yusuke1997/dblp-id-title huggingface dataset:
Research on Bitcoin Anti-anonymity Technology Based on Behavior Vectors Mapping and Aligning Model
Research and Application of Security Situation Awareness Platform for Large Enterprises
A Privacy-Preserving Medical Data Traceability System Based on Attribute-Based Encryption on Blockchain
TFC: Defending Against SMS Fraud via a Two-Stage Algorithm
PassEye: Sniffing Your Password from HTTP Sessions by Deep Neural Network
A Generic Architecture to Detect Vulnerability Leaks at Crowdsourced Tests
Analysis on the Security of Satellite Internet
Applying a Random Forest Approach to Imbalanced Dataset on Network Monitoring Analysis
Deep Learning Based Anomaly Detection for Muti-dimensional Time Series: A Survey
Comparing Immue and Neural Networks
A New Class of Implicative Fuzzy Associative Memories for the Reconstruction of Gray-Scale Images Corrupted by Salt and Pepper Noise
A Chemical Reactor Benchmark for Parallel Adaptive Control Using Feedforward Neural Networks
11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010
Stability analysis of pRAM reinforcement learning
LearningWeights for Linear Combination of Forecasting Methods
Weightless Neural Networks: Knowledge-Based Inference System
Novelty Detection in Time Series Through Self-Organizing Networks: An Empirical Evaluation of Two Different Paradigms
A Neural-Network based Approach for Recognition of Pose and Motion Gestures on a Mobile Robot
Atmospheric Pressure Applied to a Neural Network based Short Term Load Forecasting
Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning
A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem
CALIBRA for Fuzzy Concepts
A Neural Network-Based Direct Inverse Control for Active Control of Vibrations of Mechanical Systems
Segmentation of Digitized Mammograms Using Self-Organizing Maps in a Breast Cancer Computer Aided Diagnosis System
A Neural Classifier Employing Biased Wavelets
Adjusting Weights and Architecture of Neural Networks through PSO with Time-Varying Parameters and Early Stopping
A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model
Self-Organizing Modeling in Forecasting Daily River Flows
Emergence of Neuronal Groups on a Self-Organized Spiking Neurons Network Based on Genetic Algorithm
Space-vector structure based synthesis for hierarchically coupled associative memories
Adaptation of Parameters of BP Algorithm Using Learning Automata
A Local Search Algorithm Based on Clonal Selection and Genetic Mutation for Global Optimization
Global Optimization Methods for Designing and Training Neural Networks
Averaging Spectra to Improve the Classification of the Noise Radiated by Ships Using Neural Networks
A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance
Identification of Failed (Fissured) Fuel Rods in Nuclear Reactors Using Neural Processing and Principal Component Analysis
Continuous Attractors in Recurrent Neural Networks and Phase Space Learning
Applying Weights in the Functioning of the Dynamic Classifier Selection Method
Hierarchical Neuro-Fuzzy BSP Model - HNFB
Automatic Information Extraction in Semi-structured Official Journals
On the information storage of associative matrix memories
A Neural Propositional Reasoner that is Goal-Driven and Works without Pre-Compiled Knowledge
Feedback-Error-Learning for Controlling a Flexible Link
Linear Regression Methods to Predict Interval-Valued Data
Applying Neural Networks to Control Gait of Simulated Robots
On Frequency Sensitive Competitive Learning for VQ Codebook Design
Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm
EFuNN Ensembles Construction Using CONE with Multi-objective GA
Using Meta-learning to Classify Traveling Salesman Problems
Selection of Radial Basis Functions via Genetic Algorithms in Pattern Recognition Problems
Learning Vector Quantization in Text-Independent Automatic Speaker Recognition
Genetic Operators Setting for the Operation Planning of Hydrothermal Systems
Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model
A Semi-supervised Approach to Estimate the Number of Clusters per Class
Harmony Search for Multi-objective Optimization
On-Line Neo-Fuzzy-Neuron State Observer
Technique to Design MLP's Networks in CMOS Technology with Adjustment of the Back-Propagation Algorithm
Decisior Implementation in Neural Model Selection by Multi-objective Optimization
A Hybrid SOM-Based Document Organization System
