yusuke1997/dblp-id-title huggingface dataset:
Latent HyperNet: Exploring the Layers of Convolutional Neural Networks
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification
Extraction of thin color pattern from images for histology investigation
Support Vectors Selection by Linear Programming
STRIDE: Scene Text Recognition In-Device
Binocular visual servoing based on PID neural network
Key-frame extraction of wildlife video based on semantic context modeling
Machine Learning Techniques in Detecting of Pulmonary Embolisms
Feed-forward echo state networks
Improving load forecasting based on deep learning and K-shape clustering
Delay Compensation Through Facilitating Synapses and STDP: A Neural Basis for Orientation Flash-Lag Effect
One-step neural network inversion with PDF learning and emulation
Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework
The next generation of SNNs, energy effectiveness and memory optimisation
A Novel Ensemble Representation Framework for Sentiment Classification
Searching for linearly separable subsets using the class of linear separability method
Deep Learning Towards Intelligent Vehicle Fault Diagnosis
Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine
Robust Cross-modal Medical Image Translation via Diffusion Model and Knowledge Distillation
Comparison of fractal characteristics of the electroencephalogram at schoolchildren 10-12 years old in norm and with difficulties in learning
Convolving over time via recurrent connections for sequential weight sharing in neural networks
Dynamic feedback tracking control of tracked mobile robots with estimated slipping parameters
Multi-attribute Semantic Adversarial Attack Based on Cross-layer Interpolation for Face Recognition
eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces
Kernel selection with evolutionary algorithm for multiple kernel independent component analysis
Intelligent interfaces for locomotory prosthesis
Biomimetic (topological) pattern recognition - a new model of pattern recognition theory and its application
Critic Boosting Attention Network on Local Descriptor for Few-shot Learning
A local linear modeling paradigm with a modified counterpropagation network
A self-organizing architecture of recursive elements for continuous learning
Learning probabilistic kernel feature subspace with side-information for classification
A variable step-size adaptive algorithm under maximum correntropy criterion
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
Constrained Manifold Learning for Videos
Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study
AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method
Use of reliability measures to improve the performance of fuzzy ARTMAP networks
GGANet: A Geometry-Enhanced Gated Attention Network for Drug-Target Interaction Prediction
Reliable storage and recall of aperiodic spatiotemporal activity patterns using scaffolded attractors
Stochastic analysis of smart home user activities
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States
Signal coding and reconstruction using deterministic spiking neurons
Dynamics of Hodgkin and Huxley model with conductance based synaptic input
Experience-Based Identification and Control via Higher-Level Learning and Context Discernment
Novel Use of Channel Information in a Neural Convolutional Decoder
Active Binocular Gaze Control Inspired by Superior Colliculus
Assessment of fetal reactivity biopatterns during labour by fetal ECG analysis
Chaotic associative memory using distributed patterns for image retrieval by shape information
Applications of color image processing using three-layer cellular neural network considering HSB model
A geometric radial basis function network for tracking variant 3D transformations
An in-vehicle virtual driving assistant using neural networks
SCGS: Interactive Scale-Controlled 3D Object Segmentation with Gaussian Splatting
Multiobjective multiclass support vector machine based on the one-against-all method
A Comparison of Machine Learning Approaches to Detect Botnet Traffic
FBI-Net: Foreground and Background Isolate Knowledge Distillation Network for Surface Defect Detection
Enhancing Code Representation Learning for Code Search with Abstract Code Semantics
Using weak supervision in learning Gaussian mixture models
Multi-level Visual Fusion Networks for Image Captioning
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
Algorithm programmed by a neural network model for coordinate transformation
Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm
Detection of filter-like cellular automata spectra
Joint Learning Method Based On Transformer For Image Retrieval
Joint Node Representation Learning and Clustering for Attributed Graph via Graph Diffusion Convolution
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
Crogging (cross-validation aggregation) for forecasting - A novel algorithm of neural network ensembles on time series subsamples
RecolorGaussian: Palette-based 3D Scene Recoloring with Gaussian Splatting
A Novel Approach to Protein Folding Prediction based on Long Short-Term Memory Networks: A Preliminary Investigation and Analysis
A self-organizing neural network approach for the identification of motifs with insertions and deletions in protein sequences
LiteHA-Net: A Lightweight and High-Accuracy Network for Infrared Small Target Detection
CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data
Population based Mean of Multiple Computations networks: A building block for kinematic models
Efficient video object classifier using locality-enhanced support vector machines
The VLSI implementation of STONN
Evaluation of Convolutional Neural Network Architectures for Chart Image Classification
Brain MRI Tumor Segmentation with Adversarial Networks
EM Algorithms for Self-Organizing Maps
Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams
A reservoir computing model of episodic memory
An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks
A hybrid latent variable neural network model for item recommendation
Neural fractional order PID controller embedded in an 8-bit microcontroller for neonatal incubator
A multi-state model of cortical memory
A learning algorithm for multilayer perceptron as classifier
Position Paper: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms in Critical Infrastructures
Toward an Optimal Ensemble of Kernel-based Approximations with Engineering Applications
Learning to compensate for sensor variability at the focal plane
Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO
Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction
Domain Adaptative Semantic Segmentation by alleviating Long-tail Problem
Self-Organizing Map-based Probabilistic Associative Memory for Sequential Patterns
Semi-supervised clustering using similarity neural networks
WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric
The effect of methods addressing the class imbalance problem on P300 detection
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures
Neural Network Recognition of Spherical Bodies Set Grain-Size Distribution Using Envelope of Surface
Compress-filtering and transfer-expanding of data set for short-term load forecasting
A New Feature Selection Method based on Monarch Butterfly Optimization and Fisher Criterion
MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI
Active Learning for Input Space Exploration in Traffic Simulators
Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach
Pinning Control for Synchronization of Drive-Response Memristive Neural Networks with Nonidentical Parameters
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning
Short Term Load Forecasting Using Particle Swarm Optimization Based ANN Approach
Location of coffee beans using Hopfield-type neural network
On output regulation for SISO nonlinear systems with dynamic neural networks
Optimized selection of training samples for One-Class Neural Network classifier
A probabilistic self-organizing classification neural network architecture
Adaptive Distance-Aware Attention Models for Routing Problems
A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication
Attention to EEG signals: a transformer-based architecture for the prognosis of patients in coma
Convergence of coherent components of neural networks by positive correlation learning
Anomaly Detection in Trajectory Data with Normalizing Flows
Descendant hierarchical support vector machine for multi-class problems
Analog current-mode CMOS implementation of central pattern generator for robot locomotion
The importance of stop word removal on recall values in text categorization
Least squares support vector machine ensemble
MFPD:Multi-feature Prompt-Driven Industrial Real-Time Semantic Segmentation
Epidemiological dynamics modeling by fusion of soft computing techniques
Hyperspectral image classification by ensembles of multilayer feedforward networks
OOA-UADS: Offline, Online, Analysis-an Unsupervised Anomaly Detection Solution for Multivariate Time Series
A Neural Learning Algorithm for the Diagnosis of Breast Cancer
Speed Optimisation Module of a Hydraulic Francis turbine based on Artificial Neural Networks. Application to the Dynamic Analysis and Control of an Adjustable Speed Hydro Plant
An image recognition based on neural oscillator network
2015 International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, July 12-17, 2015
Border ownership in a nano-neuromorphic circuit using nonlinear dendritic computations
Early-Late Dropout for DivideMix: Learning with Noisy Labels in Deep Neural Networks
Privacy-Preserving Convex Factorization Machine
BYY data smoothing based learning on a small size of samples
A Benchmark and Baseline for Open-Set Incremental Object Detection
A fast incremental learning algorithm of RBF networks with long-term memory
Feature selection for regression tasks base on explainable artificial intelligence procedures
Computational Efficiency Assessment of Using Artificial Neural Networks in Structural Multiscale Finite Element Analysis
Feature selection in frequency domain and its application to face recognition
Person Image Synthesis in Arbitrary 3D Poses Based on Part Affinity Fields
Random projection below the JL limit
The design of CMOS cellular neural network (CNN) using the neuron-bipolar junction transistor (νBJT)
Zip nets: Efficient associative computation with binary synapses
Time-series novelty detection using one-class support vector machines
Sparse least squares support vector regression for nonstationary systems
Outdoor scene understanding using SEVI-BOVW model
Highly sensitive weak signal acquisition method for GPS/compass
Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
