yusuke1997/dblp-id-title huggingface dataset:
Acoustic novelty detection with adversarial autoencoders
Boolean and $\mathbb{F}_{p}$-Matrix Factorization: From Theory to Practice
Overview of Deep Learning Architectures for EEG-based Brain Imaging
A Parallel Perceptron network for classification with direct calculation of the weights optimizing error and margin
Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures
MPC-based control strategy of a neuro-inspired quadruped robot
A Deep News Headline Generation Model with REINFORCE Filter
Research on driving fatigue detection method based on fNIRS data and Facial Features
Comparison of auto-encoders with different sparsity regularizers
Seizure detection based on spatiotemporal correlation and frequency regularity of scalp EEG
Integrating awareness in user oriented route recommendation system
Extraction of interaction information between breeding cows with GPS and its application to estrus detection
Information maximization with Gaussian activation functions to generate explicit self-organizing maps
Error bound analysis of policy iteration based approximate dynamic programming for deterministic discrete-time nonlinear systems
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer
Temporal Pattern Coding in Deep Spiking Neural Networks
An Empirical Analysis of Boosting Deep Networks
On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN
A threshold varying bisection method for cost sensitive learning in neural networks
A model of Baldwin effect in populations of self-learning agents
An adaptive recurrent neuro-fuzzy filter for noisy speech enhancement
HEXA: Heterogeneity-aware Exact Aggregation for Efficient Fine-Tuning in Federated Learning
MTLP-MDG: Multi-Task Learning Framework using Probabilistic Distribution Perception for Missing Data Generation
Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis
Adaptive Priority Reweighing for Generalizing Fairness Improvement
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm
Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation
Foraging behavior in a 3-D virtual sea snail having a spiking neural network brain
Generative mixture of networks
Facial expression Recognition based on Motion Estimation
Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approach
Heuristic Search for Activation Functions of Neural Networks Based on Gaussian Processes
Stochastic Pruning for Neural Networks
A shape descriptor based on symbolic data analysis
STGNet: Adaptive Millimeter-Wave Gesture Recognition via Spatial-Temporal Gesture Network
Online Semi-supervised Growing Neural Gas for Multi-label Data Classification
Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning
How best to restore operations of a damaged ANN?
An Analysis on the Learning Rules of the Skip-Gram Model
Activation functions with learnable amplitude
Improving the Generalization Capability of the Binary CMAC
Side-channel analysis and machine learning: A practical perspective
parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis
Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation
Value of Information-Enhanced Exploration in Bootstrapped DQN
EfficientHuman: Efficient Training and Reconstruction of Moving Human using Articulated 2D Gaussian
Adaptive skew-sensitive fusion of ensembles and their application to face re-identification
Neural Network-Based Robust Adaptive Beamforming
LogBERT: Log Anomaly Detection via BERT
Boosting Network for Image Denoising
Legal Document Classification: An Application to Law Area Prediction of Petitions to Public Prosecution Service
Robust L1-norm matrixed locality preserving projection for discriminative subspace learning
Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks
Temporal Convolutional Neural Networks for Solar Power Forecasting
A learning scheme based on similarity functions for affective common-sense reasoning
Localization of Mobile Robots with Topological Maps and Classification with Reject Option using Convolutional Neural Networks in Omnidirectional Images
Stochastic competitive learning
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
Domain adaptation for cross-lingual query classification using search query logs and document classification
Text extraction from name cards using neural network
Learning 2-opt Local Search from Heuristics as Expert Demonstrations
High Dynamic Range Imaging with Context-aware Transformer
Attribute weighting: How and when does it work for Bayesian Network Classification
Voice over LTE Quality Evaluation Using Convolutional Neural Networks
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding
A modular neural network architecture that selects a different set of features per module
Validation Loss Landscape Exploration with Deep Q-Learning
Adaptive algorithms for accelerated PCA from an augmented Lagrangian cost function
Learning to reach after learning to look: A study of autonomy in learning sensorimotor transformations
Learning of Kernel Functions in Support Vector Machines
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images
A novel support vector machine with its features weighted by mutual information
Soft Upper-bound Support Vector Machines
Fed-DSMOTE: A Federated Learning Approach for Intrusion Detection in Resource-Constrained Internet of Things
KAN-RCBEVDepth: Integrating Multi-modal Sensor Data for Robust 3D Object Detection in Autonomous Driving
