yusuke1997/dblp-id-title huggingface dataset:
Deep learning based frameworks for image super-resolution and noise-resilient super-resolution
Lightweight Spatial-Temporal Resolution Network for Massive MIMO CSI Feedback
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
Modeling the young modulus of nanocomposites: A neural network approach
Modeling and controlling interstate conflict
Bayesian ANN classifier for ECG arrhythmia diagnostic system: a comparison study
Recognizing objects in non-controlled backgrounds by an appearance two-step approach
NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning
Minimizing validation error with respect to network size and number of training epochs
A solving method for MDPs by minimizing variational free energy
MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware
CLCT-GAN: Strong-Weak Contrastive Learning for Reconstructing CT Images from Radiographs
A multi-modal neural network using Chebyschev polynomials and its application
Integrated pulse neuron circuit for asynchronous pulse neural networks
Model Selection via Bilevel Optimization
LDFC-YOLO: A Detector for Electron Microscope Images of Cashmere and Wool
Nonlinear soft sensing modeling by combining multiple RBFN-based models
On the study of BKYY cluster number selection criterion for small sample data set with bootstrap technique
From Echo Distillation to Chat-Driven: A Multi-Task VLM is OK for Object Detection and Fine-Grained Classification in Remote Sensing Images
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation
Local Tangent Generative Adversarial Network for Imbalanced Data Classification
Probabilistic Deep Learning Model for Time Series Analysis
The selforganizing neural network approach to load forecasting in the power system
Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance
Prior Probability Estimation in Dynamically Imbalanced Data Streams
Information Aggregation Semantic Adversarial Network for Cross-Modal Retrieval
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 4
An Incremental Growing Neural Network and its Application to Robot Control
Scaling neural network for job-shop scheduling
SoC Kohonen Maps Based on Stochastic Computing
Introduction of a new notion into RBF networks: the shape concept
Batch-Learning Self-Organizing Map with Weighted Connections avoiding false-neighbor effects
An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals
Selective Expression For Event Coreference Resolution on Twitter
Threshold logic: Is there finally a solution?
Parallel training of convolutional neural networks for small sample learning
An unsupervised learning method for representing simple sentences
Self-organizing neural networks for learning air combat maneuvers
Empirical inference problems
An Enhanced Quantum-inspired Neural Network for Complex-valued Text Representation Learning
KSAG-Net::Kernel-Size Attention Guidance Dual-Branch Network for Coronary Artery Segmentation
Multi-Source Transfer Learning for Non-Stationary Environments
A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems
Adaptive dynamic neuro-fuzzy system for traffic signal control
Synchronization detection in networks of coupled oscillators for pattern recognition
Adaptive and heuristic approaches for nonlinear source separation
A Novel Graph Representation of Spectrograms: A Comparative Study of GNN-based Respiratory Sound Classification Methods
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states
Competitive STDP-based Feature Representation Learning for Sound Event Classification
Associative memory for geon-based object identification
Image recognition systems with permutative coding
EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network
On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control
Cascade steepest descent learning algorithm for multilayer feedforward neural network
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Position Paper on the Role of Sequential Switches in Human Cognition and Supporting Sustainable AI
Fast predictive inverse neurocontrol: Comparative simulation and experiment
A new fuzzy shape context approach based on multi-clue and state reservoir computing
Cooperative Evolution Multiclass Support Matrix Machines
Sketch metric learning
Multi-step LSTM Prediction Model for Visibility Prediction
Distance Correlation Autoencoder
A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification
Class Equilibrium using Coulomb's Law
Functional role of entorhinal cortex in working memory and information processing of the medial temporal lobe
Monthly energy consumption forecast: A deep learning approach
Landscape of a Likelihood Surface for a Gaussian Mixture and its use for the EM Algorithm
Genetic Predictors of Social and Cognitive Outcomes in People with Ultra-High-Risk of Psychosis Using Spiking Neural Networks
Adaptive Pooling Is All You Need: An Empirical Study on Hyperparameter-insensitive Human Action Recognition Using Wearable Sensors
