yusuke1997/dblp-id-title huggingface dataset:
Automatic Change of Representation in Genetic Algorithms
A Study into the Improvement of Binary Hopfield Networks for Map Coloring
An Artificial Neuron with Quantum Mechanical Properties
The Noise Identification Method Based on Divergence Analysis in Ensemble Methods Context
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction
A New Feature Selection Method for Improving the Precision of Diagnosing Abnormal Protein Sequences by Support Vector Machine and Vectorization Method
Connectionnist Algorithm for a 3D Dense Image Building from Stereoscopy
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
New Efficient Techniques for Dynamic Detection of Likely Invariants
A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction
The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing
Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis
Unsupervised Learning of Temporal Sequences by Neural Networks
The Single Chromosome's Guide to Dating
GA-Based Iris/Sclera Boundary Detection for Biometric Iris Identification
Why Automatic Understanding?
Systems identification with GMDH neural networks: a multi-dimensional case
Identification and Adaptive Control of Nonlinear Processes Using Combined Neural Networks and Genetic Algorithms
A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms
Impact of Learning on the Structural Properties of Neural Networks
The Evolution of a Feedforward Neural Network trained under Backpropagation
Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines
Clustering of Leaf-Labelled Trees
Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations
A Local-Information-Based Blind Image Restoration Algorithm Using a MLP
A Comparative Study of Neural Network Optimization Techniques
Modeling Complex Symbolic Sequences with Neural Based Systems
Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs
Hierarchical Rules for a Hierarchical Classifier
Keystroke Dynamics Based User Authentication Using Neural Networks
Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia
A Hierarchical Classifier with Growing Neural Gas Clustering
Influence of the Learning Gain on the Dynamics of Oja's Neural Network
Population Learning Algorithm for Resource-Constrained Project Scheduling
A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems
Time-Dependent Performance Comparison of Evolutionary Algorithms
Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing
A Study on Iris Feature Watermarking on Face Data
Cone-Realizations of Discrete-Time Systems with Delays
A Sensorless Initial Rotor Position Sensing Using Neural Network for Direct Torque Controlled Permanent Magnet Synchronous Motor Drive
A Simple and Compact Algorithm for the RMQ and Its Application to the Longest Common Repeat Problem
Mining Data from a Metallurgical Process by a Novel Neural Network Pruning Method
Global Stability of Neural Networks with Time-Varying Delays
Convergence of Algorithm and the Schema Theorem in Genetic Algorithms
Digital Model of Series Resonant Converter with Piezoelectric Ceramic Transducers and Fuzzy Logic Control
Industrial Kiln Multivariable Control: MNN and RBFNN Approaches
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
Nonlinear Predictive Control Based on Multivariable Neural Wiener Models
Direct Inverse Control of Sensors by Neural Networks for Static/Low Frequency Applications
Adaptive and Natural Computing Algorithms - 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part II
Parallel Boltzmann Machine Topologies for Simulated Annealing Realisation of Combinatorial Problems
A Hybrid Simulated-Annealing Algorithm for Two-Dimensional Strip Packing Problem
Optimising Decision Classifications Using Genetic Algorithms
Assessment of the Accuracy of the Process of Ceramics Grinding with the Use of Fuzzy Interference
Bias Estimation for Neural Network Predictions
A Novel Architecture for the Classification and Visualization of Sequential Data
Multiobjective Genetic Programming for Nonlinear System Identification
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
Classifying Chemical Compounds Using Contrast and Common Patterns
Design of 2-D IIR Filters Using Two Error Criteria with Genetic Algorithm
A Genetic Algorithm with Dynamic Population Size
From the Chromosome to the Neural Network
Adaptive Modularity and Time-Series Prediction
A New Method of EEG Classification for BCI with Feature Extraction Based on Higher Order Statistics of Wavelet Components and Selection with Genetic Algorithms
Text Representation in Multi-label Classification: Two New Input Representations
Optimization of Fuzzy Model Driven to IG and HFC-Based GAs
Performance-Based Bayesian Learning for Resource Collaboration Optimization in Manufacturing Grid
A Context-Driven Bayesian Classification Method for Eye Location
Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent?