A Dental Periapical X-ray Images Segmentation Network Based on Pixel-Wise Contrastive Learning with Dual Attention Mechanisms
Diagnosis of pneumonia from sounds collected using low cost cell phones
Cortical mechanisms of memory formation and readout
Potential layer-wise supervised learning for training multi-layered neural networks
Pseudo RBF Network for Position Independent Hand Posture Recognition System
Hybrid weather-based ANN for forecasting the production of a real wind power plant
A cognitive monitoring system for contaminant detection in intelligent buildings
Simulated Annealing for Pattern Detection and Seismic Application
Synthesis of binary cellular automata based on binary neural networks
DDNet: Density and depth-aware network for object detection in foggy scenes
Parallel back-propagation using genetic algorithm: real-time BP learning on the massively parallel computer CP-PACS
Uncertainty with the Gamma Test for model input data selection
Localization via multipath strengths in a CDMA2000 cellular network using neural networks
Adaptive recurrent cerebellar model articulation controller for unknown dynamic systems with optimal learning-rates
Computational Assessment of the 'Magic' of Human Cognition
Language-agnostic Zero-Shot Machine Translation with Language-specific Modeling
Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology
Hierarchical decomposition of calcium imaging into multi-level ensembles using neural matrix factorization
Application of artificial neural networks and related techniques to intrusion detection
Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative
Non-uniqueness of solutions of 1-norm support vector classification in dual form
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation
A rule extraction study on a neural network trained by deep learning
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks
A Weighting Loss Approach for Transformer-Based Object Detection
Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA
Binary neural network based 3D facial feature localization
On the utility of sparse neural representations in adaptive behaving agents
Computational intelligence virtual community: Framework and implementation issues
BTGAN: Training GAN with Balanced Triplet Loss and Two-Branch Architecture
Non-rigid point set registration using color and data downsampling
Learning Text Document Representations by One-Class Glial Neural Networks
Fire detection systems by compact electronic nose systems using metal oxide gas sensors
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework
Learning Syntactic and Dynamic Selective Encoding for Document Summarization
A Frequency Bin Analysis of Distinctive Ranges Between Human and Deepfake Generated Voices
Model selection methods in multilayer perceptrons
Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification
Value system development for a robot
Confidence factor and feature selection for semi-supervised multi-label classification methods
Spreading Associative Neural Network Recognizes the Shape and Position of an Object Simultaneously
Improved Keyword Recognition Based on Aho-Corasick Automaton
Improving Image Autoencoder Embeddings with Perceptual Loss
Probabilistic associative memories
Comparison and hybridization of neural networks and fuzzy logic in biomedical applications
CMAC-Based Supervisory Control for Chaotic Chua's Circuits
A Fuzzy Approach to Stereo Vision Using Pyramidal Images with Different Starting Level
Isolation Forest Based Multi-Source Unsupervised Transfer Learning for Missing GDP Prediction
Requirements for the synthesis of Boolean neural networks
Determination of tea quality by using a neural network based electronic nose
Scalable large margin online metric learning
An Embedded Hardware-Software System to Detect and Foresee Road Ice Formation
Distantly Supervised Relation Extraction through a Trade-off Mechanism
Speech recognition based on fundamental functional principles of the brain
Lateral Representation Learning in Convolutional Neural Networks
Programming Style Analysis with Recurrent Neural Network to Automatic Pull Request Approval
A Multi-Exposure Generation and Fusion Method for Low-Light Image Enhancement
Omni-Dimensional Dynamic Convolution with Global-Local Multi-Scale Aggregation for Robust Spoof Speech Detection
Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences
Friends Recommendation Based on KBERT-CNN Text Classification Model
A hierarchical predictive scheme for incremental time-series classification
Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification
A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis
Biologically inspired model for crater detection
Biofunctionality: a novel learning method for intelligent agents
Learning Empathy-Driven Emotion Expressions using Affective Modulations
Deep multitask neural networks for solving some stochastic optimal control problems
On self-organizing maps for orienteering problems
Photovoltaic Module Single-Diode-Model Identification by a Physics-Informed Neural Network
Recognition of printed Arabic words with fuzzy ARTMAP neural network
Reversible logic neural networks
A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
Parallel dynamic search fireworks algorithm with linearly decreased dimension number strategy for solving conditional nonlinear optimal perturbation
