yusuke1997/dblp-id-title huggingface dataset:
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis
Improving the Performance of Infomax Using Statistical Signal Processing Techniques
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge
Energy-Based Clustering for Pruning Heterogeneous Ensembles
Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering
Automated Text Categorization Based on Readability Fingerprints
Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features
A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds
JointPose: Jointly Optimizing Evolutionary Data Augmentation and Prediction Neural Network for 3D Human Pose Estimation
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing
Communication Style - An Analysis from the Perspective of Automated Learning
A Methodology for Estimating the Product Life Cycle Cost Using a Hybrid GA and ANN Model
Selecting Salient Features for Classification Committees
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models
Full Integer Arithmetic Online Training for Spiking Neural Networks
Routine Modeling with Time Series Metric Learning
Neural Network Based Algorithm for Radiation Dose Evaluation in Heterogeneous Environments
Decorelated Weight Initialization by Backpropagation
Generalizing Message Passing Neural Networks to Heterophily Using Position Information
Strengthening the Forward Variable Selection Stopping Criterion
An Analog VLSI Computational Engine for Early Vision Tasks
Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition
Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks
Leveraging Machine-Translated Data for Sentiment Analysis in Low-Resource Languages: A Case Study on Bengali
A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning
Boltzmann Machines for Image Denoising
Improving Neural Network Verification Efficiency Through Perturbation Refinement
Basic Analysis of Digital Spike Maps
Vector Field Approximation by Model Inclusive Learning of Neural Networks
Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps
Identification of Frequency-Domain Volterra Model Using Neural Networks
Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model
Complex-Valued Multilayer Perceptron Search Utilizing Eigen Vector Descent and Reducibility Mapping
Wave Propagation in Self-Organizing Feature Maps as a Means for the Representation of Temporal Sequences
Neural Machine Translation Based on Prioritized Experience Replay
A Dual Route Neural Net Approach to Grapheme-to-Phoneme Conversion
Efficient Question Answering Based on Language Models and Knowledge Graphs
Neural Combustion Control
M-CLANN: Multi-class Concept Lattice-Based Artificial Neural Network for Supervised Classification
Applying Machine Learning to Solve an Estimation Problem in Software Inspections
Online Carry Mode Detection for Mobile Devices with Compact RNNs
Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks
Recursive Principal Component Analysis of Graphs
NewPR-Combining TFIDF with Pagerank
Traffic Flow Prediction Based on Multi-type Characteristic Hybrid Graph Neural Network
Error Functions for Prediction of Episodes of Poor Air Quality
Contrastive Learning and the Emergence of Attributes Associations
Uncertainty Quantification in Video Distortion Classification Under Dataset Shift
Interferences in the Transformation of Reference Frames During a Posture Imitation Task
Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images
Predictive Coding in Cortical Microcircuits
Multi-label Quadruplet Dictionary Learning
Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks
Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location
Aspect-Based Sentiment Classification with Reinforcement Learning and Local Understanding
LorenTzE: Temporal Knowledge Graph Embedding Based on Lorentz Transformation
Surface Reconstruction Method Based on a Growing Self-Organizing Map
Greedy KPCA in Biomedical Signal Processing
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks
Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio
Algorithms for Obtaining Parsimonious Higher Order Neurons
Low-Level Graph Convolution Network for Point Cloud Processing
Model Based Clustering of Time Series Utilizing Expert ODEs
LogBERT-BiLSTM: Detecting Malicious Web Requests
Comparison of Wavelet Thresholding Methods for Denoising ECG Signals
Prediction of Compaction Characteristics of Granular Soils by Neural Networks
Incorporating Scale Invariance into the Cellular Associative Neural Network
Active Generation of Training Examples in Meta-Regression
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I
MINLIP: Efficient Learning of Transformation Models
G-Networks and the Modeling of Adversarial Agents
Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content
Image Segmentation for 3D Object Recognition Using Bidirectional Networks
An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data
Accelerating Kernel Perceptron Learning
Temporal Compositional Processing by a DSOM Hierarchical Model
Heterogeneous Graph Attention Network for Malicious Domain Detection
A General-Purpose Material Entity Extraction Method from Large Compound Corpora Using Fine Tuning of Character Features
Latency-Based Probabilistic Information Processing in Recurrent Neural Hierarchies
Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework
Improving the Associative Rule Chaining Architecture
Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs
Sparse Single-Hidden Layer Feedforward Network for Mapping Natural Language Questions to SQL Queries
On the Inability of Markov Models to Capture Criticality in Human Mobility
Chinese Lexical Normalization Based on Information Extraction: An Experimental Study
Multi-task Learning for Mongolian Morphological Analysis
Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders
A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields
From Neural Principal Components to Neural Independent Components
A Model for Center-Surround Stimulus-Dependent Receptive Fields
Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation
Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?
