yusuke1997/dblp-id-title huggingface dataset:
Similitude Attentive Relation Network for Click-Through Rate Prediction
An expert disambiguation method based on attributed graph clustering
Learning long-term dependencies using layered graph neural networks
A Real-Time Grasp Detection Network Based on Multi-scale RGB-D Fusion
An Echo State Network approach to structural health monitoring
Bilateral-brain-like Semantic and Syntactic Cognitive Network for Aspect-level Sentiment Analysis
Deep Inversion Method for Attacking Lifelong Learning Neural Networks
Improving Object Detection in Art Images Using Only Style Transfer
On-chip training of memristor based deep neural networks
A hybrid n-tuple neuro-fuzzy classifier for handwritten numerals recognition
A self-organizing network system forming memory from nonstationary probability distributions
Classifying Emitters in the High Frequency Range with Self-Organizing Maps
Quantile Interval Prediction of Power Load Based on DCS-Optimized TCN-BiLSTM-Attention Model
FPGA Based In-Situ CNN Transfer Learning of Wireless Signal Modulation for In-Orbit Deployment
Keystroke Analysis for User Identification using Deep Neural Networks
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices
Federated Transformed Sampling Comparison for Multi-client Missing Value Imputation
A spectral algorithm for topographical Co-clustering
On the role of long-range dependencies in learning protein secondary structure
Neural decoding with SVM and feature selection in a rat active tactile discrimination task
Cyber-Human Approach For Learning Human Intention And Shape Robotic Behavior Based On Task Demonstration
Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network
Tool wear monitoring using radial basis function neural network
Learning convolutive features for storage and transmission between networked sensors
Text Spotting with a Unified Transformer Decoder
Reasoning with spatial relations over high-content images
Interpreting Deep Models through the Lens of Data
Self-sustained activity in attractor networks using neuromorphic VLSI
mimicSAM: Guided Knowledge Transfer for SAM via Key Regions and Boundary Information
Learning With Spiking Neural Assembly-Based State Machine
A guided autowave PCNN for improved real time path planning
Data Augmentation with Knowledge Graph-to-Text and Virtual Adversary for Specialized-Domain Chinese NER
From here to AGI: A roadmap to the realization of human-level artificial general intelligence
Turning Bayesian model averaging into Bayesian model combination
Inductive Parallel Learning for Multiple Classification Problems
Categorization of faces using unsupervised feature extraction
Hybrid Polynomial Neural Network Based On Input Set Enhancement Strategy
Echo-state-network-based real-time wind speed estimation for wind power generation
Achieving stable subspace clustering by post-processing generic clustering results
Deep Learning Models for Gait Event Prediction
Hierarchical Mutual Information Analysis: Towards Multi-View Clustering in the Wild
Investigating Random Variations of the Forward-Forward Algorithm for Training Neural Networks
A Generative Data Augmentation Trained by Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation
EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search
Arm Motion Reconstruction via Feature Clustering in Joint Angle Space
Style-xLSTM for Facial Age Editing
Super-intelligence challenges and lossless visual representation of high-dimensional data
Vision based Injector Spray pattern Testing system
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy
Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions
Line-wise text identification in comic books: A support vector machine-based approach
Deep Structured Cross-Modal Anomaly Detection
Design of a time delay reservoir using stochastic logic: A feasibility study
LengthPath: The Length Reward of Knowledge Graph Reasoning Based on Deep Reinforcement Learning
Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor - One-to-many association ability -
A BERT-based Approach with Relation-aware Attention for Knowledge Base Question Answering
Human pose estimation based in-home lower body rehabilitation system
Attention-based Multi-proximity Preserved Attributed Network Embedding
RoMATer: An end-to-end robust multiaircraft tracker with transformer
A TOI based CNN with Location Regression for Insurance Contract Analysis
Investigation of Training-free Metrics for Multi-objective Neural Architecture Search
A Neural Network Controller for a Discrete-Time Nonlinear Non-Minimum Phase System
Learning Knowledge Graph Embedding with Batch Circle Loss
Detection of Typical Pronunciation Errors in Non-native English Speech Using Convolutional Recurrent Neural Networks
FCN+RL: A Fully Convolutional Network followed by Refinement Layers to Offline Handwritten Signature Segmentation
Optimized Random Vector Functional Link Network Approach Applied to Gas Turbine Emissions Prediction
Dynamical behavior of a chaotic neural and its application to optimization problems
Restricted Boltzmann machines for pre-training deep Gaussian networks
