yusuke1997/dblp-id-title huggingface dataset:
Mixture model-based functional discriminant analysis for curve classification
Generation of pseudorandom numbers with arbitrary distribution by learnable look-up-table-type neural networks
Evaluation of Performance Measures for SVR Hyperparameter Selection
Parallel genetic algorithms for a neurocontrol problem
Selective and Representative Sequence Feature Alignment for Domain Adaptive Detection Transformer
Improving Person Re-identification by Body Parts Segmentation Generated by GAN
Encoding robust representation for graph generation
Adversarial Robustness of Model Sets
Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization
Gaussian process regression for voice activity detection and speech enhancement
A Developmental Neuro-Robotics Approach for Boosting the Recognition of Handwritten Digits
A method for intelligent support to medical diagnosis in emergency cardiac care
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN
Problems of temporal granularity in robot control: Levels of adaptation and a necessity of self-confidence
AG-Mask: Augmented 3D Generative Masked Motion Model for Text-to-Motion
Hybrid approach for Anomaly Detection in Time Series Data
BGEM: Bipartite Graph-based Extension Modeling in Graph Neural Network for QoS Prediction
(In)adequate Data Protection and Algorithmic Predictive Analysis: An Unresolved Battle
Neural networks for precollege students
Pricing call warrants with artificial neural networks: the case of the Taiwan derivative market
Robust neural predictor for noisy chaotic time series prediction
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007
Synthesis of multilayer neural networks architecture (for the case of cascaded NNs)
A constructive unsupervised learning algorithm for clustering binary patterns
Complex-valued neuro-fuzzy inference system for wind prediction
An Application of Independent Component Analysis in the Arbitrage Pricing Theory
RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer
Fast online incremental transfer learning for unseen object classification using self-organizing incremental neural networks
Designing partially-connected, multilayer perceptron neural nets through information gain
3D Point Cloud Feature Explanations Using Gradient-Based Methods
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Automated heuristic growing of neural networks for nonlinear time series models
Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers
A comparison of Eclectic learning and Stagger
Curriculum Adversarial Training for Robust Reinforcement Learning
Cellular computational generalized neuron network with cooperative PSO for power systems
Generalized associative memory models for data fusion
A Meta-Learning-Based Joint Two-View Framework for Inductive Knowledge Graph Completion
Orthogonal linear local spline discriminant embedding for face recognition
Automated Abstraction of Dynamic Neural Systems for Natural Language Processing
Dynamic Hyperparameter Scaling Method for LVQ Algorithms
LLM-Enabled Style and Content Regularization for Personalized Text-to-Image Generation
Generalising Recursive Neural Models by Tensor Decomposition
Rule extraction from neural networks: modified RX algorithm
Performance improvement of the BSB model in classifier tasks using optimization techniques
Geoelectric modeling with Kernel methods
A Suitable and Efficient Super-Resolution Network for Neural Video Delivery
Improved Manifold Learning with competitive Hebbian rule
A Graph-based Context Learning Technique for Image Parsing
Gene expression data classification based on non-negative matrix factorization
Model of Balance of Excitation and Inhibition in Hippocampal Sharp Wave Replays and Application to Spatial Remapping
Segformer: Segment-Based Transformer with Decomposition for Long-Term Series Forecasting
Inference of genetic regulatory networks from time series gene expression data
Reinforcement learning with guided policy search using Gaussian processes
A local face statistics recognition methodology beyond ICA and/or PCA
A Visual Feature-Based Inverse Reinforcement Learning Approach for Reward Reconstruction from Image Observations
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
External Knowledge-Guided Interaction-Aware Multimodal Rumor Detection
RCFormer : Interactive Image Segmentation via Reconstructing Click Vision Transformers
Going Deeper with Recursive Convolutional Layers
Crowd Density Estimation Based on a Modified Multicolumn Convolutional Neural Network
Investigations into the analysis of remote sensing images with a growing neural gas pattern recognition algorithm
A Novel Gene Ranking Algorithm Based on Random Subspace Method
Explaining Identity-aware Graph Classifiers through the Language of Motifs
A Privacy-Protecting Data-Exchange Wallet with Ownership- and Monetization Capabilities
Multi-Attribute Enhancement Network for Person Search
A Comparative Analysis of Models for Real-Time Personal Protective Equipment Detection on Edge Devices
Training of the dynamic neural networks via constrained optimisation
Artificial Neural Networks with Adaptive Multidimensional Spline Activation Functions
Integrating phrases to enhance HSOMART-based document clustering
The state of the art of memristive neural systems: Models and applications
Ternary neural networks for resource-efficient AI applications
Partial Graph Matching Based on Node Filtering and Sampling
