yusuke1997/dblp-id-title huggingface dataset:
A Study of the Action Potential Initiation Site along the Axosomatodendritic Axis of Neurons Using Compartmental Models
Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality
Restricted Dynamic Heterogeneous Fleet Vehicle Routing Problem with Time Windows
Parametric Neurocontroller for Positioning of an Anthropomorfic Finger Based on an Oponent Driven-Tendon Transmission System
Digital Implementation of a Biological-Plausible Model for Astrocyte Ca ^2+ Oscillations
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Classification with Synaptic Radial Basis Units
Effects of Spatial Frequency and Stimulus Size on the Orientation Sensitivity of Humans
Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks
Kernel Machines for Non-vectorial Data
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
Backpropagation Multilayer Perceptron: A Modular Implementation
Accurate Decomposition of Standard MLP Classification Responses into Symbolic Rules
Visual Probe Mark Inspection, Using Hardware Implementation of Artificial Neural Networks, in VLSI Production
On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers
Rank-Based Ant System to Solve the Undirected Rural Postman Problem
Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks
Implications of Human+Machine Systems as Critical Infrastructures Under Sustainable Development Goals
Limitation of Connectionism in MLP
Toward an Intelligent Computing Solution for Endotracheal Obstruction Prediction in COVID-19 Patients in ICU
Neurobiological Modeling of Bursting Response During Visual Attention
Synaptic Modulation Based Artificial Neural Networks
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization
Simulation of Neural Networks in a Distributed Computing Environment Using NeuroGraph
Self-Organizing Incremental Neural Network (SOINN) as a Mechanism for Motor Babbling and Sensory-Motor Learning in Developmental Robotics
A Centralized Approach to an Ambient Assisted Living Application: An Intelligent Home
Decrementing Hamming and Bayesian Neural Networks: Analog Implementations and Relative Performance
Power Quality 24-h Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in Detached Smart Buildings
Bias and Fairness in NLP: Addressing Social and Cultural Biases
PNEPs, NEPs for Context Free Parsing: Application to Natural Language Processing
Prediction of Air Pollution Using LSTM
Self-Organization of Shift-Invariant Receptive Fields
Symmetrical Current Flow Reconstruction for Sector-Shaped Multi-wire Cables Using Machine Learning
Shape Memory Fabrics to Improve Quality Life to People with Disability (PWD)
Deep Learning Based Ship Movement Prediction System Architecture
BAC Overlap Identification Based on Bit-Vectors
Packlib, an Interactive Environment to Develop Modular Software for Data Processing
Ambient Temperature Estimation Using WSN Links and Gaussian Process Regression
A Scalable Long-Horizon Forecasting of Building Electricity Consumption
Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering
Separating Convolutive Mixtures by Mutual Information Minimization
Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs
Initialization in Genetic Algorithms for Constraint Satisfaction Problems
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules
Ordering Relations Over Intuitionistic Fuzzy Quantities
OBLIC: Classification System Using Evolutionary Algorithm
Activity Recognition Based on a Multi-sensor Meta-classifier
Version of the New SHA Standard Applied to Manage Certificate Revocation in VANETs
Supervised Classification With Variable Kernel Estimators
An Interactive Content Service for Photo Frames in the Home
An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes
Supervised Classification with Associative SOM
Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process
Using Quadratic Perceptrons to Reduce Interconnection Density in Multilayer Neural Networks
Application of a Multilayer Discrete-Time CNN to Deformable Models
Intersection over Union with Smoothing for Bounding Box Regression
Finite Size Effects in Neural Networks
Multiple Self-Organizing Maps for Supervised Learning
Quasi-Newton Learning Methods for Quaternion-Valued Neural Networks
Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters
A Deep Neural Network for G-Quadruplexes Binding Proteins Classification
Automatic Handling of Tissue Microarray Cores in High-Dimensional Microscopy Images
A Presence-Aware Smart Home System (PASH)
A Multiacuity Connectionist Model for Local Speed Estimation
A Geometrical Based Procedure for Source Separation Mapped to a Neural Network
Towards a Multiagent Approach for the VERDINO Prototype
Symmetry: Between Indecision and Equality of Choice
Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series
Maximum Margin Clustering for State Decomposition of Metastable Systems
Towards Automatic Crack Detection by Deep Learning and Active Thermography
Neural Networks and Other Machine Learning Methods in Cancer Research
Studying the Convergence of the CFA Algorithm
Analysis of Hebbian Models with Lateral Weight Connections
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure
A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection
Autonomous Clustering for Machine Learning
Improving Classification under Changes in Class and Within-Class Distributions
Simultaneous Recognition of Multiple Objects Using the MEM Model
A Reinforcement Learning Algorithm Using Temporal Difference Error in Ant Model
A Field-Programmable Conductance Array IC for Biological Neurons Modeling
Use of Distributed IT Tools for Assessment of Manufacturing Processes
Feature Reduction Using Support Vector Machines for Binary Gas Detection
Hybrid Approach for 2D Strip Packing Problem Using Genetic Algorithm
Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN
Extracting DNF Rules from Artificial Neural Networks
A Decision-Aided Strategy for Enhancing Transmissions in Wireless OSTBC-Based Systems
Necessary First-Person Axioms of Neuroconsciousness
CMOL CrossNets as Pattern Classifiers
Machine Learning Methods from Group to Crowd Behaviour Analysis
Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection
Bias and Variance of Rotation-Based Ensembles
System Identification of High Impact Resistant Structures
Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism
Inaccessible Parameters Monitoring in Industrial Environment: A Neural Based Approach
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning
Some Applications of Interval Analysis to Statistical Problems
Training Simple Recurrent Networks Through Gradient Descent Algorithms
Regularized Active Set Least Squares Algorithm for Nonnegative Matrix Factorization in Application to Raman Spectra Separation
Sleep Stage Classification Using Advanced Intelligent Methods
A Distributed Architectural Strategy towards Ambient Intelligence
CMOS Implementation of a Cellular Neural Network with Dynamically Alterable Cloning Templates
Random Forests Model for HVAC System Fault Detection in Hotel Buildings
Model Comparison for the Detection of EEG Arousals in Sleep Apnea Patients
Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources
Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences
Fast Independent Component Analysis Using a New Property
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
Effect of Electrical Synapses in the Cycle-by-Cycle Period and Burst Duration of Central Pattern Generators
Learning By Reinforcement: A Psychobiological Model
Application of HLVQ and G-Prop Neural Networks to the Problem of Bankruptcy Prediction
Image Compression Using Feedforward Neural Networks - Hierarchical Approach
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines
Time Series Classification of Electroencephalography Data
Multiple AM Modulated Visual Stimuli in Brain-Computer Interface
Toward Virtual Machine Packing Optimization Based on Genetic Algorithm
TiViPE Simulation of a Cortical Crossing Cell Model
Detection of Glaucoma by Means on ANNs
Neural Networks as Direct Adaptive Controllers
Dementia Detection and Classification from MRI Images Using Deep Neural Networks and Transfer Learning
Road Sign Recognition Using Spatial Dimension Reduction Methods Based on PCA and SVMs
Autonomous Docking of Mobile Robots by Reinforcement Learning Tackling the Sparse Reward Problem
A Hybrid Differential Evolution Algorithm for Solving the Terminal Assignment Problem
Frailty Level Prediction in Older Age Using Hand Grip Strength Functions Over Time
A Bayesian Classifier Combination Methodology for Early Detection of Endotracheal Obstruction of COVID-19 Patients in ICU
Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study
An Ambient Intelligent Approach to Control Behaviours on a Tagged World
Object Oriented Design of a Simulator for Large BP Neural Networks
Non-linear Speech Coding with MLP, RBF and Elman Based Prediction
Document Model with Attention Bidirectional Recurrent Network for Gender Identification
A Biologically Inspired Neural Network for Autonomous Underwater Vehicles
Intermittent Burst Synchronization in Neural Networks
Second-Order Recurrent Neural Networks Can Learn Regular Grammars from Noisy Strings
Multi-layer Perceptrons for Voxel-Based Classification of Point Clouds from Natural Environments
Real-Coded GA for Parameter Optimization in Short-Term Load Forecasting
The Role of Dynamic Reconfiguration for Implementing Artificial Neural Networks Models in Programmable Hardware
Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
A Cuneate-Based Network and Its Application as a Spatio-Temporal Filter in Mobile Robotics
High Level Abstractions for Improving Parallel Image Reconstruction Algorithms
Optimiized Learning for Improving the Evolution of Piecewise Linear Separation Incremental Algorithms
Population Extinction in Genetic Algorithms: Application in Evolutionary Studies
Extreme Learning Machine: A Robust Modeling Technique? Yes!