DeepReversion: Reversely Inferring the Original Face from the DeepFake Face
Pre-classification Module for an All-Season Image Retrieval System
Semantic Fusion Based Graph Network for Video Scene Detection
A Hybrid Traffic Flow Prediction Model Incorporating Spatio-Temporal Features
The two spirals benchmark: lessons from the hidden layers
Discrete Feature Selection via Bi-Level Optimization for Hyperparameter Tuning
Attempting to reduce the vanishing gradient effect through a novel recurrent multiscale architecture
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
Blind Source Separation Using a Matrix Pencil
Fault detection in a thermoplastic injection molding process using neural networks
Collaborative Clustering through Constrained Networks using Bandit Optimization
An incremental learning algorithm of Recursive Fisher Linear Discriminant
Stock market prediction exploiting microblog sentiment analysis
Benchmark for Detecting Child Pornography in Open Domain Dialogues Using Large Language Models
Dual Training for Transfer Learning: Application on Medieval Studies
Robust relevance vector machine with noise variance coefficient
Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning
To Comprehend the New: On Measuring the Freshness of a Document
ABNT: Attention Binary Navigation Tree for Fine-Grained Visual Classification
Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
On classifiability of wavelet features for EEG-based brain-computer interfaces
A Multi-model Ensemble Method Using CNN and Maximum Correntropy Criterion for Basal Cell Carcinoma and Seborrheic Keratoses Classification
Automatic road extraction from satellite imagery using LEGION networks
Differentially private feature selection
Nonlinear non-negative matrix factorization using deep learning
Optimized neuro genetic fast estimator (ONGFE) for efficient distributed intelligence instantiation within embedded systems
Discrete feature weighting & selection algorithm
Analysis of a memristor based 1T1M crossbar architecture
A neuromorphic architecture from single transistor neurons with organic bistable devices for weights
Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees
Discovering the Style Information in Texts via A Reinforced Decision Process
The Next Evolution in Funding Innovation
Pixle: a fast and effective black-box attack based on rearranging pixels
A morphological auto-associative memory based on dendritic computing
Learning "What" and "Where": An Interpretable Neural Encoding Model
Neural Architecture Search with Heterogeneous Representation Learning for Zero-Shot Multi-Label Text Classification
MRobust: A Method for Robustness against Adversarial Attacks on Deep Neural Networks
Dealing with Limited Access to Data: Comparison of Deep Learning Approaches
Order-aware exemplars for structuring video sets: Clustering, aligned matching and retrieval by similarity
Learning Boltzmann machine with EM-like method
Convolutional LSTM Network with Hierarchical Attention for Relation Classification in Clinical Texts
Transformer Gate Attention Model: An Improved Attention Model for Visual Question Answering
Deep High-order Asymmetric Supervised Hashing for Image Retrieval
SOD-DETR: Small Object Detection with Attention Enhancement and Multi-scale Feature Fusion for UAV Imagery
Frequency selective surface design based on iterative inversion of neural networks
Exploring Deep Models for Comprehension of Deictic Gesture-Word Combinations in Cognitive Robotics
FPGA Implementation of Support Vector Machines with Pseudo-Logarithmic Number Representation
Agents in neural uncertainty
Direct current motor control based on high order neural networks using stochastic estimation
Improving bag of visual words representations with genetic programming
Pre-trained Language Models with Limited Data for Intent Classification
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor
Mystery in experimental psychology, aesthetic emotions
C-SRCIL: Complex-valued Class-Incremental Learning for Signal Recognition
Improve Multi-task Medical Image Segmentation by Localized Worst-case Balancing
Prediction of graduation delay based on student performance
Rule extraction from a trained artificial neural network
Deeper Capsule Network For Complex Data
Ensemble Methods for Solar Power Forecasting
The SES framework and Frequency domain information fusion strategy for Human activity recognition
Extending dynamic SOMs to capture incremental changes in data
A Dynamic Co-Inference Framework for Edge-End Using Discrete Soft Actor-Critic and SLA-Aware Task Batching
CBP neural network for objective assessment of image quality
HMM-based gesture recognition system using kinect sensor for improvised human-computer interaction
Second order design of multiclass kernel machines
Detection of people in images
Deep learning of texture and structural features for multiclass Alzheimer's disease classification
Connectivity estimation of neural networks using a spike train kernel
Directed generalized measure of association: A data driven approach towards causal inference
Deep neural network for dynamic symbol
