yusuke1997/dblp-id-title huggingface dataset:
Dual Support Vector Domain Description for Imbalanced Classification
Tight Bounds on Rates of Neural-Network Approximation
Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule
Low-Resource Neural Machine Translation Using XLNet Pre-training Model
A New Type of ART2 Architecture and Application to Color Image Segmentation
Two Subspace-Based Kernel Local Discriminant Embedding
An Evolutionary Approach to Automatic Kernel Construction
Heuristiscs-Based High-Level Strategy for Multi-agent Systems
Find Important Training Dataset by Observing the Training Sequence Similarity
Link Prediction on Knowledge Graph by Rotation Embedding on the Hyperplane in the Complex Vector Space
Interactive Evolving Recurrent Neural Networks Are Super-Turing Universal
A Balanced Relation Prediction Framework for Scene Graph Generation
Visual Relation-Aware Unsupervised Video Captioning
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks
Kohonen Maps Applied to Fast Image Vector Quantization
Selective Noise Cancellation Using Independent Component Analysis
Adaptive Weighted Multi-view Evidential Clustering
A Neural Network for Text Representation
Ch4os: Discretized Generative Adversarial Network for Functionality-Preserving Evasive Modification on Malware
A Hierarchic Method for Footprint Segmentation Based on SOM
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning
Fast Training of Support Vector Machines by Extracting Boundary Data
Dynamic Cortex Memory: Enhancing Recurrent Neural Networks for Gradient-Based Sequence Learning
Sparse Linear Wind Farm Energy Forecast
Training Discriminative Models to Evaluate Generative Ones
On Variations of Power Iteration
Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution
Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps
Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs
Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps
BIG-FG: A Bi-directional Interaction Graph Framework with Filter Gate Mechanism for Chinese Spoken Language Understanding
Very Small Spiking Neural Networks Evolved for Temporal Pattern Recognition and Robust to Perturbed Neuronal Parameters
An Efficient 3D-NAS Method for Video-Based Gesture Recognition
Using Document Features to Optimize Web Cache
Single Layer Complex Valued Neural Network with Entropic Cost Function
Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites
Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines
An Incremental Bayesian Approach for Training Multilayer Perceptrons
Stable Output Feedback in Reservoir Computing Using Ridge Regression
A Cognitive Model of Multi-objective Multi-concept Formation
Lymphoma Ultrasound Image Segmentation with Self-Attention Mechanism and Stable Learning
Key Substructure-Driven Backdoor Attacks on Graph Neural Networks
Cell Microscopic Segmentation with Spiking Neuron Networks
The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching
An Ultra-Compact Low-Powered Closed-Loop Device for Control of the Neuromuscular System
Competition Between Cortical Ensembles Explains Pitch-Related Dynamics of Auditory Evoked Fields
Learning by Integrating Information Within and Across Fixations
Bispectrum-Based Statistical Tests for VAD
Requirements for the Transmission of Streaming Video in Mobile Wireless Networks
An Ensemble Dependence Measure
Sparse Coding with Invariance Constraints
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons
Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation
Two Staged Fuzzy SVM Algorithm and Beta-Elliptic Model for Online Arabic Handwriting Recognition
Tensor Learning in Multi-view Kernel PCA
Financial Self-Organizing Maps
MADE: A Universal Fine-Tuning Framework to Enhance Robustness of Machine Reading Comprehension
An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks
Adaptive Fusion Boundary-Enhanced Multilayer Perceptual Network (FBAIM-Net) for Enhanced Polyp Segmentation in Medical Imaging
A Perceptual Memory System for Affordance Learning in Humanoid Robots
A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations
Estimation of Microphysical Parameters of Atmospheric Pollution Using Machine Learning
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators
An Efficiently Focusing Large Vocabulary Language Model
Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks
Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information
Temporal Processing in a Spiking Model of the Visual System
Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model
Generalized Entropy Cost Function in Neural Networks
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data
Rethinking CNN Architectures in Transformer Detectors
Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes
Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation
Fast and Robust Compression of Deep Convolutional Neural Networks
A Reduced Model for Dendritic Trees with Active Membrane
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting
Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions
Enforcing Linearity in DNN Succours Robustness and Adversarial Image Generation
Mimicking Go Experts with Convolutional Neural Networks
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
