yusuke1997/dblp-id-title huggingface dataset:
Spatial-Temporal Multi-Scale Interactive Graph Convolutional Network for Traffic Flow Prediction
Solving Nonlinear Optimization Problems Using Networks Of Spiking Neurons
Some performance results for a connection machine implementation of the boundary contour system
RuleSQLova: Improving Text-to-SQL with Logic Rules
A dictionary based survival error compensation for robust adaptive filtering
Semi-paired Image-to-Image Translation using Neighbor-based Generative Adversarial Networks
Collaborative multi-view clustering
SDEFormer: Neural Stochastic Differential Equations for Continuous-Time Transformers in Irregular Time Series Modeling
MSCNet: Multi-Scale Connected Network for Image Denoising
CMVCG: Non-autoregressive Conditional Masked Live Video Comments Generation Model
Fuzzy power management for environmental monitoring systems in tropical regions
Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems
A receptive field based approach for face detection
Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations
A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Prediction of Coronary Artery Dissection Hemodynamics based on Physics-informed PointNet and Difference Graph Convolution
Deep Cyclic Group Networks
The Variational Deficiency Bottleneck
An Improved CenterNet2 Model for Long-Arm Engineering Vehicle Object Detection
Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring
Improving boosting performance with a local combination of learners
Improving classification precision by implicit kernels motivated by manifold learning
Monoceros: A New Approach for Training an Agent to Play FPS Games
Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics
A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction
Forecasting the Unknown Dynamics in NN3 Database Using a Nonlinear Autoregressive Recurrent Neural Network
Neural Network Module Decomposition and Recomposition with Superimposed Masks
Uniform approximation of discrete-time nonlinear systems
ArcGrad: Angular Gradient Margin Loss for Classification
Vector Symbolic Scene Representation for Semantic Place Recognition
Influence of Criticality on 1/f alpha Spectral Characteristics of Cortical Neuron Populations
Magnification in divergence based neural maps
MIGFM: A Multi-grained Interaction Guided Fusion Model for Multi-modal Aspect-Based Sentiment Analysis
SVM classification of epileptic EEG recordings through multiscale permutation entropy
Response integration in Ensemble Neural Networks using interval type-2 Fuzzy logic
Artificial intelligence for conflict management
A simple synchronization criterion for a complex network based on the feedback
DRG2vec: Learning Word Representations from Definition Relational Graph
Cellular Computational Network for Distributed Power Flow Inferencing in Electric Distribution Systems
Multi-spectral missing label prediction via restoration using deep residual dictionary learning
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
Towards Spatio-temporal Collaborative Learning: An End-to-End Deepfake Video Detection Framework
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
Multi-modal False Information Detection Based on Adversarial Learning
Clinical narrative classification using discriminant word embeddings with ELM
A fast neural network-based detection and tracking of dim moving targets in FLIR imagery
An Empirical Study on Identifying Sentences with Salient Factual Statements
A Privacy-Preserving Generative Adversarial Network Method for Securing EEG Brain Signals
Diagnosis of Power Transformer using Fuzzy Clustering and Radial Basis Function Neural Network
Private Data Synthesis from Decentralized Non-IID Data
Evolution of robotic neurocontrollers with intrinsic noise and their behavior in noisy environments
Genetic design of processing elements for path planning networks
From ADP to the brain: Foundations, roadmap, challenges and research priorities
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models
AdaptiveTune: Adaptive Value With Bernoulli Noise Can Help Us Finetune Better
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering
Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System
A study on neuromorphic quantum computation
Towards pulse detection and rhythm analysis using a biomimetic fingertip
The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning
E-BiGraphSAGE: Bipartite Graph Neural Networks for Network Intrusion Detection
A facial expression recognition system using neural networks
Fusing attention with visual question answering
Boosting Naive-Bayes classifiers to predict outcomes for hip prostheses
An information theoretic ART for robust unsupervised learning
Application of Support Vector Regression to Temperature Forecasting for Short-term Load Forecasting
Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving
Exploiting self-similarity for change detection
Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacher
M2SOPT: Multi-scale Multi-modal Survival Outcome Prediction Transformer
MIXP: Efficient Deep Neural Networks Pruning for Further FLOPs Compression via Neuron Bond
Discriminative kernel transfer learning via l2, 1-norm minimization
A dual neural network solving quadratic programming problems
High Impedance Fault Detection in Time-Varying Distributed Generation Systems Using Adaptive Neural Networks
Kernel robust mixed-norm adaptive filtering
Adaptive Graph Structure Inference for Learning Multivariate Point Processes using Spiking Neural Networks
