yusuke1997/dblp-id-title huggingface dataset:
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations
Temporal Patterns in Artificial Reaction Networks
An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation
Two-Stage Medical Image-Text Transfer with Supervised Contrastive Learning
Neural Architectures for Global Solar Irradiation and Air Temperature Prediction
Hierarchical Modeling with Neurodynamical Agglomerative Analysis
A Design of CMAC Based Intelligent PID Controllers
Solving Math Word Problem with External Knowledge and Entailment Loss
Curved SDE-Net Leads to Better Generalization for Uncertainty Estimates of DNNs
Building RBF Neural Network Topology through Potential Functions
Local Selection of Model Parameters in Probability Density Function Estimation
Cortio-Tectal Interactions in the Cat Visual System
Automated Extraction of Object- and Event-Metadata from Gesture Video Using a Bayesian Network
Neural Networks in an Artificial Life Perspective
Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays
Causal Interpretability and Uncertainty Estimation in Mixture Density Networks
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations
Rectangular Basis Functions Applied to Imbalanced Datasets
Few-Shot Learning for Medical Image Classification
Two-Dimensional Hodgkin-Huxley Equations for Investigating a Basis of Pulse-Processing Neural Networks
Extraction Method of Rotated Objects from High-Resolution Remote Sensing Images
Word Embedding Dropout and Variable-Length Convolution Window in Convolutional Neural Network for Sentiment Classification
Temporal Structure of Cortical Activity
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models
Split-Merge Incremental LEarning (SMILE) of Mixture Models
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation
OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature
Generic Joke Generation with Moral Constraints
A Two-Stage Classifier Architecture for Detecting Objects under Real-World Occlusion Patterns
Labeling Chest X-Ray Reports Using Deep Learning
Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits
A New Learning Method for Piecewise Linear Regression
Learning to Explain Chinese Slang Words
Neighborhood-Oriented Decentralized Learning Communication in Multi-Agent System
EEG Switching: Three Views from Dynamical Systems
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
Neural Networks with Block Diagonal Inner Product Layers
Self Organized Partitioning of Chaotic Attractors for Control
MCASleepNet: Multimodal Channel Attention-Based Deep Neural Network for Automatic Sleep Staging
Guided Reinforcement Learning via Sequence Learning
Including Metric Space Topology in Neural Networks Training by Ordering Patterns
Interactive Language Understanding with Multiple Timescale Recurrent Neural Networks
Adaptive Hopfield Network
Accelerated NAS via Pretrained Ensembles and Multi-fidelity Bayesian Optimization
An Improved Training Algorithm for the Linear Ranking Support Vector Machine
DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation
Neural Network Based BCI by Using Orthogonal Components of Multi-channel Brain Waves and Generalization
Efficient Search of Multiple Neural Architectures with Different Complexities via Importance Sampling
Filter Method Ensemble with Neural Networks
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier
Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition
Noise Masking Recurrent Neural Network for Respiratory Sound Classification
Local Subspace Classifier
Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings
GUIS2Code: A Computer Vision Tool to Generate Code Automatically from Graphical User Interface Sketches
On the Significance of Markov Decision Processes
Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor
Learning a Peripersonal Space Representation as a Visuo-Tactile Prediction Task
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
Optimal Control Yields Power Law Behavior
Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter
Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation
Convolutional Neural Network for Pixel-Wise Skyline Detection
Training Many-to-Many Recurrent Neural Networks with Target Propagation
No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance
Multifold Acceleration of Neural Network Computations Using GPU
Mapping the Growing Neural Gas to Situation Calculus
Invariant Object Recognition with Slow Feature Analysis
Probability-Based Distance Function for Distance-Based Classifiers
A New Learning-Based One Shot Detection Framework for Natural Images
Unsupervised Domain Adaptation Using Temporal Association for Segmentation and Its Application to C. elegans Time-Lapse Images
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?
