yusuke1997/dblp-id-title huggingface dataset:
Design of support vector machine by adaptive aggregation
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design
Active learning for the prediction of phosphorylation sites
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching
Face identification system using single hidden Markov model and single sample image per person
Robust image representation and decomposition by Laplacian regularized latent low-rank representation
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation
Teaching UML using a RAG-based LLM
Modeling Logical Content and Pattern Information for Contextual Reasoning
H 2 D-Net: High-resolution Guided Hierarchical Discriminative Network for Infrared Small Target Detection
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Corruption-Agnostic Sign Language Translation
Enhancing multi-label classification based on local label constraints and classifier chains
Text-To-Text Generative Adversarial Networks
VisTAD: A Vision Transformer Pipeline for the Classification of Alzheimer's Disease
DGR: Decomposition Graph Reconstruction for Question Understanding
Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces
Embedded event based object detection with spiking neural network
A comparative study of classification methods for gesture recognition using a 3-axis accelerometer
Causal Feature-Enhanced Collaborative Filtering Algorithm
Multi-modal Remote Sensing Image Classification for Low Sample Size Data
Dual Adjacency Graph Convolutional Network Combined with Reinforcement Learning for Human Skeleton Action Recognition
SCIRNet: Skeleton-based cattle interaction recognition network with inter-body graph and semantic priority
Robust Training of Vector Quantized Bottleneck Models
Benchmarking reservoir computing on time-independent classification tasks
Multiple Stock Time Series Jointly Forecasting with Multi-Task Learning
Bidirectional Variational Autoencoders
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
Personalized Federated Learning Based on Fine-grained Subgraphs
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Stability of Equilibrium Points and Storage Capacity of Hopfield Neural Networks with Higher Order Nonlinearity
Dissolved oxygen control system based on the T-S fuzzy neural network
Connective prediction using machine learning for implicit discourse relation classification
Modelling emotional attachment: An integrative framework for architectures and scenarios
A growing self-organizing network for reconstructing curves and surfaces
Localization and Elimination: Object Detection Physical Patch Defense Based on Adversarial Patch Characterization
Cauchy machine for blind inversion in linear space-variant imaging
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
A Clustering Method of Chromosome Fluorescence Profiles Using Modified Self Organizing Map Controlled by Simulated Annealing
Recognizing cross-lingual textual entailment with co-training using similarity and difference views
A telecommunications call volume forecasting system based on a recurrent fuzzy neural network
Random neural network decoder for error correcting codes
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
Classroom Action Recognition Based on Graph Convolutional Neural Networks and Contrast Learning
A Dynamic-Attention on Crowd Region with Physical Optical Flow Features for Crowd Counting
Mathematical justification of recurrent neural networks with long and short-term memories
Object recognition using neural networks and surface signatures
Online Feature Learning from a non-i.i.d. Stream in a Neuromorphic System with Synaptic Competition
Enhancing Music Recommendation with Social Media Content: an Attentive Multimodal Autoencoder Approach
Missing sensor data restoration for vibration sensors on a jet aircraft engine
A novel mixed pixels unmixing method for multispectral images
A Federated Deep Learning Framework for 3D Brain MRI Images
The reactive touch model: determining which way to move to avoid touching
RKDCSE : Relational Knowledge Distillation For Sentence Representation Learning
Autoregressive model of the hippocampal representation of events
Adaptive critic designs and their implementations on different neural network architectures
Using Semantic Clustering And Autoencoders For Detecting Novelty In Corpora Of Short Texts
Data-Driven Randomized Learning of Feedforward Neural Networks
On the Influence of the Color Model for Image Boundary Detection Algorithms based on Convolutional Neural Networks
Heterogeneous wireless networked control systems based on modify Smith predictor and CMAC-PID control
YOLO-Xweld: Efficiently Detecting Pipeline Welding Defects in X-Ray Images for Constrained Environments
Stream Clustering Robust to Concept Drift
Neural net with two hidden layers for non-linear blind source separation
Absorb What You Need: Accelerating Exploration via Valuable Knowledge Extraction
Multimodal enhanced Explainable Recommendation with Contrastive Learning
Artificial neural network computation on graphic process unit
Neural-Network Model for Linear MHD Stability Analysis of Tokamak Edge Pedestals
The psychology of word recognition
An on-line algorithm for dynamic reinforcement learning and planning in reactive environments
Clustering based active learning for biomedical Named Entity Recognition
DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
Recurrent Layer Aggregation using LSTM
Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior
Neural Network Based License Plate Recognition System
