yusuke1997/dblp-id-title huggingface dataset:
Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation
A fusion design of linear feedforward neural networks for pattern classification
Efficient parameter selection for support vector machines in classification and regression via model-based global optimization
LSPNet: A Local Semantic Perception Network for Topic Segmentation
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Infrared and Visible Image Fusion with Dual Decomposition Features
Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets
Debiased Prototype Network for Adversarial Domain Adaptation
The inverse identification of neuromuscular system by using neural networks in elbow function self-correcting system
Power wind mill fault detection via one-class ν-SVM vibration signal analysis
Reinforced snap-drift learning for proxylet selection in active computer networks
Unsupervised Deep Imputed Hashing for Partial Cross-modal Retrieval
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system
Output characteristics of cellular neural networks using mixture template
The Defects Detection in Steel Coil End Face Based on SCED-Net
Improving accuracy of Gaussian mixture model classifiers with additional discriminative training
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection
Sparse algorithm for feed-forward neural networks
Adaptive Spatial Information Clustering for Image Segmentation
Learning to Rank with Deep Autoencoder Features
Bayesian regularized neural network for multiple gene expression pattern classification
Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network
Emotional state estimation using a modified gradient-based neural architecture with weighted estimates
Synergistic organization of action: A computational model
A Hybrid Handwritten Word Recognition Using Self-Organizing Feature Map, Discrete HMM, and Evolutionary Programming
Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain project
DyFusion-YOLO: An Enhanced Model for Small Object Detection in Aerial Imagery
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features
Artificial immune system application for solving dynamic optimization problems
Multi-objective optimization and Meta-learning for SVM parameter selection
Bio-inspired technique for improving machine learning speed and big data processing
Multimodal Neural Machine Translation for Mongolian to Chinese
Neuromorphic Translational Ego-motion Estimation using Log-Polar Motion Energy
A Computational Approach for Authorship Attribution on Multiple Languages
Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification
Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks
Towards Zero-Shot Generalization: Mutual Information-Guided Hierarchical Multi-Agent Coordination
ADP: Answer-oriented Distinction Perception for End-to-end Clarification Question Generation
Zero-Knowledge Attack for Replicating Protected Deep Neural Networks
Improving pseudorandom bit sequence generation and evaluation for secure Internet communications using neural network techniques
TrueHappiness: Neuromorphic emotion recognition on TrueNorth
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification
Structured clustering with automatic kernel adaptation
Video attention saliency mapping using pulse coupled neural network and optical flow
A modified direction feature for cursive character recognition
Improving Hierarchical Classification of Transposable Elements using Deep Neural Networks
A biologically inspired associative memory for artificial olfaction
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
DSE-YOLO: An Improved Road Damage Detection Model Based on YOLOv8
Enhancing Fault Localization via Causal Measurement Features
Arithmetical Evaluation System based on improved-YOLOv5 and CRNN networks
HL-HDR: Multi-Exposure High Dynamic Range Reconstruction with High-Low Frequency Decomposition
An Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding
On the Probability of Finding Local Minima in Optimization Problems
ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks
NEVE++: A neuro-evolutionary unlimited ensemble for adaptive learning
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising
Author Name Disambiguation Using Multiple Graph Attention Networks
AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
Evaluating Robustness Against Adversarial Attacks: A Representational Similarity Analysis Approach
SAM: A rethinking of prominent convolutional neural network architectures for visual object recognition
An innovative Positional Pattern Detection tool applied to GAL4 Binding Sites in yeast
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
Generalization-Aware Zero-Shot Neural Architecture Search for Self-Supervised Transformers
TSDet: End-to-End Method with Transformer for SAR Ship Detection
Cortical representation of information about visual attributes: one network or many?
Learning to Optimize with Dynamic Mode Decomposition
A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid
Cross-Modal Semantic Embedding Hashing for Unsupervised Retrieval
Variational Skill Embeddings for Meta Reinforcement Learning
Hybrid learning architecture for unobtrusive infrared tracking support
IFA-Net: Isomerous Feature-aware Network for Single-view 3D Reconstruction
Evolution of communication using symbol combination in populations of neural networks
Version Space Completeness for Novel Hypothesis Induction in Biomedical Applications
State initialization for recurrent neural network modeling of time-series data
On the (Un)Reliability of Privacy Policies in Android Apps
Face Age Transformation with Progressive Residual Adversarial Autoencoder
An intelligent analysis and prediction model for on-demand cloud computing systems
Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules
Non-destructive classification of watermelon ripeness using Mel-Frequency Cepstrum Coefficients and Multilayer Perceptrons
Constructing clinical scoring systems to determine the need for an oral glucose tolerance test
Enhancing Knowledge Tracing with Residual GRU and k-Attention for Student Response Prediction
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback
ADMM Consensus for Deep LSTM Networks
Classifying motor imagery in presence of speech
SentKB-BERT: Sentiment-filtered Knowledge-based Stance Detection
Design and Analysis of a Frequency-Driven LIF Model Neuron
Motor Control-Learning Model for Reaching Movements
Self-control dynamics for sparsely coded networks with synaptic noise
Multi-Faceted Negative Sample Mining for Grpah Contrastive Learning
Independent component analysis and high-order statistics for automatic artifact rejection
Querying representative points from a pool based on synthesized queries
A Shortcut-Stacked Document Encoder for Extractive Text Summarization
On the self-feedback controlled chaotic neural network and its application to N-Queen problem
Foreground-Aware Enhancement-Based Multimodal 3D Object Detection
Feature subset selection for automatically classifying anuran calls using sensor networks
Dynamical self-organization and formation of cortical maps
Noise-Aware Person Re-identification via Local Uncertainty Estimation
Improving Single-Step Adversarial Training By Local Smoothing
Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network
Measuring human comprehension from nonverbal behaviour using Artificial Neural Networks
Oscillator neural network model with distributed native frequencies
Learning a Rendezvous Task with Dynamic Joint Action Perception
Invariant object recognition based on a neural network of cascaded RCE nets
Fast adaptive k-means clustering: some empirical results
Temporal-Directed Multi-Graph Attention Network for Robust Phishing Detection in Blockchain
Sensor Fusion and Motion Planning with Unified Bird's-Eye View Representation for End-to-end Autonomous Driving
Training high-dimensional neural networks with cooperative particle swarm optimiser
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data
Concept drift detection for streaming data
Self-splitting modular neural network - domain partitioning at boundaries of trained regions
Generalized eigenvalue proximal support vector machines for outlier description
An Ensemble of Convolutional Neural Networks for Unbalanced Datasets: A case Study with Wagon Component Inspection
Fuzzy controlled VSC of battery storage system for seamless transition of microgrid between grid-tied and islanded mode
Experimental studies with a continually online trained artificial neural network controller for a turbogenerator
Exploiting Class Feature Alignment for Personalized Federated Learning in Mixed Skew Scenarios
Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching
Constraint Online Sequential Extreme Learning Machine for lifelong indoor localization system
Advancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks
Cascaded SOM: An Improved Technique for Automatic Email Classification
Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization
Continuous Optimization of Hyper-Parameters
Sparse kernelized vector quantization with local dependencies
EEG denoising with a recurrent quantum neural network for a brain-computer interface
Frequency-Aware Contrastive Loss for Self-Supervised EEG Seizure Detection
A Dual-path Spatial-Temporal Separation Framework for 3D Human Pose Estimation
An empirical analysis of Combined Dissimilarity Spaces
DSmith: Compiler Fuzzing through Generative Deep Learning Model with Attention
CMOS / CMOL architectures for spiking cortical column
A new pruning algorithm for neural network dimension analysis
On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy
A Biologically Plausible Audio-Visual Integration Model for Continual Learning
Automatic extraction of face contours
Jitter: Random Jittering Loss Function
A behavioral study of learning in standard SOM and in S-SOM
TNFIS: Tree-based neural fuzzy inference system
A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data
Incremental extraction of high-dimensional equivalence structures
Sonar spectrum recognition chip designed by evolutionary algorithm
Versatile Deep Learning Based Application for Time Series Imputation
Semi-supervised feature selection via multiobjective optimization
Classification of eddy current NDT data by probabilistic neural networks
Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry
Deep Multi-View Learning for Tire Recommendation
Automated Growcut for segmentation of endoscopic images
RBF neural networks with centers assignment via Karhunen-Loeve transform
An efficient sequential RBF network for bio-medical classification problems
An evolutionary approach for the clustering data problem
Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm
Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features
There Goes the Neighborhood: A Comparison of a "Just-in- Time" SOM with the Traditional Kohonen Map Applied to Segmenting US Medicare Beneficiaries
3D human face reconstruction with three images based on constrained ICA
Keyphrase Guided Beam Search for Neural Abstractive Text Summarization
Connectionist reinforcement learning for intelligent unit micro management in StarCraft
High Performance Machine Learning for Nation Wide Crop Classification
A novel stacked denoising autoencoder with swarm intelligence optimization for stock index prediction
Neural algorithms of path planning for mobile robots in transport systems
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks
Online learning using a Bayesian surprise metric
Evaluating Explanation Robustness to Model Pruning
Controlled Competitive Learning: Extending Competitive Learning to Supervised Learning
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients
Multi-objective Evolutionary Optimization of Neural Networks for Virtual Reality Visual Data Mining: Application to Hydrochemistry
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
Constrained optimal control of bilinear systems using neural network based HJB solution
HDResNet: Hierarchical-Decomposition Residual Network for Hierarchical Time Series Forecasting
Soft kernel spectral clustering
Evolution of Proxy Use in Neural Network Controllers for Crowd Modeling
Automated texture classification of marble shades with real-time PLC neural network implementation
BiTST: Transformer for Time Series Forecasting with Bi-level Routing Attention along a Single Dimension
Cell Attention Networks
FilterIE: A Joint multimodel information extraction model under two-stage visual data filtering
JSAC: A Novel Framework to Detect Malicious JavaScript via CNNs over AST and CFG
Learning motion-difference features using Gaussian restricted Boltzmann machines for efficient human action recognition
CDS-GAN: Unpaired Infrared to Visible Image Translation Using Cross-domain Regional Similarity Matching
Deep Multi-View Clustering via Enhanced Consistency and Specificity
Regression-based Music Emotion Prediction using Triplet Neural Networks
Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid
A compact network with improved generalization using wavelet basis function network for static non-linear functions
Shape features extraction from pulmonary nodules in X-ray CT images
Prototype based linear sub-manifold learning
Insty-GAN for Image-to-Image Location Transfer
Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation
Multiplicative Newton-Like Algorithm and Independent Component Analysis
Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons
Cross-modal retrieval based on Attention Embedded Variational Auto-Encoder
Leveraging Relational Information for Learning Weakly Disentangled Representations
PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud
Improving a Neural Network Classifier Ensemble with Multi-Task Learning
Commercial Property Tokenizing With Smart Contracts
Hierarchical Dirichlet Process Hidden Markov Model for unsupervised bioacoustic analysis
Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction
Artificial life system for optimization of nonconvex functions
A Gaussian Mixture Synapse Model for Time Varying Weight Spiking Neural Classifier
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition
Model Predictive Control Guided Reinforcement Learning Control Scheme
Co-regularized least square regression for multi-view multi-class classification
The Role of Brain Connectivity Patterns in Applying Connectome-Based Reservoir Computing to Neuroscience Tasks
Asymptotic Stability in Reservoir Computing
Signature verification with a syntactic neural net
Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning
Mongolian Sentiment Analysis for Isomorphism-enhanced Projection Word Embedding and BiDTCN
A hybrid coupled k-nearest neighbor algorithm on imbalance data
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training
Greedy forward selection algorithms to Sparse Gaussian Process Regression
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search
Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis
Test Time Training for 4D Medical Image Interpolation
Unveiling Genuine Emotions: Integrating Micro-Expressions and Physiological Signals for Enhanced Emotion Recognition
Design of Novel Deep Learning Models for Real-time Human Activity Recognition with Mobile Phones
Learning Image Relations with Contrast Association Networks
Abdominal CTA image analisys through active learning and decision random forests: Aplication to AAA segmentation
Ovarian cancer diagnosis using complementary learning fuzzy neural network
PSO based neural network for time series forecasting
A Neurobiological Schema Model for Contextual Awareness in Robotics
Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control
Unveiling Universal Forensics of Diffusion Models with Adversarial Perturbations
Bayesian ying-yang theory for empirical learning, regularization and model selection: general formulation
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Improving The Local Stability of Deep Model With Margin Losses
Visualization of topographical internal representation of learning robots
A Network-Based High Level Data Classification Technique
Attention-Based Difficulty Feature Enhancement for Knowledge Tracing
ST-DRN: Deep Residual Networks for Spatio-Temporal Metro Stations Crowd Flows Forecast
Chaotic Neural Network with Time Delay Term
Time Series Based Link Prediction
ANN validation system for ICU neonatal data
MSEU-Net: Multi-Scale Segmentation and Baseline Estimation in Fetal Heart Rate Time Series
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines
Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning
Single-Channel EEG Classification of Human Attention with Two-Branch Multiscale CNN and Transformer Model
Lightweight Underwater Sonar Target Detection Algorithm Based on Context Feature Fusion
Explorer based on brain computer interface
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks
Topological features in locally connected RBMs
Intelligent facial expression recognition with adaptive feature extraction for a humanoid robot
High-Resolution Recurrent Gated Fusion Network for 3D Pancreas Segmentation
Coarse-Grained Dynamic Differential Privacy Federated Learning based on D3QN
Emotion driven Crisis Response: A benchmark Setup for Multi-lingual Emotion Analysis in Disaster Situations
YOLO-HDM: Small Target Cell Micronucleus Detection Based on Re-parameterization Multi-layer Adaptive Feature Fusion
Application of SVM to Lyapunov function approximation
Anomaly Detection Method Based on Compressed Sensing and Multi-Channel Feature Fusion
Towards Robustness of Few-Shot Text Classifiers
Impulsive hybrid synchronization of chaotic discrete-time delayed neural networks
Functional Data Analysis as the Feature Representation for the Classification Problem in one or two dimensional spaces
Time-series Anonymization of Tabular Health Data using Generative Adversarial Network
Neural learning of driving environment prediction for vehicle power management
Using neural network emulations of model physics in numerical model ensembles
Research on High-Quality Prompt Engineering for Large Language Models in Software Defect Prediction
TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation
DTA: Deformable Temporal Attention for Video Recognition
SITD-NMT: Synchronous Inference NMT with Turing Re-Translation Detection
iPMDS: Interactive Probabilistic Multidimensional Scaling
Analog neural networks as asymptotically exact dynamic solvers
A wireless steady state visually evoked potential-based BCI eating assistive system
Neural Network Based on QBP and Its Performance
Dual Representation Space Optimization for Multi-Label Text Classification
A MOS circuit for depressing synapse and its application to contrast-invariant pattern classification and synchrony detection
Lightweight segmentation neural network for infrastructure maintenance in industrial digital twins
Design of a low-power, portable sensor system using embedded neural networks and hardware preprocessing
Layered URC fuzzy systems: a novel link between fuzzy systems and neural networks
A New Approach of Modifying SVM Outputs
Learning discriminant isomap for dimensionality reduction
Grouped Graph Neural Networks for Anomaly Detection in Time Series
Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework
Adaptive RBF Classifier for Object Recognition in Image Sequences
The role of temporal coding in the processing of relational information in the mind-brain
Uncovering the Authentic RF Fingerprint: Exploiting Random Window Slicing and Complex-Valued Network
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment
Complex-valued convolutional neural networks for real-valued image classification
Concept drift learning with alternating learners
Design of neural predictors using tools of chaos theory and Bayesian learning
Robust information clustering
Statistical Tests to Identify Virtual Concept Drifts
Sequential bootstrapped support vector machines - a SVM accelerator
ProARD: Progressive Adversarial Robustness Distillation: Provide Wide Range of Robust Students
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits
Anchor Your Embeddings Through the Storm: Mitigating Instance-to-Document Semantic Gap
Variance of the Gradient Also Matters: Privacy Leakage from Gradients
Feature Alignment and Reconstruction Constraints for Multimodal Sentiment Analysis
Pruned Sets for Multi-Label Stream Classification without True Labels
Adaptive Equilibrium Awareness Learning for Change Caption
Universal Readout for Graph Convolutional Neural Networks
A local density-based simultaneous two-level algorithm for topographic clustering
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors
Time series prediction with a weighted bidirectional multi-stream extended Kalman filter
Reinforcement learning and the frame problem
Decoding music-induced experienced emotions using functional magnetic resonance imaging - Preliminary results
Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm
Attention-Based Medical Knowledge Injection in Deep Image Classification Models
Noisy deep dictionary learning: Application to Alzheimer's Disease classification
Neural network-based shape recognition using generalized differential evolution training algorithm
Impromptu Accompaniment of Pop Music using Coupled Latent Variable Model with Binary Regularizer
A Joint Model with Contextual and Speaker Information for Conversational Causal Emotion Entailment
Object Recognition with Generic Self Organizing Feature Extractors and Fast Gabor Wavelet Transform
KAN-TSCN: A Kolmogorov-Arnold Networks Enhanced Framework for Temperature Forecasting
Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA)
Uncertainty-aware and Pseudo-supervised Guided Semi-supervised Liver Tumor Segmentation
SFD-Net:Synergizing Feature Fusion with HQ-Depth Maps for RGB-D Salient Object Detection
A multilayer perceptron approach for the retrieval of vertical temperature profiles from satellite radiation data
Quantitative feature evaluation using hybrid neural network and fuzzy logic approach
Personalized Federated Learning with Multi-branch Architecture
Multiple-start directed search for improved NN solution
G-Former: A Grouping Transformer for Weakly Supervised Point Cloud Segmentation
A practical SIM learning formulation with margin capacity control
Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions