yusuke1997/dblp-id-title huggingface dataset:
Autonomous Driving of a Rover-Like Robot Using Neuromorphic Computing
SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease
Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions
Multi-Valued Neurons: Hebbian and Error-Correction Learning
Neural Networks for Defect Detection in Non-destructive Evaluation by Sonic Signals
Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure
OntologyTest: A Tool to Evaluate Ontologies through Tests Defined by the User
Organizational-Oriented Methodological Guidelines for Designing Virtual Organizations
A Formal Framework to Specify and Test Systems with Fuzzy-Time Information
Slow Learning and Fast Evolution: An Approach to Cytoarchitectonic Parcellation
Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach
A Novel Neural Network Parallel Adder
Improving the Performance of Piecewise Linear Separation Incremental Algorithms for Practical Hardware Implementations
Neuro-fuzzy Modeling Applied to GIS: A Case Study for Solar Radiation
Neural Network-Based Simultaneous Estimation of Actuator and Sensor Faults
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks
Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition
Biometric Hand Recognition Using Neural Networks
Cooperative Bees Swarm for Solving the Maximum Weighted Satisfiability Problem
Connectionist Models of Neurons, Learning Processes and Artificial Intelligence, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
Spicules for Unsupervised Learning
Neural Implementation of the JADE-Algorithm
An N-parallel Multivalued Network: Applications to the Travelling Salesman Problem
Capacity and Parasitic Fixed Points Control in a Recursive Neural Network
A Model for the Development of Neurons Selective to Visual Stimulus Size
Motion Planning of a Non-holonomic Vehicle in a Real Environment by Reinforcement Learning*
Biometric Access Control System for AAL
Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression
An Intelligent Agents Reasoning Platform to Support Smart Home Telecare
Dentritic [Ca 2+ ] Dynamics in the Presence of Immobile Buffers and of Dyes
A Neural Network Approach for Symbolic Interpretation in Critical Care
TaSe Model for Long Term Time Series Forecasting
A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion
Neural Networks for Contingency Evaluation and Monitoring in Power Systems
Daily Electrical Power Curves: Classification and Forecasting Using a Kohonen Map
Application of an Eye Tracker Over Facility Layout Problem to Minimize User Fatigue
Stochastic-Based Implementation of Reservoir Computers
A Critical Review on Modelling Formalisms and Simulation Tools in Computational Biosystems
A Neural Paradigm for Controlling Autonomous Systems with Reflex Behaviour and Learning Capability
Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I
SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis
How to Reduce Classification Error in ERP-Based BCI: Maximum Relative Areas as a Feature for P300 Detection
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks
Self-regulating Neurons in the Sensorimotor Loop
A Domotic Control System Using Brain-Computer Interface (BCI)
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
Predicting Toxicity of Complex Mixtures by Artificial Neural Networks
SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification
Improving PV Power Prediction Based on GRU and Meteorological Factors
A New Method for Simplifying Algebraic Expressions in Genetic Programming Called Equivalent Decision Simplification
Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization
Schema Based Learning & Learning to Detour
Parallel Computation of an Adaptive Optimal RBF Network Predictor
Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part II
TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering
Iterative Graph Embedding and Clustering
Generative AI for Contextualizing Bronze Age Objects in Historical Scenes
Input Variable Selection in Hierarchical RBF Networks
Offline Substitution Machine Learning Model for the Prediction of Fitness of GA-ARM
Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction
Making Standard SOM Invariant to the Initial Conditions
Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach
Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning
Improving Multi-adjoint Logic Programs by Unfolding Fuzzy Connective Definitions
Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems
A Genetic Algorithm for Controlling Elevator Group Systems
Dentritic Computation in the Brain
Wood Texture Analysis by Combining the Connected Elements Histogram and Artificial Neural Networks
Combining Reinforcement Learning and Differential Inverse Kinematics for Collision-Free Motion of Multilink Manipulators
A Hybrid Face Detector Based on an Asymmetrical Adaboost Cascade Detector and a Wavelet-Bayesian-Detector
Topological Maps for Robot's Navigation: A Conceptual Approach
Extending Drift Detection Methods to Identify When Exactly the Change Happened
Evolution of Cooperating ANNs Through Functional Phenotypic Affinity
Arbitrated Ensemble for Solar Radiation Forecasting
Exponential Stability for Delayed Octonion-Valued Recurrent Neural Networks
Matching Algorithm for Hangul Recognition Based on PDA
Graph-Based Representations in Pattern Recognition and Computational Intelligence
Kernel Methods Applied to Time Series Forecasting
Presenting a Real-Time Activity-Based Bidirectional Framework for Improving Social Connectedness
A Computational Model of Periodic-Pattern-Selective Cells
A Neural Adaptive Controller for a Turbofan Exhaust Nozzle
Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign
Analysis and Application of the STORE Neural Model in Recognizing Handwritten Symbols
MISTRAL: A Knowledge-Based System for Distance Education that Incorporates Neural Networks Techniques for Teaching Decisions
Stochastic Approximation Techniques and Circuits and Systems Associated Tools for Neural Network Optimization
Service-Oriented Device Integration for Ubiquitous Ambient Assisted Living Environments
A Preliminar Analysis of CO2RBFN in Imbalanced Problems
Bio-inspired Memory Generation by Recurrent Neural Networks
Sensory-motor Control Scheme Based on Kohonen Maps and AVITE Model
Non-symmetric Support Vector Machines
A Neural Network Architecture for Trademark Image Retrieval
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel
Practical Application of a KDD Process to a Sulphuric Acid Plant
Local Pattern of Synchronization in Extraestriate Networks during Visual Attention
Modeling Visual Perception for Image Processing
Infraclinic Breast Carcinoma: Application of Neural Networks Techniques for the Indication of Radioguided Biopsias
A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources
Realization of Surjective Correspondence in Artificial Neural Network Trained by Fahlman and Lebiere's Learning Algorithm
Reactive Navigation Using Reinforment Learning in Situations of POMDPs
Development of Neural Network Structure with Biological Mechanisms
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis
Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-processing
Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity
Simulation of the Neuronal Regulator of the Lower Urinary Tract Using a Multiagent System
Differential Evolution Optimization of 3D Topological Active Volumes
Verifying Properties of Neural Networks
Application of Neural Networks for Automated X-Ray Image Inspection in Electronics Manufactoring
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning
A Neural Network Model for the Velocity Vector of an Object and its Consistency with Psychological Phenomena
A Fixed-Size Pruning Approach for Optimum-Path Forest
Methods for Artificial Evolution of Truly Cooperative Robots
Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data
Self-Consistent Neural Receptive Fields
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy
Dynamics of Quaternionic Hopfield Type Neural Networks
Improvement of Anomaly Intrusion Detection Performance by Indirect Relation for FTP Service
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning
OnMLM: An Online Formulation for the Minimal Learning Machine
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design
A Programmable Time Event Coded Circuit Block for Reconfigurable Neuromorphic Computing
Electric Power System's Stability Assessment and Online-Provision of Control Actions Using Self-Organizing Maps
Life-Long Learning: Consolidation of Novel Events into Dynamic Memory Representations
A 2-by-n Hybrid Cellular Automaton Implementation Using a Bio-Inspired FPGA
XMLP: A Feed-Forward Neural Network with Two-Dimensional Layers and Partial Connectivity
Border-Sensitive Learning in Kernelized Learning Vector Quantization
Lossy Image Compression Using a GHSOM
Using Gaussian Processes in Bayesian Robot Programming
Local Accumulation of Persistent Activity at Synaptic Level: Application to Motion Analysis
Consumer Profile Identification and Allocation
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection
New Artificial Metaplasticity MLP Results on Standard Data Base
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis
Practical Realization of a Radial Basis Function Network for Handwritten Digit Recognition
Efficient Exact Pattern-Matching in Proteomic Sequences
Some Reflections on the Relationships Between Neuroscience and Computation
From Iterative Threshold Decoding to a Low-Power High-Speed Analog VLSI Decoder Implementation
Processing Acyclic Data Structures Using Modified Self-Organizing Maps
Using Inferred Gestures from sEMG Signal to Teleoperate a Domestic Robot for the Disabled
Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces
A Novel Algorithm to Train Multilayer Hardlimit Neural Networks Based on a Mixed Integer Linear Program Model
Self Organizing Map (SOM) Approach for Classification of Mechanical Faults in Induction Motors
Extension of HUMANN for Dealing with Noise and with Classes of Different Shape and Size: A Parametric Study
Towards a Support for Autonomous Learning Process
Tight Bounds on the Size of Neural Networks for Classification Problems
A Detection System for Vertical Slot Fishways Using Laser Technology and Computer Vision Techniques
Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes
The UVa-Neuromuscular Training System Platform
A Model Based Approach to the Performance Analysis of Multi-Layer Networks Realised in Linear Systolic Arrays
Seeing is Believing: Depictive Neuromodeling of Visual Awareness
Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks
Evenet 2000: Designing and Training Arbitrary Neural Networks in Java
Robust Association of Pathological Respiratory Events in SAHS Patients: A Step towards Mining Polysomnograms
Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments
Event-Based Regression with Spiking Networks
Design of a Snort-Based Hybrid Intrusion Detection System
GA Techniques Applied to Contour Search in Images of Bovine Livestock
Dynamics of Neural Networks - Some Qualitative Properties
A VLSI Current Mode Synapse Chip
Adaptive Hybrid Speech Coding with a MLP/LPC Structure
Optimization of Convolutional Neural Network Ensemble Classifiers by Genetic Algorithms
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware
Schema-Based Learning: Biologically Inspired Principles of Dynamic Organization
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
Equilibrium-Driven Adaptive Behavior Design
Evaluation of Supervised vs. Non Supervised Databases for Hand Geometry Verification
Semantic Fake News Detection: A Machine Learning Perspective
Hybrid Dynamic Learning Systems for Regression
A Unified Model for the Simulation of Artificial and Biology-Oriented Neural Networks
A Genetic Algorithm for Assembly Sequence Planning
An Evolutionary Environment for Wind Turbine Blade Design
Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments
Reflections on Neural Networks as Repetitive Structures with Several Equilibria and Stable Behavior
Neural Bayesian Classifier
Stochastic Networks with Subthreshold Oscillations and Spiking Activity
Designing a Control System for an Autonomous Robot Using an Evolutionary Algorithm
Numerosity Representation in InfoGAN: An Empirical Study
Ensemble of Attractor Networks for 2D Gesture Retrieval
A Study of the Correlation of Metafeatures Used for Metalearning
Replacing Goniophotometer with Camera and U-Net with Hypercolumn Rescale Block
Test Infrastructure for Address-Event-Representation Communications
Motor Sequence Processing with an Artificial Learning System
MLP Modular Versus YPREL Classifiers
McCulloch's Neurons Revisited
Implementation of a Neural Network for the Recognition of Emotional States by Social Robots, Using 'OhBot'
Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera
Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003, Maó, Menorca, Spain, June 3-6, 2003 Proceedings, Part I
Using Contextual Information to Selectively Adjust Preprocessing Parameters
A Randomized Hypercolumn Model and Gesture Recognition
Topology-Preserving Elastic Nets
Spatial-Temporal Analysis for Noise Reduction in NDVI Time Series