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model
Mixed Policy-Space Response Oracles
PromptMetric: Prompt Recipe as an Automatic Metric for Evaluating Open-domain Question Answering Systems
Visualizing Time Series Data with Temporal Matching Based t-SNE
On variable sizes and sigmoid activation functions of multilayer perceptrons
Knowledge-internalization process for neural-networks practitioners
BP-WaveNet: A Multi-Scale Attention Mechanism for Continuous Blood Pressure Prediction
LDCFormer: A Lightweight Approach to Spectral Channel Image Recognition
A self-organizing network with fuzzy hyperellipsoidal classifying and its application in handwritten numeral recognition
O (m log m) instance selection algorithms - RR-DROPs
An infinite classification RBM model for radar HRRP recognition
Clustering analysis of the electrical load in european countries
Log-Demons with driving force for large deformation image registration
Generalizing Independent Component Analysis for Two Related Data Sets
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
Incremental learning for linear fusion of handwritten Chinese character classifiers
Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks
The Interval Estimation of Parameters for Back-Propagation Network to Flood Discharge Forecasting
An improved geometric Radial Basis function Network for Hand-Eye Calibration
Algebraic independent component analysis: an approach for separation of overcomplete speech mixtures
A sequential simplex algorithm for automatic data and center selecting radial basis functions
High-Precision Fabric Defect Detection via Adaptive Shape Convolutions and Large Kernel Spatial Modeling
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model
Mitigation of catastrophic forgetting in recurrent neural networks using a Fixed Expansion Layer
Fine-Grained Depth Knowledge Distillation for Cloth-Changing Person Re-identification
Adversarial learning games with deep learning models
Dimensionality Reduction and Attack Recognition using Neural Network Approaches
Active learning system for object fingerprinting
Geometric Deep Learning for Essential Tremor Screening Using OCT-Derived 3D Point Clouds
Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization
A Cell Assembly Model of Sequential Memory
Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
Neural Field: Supervised apportioned incremental learning (SAIL)
Biasing the overlapping and non-overlapping sub-windows of EEG recording
A study on CPG model transition swing and stance pattern with interstitial cells
A Neural Network Approach to Predict Existing and Infill Oil Well Performance
Approximate dynamic programming based optimal neurocontrol synthesis of a chemical reactor process using proper orthogonal decomposition
Automated classification of dopaminergic neurons in the rodent brain
MobileNet-Light: A Lightweight TCT Image Classification Model for Cervical Cancer
Minimally Supervised Regression using Topological Projections in Self-Organizing Maps
Pose-invariant recognition of faces at unknown aspect views
Computational paradigms using oscillatory networks based on state-transition devices
A convergence rate estimate for the SVM decomposition method
SNT: Explore transformers for more efficient pollen classification
Analysis and optimization of the 13 C octanoic acid breath test
NouMenn: Accurate Reconstructive Privacy Protection for Facial Soft Attributes via Style Code
Order Formation in Learning Nonlinear Robust Control Systems by Use of Neural Networks
Utilization of Neural Networks & GAs for Constructing Reliable Decision Support Systems to Deal Stocks
Locally linear representation Fisher criterion
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
Efficiency-Optimized Point Cloud Upsampling with Single-Layer Graph Convolution Network
CART data analysis to attain interpretability in a Fuzzy Logic Classifier
Interpretable Goal Recognition for Path Planning with ART Networks
Aligning multiple protein sequence by an improved genetic algorithm
Deep neural network using trainable activation functions
Learning Low-Rank Representations for Model Compression
Predicting polarization state based on quaternion neural networks to facilitate channel prediction
A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets
Kernel-based distance metric learning in the output space
A survey of perceptron circuit complexity results
Efficient Multi-Task Scene Analysis with RGB-D Transformers
Selectively optimized networks for automatic clutter rejection
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia
Evolving and Ensembling Deep CNN Architectures for Image Classification
Estimating signal-adapted wavelets using sparseness criteria
Resource constrained design of artificial neural networks
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations
Three Convolutional Neural Network-based models for learning Sentiment Word Vectors towards sentiment analysis
Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image
Adaptively Joint Pixel-wise Semantic Correlation in Surface Normal Estimation
Emotion-Guided Music Accompaniment Generation Based on Variational Autoencoder
Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder
A variable-MDAV-based partitioning strategy to continuous multivariate microaggregation with genetic algorithms
Use of a FIS for low cost student presence detector in e-learning 2.0
Long-Range Interaction Analysis using Principal Component Analysis
An optimized backpropagation with minimum norm weights
Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks
A modular mixed-signal CVNS neural network architecture
Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems
Robust greedy deep dictionary learning for ECG arrhythmia classification
Time Series Domain Adaptation via Multiscale Feature Extraction and Mix-up
Probabilistic Relational Models with clustering uncertainty
Learning with hidden targets
Towards interpretable classifiers with blind signal separation
Leaning of neural networks using extended genetic algorithm with neutral mutation-application to ill-posed medical diagnostic system [for leaning read learning]
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search
Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA)
FedCSG - a Novel Federated Continual Graph Learning Framework for Resource-limited Devices
Analysis of inner structure of VSF-Network
An ANN based automatic hyperspectral image processing system with adaptive dimensionality reduction
Triple Consistency-based Self-ensembling Model for Unsupervised Domain Adaption in Medical Image Segmentation
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
PFED-AGG: A Personalized Private Federated Learning Aggregation Algorithm
Almost Linear Biobasis Function Neural Networks
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series
Multi-scale Weight-residual Transformer for Uniand Multi-modal Representation Learning
Cropout: A General Mechanism for Reducing Overfitting on Convolutional Neural Networks
Online neuro-identification of nonlinear systems using Extreme Learning Machine
Halveformer: A Novel Architecture Combined with Linear Models for Long Sequences Time Series Forecasting
The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations
Hybrid Focal and Full-Range Attention Based Graph Transformers
A novel fast learning algorithms for time-delay neural networks
Improving the Convergence of Backpropagation by Opposite Transfer Functions
BiLSTM Embedding Pretraining for Relation Extraction
An adjustable memristor model and its application in small-world neural networks
A methodology to train and improve artificial neural networks' weights and connections
Online Virtual Training in Soft Actor-Critic for Autonomous Driving
Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions
Local radial basis function network regressor with feature importance optimization
Regulated Message Passing for Graphs with Mixed Local Attribute Patterns
Maneuver segmentation for autonomous parking based on ensemble learning
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption
Adaptive Graph Convolutional Networks based on Decouple and Residuals to relieve Over-Smoothing
Stochastic and asynchronous spiking dynamic neural fields
Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems
Autonomous Deep Quality Monitoring in Streaming Environments
Classification error as a measure of gene relevance in cancer diagnosis
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
Realight-NeRF: Modeling Realistic Lighting and Optimizing Environment Light Capture in Scenes
Integrating Semi-Supervised Learning and Ensemble Deep Learning for Low-resource Deep Knowledge Tracing
Complex-valued multilayer perceptron learning using singular regions and search pruning
Evolving Collective Robot Swarm Behavior in Neuromorphic Systems
Motion sickness estimation system
Topological Evolution of Spiking Neural Networks
Sample Condensation in Online Continual Learning
Time-aware Neural Trip Planning Reinforced by Human Mobility
Fed-CLIDS: Network intrusion detection system based on federated meta-continuous learning
Deep Transfer Collaborative Filtering with Geometric Structure Preservation for Cross-Domain Recommendation
CTGGAN: Reliable Fetal Heart Rate Signal Generation Using GANs
VAE-BRIDGE: Variational Autoencoder Filter for Bayesian Ridge Imputation of Missing Data
Improved second-order training algorithms for globally and partially recurrent neural networks
PSAIR: A Neuro-Symbolic Approach to Zero-Shot Visual Grounding
Spatial alignment of scalp EEG activity during cognitive tasks
CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators
Dual-Branch Knowledge Enhancement Network with Vision-Language Model for Human-Object Interaction Detection
BERT-FKGC: Text-Enhanced Few-Shot Representation Learning for Knowledge Graphs
Meaning creation and communication in a community of agents
End-to-end learning of brain tissue segmentation from imperfect labeling
Recurrent lateral inhibitory spiking networks for speech enhancement
An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning
Disentangled-based Adversarial Network for Multiplex Network Embedding
Improved security of neural cryptography using don't-trust-my-partner and error prediction
A dual-phase technique for pruning constructive networks
Supernovae detection by using convolutional neural networks
PADriver: Towards Personalized Autonomous Driving
Bayesian neural networks for nonlinear multivariate manufacturing process monitoring
Underwater Fish Detection with Weak Multi-Domain Supervision
Hierarchical SOM-based detection of novel behavior for 3D human tracking
Probabilistic Neural Network - parameters adjustment in classification task
Learning to link human objects in videos and advertisements with clothes retrieval
Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network
Using support vector machines in optimization for black-box objective functions
Distant Supervised Why-Question Generation with Passage Self-Matching Attention