One-class extreme learning machines for gas turbine combustor anomaly detection
Tensor LRR based subspace clustering
SGD-YOLOv5: A Small Object Detection Model for Complex Industrial Environments
Image segmentation by artificial life approach using autonomous agents
EFAMS-DETR: Multi-scale Infrared Target Detection with Feature Aggregation and Edge Enhancement for Low-altitude Remote Sensing
Understanding Neuro-Fuzzy on a class of multinomial malware detection problems
Exploiting Machine Learning Models to Avoid Texting While Driving
Knowing your place: subfield specific involvement in hippocampal spatial processing
Mixed Variational Inference
Temperature Inversion guided Attention for Infrared Small Target Detection
Structural Mapping with Identical Elements Neural Network
Explainable Supervised Domain Adaptation
Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data
Role-Playing in Vision-Language Models: A Comprehensive Evaluation of Image Description Performance
Robust human action recognition via long short-term memory
Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective
Multivariate electricity consumption prediction with Extreme Learning Machine
NCMI: A Framework for Missing Modality Generation in Multi-modal Recommendation
Neural Velocity for hyperparameter tuning
Training support vector machines with particle swarms
Mooe: Optimal Expert Deployment Scheme in Low-Rank Adaptation architecture
Neural-based adaptive integral sliding mode tracking control for nonlinear interconnected systems
Instance-Based Ensemble Selection Using Deep Reinforcement Learning
Gravity-Shift-VIO: Adaptive Acceleration Shift and Multi-Modal Fusion with Transformer in Visual-Inertial Odometry
Towards SFW sampling for diffusion models via external conditioning
Clustered Federated Learning Framework for Non-IID Ambient Noise Mapping for Urban Sensing
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling
iBQPSO: an Improved BQPSO Algorithm for Feature Selection
Unsupervised Dynamic Network Embedding Using Global Information
Chaos Generators for CDMA Communication Using Neural Networks
Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions
Hamiltonian Neural Networks Based Classifiers and Mappings
Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition
Gaussian-Bernoulli deep Boltzmann machine
Detecting Community Structures in Directed Networks Based on Latent In-Out-Link Patterns
WTBFlaw-YOLO: YOLO Network for Surface Defect Detection of Wind Turbine Blades
A Link Prediction Model of Dynamic Heterogeneous Network Based on Transformer
A fuzzy cognitive system: examination of a referential neural architecture
Pattern-based Forecasting of Monthly Electricity Demand using Support Vector Machine
Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm
The Effect of System Timescale on Virtual Node Connectivity within Delay-Feedback Reservoirs
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation
EEG analysis for cognitive failure detection in driving using neuro-evolutionary synergism
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning
Fuzzy control using neural network techniques
Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
Modeling delayed coking plant via RBF neural networks
Prompt-Based Memory Bank for Continual Test-Time Domain Adaptation in Vision-Language Models
Estimation of the Training Efficiency of Recurrent Neural Networks
Activity recognition in collaborative environments
Self-Supervised Learning for Time-Domain Radio Signal Detection
Coupled Dictionary Learning for Multi-label Embedding
A random subspace method for co-training
Diversified Point Cloud Classification Using Personalized Federated Learning
Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification
Learning Heterogeneous Functions from Sparse and Non-Uniform Sample
'Mechanical' neural learning and InfoMax orthonormal independent component analysis
A Sequence Tagging based Framework for Few-Shot Relation Extraction
An Action Generation Model Using Time Series Prediction
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
A network model of rational versus irrational choices on a probability maximization task
Fractal analysis of resting state functional connectivity of the brain
SFPA-Net: Second-order Feature Enhancement Prototype Aggregation Network for MRI Brain Tumor Segmentation
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features
Nonlinear time series online prediction using reservoir kalman filter
Optimizing resources in model selection for support vector machines
UniROD: Unified Radar Object Detection with MAE-pretrained CNN-Transformer Fusion
DMAC-YOLO: A High-Precision YOLO v5s Object Detection Model with a Novel Optimizer
PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data
Multimodal Video Emotional Analysis of Time Features Alignment and Information Auxiliary Learning
Causal Mean Field Multi-Agent Reinforcement Learning
Combining Reinforcement Learning and Rule-based Method to Manipulate Objects in Clutter
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph
Underwater Image Enhancement with Phase Transfer and Attention
An information theoretic approach for in-situ underwater target classification
Multi-level Hypergraph Contrastive Learning with Centrality-based Adaptive Augmentation
Temporal Bayesian Ying-Yang dependence reduction, blind source separation and principal independent components