Multi-objective Optimal Public Investment: An Extended Model and Genetic Algorithm-Based Case Study
Hybrid Models for Forecasting Air Pollution Episodes
Machine Tuning of Stable Analytical Fuzzy Predictive Controllers
Synaptic Scaling Balances Learning in a Spiking Model of Neocortex
Automated Design of Combinational Logic Circuits by Genetic Algorithms
Walsh Functions and Predicting Problem Complexity
Handling Incomplete Data Using Evolution of Imputation Methods
Exploring the Relationship between Neural Network Topology and Optimal Training Set by Means of Genetic Algorithms
Incorporating Neighbourhood Search Operators Into Genetic Algorithms
Modification of Holland's Reproductive Plan for Diploid Populations
Improving Business Failure Predication Using Rough Sets with Non-financial Variables
The Right Delay - Detecting Specific Spike Patterns with STDP and Axonal Conduction Delays
On Document Classification with Self-Organising Maps
Improved Bacterial Foraging Algorithms and Their Applications to Job Shop Scheduling Problems
Investigations into the Use of Wavelet Transformations as Input into Neural Networks for Condition Monitoring
Kohonen Neural Networks for Machine and Process Condition Monitoring
Comparison of Identification Techniques for Nonlinear Systems
Optimal Control of an Inverted Pendulum by Genetic Programming: Practical Aspects
Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks
Visualizing Multidimensional Data through Multilayer Perceptron Maps
Some Comparisons Between Linear Approximation and Approximation by Neural Networks
A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction
Using Neural Networks for Generic Strategic Planning
The Design of Beta Basis Function Neural Network Using Hierarchical Genetic Algorithm
From Prime Implicants to Modular Feedforward Networks
Reflective Symmetry Detection Based on Parallel Projection
Training Set Selection in Neural Network Applications
Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems
Enhancing Connectionist Expert Systems by IAC Models through Real Cases
Virtual Table Tennis and the Design of Neural Network Players
Grid-Oriented Scatter Search Algorithm
On input discretisation processes for tapped delay neural architecture
Versatile Graph Planarisation via an Artificial Neural Network
Application of neural networks for classification of temperature distribution patterns
Sum-of-Squares Based Cluster Validity Index and Significance Analysis
A Genetic Clustering Method for the Multi-Depot Vehicle Routing Problem
Using Smoothing Splines in Time Series Prediction with Neural Networks
Chaotic Neurodynamics in the Frequency Assignment Problem
Similarity of Transcription Profiles for Genes in Gene Sets
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
Immune Algorithm Versus Differential Evolution: A Comparative Case Study Using High Dimensional Function Optimization
Power Transients Characterization and Classification Using Higher-Order Cumulants and Competitive Layers
A Genetic Algorithm for Minimization of Fixed Polarity Reed-Muller Expressions
Neural Network Control for Visual Guidance System of Mobile Robot
A Genetic Algorithm for the Maximal Clique Problem
Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps
Handling Linguistic Values in Knowledge Acquisition
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks
Speech Enhancement System Based on Auditory System and Time-Delay Neural Network
Application of Genetic Algorithms in Sliding Mode Control Design
A General Method for Visualizing and Explaining Black-Box Regression Models
Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models
Typology of Boolean Functions Using Walsh Analysis
Distributed Genetic Algorithms with an Application to Portfolio Selection Problems
Self-Organising Maps in Document Classification: A Comparison with Six Machine Learning Methods
Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing
GA-RBF: A Self-Optimising RBF Network
Transposition: A Biological-Inspired Mechanism to Use with Genetic Algorithms
Improving Optimistic Exploration in Model-Free Reinforcement Learning
A Dynamic Resource Broker and Fuzzy Logic Based Scheduling Algorithm in Grid Environment