Automatic Learning of Gait Signatures for People Identification
Testing Restorable Systems by Using RFD
Modelling Perceptual Discrimination
Transformation of Control Signals for Saccadic Eye Movements
A Model for Classifying Emergency Events Based on Social Media Multimodal Data
Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators
An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata
Early Detection and Diagnosis of Faults in an AC Motor Using Neuro Fuzzy Techniques: FasArt + Fuzzy k Nearest Neighbors
Easing the Smart Home: Translating Human Hierarchies to Intelligent Environments
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise
Secure Semi-supervised Vector Quantization for Dissimilarity Data
The Antiquadrupolar Phase of the Biquadratic Neural Network
Neural Networks for Automatic Fuzzy Control System Design
Video Categorisation Mimicking Text Mining
Massive Parallel Self-organizing Map and 2-Opt on GPU to Large Scale TSP
Heuristics for ROSA's LTS Searching
Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks
Time Series Forecasting with Quantum Neural Networks
GREAT: Gene Regulation EvAluation Tool
Cognitive Processes in Social Interaction - A Neural Networks Approach
Combining SVM Classifiers for Email Anti-spam Filtering
F-Measure as the Error Function to Train Neural Networks
Optimizing Strategy Parameters in a Game Bot
Color Recipe Specification in the Textile Print Shop Using Radial Basis Function Networks
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!
Modeling Student-Subject Interactions with GNNs for Grade Prediction
Designing and Evolving an Unreal TournamentTM 2004 Expert Bot
Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)
Decision Support Systems for Air Traffic Control with Self-enforcing Networks Based on Weather Forecast and Reference Types for the Direction of Operation
Estimate of a Probability Density Function through Neural Networks
Practical Consideration on Generalization Property of Natural Gradient Learning
SSVEP-Based BCI in a Smart Home Scenario
Classifying Qualitative Time Series with SOM: The Typology of Career Paths in France
Integration of CNN into a Robotic Architecture to Build Semantic Maps of Indoor Environments
Machine Learning Improves Human-Robot Interaction in Productive Environments: A Review
Random Perturbations to Hebbian Synapses of Associative Memory Using a Genetic Algorithm
A Metrics Review for Performance Evaluation on Assisted Wheelchair Navigation
From the Queue to the Quality of Service Policy: A Middleware Implementation
BSO-FS: Bee Swarm Optimization for Feature Selection in Classification
From Continuous Behaviour to Discrete Knowledge
A Self-Organizing Model for the Development of Ocular Dominance and Orientation Columns in the Virtual Cortex
Combining Ant Colony Optimization with Dynamic Programming for Solving the k-Cardinality Tree Problem
Co-evolutionary Learning in Liquid Architectures
A Novel Heuristic for Building Reduced-Set SVMs Using the Self-Organizing Map
Adaptive Ant Colony Optimization for Service Function Chaining in a Dynamic 5G Network
Balanced Boosting with Parallel Perceptrons
Application of Artificial Neural Networks to the Design and Implementation of Electronic Olfactory Systems
Application and Implementation of Neural Networks in Microelectronics
Neural Networks for Coefficient Prediction in Wavelet Image Coders
Visual Processing Platform Based on Artificial Retinas
Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover
Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning
A Peer-to-Peer Information Sharing Method for RDF Triples Based on RDF Schema
Computational Intelligence in Multimedia Processing
Learning by Attentional Scanning
UV-programmable Floating-Gate CMOS Linear Threshold Element "P1N3"
Bio-inspired Systems. Several Equilibria. Qualitative Behavior
Web Application and Image Analysis Tool to Measure and Monitoring the Density in Bone Fractures with a Predictive Approach
A Simplified Artmap Architecture for Real-Time Learning
Exploiting Neuro-Fuzzy System for Mobility Prediction in Wireless Ad-Hoc Networks
Hardware Requirements for Spike-Processing Neural Networks
Variable Binding Using Serial Order in Recurrent Neural Networks
Method for Power System Topology Verification with Use of Radial Basis Function Networks
An Empirical Comparison of Training Algorithms for Radial Basis Functions
Robustness of Radial Basis Functions
Improving the Consistency of AHP Matrices Using a Multi-layer Perceptron-Based Model
Special Time Series Prediction: Creep of Concrete
Multiwindow Fusion for Wearable Activity Recognition
Adversarial Attacks on Leakage Detectors in Water Distribution Networks
In Premises Positioning - Fuzzy Logic
DIAMI: Distributed Intelligent Environment for Blind Musicians
BatchNorm Decomposition for Deep Neural Network Interpretation
Unsupervised Learning Bee Swarm Optimization Metaheuristic
Saccadic Points Classification Using Multilayer Perceptron and Random Forest Classifiers in EOG Recordings of Patients with Ataxia SCA2
Analysis of the Effect of the Time Interval Between Samples on the Solar Forecasting
A Screening Method for Z-Value Assessment Based on the Normalized Edit Distance
Composition of Temporal Bounded Services in Open MAS
Extracting User Preferences by GTM for aiGA Weight Tuning in Unit Selection Text-to-Speech Synthesis
Building Self-adaptive Services for Ambient Assisted Living
An Empirical Study of an Extended Technology Acceptance Model for Online Video Services
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks
An AER to CAN Bridge for Spike-Based Robot Control
Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size
Pattern Recognition System with Top-Down Process of Mental Rotation
Neural Networks with Hysterisis Type of Nonlinearity Exhibit Global Optimization Property
Rainfall Forecasting Based on Ensemble Empirical Mode Decomposition and Neural Networks
Evolution of Firms in Complex Worlds Generalized NK Models
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions
Composing and Ensuring Time-Bounded Agent Services
Search for Meaning Through the Study of Co-occurrences in Texts
Applying Data Mining Techniques in a Wyner-Ziv to H.264 Video Transcoder
Ensemble Transfer Learning Framework for Vessel Size Estimation from 2D Images
Optimal Discrete Recombination: Hybridising Evolution Strategies with the A* Algorithm
Artificial Neural Networks, International Workshop, IWANN '91, Granada, Spain, September 17-19, 1991, Proceedings
Neural Inspired Architectures for Nanoelectronics
Use of a Layered Neural Nets as a Display Method for N-Dimensional Disributions
A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCI
On Transfer Learning for Detecting Abusive Language Online
Using CARREL + to Increase Availability of Human Organs for Transplantation
An Integrated Circuit for Artificial Neural Networks
Monitoring Motor Fluctuations in Parkinson's Disease Using a Waist-Worn Inertial Sensor
Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier
Conventional Joystick vs. Wiimote for Holonomic Wheelchair Control
System Identification of Dengue Fever Epidemics in Cuba
Fuzzy Property-Oriented Concept Lattices in Morphological Image and Signal Processing
Quality of Life Evaluation of Elderly and Disabled People by Using Self-Organizing Maps
Three Alternatives for Parallel GPU-Based Implementations of High Performance Particle Swarm Optimization
Web Meta-search Using Unsupervised Neural Networks
Phase Memory in Oscillatory Networks
Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images
A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map
Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis
Frequency Analysis of a 64x64 Pixel Retinomorphic System with AER Output to Estimate the Limits to Apply onto Specific Mechanical Environment
Well-Distributed Pareto Front by Using the e-MOGA Evolutionary Algorithm
A First Insight into the In Silico Evaluation of the Accuracy of AFLP Markers for Phylogenetic Reconstruction
Attentional Strategies for Object Recognition
Teleoreactive Neural Networks
Quantal Neural Mechanisms Underlying Movement Execution and Motor Learning
A Node Splitting Algorithm that Reduces the Number of Connections in a Hamming Distance Classifying Network
A Medical Case-Based Reasoning Approach Using Image Classification and Text Information for Recommendation
The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting
Learning Algorithm with Gaussian Membership Function for Fuzzy RBF Neural Networks
A Similarity-Based WAM for Bousi~Prolog
A Fast Orthogonalized FIR Adaptive Filter Structure Using Recurrent Hopfield-Like Network
Optimal Transformations in Multiple Linear Regression Using Functional Networks
Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem
Efficiency Analysis of Parallel Batch Pattern NN Training Algorithm on General-Purpose Supercomputer
Modeling Stimulus Equivalence with Multi Layered Neural Networks
Analog Electronic System for Simulating Biological Neurons
Comparative Study of Deep Learning Approaches for Fish Origin Classification
Adaptive Representation of Objects Topology Deformations with Growing Neural Gas
Indoor Localization Based on Neural Networks for Non-dedicated ZigBee Networks in AAL
Neural Net Generation of Facial Displays in Talking Heads
Exploring a Mathematical Model of Gain Control via Lateral Inhibition in the Antennal Lobe
Neurocomputational Models of Visualisation: A Preliminary Report
Natural Gradient Learning in NLDA Networks
A Connectionist Model of Human Reading
Suitable Number of Visual Stimuli for SSVEP-Based BCI Spelling Applications
Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation
The Problems of Selecting Problems
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN
Evaluation of Master-Slave Approaches for 3D Reconstruction in Electron Tomography
MLFEN: Multi-scale Long-Distance Feature Extraction Network
Dataflow Processing Modeling in Performance Extension of LOTOS
Determining the User-Level Transmission Delay in Networks of Workstations
VL-STAG: An Allocation Policy for DOACROSS Loops
Implementation Problems of Distributed Voting Schemes in the PVM Environment
A Distributed Algorithm for Finding an Eulerian Cycle in Networks
Analysis and Simulation of a Deterministic Multiple Access Communication Protocol
Distributed Rerouting of Multicast Connections with Delay Constraints
Techniques for Availability and Reliability of Distributed-Parallel Storage Systems
Derivation of Efficient Parallel Algorithms on a Ring of Processors
Dynamic Load Balancing in a Variable-Grained Parallel Computational Model
A Combined Virtual Shared Memory and Network which Schedules
The Dual Timestamping Methodology for Visualizing Distributed Application Behavior
Invalidation-based Distributed Shared Memory Integrated into a Distributed Operating System
Dynamic Replica Configuration Architectures in Distributed Intranets
Eliminating False Sharing in Cache Coherence Protocols for Parallel and Distributed File Systems: The ParFiSys Approach
Reliable TINA-based Telecommunication Networking Environment
Modelling an Asynchronous Parallel Modified Cholesky Factorization for Sparse Matrices
SMART: A Simulator of Massive Architectures and Topologies
Large Scientific Calculations an Dedicated Clusters of Workstations
Fault-Tolerant Replication Control for Mobile Distributed Database Systems
CB-COMA: A COMA Multicomputer System for One-Line Common Bus Networks
Automatic Generation of Parallel Code for Solving PDE Based Problems
Parallel Evolutionary Computation: Multi Agents Genetic Algorithms
Greedy On-Line File Transfer Routing
Routing Multicast Streams in Clos Networks
Parallel String Matching Algorithms an Processor Arrays with a Reconfiguable Bus System
A New Approach for Task Scheduling in Distributed Systems
On Parallel Generation of Combinations in Associative Processor Architectures
Inverse de Bruijn and Inverse Kautz Optical Networks
Using Performability Analysis in the Design of a New Multiprocessor Architecture
On the Loss of Parallelism by imposing Synchronization Structure
Evaluation of the Work Load Balance in Irregular Problems using Value Based Data Distributions
An Environment for the Support of Concurrent Program Design
Asynchronous Chaotic Algorithms for Computer Tomography
An Interface Architecture for a Low-Latency Network of Workstations using 10 GBIT/S Switched LAN Technology
Parallel Database Processing/Data Mining an Large Scale ATM Connected PC Cluster
Integrating Reverse Engineering into Reuse Process
KautzNet: Multihop Lightwave Networks
Proceedings of the IASTED International Conference on Parallel and Distributed Systems, Euro-PDS'97, June 9-11, 1997, Barcelona, Spain
Simulation in Parallel Software Design
MaROS: A Framework for Application Development on Mobile Hosts
Implementing Tuple Space with Threads
A Highly Fault-Tolerant Circuit-Switched Hypercube