Attention-Based Feature Interaction Deep Factorization Machine for CTR Prediction
Merging Echo State and Feedforward Neural Networks for Time Series Forecasting
Local Rejection Strategies for Learning Vector Quantization
Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields
A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data
Modeling Working Memory and Decision Making Using Generic Neural Microcircuits
On-line Training of ESN and IP Tuning Effect
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
Semi-supervised Learning for WLAN Positioning
Learning in Recurrent Spiking Neural Networks with Sparse Full-FORCE Training
Macrocolumns as Decision Units
E-Patcher: A Patch-Based Efficient Network for Fast Whole Slide Images Segmentation
Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters
A Multi-Task Instruction with Chain of Thought Prompting Generative Framework for Few-Shot Named Entity Recognition
Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network
Neural Networks for Adaptive Processing of Structured Data
ASP Loss: Adaptive Sample-Level Prioritizing Loss for Mass Segmentation on Whole Mammography Images
Action Understanding and Imitation Learning in a Robot-Human Task
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm
Neural Networks for Proof-Pattern Recognition
Gaze Behavior Patterns for Early Drowsiness Detection
Echo State Networks for Multi-dimensional Data Clustering
A High-Speed Scalable CMOS Current-Mode Winner-Take-All Network
Investigating Pollen Data with the Aid of Fuzzy Methods
A Neural Circuit Model of Adaptive Robust Tracking Control for Continuous-Time Nonlinear Systems
Architectural Bias in Recurrent Neural Networks - Fractal Analysis
Transformations of Symbolic Data for Continuous Data Oriented Models
Enriched Feature Representation and Combination for Deep Saliency Detection
Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology
Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers
Robust Nonparametric Probability Density Estimation by Soft Clustering
Investigation of EEG-Based Graph-Theoretic Analysis for Automatic Diagnosis of Alcohol Use Disorder
Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network
HARNet: Human Activity Recognition with Spatial-Temporal Features
Comparison of Neural Networks Incorporating Partial Monotonicity by Structure
Variational Foundations of Online Backpropagation
Learning from Noisy Label Distributions
Reducing Communication for Distributed Learning in Neural Networks
Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree
The Statistical Characteristics of P3a and P3b Subcomponents in Electroencephalography Signals
On Unsupervised Learning of Traversal Cost and Terrain Types Identification Using Self-organizing Maps
Joint Edge-Guided and Spectral Transformation Network for Self-supervised X-Ray Image Restoration
Space-Time Video Super-Resolution Based on Long-Term Time Dependence
A Unified Video Semantics Extraction and Noise Object Suppression Network for Video Saliency Detection
Multi-step-ahead Prediction Based on B-Spline Interpolation and Adaptive Time-Delay Neural Network
Coding of Objects in Low-Level Visual Cortical Areas
Explaining Concept Drift by Mean of Direction
Art Style Backdoor Attacks on Semantic Segmentation Models
Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions
HaarStyle:Revision Style Transfer Based on Multiple Resolutions
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation
ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-Grained Evaluation
A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks
When NMDA Receptor Conductances Increase Inter-spike Interval Variability
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection
Blind Source Separation Using Principal Component Neural Networks
Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields
Learning Curves of On-line and Off-line Training
DWA: Differential Wavelet Amplifier for Image Super-Resolution
Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network
Exploring Individuality in Human EEG Using Reservoir Computing
A Mirror Neuron System for Syntax Acquisition
Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers
Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Improving RBF Networks by the Feature Selection Approach EUBAFES
Feature Creation Towards the Detection of Non-control-Flow Hijacking Attacks
Learning Verification in Multilayer Neural Networks
Support Vector Neural Training
Advancing Brain Tumor Detection with Multiple Instance Learning on Magnetic Resonance Spectroscopy Data
Lattice Independent Component Analysis for fMRI Analysis
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities
Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback
Incremental Input Variable Selection by Block Addition and Block Deletion
Group Fused Lasso
F-Transformer: Point Cloud Fusion Transformer for Cooperative 3D Object Detection
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II
Learning Sparse Hidden States in Long Short-Term Memory
Goal Sequencing for Construction Agents in a Simulated Environment
A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar
A Novel Image Tag Completion Method Based on Convolutional Neural Transformation
Block-Level Stiffness Analysis of Residual Networks
A Novel Topological Map of Place Cells for Autonomous Robots
PGD: Probe Guided Decoding for Alignment
Comparison of Feature Extraction Techniques for Handwritten Digit Recognition with a Photonic Reservoir Computer
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates
Kernel Depth Measures for Functional Data with Application to Outlier Detection
Neural Networks Ensemble for Cyclosporine Concentration Monitoring
SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning
Instance-Adaptive Attention Mechanism for Relation Classification
A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval
A Unified Platform to Evaluate STDP Learning Rule and Synapse Model Using Pattern Recognition in a Spiking Neural Network
Estimating the Size of Neural Networks from the Number of Available Training Data
Detection and Recognition of Badgers Using Deep Learning
Multi-item Working Memory Capacity: What Is the Role of the Stimulation Protocol?
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II
Consciousness versus Attention
Evolving Efficient Connection for the Design of Artificial Neural Networks
Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 18th to 19th, 2021
Classification-Based and Lightweight Networks for Fast Image Super Resolution
AdaBoosting Neural Networks: Application to on-line Character Recognition
Neural Machine Translation Based on Improved Actor-Critic Method
A Neural Network Model for Solving the Feature Correspondence Problem
Singular Value Decomposition and Neural Networks
Probability-Generating Function Kernels for Spherical Data
Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing
Sparse and Transformation-Invariant Hierarchical NMF
Structural Position Network for Aspect-Based Sentiment Classification
Neural Self-organization for Muscle-Driven Robots
Tailored Finite Point Operator Networks for Interface Problems
RNN-SURV: A Deep Recurrent Model for Survival Analysis
A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework
Learning Relevant Time Points for Time-Series Data in the Life Sciences
A Controlling Strategy for an Active Vision System Based on Auditory and Visual Cues
Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation
Flexible Decision Process for Astronauts in Marsbase Simulator
Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks
Unsupervised Learning of Combination Features for Hierarchical Recognition Models
Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters
Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks
CLN: Complementary Learning Network for 3D Face Reconstruction and Alignment
Improving Deep Image Clustering with Spatial Transformer Layers
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
Siamese Network Based on MLP and Multi-head Cross Attention for Visual Object Tracking
Online Learning of Invariant Object Recognition in a Hierarchical Neural Network
Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network
Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction
Extraction of Binary Features by Probabilistic Neural Networks
Research on Fight the Landlords' Single Card Guessing Based on Deep Learning
The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks
Parallel Message Passing in Dual-space on Graphs
Erratum: Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques
A Mixed Ensemble Approach for the Semi-supervised Problem
Feature Selection for Trustworthy Regression Using Higher Moments
Denoising AutoEncoder Based Delete and Generate Approach for Text Style Transfer
SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data
Evaluating Performance of Random Subspace Classifier on ELENA Classification Database
Mining and Injecting Legal Prior Knowledge to Improve the Generalization Ability of Neural Networks in Chinese Judgments
Unguided Robot Navigation Using Continuous Action Space
Graph Neural Network-Based Representation Learning for Medical Time Series
A Novel Binary Spell Checker
Multi-mode Light: Learning Special Collaboration Patterns for Traffic Signal Control
LGF 2 : Local and Global Feature Fusion for Text-Guided Object Detection
Qualitative Analysis of Continuous Complex-Valued Associative Memories
Parameterized Hypercomplex Graph Neural Networks for Graph Classification
Monotonic Multi-layer Perceptron Networks as Universal Approximators
Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory
Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules
Smooth Performance Landscapes of the Variational Bayesian Approach
Measuring Affinity: Similarity-Based Auxiliary Unlabeled Guidance for Few-Shot Segmentation
Enhancing Zero-Shot Translation in Multilingual Neural Machine Translation: Focusing on Obtaining Location-Agnostic Representations
Knowledge Base Question Generation via Data Augmentation with Dynamic-Prompt
Microsaccades for Neuromorphic Stereo Vision
Liquid State Machine on Loihi: Memory Metric for Performance Prediction
Audio-Driven Talking Head Generation with Emotion Based on FLAME Geometry Model
Reward Responses of Dopamine Neurons: A Biological Reinforcement Signal
A Model Selection Method Based on Bound of Learning Coefficient
Complexity and Criticality in Neuro-Inspired Reservoirs
An Extended Elman Net for Modeling Time Series
DFU-Net: A Diffusion-Based Fourier Neural Operator-Aided U-Net Model for Medical Image Segmentation in Edge Devices
Neural Networks for Multi-lingual Multi-label Document Classification
Efficient Learning in Sparsely Connected Boltzmann Machines
An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation
Generalization Error of Automatic Relevance Determination
Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core
A Neural Model of Spatio Temporal Coordination in Prehension
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection
Neural Model Selection: How to Determine the Fittest Criterion?
Breast Tissue Classification in Mammograms Using ICA Mixture Models
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model
Central-Diffused Instance Generation Method in Class Incremental Learning
Addressing the Privacy and Complexity of Urban Traffic Flow Prediction with Federated Learning and Spatiotemporal Graph Convolutional Networks
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms
Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity
Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network
Uncertainty Quantification and Estimation in Medical Image Classification
Graph Convolutional Network Semantic Enhancement Hashing for Self-supervised Cross-Modal Retrieval
Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning
Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IX
Unrolled Neural Adaptive Alternating Gradient Descent for NMF
Clustering Evaluation in Feature Space
Reinforcement Learning for Biped Locomotion
Neural Learning Algorithms Based on Mappings: The Case of the Unitary Group of Matrices
Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling
PCI: Principal Component Initialization for Deep Autoencoders
Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control
Sensor Fusion for Mine Detection with the RNN
Time Series Prediction Using Fuzzy Wavelet Neural Network Model
A Convolutional Network Model of the Primate Middle Temporal Area
Multicategory Bayesian Decision Using a Three-Layer Neural Network
A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task
Global-Temporal Enhancement for Sign Language Recognition
An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs
Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
Some Things Psychopathologies Can Tell Us about Consciousness
Multistart Strategy Using Delta Test for Variable Selection
Progressive Image Restoration with Multi-stage Optimization
Representation and Identification Method of Finite State Automata by Recurrent High-Order Neural Networks
Objective Functions for Neural Map Formation
A Neural Network Approach to Study O 3 and PM 10 Concentration in Environmental Pollution
Nominally Conditioned Linear Regression
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part X
Application of Self Organizing Map to Preprocessing Input Vectors for Convolutional Neural Network
Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition
Perpetual Generation: Online Learning of Linear State-Space Models from a Single Stream
Rethinking Feature Context in Learning Image-Guided Depth Completion
Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay
Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection
Blast Furnace Analysis with Neural Networks
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs
Pruned-YOLO: Learning Efficient Object Detector Using Model Pruning
A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture