yusuke1997/dblp-id-title huggingface dataset:
A new nonlinear filter design for the detection of phase transitions in ECoG data
How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models
An algorithm for computing attribute reducts based on graph search strategy
Dual center based intuitionistic fuzzy plane based classifiers
A neural network approach to MAP in belief networks
SwinVI:3D Swin Transformer Model with U-net for Video Inpainting
Artificial neural networks for predicting 3D protein shapes from amino acid sequences
A support vector machine classifier from a bit-constrained, sparse and localized hypothesis space
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Privacy-Preserving Deep Reinforcement Learning based on Differential Privacy
Improved speaker recognition system for stressed speech using deep neural networks
NI-MTSC: Neighborhood Interpolation Data Augmentation-based Multivariate Time Series Classification
Queuing Network Modeling with Distributed Neural Networks for Service Quality Estimation in B-ISDN Network
A method for investigating the nonlinear dynamics of the human brain from analysis of functional MRI data
Hybrid intelligent system clonart applied to face recognition
Size and distortion invariant object recognition by hierarchical graph matching
Real-time control of variable air volume system based on a robust neural network assisted PI controller
Belief function model for reliable optimal set estimation of transition matrices in discounted infinite-horizon Markov decision processes
Dual Semantic Relationship Attention Network for Image-Text Matching
Attitudinal Choquet Integral-Based Stochastic Multicriteria Acceptability Analysis
Adaptive Hierarchical Graph Neural Network for Non-overlapping Cross-Domain Recommendation
Multi-Agent Local Information Reconstruction for Situational Cognition
Application of NNT in wind speed forecasting
Dependence of one of the fractal characteristics (Hurst exponent) of the human electroencephalogram on the cortical area and type of activity
Transfer Learning Application for Berries Yield Forecasting using Deep Learning
Support Vector Regression Based on Goal Programming and Multi-objective Programming
A generic framework for monitoring pollution plumes in emergencies using UAVs
KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks
A recursive method for big network influence estimation
Enhanced Object Detection Method with Decoupled Direction Prediction and Fusion Strategy
Social Network Polluting Contents Detection through Deep Learning Techniques
Query-Based External Information Leakage Attacks on Face Recognition Models
Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data
Detecting load conditions in human walking using expectation maximization and neural networks
A new scheme for extracting multi-temporal sequence patterns
From Mirror Neurons to Computational Neurolinguistics
A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention
On-line Estimation of Electric Power System Active Loads
Multi-Modal Local Receptive Field Extreme Learning Machine for object recognition
Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation
Online learning in Bayesian Spiking Neurons
An Unseen Features Enhanced Text Classification Approach
Topological clustering of synchronous spike trains
DCPFedRec: A Dual Clustering-Based Personalized Federated Recommendation Method
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
A Simple but Strong Baseline for Sounding Video Generation: Effective Adaptation of Audio and Video Diffusion Models for Joint Generation
Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers
Time-Lag and Edge Features Incorporated Graph Attention Network for Stock Movement Prediction
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
Recent advances in algorithmic learning theory of the Kanban cell neuron network
Facial image morphing by self-organizing feature maps
Cross-Domain Similarity in Domain Adaptation for Human Activity Recognition
Deep Learning Of P73 Biomarker Expression In Rectal Cancer Patients
Excerpts of research in brain sciences and neural networks in Singapore
Learning Sparsity of Representations with Discrete Latent Variables
The Active Suspension Control Strategy Based on Deep Reinforcement Learning Proximal Policy Optimization Algorithm
Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network
A neural network based algorithm for gene expression prediction from chromatin structure
A high order neural network to solve N-queens problem
Transfer learning strategies comparisons of pre-trained neural model for tunnel flaws detection
Enhancing DreamBooth With LoRA for Generating Unlimited Characters With Stable Diffusion
Backpropagation in neural networks with fuzzy conjunction units
Prediction interval estimation for wind farm power generation forecasts using support vector machines
The potentiality of support vector regression with immune algorithm for regional electric load forecasting
Soft Computing Techniques for Modeling Geophysical Data
A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi
entity2item: Leveraging Knowledge Graph Embedding for Item Recommendation
Recursive orthogonal least squares learning with automatic weight selection for Gaussian neural networks
An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence
Evaluation of neural and entropy-constrained routing of communication networks
Virtual label expansion-Highlighted key features for few-shot learning
