yusuke1997/dblp-id-title huggingface dataset:
Cooperative Co-evolution of Multilayer Perceptrons
ATHENA: Smart Process Management for Daily Activity Planning for Cognitive Impairment
Adaptive Load Frequency Control with Dynamic Fuzzy Networks in Power Systems
Modelling the Circuitry of the Cuneate Nucleus
Recurrent Neural Networks for Speech Recognition
A FPGA Spike-Based Robot Controlled with Neuro-inspired VITE
Context-Awareness as an Enhancement of Brain-Computer Interfaces
Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing Problems
The Neural Net of Hydra and the Modulation of Its Periodic Activity
A Competitive Neural Network Based on Dipoles
beta-Reduction and Antecedent-Anaphora Relations in the Language of Acyclic Recursion
A New Online Class-Weighting Approach with Deep Neural Networks for Image Segmentation of Highly Unbalanced Glioblastoma Tumors
Distance between Kohonen Classes Visualization Tool to Use SOM in Data Set Analysis and Representation
Non Parametric Coding of Speech by Means of a MLP with Hints
Self-Organizing Maps versus Growing Neural Gas in a Robotic Application
Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification Based on Hyperspectral Images
Identification and Prediction of Non-Linear Models with Recurrent Neural Network
MORENA: Empty Images Detection Based on Unsupervised Reconstruction Error Analysis
A Digital Neural Model of Visual Deficits in Parkinson's Disease
Evolution of Structure and Learning - A GP approach
Medical Images Analysis: An Application of Artificial Neural Networks in the Diagnosis of Human Tissues
Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows
Methodological Framework for the Creation of Digital Twins for Photovoltaic Power Plants
Neuronal Circuitry in the Medial Cerebral Cortex of Lizards
Artificial Neuroconsciousness an Update
A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems
Gender Influence on cVEP-Based BCI Performance
Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study
Allometry in the Justo Gonzalo's Model of the Sensorial Cortex
DeepTrace: A Generic Framework for Time Series Forecasting
Nonlinear Time Series Modeling by Competitive Segmentation of State Space
Structure of Lateral Inhibition in an Olfactory Bulb Model
Connectionists and Statisticans, Friends or Foes?
Optimal Range of Input Resistance in the Oscillatory Behavior of the Pancreatic beta-Cell
Towards a Bio-computational Model of Natural Language Learning
Combination of Self-Organizing Maps and Multilayer Perceptrons for Speaker Independent Isolated Word Recognition
A New Model of Synthetic Genetic Oscillator Based on Trans-Acting Repressor Ribozyme
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex
Identification of Chemical Entities in Patent Documents
A Biophysical Model of Intestinal Motility: Application in Pharmacological Studies
Non-linear Least Mean Squares Prediction Based on Non-Gaussian Mixtures
Resolution of Joint Maintenance/Production Scheduling by Sequential and Integrated Strategies
Assessing Bias in the Evaluation of Blood Glucose Prediction Models
Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition
Learning Transformed Prototypes (LTP) - A Statistical Pattern Classification Technique of Neural Networks
Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process
Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems
QBSO-FS: A Reinforcement Learning Based Bee Swarm Optimization Metaheuristic for Feature Selection
A Connectionist Approach to the Correspondence Problem in Computer Vision
Stochastic Neuronal Models with Realistic Synaptic Inputs and Oscillatory Inputs
Neural Networks Applied to Fingerprint Recognition
Estimation of Multidimensional Regression Model with Multilayer Perceptrons
Asynchronous Brain-Computer Interface to Navigate in Virtual Environments Using One Motor Imagery
A Case Study on the Use of Genetic Algorithms to Generate Test Cases for Temporal Systems
Estimating Exact Form of Generalisation Errors
Neural Net's Theory - The Specifications of a Computational Model of Memory and Information Processing in Decision-Making
Fast Convolutional Analysis of Task-Based fMRI Data for ADHD Detection
General Purpose Agent-Based Parallel Computing
Low-Cost Gesture-Based Interaction for Intelligent Environments
Digital Connectionist Hardware: Current Problems and Future Challenges
Rejection of Incorrect Answers from a Neural Net Classifier
Animal Vibrissae: Modeling and Adaptive Control of Bio-inspired Sensors
A Supervisory Technique to Apply Neural Networks in Control
Interactive Relevance Visual Learning for Image Retrieval
Stock Prices and Volume in an Artificial Adaptive Stock Market
Evaluation of the CNAPS Neuro-Computer for the Simulation of MLPs with Receptive Fields
On-line Performance Enhancement of a Behavioral Neural Network Controller
Driver's Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
Flexible Layered Multicasting Method for Multipoint Video Conference in Heterogeneous Access Environment
Separation of Speech Signals for Nonlinear Mixtures
SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network
The Role of Forgetting in Efficient Learning Strategies for Self-Organising Discriminator-Based Systems
Bayesian Joint Estimation of CN and LOH Aberrations
VIDEM: VIDeo Effectiveness and Memorability Dataset
Phoneme Recognition by Means of Predictive Neural Networks
The BP-lambdaL1 Algorithm: Non-Chaotic and Accelerated Learning in a MLP Network
Facial Expression Interpretation in ASD Using Deep Learning
Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers
A Method to Compare MALDI-TOF MS PMF Spectra and Its Application in Phyloproteomics
Face Recognition with Facial Mask Application and Neural Networks
Application of Artificial Neural Network Model for Cost Optimization in a Single-Source, Multi-destination System with Non-deterministic Inputs
Recognition of Fractal Images Using a Neural Network
A Binary Bees Algorithm for P300-Based Brain-Computer Interfaces Channel Selection
