yusuke1997/dblp-id-title huggingface dataset:
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
About Some Perception Problems in Neural Networks
Advances in Neyman-Pearson Neural Detectors Design
A Parallel Skeleton for Genetic Algorithms
Wine Classification with Gas Sensors Combined with Independent Component Analysis and Neural Networks
Geometric Model of Orientation Tuning Dynamics in Striate Neurons
Risk Prediction of Femoral Neck Osteoporosis Using Machine Learning and Conventional Methods
A Continuous Time Structure for Filtering and Prediction Using Hopfield Neural Networks
Pooling Spike Neural Network for Acceleration of Global Illumination Rendering
ANN Based Solutions: It Is Time to Defeat Real-World and Industrial Dilemmas
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound
Towards an On-Line Neural Conditioning Model for Mobile Robots
Fault Detection and Prediction of Clocks and Timers Based on Computer Audition and Probabilistic Neural Networks
Current Source Density Analysis as a Tool to Constrain the Parameter Space in Hippocampal CAI Neuron Models
Feature Extraction with an Associative Neural Network and Its Application in Industrial Quality Control
Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?
Design of a Pre-processing Stage for Avoiding the Dependence on TSNR of a Neural Radar Detector
Boosting Annotated Web Services in SAWSDL
Applying Bio-inspired Techniques to the p-Median Problem
The Kolmogorov Signal Processor
Machine Learning Based Screening for Psychological Distress Using a Perceived Control Mobile App
The Capacity and Attractor Basins of Associative Memory Models
State of Health Estimation of Zinc Air Batteries Using Neural Networks
Artificial Ants and Packaging Waste Recycling
Applications in Bio-informatics and Biomedical Engineering
The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data
Bio-inspired Control Model for Object Manipulation by Humanoid Robots
Comparison of Hardware Component and Manycore Implementation for Anomaly Detection in Trustworthy System-on-Chips
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation
Extended Nonlinear Hebbian Learning for Developing Sparse-Distributed Representation
Auto-adaptive Neural Network Tree Structure Based on Complexity Estimator
Research Opportunities in Contextualized Fusion Systems. The Harbor Surveillance Case
Human Memory Assistance through Semantic-Based Text Processing
A Neural Network-Based Approach to Sensor and Actuator Fault-Tolerant Control
Validator for Clinical Practice Guidelines
Inference of Stochastic Regular Languages through Simple Recurrent Networks with Time Delays
Short Term Load Forecasting Using Neural Nets
On Planning in Multi-agent Environment: Algorithm of Scene Reasoning from Incomplete Information
The Long Path of Frustration: A Case Study with Dead by Daylight
Properties of Monoclinic Gallium Oxide Film and Its Photomemristor Application in Nonlinear RMC Circuit
On Member Labelling in Social Networks
A Novel Optimization of Profile HMM by a Hybrid Genetic Algorithm
The Shared Control Paradigm for Assistive and Rehabilitation Robots
Input Pre-Processing for Transformation Invariant Pattern Recognition
Learning Networks for Process Identification and Association Action
Evolving Brain Structures for Robot Control
Image Compression with Self-Organizing Networks
Application of Artificial Neural Networks to Chest Image Classification
Construction and Debugging of a Multi-Agent Based Simulation to Study Ambient Intelligence Applications
Inductive Bias in Recurrent Neural Networks
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
A Learning Rule for Extracting Temporal Invariances
Distributed Tracking System for Patients with Cognitive Impairments
Periodic and Synchronic Firing in an Ensemble of Identical Stochastic Units: Structural Stability
Determining Hyper-planes to Generate Symbolic Rules
Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network
Automatic Prediction of the Genetic Code
Football Video Annotation Based on Player Motion Recognition Using Enhanced Entropy
Learning Heuristics for k-NANN-A * : A Deep Learning Approach
Post-synaptic Time-Dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model
Challenge for a Real-World Information Processing by Means of Real-Time Neural Computation and Real-Conditions Simulation
Pattern Repulsion Revisited
Effective Black Box Adversarial Attack with Handcrafted Kernels
Characterization and Synthesis of Objects Using Growing Neural Gas
