered Networks on Protein Secondary Structure
Modular Neural Networks A Survey
A Methodology to Differentiate Parkinson's Disease and Aging Speech Based on Glottal Flow Acoustic Analysis
Electron and Pion Identification by Neural Networks and Standard Methods
A New Type of Self-Organization Associated with Chaotic Dynamics in Neural Networks
A Self-Organizing Algorithm for Vector Quantizer Design Applied to Signal Processing
Cellular Neural Networks (CNN) with Linear Weight Functions for a Prediction of Epileptic Seizures
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease
A Fuzzy Neural Network for Knowledge Learning
Gaussian Processes For Machine Learning
A Hybrid Neural Network of Addressable and Content-Addressable Memory
Using Fractal and Local Binary Pattern Features for Classification of ECOG Motor Imagery Tasks Obtained from the Right Brain Hemisphere
Multi/infinite dimensional neural networks, multi/infinite dimensional logic theory
Autonomous Learning based on Cost Assumptions: Theoretical Studies and Experiments in Robot Control
A Neural Network Model to Simulate a Conditioning Experiment
Asynchronous Detection of Trials Onset from Raw EEG Signals
Local Neocortical Processing: a Time for Recognition
Comparison of multilayer neural network and nearest neighbor classifiers for handwritten digit recognition
Kernel-Kohonen Networks
Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data
Training Simultaneous Recurrent Neural Network with Resilient Propagation for Static Optimization
A Robust Subspace Algorithm for Principal Component Analysis
Dynamic Memorization Characteristics in Neural Networks with Different Neuronal Dynamics
Predicting conditional probability distributions: a connectionist approach
Neural Oscillation Correlates Chemistry Decision-Making
Encrypted Image Classification with Low Memory Footprint Using Fully Homomorphic Encryption
Intrinsic Synchronization Analysis of Brain Activity in Obsessive-compulsive Disorders
Pulse Stream Vlsi Circuits And Systems: The Epsilon Neural Network Chipset
Multi-Biosignal Analysis for Epileptic Seizure Monitoring
Neocognitron's Parameter Tuning by Genetic Algorithms
Nonlinear System Identification Based on Internal Recurrent Neural Networks
Neural Network Feature Detector For Real-Time Video Signal Processing
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model
Gps Receivers Timing Data Processing Using Neural Networks: Optimal Estimation and Errors Modeling
Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis
Dynamical recurrent neural networks -- towards environmental time series prediction
Modeling Head end Escape Behavior in the Earthworm: the Efferent Arc and the End Organ
CNN Universal Machine as Classificaton Platform: An Art-Like Clustering Algorithm
Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models
Trans-Dimensional Learning
Vagus Nerve Electroneurogram-Based Detection of Acute Pentylenetetrazol Induced Seizures in Rats
Associative Memory in quaternionic Hopfield Neural Network
A Gradient System Solution To Potts Mean Field Equations And Its Electronic Implementation
Entropy Learning and Relevance Criteria for Neural Network Pruning
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis
Understanding Time-Series Networks: A Case Study in Rule Extraction
Effect of Stimulus Parameters in the Treatment of Seizures by Electrical Stimulation in the Kainate Animal Model
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods
On the Segmentation and Classification of Hand Radiographs
Spoken Letter Recognition with Neural Networks
Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration
Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication
VLSI Implementation of Neural Networks
Optimal Hebbian Learning Rules and the Role of Asymmetry
Stochastic ICA Contrast Maximisation Using Oja's Nonlinear PCA Algorithm
Neural Network Based Automatic Diagnosis of Children with Brain Dysfunction
Relationship Between a Fuzzy Logic and a Steepest Descent Approach to Optimize a Feedforward Artificial Neural Network Configuration
Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network
Neural Adaptive Control of Nonlinear Multivariable Systems with Application to a Class of Inverted Pendulums
Coupled Singular Value Decomposition of a Cross-Covariance Matrix
Wavelet-Based Biphase Analysis of Brain Rhythms in Automated Wake-Sleep Classification
Galvanic Vestibular Stimulation-Based Prediction Error Decoding and Channel Optimization
Classification of Impulse Radar Waveforms Using Neural Networks
Neural Networks for Physics Analysis in Delphi
Roughness-Length-Based Characteristic Analysis of Intracranial EEG and Epileptic Seizure Prediction