Recognition of Shipping Container Identifiers Using ART2-Based Quantization and a Refined RBF Network
Gene Selection for Cancer Classification through Ensemble of Methods
Functional Equivalence and Genetic Learning of RBF Networks
A Methodology for Developing Nonlinear Models by Feedforward Neural Networks
NNDT - A Neural Network Development Tool
Influence of Language Parameters Selection on the Coarticulation of the Phonemes for Prosody Training in TTS by Neural Networks
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks
Particle Swarm Optimization for the Multidimensional Knapsack Problem
Efficient Hold-Out for Subset of Regressors
Using Genetic Programming to Estimate Performance of Computational Intelligence Models
Predicting Conditional Probability Densities with the Gaussian Mixture - RVFL Network
Adaptive and Natural Computing Algorithms, 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013. Proceedings
Linear Support Vector Machines for Error Correction in Optical Data Transmission
Prediction of natural gas consumption with feed-forward and fuzzy neural networks
Improvements on the Ant-System: Introducing the MAX-MIN Ant System
Elevator group control using distributed genetic algorithm
Learning SCFGs from Corpora by a Genetic Algorithm
Applying Genetic Algorithms to Container Transhipment
Cooperative Coevolution in Inventory Control Optimisation
Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms
Some Enhancements to Orthonormal Approximation of 2D Functions
Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization
A Method to Classify Collaboration in CSCL Systems
Fuzzy Vector Bundles for Classification via Neural Networks
Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine
Postural Control of Two-Stage Inverted Pendulum Using Reinforcement Learning and Self-organizing Map
Interactve Evolutionary Algorithms in Design
A New Method for Defining Parameters to SETAR(2;k 1, k 2)-models
A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems
Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System
Spatio-Temporal Mask Learning: Application to Speech Recognition
Transit Time Estimation by Artificial Neural Networks
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning
Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining
A Novel and More Efficient Search Strategy of Quantum-Behaved Particle Swarm Optimization
QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm
Detection of Various Defects in TFT-LCD Polarizing Film
Constructing Stereotypes for an Adaptive e-Shop Using AIN-Based Clustering
Theoretical Bounds for Genetic Algorithms
Recognition of Patterns Without Feature Extraction by GRNN
Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian
Synapsing Variable Length Crossover: Biologically Inspired Crossover for Variable Length Genomes
Flexible User-Guidance in Multimedia CBT-Applications Using Artificial Neural Networks
A Schema Theorem-Type Result for Multidimensional Crossover
Genetic Design of Robust PID Controllers
Progressive Optimisation of Organised Colonies of Ants for Robot Navigation: An Inspiration from Nature
Supporting Diagnostics of Coronary Artery Disease with Neural Networks
Genetic Algorithms in Structure Identification for NARX Models
Evolutionary Heuristics for the Bin Packing Problem
Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation
A Path Finding Via VRML and VISION Overlay for Autonomous Robot
Neural Networks for Dynamical Crop Growth Model Reduction and Optimization
Interval arithmetic and genetic algorithms in global optimization
Heterogeneous Co-evolving Parasites
Applying Dynamic Fuzzy Model in Combination with Support Vector Machine to Explore Stock Market Dynamism
A New N-gram Feature Extraction-Selection Method for Malicious Code
NLRFLA: A Supervised Learning Algorithm for the Development of Non-Linear Receptive Fields
Kernel Networks with Fixed and Variable Widths
Application of a Genetic Algorithm to the Availability-Cost Optimization of a Transmission Network Topology
Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
Sensitiveness of Evolutionary Algorithms to the Random Number Generator
Detecting Small Features in SAR Images by an ANN
Dynamic Systems Modelling with Evolving Cellular Automata