Single-pigment optical mechanism for color opponency in a photoreceptor cell
Learning Golf Swing Key Events from Gaussian Soft Labels Using Multi-Scale Temporal MLPFormer
A Multi-modal Multi-task based Approach for Movie Recommendation
Impulsive synchronization of coupled switched neural networks with impulsive time window
An overview on weight initialization methods for feedforward neural networks
Fisher information quantifies task-specific performance in the blowfly photoreceptor
Efficient resampling methods for training support vector machines with imbalanced datasets
Fast Training of Support Vector Machines for Regression
Pre-training and Fine-turning Multi-task Learning Model: An Effective Method for Mongolian Morphological Tagging
Multi-Class and Multi-Label Classification Using Associative Pulsing Neural Networks
Pareto cascade modeling of diffusion networks
Analysis of ensemble learning using simple perceptrons based on online learning theory
Curiosity and pleasure
MA-YOLO: Multi-Scale Information Prediction Network Based on the Multi-Direction Weighted Pyramid for UAV Scene
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM
Attention-based Deep Learning Model for Text Readability Evaluation
Intelligent adaptive control of aircraft dynamic systems with a new neuro-fuzzy-fractal approach
Large-scale patent classification with min-max modular support vector machines
Faster α-expansion via dynamic programming and image partitioning
Neural networks of the brain: their analysis and relation to brain images
Special interest groups discovery and semantic navigation support within online discussion forums
Speech Augmentation Based Unsupervised Learning for Keyword Spotting
Sequential appearance-based Global Localization using an ensemble of kNN-DTW classifiers
A simple trick for constructing Bayesian formulations of sparse kernel learning methods
Broadband sonar target classification: pool experiments
Pre-training A Prompt Pool for Vision-Language Model
FsNet: Feature Selection Network on High-dimensional Biological Data
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity
Applying KIV dynamic neural network model for real time navigation by mobile robot EMMA
Affordable emerging computer hardware for neuromorphic computing applications
Synthetic contact maps to predict grasp regions on objects
Combating Word-level Adversarial Text with Robust Adversarial Training
Help-training semi-supervised LS-SVM
Transfer Learning for Network Classification
Solving jigsaw puzzles using Hopfield neural networks
RNN-based speech synthesis using a continuous sinusoidal model
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
Classification of Helical Structures
Exploring Transferability in Deep Neural Networks with Functional Data Analysis and Spatial Statistics
Neural network nonlinear plant identification as a tool in intelligent controller design
Time-Aware Neighbor Sampling on Temporal Graphs
Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video using a Deep Neural Network
Protein localization on cellular images with Markov random fields
Decoupling-Enhanced Vietnamese Speech Recognition Accent Adaptation Supervised by Prosodic Domain Information
Discriminative kernel hat matrix: A new tool for automatic outlier identification
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Neural networks in non-Euclidean metric spaces
Neural Network Strategy for Sampling of Particle Filters on the Tracking Problem
Semi-hierarchical naïve Bayes classifier
Towards Open-World Video Segmentation via Iterative Automatic Prompting
Learning to Coordinate Behaviors in Soft Behavior-Based Systems Using Reinforcement Learning
Multi omic oscillations in bacterial pathways
A new k-winners-take-all neural network
Event-Frame Temporal Information Fusion for Visual Object Tracking
Deep Image Segmentation by Quality Inference
Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing
Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting
AP-STDP: A novel self-organizing mechanism for efficient reservoir computing
A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents
Classification of radiology reports using neural attention models
Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation
Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach
Vector control of a grid-connected rectifier/inverter using an artificial neural network
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
PFGM-IQA: CT Image Quality Assessment using Poisson Flow Generative Models
Optimization of Sparse Phased Arrays Using Deep Learning
Artificial intelligence approach to determine minimum dose of haemodialysis
Convolutional Neural Network Accelerator for Compression Based on Simon k-means
A Structure of Restricted Boltzmann Machine for Modeling System Dynamics
Uncertainty prediction and calibration using multi-expert gating mechanism
Cross-sentence Neural Language Models for Conversational Speech Recognition
Very short-term electricity load demand forecasting using support vector regression
RF Signal Classification using Boolean Reservoir Computing on an FPGA
Improving recall values in breast cancer diagnosis with Incremental Background Knowledge
Multi-contrastive Learning Recommendation Combined with Knowledge Graph
Window Merge Neural Gas for Processing Pattern Sequences
Intuitive Clustering of Biological Data
Neural computation for planning AND/OR precedence-constraint robot assembly sequences
Acquiring visual servoing reaching and grasping skills using neural reinforcement learning
Volatility analysis via coupled Wishart process
Kernels based on weighted Levenshtein distance
On Class Imbalance and Background Filtering in Visual Relationship Detection
A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm
Using neural networks for fiber content analysis
Low-rank representation based traffic data completion method
EfficientAudioNet: Enhancing Environmental Sound Classification through Data Fusion of Multiple Audio Representations
Reinforcement Learning for Option Hedging Using Quantile Regression and Curriculum Learning with Historical Data Fusion
A VLSI circuit of lamprey unit pattern generator
Research on the method of expanding the metallogenic data based on generative adversarial networks
Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data
Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting
Comparative Study of Different Types of Wavelet Functions in Neural Network
Adversarial Style Interpolation for High-fidelity Stroke-aware Chinese Character Image Synthesis
Neural network model for time series prediction by reinforcement learning
Central pattern generator and its learning via simultaneous perturbation method
Social Interaction-Aware Dynamic Expert Networks for Predicting User Opinion Dynamics
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach
Dynamic system eigenvalue extraction using a linear echo state network for small-signal stability analysis - a novel application
The transformer fault diagnosis combing KPCA with PNN
Locally linear support vector machines and other local models
Retinex2Diff: Two-Branch Diffusion Model for Low-Light Image Enhancement
The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013
SleepCVT: Combination of Convolution Neural Network and Vision Transformer for Automatic Sleep Scoring
Empirical comparison and evaluation of classifier performance for data mining in customer relationship management
Adaptive clustering neural net for piecewise nonlinear discriminant surfaces
Bio-inspired balanced tree structure dynamic network
An Imperceptible and Robust Audio Watermarking Algorithm Based on SNGAN
Extension of knowledge-driven harmonization model for tonal music
Latent learning in deep neural nets
WebFusion: Fundamentals and Principals of a Novel Meta Search Engine
Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification
Adaptive learning method of recurrent temporal deep belief network to analyze time series data
A framework for the verification of air quality forecasting models using self-organizing feature maps
A silicon retina for polarization contrast vision
Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces
Extraction of distance information from the activity of entorhinal grid cells: a model study
Associative memory using ratio rule for multi-valued pattern association
Machine learning evaluating evolutionary fitness in complex biological systems
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts
Application of the boundary contour/feature contour system to magnetic resonance brain scan imagery
A Multimodal Method for Chinese Spelling Correction
Sentiment Text Analysis for Providing Individualized Feed of Recommendations Using Reinforcement Learning
Reinforcement learning for autonomous robot navigation
Mapping the Diffusion Network into a stochastic system in Very Large Scale Integration
Sequential hierarchical recruitment learning in a network of spiking neurons
Membership scoring via independent feature subspace analysis for grouping co-expressed genes
Incorporating Long and Short-Term Memory Networks and Quaternion Transformation for Human Motion Prediction
ExpFormer: Cross-lingual One-shot Talking Head Generation via Enhanced 3D Expression Modeling
A Lightweight Model for Ancient Chinese Character Image Retrieval Based on Channel Optimization and Global Modeling
SAFD Enhanced Multi-Level Collaborative Network for EEG Biometric Authentication
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification
Dual Multi-Task Network with Bridge-Temporal-Attention for Student Emotion Recognition via Classroom Video
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
Approaching real-world navigation using object recognition network
Spectral clustering-based local and global structure preservation for feature selection
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
Should I Stay or Should I Grow? A Dynamic Self-Governed Growth for Determining Hidden Layer Size in a Multilayer Perceptron
An incremental learning method for neural networks in adaptive environments
Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression
SWGP: Semi-supervised clustering via Wasserstein generative adversarial network with gradient penalty for uncovering brain disease heterogeneity from medical images
Image Modeling with Deep Convolutional Gaussian Mixture Models
Fuzzy Knowledge-Driven Human-in-the-Loop Learning for Autonomous Driving
Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials
Fine-grained Similarity Matching with a Similarity Filtration Pyramid for Code Search
Structural superpixel descriptor for visual tracking
Multi-Modal Fake News Detection Based on Image Captions
Wasserstein Exponential Kernels
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks
Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG
Named Entity Recognition for Audio De-Identification
RoCo-NAS: Robust and Compact Neural Architecture Search
Naive Bayes texture classification applied to whisker data from a moving robot
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
Validation of fusion through linear programming