Neural networks based chemical process models
A Semi-Supervised Learning Method for Spiking Neural Networks Based on Pseudo-Labeling
Cross-Domain Matrix Compression Adaptation for Zero-Shot Sketch-Based Image Retrieval
MDA-ML:A Multi-source Domain Adaptation Network with Multi-view Learning for Emotion Recognition
Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks
Robust modular ARTMAP for multi-class shape recognition
Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction
Temporal and rate decoding in spiking neurons with dendrites
Locally linear independent component analysis
Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution
Data Mining system for biochemical analysis in experimental physiology
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units
Volumetric Modulated Arc Therapy Dose Distribution Prediction for Breast Cancer Patients: CNN Approach
Neural smoothing transition coefficients for nonlinear processes in mean and variance
A group-decision making model of orientation detection
Pattern recognition device using scalar vector graphics
Inferring method of the gene regulatory networks using neural networks adopting a majority rule
Subword Semantic Hashing for Intent Classification on Small Datasets
Intelligent Trip Modeling on Ramps using ramp classification and knowledge base
Adaptive Improved Portfolio Sharpe Ratio Maximization with Diversification
Learning Semantic Coherence for Machine Generated Spam Text Detection
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
An artificial neural network study of the relationship between arousal, task difficulty and learning
Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning
Context Embedding Similarity based Semi-Supervised Active Learning for Time Series
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Semi-SynRE: Enhancing Relation Extraction via Semi-Supervised Learning with Synthetic Data
Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data
Research Paper Recommender System by Considering Users' Information Seeking Behaviors
An online approach towards self-generating fuzzy neural networks with applications
SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition
Nonnegative matrix factorization with adaptive neighbors
Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming
A Novel Bi-Branch Graph Convolutional Neural Network for Aspect Level Sentiment Classification
An experimental study of several decision issues for feature selection with multi-layer perceptrons
Deriving kernels from MLP probability estimators for large categorization problems
Gender and ethnic classification of human faces using hybrid classifiers
Autoencoders Without Reconstruction for Textural Anomaly Detection
Multi-privacy biometric protection scheme using ensemble systems
Modular neural networks for solving high complexity problems
Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation
In the quest of efficient hardware implementations of dynamic neural fields: An experimental study on the influence of the kernel shape
Application of genetic algorithms to neural networks based control of a liquid level tank system
Steel defect classification with Max-Pooling Convolutional Neural Networks
Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager
Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition
Studies of generalization for the LAPART-2 architecture
A New SOM-based Visualization Technique for DNA Microarray Data
Similar-image retrieval systems using ICA and PCA bases
PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction
Improving Human Action Recognition through Hierarchical Neural Network Classifiers
Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics
Document Image Retrieval Using Deep Features
Learning concept drift in nonstationary environments using an ensemble of classifiers based approach
Neural network with fuzzy dynamic logic
Developmental learning on a humanoid robot
Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain
Semi-supervised Anomaly Detection on Attributed Graphs
Learning space model for educational social networks
Effective Fashion Retrieval Based on Semantic Compositional Networks
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
A loudspeaker response model using tuneable approximate piecewise linear regression
ACFNet: An Adaptive Context Fusion Network for Skin Lesion Segmentation
Spiking neural networks for financial data prediction
Predicting Juvenile Diabetes from Clinical Test Results
Deep Learning Based Short-Term Total Cloud Cover Forecasting
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
Approximate Sampling Method for Locally Linear Embedding
Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance
A multiplicative update algorithm for nonnegative convex polyhedral cone learning
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system
A Spiking Neural Network with dynamic memory for a real autonomous mobile robot in dynamic environment
International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022
Recognition of Colon Cells Using Ensemble of Classifiers
Nonlinear dynamic system identification using Legendre neural network
Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations
Feature Attribution Explanation to Detect Harmful Dataset Shift
A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion Process
The importance of hyperparameters selection within small datasets