Inductive learning of skin lesion images for early diagnosis of melanoma
An Answer FeedBack Network for Visual Question Answering
A Light-weighted One-stage Framework for Speech Enhancement
A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets
A convolutional neural network approach for acoustic scene classification
Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing
A neural network approach to first break picking
Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis
Home energy management benefits evaluation through fuzzy logic consumptions simulator
Machine learning models to search relevant genetic signatures in clinical context
A Method based on Convolutional Neural Networks for Fingerprint Segmentation
MetaSID: Singer Identification with Domain Adaptation for Metaverse
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
Bounds for off-policy prediction in reinforcement learning
Handling Pedestrians in Crosswalks Using Deep Neural Networks in the IARA Autonomous Car
Multilevel Temporal-Spectral Fusion Network for Multivariate Time Series Classification
A non-parametric approach for learning from crowds
Probabilistic Margin-Aware Multi-Label Feature Selection by Preserving Spatial Consistency
A connectionist approach to multiple-view based 3-D object recognition
TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection
Use of a Neural Network to Identify Man-made Structure in Millimeter-Wave Images for Security Screening Applications
Modeling higher level processing functions inherent to the human brain
Deep Categorization with Semi-Supervised Self-Organizing Maps
Alleviating overfitting for polysemous words for word representation estimation using lexicons
Neural network data clustering on the basis of scale invariant entropy
Incremental learning in dynamic environments using neural network with long-term memory
Using Neural Networks with Automatic Relevance Determination to Identify Regions of the Thalamus Implicated in Schizophrenia
Weakening Prediction Confidence Makes Backdoors Strengthened: A Strong Textual Backdoor Attack on Prefix-tuning
Traffic Sign Small Object Detection Algorithm Based on Lightweight Structure Design
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions
Deep Learning based Automatic Modulation Classification Exploiting the Frequency and Spatiotemporal Domain of Signals
TIFTrack: Visual Object Tracking by Target Trajectory and Inter Frame Relationship
Few-Shot Knowledge Graph Entity Typing with Enhanced Neighbor
MMF: Attribute Interpretable Collaborative Filtering
Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System
NormAD - Normalized Approximate Descent based supervised learning rule for spiking neurons
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift
Towards the Learning of Weighted Multi-label Associative Classifiers
FEBAMSOM-BAM ∗ : Neural network model of human categorization of the N-bits parity problem
Neural network based secure media access control protocol for wireless sensor networks
Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic
A neural network based approach to support the Market Making strategies in High-Frequency Trading
Data-Brain driven multi-aspect mining process planning
Hair Editing with Two-Phase Image Reconstruction
Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting
2ST-UNet: 2-Stage Training Model using U-Net for Pneumothorax Segmentation in Chest X-Rays
Multi-hop Question Answering with Knowledge Graph Embedding in a Similar Semantic Space
Annealing Attention Networks for User Feature-Based Rumor Early Detection on Weibo
Moving towards accurate monitoring and prediction of gold mine underground dam levels
Discovering hierarchical speech features using convolutional non-negative matrix factorization
The unbalancing effect of hubs on K-medoids clustering in high-dimensional spaces
Fast training of multilayer perceptrons with a mixed norm algorithm
Sound Event Detection with Depthwise Separable and Dilated Convolutions
SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations
Refining constructive neural networks using functionally expanded input data
Learn and Visually Explain Deep Fair Models: an Application to Face Recognition
Multi-Scale Spatial Transformer Network for LiDAR-Camera 3D Object Detection
A differential evolution-based method for class-imbalanced cost-sensitive learning
Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning
Modelling the connectivity between terms in the neuroscience literature
The random subspace coarse coding scheme for real-valued vectors
Towards robust flood forecasts using neural networks
Forecasting Using First-Order Difference of Time Series and Bagging of Competitive Associative Nets
Are Coverage Criteria Meaningful Metrics for DNNs?
A new geometric recurrent neural network based on radial basis function and Elman models
Adaptive Sparse Self-attention for Object Detection
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
Comparison of fuzzy and neural truck backer-upper control systems
Short Term Load Forecasting using Echo State Networks
Optimal dimension reduction for image retrieval with correlation metrics
Dynamic construction of fault tolerant multi-layer neural networks
ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks
Universal computation by networks of model cortical columns
A generic approach for learning performance assessment functions
Robust Universum Twin Support Vector Machine for Imbalanced Data
An extended fuzzy local information C-means clustering algorithm
Are Traditional Neural Networks Well-Calibrated?