Evaluation, Classification and Clustering with Neuro-Fuzzy Techniques in Integrate Pest Management
A Model for Heterogeneous Neurons and Its Use in Configuring Neural Networks for Classification Problems
Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers
Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series
Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I
A Coprocessor Card for Fast Neural Network Emulation
Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks
Automated EEG Signals Analysis Using Quantile Graphs
A Robust Multiple Feature Approach to Endpoint Detection in Car Environment Based on Advanced Classifiers
Visualization of Complex Datasets with the Self-Organizing Spanning Tree
Neural Network Based 3D Model Reconstruction with Highly Distorted Stereoscopic Sensors
A Speech Recognition System that Integrates Neural Nets and HMM
An Artificial Neural Network Approach to Automatic Classification of Stellar Spectra
Ensembles of Multilayer Feedforward: Some New Results
An Evolutionary Approach for Sample-Based Clustering on Microarray Data
Highly Modular Architecture for the General Control of Autonomous Robots
Local Stochastic Competition and Vector Quantization
A Competitive-Based Method for Determining the Number of Groups: A Clinical Application
A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs
Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach
A New Geometrical ICA-based Method for Blind Separation of Speech Signals
Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms
Adaptive Cooperation Between Processors in a Parallel Boltzmann Machine
Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification
Optimal Blind Equalization of Gaussian Channels
Hybrid Programming Environments
ECG Beat Classification with Synaptic Delay Based Artificial Neural Networks
Random Ensemble of Extended CNN Structures for Medical Image Recognition
P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface Technologies
ISFET Source Separation Based on Linear ICA
Artificial Neural Networks for the Computation of Traffic Queues
Self-organized Learning by Self-Enforcing Networks
Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles
Neural Network Overtopping Predictor Proof of Concept
The Delphi Process Applied to African Traditional Medicine
Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity
Biophysics of Neural Computation
Using Evolutionary Computation to Improve Mutation Testing
Testing in Agent Oriented Methodologies
Digital Hardware Implementation of ROI Incremental Algorithms
Parallelism in Binary Hopfield Networks
Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation
HERMES: Pervasive Computing and Cognitive Training for Ageing Well
Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution
Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation
Fusion of Self Organizing Maps
Robust Chromatic Identification and Tracking
A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra
A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based
A Novel Framework for Hyperemia Grading Based on Artificial Neural Networks
On Fuzzy c -Means and Membership Based Clustering
Input-Output Fuzzy Identification of Nonlinear Multivariable Systems. Application to a Case of AIDS Spread Forecast
Voice Activity Detection Using Higher Order Statistics
Human/Robot Interface for Voice Teleoperation of a Robotic Platform
Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II
Bistable Gradient Neural Networks: Their Computational Properties
Probabilistic Self-Organizing Graphs
Fast Automatic Architecture Selection on RBF Networks
A Model of Dynamic Visual Attention for Object Tracking in Natural Image Sequences
Two Hardware Implementations of the Exhaustive Synthetic AER Generation Method
Multi-classification with Tri-class Support Vector Machines. A Review
Self-Organising Artificial Neural Networks
Integration of Fuzzy Systems and Genetic Algorithm in Permeability Prediction
Nonequilibrium Model of Neural Networks
RF-Based Human Activity Recognition: A Non-stationary Channel Model Incorporating the Impact of Phase Distortions
Improving a Telemonitoring System Based on Heterogeneous Sensor Networks
ZISC-036 Neuro-processor Based Image Processing
Analysis of Synfire Chains Above Saturation
A Risc Architecture to Support Neural Net Simulation
An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas
Evolutionary Design of a Brain-Computer Interface
Can ICA Help Classify Skin Cancer and Benign Lesions?