Improve L2-normalized Softmax with Exponential Moving Average
Reinforcement Learning for Platform-Independent Visual Robot Control
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
Active Learning with Interpretable Predictor
Energy efficient perceptron pattern recognition using segmented memristor crossbar arrays
A self-organizing multi-memory system for autonomous agents
Attention-based learning
Making use of damped noisy gradient in training neural network
Feedforward Neural Network Reconstructed from High-order Quantum Systems
DualScaleNet: A Self-Supervised Dual-Branch Contrastive Learning Framework for Enhanced Medical Image Segmentation
Hebbian motor control in a robot-embedded model of habituation
Self-organizing neural networks for behavior modeling in games
Signature based intrusion detection using latent semantic analysis
Detecting Cyber Attacks in Industrial Control Systems Using Spatio-Temporal Autoencoder
YOLO-WKPose: An Advanced Algorithm for Key Point Detection in Fixed-Wing UAVs
Low order modeling for multiple moving sound synthesis using head-related transfer functions' principal basis vectors
HGKT: Hypergraph-based Knowledge Tracing for Learner Performance Prediction
Neural network approach to hoist deceleration control
Learning filter systems
Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery
ESC: Explaining the Predictions of Deep Neural Networks via Concept Similarity
PP-RCNN: Point-Pillars Feature Set Abstraction for 3D Real-time Object Detection
Convex Geometry and Nonlinear Approximation
Hawkes Process Classification through Discriminative Modeling of Text
An Industrial Short Text Classification Method Based on Large Language Model and Knowledge Base
Novelty-Guided Reinforcement Learning via Encoded Behaviors
SkiDNet: Skip Image Denoising Network for X-Rays
Hard-limiter Neuron based Turing Machine Simulation with Constant Time Read/Write Operation
TinyOL: TinyML with Online-Learning on Microcontrollers
A new robust neural network method for coherent interference rejection in adaptive array systems
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks
Filter Bank Feature Combination (FBFC) approach for brain-computer interface
A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach
RANSAC algorithm with sequential probability ratio test for robust training of feed-forward neural networks
Using 3D GNG-based reconstruction for 6DoF egomotion
Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events
Multitask Learning Using BERT with Task-Embedded Attention
Enhancing temporal alignment with autoencoder regularization
Deep Non-monotone Submodular Network: An Application to Conditional Video Summarization
Stimulus discrimination in networks of spiking neurons
Batch Part-mask Network for person re-identification
Representation of DNA sequences with multiple resolutions and BP neural network based classification
Motivational modulation of endogenous inputs to the superior colliculus
Robust semi-supervised concept factorization
PVis - Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions
Maximally fault-tolerant neural networks and nonlinear programming
Model-based articulatory phonetic features for improved speech recognition
On the Information Plane of Autoencoders
A feature extraction of the EEG during listening to the music using the factor analysis and neural networks
Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure
Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size
TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
Investigation of Performance of Visual Attention Mechanisms for Environmental Sound Classification: A Comparative Study
Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering
Incremental learning from unbalanced data
Fault diagnosis of steam turbine-generator using CMAC neural network approach
Nonlinear dynamics on VSF-network
Application of Multi Objective Evolutionary Programming to Combined Economic Emission Dispatch Problem
Discriminative training of Bayesian Chow-Liu multinet classifiers
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams
Polar backpropagation [artificial neural networks]
Composing Bossa Nova by Evolutionary Computation
Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
A computational model of reach decisions in the primate cerebral cortex
Is cognitive dissonance compatible with human evolution?
Generalized cascade classification model with customized transformation based ensembles
A Deep Reinforcement Learning Agent for Sound-Based Fighting Games
Rule Extraction from a Multi Layer Perceptron with Staircase Activation Functions
Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation
Probabilistic neural networks for multi-class tissue discrimination with gene expression data
Efficient 3D Semantic Segmentation of Seismic Images using Orthogonal Planes 2D Convolutional Neural Networks
CGMSF-SAR:Context-Guided and Multi-Scale Fusion Lightweight SAR Ship Detection Model
On the computational power of neural networks and neural automata
Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers
Non-negative Autoencoder with Simplified Random Neural Network
Vector classification by a winner-take-all neural network with digital frequency-locked loop
pGBF: Personalized Gradient Boosting Forest