Developing Measurement Selection Strategy for Neural Network Models
Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker
Neural Networks Training for Weapon Selection in First-Person Shooter Games
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection
Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing
DNFS: A Digraph Neural Network with the First-Order and the Second-Order Similarity
D-TRACE: Deep Triply-Aligned Clustering
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons
Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information
Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets
High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning
One-Shot Learning with Feedback for Multi-layered Convolutional Network
OFNN-UNI: Enhanced Optimized Fuzzy Neural Networks Based on Unineurons for Advanced Sepsis Classification
Neural Network Compression via Learnable Wavelet Transforms
Unsupervised Learning of a Kinematic Arm Model
Robotic Model of the Mirror Neuron System: A Revival
Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research
Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir
Competition Amongst Neurons for Neurotrophins
Benchmarking Nonlinear Readouts in Linear Reservoir Networks
Electricity Load Forecasting: A Weekday-Based Approach
Targeted Trust-Based Merging of Customers' Opinions
COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation
Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation
Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures
Improving Accuracy of LVQ Algorithm by Instance Weighting
Improved Chaotic Multidirectional Associative Memory
Controlling the Speed of Synfire Chains
End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick
Prompt Design Using Past Dialogue Summarization for LLMs to Generate the Current Appropriate Dialogue
Modelling Hypothetical Wage Equation by Neural Networks
Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach
Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery
Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron
A Deep Learning Based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays
Location-Dependent Dendritic Computation in a Modeled Striatal Projection Neuron
SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks
Robust Sparse Learning Based Sensor Array Optimization for Multi-feature Fusion Classification
On Deep Set Learning and the Choice of Aggregations
Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography
Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
Individual Identification by Resting-State EEG Using Common Dictionary Learning
KnowMIM: a Self-supervised Pre-training Framework Based on Knowledge-Guided Masked Image Modeling for Retinal Vessel Segmentation
Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions
The Computational Power of Complex-Valued Neuron
DeepArtist: A Dual-Stream Network for Painter Classification of Highly-Varying Image Resolutions
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III
Estimating the Reliability of Neural Network Classifications
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
Modular Domain-to-Domain Translation Network
Personalized Headline Generation with Enhanced User Interest Perception
Hierarchical Vision and Language Transformer for Efficient Visual Dialog
Learning with Convex Constraints
MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull
Real and Modeled Spike Trains: Where Do They Meet?
Sequence Prediction Using Spectral RNNs
A Camouflaged Object Detection Network with Global Cross-Space Perception and Flexible Local Feature Refinement
Short-Term Memory Optical Flow Image
Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-Level Forgery Enhancement
Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data
Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays
Embedding Compression with Right Triangle Similarity Transformations
Independent Component Analysis of Multi-channel Near-Infrared Spectroscopic Signals by Time-Delayed Decorrelation
Multi-modal Chorus Recognition for Improving Song Search
LSTM and 1-D Convolutional Neural Networks for Predictive Monitoring of the Anaerobic Digestion Process
A Computational Geometry Approach for Pareto-Optimal Selection of Neural Networks
Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus
MSD-HAM-Net: A Multi-modality Fusion Network of PET/CT Images for the Prognosis of DLBCL Patients
Intrinsic Motivation Model Based on Reward Gating
Depth Mapping Hybrid Deep Learning Method for Optic Disc and Cup Segmentation on Stereoscopic Ocular Fundus
Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis
Implementation of Learning Mechanisms on a Cat-Scale Cerebellar Model and Its Simulation
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks
Speech Hashing Algorithm Based on Short-Time Stability
Using Neural Field Dynamics in the Context of Attentional Control
Multi-category Bayesian Decision by Neural Networks
Automatic Augmentation by Hill Climbing
A Method to Estimate the Graph Structure for a Large MRF Model
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure
Learning Camera-Invariant Representation for Person Re-identification
Implicit Relevance Feedback from Eye Movements
Structured Prediction for Object Detection in Deep Neural Networks
Which and Where to Focus: A Simple yet Accurate Framework for Arbitrary-Shaped Nearby Text Detection in Scene Images
Modeling and Synthesis of Computational Efficient Adaptive Neuro-Fuzzy Systems Based on Matlab
Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System
The Importance of Representing Cognitive Processes in Multi-agent Models
Action Unit Assisted Facial Expression Recognition
The Bayesian Committee Support Vector Machine
Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks
Learning Distinct Strategies for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Model-Based Offline Adaptive Policy Optimization with Episodic Memory
Meta-evolution Strategy to Focused Crawling on Semantic Web
JointFusionNet: Parallel Learning Human Structural Local and Global Joint Features for 3D Human Pose Estimation
Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals
Financial Application of Neural Networks: Two Case Studies in Greece
Cooperative Information Control to Coordinate Competition and Cooperation
Maximum Contrast Classifiers
Learning Joint General and Specific Representation with Masked Auto-Encoder for Radiology Report Generation
Predicting Time Series with Support Vector Machines
Deep NLP Explainer: Using Prediction Slope to Explain NLP Models
Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data
SSA-GAT: Graph-Based Self-supervised Learning for Network Intrusion Detection
A 4-Vector MDM Algorithm for Support Vector Training
Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer
Correlation Coding in Stochastic Neural Networks
Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized Control
ADMETrix: ADMET-Driven De Novo Molecular Generation
Non-dissipative Reservoir Computing Approaches for Time-Series Classification
Robust Sound Event Classification with Local Time-Frequency Information and Convolutional Neural Networks
Autonomous Generation of Internal Representations for Associative Learning
A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-label Classification
Modelling Power Output at Nuclear Power Plant by Neural Networks
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection
A Folded Architecture for Hardware Implementation of a Neural Structure Using Izhikevich Model
Using Bag-of-Little Bootstraps for Efficient Ensemble Learning
Fast Color-Based Object Recognition Independent of Position and Orientation
From Open Set Recognition Towards Robust Multi-class Classification
Multi-features-Based Automatic Clinical Coding for Chinese ICD-9-CM-3
Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure
Multilayer Perceptron for Label Ranking
CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning
Multifactor Expectation Maximization for Factor Graphs
Data Correction by a Generative Model with an Encoder and its Application to Structure Design
Leveraging GANs via Non-local Features
Extending Tree Kernels with Topological Information
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting
Testing Component Independence Using Data Compressors
Effect of Simultaneous Time Series Prediction with Various Horizons on Prediction Quality at the Example of Electron Flux in the Outer Radiation Belt of the Earth
Multi-Sensor Data Fusion for Short-Term Traffic Flow Prediction: A Novel Multi-Channel Data Structure Integrated with Mixed-Pointwise Convolution and Channel Attention Mechanism
Combining Edge-Guided Attention and Sparse-Connected U-Net for Detection of Image Splicing
Measuring Clustering Model Complexity
Mixtures of Experts Estimate A Posteriori Probabilities
EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search
Analysis of Neural Circuit for Visual Attention Using Lognormally Distributed Input
A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation
A Fast Semi-linear Backpropagation Learning Algorithm
Model-Based Clustering of Temporal Data
Two-Dimensional Encoding Method for Neural Synthesis of Tabular Transformation by Example
Training Neural Networks Using Predictor-Corrector Gradient Descent
Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs
Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances
GatedGCN with GraphSage to Solve Traveling Salesman Problem
Combining Multimodal Sensory Input for Spatial Learning
A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
Subgraph Collaborative Graph Contrastive Learning for Recommendation
MSIF: Multi-source Information Fusion for Financial Question Answering
Content-Boosted Restricted Boltzmann Machine for Recommendation
Self-Organizing Neural Networks for Signal Recognition
Training Mahalanobis Kernels by Linear Programming
Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach
Why the Brain Might Operate Near the Edge of Criticality
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex
Reinforced Keyphrase Generation with Multi-Dimensional Reward
CapsDA-Net: A Convolutional Capsule Domain-Adversarial Neural Network for EEG-Based Attention Recognition
A Direction Sensitive Network Based on a Biophysical Neurone Model
A Hierarchical Method for Training Embedded Sigmoidal Neural Networks
Incremental Support Vector Machine Learning: A Local Approach
Accurate Detection of Spiking Motifs in Multi-unit Raster Plots
Structure-Enhanced Graph Neural ODE Network for Temporal Link Prediction
LSTM with Uniqueness Attention for Human Activity Recognition
Bad Design and Good Performance: Strategies of the Visual System for Enhanced Scene Analysis
Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative Study
Human Face Detection Using New High Speed Modular Neural Networks
Effect of Neural Controller on Adaptive Cruise Control
DeepED: A Deep Learning Framework for Estimating Evolutionary Distances
SSMFRP: Semantic Similarity Model for Relation Prediction in KBQA Based on Pre-trained Models
Advances in Password Recovery Using Generative Deep Learning Techniques
Two-Layer Vector Perceptron
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation
Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds
Modified q-State Potts Model with Binarized Synaptic Coefficients
Video Motion Perception for Self-supervised Representation Learning
Distance Matrix Based Clustering of the Self-Organizing Map
Dipolar Data Aggregation in the Context of Deep Learning
Kernel Learning for Local Learning Based Clustering
Infering Boundary Conditions in Finite Volume Neural Networks
Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness Measure
Estimation Method of Motion Fields from Images by Model Inclusive Learning of Neural Networks
Avoiding Degradation in Deep Feed-Forward Networks by Phasing Out Skip-Connections
Bayesian Inference of Noise Levels in Regression
The LCCP for Optimizing Kernel Parameters for SVM
Learing Fine Motion by Using the Hierarchical Extended Kohonen Map
Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping
Research on USV Path Planning Method Based on Improved Option-Critical Algorithm
Algorithms for Structural and Dynamical Polychronous Groups Detection
Indoor Localization Using Neural Networks with Location Fingerprints
Precise Temporal P300 Detection in Brain Computer Interface EEG Signals Using a Long-Short Term Memory
Auto-adaptive and Dynamical Clustering Neural Network
Interpolation Mechanism of Functional Networks
Least-Mean-Square Training of Cluster-Weighted Modeling
Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion Using Transformer
Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition
An Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation
ConSens: Assessing Context Grounding in Open-Book Question Answering
EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism
FLSOM with Different Rates for Classification in Imbalanced Datasets
Adaptive Switching Median Filter with Neural Network Impulse Detection Step
Who Breaks Early, Looses: Goal Oriented Training of Deep Neural Networks Based on Port Hamiltonian Dynamics
Neural Network Based Blind Source Separation of Non-linear Mixtures
Enhancing Interpretability in Molecular Property Prediction with Contextual Explanations of Molecular Graphical Depictions
Interpretable EHR Disease Prediction System Based on Disease Experts and Patient Similarity Graph (DE-PSG)
Onion Echo State Networks - A Preliminary Analysis of Dynamics
Neurotransmitter Fields
Neural Networks in Circuit Simulators
A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction
Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE
Explainable Anomaly Detection via Feature-Based Localization
Mixtures of Independent Component Analysers
PADDLE: Proximal Algorithm for Dual Dictionaries LEarning
Wavelet U-Net for Medical Image Segmentation
Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory
Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization
Interpolating Support Information Granules
Description of Dynamic Structured Scenes by a SOM/ARSOM Hierarchy
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity
Atom-Level Quantum Pretraining Enhances the Spectral Perception of Molecular Graphs in Graphormer
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders
Quality-Diversity Summarization with Unsupervised Autoencoders
Semi-supervised Graph Edge Convolutional Network for Anomaly Detection
A Feature Selection Method for Air Quality Forecasting
High Integrated Information in Complex Networks Near Criticality
Learning Localisation Based on Landmarks Using Self-Organisation
FedTP: Traceable Passport-Based Ownership Verification for Federated Deep Neural Network Models
Contextual Kohonen SOM with Orthogonal Weight Estimator Principle
Training of Support Vector Machines with Mahalanobis Kernels
FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction
An Efficient Collaborative Recommender System Based on k -Separability
Closed Loop Stability of FIR-Recurrent Neural Networks
Recognition and Segmentation of Components of a Face by a Multi-Resolution Neural Network
Novelty Detection in Video Surveillance Using Hierarchical Neural Networks
ReDualSVG: Refined Scalable Vector Graphics Generation
On Mode Collapse in Generative Adversarial Networks
Semantic Adaptation of Neural Network Classifiers in Image Segmentation
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding
First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework
Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data