Alzheimer's Diagnosis Using Eigenbrains and Support Vector Machines
An Agent Based Approach of Collective Foraging
Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques
A Time-Frequency Blind Source Separation Method Based on Segmented Coherence Function
Neural Networks of the Hopfield Type
A New Input-Output Function for Binary Hopfield Neural Networks
Brain-Computer Interface: Generic Control Interface for Social Interaction Applications
Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling
An Application of Fuzzy State Automata: Motion Control of an Hexapod Walking Machine
QSVM: A Support Vector Machine for Rule Extraction
Posture Transitions Identification Based on a Triaxial Accelerometer and a Barometer Sensor
Character Recognition with Neural Assemblies
Trainable Thresholds for Neural Network Quantization
Neural Network Modelling by Means of Networks of Finite Automata
Self-Organizing Formation of Receptive Fields and Competitive Systems
Neural Networks as Error Correcting Systems in Digital Communications
Use of ANN in a Research Reactor Power Fuzzy Controller
RFuzzy: An Expressive Simple Fuzzy Compiler
Brain Signal Based Continuous Authentication: Functional NIRS Approach
Systems with Slope Restricted Nonlinearities and Neural Networks Dynamics
Adaptable Grammars for Non-Context-Free Languages
A First Step Toward a Possibilistic Swarm Multi-robot Task Allocation
A Neural Network Approach for the Analysis of Multineural Recordings in Retinal Ganglion Cells
Solid-Waste Classification Using Deep Learning Fusion Model
Intelligent Healthcare Managing: An Assistive Technology Approach
Topological Effects on the Performance of Island Model of Parallel Genetic Algorithm
MapA: An Array Processor Architecture for Neural Networks
Colour Image Compression Based on the Embedded Zerotree Wavelet
TALISMAN MDE Framework: An Architecture for Intelligent Model-Driven Engineering
A Post-optimization Method to Improve the Ant Colony System Algorithm
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks
Automatic Fall Detection Using Long Short-Term Memory Network
Power Prediction System for Photovoltaic Panels Using Time Series Neural Networks
Overcoming Non-commutativity in Multi-adjoint Concept Lattices
A Motor Imagery Based Brain-Computer Interface Speller
A Parallel Swarm Library Based on Functional Programming
Combination of GA and ANN to High Accuracy of Polarimetric SAR Data Classification
Classification of Schistosomiasis Prevalence Using Fuzzy Case-Based Reasoning
Autopoiesis and Image Processing: Detection of Structure and Organization in Images
Combining Ranking with Traditional Methods for Ordinal Class Imbalance
An Architecture for Texture Segmentation: from Energy Features to Region Detection
Fast Depth Reconstruction Using Deep Convolutional Neural Networks
Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks
Creation of Semantic Overlay Networks Based on Personal Information
Detection of Cancerous Lesions with Neural Networks
Recovering Missing Data with Functional and Bayesian Networks
Distributed Simulation of P Systems by Means of Map-Reduce: First Steps with Hadoop and P-Lingua
Genetic Algorithms Applied to the Design of 3D Photonic Crystals
Feedback Linearization Using Neural Networks: Application to an Electromechanical Process
SEF-Net: A Hybrid Deep Learning Architecture for Multi-step Forecasting in Sustainable Energy Markets
A Dual Graph Pyramid Approach to Grid-Based and Topological Maps Integration for Mobile Robotics
Social and Cognitive System for Learning Negotiation Strategies with Incomplete Information
A New Evolutionary Diagram: Application to BTGP and Information Retrieval
Designing Messenger Visual, an Instant Messaging Service for Individuals with Cognitive Disability
Features as Keypoints and How Fuzzy Transforms Retrieve Them
Detection of Microcalcifications in Mammograms by the Combination of a Neural Detector and Multiscale Feature Enhancement
Study of Chaos in a Simple Discrete Recurrence Neural Network
Methodology vs. Development Process: A Case Study for AOSE
A Comparison of SSVEP-Based BCI-Performance Between Different Age Groups
Advantages of Using Feature Selection Techniques on Steganalysis Schemes
Computational Experiments with Boltzmann Machines