β_SVM a new Support Vector Machine kernel
Application of Neural Network for Home Security System
Adaptive Genetic Algorithms for Multi-Point Path Finding in Artificial Potential Fields
On-line Learning of Object Representations
Lime Kiln Fault Detection and Diagnosis by Neural Networks
Evolving Sum and Composite Kernel Functions for Regularization Networks
Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem
Genetic Algorithms and the Timetabling Problem
Resolution of Cartographic Layout Problem by Means of Improved Genetic Algorithms
Reinforcement Learning in Fine Time Discretization
Neural Network Analysis of Hue Spectra from Natural Images
Modified Kohonen's Learning Laws for RBF Network
A New Mutation Operator for the Elitism-Based Compact Genetic Algorithm
A Framework for Derivative Free Algorithm Hybridization
Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering
NOMaD: Applying a Genetic Algorithm/Heuristic Hybrid Approach to Optical Network Topology Design
Comparison of Genetic and Other Unconstrained Optimization Methods
Using Artificial Neural Networks to Model Non-Linearity in a Complex System
An ant colony algorithm for multiple sequence alignment in bioinformatics
Neural Control of Nonlinear Non-Minimum Phase Dynamical Systems
Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation
A Clausal Genetic Representation and its Evolutionary Procedures for Satisfiability Problems
Neural Dynamic Model for Optimization of Complex Systems
Simulated Annealing Artificial Neural Networks for the Satisfiability (SAT) Problem
Manufacturing process quality control by means of a Fuzzy ART neural network algorithm
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, ICANNGA 1999, Portorož, Slovenia, 1999
Behaviour Learning by a Reward-Penalty Algorithm : From Gait Learning to Obstacle Avoidance by Neural Networks
Logarithmic Multiplier in Hardware Implementation of Neural Networks
Four Methods for Maintenance Scheduling
Performance of Genetic Algorithms in the Solution of Permutation Flowshop Problem
Emergence of Attention Focus in a Biologically-Based Bidirectionally-Connected Hierarchical Network
Shortest Common Superstring Problem with Discrete Neural Networks
A Speech Recognition System using an Auditory Model and TOM Neural Network
Effective Rule-Based Multi-label Classification with Learning Classifier Systems
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks
Generational and Steady-State Genetic Algorithms for Generator Maintenance Scheduling Problems
Improved Pseudo-Relaxation Learning Algorithm for Robust Bidirectional Associative Memory
Face Recognition Based on Near-Infrared Light Using Mobile Phone
DNA Based Evolutionary Approach for Microprocessor Design Automation
Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps
Evolving Neural Network Structures: An Evaluation of Encoding Techniques
Development of Fuzzy Learning Vector Quantization Neural Network for Artificial Odor Discrimination System
A Genetic Algorithm for Learning Weights in a Similarity Function
Multiple Sequence Alignment with Evolutionary-Progressive Method
Robust Stability Analysis for Delayed BAM Neural Networks
Time-Series Prediction with Neural Networks: Combinatorial versus Sequential Approach
Dynamic Neural Nets in the State Space Utilized in Non-Linear Process Identification
Combining Distributed Populations and Periodic Centralized Selections in Coarse-Grain Parallel Genetic Algorithms
Centre Selection for Radial Basis Function Networks
Boosting Recurrent Neural Networks for Time Series Prediction
Generalising Experience in Reinforcement Learning: Performance in Partially Observable Processes
Determining the Dependency Among Clauses Based on Machine Learning Techniques
Modified Genetic Algorithms by Efficient Unification with Simulated Annealing
Agent-Based Approach to Solving the Resource Constrained Project Scheduling Problem
The Effect of Recurrent Networks on Policy Improvement in Polling Systems
Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis
Using of Neural-Network and Expert System for Imissions Prediction
Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II
Can Two Hidden Layers Make a Difference?
Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective
The accurate estimation of meteorological profiles employing ANNs
Reinforcement Learning and Genetic Regulatory Network Reconstruction
Defining Semantic Meta-hashtags for Twitter Classification
A learning probabilistic neural network with fuzzy inference
Incremental Acquisition of Complex Behaviour by Structured Evolution
Optimization of Topological Active Nets with Differential Evolution
Generalized Information-Theoretic Measures for Feature Selection
On Semantic Properties of Interestingness Measures for Extracting Rules from Data
Intelligence Approaches Based Direct Torque Control of Induction Motor
Analysis of Microscopic Mast Cell Images Based on Network of Synchronised Oscillators
Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data
RBFG Neural Networks for Insulation Thermal Ageing Prediction
Möbius Crossover and Excursion Set Mediated Genetic Algorithms
A neural network model for blast furnace wall temperature pattern classification
Supervised Parallel Genetic Algorithms in Aerodynamic Optimisation
New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows
PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem
Multi-objective Feature Selection with NSGA II
The Costing of Process Vessels Using Neural Networks
Multiple Traffic Signal Control Using A Genetic Algorithm
An Experience Based Competitive Learning Neural Model for Data Compression
Controlling the Experimental Three-Tank System via Support Vector Machines
Classification of EEG in A Steady State Visual Evoked Potential Based Brain Computer Interface Experiment
Bounds on Rates of Approximation by Neural Networks in L p -spaces
Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms
Effectiveness of Feature Space Selection on Credit Engineering on Multi-group Classification Cases
Using Genetic Algorithm in Self-Organizing Map Design
Evolving Neural Networks Using the "Baldwin Effect"
Gene Trajectory Clustering for Learning the Stock Market Sectors
Electric Load Forecasting with Genetic Neural Networks
A Hybrid Automated Detection System Based on Least Square Support Vector Machine Classifier and k -NN Based Weighted Pre-processing for Diagnosing of Macular Disease
Cryptanalytic Attack on the Self-Shrinking Sequence Generator
Evolutionary Computation Techniques for Telephone Networks Traffic Supervision Based on a Qualitative Stream Propagation Model
Fuzzy Kernel Ridge Regression for Classification
Excursion Set Mediated Evolutionary Strategy
Automatic Synthesis for Quantum Circuits Using Genetic Algorithms
Weighted Order Statistic Filters for Pattern Detection
Efficient Predictive Control and Set-Point Optimization Based on a Single Fuzzy Model
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input Vectors
Regressor Survival Rate Estimation for Enhanced Crossover Configuration
A Genetic Algorithm for Some Discrete-Continuous Scheduling Problems
Genetic Snakes: Application on Lipreading
Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification
Evolutionary Programming of Near-Optimal Neural Networks
Analyses of Simple Genetic Algorithms and Island Model Parallel Genetic Algorithms
Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths
A Robust Learning Model for Dealing with Missing Values in Many-Core Architectures
Timetabling Using Genetic Algorithms
Artificial Neural Networks for Motion Estimation
The RBF-Gene Model
Numerically Efficient Analytical MPC Algorithm Based on Fuzzy Hammerstein Models
Application of Fuzzy Integral Control for Output Regulation of Asymmetric Half-Bridge DC/DC Converter
Gabor Descriptors for Aerial Image Classification
Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms
Modular Labeling RAAM
Designing Development Rules for Artificial Evolution
Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem
On Fuzzy Driven Support for SD-Efficient Portfolio Selection
Learning Bayesian Classifiers from Dependency Network Classifiers
Evolving Low-Level Vision Capabilities with the GENCODER Genetic Programming Environment
One-Chip Evolvable Hardware: 1C-EHW
Massively Parallel Training of Multi Layer Perceptrons With Irregular Topologies
A Framework for Creating Societies of Agents
Jet Engine Turbine and Compressor Characteristics Approximation by Means of Artificial Neural Networks
A Branch and Bound Algorithm for Matching Protein Structures
Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem
Implementation of an Interactive NPC Based on Game Ontology and Game Community Q/A Bulletin Board
On Sum Coloring of Graphs with Parallel Genetic Algorithms
Evolutionary Learning of Recurrent Networks by Successive Orthogonal Inverse Approximations
Process Modelling and Control with Neural Networks: Present Status and Future Directions
Evolving Neural Controllers for Robot Manipulators
A Divide-and-Conquer Technique to Solve the Frequency Assignment Problem