yusuke1997/dblp-id-title huggingface dataset:
Classroom Behavior Recognition Model for Elementary and Middle School Students Based on Improved YOLOPose and Feature Fusion
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue *
Predicting Human-Object Interactions in Egocentric Videos
Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations
Robot planning by cooperation of Hopfield networks - A case of Warehouse Keeper Puzzle (sokoban) -
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns
Comparison between entropy net and decision tree classifiers
Application of deep belief networks in eeg-based dynamic music-emotion recognition
Quantum-Inspired Complex-Valued Multidirectional Associative Memory
Grid Computing Solutions for Artificial Neural Network-based Electricity Market Forecasts
An improved multi-label classification based on label ranking and delicate boundary SVM
Improved learning in grid-to-grid neural network via clustering
PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation
Low- and high- agressive genetic breast cancer subtypes and significant survival gene signatures
Unsupervised Defect Detection in Automotive Quality Inspection with Convolutional Autoencoder
A Study of Emergency Department Patient Admittance Predictors
Indirect field-oriented linear induction motor drive with Petri fuzzy-neural-network control
Open Knowledge Graph Link Prediction with Segmented Embedding
Neural Modeling Fields for Multitarget/Multisensor Tracking
CS-DAViT: Cross-Scale Vision Transformer with Dual Attention for Efficient Emotion Recognition
Techniques for Training Sets Selection in the Representation of a Thermosiphon System Via ANN
Zero-Shot Object Detection for Indoor Robots
S2N: A Synthetic Data-Driven Approach for Speaker-To-Dialogue Attribution in Novels
Cold Start Point-of-Interest Representation Learning with Conditional Diffusion Model
Valence and Arousal Analysis Base on Multimodal Feature Extraction in Video of Streaming Platform
Adaptation in Neural Activity for Directional Control
About analysis and robust classification of searchlight fMRI-data using machine learning classifiers
ConceptVQ: Visual Model Interpreter
A Neural Network Model for the Decision-Making Process Based on ANP
Recurrent neural networks inspired by artificial immune algorithm for time series prediction
Double Attention for Pathology Image Diagnosis Network with Visual Interpretability
Accurate prediction of error in Haplotype Inference methods through neural networks
Maximum capacity topologies for fully connected layered neural networks with bidirectional connections
TurSOM: A Turing inspired Self-Organizing Map
FocalNet - Foveal Attention for Post-processing DNN Outputs
Global and Local CNN Attention Mechanisms for Video Summarization
Contact personalization using a score understanding method
Local overlap reduction procedure for dynamic ensemble selection
Fuzzy Graph Neural Network for Few-Shot Learning
Anomaly Removal for Vehicle Energy Consumption in Federated Learning
Precise 2D point set registration using iterative closest algorithm and correntropy
Soft-constrained nonnegative matrix factorization via normalization
Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets
HRL2E: Hierarchical Reinforcement Learning with Low-level Ensemble
A comparative analysis of multi-backbone Mask R-CNN for surgical tools detection
A neurofeedback training paradigm for motor imagery based Brain-Computer Interface
Towards Intelligent Control via Genetic Programming
Similarity-based Multi-label Learning
DLEP: A Deep Learning Model for Earthquake Prediction
An adaptive neural network approach to hypertext clustering
Maximum and Leaky Maximum Propagation
Deep Stochastic Configuration Networks with Universal Approximation Property
Class document frequency as a learned feature for text categorization
A novel chromosome instance segmentation method based on geometry and deep learning
GCL-Vid: Efficient Video Foundation Model via Generative and Contrastive Encoding with LLMs
Concept Drift Detection via Boundary Shrinking
Apply decision tree and support vector regression to predict the gold price
Support Vector Regression of multiple predictive models of downward short-wave radiation
Comparative studies of power grid security with network connectivity and power flow information using unsupervised learning
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences
A computational basal ganglia model to assess the role of STN-DBS on Impulsivity in Parkinson's disease
Q-learning with exploration driven by internal dynamics in chaotic neural network
MIMO beam-forming with neural network channel prediction trained by a novel PSO-EA-DEPSO algorithm
Selective and Delayed Adaptations of Human Saccades
T-Agent: A Term-Aware Agent for Medical Dialogue Generation
Adaptive Consensus Optimization Method for GANs
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
CA-SSD: Channel-Independent Rare Class Attention for 3D Object Detection
Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy
Genome space and structure genome invariants
Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation
Enhancing Data-Free Model Stealing Attack on Robust Models
Web Host Access Tool: A Support Vector Machine Approach
Temporal Inconsistency-Based Intrinsic Reward for Multi-Agent Reinforcement Learning
Unsupervised Hebbian Learning on Point Sets in StarCraft II
A fuzzy-Bayesian approach to image expansion
Incremental decision tree based on order statistics
An Evolutionary Approach to Data Classification - Hybrid Real-Coded Genetic Algorithm with Pruning
Diffusion-Guided Domain-Adaptive Segmentation with Structure-Aware Learning via Retinal Image Noise Conditioning
Blind equalization Using nu- support vector regressor for constant modulus signals
Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting
Mental saccades in control of cognitive process
Coupled market behavior based financial crisis detection
Multi-resolution time-series prediction using fuzzy inductive reasoning
JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata
Towards computer vision based ancient coin recognition in the wild - Automatic reliable image preprocessing and normalization
Short-term Prediction of Hyperchaotic Flow Using Echo State Network
Large margin linear discriminative visualization by Matrix Relevance Learning
K-Random Forests: a K-means style algorithm for Random Forest clustering
An Application of Convolutional Neural Networks for the Early Detection of Late-onset Neonatal Sepsis
YOLOv3 Precision Improvement by the Weighted Centers of Confidence Selection
Large scale semi-supervised learning using KSC based model
Soft-Label Dataset Distillation and Text Dataset Distillation
The use of artificial neural networks to diagnose mastitis in dairy cattle
Temporally Consistent Unpaired Multi-domain Video Translation by Contrastive Learning
Towards Automatic EEG Signal Denoising by Quality Metric Optimization
Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis
l1 Regularization Based Random Vector Functional Link Network for Alzheimer's Disease Diagnosis
Black-Box Saliency Map Generation Using Bayesian Optimisation
MM-DOS: A Novel Dataset Of Workout Activities
SIRENS: A Simple Reconfigurable Neural Hardware Structure for artificial neural network implementations
A new ensemble method for multi-label data stream classification in non-stationary environment
On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
An efficient recognition algorithm for restricted bayesian networks
Combination of online Clustering and Q-value based genetic reinforcement learning for fuzzy network design
A direct adaptive neural control for MIMO nonlinear systems with output delays
Associative memories for handwritten pattern recognition
Neural networks for sensor fusion in remote sensing
Adaptive Estimation for Spectral-Temporal Characterization of Energetic Transient Events
Efficient SVM training with reduced weighted samples
Loss function for blind source separation-minimum entropy criterion and its generalized anti-Hebbian rules
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
A Fast Heterogeneous Information Network Embedding Framework
Music Artist Classification with Convolutional Recurrent Neural Networks
Generalization Performance of Multiclass Discriminant Models
Intrusion detection using a cascade of boosted classifiers (CBC)
A study of a divided learning method
MGDTSI: A Multiple Guidance Distillation-Based Model For Time Series Imputation
A neural model of demyelination of the mouse spinal cord
Kernel based principal component for recognizing handwritten numbers
Preliminary studies on parameter aided EKF-CRTRL equalizer training for fast fading channels
An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection
Biometric Palmprint identification via efficient texture features fusion
Crowd Flow Forecasting with Multi-Graph Neural Networks
Transforming sensor data to the image domain for deep learning - An application to footstep detection
Reinforcement Learning with a Gaussian mixture model
Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition
Learning Energy-Based Models for 3D Human Pose Estimation
PBFE-DAN:Personal Biological Feature Enhanced Domain Adaptation Network for Cross-Session Brainprint Recognition
Tactile-Visual Class-Continual Learning via Temporal Attention Interaction
Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction
Biologically Motivated Face Selective Attention System
Road Pollution Estimation Using Static Cameras And Neural Networks
Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines
Molecular Classification Using Hyperdimensional Graph Classification
Validation of neural networks using hybrid resampling methods
An Integrated Scheme of Image Encryption and Steganography Based on the Improved 2D-CLSHS Chaotic System
Large-scale gradient-based training of Mixtures of Factor Analyzers
Optimizing Alzheimer's Disease Diagnosis Using Ensemble Machine Learning Techniques: A Comparative Study
A multi-objective fusion internal preload optimization method of redundantly actuated parallel robots for backlash prevention
Prior Knowledge and Data-Driven Based Long- and Short-Term Fusion Network for Traffic Forecasting
Creating Corpora for Seq2Seq Tone Rephrasing Using Social Media Posts
Efficient neural network pruning during neuro-evolution
RSDiX: Lightweight and Data-Efficient VLMs for Remote Sensing through Self-Distillation
An Evolutionary Optimization Approach to Cost-Based Abduction, with Comparison to PSO
The Regularized SNN-TA Model for Recognition of Noisy Speech
New-Design Orthotic Footwear for Tactile Stimulation: A Pilot Study on Two Distinct Stimuli
Incremental learning algorithm for spatio-temporal spike pattern classification
Flight Delay Prediction with a Spatiotemporal Cross-Attention Large Language Model
Implementation of human conveyance vehicle using model-free AORCMAC control strategy
Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions
An associative memory system for incremental learning and temporal sequence
Design of State Estimators for the Inferential Control of an Industrial Distillation Column
KETM:A Knowledge-Enhanced Text Matching method
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
Generating image description by modeling spatial context of an image
Neocognitron capable of position detection and vehicle recognition
Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns
Forecasting series-based stock price data using direct reinforcement learning
Discriminative dimensionality reduction for regression problems using the Fisher metric
High-order Correlation Network for Video Recognition
Convergence of SOM and NG as GNC algorithms
LCDeT: LiDAR Curb Detection Network with Transformer
Modeling reward functions for incomplete state representations via echo state networks
Probabilistic-based neural network implementation
Learning Unsupervised Disentangled Capsule via Mutual Information
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects
A semi-supervised clustering algorithm that integrates heterogeneous dissimilarities and data sources
A recurrent neural network for solving variational inequality problems with nonlinear constraints
Age and Gender Estimation via Deep Dictionary Learning Regression
(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification
Forecasting time series with a logarithmic model for the Polynomial Artificial Neural Networks
Aircraft sensor estimation for fault tolerant flight control system using fully connected cascade neural network
Performance of neural networks for call admission control in ATM systems
Harnessing Growth-Based Morphological Development to Facilitate Learning ANN-Controlled Bipedal Walking
Achieving CO2 emission targets for energy consumption at Canadian manufacturing and beyond; using hybrid optimization model
OneSpike: Ultra-low latency spiking neural networks
Dual Prototype Learning for Robust Open Set Recognition
GRU-TSMixers: Sleep Apnea and Hypopnea Detection Based on Multi Scale MLP-Mixers
A new accelerated EM based learning of the image parameters and restoration
GA-based feature selection approach in biometric hand systems
Neural network application for robotic motion control-adaptation and learning
Performance Studies for Validation of CAD Systems
SkelEx and BoundEx - Geometrical Framework for Interpretable ReLU Neural Networks
Artificial neural networks for diagnosis of hepatitis disease
Pattern classifiers with adaptive distances
Downscaling temperature and precipitation using support vector regression with evolutionary strategy
A two-processing element adaptable linear oscillating recurrent system with single-weight plasticity
Self Decoupling-Reconstruction Network for Facial Expression Recognition
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
Ensembles of membrane proteins as statistical mixed-signal computers
Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data
Integrating Local and Global Manifold structures for unsupervised dimensionality reduction
Saliency model of auditory attention based on frequency, amplitude and spatial location
SIntactical Distance Attention Guided Graph Convolutional Network for aspect-based sentiment analIsis
A novel BPSO approach for gene selection and classification of microarray data
Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization
Achieving Equalized Explainability Through Data Reconstruction
A neural system for behavioral conditioning of mobile robots
Mid-Curve Recommendation System: a Stacking Approach Through Neural Networks
TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions
Uncertainty Aware Model Integration on Reinforcement Learning
Mixture kernel least mean square
Exploring Hierarchical Multi-modal Prompts Learning for HOI Detection via Hybrid Learning
Topic Discovery for Streaming Short Texts with CTM
Partial Multi-Label Feature Selection
Kernel and spectral methods for solving the permutation problem in frequency domain BSS
Off-line handwritten Thai name recognition for student identification in an automated assessment system
Item Response Theory for Evaluating Regression Algorithms
An Emotion-aided Gender Prediction System
Global Dynamics and Local Synchrony: Therapeutic Prospects for Implant Learning Devices
BT-Net: A Multi-Scale Transformer U-Net with Morphological Refinement for Adaptive Bone Tissue Segmentation
Enhancing Vector Data Quality through Negative Learning for Retrieval-augmented Large Models
A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with $L_{0}$ Regularization
Attribute Structured Knowledge Distillation
Simultaneous learning of several Bayesian and Mahalanobis discriminant functions by a neural network with additional nodes
Community analysis of influential nodes for information diffusion on a social network
ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams
Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems
Data intensive parallel feature selection method study
GAN Doctor: Diagnosing and Treating Inherent Semantic Errors
Image edge detection using adaptive morphology Meyer wavelet-CNN
Deep Reinforcement Learning for Penetration Testing of Cyber-Physical Attacks in the Smart Grid
DynGCF: Augmenting Inactive Users and Items in Dynamic Graph-based Collaborative Filtering
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework
Spatio-Temporal Bidirectional Fusion RGB-T Tracking
A robust reinforcement based self constructing neural network
Self-Learning with Stochastic Triplet Loss
Scaling Active Inference
Using real-valued meta classifiers to integrate binding site predictions
DietCNN: Multiplication-free Inference for Quantized CNNs
Context-Dependent Spatial Representations in the Hippocampus using Place Cell Dendritic Computation
FD-GAN: A Dual-Domain Approach with Fourier Domain Discriminators for Denoising Low-Dose CT Images
A Bionic Natural Language Parser Equivalent to a Pushdown Automaton
An adjustable model for linear to nonlinear regression
Improving Universal Language Model Fine-Tuning using Attention Mechanism
On MCMC Sampling in Bayesian MLP Neural Networks
Based on Support Vector Regression for emotion recognition using physiological signals
A research on combination methods for ensembles of multilayer feedforward
True risk bounds for the regression of real-valued functions
A neuro-based optimization algorithm for tiling problems with rotation
A partial model of cortical memory based on disinhibition
An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction
A study of the switching function of the Subthalamic Nucleus in saccade generation using a computational model of Basal Ganglia
Face Forgery Detection Attack via Hybrid Perturbation with Dual Mask
K-fold generalization capability assessment for support vector classifiers
Fault recognition in smart grids by a one-class classification approach
Mining Port Congestion Indicators from Big AIS Data
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
A neural model of centered tri-gram speech recognition
Comparing textural features for music genre classification
Guided Diffusion-based Adversarial Purification Model with Denoised Prior Constraint
Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4
Periodic activation functions in memristor-based analog neural networks
Lossless high dynamic range image coding based on lifting scheme using nonlinear interpolative effect of discrete-time cellular neural networks
Enhancing Adversarial Attacks: The Similar Target Method
Cognitive Modeling Based on Perceiving-Acting Cycle in Unilateral Spatial Neglect
Gated Recurrent Neural Tensor Network
Clustering based methods for solar power forecasting
Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data
Question Generation via Multi-stage Answers Editing Network
PMPRec: A Pre-training encoder based on Meta-Path for Recommendation
A simple but practical method: How to improve the usage of entities in the Chinese question generation
Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors
Learning the number of gaussian components using hypothesis test
Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models
Blind robust neural network beamformer
High-Fidelity Face Swapping via Fine-grained Attribute Control with Diffusion Models
Gesture recognition for virtual reality applications using data gloves and neural networks
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
A Neural Network model for spatial mental imagery investigation: A study with the humanoid robot platform iCub
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data
An Architecture for Fully Decentralized Opportunistic Learning
UML-MVSNet: Uncertainty-guided Multi-task Learning for Multi-view Stereo
Adaptive curiosity for emotions detection in speech
Robust Signed Distance Fields for Articulated Human Body Reconstruction via Multiresolution Hash Encoding
BDA-YOLO: Enhancing Thyroid Nodule Detection and Segmentation via Dynamic and Bidirectional Attention
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?
Investigations on the Characteristics of Random Decision Tree Ensembles
Enhancement of the Robustness of Redundant Robot Arms Against Perturbations by Inferring Dynamical Systems Using Echo State Networks
Ensembles of Multi-scale Kernel Smoothers for Data Imputation
Constrained Maximum Variance Mapping
Modulation Based Transfer Learning of Motivational Cues in Developmental Robotics
A Deep Reservoir Computing Architecture for Dynamic Generative Modeling
Behaviors of Reservoir Computing Models for Textual Documents Classification
A Proof of Local Convergence for the Adam Optimizer
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming
An Efficient Power Allocation Algorithm Based on Robust Bayesian Learning
Decentralized algorithms for sensor registration
CSIA-GCN: A Doctor Recommendation Model Based on Interactive Graph Convolutional Networks
Category Theory Applied to Neural Modeling and Graphical Representations
Response knowledge learning of autonomous agent
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019
Improved performance of face recognition using CNN with constrained triplet loss layer
Silver chalcogenide based memristor devices
The problem with ranking ensembles based on training or validation performance
4S-Classifier: Empowering Conservation through Semi-Supervised Learning for Rare and Endangered Species
Manifold Gaussian Processes for regression
ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs
Mass screening and feature reserved compression in a computer-aided system for mammograms
KDLight: A Lightweight Knowledge Distillation Framework for Medical Image Classification
CDANER: Contrastive Learning with Cross-domain Attention for Few-shot Named Entity Recognition
Extreme Learning Machine combining matrix factorization for collaborative filtering
Construction Cost Index Prediction: A Visibility Graph Network Method
Data driven fitting sample selection for time series forecasting with neural networks
Wavelet-Temporal Neural Network for Multivariate Time Series Prediction
A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption
Application of string kernel based support vector machine for malware packer identification