Improved keyword spotting system by optimizing posterior confidence measure vector using feed-forward neural network
Relation-guided acoustic scene classification aided with event embeddings
Navigation With QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization
Optimizing class-related thresholds with particle swarm optimization
HCov: A Target Attention-based Filter Pruning with Retaining High-Covariance Feature Map
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks
Adaptive Neural Networks for Image-Based Visual Servoing with Uncertain Parameters
Efficient online spherical k-means clustering
Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation
A novel hybrid learning scheme for pattern recognition
Critical branching neural computation
A Self-Weighting Module to Improve Sentiment Analysis
Multiple Classes Random Neural Network Model and Color Pattern Recognition Problems
A spiking thalamus model for form and motion processing of images
Multi-View Graph Learning with Dynamic Evidential Fusion for Response Forecasting
Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting
Robust tracking control of uncertain nonlinear systems with an input time delay
Extraction of Phase Information Buried in Fluctuation of a Pulse-type Hardware Neuron Model Using STDP
3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans
Adaptive fuzzy-neural control for uncertain time-delayed systems
Chaos control in a neural network with threshold activated coupling
Adapting radial basis function neural networks for one-class classification
HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization
TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement
Trajectory analysis in human epileptiform discharges of temporal lobe origin
Interpretable Diversity Analysis: Visualizing Feature Representations in Low-Cost Ensembles
System and method for determining harmonic contributions from non-linear loads using recurrent neural networks
A News Image Locating Approach Based on Cross-Modal RNN with An Encoding Updating Mechanism
SeriesNet: A Generative Time Series Forecasting Model
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence
Multi-view Clustering via Bi-level Decoupling and Consistency Learning
New efficient clustering quality indexes
Clustering using SOFM and genetic algorithm
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading
Neural approach for personalised emotional model in human-robot interaction
FDTest: Prioritizing Test Inputs for Object Detection Models via Foundation Model Exploitation
A Deep Transfer Learning Approach for Fake News Detection
CMMQC: Cascaded Multi-Model Quality Control for Unsupervised Data-to-Text Generation
Statistical Mechanics of Online Learning for Ensemble Teachers
Ensemble neural network methods for satellite-derived estimation of chlorophyll α
Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data
Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates
Triplet Angular Loss for Pose-Robust Face Recognition
A hierarchical Bayesian learning scheme for autoregressive neural networks
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons
Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme
Structural damage assessment using artificial immune systems and wavelet decomposition
Modified Freeman model: a stability analysis and application to pattern recognition
A Monte Carlo strategy for structured multiple-step-ahead time series prediction
A Combination of Multi-state Activation Functions, Mean-normalisation and Singular Value Decomposition for learning Deep Neural Networks
Adj-MOT: Multi-object Tracking by ReID with Adjacent Frame Enhancement
REAL-PINN: Physics-Informed Neural Network with Real-Time Adaptive Learning for Lithium-Ion Battery Health Prediction
Sensing data discrete wavelet fusion for pattern recognition with qualitative and quantitative measuring
Neighborhood-Aware Attention Network for Semi-supervised Face Recognition
Ensemble Learning for Land Cover Classification: Advancing State-of-the-Art Performance on EuroSAT
Quantitative Trait Loci Analysis Using a Bayesian Framework
A self-organizing neural network using fast training and pruning
MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI
FraudNE: a Joint Embedding Approach for Fraud Detection
AGNS : Adversarial Attack against Human Trajectory Model Based on Attention-guidance and Node-selection
Active visual object exploration and recognition with an unmanned aerial vehicle
DSP-based neural systems for the perceptual assessment of visual quality
A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts
Design of Mixed-Signal LSI with Analog Spiking Neural Network and Digital Inference Circuits for Reservoir Computing
A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction
A classifier ensemble model and its applications
Steps toward development of an integrated neurobiological model of cocaine misuse effects
Graphical Model-Based ICA Applied to the Analysis of fMRI and MRI Time Series
TFDB-EENet: A Time-Frequency Dual-Branch EEG Embedding Network for Multi-Task User Intention Classification
Could early visual processes be sufficient to label motions?
MAIF: Efficient Multi-agent Communication via Intention Filter
Adaptive frame selection for improved face recognition in low-resolution videos
Staged Online Learning: A new approach to classification in high speed data streams
A simplex optimization approach for recurrent neural network training and for learning time-dependent trajectory patterns
Commutative quaternion and multistate Hopfield neural networks
Automated Class Imbalance Learning via Few-shot Bayesian Optimization with Meta-learned Deep Kernel Surrogates
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
Combining an LSTM neural network with the Variance Ratio Test for time series prediction and operation on the Brazilian stock market
CLIP-Enhanced Unsupervised Domain Adaptation with Consistency Regularization
Region-based Cross-modal Retrieval
Best Fit Activation Functions for Attention Mechanism: Comparison and Enhancement
AMFCNet: Adaptive Multi-Scale Fourier Contrastive Network for Seismic Signal Classification
Effective Spatiotemporal Feature Modulation Driven Multimodal Gait Recognition
Time-series Forecasting Coding: A New Processing Method Developed from Predictive Coding for Recurrent Neural Networks
A Robust Hybrid Identification Framework Combines Gait And Face Recognition
Label-noise-tolerant classification for streaming data
Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
A new perspective on probabilistic image modeling
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system
Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning
Development of comparative reading system using 1D SOM for brain dock examinations
AENet: An Asymmetric Encoder Network with Feature Selection for Change Detection
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction
Adaptive objective function of ICA by Gaussian approximation in second-order polynomial feature space
A Deep Spike Learning through Critical Time Points
Curved search algorithm for neural network learning
Hybrid neural models for automatic handwritten digits recognition
Multi-dimensional Semantic-based Text Classification Model
Random Deep Neural Network for Melanoma Recognition
Industry Chain Graph Building Based on Text Semantic Association Mining
Group feature selection in image classification with multiple kernel learning
PGMANet: Pose-Guided Mixed Attention Network for Occluded Person Re-Identification
ViNNSL - the Vienna Neural Network Specification Language
From cutting planes algorithms to compression schemes and active learning
Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data
Echo State Network Performance in Electrical and Industrial Applications
Using Local Convolutional Units to Defend Against Adversarial Examples
Ensemble Methods for Selecting Single Nucleotide Polymorphisms Associated to Rice Phenotypes
Multi-User Detector with an Ability of Channel Estimation Using a RBF Network in an MC-CDMA System
Fault detection and isolation based on hybrid modelling in an AC motor
Deterministic AdaBoost algorithm based on FLDF
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
A self-organizing neural network using hierarchical particle swarm optimization
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer
Improving shepherding tasks through destination-orientated actions
Networks of width one are universal classifiers
Recurrent Clifford Support Machines
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors
Self-Supervised Signed Graph Attention Network for Social Recommendation
Spreading activation and sparseness in a bidirectional associative memory
Biologically motivated computational models
A Multi-Population FA for Automatic Facial Emotion Recognition
Function Approximation Approach to the Inference of Normalized Gaussian Network Models of Genetic Networks
CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation
Realization of geometric illusions using artificial visual model based on acute-angled expansion among crossing lines
Tackling the ordinal and imbalance nature of a melanoma image classification problem
Subjects on objects in contexts: Using GICA method to quantify epistemological subjectivity
LoRA-Enhanced Language Alignments for Robust Code-Mixed Text Representation
Input-output model of time series based on ESN
A neurocontroller based on model feedback and the adaptive heuristic critic
Metaheuristically Enhanced ANN-Based Intrusion Detection System with Explainable AI Integration
Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT
Probabilistic principal component analysis based on JoyStick Probability Selector
Fusion of Multiple Representations Extracted from a Single Sensor's Data for Activity Recognition Using CNNs
Spatio-temporal sequence learning of visual place cells for robotic navigation
Non-Euclidean self-organizing classification using natural manifold distance
Neural communication systems
Voltage and Current Patterns for Fault Location in Transmission Lines
Speaker verification with deep features
Integral reinforcement learning with explorations for continuous-time nonlinear systems
Incremental learning for visual classification using Neural Gas
Biologically inspired enhanced vision system (EVS) for aircraft landing guidance
Evolving Constrained Reinforcement Learning Policy
Neural Text Classification by Jointly Learning to Cluster and Align
Subspace based linear programming support vector machines
Single Image Super-Resolution with Hierarchical Receptive Field
Robust doublet STDP in a floating-gate synapse
DSER-TTE: Driving Style Enhanced En Route Travel Time Estimation via Attentional Network
Training method for a sliding mode controller and quantified robustness against uncertainty
Effective and Efficient: Deeper and Faster Fusion Network for Multimodal Summarization
Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification
A Categorization Methodology for the Analysis of the Mortality Rate in Psychiatric Hospitals
Formation of graph-based maps for mobile robots using Hidden Markov Models
Online query by committee for active learning from drifting data streams
Enhancing Traffic Prediction Using Spatio-Temporal Convolutional Network with Multi-Periodic Input and Attention-based Scoring
Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent
Object recognition for robotics from tactile time series data utilising different neural network architectures
Speaker-independent recognition of spoken English letters
Supervised Bayesian sparse coding for classification
Learning to Play Precision Ball Sports from scratch: a Deep Reinforcement Learning Approach
Robust optimal control for time-delay systems with dynamic uncertainties via ADP
Boosting External-Reference Image Quality Assessment by Content-Constrain Loss and Attention-based Adaptive Feature Fusion
A robust adaptive stochastic gradient method for deep learning
Hyperbolic linear units for deep convolutional neural networks
ANN-based representation of parametric and residual uncertainty of models
Support vector machines for program analysis
Multi-view Clustering using Barycentric Coordinate Representation
SC-ViT: Semantic Contrast Vision Transformer for Scene Recognition