On the Application of Heteroassociative Morphological Memories to Face Localization
Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study
A Distributed Intelligent Monitoring System Applied to a Micro-scale Turning Process
Cellular Neural Networks for Mobile Robot Vision
A Neural Network Chip Using CPWM Modulation
Segmentation of Occluded Using a Hybrid of Selective Attention and Symbolic Knowledge
Hyperheuristics for a Dynamic-Mapped Multi-Objective Island-Based Model
MLP+H: A Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi-Layer Perceptron Neural Networks
Modeling Retina Adaptation with Multiobjective Parameter Fitting
A New Adaptation of Self-Organizing Map for Dissimilarity Data
Ultra Low-Power Neural Inspired Addition: When Serial Might Outperform Parallel Architectures
AATiENDe: Automatic ATtention Evaluation on a Non-invasive Device
Human Activity Recognition in the Classroom Using Low-Cost Sensors
A Wavelet Based Method for Detecting Multiple Encoding Rhythms in Neural Networks
An Analytical Solution of the Compartment Model for Use in Logical Learning in Artificial Neural Networks
Development and Implementation of a Neural Network-Based Abnormal State Prediction System for a Piston Pump
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices
Visual Knowledge Engineering as a Cognitive Tool
Using an Artificial Neural Network for Studying the Interneuronal Layer of a Leech Neuronal Circuit
Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction
Ant Colony Optimization for Water Distribution Network Design: A Comparative Study
Learning a Markov Process with a Synchronous Boltzmann Machine
HIV Model Described by Differential Inclusions
Selection of Wavelet Decomposition Level for Electro-Oculographic Saccadic De-noising
A GA-optimized Neural Network for Classification of Biological Particles from Electron-Microscopy Images
Optimization Problems on Concurrent Testing Solved by Neural Networks
Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion
LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment
Spatial Inversion and Facilitation in the J. Gonzalo's Research of the Sensorial Cortex. Integrative Aspects
Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach
Continuous Function Optimisation via Gradient Descent on a Neural Network Approximation Function
Neuro-control and Its Applications to Electric Vehicle Control
Enhanced Similarity Measure for Sparse Subspace Clustering Method
On-Line Optimization of Radial Basis Function Networks with Orthogonal Techniques
An Event-Related Potential BCI Speller Using a Wearable, Single-Channel EEG Headset with Electrodes on the Forehead
Feature Vectors Generation for Detection of Microcalcifications in Digitized Mammography Using Neural Networks
Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays
Annotating "Fuzzy Chance Degrees" When Debugging XPath Queries
G-TED SAM: Node Classification via Graph Transformer to Simple Attention Model Distillation
An Efficient Framework to Detect and Avoid Driver Sleepiness Based on YOLO with Haar Cascades and an Intelligent Agent
Visual Surveillance of Objects Motion Using GNG
Fast Evaluation of Connectionist Language Models
Real-Time Sound Source Localization and Separation Based on Active Audio-Visual Integration
Enterprise System Response Time Prediction Using Non-stationary Function Approximations
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition
Ensemble Methods for Boosting Visualization Models
A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition
Synchronized Multi-chain Mixture of Independent Component Analyzers
Fuzzy Logic, Soft Computing, and Applications
ARGEN + AREPO: Improving the Search Process with Artificial Genetic Engineering
On the Power of Networks of Majority Functions
A Growing Neural Gas Algorithm with Applications in Hand Modelling and Tracking
Tests of Different Regularization Terms in Small Networks
Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties
A Web Based Information System for Managing and Improving Care Services in Day Centres
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm
Towards More Realistic Self Contained Models of Neurons: High-Order, Recurrence and Local Learning
Separable Recurrent Neural Networks Treated with Stochastic Velocities
Heuristic Search Based Exploration in Reinforcement Learning
Neurally Inspired Mechanisms for the Dynamic Visual Attention Map Generation Task
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection
Invariant Object Recognition Using Fahlman and Lebiere's Learning Algorithm
AMiRo: A Mini Robot for Scientific Applications
Fuzzy Labeled Self-Organizing Map for Classification of Spectra
Dengue Model Described by Differential Inclusions
Voice Command Recognition Using Statistical Signal Processing and SVM
Adaptive Optimization of Neural Algorithms
Optimization of a Competitive Learning Neural Network by Genetic Algorithms
Hybrid Model for Large Scale Forecasting of Power Consumption
Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation
Representation and Recognition of Regular Grammars by Means of Second-Order Recurrent Neural Networks
Variable Selection in a GPU Cluster Using Delta Test
A Modular VLSI Architecture for Neural Networks Implementation
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
Construction of Suitable DNN-HMM for Classification Between Normal and Abnormal Respiration
General Noise SVRs and Uncertainty Intervals
A Parametrizable Design of the Mechanical-Neural Transduction System of the Auditory Brainstem
Vector Quantization and Projection Neural Network
On Acceleration of Incremental Learning in Chaotic Neural Network
Self-Assembly of Oscillatory Neurons and Networks
Security Testing for Multi-Agent Systems
Neuro-fuzzy Techniques for Image Tracking
Autoorganised Structures for Extraction of Perceptual Primitives
A Modular Attractor Model of Semantic Access
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series
Convolutional Neural Networks with the F-transform Kernels
An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas
Improved Swap Heuristic for the Multiple Knapsack Problem
A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation
A Mobile Tourist Decision Support System for Small Footprint Devices
Nature-Inspired Planner Agent for Health Care
Validation of Unimodal Non-Gaussian Clusters
Suitability of Artificial Neural Networks for Designing LoC Circuits
Efficient Biclustering Algorithms for Time Series Gene Expression Data Analysis
Gait Identification by Using Spectrum Analysis on State Space Reconstruction
Deploying Vision Foundation AI Models on the Edge. The SAM2 Experience
Artificial Neural Networks Applications for Total Ozone Time Series
Multiple Sclerosis Detection via Wavelet Entropy and Feedforward Neural Network Trained by Adaptive Genetic Algorithm
Neural Network Initialization
A New Approach to Detecting Occupational Diseases Using Time Series
Neural Network-Based Insulin Infusion Control for an Insulin-Pump, Using Discontinuous Blood Glucose Measurements
Feature Selection, Ranking of Each Feature and Classification for the Diagnosis of Community Acquired Legionella Pneumonia
A Measure of Noise Immunity for Functional Networks
Automatic Tool for Optic Disc and Cup Detection on Retinal Fundus Images
A Method of Pruning Layered Feed-Forward Neural Networks
A Group k-Mutual Exclusion Algorithm for Mobile Ad Hoc Networks
Using On-Line Arithmetic and Reconfiguration for Neuroprocessor Implementations
Failure Diagnosis of Wind Turbine Bearing Using Feature Extraction and a Neuro-Fuzzy Inference System (ANFIS)
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology
An Industrial Application of Neural Networks to Natural Textures Classification
Discriminative Training of the Scanning N-Tuple Classifier
Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I
Obtaining a Complex Linguistic Data Summaries from Database Based on a New Linguistic Aggregation Operator
Bio-Cirrus: A Framework for Running Legacy Bioinformatics Applications with Cloud Computing Resources
Fingerprint Retrieval Using a Specialized Ensemble of Attractor Networks
Function of Biological Asymmetrical Neural Networks
Approximation of the Solution of the Dendritic Cable Equation by a Small Series of Coupled Differential Equations
The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models
An Ensemble of Classifiers Guided by the AAL Brain Atlas for Alzheimer's Disease Detection
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation
Forward Stagewise Regression on Incomplete Datasets
A Secret Sharing Scheme for Digital Images Based on Cellular Automata and Boolean Functions