A Novelty Detector Using a Network of Integrate and Fire Neurons
CNN-Transformer Hybrid Architecture for Early Fire Detection
Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks
Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production
PIDM: Personality-Aware Interaction Diffusion Model for Gesture Generation
Short- and Long-Term Dynamics in a Stochastic Pulse Stream Neuron Implemented in FPGA
HLR: Generating Adversarial Examples by High-Level Representations
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
On the Explicit Use of Example Weights in the Construction of Classifiers
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation
Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm Optimization
AFS: Attention Using First and Second Order Information to Enrich Features
Learning Spatial Transformations Using Structured Gain-Field Networks
Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance
Obstacles to Depth Compression of Neural Networks
Optimal Coding for Naturally Occurring Whisker Deflections
Dynamics and Oscillations of GHNNs with Time-Varying Delay
Associative Learning in Hierarchical Self Organizing Learning Arrays
Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics
Neural Network Use for the Identification of Factors Related to Common Mental Disorders
Two-Stream Convolutional Neural Network for Multimodal Matching
Impact Analysis of Climate Change on Floods in an Indian Region Using Machine Learning
Generating Adversarial Texts for Recurrent Neural Networks
Data Augmented Dual-Attention Interactive Image Classification Network
Variational Autoencoder with Global- and Medium Timescale Auxiliaries for Emotion Recognition from Speech
Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model
Taper Residual Dense Network for Audio Super-Resolution
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm
An Analytical Model of Divisive Normalization in Disparity-Tuned Complex Cells
Capsule Generative Models
A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Improving Consistency Distillation with Rectified Trajectories
Contour-Augmented Concept Prediction Network for Image Captioning
GL-NER: Generation-Aware Large Language Models for Few-Shot Named Entity Recognition
Efficient LSTM Training with Eligibility Traces
Shortcut Convolutional Neural Networks for Classification of Gender and Texture
Lateral Interactions in Self-Organizing Maps
A Connectionist Variation of Inheritance
Instance-Based Segmentation for Boundary Detection of Neuropathic Ulcers Through Mask-RCNN
MRT-NAS: Boosting Training-Free NAS via Manifold Regularization
Visual Checking of Grasping Positions of a Three-Fingered Robot Hand
A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification
AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery
Global Oscillations of Neural Fields in CA3
Text to Image Synthesis Based on Multiple Discrimination
Tolerance of Radial Basis Functions Against Stuck-At-Faults
Regularized Pooling
Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process
NAS4FBP: Facial Beauty Prediction Based on Neural Architecture Search
Novel Sketch-Based 3D Model Retrieval via Cross-domain Feature Clustering and Matching
LSTM Prediction on Sudden Occurrence of Maintenance Operation of Air-Conditioners in Real-Time Pricing Adaptive Control
Quadratic Assignment Problems for Chaotic Neural Networks with Dynamical Noise
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training
A Unified Multiple Inducible Co-attentions and Edge Guidance Network for Co-saliency Detection
Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a Single Depth View
Action Markets in Deep Multi-Agent Reinforcement Learning
A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers
Policy Gradients with Parameter-Based Exploration for Control
Assessing Image Analysis Filters as Augmented Input to Convolutional Neural Networks for Image Classification
Globally Optimal Structure Learning of Bayesian Networks from Data
Adversarial Variational Knowledge Distillation
Recurrent Bayesian Reasoning in Probabilistic Neural Networks
On a Dynamic Wavelet Network and Its Modeling Application
Learning Curves for Gaussian Processes Models: Fluctuations and Universality
Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics
Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks
Integrative Learning between Language and Action: A Neuro-Robotics Experiment
Artifact Processor for Neuronal Activity Analysis during Deep Brain Stimulation
Using Reinforcement Learning to Guide the Development of Self-organised Feature Maps for Visual Orienting
New Architecture of Correlated Weights Neural Network for Global Image Transformations
Variational Deep Embedding with Regularized Student-t Mixture Model
SOM-Model for the Development of Oriented Receptive Fields and Orientation Maps from Non-oriented ON-center OFF-center Inputs
Variational EM Learning of DSBNs with Conditional Deep Boltzmann Machines
Prediction of Mixtures
Hypernetwork Functional Image Representation
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks
Attractor Metadynamics in Adapting Neural Networks
Reducing Reservoir Dimensionality with Phase Space Construction for Simplified Hardware Implementation
Parallelizing Sharpness-Aware Minimization: A Semi-asynchronous, Small-Batch Approach
Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application
Examining an Evaluation Mechanism of Metaphor Generation with Experiments and Computational Model Simulation
Demand-Prediction Architecture for Distribution Businesses Based on Multiple RNNs with Alternative Weight Update
ABSA Methodology Based on Interval-Enhanced Talking-Heads Attention Network
Neurocontrol of Nonlinear Dynamic Systems Subject to Unmeasured Disturbance Inputs
Balance Algorithm for Point-Feature Label Placement Problem
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin
Text Generation in Discrete Space
Deblurring with Improved Video Diffusion Model
Deep Bayesian Experimental Design for Drug Discovery
Very Large Two-Level SOM for the Browsing of Newsgroups
Neural Minimax Classifiers
Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map
Learning Preferences for Large Scale Multi-label Problems
Multi-Knowledge Attention Transfer Framework for Action Recognition
PSR-Net: A Dual-Branch Pyramid Semantic Reasoning Network for Segmentation of Remote Sensing Images
Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping
Implementation of Visual Attention System Using Bottom-up Saliency Map Model
Counterpropagation with Delays with Applications in Time Series Prediction
Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval
SMART-RetroNet: A Framework for Chemical Retrosynthesis Prediction
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
Compression-Based Clustering of Video Human Activity Using an ASCII Encoding
ProTeM: Unifying Protein Function Prediction via Text Matching
Two-Level Neural Network for Multi-label Document Classification
K-Fold Cross-Valuation for Machine Learning Using Shapley Value
Impact of Shrinking Technologies on the Activation Function of Neurons
Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling
No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks
A Fast Algorithm for Words Reordering Based on Language Model
Dynamic Graph for Biological Memory Modeling: A System-Level Validation
Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks
Simplifying Neural Networks for Controlling Walking by Exploiting Physical Properties
A Model of Border-Ownership Coding in Early Vision
Analysis of Fast Input Selection: Application in Time Series Prediction
An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks
Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?
Real-Time Syllable Recognition in LIBRAS Using Deep Learning for Human-Robot Interaction
Current Trends on Knowledge Extraction and Neural Networks
ViSMoE: Visual-Aware Sparse Mixture-of-Experts for Embodied Referring Expression Grounding
On the Performance of Classic and Deep Neural Models in Image Recognition
S-SOLVER: Numerically Stable Adaptive Step Size Solver for Neural ODEs
Deep Learning Models and Interpretations for Multivariate Discrete-Valued Event Sequence Prediction
Event-Based Visual Data Sets for Prediction Tasks in Spiking Neural Networks
Improved Storage Capacity of Hebbian Learning Attractor Neural Network with Bump Formations
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
MC-MLP: A Multiple Coordinate Frames MLP-Like Architecture for Vision
Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain
A Pareto Self-Organizing Map
Pairwise Clustering with t-PLSI
Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences
GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering
Forecasting Portugal Global Load with Artificial Neural Networks
Fast Approximate Geodesics for Deep Generative Models
Attractor Dynamics in an Electronic Neural Network
An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Incremental Rule Pruning for Fuzzy ARTMAP Neural Network
A Maximum Likelihood Approach to Nonlinear Blind Source Separation
A Neural-Network-Based Approach to Adaptive Human Computer Interaction
GNN-MRC: Machine Reading Comprehension Based on GNN Augmentation
Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks
Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks
Message Passing Neural Networks for Hypergraphs
Novelty Analysis in Dynamic Scene for Autonomous Mental Development
Differentiable Largest Connected Component Layer for Image Matting
The Method of Inflection Errors Correction in Texts Composed in Polish Language - A Concept
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map
Evidential Robust Deep Learning for Noisy Text2text Question Classification
On Higher Order Computations and Synaptic Meta-Plasticity in the Human Brain
Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients
Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion
Coordinating Principal Component Analyzers
Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT
Knowledge Refinement Using Fuzzy Compositional Neural Networks
SAM-NeRF: NeRF-Based 3D Instance Segmentation with Segment Anything Model
The Mix-Matrix Method in the Problem of Binary Quadratic Optimization
2RDA: Representation and Relation Distillation with Data Augmentation
Meteorological Data Based Detection of Stroke Using Machine Learning Techniques
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods
A Multi-armed Bandit Algorithm Available in Stationary or Non-stationary Environments Using Self-organizing Maps
Prediction of Reaching Movements with Target Information Towards Trans-humeral Prosthesis Control Using Reservoir Computing and LSTMs
DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning
MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting
Template Matching for Large Transformations
Neural QSLIM for Mesh Autoencoders
FP-MRBP: Fine-grained Parallel MapReduce Back Propagation Algorithm
Stream-Based Active Learning with Verification Latency in Non-stationary Environments
Prediction of the Next Sensor Event and Its Time of Occurrence in Smart Homes
Self Organizing Map and Sammon Mapping for Asymmetric Proximities
Almost Random Projection Machine
ARB U-Net: An Improved Neural Network for Suprapatellar Bursa Effusion Ultrasound Image Segmentation
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
Cross-Species Translation of Multi-way Biomarkers
Reinforcement Learning for Joint Extraction of Entities and Relations
Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency
Training Computationally Efficient Smartphone-Based Human Activity Recognition Models
Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware
Blind Source-Separation in Mixed-Signal VLSI Using the InfoMax Algorithm
PaFi-GS: Gaussian Splatting via Propagation-Aware Filtering for Urban Street View Rendering
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification
SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation
Nonnegative Matrix Factorization for Motor Imagery EEG Classification
Why Mixup Improves the Model Performance
Approximated Masked Global Context Network for Skin Lesion Segmentation
Modeling Obstacle Avoidance Behavior of Files Using an Adaptive Autonomous Agent
Pan-Sharpening with Global Multi-scale Context Network
Dimensionality Reduction through Sensory-Motor Coordination
A Lightweight Fully Convolutional Neural Network of High Accuracy Surface Defect Detection
ESN Intrinsic Plasticity versus Reservoir Stability
Architecture Selection in NLDA Networks
Neural Network Guided Tree-Search Policies for Synthesis Planning
A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction
A Neural Network Based Fault Detector for Power Distribution Systems
Object Selection with Dynamic Neural Maps
Computational Properties of Probabilistic Neural Networks
Improved Personalized Rankings Using Implicit Feedback
A Lightweight Multi-Scale Large Kernel Attention Hierarchical Network for Single Image Deraining
Schema migration into a web-based framework for generating virtual museums and laboratories
Interactive exploration of historic information via gesture recognition
Avatar recommendation method based on facial attributes
Visitor's evaluation: Digital restitution and public communications a touring exhibition: The North Church of Bawit monastery (Egypt)
Children of Mon Mot - Documentation of a tira legend of the Abui community (Eastern Indonesia)
Reproduction of South-East Asian cultural artefacts: A case of the Mah Meri
The TIVAL project: Integrating multidisciplinary perspectives
Workings of Asia-Pacific spatiotemporal research: An international institute in Taiwan
N'Files - A Space to React. Communication Between Architecture and Its Users
An ecosystem of tools and methods for archeological research
Digital display case to convey dynamic mechanisms of exhibits
The Digital Hadrian's Villa Project: Using virtual worlds to control suspected solar alignments
Prototypes for Automated Architectural 3D-Layout
SC: Prototypes for Interactive Architecture
3D rocks - Augmented reality Islands for Skellig Kerry region
Beyond the Map: Issues in the Design of a Virtual 3D Knowledge Space for Aboriginal Knowledge
Chinese culture approached through touch: Chinese cultural heritage learnt via touch-based games
Elders-up! An adaptive system for enabling knowledge transfer from senior adults to small companies
Blending two virtual realities: Using Google Glass to explore a virtual reality model of the Villa of Good Fortune at Olynthus
Performance analysis of three-dimensional medical image compression based on discrete wavelet transform
Kcanvas: An application for creative personal knowledge management
3D scanning documentation of two different objects - The King's Chinese Cabinet in Wilanow Palace Museum and a Roman gravestone from archeological excavations in Moesia Inferior as a part of multidisciplinary research
Predictive Occlusion Culling for Interactive Rendering of Large Complex Virtual Scene
Come Closer: Encouraging Collaborative Behaviour in a Multimedia Environment
3D virtual reconstructions of artworks by a multiview scanning process
The Use of Multi-sensory Feedback to Improve the Usability of a Virtual Assembly Environment
Towards a methodology for 3D content models: The reconstruction of ancient vaults for maintenance and structural behaviour in the logic of BIM management
A novel approach for tourism and education through virtual Vitoria-Gasteiz in the 16 th century
A novel gesture-based interface for a VR simulation: Re-discovering Vrouw Maria
PepperGram with interactive control
Virtual navigation in the ancient Egyptian funerary rituals
Remote rendering and visualization of large textured 3D models