Face recognition using voting technique for the Gabor and LDP features
Dual Augmentation Semi-Supervised Learning for Classification of Alzheimer's Disease and Mild Cognitive Impairment
Signature identification via efficient feature selection and GPU-based SVM classifier
Prior knowledge for fuzzy knowledge-based artificial neural networks from fuzzy set covering
Towards modeling of Readers' Emotional State response for the automated annotation of documents
FedEWA: Federated Learning with Elastic Weighted Averaging
Self-Organizing Semantic Maps of Japanese Nouns in Terms of Adnominal Constituents
Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs
Behavioral model for simplified identification of memristor parameters
Predicting Nodule Malignancy using a CNN Ensemble Approach
Associated Hermite series based Iterative Learning Control with Experience inclusion using Local Learning Approach
Convergence properties of a pulsed neural network
A sparse least squares support vector machine classifier
A Graph Convolutional Stacked Temporal Attention Neural Network for Traffic Flow Forecasting
A Layerwise-Multi-Angle Approach to Fine-Tuning the Quantum Approximate Optimization Algorithm
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
Grassmann matching kernels for scene representation and recognition
A nonexclusive task decomposition method for modular neural networks
Analysis of Technical, Economic and Social Information Features to Predict the Bitcoin Price Direction for Day-Trade Operations
Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control
Extraction of frame-difference features based on PCA and ICA for lip-reading
Evaluation of Time-Series Training Dataset through Lens of Spectrum of Deep State Space Models
Accelerated Block Coordinate Descent for Sparse Group Lasso
Bio-inspired architecture for a reactive-deliberative robot controller
Guide-wire detection using region proposal network for X-ray image-guided navigation
Learning Online for Unified Segmentation and Tracking Models
GCN-LRP explanation: exploring latent attention of graph convolutional networks
Estimation of individual prediction reliability using error analysis applied to short-term load forecasting problem
Capacity of second-ordered bidirectional associative memory in the presence of noise bits
Supervised Neural Network with multilevel input layers for predicting of air traffic delays
FLCAP: Federated Learning with Clustered Adaptive Pruning for Heterogeneous and Scalable Systems
Hierarchical organization in neuronal functional networks during working memory tasks
A discrete stochastic neural network algorithm for constraint satisfaction problems
Beyond accuracy, VuLocator can further locate the vulnerable code lines for GNN-based detectors
Causal Feature Selection via Transfer Entropy
Attention-Based Multi-Filter Convolutional Neural Network for Inappropriate Speech Detection
Two-Stage Pre-Training for Sequence to Sequence Speech Recognition
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data
ETreeNet: Ensemble Model Fusing Decision Trees and Neural Networks for Small Tabular Data
A Neural-Networks Controller for a Single-Link Flexible Manipulator Based on the Inverse Dynamics Structure
Lattice point sets for efficient kernel smoothing models
A Deep Neural Network Model for Predicting User Behavior on Facebook
Enhanced Extreme Learning Machine with stacked generalization
Entropy based disease classification of proteomic mass spectrometry data of the human serum by a support vector machine
An elastic net solution to obstacle avoidance tour planning
On Geometric Structure of Quasi-Additive Learning Algorithms
On improving trust-region variable projection algorithms for separable nonlinear least squares learning
Ensemble based 3D human motion classification
SVM - Neighbor based candidate working set selection applied on text-categorization
How saccadic vision might help with the interpretability of deep networks
Predictive head tracking for virtual reality
A semi-parametric approach for football video annotation
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm
Hierarchical Autoencoder for Collaborative Filtering
Cross-View Image Geo-Localization Based on Weighted InfoNCE
A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification
Enhancing the Detection of Criminal Organizations in Mexico using ML and NLP
Physical Activity Recognition Using Multi-Sensor Fusion and Extreme Learning Machines
Nonlinear analysis and selection of relevant parameters in assessing the treatment results of reducing tremor, using DBS procedure
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction
A perception evolution network for unsupervised fast incremental learning
Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction
A Saliency-Guided Residual Network Based on Interactive-Aware Attention for Medical Image Fusion
Why is it hard to induce long-term depression?
Visual Global Localization with a Hybrid WNN-CNN Approach
A new method of weak signal detection based on improved matching pursuit algorithm
GViT: Locality enhanced Vision Transformer using Spectral Graph Convolutional Network
Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center
A bootstrap-based iterative selection for ensemble generation
Multi-Receptive Atrous Convolutional Network for Semantic Segmentation
CLGNN: UAV Fault Diagnosis via Causal Learning and Graph Neural Network
Correctness and performance of the SpiNNaker architecture
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation
Benchmarking Inference Performance of Deep Learning Models on Analog Devices
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise
From Weakly Supervised Learning to Biquality Learning: an Introduction
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces
RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution
ConvGAN: A ConvNeXt-Enhanced CycleGAN for Chinese Calligraphy and Painting Fusion
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis
Patient stratification with competing risks by multivariate Fisher distance
EET: Efficient event tracking over emergency-oriented web data
CVKAN: Complex-Valued Kolmogorov-Arnold Networks
3D Joint-Aware Features in GRU-based Kinematic Chain for Human Mesh Recovery
On Duality Gap as a Measure for Monitoring GAN Training
A novel recurrent neural network with minimal representation for dynamic system identification
Transfer learning for Latin and Chinese characters with Deep Neural Networks
Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification
Distance Functions and Normalization Under Stream Scenarios
Hierarchical Multiple Granularity Attention Network for Long Document Classification
Large scale parameter estimation for nonlinear dynamic systems: Application on spike-in, spike-out neural models
An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing
Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm
QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study
Hybrid neural networks for social emotion detection over short text
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method
Research on fake news detection method based on multi-level semantic enhancement
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations
On the sample mean of graphs
Multimodal Cross-Attention Bayesian Network for Social News Emotion Recognition
Integration of Coordinate and Geometric Surface Normal for 3D Point Cloud Object Detection
Autonomous learning of a human body model
Hybrid intelligent architecture for real time processing
Exploring retrograde signaling via astrocytes as a mechanism for self repair
A Fuzzified Neural Fuzzy Inference Network that Learns from Linguistic Information
RsyGAN: Generative Adversarial Network for Recommender Systems
Fourier fuzzy neural network for clustering of objects based on the gross shape and its application to handwritten character recognition
Ensemble Validation: Selectivity has a Price, but Variety is Free
Cosmetic defect classification found in ophthalmic lenses using artificial neural networks
Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification
Fully Automatic Bayesian Neural Forecaster - NN GC1
An Improved-knowledge-distillation Based Method for Working Condition Recognition of Hot Rolling Heating Furnace in Steel Industry
NESP2: a Low Power Analog NEural Signal Processor with Analog Weight Storage
Volume-preserving Recurrent Neural Networks (VPRNN)
Incremental face recognition using rehearsal and recall processes
SpikE: spike-based embeddings for multi-relational graph data
Hybrid Neuro-Fuzzy Technique for Automated Traffic Incident Detection
Improving the accuracy of intelligent forecasting models using the Perturbation Theory
DRepT: Anomaly Detection Based on Transfer of Defect Representation with Transmittance Mask
Towards Trustworthy Dataset Distillation: A Benchmark of Privacy, Fairness and Robustness
Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique
Looking Back and Forward: Enhancing Image Captioning with Global Semantic Guidance
A Neural Network Algorithm for the Error Optimization in the Path Tracking Control of a Mobile Robot
Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques
A hierarchical model of synergistic motor control
Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning
Automatic Detection of Airway Mucus Plugs in CT Scans Using BiVariant Attention and ROI Masking
Feature selection for biometrie recognition based on electrocardiogram signals
Data-aware remaining time prediction of business process instances
A decomposition method for large-scale sparse coding in representation learning
Probabilistic Inference of the Packet Delivery Ratio in Industrial Wireless Sensor Networks
Complementary Feature Pyramid Network for Human Pose Estimation
Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies
Solar power prediction using weather type pair patterns
Multi-Object Tracking with Partial-Level Features and Adaptive Threshold Mechanism
Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier
Multi-graph Convolutional Feature Transfer for Cross-domain Recommendation
Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification
Evaluating quality of text clustering with ART1
Hybrid knowledge representation applied to the learning of the shared attention
Fault analysis of High Speed Train with DBN hierarchical ensemble
Developmental approach for interactive object discovery
STDP learning rule based on memristor with STDP property
Parallel tangent methods with variable stepsize
Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation
An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems
CellNet: An Improved Neural Architecture Search Method for Coal and Gangue Classification
Comparative study on normalization procedures for cluster analysis of gene expression datasets
AMHP-SDC: An Adaptive Semantic Meta-Graph and Hypergraph Learning Framework for Predicting Synergistic Drug Combinations
Forecasting solar power generated by grid connected PV systems using ensembles of neural networks
Angle based dynamic learning rate for gradient descent
Minibatch Processing for Speed-up and Scalability of Spiking Neural Network Simulation
Automated Deception Detection of Males and Females From Non-Verbal Facial Micro-Gestures
Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains
Single Pass Uncertainty Estimation in Q-Learning via Dropout Distillation
MastSAM: Solving Multi-view Inconsistency Segmentation by Sequence Matched 3D Coordinates
Feature ranking using supervised neural gas and informational energy
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
Continuous analogs to discrete dynamical systems with application to modeling biological response
Looking inside the ANN "black box": classifying individual neurons as outlier detectors
Multi-Involution Memory Network for Unsupervised Video Object Segmentation
Introduction to implicative fuzzy associative memories
Evolvable neural networks based on developmental models for mobile robot navigation
Autonomous Data Density based clustering method
Adaptive Sparse Graph Convolutional Mamba Network for EEG Emotion Recognition
A self-organizing two-stream model of language comprehension
On the Effectiveness of Interpretable Feedforward Neural Network
How Powerful are Decoder-Only Transformer Neural Models?
Enhanced Deep Learning Satellite-based Model for Yield Forecasting and Quality Assurance Using Metamorphic Testing
Vehicle Re-Identification by Deep Feature Embedding and Approximate Nearest Neighbors
McCann's Interpolation for Gradual Domain Adaptation on the Wasserstein Geodesic
General Fair Empirical Risk Minimization
Automatic Source Code Summarization with Extended Tree-LSTM
Optimistic bias in the assessment of high dimensional classifiers with a limited dataset
Prototypical Inception Network with Cross Branch Attention for Time Series Classification
MTSNet: Deep Probabilistic Cross-multivariate Time Series Modeling with External Factors for COVID-19
Neural Network Augmented Intelligent Iterative Learning Control for a Nonlinear System
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
Spectral clustering of high-dimensional data via Nonnegative Matrix Factorization
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor
Gaussian Prototype Rectification For Few-shot Image Recognition
Multi-scale Feature Synergistic and Semantic Complementary Network for Remote Sensing Image Object Detection
Ensemble of Tensor Train Decomposition and Quantization Methods for Deep Learning Model Compression
AttentionHCare: Advances on computer-aided medical prognosis using attention-based neural networks
POPD: Partial Occluded Pedestrian Detection Using A Multimodal Deep Learning Approach
FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms
ATT: Attention-based Timbre Transfer
WPMnet: Time Series Forecasting via Wavelet Patch Multi-Scale
A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis
Quick Browser: A Unified Model to Detect and Read Simple Object in Real-time
Efficient Learning Rate Adaptation for Convolutional Neural Network Training
Chaotic routing strategy with load-balanced effects for communication networks
An Efficient Sparse Blocks Inference Method for Image Editing Based on Diffusion Models
A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics
Generalized Pareto GAN: Generating Extremes of Distributions
FLEX-YOLO: A Feedback-Driven Lightweight and Enhanced Exchange Network for UAV Aerial Images
Evolving type-2 recurrent fuzzy neural network
ConTuner: Singing Voice Beautifying with Pitch and Expressiveness Condition
Suppression of maternal ECG from fetal ECG using neuro fuzzy logic technique
Two Kinds of Adaptation Model for General Perceptual Dynamics in Binocular Rivalry
A cognitive model coming up to epistemological claims: constructivist aspects to modeling cognition
Information Ranking Using Optimum-Path Forest
Staged Depthwise Correlation and Feature Fusion for Siamese Object Tracking
Statistical versus Distance-Based Meta-Features for Clustering Algorithm recommendation Using Meta-Learning
A hybrid feature extraction framework based on risk minimization and independence maximization
e-Learning system to support teacher's awareness for misunderstandings in quiz
Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers
On democratic evaluation of nodes representativity
Enhancing Vulnerable Class Robustness in Adversarial Machine Learning
RNN Based Photo-Resist Shape Reconstruction from Scanning Electron Microscopy
Chaotic Neural Network Reservoir
Single-trial detection of realistic images with magnetoencephalography
Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface
Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information
Non-Standard Echo State Networks for Video Door State Monitoring
Stochastic Resonance Neural Network and Its Performance
Source-free Few-shot Segmentation for Rarer Brain Tumors
An improved Potential Function Based on Target Position for Underwater Vehicles Collision Avoidance
Accuracy Evaluation of Transposed Convolution-Based Quantized Neural Networks
Transfer Ability of Monolingual Wav2vec2.0 for Low-resource Speech Recognition
Automatic Image Annotation based on Co-Training
A Chinese Document-Level Event Causality Extraction Method Based on Auto-Cot
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
GaAs/AlGaAs based multiquantum well device for learning and decision making in optical neuro-computers
PsychFM: Predicting your next gamble
QuanSIRA: The Quantitative Investment Risk Modeling in Stock Markets with Pre-trained Language Models
Dynamically Evolving Spiking Neural network for pattern recognition
A new accurate approximation for the Gaussian process classification problem
Modeling the effect of hint timing on the idea generation process
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design
Connectivity and creativity in semantic neural networks
ST-LCNet: A Dual-Stream Transformer for Interpretable EEG-Based Anxiety Diagnosis
Uncovering the EEG Temporal Representation of Low-dimensional Object Properties