How can we trust opaque systems? Criteria for robust explanations in XAI
Machine Learning-based Spectrum Allocation using Cognitive Radio Networks
Comparison between different methods for developing neural network topology applied to a complex polymerization process
Analysis and learning of periodic orbits in dynamic binary neural networks
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering
Contradiction resolution with explicit and limited evaluation and its application to SOM
LRER: A Low-Resource Entity Resolution Framework with Hybrid Information
Modelling of gasoline blending via discrete-time neural networks
A Multimodal Correlation and Interaction-based Method for Cyberbullying Detection
Lung Cancer Identification by an Electronic Nose based on an Array of MOS Sensors
EOG-based drowsiness detection using convolutional neural networks
Adaptive training methods for optimal margin classification
Real-Time Misinformation Detection with Cyclic Evidence-Based Framework
A Multimodal Hierarchical Variational Autoencoder for Saliency Detection
3D Morphable Face Model with Continuous Semantics
Identification of twin-tanks dynamics using adaptive wavelet differential neural networks
Analog auditory perception model for robust speech recognition
A hierarchical method for traffic sign classification with support vector machines
Multivariate regression model selection with KIC for extrapolation cases
Bootstrap Decomposition Enhanced Orthogonal-Basis Projection Model for Long-term Time Series Forecasting
Extreme Learning Machines for approximating nonlinear dimensionality reduction mappings: Application to Haptic handwritten signatures
Preparing More Effective Liquid State Machines Using Hebbian Learning
Adaptive neural network tracking control of robotic systems
Kernel principal component analysis and support vector machines for stock price prediction
Bridge the Query and Document: Contrastive Learning for Generative Document Retrieval
A combined SVM and LDA approach for classification
CM-Net: a point cloud upsampling network based on adversarial neural network
MAF-DETR: Defect Detection with Multi-Scale Adaptive Feature Fusion
Using Expert Knowledge for Masking Irrelevant Data Streams in Siamese Networks for the Detection and Prediction of Faults
Applications of probabilistic model based on joystick probability selector
Finite horizon stochastic optimal control of nonlinear two-player zero-sum games under communication constraint
Effective Quantization Approaches for Recurrent Neural Networks
Incorporating approximate dynamic programming-based parameter tuning into PD-type virtual inertia control of DFIGs
Segmentation and Smoothing Affect Explanation Quality More Than the Choice of Perturbation-based XAI Method for Image Explanations
Predicting customer behavior via calling links
Truncated variational EM for semi-supervised neural simpletrons
Q-Value Weighted Regression: Reinforcement Learning with Limited Data
ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
A Drift Detection Method Based on Active Learning
A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle
Nonlinear complex principal component analysis and its applications
Supervised Approaches for Protein Function Prediction by Topological Data Analysis
Fairer Machine Learning Through the Hybrid of Multi-objective Evolutionary Learning and Adversarial Learning
A roadmap for autonomous adaptive systems: The brain-guided attention (BGA) system
Time series filtering, smoothing and learning using the kernel Kalman filter
Neural mapping and space-variant image processing
Predictive Hebbian association of time-delayed inputs with actions in a developmental robot platform
Thermal comfort sensor based on probabilistic energy neural network
Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks
Detection of River Floating Debris in UAV Images Based on Improved YOLOv5
Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex
UR4NNV: Neural Network Verification, Under-approximation Reachability Works!
The Backpropagation algorithm for a math student
A reinforcement learning system for swarm behaviors
An asymmetric stagewise least square loss function for imbalanced classification
Exploring speaker-specific characteristics with deep learning
An optimal software maintenance policy based on reliability and risk
KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models
FDSI-RTDETR : A Lightweight Unmanned Aerial Vehicle (UAV) Aerial Image Small Object Detection Network
Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
Market Risk Measurement for Crude Oil: A Wavelet Based VaR Approach
A novel approach to robot vision using a hexagonal grid and spiking neural networks
Long Term Prediction of Chaotic Time Series with the Aid of Neuro Fuzzy Models, Spectral Analysis and Correlation Analysis
Symbols Classification in Engineering Drawings
Rate coding vs. temporal coding - is optimum between?
Artificial Neural Networks for Real Time Reader Devices
Level-set segmentation with contour based object representation
Biologically inspired intensity and range image feature extraction
ANN Based Internal Model Approach to Motor Learning for Humanoid Robot
Effective Intermediate Knowledge Distillation for Image Classification
Robotic position/orientation control using neural networks
Document-Level Event Temporal Relation Extraction on Global and Local Cues
Single vs. population cell coding: Gaze movement control in target search
Implementing Multi-class Classifiers by One-class Classification Methods