How to find different neural networks by negative correlation learning
New and used bills classification for cepstrum patterns
Towards Model-Agnostic Cooperative Perception
SWAT: An unsupervised SNN training algorithm for classification problems
Analysis of Augmentations for Contrastive ECG Representation Learning
Magnetic resonance imaging estimation of longitudinal relaxation rate change (ΔR1) in dual gradient echo sequences using an adaptive model
MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation
Langevin Algorithms for Markovian Neural Networks and Deep Stochastic Control
PHTop: Sketch Recognition Technology Based on Graph Topology Neural Network
Hardware Implementation of Dynamic Synapse Neural Networks for Acoustic Sound Recognition
Predicting Performance using Approximate State Space Model for Liquid State Machines
Evolutionary Complex-Valued CNN for PolSAR Image Classification
Hybrid tuning of activation functions in feedforward neural networks
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain
Matrix variate RBM model with Gaussian distributions
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
A neural network least-square estimator
Multi-channel Cross-modal Fusion With Contrastive Learning For Multimodal Sentiment Analysis
Multi-view subspace clustering with consistent and view-specific latent factors and coefficient matrices
Model-Agnostic Causal Principle for Unbiased KPI Anomaly Detection
Audio onset detection: A wavelet packet based approach with recurrent neural networks
Visual saliency via loss coding
The e-PCA and m-PCA: dimension reduction of parameters by information geometry
Application of biologically inspired neural oscillators to colour image segmentation
How the core theory of CLARION captures human decision-making
Automatic speech synthesis unit generation with MLP based postprocessor against auto-segmented phoneme errors
Fast Learning for Problem Classes Using Knowledge Based Network Initialization
An initialization scheme for supervized K-means
CTF-ERC: Coarse-to-Fine Reasoning for Emotion Recognition in Conversations
Learning Stable Movement Primitives by Finding a Suitable Fuzzy Lyapunov Function from Kinesthetic Demonstrations
Time series classification from scratch with deep neural networks: A strong baseline
Face recognition using special neural networks
Neural Network Prediction of Reduced Ion Mobility of Chemical Compound Based on Molecular Structure
Autonomous Perceptual Categorization for Robotic Lifelong Learning in Dynamic Domains
MKCBlock: Multi Kernel Convolution with Eliminating Dimension Expansion for Real-Time Semantic Segmentation
Novel digital spiking neuron and its pulse-coupled network: spike position coding and multiplex communication
Exploring Spatiotemporal Functional Connectivity Dynamics of the Human Brain using Convolutional and Recursive Neural Networks
Feature extractions with geometric algebra for classification of objects
Emulation of finite state automata with networks of synfire rings
Long and Short-Term User Intent Learning for Sequence Recommendation
BRG: Bidirectional Regularization Guidance for Unsupervised Domain Adaptation Semantic Segmentation
ELM-SOM: A Continuous Self-Organizing Map for Visualization
Margined Winner-Take-All: New learning rule for pattern recognition
Dual-stream Self-Attentive Random Forest for False Information Detection
DFFNet: Dual-Channel Feature Fusion Network for End-to-End 6D Pose Estimation
Designing an adaptive attention mechanism for relation classification
Dual-Path Reconstruction Guided Segmentation Network for Unsupervised Anomaly Detection and Localization
Remarks on the stability of asymmetric dynamical neural networks
A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques
Attention-Based Denoising Cross-Modal Multi-Level Fusion Network for Multimodal Sentiment Analysis
The race to new mathematics of brains and consciousness - A tribute to John G. Taylor
SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities
International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021
BigyaPAn: Deep Analysis of Old Paper Advertisement
Wind power forecasting - An application of machine learning in renewable energy
Learning associations of conjuncted fuzzy sets for data prediction
Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer
Fault diagnosis of pneumatic actuator using adaptive network-based fuzzy inference system models and a learning vector quantization neural network
A Model-Based Distance for Clustering
Emergence of group behavior in multiagent systems using self trained agent communication
Accelerated Dropout: A Bitmask Approach to Speed Up Model Training
Automated online feature selection and learning from high-dimensional streaming data using an ensemble of Kohonen neurons
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines
Fast Learning for Multi-Agent with Combination of Imitation Learning and Model-Based Learning for Formation Change of Transport Robots
A neural network for solving the travelling salesman problem on the basis of city adjacency in the tour
Transfer Learning for Piano Sustain-Pedal Detection
Using artificial neural networks to identify headings in newspaper documents
Tiny Reservoir Computing for Extreme Learning of Motor Control
Quantitative Analysis of Dynamical Complexity in Cultured Neuronal Network Models for Reservoir Computing Applications
Support conformal vector machines with optimal Bayes point
Multi-Relational Graph Convolution Network for Stock Movement Prediction
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
Adversarial Named Entity Recognition with POS label embedding
Kernels for Large Margin Time-Series Classification
Using stochastic logic for efficient pattern recognition analysis
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization
Thermodynamics proof of sensory learning and implication of mammal homeostasis
Comparative genomic study of Parkinson's disease candidate genes
Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method
Autonomous Navigation of Agricultural Robots Utilizing Path Points and Deep Reinforcement Learning
Position independent neuro pattern matching and its application to handwritten numerical character recognition
Multi-label learning for dynamic model type recommendation
Study on the performance of neuromorphic adiabatic quantum computation algorithms
Minority Oversampling Using Sensitivity
An automated string-based approach to White Matter fiber-bundles clustering
Sequencing the musical sections with deep learning
Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations
Biasing second-order random walk sampling for heterogeneous graph embedding *
Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent Detection
Stochastic Spiking Neural Networks at the EDGE of CHAOS
CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation
Reservoir Computing with Neuromemristive Nanowire Networks
A general projection neural network for solving optimization and related problems
Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models
A Framework for the Analysis of Deep Neural Networks in Aerospace applications using Bayesian Statistics
Multi-label classification by ART-based neural networks and hierarchy extraction
HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
Quasi-invariant stable multivariable CMAC variable structure neurocontrol
ICA-NN Based Data Fusion Approach in ECT Signal Restoration
Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel
Neural-based approach to perceptual sparse coding of audio signals
Multi-Organ Segmentation Based on Multi-Granularity Prototype Learning
Multiple Timescale and Gated Mechanisms for Action and Language Learning in Robotics
Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems
Sig-R 2 ResNet: Residual Network with Signal Processing-refined Residual Mapping, Auto-tuned L1-Regularization with Modified Adam Optimizer for Time Series Classification
Unsupervised Arabic Speech Embedding Model for Speaker Identification
PCA and ICA for the extraction of EEG components in cerebral death assessment
Meta-Learning and Novelty Detection for Machine Learning with Reject Option
Network intrusion detection for cyber security on neuromorphic computing system
ShuffleVITNet: Mobile-Friendly Vision Transformer With Less-Memory
PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection
A robust method for the interpretation of genomic data
Life stage based recommendation in e-commerce
Classifier comparison for MSER-based text classification in scene images
A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm
An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks
Enhancing Features in Long-tailed Data Using Large Vision Model
Categorical Mapping from Ontology to Neural Network: Initial Studies of Simple Neural Networks' Concept Capacity
Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations
View-Invariant Gait Recognition Based on Deterministic Learning and Knowledge Fusion
Ho-Kashyap content-addressable associative processors
LRTD: A Low-rank Transformer with Dynamic Depth and Width for Speech Recognition
Serotonin and dopamine systems: Internal areas and sequential tasks
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons
Simulating probability learning and probabilistic reversal learning using the attention-gated reinforcement learning (AGREL) model
GLQA: A Generation-based Method for Legal Question Answering
Microwave Link Failures Prediction via LSTM-based Feature Fusion Network
Nonlinear dynamic system identification using artificial neural networks (ANNs)
Kernel Based Functional Gene Grouping
Self-adaptive probability estimation for Naive Bayes classification
Self-organized executive control functions
Competitive learning using competitive activation rules
Ensemble learning using observational learning theory
Learning-possibility of neuron model can recognize depth-rotation in three-dimension space
Semi-supervised learning for weighted LS-SVM
The challenge of using unsupervised learning algorithms for fuzzy cognitive maps
A Multiple Source based Transfer Learning Framework for Marketing Campaigns
Locality Preserving Projection via Deep Neural Network
Controlled consensus time for community detection in complex networks
TSNet: A Transformer-based Medical Image Segmentation Algorithm for Improving Channel Interaction
Deep Learning for Porous Media Classification Based on Micro-CT Images
Some experiments on learning stable network oscillations
Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction
A Neural Support Vector Network Architecture with Adaptive Kernels
Gated Res2Net for Multivariate Time Series Analysis
Kernel-based associative memory
Deep Neural Network Ensembles for Time Series Classification
A fast learning algorithm with Promising Convergence Capability
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition