yusuke1997/dblp-id-title huggingface dataset:
Feature selection based on feature curve of subclass problem
A Machine Learning-based Forensic Discriminator of Pornographic and Bikini Images
Multi-Layer Perceptron with positive and negative pulse glial chain for solving two-spirals problem
Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams
Guiding ChatGPT to Generate Salient Domain Summaries
Artificial neural networks methods for identification of the most relevant genes from gene expression array data
Adaptive series-parallel identification of dynamical systems with uncertain bifurcations and chaos
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning
Local correlations as a translationally invariant feature space for target detection
Interpretive Reservoir: A Preliminary Study on The Association Between Artificial Neural Network and Biological Neural Network
A novel target recognition scheme for WSNs
Utilizing Computational Intelligence in Estimating Software Readiness
A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production
Exploring Data Augmentation to Improve Music Genre Classification with ConvNets
An Online Recurring Concept Meta-learning For Evolving Streams
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection
Understanding cognitive training from chaotic neural networks and phase space
Stability analysis of fuzzy robot control without fuzzy rule base
Computing with transiently stable states
G2Vec: Spatial-Temporal Trajectory Generation Network based on Multi-Resolution Feature Correlation
Discriminant sparse coding with geometrical constraint
An Artificial Neural Networks Based Dynamic Decision Model for Time-Series Forecasting
A sequence based dynamic SOM model for text clustering
Quadripartite: Tackle Noisy Labels by Better Utilizing Uncertain Samples
Application of dynamic neural networks with exogenous input to industrial conditional monitoring
Insights on prediction of patients' response to anti-HIV therapies through machine learning
TSO-DETR: A Network for Small Object Detection of Cervical Cells in TCT Smear
Randomly Connected Neural Networks Displaying 1/f Spectra
Contrastive Learning Based Visual Representation Enhancement for Multimodal Machine Translation
OFA 2 : A Multi-Objective Perspective for the Once-for-All Neural Architecture Search
Sensor Errors Prediction Using Neural Networks
Operational experience with a neural network in the detection of explosives in checked airline luggage
Uniform histograms for change detection in multivariate data
Training deep neural networks with gradual deconvexification
A genetic algorithm based double layer neural network for solving quadratic bilevel programming problem
An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming
Quantum Collaborative K-means
Working of the brain and rationality in economic behavior
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator
Heterogeneous Graph Representation Learning Based on Multi-Relational Graphs
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning
A neuro-fuzzy based sensor and actuator fault estimation scheme for unknown nonlinear systems
PMMC: Prompt-based Multi-Modal Rumor Detection Model with Modality Conversion
Hierarchical Transformer-based Siamese Network for Related Trading Detection in Financial Market
Models of Self-Correlation Type Complex-Valued Associative Memories and Their Performance Comparison
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network
Multi-Reward Fusion: Learning from Other Policies through Distillation
Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations
2MF-Net: 3D Cardiac Keypoint Detection with Multi-scale and Multi-dimension Feature Fusion Net
Dynamic Scene Deblurring Using Enhanced Feature Fusion and Multi - Distillation Mechanism
A Novel Wireless CPG Based on Ergodic Sequential Logic Dynamics: Synchronization Analysis, Efficient FPGA Implementation, and Applications to Robot Control and Functional Electronic Stimulation
An MOS cell circuit for compact implementation of reaction-diffusion models
Supervised Contrastive Learning with Hard Negative Samples
Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling
Clustering of Single-cell RNA-seq Data using Multi-hop Graph Embedding Autoencoder
Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation
Understanding Neural Responses to Face Verification of Cross-Domain Representations
Fast Modular Neural Nets for Human Face Detection
ADSeq-Uplift: Attention-based Deep Uplift Modeling for Imbalanced Sequential Outcomes
Online Learning of a Real-World Quadcopter Attitude Dynamics using a Self-Organizing RBF Network
Fully-digital oscillatory associative memories enabled by non-volatile logic
Can We Build a Generative Model without Back Propagation Training?