Evaluating HBM to Accelerate Neural Networks on FPGAs Demonstrated Using Binary Neural Associative Memories
Bayesian Modelling of Neural Networks
Classification of the Onset of Respiratory Difficulties in Ventilation Assisted Neonates
Cascade Error Projection: A Learning Algorithm for Hardware Implementation
A New QRS Detector Based on Neural Network
Regenerative-Type Neural Interface
Forecasting Financial Time Series with Multiple Kernel Learning
Conceptual Spaces as Voltage Maps
Restriction Enzyme Computation
Deep Learning Recommendation System for Stock Market Investments
Adaptation and Other Dynamic Effects on Neural Signal Transfer
Context-Awareness at the Service of Sensor Fusion Systems: Inverting the Usual Scheme
Easing the Mobility of Disabled People in Supermarkets Using a Distributed Solution
Pattern Recognition Using Neural Based on Multi-valued Neurons
Protecting DCT Templates for a Face Verification System by Means of Pseudo-random Permutations
Conformance Relations for Fuzzy Automata
Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces
Cooperative Ant Colonies for Solving the Maximum Weighted Satisfiability Problem
Finite State Automata and Connectionist Machines: A Survey
The Knowledge Engineering Approach to Autonomous Robotics
Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks
A Cascade Network Algorithm Employing Progressive RPROP
Neural Network Model of Striatal Complex
Evaluation of Multi-Agent System Communication in INGENIAS
Intrinsic Dimensionality Maps with the PCASOM
Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off
Analysis of Industrial Economics by means of Neural Nets
Richness of Deep Echo State Network Dynamics
Classification of Disturbances in Electrical Signals Using Neural Networks
A Back Propagation Neural Network for Localizing Abnormal Cortical Regions in FDG PET Images in Epileptic Children
Two-Compartment Stochastic Model of a Neuron with Periodic Input
SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering
Learning Symbolic Rules with a Reactive with Tags Classifier System in Robot Navigation
Finding the Texture Features Characterizing the Most Homogeneous Texture Segment in the Image
Computational Intelligence Approach for Liquid-Gas Flow Regime Classification Based on Frequency Domain Analysis of Signals from Scintillation Detectors
Assessing Students' Teamwork Performance by Means of Fuzzy Logic
Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques
Image Processing Algorithms for AAL Services
Neurobiological Inspiration for the Architecture and Functioning of Cooperating Neural Networks
Automatic Generation of C ++ Code for Neural Network Simulation
On the Three Neural Networks Using Sigmoidal Functions
Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring
A Neural Network Model for Plasticity in Adult Striate Cortex
Manifold Constrained Finite Gaussian Mixtures
New Directions in Connectionist Language Modeling
On the Performance of the μ -GA Extreme Learning Machines in Regression Problems
Informing Agent-Based Models of Social Innovation Uptake
From Embryonics to POEtic Machines
Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type
Insights on the Use of Convolutional Neural Networks for Document Image Binarization
Adaptation of Deep Convolutional Neural Networks for Cancer Grading from Histopathological Images
A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification
Biologically Inspired Path Execution Using SURF Flow in Robot Navigation
Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks
Data Driven Multiple Neural Network Models Generator Based on a Tree-like Scheduler
Image/Video Compression with Artificial Neural Networks
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset
EEG-based Cognitive Task Classification with ICA and Neural Networks
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes
Language Supported Storage and Reuse of Persistent Neural Network Objects
A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier
A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot
Towards the Integration of a Bioprofile in Ocular Melanoma
Go for Parallel Neural Networks
Application of ART2-A as a Pseudo-supervised Paradigm to Nuclear Reactor Diagnosis
Software Pattern EEG Recognition After a Wavelet Transform by a Neural Network
Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification
Group Behavior Recognition in Context-Aware Systems
Virtual Labs for Neural Networks E-courses
Comparing Optimization Methods, in Continuous Space, for Modelling with a Diffusion Process
An Invariant Representation Mechanism After Presynaptic Inhibition
Optical Devices Diagnosis by Neural Classifier Exploiting Invariant Data Representation and Dimensionality Reduction Ability
Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation
Numerosity and the Consolidation of Episodic Memory
Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control
Application of the Fuzzy Kohonen Clustering Network to Biological Macromolecules Images Classification
Diffusion Methods for Wind Power Ramp Detection
The Command Control of a Two-Degree-of-Freedom Platform by Hand Gesture Moment Invariants
Application of the LVQ Neural Method to a Stellar Catalogue
Computer-Aided Diagnosis in Wound Images with Neural Networks
Emerging Behaviors by Learning Joint Coordination in Articulated Mobile Robots
Multi-label Testing for CO 2 RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Towards Compositional Verification in MEDISTAM-RT Methodological Framework
A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures
Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks
URANO: An Object-Oriented Artificial Neural Network Simulation Tool
Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications
An Experimental Design Advisor and Neural Network Analysis Package
A Scalable Binary Neural Associative Memory on FPGA
Are There Universal Principles of Brain Computation?
An Approach to Predicting Social Events via Dailies Tracking
Conscious and Intentional Access to Unconscious Decision-Making Module in Ambiguous Visual Perception
On the Possibilities of the Limited Precision Weights Neural Networks in Classification Problems
Effects of Different Connectivity Patterns in a Model of Cortical Circuits
Confidence-Based Reasoning with Local Temporal Formal Contexts
Using Kolmogorov Inspired Gates for Low Power Nanoelectronics
Image Restoration Using Neural Networks
Skin Disease Classification Using Machine Learning Techniques
Automatic Generation of Digital Filters by NN Based Learning: An Application on Paper Pulp Inspection
Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View
Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System
Accessing Tele-Services Using a Hybrid BCI Approach
Randomness in Heuristics: An Experimental Investigation for the Maximum Satisfiability Problem
Efficient Simulation of Spatio-temporal Dynamics in Ultrasonic Resonators
Collective Behaviour of a Chain of Hopfield Subnetworks Interconnected Unidirectionally
Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution
Simulation of Stochastic Regular Grammars through Simple Recurrent Networks
Removal of Impulse Noise in Images by Means of the Use of Support Vector Machines
A Non-convergent On-Line Training Algorithm for Neural Networks
Solving the Inverse Kinematics in Humanoid Robots: A Neural Approach
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks
Some Examples for Solving Clinical Problems Using Neural Networks
Edge Detection in Noisy Images Using the Support Vector Machines
A New Type of Unsupervised Growing Neural Network for Biological Sequence Classification That Adopts the Topology of a Phylogenetic Tree
Interactive Animation of Agent Formation Based on Hopfield Neural Networks
Hierarchy Results on Stateless Multicounter 5′ → 3′ Watson-Crick Automata
Anomaly Detection for Bivariate Signals
Separation of Sources Based on the Partitioning of the Space of Observations
Independent Component Analysis for Cloud Screening of Meteosat Images
Regularized One-Layer Neural Networks for Distributed and Incremental Environments
Breast Cancer Microarray and RNASeq Data Integration Applied to Classification
A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data
MDE for Device Driver Development
Using Scenarios to Draft the Support of Intelligent Tools for Frail Elders in the SHARE-it Approach
Feature Selection for Multi-label Classification Problems
Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment
A Psychophysical Approach to the Mechanism of Human Stereovision
On the Application of a Recurrent Neural Network for Rainfall Quantification Based on the Received Signal from Microwave Links
Dynamic Analysis of Networks of Neural Oscillators
One Dimensional Fourier Transform on Deep Learning for Industrial Welding Quality Control
Generalization Error and Training Error at Singularities of Multilayer Perceptrons
Comparison of Neural Networks and Conventional Techniques for Automatic Recognition of a Multilingual Speech Database
The Segmentation of Different Skin Colors Using the Combination of Graph Cuts and Probability Neural Network
Linguistic Properties Based on American Sign Language Recognition with Artificial Neural Networks Using a Sensory Glove and Motion Tracker
Temporal EigenPAC for Dyslexia Diagnosis
Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights
IAF Neuron Implementation for Mixed-Signal PCNN Hardware
Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps
Cooperative Computing and Neural Networks
Using Artificial Neural Networks to Aid Decision Making Processes
A Statistical Model of Pollution-Caused Pulmonary Crises
Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks
Using Genetic Algorithms to Generate Test Suites for FSMs
The Problem of Overlearning in High-Order ICA Approaches: Analysis and Solutions
Towards Applying River Formation Dynamics in Continuous Optimization Problems
Recognition Model with Extension Fields
Ambient Information Systems for Supporting Elder's Independent Living at Home
Using Boolean- and Self-Enforcing-Networks for Mathematical E-Tutorial Systems
Simulated Evolution of Modular Networks
Development of a Camera-Based Portable Automatic Inspection System for Printed Labels Using Neural Networks
Mobile Robot Path Planning Using Genetic Algorithms
INGENIAS Development Process Assisted with Chains of Transformations
A Mixed Parallel-Sequential SHNN for Large Networks
Energy-Based Perceptual Segmentation Using an Irregular Pyramid
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
Dynamic Neural Units for Nonlinear Dynamic Systems Identification
Multi-mother Wavelet Neural Network Training Using Genetic Algorithm-Based Approach to Optimize and Improves the Robustness of Gradient-Descent Algorithms: 3D Mesh Deformation Application
Indoor Navigation and Product Recognition for Blind People Assisted Shopping
STANN - Synthesis Templates for Artificial Neural Network Inference and Training
Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem
Do Plants Optimize ?
Multi Objective Optimization Algorithm Based on Neural Networks Inversion
A Biological Front-End Processing for Speech Recognition
Adaptive Models in Neural Networks
A Neural Network Approach to Quality Control Charts
A System for Facilitating and Engancing Web Search
Impact of Genetic Algorithms Operators on Association Rules Extraction
Synthesis of Adaptive Memories with Neural Networks
NSL-Neural Simulation Language
Hardware Implementations of Artificial Neural Networks
On the Road to an Abstract Architecture for Open Virtual Organizations
Dynamic Path Planning with Spiking Neural Networks
Architectures for Self-Learning Neural Networks Modules
Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel
An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations
Using Nonlinear Dimensionality Reduction to Visualize Classifiers
Analysis of the Univariate Marginal Distribution Algorithm Modeled by Markov Chains
Neural Approaches to Robot Control: Four Representative Applications
Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance
A CNN Model for Grey Scale Image Processing
Learning Image Segmentation from Few Annotations - A REPTILE Application
Constraining Type II Error: Building Intentionally Biased Classifiers
Multi-view Cross Contrastive Learning for Multimodal Knowledge Graph Recommendation
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis
Classification of Specular Object Based on Statistical Learning Theory
An All-Optical Propagation Multilayer Neural Network
Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks
Improving Back-Propagation: Epsilon-Back-Propagation
Intra- and All-Day PV Power Forecasting Using Expansion PDE Models Composed of the L-Transform Components in Nodes of Step-by-Step Evolved Polynomial Binary-Nets
Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification
Design and Codesign of Neuro-Fuzzy Hardware
Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar
Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks
Optimal Genetic Representation of Complete Strictly-Layered Feedforward Neural Networks
Analyzing Boltzmann Machine Parameters for Fast Convergence
Constraint Exploration of Convolutional Network Architectures with Neuroevolution
A Novel Unsupervised Strategy to Separate Convolutive Mixtures in the Frequency Domain
Oligonucleotide Microarray Probe Correction by FixedPoint ICA Algorithm
Implementation and Evaluation of a Relevance Feedback Device Based on Neural Networks
Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems
On the Generalization of the Uninorm Morphological Gradient
An Efficient Algorithm for Reasoning about Fuzzy Functional Dependencies
Global Exponential Stability Analysis in Cellular Neural Networks with Time-Varying Coefficients and Delays
Feed-Forward Neural Networks for Bioreactor Control
A Short Analysis of Hybrid Frameworks Based on Self-organizing Maps to Improve Traditional Systems
User Daily Activity Classification from Accelerometry Using Feature Selection and SVM
GPU Computation in Bioinspired Algorithms: A Review
Neural Adaptive Force Control for Compliant Robots
Neural Competitive Structures for Segmentation Based on Motion Features
Real-Time Monitoring of Biomedical Signals to Improve Road Safety
Flexible Operating Environment for Matrix Based Neurocomputers
Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks
Unsupervised Clustering at the Service of Automatic Anomaly Detection in Industry 4.0
Embodying Cognitive Abilities: Categorization
Fast Optoelectronic Neural Network for Vision Applications
An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning
Forecasting Non-stationary Time Series: A Comparison of Deep and Shallow Neural Network Architectures
A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications
Bioinspired Reinforcement Learning Control for a Biomimetic Artificial Muscle Pair
Meeting Summarization, A Challenge for Deep Learning
Design of Fully and Partially Connected Random Neural Networks for Pattern Completion
Bayesian Optimization of a Hybrid Prediction System for Optimal Wave Energy Estimation Problems
Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model
Enhanced Convolutional Neural Network for Age Estimation
Experiments and Reference Models in Training Neural Networks for Short-Term Wind Power Forecasting in Electricity Markets
System Approach to AAL Applications: A Case Study
Intelligent Presentation Skills Trainer Analyses Body Movement
Neural Circuitry and Plasticity in the Adult Vertebrate Inner Retina
Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach
General Transient Length Upper Bound for Recurrent Neural Networks