Niches Evolving the Positioning of a Mechanical Arm in a 3D Environment
Hierarchical Agglomerative Clustering of Short-Circuit Faults in Transmission Lines
Hardware/Software Co-design Implementation of On-Chip Backpropagation
A Realistic Computer Simulation of Primary Somatosensory Cortex Replicating Static Properties of Topographic Organization
Structural and Parametric Evolution of Continuous-Time Recurrent Neural Networks
Character Recognition in Car License Plates Based on Principal Components and Neural Processing
A Hierarchical Memory Model for Conscious and Unconscious Mental Processes
Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
Application of Feedforward Neural Networks for Soft Sensors in the Sugar Industry
Aggregation Algorithms for Neural Network Ensemble Construction
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis
Growing Compact RBF Networks Using a Genetic Algorithm
A Dynamically Coupled Chaotic Oscillatory Correlation Network
NeuroSymbolic Processing: Non-Monotonic Operators and Their FPGA Implementation
On limited fan-in optimal neural networks
A Fixed-Point Algorithm for Independent Component Analysis which uses a priori Information
A Self-Organizing Map Model for Analysis of Musical Time Series
Improving Backpropagation with Sliding Mode Control
A Multi-objective Learning Algorithm for RBF Neural Network
A Solution of Dynamic Vehicle Routing Problem with Time Window via Ant Colony System Metaheuristic
Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems
Extraction of Visual Information Using Maximum Likelihood Hebbian Learning
A comparative study of the cascade-correlation architecture in pattern recognition applications
Optimizations of the Combinatorial Neural Model
Automatic Gender Identification by Speech Signal Using Eigenfiltering Based on Hebbian Learning
Combining Meta-learning and Search Techniques to SVM Parameter Selection
Internet economic news gathering and classification: a neural network software agent based approach
Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers
An Integrated Approach of Visual Computational Modelling
Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms
Multi-label Text Categorization Using VG-RAM Weightless Neural Networks
An Investigation of Fuzzy Combiners applied to a Hybrid Multi-neural System
An Evolving System Based on Probabilistic Neural Network
A New Look at Nonlinear Time Series Prediction with NARX Recurrent Neural Network
A Neural Architecture for the Identification of Number Sequences
Neural Network Applied to the Coevolution of the Memetic Algorithm for Solving the Makespan Minimization Problem in Parallel Machine Scheduling
Neural Networks for the analysis of Common Mental Disorders Factors
Neural Computation: From Neuroscience to Technology and Back Again
Self-Organizing Mapping of Robotic Environments Based on Neural Networks
Implementation of a Probabilistic Neural Network for Multi-spectral Image Classification on an FPGA based Custom Computing Machine
A Neural Key Generator for a Public Block Cipher
A Strategyfor the Selection of Solutions of the Pareto Front Approximation in Multi-objective Clustering Approaches
Very Short-Term Load Forecasting Using a Hybrid Neuro-fuzzy Approach
Target Recognition using Evolutionary Neural Networks
Pattern recognition of gases of petroleum based on RBF model
On Kolmogorov's Superpositions and Boolean Functions
Evolutionary Design of MLP Neural Network Architectures
ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems
Optimization of the Area under the ROC Curve
Multiple-Model Identification Using ANFIS for Nonlinear Systems
Assessing Stock Market Time Series Predictors Quality through a Pairs Trading System
7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil
Morphological Rules of Similarity for Hierarchical Distributed Representations
Many-Objective Evolutionary Algorithms in the Composition of Web Services
Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods
Visual Interpretation of Self Organizing Maps
Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction
Identifying Abnormal Nodes in Protein-Protein Interaction Networks
Forecasting the Air Transport Demand for Passengers with Neural Modelling
Tree Decomposition of Multiclass Problems
Convergence in a Sparse Distributed Memory
Safe Inclusion of Information about Rates of Variation in a Reinforcement Learning Algorithm
Evolutionary Optimization of RBF Networks
The Growing Self-Organizing Surface Map: Improvements
Optimising the Widths of Radial Basis Functions
A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms
Effect of the PSO Topologies on the Performance of the PSO-ELM
Fault Detection and Diagnosis in Duals Converters Applied in DC Drives
6th Brazilian Symposium on Neural Networks (SBRN 2000), 22-25 November 2000, Rio de Janiero, Brazil
A Heuristic Method Based on Unsupervised Learning and Fuzzy Inference for the Vehicle Routing Problem
Integration of Hierarchical Censored Production Rule (HCPR)-based System and Neural Networks
Mental Imagery in Explanations of Visual Object Classification
Support Vector Machines with Symbolic Interpretation
Application of Neural Networks: A Molecular Geometry Optimization Study
An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training
A General Approach for Density in the n-Dimensional Boolean Space
Synthesis of Analog Circuits Using Evolutionary Hardware
Neural Control Applied to the Problem of Trajectory Tracking of Mobile Robots with Uncertainties
Robustness Analysis of Network-Based Semi-supervised Learning Algorithms
Use of Multiobjective Genetic Algorithms in Feature Selection
Symbolic interval time series forecasting using a hybrid model
A Network of Globally Coupled Chaotic Maps for Adaptive Multi-Resolution Image Segmentation
Face Detector Combining Eigenfaces, Neural Network and Bootstrap
Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm
CDMA and TDMA Based Neural Nets
Applying Static and Dynamic Weight Measures in Ensemble Systems
Non-Linear Modelling and Chaotic Neural Networks
A Genetic Algorithm Approach to Optimize the Operation Planning of Hydrothermal System Scheduling
Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data
Fuzzy Markov Predictor with First and Second-Order Dependences
The Control of Dominance Area in Particle Swarm Optimization Algorithms for Many-Objective Problems
Vision-Based Motion Detection Using C-NLPCA Approach
SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means
A New Technique Based on Genetic Algorithms for Tracking of Power System Harmonics
Multi-ring Particle Swarm Optimization
An Improved Genetic Algorithm Performance with Benchmark Functions
Estimating the Number of Hidden Neurons of the MLP Using Singular Value Decomposition and Principal Components Analysis: A Novel Approach
A Biologically Inspired Connectionist System for Natural Language Processing
Evaluation of Neural Classifiers using Statistic Methods for Identification of Laryngeal Pathologies
Adjacency Matrix Representation in Evolutionary Circuit Synthesis
SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata
A Neural Mapping for Improving the Performance of a High-Energy Calorimeter
Forecasting the IBOVESPA Using NARX Networks and Random Walk Model
A Novel Approach for Solving Constrained Nonlinear Optimization Problems Using Neurofuzzy Systems
Autonomous Vehicle Parking using Finite State Automata Learned by J-CC Artificial Neural Nets
Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images
A Weightless Neural Node Based on a Probabilistic Quantum Memory
Bayesian Neural Networks on the Inference of Distillation Product Qualit
Using a Probabilistic Neural Network for a Large Multi-label Problem
Hierarchical Multilabel Classification Using Top-Down Label Combination and Artificial Neural Networks
Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles
An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference
Comparing Different Clustering Techniques RBF Networks Training
Elastic Neural Net Algorithm for Cluster Analysis
A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows
An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations
A Hybrid Genetic Algorithm for Finding Stable Conformations of Small Molecules
A Signal Processing System based upon Monolithic Neural Coprocessors
Extraction of Statistically Dependent Sources with Temporal Structure
SAR Image Classification Using a Neural Classifier Based on Fisher Criterion
Error Entropy and Mean Square Error Minimization Algorithms for Neural Identification of Supercritical Extraction Process
A structured approach to neural networks in bankruptcy prediction
Fault Detection and Isolation in Robotic Manipulators and the Radial Basis Function Network Trained by the Kohonen's Self-Organizing Map
Design of a Fuzzy Controller with Simplified Architecture
A Multi-Objective Optimization Approach for Training Artificial Neural Networks