Photovoltaic Energy Prediction Using Machine Learning Techniques
An FPGA-Based Adaptive Fuzzy Coprocessor
An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
Short-Term Peak Load Forecasting: Statistical Methods Versus Artificial Neural Networks
Text Categorisation Using a Partial-Matching Strategy
Lower Bounds of Computational Power of a Synaptic Calculus
Using ANN in Financial Markets Micro-Structure Analysis
Optimizing a Neural Network Architecture with an Adaptive Parameter Genetic Algorithm
Smart Hardware Implementation of Spiking Neural Networks
Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks
Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction
A Process Model for Group Decision Making with Quality Evaluation
Facial Image Augmentation from Sparse Line Features Using Small Training Data
How to Select the Inputs for a Multilayer Feedforward Network by Using the Training Set
Agrega: A Distributed Repository Network of Standardised Learning Objects
Development of On-Off and Off-On Receptive Fields Using a Semistochastic Model
Association with Multi-dendritic Radial Basis Units
Applying Text Mining to Search for Protein Patterns
Waste Classification System Using Image Processing and Convolutional Neural Networks
Connections Between ICA and Sparse Coding Revisited
Identifying Gene Ontology Areas for Automated Enrichment
Evolutionary Multi-model Estimators for ARMA System Modeling and Time Series Prediction
Real Adaboost Ensembles with Emphasized Subsampling
RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum
Robust Tracking for Augmented Reality
Exploring Macroevolutionary Algorithms: Some Extensions and Improvements
Application of Independent Component Analysis for Evaluation of Ashlar Masonry Walls
Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance
A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled
Supervised ART-I: A New Neural Network Architecture for Learning and Classifying Multi-valued Input Patterns
A Recurrent Neural Network Model for the p-hub Problem
Deep Learning to Analyze RNA-Seq Gene Expression Data
Multi-modeling: A Different Way to Design Intelligent Predictors
Using Neural Networks in a Parallel Adaptative Algorithm for the System Identification Optimization
Solving SAT in Linear Time with a Neural-Like Membrane System
GPU Implementation of a Bio-inspired Vision Model
Improving Training in the Vicinity of Temporary Minima
A Robot Controlled by Blinking for Ambient Assisted Living
Image Understanding Analysis at the Knowledge Level as a Design Task
Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification
On the Computational Power of Limited Precision Weights Neutral Networks in Classification Problems: How to Calculate the Weight Range so that a Solution Will Exist
Detector of Small Objects with Application to the License Plate Symbols
A Computational Tool to Test Neuromorphic Encoding Schemes for Visual Neuroprostheses
Deep Learning for the Analysis of Solar Radiation Prediction with Different Time Horizons and Data Acquisition Frequencies
Improved Particle Swarm Optimization Method in Inverse Design Problems
An EA Multi-model Selection for SVM Multiclass Schemes
Computer Access and Alternative and Augmentative Communication (AAC) for People with Disabilities: a Multi-Modal Hardware and Software Solution
A Dictionary-Driven SSVEP Speller with a Modified Graphical User Interface
Variable Selection by Recurrent Neural Networks. Application in Structure Activity Relationship Study of Cephalosporins
A Snapshot Algorithm for Mobile Ad Hoc Networks
Individual Evolutionary Algorithm and its Application to Learning of Nearest Neighbor Based MLP
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
An ANFIS-Based Fault Classification Approach in Double-Circuit Transmission Line Using Current Samples
Foetal Age and Weight Determination Using a Lateral Interaction Inspired Net
Interpretation of Optical Flow Through Complex Neural Network
VLSI Fully Connected Neural Networks for the Implementation of other Topologies
Face Recognition System Based on PCA and Feedforward Neural Networks
Automatic Scaling using Gamma Learning for Feedforward Neural Networks
A VLSI System for Neural Bayesian and LVQ Classification
COBRA: An Evolved Online Tool for Mammography Interpretation
Defects Detection in Continuous Manufacturing by Means of Convolutional Neural Networks
Existence and Synthesis of Complex Hopfield Type Associative Memories
A SIS Epidemiological Model Based on Cellular Automata on Graphs
An Online Tool for Unfolding Symbolic Fuzzy Logic Programs
Feed Forward Neural Network Entities
Visuomotor Control using an Artificial Neural Network
Optimal Modular Feedforward Neural Nets Based on Functional Network Architectures
Enhanced Video-Based Eye Status Detection in Term Infants
A Proximity-Based Method for Discovery of Generalized Knowledge and Its Incorporation to the Bousi~Prolog System
Optimal Spherical Separability: Artificial Neural Networks
Method for Automatic Karyotyping of Human Chromosomes Based on the Visual Attention System
Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model
A Novel Grouping Heuristic Algorithm for the Switch Location Problem Based on a Hybrid Dual Harmony Search Technique
Recurrent Neural Networks for Identification of Friction
6DoF Egomotion Computing Using 3D GNG-Based Reconstruction
Genetic Search of Block-Based Structures of Dynamical Process Models
Interpretability of Recurrent Neural Networks Trained on Regular Languages
Training in Realistic Virtual Environments: Impact on User Performance in a Motor Imagery-Based Brain-Computer Interface
Hierarchical Neuro-Fuzzy Systems
Bankruptcy Prediction with Artificial Neural Networks
Structure Adaption in Artificial Neural Networks through Adaptive Clustering and through Growth in State Space
Curvilinear Component Analysis for High-Dimensional Data Representation: I. Theoretical Aspects and Practical Use in the Presence of Noise
Weighting and Feature Selection on Gene-Expression Data by the Use of Genetic Algorithms
An Architecture for Ambient Assisted Living and Health Environments
A Neural State Machine for Iconic Language Representation
New Perspectives in Auditory Coding: Bases for a New Cochlear Behavioural Model
Network Anomaly Detection with Bayesian Self-Organizing Maps
Clustering of Signals Using Incomplete Independent Component Analysis
A Static Preprocess for Improving Fuzzy Thresholded Tabulation
Logic Programming and Artificial Neural Networks in Breast Cancer Detection
Toward Machine's Artificial Aesthetic Perception: Could Machines Appreciate the Beauty?
Choosing among Algorithms to Improve Accuracy
An Asynchronous 4-to-4 AER Mapper
An Unfolding-Based Preprocess for Reinforcing Thresholds in Fuzzy Tabulation
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme
A Particle-Swarm-Optimized Fuzzy Classifier Used for Investment Decision Support
On Application Incentive and Constraints for Neural Network Hardware Development
Hardware and Software Influence on EAs Power Consumption
SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing
Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements
Development of a Workflow for Protein Sequence Analysis Based on the Taverna Workbench Software
Gray-Level Object Segmentation with a Network of FitzHugh-Nagumo Oscillators
Dynamic Clustering of Time Series with Echo State Networks
Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping
Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns
Genetic Programming to Improvement FIB Model - Bond and Anchorage of Reinforcing Steel in Structural Concrete
Learning the Visuomotor Coordination of a Mobile Robot by Using the Invertible Kohonen Map
A Model for Centering Visual Stimuli Through Adaptive Value Learning
A Computer Virus Spread Model Based on Cellular Automata on Graphs
Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection
Searching the Sky for Neural Networks
Toroidal Neural Network Processor: Multiple Learning Algorithm Support
A Real Application Example of a Control Structure Selection by Means of a Multiobjective Genetic Algorithm
Design Improvements for Proportional Control of Autonomous Wheelchairs Via 3DOF Orientation Tracker
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses
Towards a Platform for FPGA Implementation of the MLP Based Back Propagation Algorithm
Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis
Data Mining in Complex Diseases Using Evolutionary Computation
Online vs. Offline ANOVA Use on Evolutionary Algorithms
Text-to-Text Machine Translation Using the RECONTRA Connectionist Model
NSP: A Neuro-symbolic Processor
A Dictionary-Based Approach to Time Series Ordinal Classification
Always Trying to Write an Equation for the Brain
On Second Language Tutoring through Womb Grammars