Generation of Associative Processes in a Neural Network with Realistic Features of Architecture and Units
Selective Attention to Perceptual Groups: the Phase Tracking Mechanism
A correlation significance learning scheme for auto-associative memories
An Analog VLSI Inplementation of a Visual Interneuron Enhanced Sensory Processing Through Biophysical Modeling
Multi-Strategy coevolving aging Particle Optimization
A Flexible Annealing Chaotic Neural Network to Maximum Clique Problem
Analysis and Implementation of a Neural Extended Kalman Filter for Target Tracking
Simultaneous Detection of Action Potential Current Waveforms and Single Ion Channel Openings in Rat Cerebellar Granule Cells
An Annealed Chaotic Maximum Neural Network For Bipartite Subgraph Problem
An Experimental Study of Neural Approaches to Multi-Hop Inference in Question Answering
Efficient Training Of Rbf Networks For Classification
Automated seizure Detection using EKG
A Genetic Graph-Based Approach for Partitional Clustering
Development of an AI-Enabled System for Pain Monitoring Using Skin Conductance Sensoring in Socks
Stability of Multilayered Neural Networks
A New Linear muscle Fiber Model for Neural Control of saccades
Stochastic Resonance and Time Advance Coding in Chemical Reactions
An improved transiently chaotic neural network for the maximum independent set problem
From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity
EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses
Neural Network Approach for Image chromatic Adaptation for Skin Color Detection
Using Neural Networks to Solve the Multicast Routing Problem in Packet Radio Networks
Stiefel-Manifold Learning by Improved Rigid-Body Theory Applied to ICA
Average Case Analysis of an Hebb-Type Rule that Finds the Network Connectivity
Analogue Synaptic Noise - Implications And Learning Improvements
A Hardware Efficient Cascadable Chip Set For Ann'S With On-Chip Backpropagation
Expanding Domain-Specific Datasets with Stable Diffusion Generative Models for Simulating Myocardial Infarction
A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation
A Discrete-Time Lagrangian Network for Solving Constrained Quadratic Programs
Feature Decomposition Architectures for Neural Networks: Algorithms, Error Bounds, and Applications
Book Review: "Neurocomputers: An Overview of Neural Networks in VLSI", by Manfred Glesner and Werner Pochmuller
The Modelling of Chemical Modulation in Neural Networks
Temporal Modulation of Steady-State Visual Evoked Potentials
The Thermodynamics of Dyslexic Learning
Vlsi Devices and Circuits for Neural Networks
Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction
Decoding Saccade Intention From Primate Prefrontal Cortical Local Field Potentials Using Spectral, Spatial, and Temporal Dimensionality Reduction
Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference
Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning
Automatic Seizure Detection using Fully Convolutional Nested LSTM
Manifold Learning for Robot Navigation
Analog Cmos Neural Circuits - In Situ Learning
Using Weighted Fixed Neural Networks for Unsupervised Fuzzy Clustering
Constrained Potts Mean Field Systems and Their Electronic Implementation
Deep Neural Architectures for Mapping Scalp to Intracranial EEG
Thermodynamics Energy for both Supervised and Unsupervised Learning Neural Nets at a Constant Temperature
Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing
Movement-Related EEG Oscillations of Contralesional Hemisphere Discloses Compensation Mechanisms of Severely Affected Motor Chronic Stroke Patients
Directed Vectors for Generation of Independent Subspaces in the Bio-inpired Networks
Application of the Recommendation Architecture to Telecommunications Network Management
Spatial Distribution of Eye-Movements After Central Vision Loss is Consistent with an Optimal Visual Search Strategy
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation
Blood glucose Level Neural Model for Type 1 Diabetes Mellitus Patients
An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition
Nonlinear System Identification and Control Based on Modular Neural Networks
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods
Multilayer Neural Networks and Function Reconstruction by Using a priori Knowledge
Sensory Feedback in CNN-Based Central Pattern Generators
Parity and the Shapes of Neuron Transfer Functions in Feedforward Neural Networks
Chaos-Based Mixed Signal Implementation of Spiking Neurons
Edge Computing Transformers for Fall Detection in Older Adults
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing
Extracting and Classifying Spatial Muscle Activation Patterns in Forearm Flexor Muscles Using High-Density Electromyogram Recordings