A neural network model of decisions on the Asian Disease Problem
Development of invariant feature maps via a computational model of simple and complex cells
On the effectiveness of discretization on gene selection of microarray data
Topographic under-sampling for unbalanced distributions
Different inhibitory effects by dopaminergic modulation and global suppression of activity
SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks
Probabilistic temporal bilinear model for temporal dynamic recommender systems
Adaptive Retraining for Neural Network Robustness in Classification
Camera Bias in a Fine Grained Classification Task
Rapid rhythmic entrainment in bio-inspired central pattern generators
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios
Zero-Shot Learning with Missing Attributes using Semantic Correlations
VDCL: A supervised text classification method based on virtual adversarial and contrast learning
A class of interval type-2 fuzzy neural networks illustrated with application to non-linear identification
Finding Cycles in Graph: A Unified Approach for Various NER Tasks
Dynamical properties of neural nets using competitive activation mechanisms
Inpainting-Driven Mask Optimization for Object Removal
DeepSign: Deep Learning based Traffic Sign Recognition
Facial expression recognition using 2-D DCT of binarized edge images and constructive feedforward neural networks
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
Neural network approaches to personal change in psychotherapy
Handwriting recognition using supervised neural networks
Link prediction based hybrid recommendation system using user-page preference graphs
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons
AnyStyler: Adding Style Control in Diffusion Models to Any Modality Stylization
Strategic approach for Multiple-MLP Ensemble Re-RX algorithm
Bayesian Multi-task Learning for Dynamic Time Series Prediction
Empowering LLMs with Parameterized Skills for Adversarial Long-Horizon Planning
Terrain Classification for Autonomous Vehicles Using Bat-Inspired Echolocation
Weight Compander: A Simple Weight Reparameterization for Regularization
Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems
Improving Concrete Mix Design Predictions with Machine Learning Algorithms
Targeted Data Poisoning Attacks Against Continual Learning Neural Networks
Neural network and principal component analyses of highly variable myocardial mechanical waveforms derived from echocardiographic ultrasound images
Fast and Accurate Face Detection using Feature Pyramid with Grid Anchors
F-AttNet: Towards Multi-scale Feature Fusion for Fashion Attribute Prediction
Semi-supervised medical image classification based on CamMix
Zero-shot Decentralized Federated Learning
Instance Fusion for Addressing Imbalanced Camera and Radar Data
Adaptive control of wind turbine generator system based on RBF-PID neural network
Segregation of motion aftereffect following adaptation to transparent motion
Are probabilistic spiking neural networks suitable for reservoir computing?
Interpretability vs. Complexity: The Friction in Deep Neural Networks
Observation-Time-Action Deep Stacking Strategy: Solving Partial Observability Problems with Visual Input
Is the connectionist notion of subconcepts flawed?
Contrastive Denoising Variational Recurrent Neural Network for Noise-Agnostic State Modeling of Soft Robotic Systems
MMCDSR: a Multimodal and Cross-domain Fusion Framework for Sequential Recommendation
Automated detection of COVID-19 on a small dataset of chest CT images using metric learning
Controlling the Estimation Bias of Deep Deterministic Policy Gradient by Screening for Preferential Critics
AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
Intelligent Robust Control for Second-Order Non-Linear Systems with Smart Gain Tuning based on Reinforcement Learning
FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation
Knowledge Probing on Decoder-Only Models in Medical Domain
Multi-layer unsupervised learning in a spiking convolutional neural network
Vertex reconstruction of neutrino interactions using deep learning
A legged central pattern generation model for autonomous gait transition
Learning Methods for DNA Binding in Computational Biology
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities
An Image Hiding Scheme based on Bayesian Optimization Reinforcement Learning and Chaotic Encryption
Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network
Selection of learning experts
Fuzzy Overlapping Community Guided Subgraph Neural Network for Graph Classification
Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification
DIANA: Drone Imagery for Archipelago Navigation and Analysis for Maritime Object Detection
Study of Site-Specific Bone Formation Using a Neural Network Model
Repository-Level Code Smell Detection Based on Multi-Scale Code Information and LLM Assistance
HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks
Dynamic Human Gait VGRF Reference Profile Generation via Extreme Learning Machine
MTSFormer: Multimodal Spectral-Sequential Fusion Network for Traffic Flow Prediction
Designing a New Multilayer Feedforward Modular Network for Classification Problems
A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation
Automatic graphic logo detection via Fast Region-based Convolutional Networks
End-to-end Learning Method for Self-Driving Cars with Trajectory Recovery Using a Path-following Function
Supervised Information Maximization by Weighted Distance
Piecewise multi-classification support vector machines
A framework for content-based retrieval of EEG with applications to neuroscience and beyond
Fuzzy weighted support vector regression for multiple linear model estimation : application to object tracking in image sequences