Validation of ANN Training Approaches for Day-Ahead Photovoltaic Forecasts
Few-shot Object Detection for Remote Sensing Images with Multi-scale Enhancement Fusion and Direction-aware Attention-RPN
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition
Creating human-like non-player game characters using a Memetic Multi-Agent System
Power Load Forecasting Method Based on Improved Attention Mechanism
Neural Networks for Runtime Verification
Binary Segmentation with Neural Validation for Cursive Handwriting Recognition
Shoreline extraction from the fusion of LiDAR DEM data and aerial images using mutual information and genetic algrithms
Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs
Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning
JMTF: A Joint Model for Chinese Measurable Quantitative Information Extraction based on Table Filling
Natural Language Explanations for Machine Learning Classification Decisions
SCA-Font: Enhancing Few-Shot Generation with Style-Content Aggregation
Multivariate chaotic models vs neural networks in predicting storm surge dynamics
Negotiation process for bi-objective multi-agent flexible neural tree model
Relational autoencoder for feature extraction
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition
Proactive reputation-based defense for MANETs using radial basis function neural networks
Knowledge extraction from reinforcement learning
Tactile sequence classification using joint kernel sparse coding
Image Retrieval and Pattern Spotting using Siamese Neural Network
Depth Estimation fusing Image and Radar Measurements with Uncertain Directions
Recognition of hypoxia EEG with a preset confidence level based on EEG analysis
RSNet: Reflectance-Guided and Semantic-Aware Network for Low-light Image Enhancement
Feature importance calculation and protein quality assessment on the decoy discrimination problem
Adversarial Imitation Learning via Random Search
Latent Space Alignment for AI-Native MIMO Semantic Communications
Joint multiple dictionary learning for Tensor sparse coding
Noise benefits in backpropagation and deep bidirectional pre-training
Time-series temporal classification using Feature Ensemble learning
Large-Scale Synchronization Transients Serving as Neural Substrates of Consciousness
Group Learning for High-Dimensional Sparse Data
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Neural Network Approaches for Text Document Categorization
Neural and Statistical Classification to Families of Bio-sequences
Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence
Marine propeller design using artificial neural networks
Feature selection for orthogonal broad learning system based on mutual information
ESSTPNet: Enhancing Spatio-Temporal Forecasting with Deep Echo State Networks and Adaptive Multi-Scale Decoding
Control of Complex Nonlinear Dynamic Systems with Incremental Deep Learning Neural Networks
Alleviating Directional Bias in Non-Autoregressive Transformers
Parallel Optimization of Quantized CNNs for Efficient GPU Inference
Geometry-Aware Enhancement-Based Point Elimination with Overlapping Mask Learning for Partial Point Cloud Registration
Efficient Transformer-based Edge Detector
An accurate and fast neural method for PCA extraction
In Situ Training of CMOL CrossNets
Stochastic Artificial Neural Networks and random walks
End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input
DeepHist: Towards a Deep Learning-based Computational History of Trends in the NIPS
A Self-Organising Map Approach for Clustering of XML Documents
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals' Numbers Techniques
Cluster ensemble for gene expression microarray data
Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM
An analog silicon retina with multi-chip configuration
Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition
Energy Efficient Memory-based Inference of LSTM by Exploiting FPGA Overlay
An adaptive feedback neural network approach to job-shop scheduling problem
Cosmo VAE: Variational Autoencoder for CMB Image Inpainting
Vessel segmentation in retinal images with a multiple kernel learning based method
Multi-axis frequency domain residual UNet for pore identification in deep shale scanning electron microscopy images
LLM-Enhanced Heterogeneous Graph Neural Networks for Research Project Conflict Detection
Using Large Databases and Self-Organizing Maps without tears
Hand Gesture Classification on Praxis Dataset: Trading Accuracy for Expense
Analysis of pedestrian spatial behaviour using GDTW-P-SVMs
Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front
Sparse Attributed Network Embedding via Adaptively Aggregating Neighborhood Information
Sequence Contained Heterogeneous Graph Neural Network
Network Connectivity and Learning Performance on Restricted Boltzmann Machines
Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines
Large scale recurrent neural network on GPU
Cross Auto-Encoder for Inscription Character Inpainting
Neural Network Ensembles for Time Series Prediction
A novel multilayer neural network model for heat treatment of electroless Ni-P coatings
The Multilayer In-Place Learning Network for the Development of General Invariances and Multi-Task Learning
Power Systems Neural Voltage Control by a StatCom
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
Multi-Frequency Aware Reconstruction Model For Unsupervised Graph Anomaly Detection
Segmentation of head MR images using hybrid neural networks of unsupervised learning
The library of building blocks for an "integrate & fire" neural network on a chip
Cost-sensitive learning methods for imbalanced data
Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach
Examination of effectiveness of higher-order mean field Boltzmann machine learning based on linear response theorem
ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics
Lotto-Type Competitive Learning with Particle Swarm Features II
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
Assessor Models for Explaining Instance Hardness in Classification Problems
Supervised synaptic weight adaptation for a spiking neuron
Snippet-level Supervised Contrastive Learning-based Transformer for Temporal Action Detection
Sample Mining Loss Based on Noise Label and Low-Quality Sample for Face Recognition
Parameter Transfer for Single-Task Reinforcement Learning
The lane detection algorithm for row classification based on dynamic shape perception and feature alignment
Controlling a robot with a brain-computer interface based on steady state visual evoked potentials
Dissolving variables in connectionist combinatory logic
Enhanced Walsh Function Based Distributed Associative Memory for Pattern Recognition
Assessing Batch and Online Learning for Delivery in Full and On Time Predictions
Improving Named Entity Recognition with Multi-Feature Word-to-Word Relationship Classification
A Study on Broadcast Networks for Music Genre Classification
Recurrent neural networks, hidden Markov models and stochastic grammars
DF-Net: A Meteorological Factor-Based Network for Predicting PM10 Concentrations
Graphs to the Rescue: Revealing Hidden Relationships in Survey Data
Edge Attention Module for Object Classification
Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift
Forecasting energy product prices
Point cloud data filtering and downsampling using growing neural gas
Parallelizing two classes of neuromorphic models on the Cell multicore architecture
UMOS-Net: Unsupervised Multi-stage Online Video Stabilization Network
Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing
A MLP-SVM hybrid model for cursive handwriting recognition
COREX: Document-level Relation Extraction Framework with Consistent Two-Hop Reasoning and Evidence Sentence Prediction
Discretization methods for encoding of continuous input variables for Boolean neural networks
RCN:Rules-Constrained Network for Autonomous Driving Scene Recognition
ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture
Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space
A drive-reinforcement neural network model of simple instrumental conditioning
Towards Understanding Images of the Mind
A position based visual tracking system for a 7 DOF robot manipulator using a Kinect camera
EAS-YOLOv5: Enhancing YOLOv5's Attention on Small Objects via Large Objects
Lite Mongolian-Chinese Neural Machine Translation: Dynamic Convolution with Long-Range Attention
LVQ-FCV for missing value estimation and pattern classification
Low-Light Image Enhancement based on Hierarchical Discrete Cosine Transform
Geometric Analysis and Metric Learning of Instruction Embeddings
Multinomial PCA for extracting major latent topics from document streams
Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning
A complexity based Silent Pruning Algorithm
Computational Intelligence in Smart water and gas grids: An up-to-date overview
Clustering of dependent components: a new paradigm for fMRI signal detection
Unsupervised robust Bayesian feature selection
Strip-Cutmix for Person Re-Identification
DynaSketch: Abstracting Coherent Sketches for Dynamic Image Sequences
A Noise Clustering-induced Robust Adaptive Network-based Fuzzy Inference System for Classification
Integrated Emotions, Cognition, and Language
Legal Feature Enhanced Semantic Matching Network for Similar Case Matching
In-sample model selection for Support Vector Machines
Symbolized particles store type neuron model and its application
GPFEnet: a lightweight grid parallel feature extraction net for 3D segmentation in agriculture
Global Optimization Algorithms for Training Product Unit Neural Networks
Modification of the ART-1 architecture based on category theoretic design principles
Increasing the Stability of EEG-based Emotion Recognition with a Variant of Neural Processes
A cross-wavelet study of alongshore nonuniform nearshore sandbar behavior
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service
An infrasonic event neural network classifier
Using neural networks in agent teams to speedup solution discovery for hard multi-criteria problems
A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing
Boosting Collision Perception Against Noisy Signals with a Probabilistic Neural Network
An experimental evaluation of echo state network for colour image segmentation
Subgoal chaining and the local minimum problem
Visual feature extraction using variable map-dimension Hypercolumn Model
Local Learning of Tide Level Time Series using a Fuzzy Approach
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
Depth interpolation from surface boundary perceived with binocular viewing
Out-of-Scope Intent Detection with Supervised Deep Metric Learning
An approach to prediction of spatio-temporal patterns based on binary neural networks and cellular automata
Gene expression data analysis using support vector machines
Online learning theory of ensemble learning using linear perceptrons
A DAS Signal Events Recognition Method Based on 1DCNNs-gMLP
DRSU-net: Depth-Residual Separable U-net model for Semantic Segmentation
Decision tree models for developing molecular classifiers for cancer diagnosis
A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation
Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework
Integrated Time Series Forecasting approaches using moving average, grey prediction, support vector regression and bagging for NNGC
Adaptive Stochastic Resonance in Color Object Segmentation
DAGNet: A Dynamic Aggregation and Generation Network for Next POI Recommendation
PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition
FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study
A Three-Stage Pipeline for Conditional Entity and Relation Extraction
Compositional generative mapping of structured data
Class-aware Patch Based Contrastive Learning for Medical Image Segmentation
Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer
A Novel Two-Factor Attention Encoder-Decoder Network through Combining Temporal and Prior Knowledge for Weather Forecasting
Synchronization of embedded FitzHugh-Nagumo motor-neurons through phase reduction theory
RRdE: A Decision Making Framework for Language Agents in Interactive Environments
Comparison of range check classifier and hybrid network classifier for hand sign recognition system
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
Function approximation and time series prediction with neural networks
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
Safe Reinforcement Learning via Probabilistic Timed Computation Tree Logic
Consciousness-driven model for visual attention
Design of an explainable machine learning challenge for video interviews
A hierarchical organized memory model using spiking neurons
Online Meta-Forest for Regression Data Streams
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Anomaly Detection in X-ray Security Imaging: a Tensor-Based Learning Approach
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation
Q-Learning for Non-Cooperative Channel Access Game of Cognitive Radio Networks
Fed-IoVIDS: Intrusion Detection based on Attack Behavior Analysis with Temporal Model on IoV Considering Privacy Protection
Costly Features Classification using Monte Carlo Tree Search
Multi-Scale Sequence Fusion Model for Multimodal Sentiment Analysis: Leveraging Image-Text Interaction and Sequence Modeling
Quantum generation of neural networks
Operating Cost and Peak Load Driven Day-Ahead Multivariate Load Forecasting For Integrated Coal Mine Energy Systems
3D-Telepathy: Reconstructing 3D Objects from EEG Signals
A New Word Embedding Approach to Evaluate Potential Fixes for Automated Program Repair
Prediction of EMG signals of trunk muscles in manual lifting using a neural network model
Training Feedforward Neural Networks Using Orthogonal Iteration of the Hessian Eigenvectors
Projectron - A Shallow and Interpretable Network for Classifying Medical Images
Incremental learning on a budget and a quick calculation method using a tree-search algorithm
Performance Comparison of SOM Based Hybrid Hardware Classifiers
Modeling a compression plant using recurrent neural networks
Uncertainty quantification for wind farm power generation
Neuromodulation based control of an autonomous robot
ProDepDet: Out-of-domain Knowledge Transfer of Pre-trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations
Solving parity-N problems with feedforward neural networks
Connection sparsity versus orbit stability in dynamic binary neural networks
A Novel Neural Approach for News Reprint Prediction
A design of prefilter type compensatory controller for robot manipulator using modified chaotic neural networks
Credit card fraud detection and concept-drift adaptation with delayed supervised information
Neural networks based algorithm for detecting high impedance faults on power distribution lines
Real world blind separation of convolved speech signals
Adaptive spiking neural networks with Hodgkin-Huxley neurons and Hebbian learning
Incremental Learning for Classification of Protein Sequences
A Reconfigurable Neural Environment on Active Networks
A robot on-line area coverage approach based on the probabilistic Lloyd method
Multi-Aspect Controlled Response Generation in a Multimodal Dialogue System using Hierarchical Transformer Network
Spike Counts Based Low Complexity Learning with Binary Synapse
A Super-Resolution Generative Adversarial Network with Simplified Gradient Penalty and Relativistic Discriminator
Similarity learning based on multiple support vector data description
Specific Sentiment Mask Auto-Encoder Model (S2MA) for Image Sentiment Classification
Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series
Importance-Guided Sequential Training for Physics-Informed Neural Networks
Incremental Soft Pruning to Get the Sparse Neural Network During Training
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach
Improved Policy Extraction via Online Q-Value Distillation
Analysis of real neuronal circuits in the vertebrate central nervous system
Training and holistic computation of vector graphics with Hebbian bases in contrast to RAAM networks
Identification of a Dynamic Model for a Thin Film Deposition Process using a Self-Organizing Map
A memory-based reinforcement learning algorithm for partially observable Markovian decision processes
Distance metric learning with eigenvalue fine tuning