Using Interacting Forces to Perform Semi-supervised Learning
Meta-Learning for Periodic Algorithm Selection in Time-Changing Data
A Density-Based Clustering Approach for Behavior Change Detection in Data Streams
An Adaptive Neural Fuzzy Network Model for Seasonal Streamflow Forecasting
Clonal Selection Algorithm with Oppositional Approach Applied to Trajectory Planning of a Robotic Manipulator
Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances
Realization of a Mixed-Mode Neural Coprocessor for Signal Processing
Hamming Net and LVQ Neural Networks for Classification of Computer Network Attacks: A Comparative Analysis
NSL: a Neuro-Symbolic Language for Monotonic and Non-Monotonic Logical Inferences
Dynamic Behaviour Forecast as a Driving Force in the Coevolution of One-Dimensional Cellular Automata
An Application of the Ant Colony System Metaheuristic to the Vehicle Routing Problem with Pickup and Delivery and Time Windows
Extracting Driving Signals from Non-Stationary Time Series
Applying a Discrete Particle Swarm Optimization Algorithm to Combinatorial Problems
Fingerprint classification with neural networks
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity
Dynamic Modeling of Robotic Trajectories Using the Parametrized SOM
Hypermedia Intelligent System
Improving Support of Appropriate Executive Decisions by Combining Artificial Immune Systems and Fuzzy Logic
A New Paradigm for the Description of Image Patterns - From Pixels to Fuzzy Sets of Rules
Cellular Automata-Based Scheduling: A New Approach to Improve Generalization Ability of Evolved Rules
RBF Neural Networks and MTI for Text Independent Speaker Identification
Using MLP Networks to Classify Red Wines and Water Readings of an Electronic Tongue
Symbolic Regression via Genetic Programming
Automatic Target Recognition using a Constructive Approach
A Hybrid RNN Model for Cursive Offline Handwriting Recognition
Bio-inspired Optimization Techniques for SVM Parameter Tuning
A Clustering Method for Improving the Global Search Capability of Genetic Algorithms
Reinforcement Learning Method for BioAgents
LIBRAS Signals Recognition: a study with Learning Vector Quantization and Bit Signature
A Neo-Fuzzy-Neuron with Real-Time Training Applied to Flux Observer for an Induction Moto
Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms
Constructing Software Autonomous Agents to Computer Network Management
On-Line Learning Using a Connectionist Controller for Simulated Robot Soccer
A Fuzzy Threshold Max-Product Unit, with Learning Algorithm, for Classification of Pattern Vectors
Weight Structure of Binary Codes and the Performance of Blind Search Algorithms
An Energy Exchanging Mechanism for Data Clustering
Local Feature Selection for Generation of Ensembles in Text Clustering
A Performance Analysis of Mono and Multi-objective Evolutionary Algorithms Assisted by Meta-modeling
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil
Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms
A New Proposal for Implementation of Competitive Neural Networks in Analog Hardware
On the Universality of Quantum Logical Neural Networks
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
Simulated Annealing for Robust VQ: Improving Image Transmission through a Fading Channel
Context and Scale Influencing Clustering through Unsupervised Neural Networks
Feedforward Neural Network Initialization: an Evolutionary Approach
A Feed Forward Neural Network with Resolution Properties for Function Approximation and Modeling
An Isolated Word Speech Recognition System based on Kohonen Neural Network
Extreme Learning for Evolving Hybrid Neural Networks
An artificial neural network-genetic based approach for time series forecasting
Spatially Adaptive Image Restoration by Neural Network Filtering
Using Support Vector Machines to Predict the Performance of MLP Neural Networks
Improvements in the Partitions Selection Strategy for Set of Clustering Solutions
An Experimental Study of Ensemble Systems on Cancellable Iris
Self-Organizing Maps Applied to Information Retrieval of Dissertations and Theses from BDTD-UFPE
An Adaptive Algorithm Based On The Sigmoidal Function
Combining Distances through an Auto-Encoder Network to Verify Signatures
Some Results on Activation and Scaling of Sparse Distributed Memory
UB1 - a recurrent neural network based parallel machine for solving simultaneous linear equations
NeuroInflow: The New Model to Forecast Average Monthly Inflow
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems
Neural Network-Based Controllers for Mobile Robot
A Comparative Study of LBG and SOA Codebooks Concerning the Computational Complexity of the Minimum Distortion Encoding for VQ
Negative Selection with High-Dimensional Support for Keystroke Dynamics
Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach
An Efficient Implementation of a Learning Method for Mamdani Fuzzy Models
A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms
Selecting Diverse Members of Neural Network Ensembles
Lattice Synchronization of Neural Oscillators for Scene Segmentation
A Model for the Simulation of a Cold Rolling Mill, Using Neural Networks and Sensitivity Factors
Neural Connect 4 - A Connectionist Approach to the Game
Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process
An Evolutionary Immune Network for Data Clustering
Multicast Routing with Quality of Service and Traffic Engineering Requirements in the Internet, Based On Genetic Algorithm
SBRN 2006, The Ninth Brazilian Symposium on Neural Networks, Ribeirão Preto, SP, Brazil, October 23-27, 2006
Artificial Neural Network Applied to Power System Protection
Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces
Speeding Up Autonomous Learning by Using State-Independent Option Policies and Termination Improvement
A Neural Network Generating Adaptive Rhythms for Controlling Behavior Based Robotic Systems
Fetal Left Atrium Segmentation using Kohonen Maps to Measure the Septum Primum Redundancy Index
Web Text Mining Using a Hybrid System
A Self-Organizing Algorithm for Image Compression
10th Brazilian Symposium on Neural Networks (SBRN 2008), Salvador, Bahia, Brazil, October 26-30, 2008
Constructive and Pruning Methods for Neural Network Design
Inferring Genetic Regulatory Networks with an Hierarchical Bayesian Model and a Parallel Sampling Algorithm
A Symbolic Approach to Gene Expression Time Series Analysis
Implementation of Probabilistic Automata in Weightless Neural Networks
4th Brazilian Symposium on Neural Networks, SBRN 1997, Campos do Jordao, Brazil, December 3-5, 1997
Neurons and Neural Fuzzy Networks Based on Nullnorms
Factor Semantics for Document Retrieval
Using Katz Centrality to Classify Multiple Pattern Transformations
Easy Efficiency-Enhancement Technique for the ECGA
A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks
Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme
Multiclass SVM Design and Parameter Selection with Genetic Algorithms
A Study of Possible Improvements to the Alopex Training Algorithm
Unsupervised Neural Network Learning for Blind Sources Separation
Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms
Turing Machines with Finite Memory
A Note on Sample Complexity of Learning Binary Output Neural Networks under Fixed Input Distributions
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer
Algorithms to Augment Diversity and Convergence in Multiobjective Multicast Flow Routing
Searching for a Cryptographic Model Based on the Pre-Image Calculus of Cellular Automata
Quantum Logical Neural Networks
Pathological Electroencephalographic Signals Classification by Using Multi-Resolution Analysis and Neural Network
Using the GasNet Model in Discrete Domains
The Influence of Different Cost Functions in Global Optimization Techniques
A Recurrent Fuzzy Neural Network: Learning and Application
Automatic Text Categorization: Case Study
On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study
Self-Controlling Dominance Particle Swarm Optimization
Some typical classes of t-norms and the 1-Lipschitz Condition
GA Optimization of OBF TS Fuzzy Models with Linear and Non Linear Local Models
A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis
I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization
A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination
Fuzzy Systems to Solve Inverse Kinematics Problem in Robots Control: Application to an Hexapod Robots' Leg
Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach
A Methodology Using Neural Network to Cluster Validity Discovered from a Marketing Database
Using Neural Networks to Evaluate the Effectiveness of a new Seismic Fault Attribute
Evolutionary Algorithm for 3D Object Reconstruction from Images
Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study
Designing Translation Invariant Operators for Financial Time Series Forecasting