Definition of New 3D Invariants -- Applications to Pattern Recognition Problems with Neural Networks
Existence and Global Exponential Stability of Periodic Solution of a Class of impulsive Networks with Infinite Delays
Treating Epilepsy via Adaptive Neurostimulation: a Reinforcement Learning Approach
The combined use of self-organizing maps and andrews' curves
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals
CDMA & TDMA Based Neural Nets
Bregman Divergences for Growing Hierarchical Self-Organizing Networks
On the Capacity of Multilayer Neural Networks Trained with Backpropagation
Pattern Storage and Hopfield Neural Associative Memory with Hidden Structure
On the structure and initial parameter identification of gaussian rbf networks
Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks
Dyslexic Behaviour of Feedforward Neural Networks
Determination of Antiepileptic Drugs Withdrawal Through EEG Hjorth Parameter Analysis
Network Disruption in the Preclinical Stages of Alzheimer's Disease: From Subjective Cognitive Decline to Mild Cognitive Impairment
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models
Computational Neurogenetic Modelling: a Pathway to New Discoveries in Genetic Neuroscience
Design of a Neurofuzzy Controller with Simplified Architecture
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer
A New Work Mechanism on Neuronal Activity
Understanding of Task-Specific and Subject-Specific Components in Surface EMG
A Scalable Weight-Free Learning Algorithm for Regulatory Control of Cell Activity in Spiking Neuronal Networks
Tagging B and C Quark Events in e + e - Collisions with Neural Networks
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network
Optoelectronic Implementation Of Neural Networks
The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems
Bursting Near Bautin bifurcation in a Neural Network with Delay Coupling
Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization
Noise in Models of Neurological and Psychiatric Disorders
Backpropagation through Time Training of a Neuro-Fuzzy Controller
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 Hybrid Classifier for Remote Sensing Applications
A Modular Neural Network Architecture for Pattern Classification Based on Different Feature Sets
Identification of Coherent Structures in Turbulent Shear Flows with a Fuzzy Artmap Neural Network
Modeling a Particular Decision Process by Using a Modulatory Activation Function
Neural networks for the optimization of crude oil blending
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers
Edge Detection Method Based on Nonlinear Spiking Neural Systems
Hierarchical Genetic Algorithm for Near-Optimal Feedforward Neural Network Design
Principal States of Dynamic Functional Connectivity Reveal the Link Between Resting-State and Task-State Brain: An fMRI Study
An Unsupervised Online Spike-Sorting Framework
An Automated Procedure for Cluster Analysis of Multivariate Satellite Data
Multi-layer Feature Cascade Fusion Spiking Neural Network for Object Detection
Multilayer perceptrons to approximate complex valued functions
Deep Learning for EEG Seizure Detection in Preterm Infants
Neuronal Ensembles: Strategies for Recording and Decoding by H. Eichenbaum and J. L. Davis
Discussion on S. Shirani, A. Valentin, G. Alarcon, F. Kazi and S. Sanei, Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation, International Journal of Neural Systems, Vol. 33, No. 2 (2023) 2350008
Erratum: "the uniqueness Theorem for Complex-Valued Neural Networks with Threshold Parameters and the Redundancy of the Parameters"
Cortical Cells Do NOT Perform Temporal Integration of Small EPSPs
Preventive and Abortive Strategies for Stimulation Based Control of Epilepsy: A Computational Model Study
Dynamic Redistribution of Plasticity in a Cerebellar Spiking Neural Network Reproducing an Associative Learning Task Perturbed by TMS
An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions
Dilation and Translation for Incomplete Sigma-Pi Neural Networks of Hopfield-Type - A Case Study
Realization of Couplings in a Polynomial Type Mixed-Mode Cellular Neural Network
Chaos Control by Electric Current in an Enzymatic Reaction
Quantitative Assessment of Electroencephalogram Reactivity in Comatose Patients on Extracorporeal Membrane Oxygenation
Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals
Introduction By Guest Editors: Non-Gradient Learning Techniques
On the equivalence of two-layered perceptrons with binary neurons
A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments
Objective Assessment of Disorders of Consciousness Based on EEG Temporal and Spectral Features
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers
On Neural Blind Separation with Noise Suppression and Redundancy Reduction