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids
Deep Content Guidance Network for Arbitrary Style Transfer
An improved method of DHP for optimal control in the clarifying process of sugar cane juice
Guided Deep Reinforcement Learning in the GeoFriends2 Environment
Neural Multigrid Architectures
Breast MRI data analysis by LLE
A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition
McXai: Local Model-Agnostic Explanation As Two Games
A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification
Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
Learning a metric for class-conditional KNN
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization
Multi-branch structure and its localized property in layered neural networks
Entropy penalized learning for Gaussian mixture models
Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition
A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation
A tool to implement probabilistic automata in RAM-based neural networks
Structured Pruning for Efficient ConvNets via Incremental Regularization
Learning spatio-temporally invariant representations from video
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Self-consistent significance level as a statistical predictor of epilepsy attack
Shared Knowledge Base for Multi Deep Learning in Defect Detection
Convolution-Enhanced Transformer with Frequency Domain Contrastive Learning for Image Deraining
A Proposal to Solve N-Queens Problems Using Maximum Neuron Model with A Modified Hill-Climbing Term
Exploitation of sparse properties of support vector machines in image compression
Qualitative Adaptive Critics
Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems
The Generalisation of the Recursive Deterministic Perceptron
Impulse Response Modeling of Dynamical Systemswith Convolutional Neural Networks
Fast and Efficient Text Classification with Class-based Embeddings
Estimation of initial weights and hidden units for fast learning of multilayer neural networks for pattern classification
What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems?
Sigma-pi implementation of a Gaussian classifier
High performance associative memory with distance based training algorithm for character recognition
Realization of desired super-stable spike-trains based on digital spiking neurons
Assessment of power curves in models of wind power forecasting
Labeled and unlabeled data in text categorization
Decentralized neural block control for an industrial PA10-7CE robot arm
Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models
An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules
Reducing the Computation Load of Convolutional Neural Networks through Gate Classification
Estimation of classification complexity
An interference rejection-based radial basis function neural network for hyperspectral image classification
Knowledge Graph Enhanced Dynamic Multi-Graph Convolutional Network for Traffic Origin-Destination Forecasting
Neural network based drug design for diabetes mellitus using QSAR with 2D and 3D descriptors
Faster Training by Selecting Samples Using Embeddings
Confidence Identification Based on the Combination of Verbal and Non-Verbal factors in Human Robot Interaction
Robustness of a memristor based liquid state machine
Random projections for assessing gene expression cluster stability
PIPES: A Meta-dataset of Machine Learning Pipelines
Of Non-Linearity and Commutativity in BERT
A data partition method for parallel self-organizing map
Interacting maps for fast visual interpretation
Embedded Electronics Systems for Training Support Vector Machines
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
Graph Local Pooling Optimization for Hierarchical Graph Neural Networks
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data
Information-theoretic feature selection algorithms for text classification
Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning
DDN-Turbo: Enhanced Deconvolutional Density Networks for Data-Scarce Conditional Density Estimation
Unified Batch All Triplet Loss for Visible-Infrared Person Re-identification
A Lightweight Architecture for Predicting Neutronic Parameters via Neural Architecture Search
Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems
Medical diagnosis applications using a novel interactively recurrent self-evolving fuzzy CMAC model
Top-down visual selective attention model combined with bottom-up saliency map for incremental object perception
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Pairwise Permutation Coding Neural Classifier
A new hybrid neural system interfacing neurons and silicon hardware for fast signal recognition
An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game
Hierarchical Cache Transformer: Dynamic Early Exit for Language Translation
Enhanced Multi-Class Classification and Triage of Security Alerts Using Contrastive Learning in Cloud Environment
Who is driving this deepfake? Beyond Deepfake Detection with Driver Identification
Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment
Contact Lens Detection using Transfer Learning with Deep Representations
Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data
FMS-Net: Fine-Grained Multimodal Sentiment Graph Network for Rumor Detection
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems
Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection
Selecting the Most Influential Nodes in Social Networks
Multi-modal Face Anti-spoofing Using Multi-fusion Network and Global Depth-wise Convolution
Multi-objective evolutionary optimization of exemplar-based classifiers: A PNN test case
Byzantine-Resilient Decentralized Parallel Policy Gradient
Fault detection system in gas lift well based on artificial immune system
Robust Graph Classification with Instance Independent Noisy Labels: An EM Approach using Kolmogorov-Arnold Networks
Monitoring term drift based on semantic consistency in an evolving vector field
Attention-based 3D Object Reconstruction from a Single Image
A Machine Learning Approach to Malicious JavaScript Detection using Fixed Length Vector Representation
An Implicit Relationship Extraction Model Based on Improved Attention and Gated Decoding for Intent Recognition and Slot Filling
Intelligent Call Transfer Based on Reinforcement Learning
Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction
Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series
A Demonstration of the Efficiency of Developmental Learning
Improvement of Low-Contrast Objective Detecting Capability for YOLOv5 Based on Receptive Field Enhancement and Redundant Feature Reuse
An MCTS-based Adversarial Training Method for Image Recognition
A bidirectional associative memory based on cortical spiking neurons using temporal coding
A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities
Real-time 3D pose and correspondence from stereo image sequences by combinatorial optimization
Learning Bayesian Network leveled-structure from support based XML frequent itemsets
Computational neurogenetic modelling: gene networks within neural networks
LP-DWLA-ViT: Light-Patch and Dynamic window local attention Vision Transformer network for Alzheimer's disease classification
A Deep Neural Network approach for Voice Activity Detection in multi-room domestic scenarios
Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting
Quality Assured Efficient Engineering of Feedforward Neural Networks with Supervised Learning (QUEEN) Evaluated with the 'Pima Indians Diabetes Database'
Towards Robust Neurosymbolic Relational Learning
Neural Networks Applied to Adjustment and Combination of the Control Actions for the Cold Rolling Process
Entropy-Constrained Training of Deep Neural Networks
Object proposals using SVM-based integrated model
Grid Feature Jigsaw for Self-supervised Image Clustering
A concept-drift perspective on prototype selection and generation
C2SFormer: Rethinking the Local-Global Design for Efficient Visual Recognition Model
A Novel Clustering Algorithm based on Directional Propagation of Cluster Labels
Evolutionary approach to ICA-R
Learning Cyclic Oscillation By Digital Type Recurrent Neural Network
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis
Estimating Individual Causal Treatment Effect by Variable Decomposition
Neural network disturbance observer based controller of an electrically driven stewart platform using backstepping for active vibration isolation
Towards emotion-based reputation guessing learning agents
Traffic sign recognition with multi-scale Convolutional Networks
Face recognition through a chaotic neural network model
Generative Adversarial Network-Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification
A wavelet-based neuro-fuzzy system and its applications
Discrete-time neural identifier for electrically driven nonholonomic mobile robots
Deeper Monocular Depth Prediction via Long and Short Skip Connection
Time Series Anomaly Detection Based on Self-Masked Reconstruction Error With E-AVAE
Sampling-Enhanced Multi-View Graph Contrastive Learning for Coordination Detection
Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather
A Recurrent S_CMAC_GBF based estimation for global solar radiation from environmental information
A study on word-level multi-script identification from video frames
Parallel MPI implementation of training algorithms for medium-size feedforward neural networks
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning
Communication-Memory-Efficient Decentralized Learning For Audio Representation
Clustering of symbolic interval data based on a single adaptive L1 distance
Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform
Uncertain Inference Using Ordinal Classification in Deep Networks for Acoustic Localization
Exploring Quantum Machine Learning for Explainable Malware Detection
Zero-Shot Text Classification with Semantically Extended Textual Entailment
Cross-Domain Chinese Event Argument Extraction based on Attention-Enhanced Machine Reading Comprehension
RAN: A Relation-aware Network for Relation Extraction
Chaotic associative recalls for fixed point attractor patterns
Analog system modeling based on a double modified complex valued neural network
Using multiplicative algorithms to build cascade correlation networks
Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
Graph Attention Network with Cross-Modal Interaction for Rumor Detection
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent
PG-CE: A Progressive Generation Dataset with Constraint Enhancement for Controllable Text Generation
A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition
Classification of the surface EMG signal using RQA based representations
Improving load forecast accuracy by clustering consumers using smart meter data
Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA
Learning and ensembling lexicographic preference trees with multiple kernels