yusuke1997/dblp-id-title huggingface dataset:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning
Pattern Analysis in Drilling Reports using Optimum-Path Forest
Memristor crossbar deep network implementation based on a Convolutional neural network
FTC-Net: Fourier Transform Convolution for Multivariate Time Series Classification in Human Activity Recognition
Continuous variables segmentation and reordering for optimal performance on binary classification tasks
MMFENet:Multi-Modal Feature Enhancement Network with Transformer for Human-Object Interaction Detection
Flexible parametric modelling of the hazard function in breast cancer studies
Planning-driven behavior selection network for controlling a humanoid robot
Image Recognition Systems Based on Random Local Descriptors
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification
Dynamic Attention and Bi-directional Fusion for Safety Helmet Wearing Detection
Multiple interconnected Hopfield networks for intelligent global linearising control
One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection
Decentralized Multi-Agent Task Offloading in LEO Satellite Edge Computing
Accelerating convolutional neural networks by group-wise 2D-filter pruning
Efficient Encrypted Traffic Classification with Multiple Knowledge Distillation
Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task
The multi-phase method in fast learning algorithms
Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer
RAAM for Infinite Context-Free Languages
The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition
Time Series Segmentation Using an Adaptive Resource Allocating Vector Quantization Network Based on Change Detection
A Neural Network Approach for Visual Cryptography
Dual Learning based Multi-Objective Pairwise Ranking
Mastering the Output Frequency in Spiking Neural Networks
Multi-layer Structure Autoencoder for Deep Learning Using Kernel Method
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Sign-methods for training with imprecise error function and gradient values
Data Analysis and Confidence based on SVM Density Estimation
A direct fingerprint minutiae extraction approach based on convolutional neural networks
Face recognition by humans performed on basis of linguistic descriptors and neural networks
Support vector machine classifiers using RBF kernels with clustering-based centers and widths
Forecasting chaotic time series using neuro-fuzzy approach
A new, human-centered wheelchair system controlled by the EMG signal
3D maps representation using GNG
Time series forecasting by evolving artificial neural networks using genetic algorithms and differential evolution
Quantized mixture kernel least mean square
Class-specific kernel discriminant analysis based on Cholesky decomposition
Implementation of cell array neuro-processor by using FPGA
Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising
Dynamic event monitoring using unsupervised feature learning towards smart grid big data
Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting
KICA Feature Extraction in Application to FNN based Image Registration
Technical Debt predictive model through Temporal Convolutional Network
A comparative study of neural network to artificial noses
Incremental Learning with Differentiable Architecture and Forgetting Search
Analysis and prediction of time series using fuzzy transform
A versatile framework for labelling imagery with a large number of classes
Transfer learning for automated optical inspection
Chaotic complex-valued multidirectional associative memory with adaptive scaling factor
Kernel classifier with Correntropy loss
Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment
Relevance effect: Exploiting Bayesian networks to improve supervised learning
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors
A hybrid strategy for Chinese domain-specific terminology extraction
Subspace classifier in reproducing kernel Hilbert space
A QoS network architecture to interconnect large-scale VLSI neural networks
Augmented Neural Networks for modelling consumer indebtness
Improving Meta-Learning Classification with Prototype Enhancement
Modular expansion of the hidden layer in Single Layer Feedforward neural Networks
Electrical load forecasting using fast learning recurrent neural networks
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine
M2KD: Multi-Teacher Multi-Modal Knowledge Distillation for Aerial View Object Classification
Generic object recognition with local features: From bags to subspaces
Solving the puzzle problem using Hopfield neural network in conjunction tree search algorithm
Hierarchical Architecture for Multi-Agent Reinforcement Learning in Intelligent Game
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
Development of autonomic neural board for banknotes and advancement to palm prints recognition
Computing Hierarchical Complexity of the Brain from Electroencephalogram Signals: A Graph Convolutional Network-based Approach
Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objects
Genetic Optimization of ART Neural Network Architectures
HSDNet: Hybrid Super-Resolution Assisted Detection Network for Surface Defect Detection
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques
Efficient Radio Frequency Fingerprint Identification Using Spiking Neural Networks with Spike-based Self-Attention Mechanism
A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization
Integrating extra knowledge into word embedding models for biomedical NLP tasks
A fast learning variable lambda TD model: Used to realize home aware robot navigation
Evaluation Ranking is More Important for NAS
Low complexity iris recognition based on wavelet probabilistic neural networks
The use of optical and sonar images in the human and dolphin brain for image classification
Active testing for SVM parameter selection
Chaotic associative memory and private v-mails
MYOLO-Drone: Lightweight Small Object Detection Network for Drone-Based Applications
Melody retrieval by self-organizing map with refractoriness which has robustness for fluctuation of key input
Self-Supervised Vision Transformers for Scalable Anomaly Detection over Images
IPI-CVx: Explainable and Robust Detection of Intestinal Parasites Using Augmentation-Based Supervised Target Learning
OMKT: Projection based bounded on-line multiple kernel tracker
On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks
Noise Space Optimization for GANs
Hybrid Evolutionary Framework for Selection of Genes Predicting Breast Cancer Relapse
Semi-supervised saliency classifier based on a linear feedback control system model
SeTemAPR: Incorporating Semantic Knowledge in Template-based Neural Program Repair
Multi-view Construction for Clustering Based on Feature set Partitioning
Classification with rejection based on various SVM techniques
Image Purification Networks: Real-time Style Transfer with Semantics through Feed-forward Synthesis
Omni-V2X: A Vision-Language Model for Actionable Insights in Vehicle-to-Everything Systems
Motion estimation based on point correspondence using neural network
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation
Evolutionary algorithm for training compact single hidden layer feedforward neural networks
A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks
Edge-Optimized Non-Intrusive Load Monitoring Using Dependency Graph-Based Structural Pruning
Federated learning with incremental clustering for heterogeneous data
A pruning structure of self-organizing HCMAC neural network classifier
Deep learning using partitioned data vectors
Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware
Dual-Channel Semantic and Syntactic Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
How Long Should LLMs Generate a Thought in Reasoning Framework
Measuring impacts using Support Vector Machines on a standing humanoid robot
Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming
Post-earthquake Damage Assessment of Buildings Exploiting Data Fusion
Multi class support vector machine implementation to intrusion detection
Multi-Modal Dialogue Policy Learning for Dynamic and Co-operative Goal Setting
Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning
On Combining Backpropagation with Boosting
LLM-based Interactive Imitation Learning for Robotic Manipulation
Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection
Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons
Fast and Efficient Deep Sparse Multi-Strength Spiking Neural Networks with Dynamic Pruning
Enhancing Rumor Detection via Multi-modal User Credibility Learning
Function approximation capability of a novel fuzzy flip-flop based neural network
A Word and Local Feature Aware Network for Chinese Spoken Language Understanding
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents
Quantifying the Effect of Learning on Recurrent Spikin Neurons
Beating the Stock Market with a Deep Reinforcement Learning Day Trading System
Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system
Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication
Membership Inference Attacks against Fine-Tuned Stable Diffusion Models Based on Semantic Loss Trajectory
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches
Analysis of phase transitions in KIV with amygdala during simulated navigation control
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
Extreme events in small ensemble of bursting neurons with chemical and electrical couplings
Deep Reinforcement Learning for Optimal Sailing Upwind
A three dimensional localization algorithm using a mobile anchor node under wireless channel
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
Scene Classification in Remote Sensing Images using Dynamic Kernels
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder
A hybrid optimization method for acceleration of building linear classification models
Weakly Supervised Learning Applied for Airway Patency Identification in Drug-Induced Sleep Endoscopy Videos
Evaluation of Heart Disease Diagnosis Approach using ECG Images
On efficient selection of binary classifiers for min-max modular classifier
A neural wake-sleep learning architecture for associating robotic facial emotions
BP-STFNet: A Hybrid Time-Frequency Domain Neural Network for Blood Pressure Estimation from Multi-channel BCG Signals
2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017
Solving a real large scale mid-term scheduling for power plants via hybrid intelligent neural networks systems
Forecasting Distillation: Enhancing 3D Human Motion Prediction with Guidance Regularization
Development of Robot Control Interface with Multi-Bandwidth Communication
From Coarse to Fine: A Two-Stage Lexically Constrained Translation Method Based on Multi-Task Learning
An online actor-critic learning approach with Levenberg-Marquardt algorithm
Improvement in service roboat's interaction through case based reasoning
Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles
Clustering Vehicle Trajectories with Hidden Markov Models Application to Automated Traffic Safety Analysis
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question Answering
COMC: A Framework for Online Cross-domain Multistream Classification
Fly-inspired sensory feedback in a reaction-diffusion neural system for locomotion control in a hexapod robot
Stationarity of Matrix Relevance LVQ
CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting
Towards Dual-Modal Crowd Density Forecasting in Transportation Building
OPAM: Online Purchasing-behavior Analysis using Machine learning
A Graph Regularized Point Process Model For Event Propagation Sequence
Adaptively Compressed Swarm Learning for Distributed Traffic Prediction over IoV-Web3.0
HeRF: A Hierarchical Framework for Efficient and Extendable New View Synthesis
Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion
Normal sparse Deep Belief Network
Climbing fibre Purkinje cell twins are found
Bidirectional ARTMAP: an artificial mirror neuron system
A sequential learning algorithm for meta-cognitive neuro-fuzzy inference system for classification problems
First-Order and Multi-Stage First-Order Image Subsampling Using a FANN-Based Pattern Matching Method
Spiking neuron model of basal forebrain enhancement of visual attention
Cross Message Passing Graph Neural Network
Dual-Dimensional Adversarial Attacks: A Novel Spatial and Temporal Attack Strategy for Multi-Object Tracking
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification
An adaptive Normalized Gaussian Network and its application to online category learning
Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas
Turing Computation with Neural Networks Composed of Synfire Rings
Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach
Stochastic least squares learning for deep architectures
A Hybrid Context-aware Framework to Detect Abnormal Human Daily Living Behavior
DECSEFE-Org: a hierarchical AI-based framework for automatic DEtection, Classification, SEgmentation, and Feature Extraction of Organoids
FigureNet : A Deep Learning model for Question-Answering on Scientific Plots
A SVM approach for detection of hemorrhages in background diabetic retinopathy
An active vision system for navigation in a natural environment
Using Autoencoders for Anomaly Detection in Hard Disk Drives
Improved Snake Model for Fast Image Segmentation
Complex Network-Based Data Classification Using Minimum Spanning Tree Metric and Optimization
Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking
Discourse Features Enhance Detection of Document-Level Machine-Generated Content
Stability-aware Neuromorphic Computation
SO-DETR: Leveraging Dual-Domain Features and Knowledge Distillation for Small Object Detection
Evolving Clonal Adaptive Resonance Theory based on ECOS theory
A novel deep learning by combining discriminative model with generative model
Comparative performance analysis of eight blind source separation methods on radiocommunications signals
Smartphone battery saving by bit-based hypothesis spaces and local Rademacher Complexities
Special Symbol Attacks On NLP Systems
Writer-independent Handwritten Signature Verification based on One-Class SVM classifier
Vision-based Spatiotemporal Learning for Human Activity Recognition
Multi-view Fake News Detection Model Based on Dynamic Hypergraph
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems
The identification and extraction of itemset support defined by the weight matrix of a Self-Organising Map
Training Reformulated Product Units in Hybrid Neural Networks
EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks
The design of a bionic sensory chip based on the CNN model derived from the Mammalian retina
Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss
Stock price pattern recognition-a recurrent neural network approach
FM-EVT:Feedforward Neural Network and Multilayer Perceptron Classifier Enhanced Event Transformer
A 3D Convolutional Neural Network for Emotion Recognition based on EEG Signals
On the capacity of three-layer networks
An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation
Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation
An optimization approach to understanding structure-function relationships in the visual cortex
Sparse Matrix Reordering Method Selection with Parallel Computing and Deep Learning
Generating Natural Video Descriptions using Semantic Gate
Design of experiments for MR damper modelling
Target detection based on Parameter Derived Network
Information coding with neural ensembles for a mobile robot
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
A conceptual modeling of flocking-regulated multi-agent reinforcement learning
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit
Meta-Path based Nonnegative Matrix Factorization for clustering on multi-type relational data
Self-organizing systems for knowledge discovery in large databases
Compare Network with Task-dependent Embeddings for Few-shot Learning
Deep Unfolding for Iterative Stripe Noise Removal
LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition
Which features trigger action potentials in cortical neurons in vivo?
Reinforcement Learning Distillation: Adaptive Weight Optimization for Knowledge Transfer
Gradient Sparsification For Masked Fine-Tuning of Transformers
An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
DEO: Jailbreak a Black-box Multimodal Large Language Model with Dual-Embedding Alignment
Introduction of a Hebbian unsupervised learning algorithm to boost the encoding capacity of Hopfield networks
A new hybrid swarm optimization algorithm for power system vulnerability analysis and sensor network deployment
Iterative Stacking Regression for Materials Properties Prediction
Single Image Dehazing via Multi-Scale Large Kernel Convolutional Neural Networks
Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection
AdOpt: analog VLSI stochastic optimization for adaptive optics
3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video
An investigation into the source of power for AIRS, an artificial immune classification system
Adaptive double self-organizing map and its application in gene expression data
Discriminant Kernels derived from the optimum nonlinear discriminant analysis
Optimize collapsed Gibbs sampling for biterm topic model by alias method
An Oriented Object Detector towards Diatoms
Layer Dependent Artificial Representation and Selectivity of Model Neurons in the AlexNet Model Trained for Object Classification
New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks
NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples
Cellular Neural Network for Associative Memory and Its Application to Braille Image Recognition
Using artificial neural network for outflow estimation in an ungauged area
A robust nonlinear projection method using the neural gas network
Batch linear manifold topographic map with regional dimensionality estimation
Is High Resolution Representation More Effective for Content Based Image Classification?
A brief review of document image retrieval methods: Recent advances
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
A reinforcement learning algorithm to improve scheduling search heuristics with the SVM
Time Series Prediction as a Problem of Missing Values: Application to ESTSP2007 and NN3 Competition Benchmarks
VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping
Statistically non-sparse decomposition of two underdetermined audio mixtures
On retrieval performance of associative memory by Complex-valued Synergetic Computer
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting
Adaptive optimal tracking control of unknown nonlinear systems using system augmentation
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model
MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport
A Dynamic Neural Network-based Reaction Wheel Fault Diagnosis for Satellites
Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification
Thermal comfort control based on MEC algorithm for HVAC systems
Open-Set Intrusion Detection with MinMax Autoencoder and Pseudo Extreme Value Machine
Enhancing Flash Flood Forecasting and Understanding Hydrosystem Dynamics for Small Urban Basins in the framework of Explainable Artificial Intelligence- Case Study of the Cadereau d'Alès, Nîmes
A simple design and implementation of reconfigurable neural networks
A new momentum minimization decomposition method for support vector machines
Chaotic Quaternionic Associative Memory
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
Recognizing Chinese Discourse Relations Based on Multi-Perspective and Hierarchical Modeling
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data
Pre-Training 3D Convolutional Neural Networks for Prodromal Alzheimer's Disease Classification
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach
A connectivity gradient in structured reservoir computing predicts a hierarchy for mixed selectivity in human cortex
Behavior of Fatigable SOM and its Application to Clustering
Probability Density Function Estimation Using Orthogonal Forward Regression
A neuroscientific approach to choice modeling: Electroencephalogram (EEG) and user preferences
Pulse-processing neural net hardware with selectable topology and adaptive weights and delays
Using regional homogeneity from functional MRI for diagnosis of ASD among males
Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents
Non-information-maximizing neural coding
Dual Dynamic Attention Network for Flexible Job Scheduling with Reinforcement Learning
Generalized Reference Kernel for One-class Classification
Demystification of Few-shot and One-shot Learning
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models
Improving automatic cardiac arrhythmia classification: Joining temporal-VCG, complex networks and SVM classifier
A new approach for isolated word recognition using dynamic synapse neural networks
Learning nonlinear state-space models for control
Electricity fraud detection using committee semi-supervised learning
Incremental anomaly identification by adapted SVM method
Optimizing BioTac Simulation for Realistic Tactile Perception
Subspace methods in object/face recognition
Neural-network cross-coupled control system with application on circular tracking of linear motor X-Y table
O(1) time sorting algorithms using spiking neurons