yusuke1997/dblp-id-title huggingface dataset:
DAF-MFNet: A Multi-Scale Driving Assistance Detection Algorithm Based on Multi-Modal Fusion
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space
Lifting 2d Human Pose to 3d : A Weakly Supervised Approach
A review of adaptive feature extraction and classification methods for EEG-based brain-computer interfaces
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning
A novel classification method for motor imagery based on Brain-Computer Interface
Performance Comparison among Neural Decision Feedback Equalizers
High order neural networks with reduced numbers of interconnection weights
Ensemble classifier composition: Impact on feature based offline cursive character recognition
SE-FewDet: Semantic-Enhanced Feature Generation and Prediction Refinement for Few-Shot Object Detection
Deep Reinforcement Learning Based Cost-Benefit Analysis for Hospital Capacity Planning
A Neural Generation-based Conversation Model Using Fine-grained Emotion-guide Attention
Evolutionary cellular automata based approach to high-dimensional image segmentation for GPU projection
COBE: A Natural Language Code Search Robustness Benchmark
The prefrontal cortex: Categories, concepts, and executive control
Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot
A Dual Arrhythmia Classification Algorithm Based on Deep Learning and Attention Mechanism Incorporating Morphological-temporal Information
An EEG-based BCI system for 2D cursor control
Ordinal Image Segmentation using Deep Neural Networks
The Emergent-Context Emergent-Input Framework for Temporal Processing
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Particle Swarm Optimization Enhanced with Kernel Principal Component Analysis
Social Trust Network Embedding with Hash and Graphlet
Mammographic mass detection by vicinal support vector machine
Evaluating dependence in spike train metric spaces
Bi-ClueMVSNet: Learning Bidirectional Occlusion Clues for Multi-View Stereo
Online learning for collaborative filtering
EACoupledCF: An Enhanced Attention-based Coupled Collaborative Filtering Approach for Recommendation
Recursive PCA and the structure of time series
Effective Training Methods for Function Localization Neural Networks
Effects of temporal frequency on speed discrimination and perceived speed
Face recognition in unconstrained environments
Unsupervised dimensionality reduction: Overview and recent advances
SVM incremental learning, adaptation and optimization
Data Augmentation via Back-translation for Aspect Term Extraction
Multivariate time series prediction based on multiple kernel extreme learning machine
Boosting Initial Population in Multiobjective Feature Selection with Knowledge-Based Partitioning
Neuro emission controller for minimizing cyclic dispersion in spark ignition engines
Beyond correlation - closing the loop between brain and theory by extracting representations and altered feedbacks
Towards a high performance neural branch predictor
CARL: Aggregated Search with Context-Aware Module Embedding Learning
Adversarial Attacks on Deep Neural Networks for Time Series Classification
HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition
Inference of genetic networks using linear programming machines: Application of a priori knowledge
Forecasting Time Series for Electricity Consumption Data Using Dynamic Weight Ensemble Model
Time series forecasting with appetitive reward-based pseudo-outer-product fuzzy neural network
Combining neural-based regression predictors using an unbiased and normalized linear ensemble model
A Novel Cross-Fusion Method of Different Types of Features for Image Captioning
Multi-task Learning for one-class classification
Model reference multiple-degree-of-freedom adaptive control with HONUs
Incorporating invariants in Mahalanobis distance based classifiers: application to face recognition
Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method
Robust recognition based on adaptive combination of weak classifiers
A cluster analysis based on a regularization method
Flexible Kernel Selection in Multitask Support Vector Regression
Improving Relation Classification by Incorporating Dependency and Semantic Information
Global Object Proposals for Improving Multi-Sentence Video Descriptions
Two-Stage Signal Detection in High-Resolution Time-Frequency Images: Preprocessing with Computer Graphics and Refined DETR
Testing the Predictability of the Cyprus Stock Exchange: The Case of an Emerging Market
Generalized mixture representations and combinations for additive fuzzy systems
Retrieval property of associative memory with negative resistance
3DS-SLAM: Dynamic RGB-D Visual SLAM Integrating Deep Front-End and YOLOv7-Based Semantic Information
Nonlinear dimension reduction using ISOMap based on class information
A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfaction
Finite-time stability analysis of fractional order delayed memristive neural networks
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification
The prediction approach with Growing Hierarchical Self-Organizing Map
Collaborative Regularization for Bidirectional Domain Mapping
Community self-organizing map and its application to data extraction
An Improved Branch Entropy Based Method for Chinese New Words Detection
Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks
CMOS PWM VLSI Implementation of Neural Network
Training Large Language Models to Follow System Prompt with Self-Supervised Fine-tuning
Optimal watermarking scheme for breath sound
Mechanisms of pattern discrimination in the toad's visual system
A Recommender System Approach for Predicting Drug Side Effects
Reliability measures for Hebbian-type associative memories with faulty interconnections
Multimodal Sentiment Analysis via Low-Rank Tensor Attention Network with Unimodal Self-Supervised Learning
General regression artificial neural networks for two-phase flow regime identification
A Bayesian approach to Expert Gate Incremental Learning
Optimal Bayesian classification in nonstationary streaming environments
When Fundamental Rights Meet Artificial Intelligence: an Extended Framework for Impact Assessment in the Age of Generative AI
Convolutional sparse coding on neurosynaptic cognitive system
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks
Community structure analysis using label propagation and flow-based ensemble learning
SRAGAN: Generating Colour Landscape Photograph from Sketch
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks
Improving novelty detection in short time series through RBF-DDA parameter adjustment
Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments
Spatio-Temporal Dynamically Fused Graph Convolutional Network
Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
Backchannel Detection and Agreement Estimation from Video with Transformer Networks
An optimization neural network model with lossy dynamics and time-varying activation functions
Unsupervised up-to-bottom hierarchical clustering elastic net algorithm for TSP
Cognitive computation: A case study in cognitive control of autonomous systems and some future directions
Loss Surface Modality of Feed-Forward Neural Network Architectures
Kernel relevant component analysis for distance metric learning
Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck
Encoding real values into polychronous spiking networks
Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments
Incremental Gain Analysis of Chaotic Recurrent Neural Network and Applications in Pattern Association
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA
On effects of IP improvement of ESN reservoirs for reflecting of data structure
Artificial Neural Networks and Robustness Analysis in Landslide Susceptibility Zonation
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Document-level Overlapping Event Extraction via ChatGPT Leading Decision and Cross-Sentence Entity Representation Enhancements
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation
Controlling Chaos in Chaotic Bidirectional Associative Memories
A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition
Exploring the Correlation Between Random Convolutional Architectures and the Trained Equivalent
Financial time series prediction using exogenous series and combined neural networks
Graph-based Multi-view Learning for Cooperative Spectrum Sensing
Inferring Protein Interactions from Sequence using Support Vector Machine
Speciation and diversity balance for Genetic Algorithms and application to structural neural network learning
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation
Silicon compiler for neuro-ASICs
NARX Neural Networks for Dynamical Modelling of fMRI Data
Parallel Evolutionary Algorithms with SOM-Like Migration and its Application to VLSI-Design
Probabilistic neural network classification for microarraydata
Adaptable Weighted Voting Fusion for Multi-modality-based Action Recognition
Ontology-based Interpretable Machine Learning for Textual Data
A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems
Spatial to temporal conversion of images using a pulse-coupled neural network
A digital neural network architecture for VLSI
AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network
Classification of blurred textures using multilayer neural network based on multi-valued neurons
Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms
Enhancing the Explainability of Neuro-Fuzzy Systems with Large Language Models: A Case Study on EEG-Based Epileptic Seizure Classification
A Novel Stochastic Stratified Average Gradient Method: Convergence Rate and Its Complexity
Improving Multi-Category Sentiment Classification by Semantic Dual-Granularity and Syntax-Path Encoding
RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization
Which model to use for the Liquid State Machine?
Image reconstruction via statistical classification for magnetic induction tomography
Classification of Hand Movements from EMG Signals using Optimized MLP
Sequential relevance vector machine learning from time series
Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources
Rhythmic component extraction considering phase alignment and the application to motor imagery-based brain computer interfacing
One-Class SVM based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants
Spatial Dual Feature Aggregation Network for Lightweight Image Super-Resolution
Application of techniques of computational intelligence for constructing reliable decision support systems
Characterization of data complexity for SVM methods
Unsupervised Learning using Pretrained CNN and Associative Memory Bank
Stability of Hopfield neural networks with event-triggered feedbacks
Effective Automated Feature Derivation via Reinforcement Learning for Microcredit Default Prediction
Evolving flexible beta basis function neural tree for nonlinear systems
Stable fourier neural networks with application to modeling lettuce growth
Hand Acupoint Detection from Images Based on Improved HRNet
Domain Adaptation with Optimal Transport for Extended Variable Space
Feature selection: a neural approach
Identifying and Diagnosing Students with Learning Disabilities using ANN and SVM
A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning
A non-feedback neuron filter algorithm for separated board-level routing problems in FPGA-based logic emulation systems
GADGET: Using Gated GRU for Biomedical Event Trigger Detection
A new supervised local modelling classifier based on information theory
Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines
Classification Analysis of Surface-enhanced Laser Desorption/Ionization Mass Spectral Serum Profiles for Prostate Cancer
Korean Brain Neuroinformatics Research Program: the 3rd phase. From biology to artificial systems through mathematical model
The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Solution
Edge Deployable Online Domain Adaptation for Underwater Object Detection
Bacteria shape classification by the use of region covariance and Convolutional Neural Network
BF-UNet: A Brain Function-Inspired Model with Memory Mechanism for Medical Segmentation
Robust mixture modeling using the Pearson type VII distribution
Algorithms of fast SVM evaluation based on subspace projection
Characterization and modeling of a grid-connected photovoltaic system using a Recurrent Neural Network
A computational model of adults' performance in naming objects using cross-situational learning
Model Accuracy of the IDS Method for Three-input Systems and a Basic Constructive Algorithm for Structural Optimization
Neural network based controllers for a single-degree-of-freedom robotic arm
A Spiking Neural Network Learning Markov Chain
Enhancing Question Answering over Knowledge Base Using Dynamical Relation Reasoning
Transfer Entropy Based Connectivity Estimation of Spontaneously Firing Hippocampal Cultures on Multi Electrode Arrays
The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff
Neural Plasticity Networks
Co-training using RBF Nets and Different Feature Splits
Adaptive Advantage Estimation for Actor-Critic Algorithms
A Flexibility Index for Analysis of Bio-molecular Complexes
Real-Time Class-Incremental Learning for Voice Command Recognition via Adaptive oiSGNG
Audio DistilBERT: A Distilled Audio BERT for Speech Representation Learning
Density Transformer for Unsupervised Time Series Anomaly Detection in Cloud Computing
How reliable is the Environmental Sustainability Index 2005?
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems
Crowd Counting in Large Surveillance Areas by Fusing Audio and WiFi Sniffing Data
A New ANN-Markov chain methodology for water quality prediction
A Biologically Plausible Neuron Circuit
Prototype Completion With Knowledge Distillation and Gate Recurrent Unit for Few-Shot Classification
Predictive neural fields for improved tracking and attentional properties
MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques
Novel Applications for VAE-based Anomaly Detection Systems
Augmented Echo State Networks with a feature layer and a nonlinear readout
Modal Neural Network: Robust Deep Learning with Mode Loss Function
Autoencoder Reconstruction Model for Long-Horizon Exploration
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment
Logistics SLA optimization service for transportation in smart cities
Bayesian Optimization with Particle Swarm
BS-pFL: Enabling Low-Cost Personalized Federated Learning by Exploring Weight Gradient Sparsity
Multi-modal Multi-layer Graph Neural Network for early diagnosis of Alzheimer's Disease
Aggregation of Time Series Forecasts via Cacoullos Copula
Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures
Fast linear stationary methods for automatically biased support vector machines
Vision-and-Dialog Navigation by Fusing Cross-modal features
Constructing Symbols as Manipulable Structures by Recurrent Networks
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
Towards Sharper Risk Bounds for Agnostic Multi-objective Learning
SENSE: a Student Performance Quantifier using Sentiment Analysis
Synthesis of a k-winners-take-all neural network using linear programming with bounded variables
Investigation of complex dynamics in a recurrent neural network with network community structure and asymmetric weight matrix
Generating Relevant Article Comments via Variational Multi-Layer Fusion
Optimization of Binary-Output CNNs: First Step of an Analytical Design Process
A Neural Network Toolbox for Electricity Consumption Forecasting
Driving Cooperation in Federated Learning via Evolutionary Game Theory
Sparse Versions of Optimized Centroids
Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions
De-redundancy Relative Discrimination Criterion-based Feature Selection for Text Data
Exact Interpolation and Learning in Quadratic Neural Networks
An adaptive kernel width update for correntropy
People Recognition and Pose Estimation in Image Sequences
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation
Controlling simple structural information to improve generalization performance
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications
Retraining Quantized Neural Network Models with Unlabeled Data
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates
Training with heterogeneous data
Space-varying cellular neural networks designed by Hopfield neural network
Image registration with artificial neural networks using spatial and frequency features
A Dynamic Multi-criteria Multi-engine Approach for Text Simplification
Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach
Modelling the development of fluid dispensing for electronic packaging: Hybrid Particle Swarm Optimization based-wavelet neural network approach
The evolution of a generalized neural learning rule
Self-Supervised Time Series Classification Method Based on FRFT Cross-Channel Fusion
Uncertainty sampling methods for selecting datasets in active meta-learning
Growing Self-organizing Trees for knowledge discovery from data
A conceptual neural model of idea generation
Application of PSO-GA&CGA in Sea-Clutter Doppler Spectrum Modeling
Fast and robust stochastic segment model for Mandarin digital string recognition
The generative Adaptive Subspace Self-Organizing Map
Non-parametric Hidden Conditional Random Fields for action classification
Real time gesture recognition system using posture classifier and Jordan recurrent neural network
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation
Neurobiological challenge on visually attentive navigation: Who triggers the development of hippocampal Place Fields? Who responds for the appearance of motivational status to navigate?
The neuronal substrate underlying order and interval representations in sequential tasks: A biologically based robot study
Robust adaptive control via neural linearization and four types of compensation
Feature subset selection for support vector machines using confident margin
Planning and Learning using Adaptive Entropy Tree Search
MLP Neural Network Aided Power Plant Controller to Mitigate Oscillations in Renewable Energy Plant
Compressing VG-RAM WNN memory for lightweight applications
Unsupervising adaption neural-network control
Feature subset selection in a methodology for training and improving artificial neural network weights and connections
Neural network identification of a double fed induction generator prototype
FedFAS: Federated Few-shot Abdominal Organs Segmentation across Heterogeneous Clients
MLFF: A Object Detector based on a Multi-Layer Feature Fusion
OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering
Empirical modeling of vehicle fuel economy based on historical data
PREF: A Personalized Retrieval-Evolution Framework for Enhancing Large Language Models on General Text Tasks
YOLO-GSW: A Lightweight Multi-Granularity Fruit Detection Algorithm for Complex Life Scenarios
Study of digital learning circuit for odor sensing system using 1-bit data stream signal processing circuit
Toward a causal topic model for video scene analysis
Reinforcement Learning Based Collaborative Inference and Task Offloading Optimization for Cloud-Edge-End Systems
Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Intensity-invariant color image segmentation using MPC algorithm
Exploiting Randomness in Deep Learning Algorithms
The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences
LSvT: EEG Channel Localization and Selection via Training for BCI Applications
Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems
Multi-task and continual-learning capabilities of reservoir computing applied to speech recognition
E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders
A streaming ensemble classifier with multi-class imbalance learning for activity recognition
A behavioral model of sensory alignment in the superficial and deep layers of the superior colliculus
Cerebellar spiking engine: Towards objet model abstraction in manipulation
Semantic Hierarchy-based Convolutional Neural Networks for Image Classification
Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning
A neural network for learning domain rules with precision
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions
Application of the Levenberg-Marquardt method to the training of spiking neural networks
Discrete-time polynomial fuzzy observer designs via a sum of squares approach
Augmented Spatial Context Fusion Network for Scene Graph Generation
Data mining for building neural protein sequence classification systems with improved performance
On Improving Efficiency of SLIQ Decision Tree Algorithm
A combinative function approximation model and its applications to electronic noses
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision
Locality linear fitting one-class SVM with low-rank constraints for outlier detection
MPFormer: Multi-Prior Transformer for Vision-based Scene Understanding in Autonomous Driving
The application of Evolutionary Neural Network for bat echolocation calls recognition
DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy
RNN Encoder-Decoder for the inference of regular human mobility patterns
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning
Comparison of Distance metrics for hierarchical data in medical databases
Knowledge-Based Multi-Spectral Pixel Level Fusion for Surveillance
A simplified swarm optimization for object tracking
Integrated Optimization Method of Hidden Parameters in Incremental Extreme Learning Machine
Rescaling the Energy Function in Hopfield Networks
Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers
Remember the Past for Better Future: Memory-Augmented Offline RL
Process Model Modularization by Subprocess Discovery
CotexFinger: Enhancing IoT Device Identification with Context-Packet Fingerprinting and Lightweight Mamba
Correlation detection with firing rate estimation based on temporal coincidence coding