Adaptive Linear Regression for Data Stream
Towards real-time robot simulation on uneven terrain using neural networks
Orchestrating Spiking Dynamics with Dendritic Activation Functionality for Bolstering Expressivity and Learning Efficiency
Combinative neural-network-based classifiers for optical handwritten character and letter recognition
Deep Q-Learning for Illumination and Rotation Invariant Face Detection
Bagging Predictors for Estimation of Software Project Effort
NAO Index Prediction using LSTM and ConvLSTM Networks Coupled with Discrete Wavelet Transform
Multi-modal Information Extraction and Fusion with Convolutional Neural Networks
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference
SKGSUM: Abstractive Document Summarization with Semantic Knowledge Graphs
Support vector machines for multi-class signal classification with unbalanced samples
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting
On the conditions of outer-supervised feedforward neural networks for null cost learning
Adaptive Federated Learning for EEG Emotion Recognition
Ranking-based Federated POI Recommendation with Geographic Effect
Image-based global localization using VG-RAM Weightless Neural Networks
Unsupervised heterogeneous transfer fault diagnosis based on graph Laplacian common subspace
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning
A Convolutional Neural Network with Two-Channel Input for Image Super-Resolution
3D Object Detection on large-scale dataset
Aspect-based sentiment analysis using ABPCS model and SVMP perf in Chinese reviews
Scene Attention Mechanism for Remote Sensing Image Caption Generation
Modeling pavlovian conditioning with multiple neuronal populations
Parallel Implementation of Gradient-Based Neural Networks for SVM Training
Learning Dynamic Coherence with Graph Attention Network for Biomedical Entity Linking
Synaptic amplification by axo-shaft synapses in a pyramidal neuron model
A Hybrid Neural Network/Analog Model for Climate Downscaling
Approaching miRNA Family Classification Through Constructive Neural Networks
Weakly Supervised Video Anomaly Detection Via Contrastive Clustering
Singing voice recognition based on matching of spectrogram pattern
A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data
Multi-layer perceptrons with discrete weights
Factorization for projective and metric reconstruction via truncated nuclear norm
Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters
Clustering variables by classical approaches and neural network Boolean factor analysis
Synthetic-to-Real Domain Adaptation for Object Instance Segmentation
HWA-DETR: Pedestrian Detection Algorithm Based on High-Width Modulation Attention and Branch Decoupling Reparameters for Improving DETR
Autonomie decision making based on bayesian networks and ontologies
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation
Performance analysis of nonlinear echo state network readouts in signal processing tasks
A robotic eye controller based on cooperative neural agents
The Effect of Training Data Quantity on Monte Carlo Dropout Uncertainty Quantification in Deep Learning
Dynamics of the Generalized Lotto-Type Competitive Learning
SqueezeGAN: Image to Image Translation With Minimum Parameters
Particle swarm optimization for convolved Gaussian process models
Application of Cover's theorem to the evaluation of the performance of CI observers
SPSS: A Salience-based Poisoning Selection Strategy for Selecting Backdoor Attack Victims
CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence
Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering
Split-word Architecture in Recurrent Neural Networks POS-Tagging
A Quantum Activation Function for Neural Networks: Proposal and Implementation
Neural control for a solid waste incinerator
ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection
Centroid stability with K-means fast learning artificial neural networks
Look longer to see better: Audio-visual event localization by exploiting long-term correlation
Focus of Attention in a Neural Network Using Meta Knowledge
ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition
Genetic Algorithms for Support Vector Machine Model Selection
Neural Architecture Search via Combinatorial Multi-Armed Bandit
Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability
A Study of Linear Programming and Reinforcement Learning for One-Shot Game in Smart Grid Security
A hybrid propositional-embodied cognitive architecture for human-robot cooperation
Learning transmission delays in spiking neural networks: A novel approach to sequence learning based on spike delay variance
DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting
A self-organizing map for concept classification in information retrieval
Coloring black boxes: visualization of neural network decisions
Enhancing SOM digital music archives using Scatter-Gather
Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style
How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain
CS-LightGCL: Composition-Supervised LightGCL for Interactive Web API Recommendation
Deep neural networks for Mandarin tone recognition
Control of Chaotic Behavior with ANN
A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods
Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning
RAD: Reinforced Attention Decoder Model On Question Generation
Training neural networks with policy gradient
Combining Neural Networks, Fuzzy Sets, and Evidence Theory Based Approaches for Analyzing Color Images
Towards using neural networks to perform object-oriented function approximation
RLS lattice algorithm using gradient based variable forgetting factor
Mode-locking in a network of kuramoto-like oscillators
Learning Knowledge Graph Embedding in Semantic Space: A Novel Bi-linear Semantic Matching Method
Generalization in Multimodal Language Learning from Simulation
Neural network models based on regularization techniques for off-line robot manipulator path planning
Single View Distortion Correction using Semantic Guidance
Learning Convolutional Neural Networks in presence of Concept Drift
Unlocking the Potential of Convolutional Dynamics: A Novel Approach to Time Series Forecasting
Dependency Based Bilingual word Embeddings without word alignment
Optimization of ANFIS with Applications in Machine Defect Severity Classification
A Local Optima Network Analysis of the Feedforward Neural Architecture Space
Characterizing human gene splice sites using evolved regular expressions
A hybrid predictor for time series prediction
Phase-space based short-term load forecasting for deregulated electric power industry
Multiclass piecewise-linear SVMs based on division of data space for determining the reinforcement degrees of large-scale structures
Optimization on Support Vector Machines
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension
Emergent Turing Machine as a General Purpose Approximator
Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning
Robust Anomaly Detection with Spatio-temporal Representation Learning for Multivariate Time Series
Correlated Mixed Membership Modeling for Somatic Mutations
CBLA: Empowering Virtual Sensor Nodes with Zero Deployment Costs for SHM Systems
Optimising the overall power usage on the SpiNNaker neuromimetic platform
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection
Negative correlation learning for classification ensembles
Multi-Grained Selection and Fusion for Fine-Grained Image Representation
Pattern Matching in High Energy Physics by Using Neural Network and Genetic Algorithm
A 'Recruiting Neural-Gas' for Function Approximation
Time-Decay Dynamic Graph Neural Network for Multivariate Time Series Forecasting
Global optimisation methods for choosing the connectivity pattern of N-tuple classifiers
Predicting Gentrification in Mexico City using Neural Networks
An Outlier Detection Algorithm based on KNN-kernel Density Estimation
Deep sleep: understanding the process of hippocampal playback and plasticity
Psychophysical test of a tunable retina encoder for retina implants
NILMixer: A Novel Multi-Seq2Seq Model for Load Disaggregation in Long-Term Windows
Neuronet's method of weighted residuals for computer simulation of hydrodynamics problems
Multi-Scale Temporal Relations and Segmented Channel Attention for Video Anomaly Detection
Evolutionary hybrid composition of activation functions in feedforward neural networks
Neuromorphic algorithms on clusters of PlayStation 3s
Multi-Hierarchy Attribute Relationship Mining Based Outlier Detection for Categorical Data
Gated Recurrent Units Based Neural Network For Tool Condition Monitoring
Modulation ratio of layer 2=3 cells in primary visual cortex: A model based study
Dynamic selection of classifiers for Content Based Image Retrieval
The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller
Evolutionary Community Detection in Dynamic Social Networks
Region Attention Network For Single Image Super-resolution
Constructing prediction intervals for neural network metamodels of complex systems
An Efficient Bayesian Neural Network for Multiple Data Streams
Multi-Label Learning with Missing Features
Assignment kernels for chemical compounds
Time series prediction with evolvable block-based neural networks
Smart Contract Vulnerability Detection Based on Inverted Residual Network and Transfer Learning
Objective quality assessment of retinal images based on texture features
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning
Better Learning and Fusing Multi-Granularity Context Representations for Relevant Response Generation
Proximal Stochastic AUC Maximization
Vibration analysis via neural network inverse models to determine aircraft engine unbalance condition
Evolutionary training of a biologically realistic spino-neuromuscular system
Information Theoretic Vector Quantization with Fixed Point Updates
Multi-similarity clustering algorithm by ordered pair of normalized real numbers
A Multi-path CNN for Automated Skin Lesion Segmentation
ECAS-II: A hybrid algorithm for the construction of multidimensional image segmenters
Identity-Preserving Realistic Talking Face Generation
Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps
VFCAnet: Voxel-wise Fusion and Channel-wise Attention Network for 3D Semantic Occupancy Prediction in Autonomous Driving
A representative validation of a neural 3G admission control through rules extraction
Online compressed robust PCA
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
Model Compression in Object Detection
SAGE: Semantic-Aware Global Explanations for Named Entity Recognition
Synchronization of the neural response to noisy periodic synaptic input
Competitive learning's global search property
Multi-scale Collaborative Diffusion Autoencoder
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications
Traffic sign detection based on convolutional neural networks
Wind Speed and Solar Irradiance Prediction Using Advanced Neuro-Fuzzy Inference System
TMMM: Transformer in Multimodal Sentiment Analysis under Missing Modalities
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects
Algorithm Topological Structure Search Based on Optimization of Mathematical Operation-Level Continuous Differentiable Search Framework
Estimate traffic control patterns using a hybrid neural network
A multiple BAM for hetero-association and multisensory integration modelling
SalientPoint: A Self-Supervised Keypoint Detection Based on Saliency of Descriptor
End-to-End Event Factuality Identification with Cross-Lingual Information