yusuke1997/dblp-id-title huggingface dataset:
STformer: Spatio-Temporal Transformer for Multivariate Time Series Anomaly Detection
A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation
Visual Pathways for Shape Abstraction
Model Breaking Detection Using Independent Component Classifier
Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization
A New Model for Artificial Intuition
Thermal Comfort Index Estimation and Parameter Selection Using Fuzzy Convolutional Neural Network
A Hierarchial Network for Learning Robust Models of Kinematic Chains
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning
Sampling Parameters to Estimate a Mixture Distribution with Unknown Size
Model Selection Under Covariate Shift
The Leave-One-Out Kernel
Group-Agent Reinforcement Learning
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part IV
Statistical Properties of Lattices Affect Topographic Error in Self-organizing Maps
A Sentence Generation Network That Learns Surface and Abstract Syntactic Structures
Model-Agnostic Explanations for Decisions Using Minimal Patterns
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
Label-Guided Graphormer for Hierarchy Text Classification
CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models
Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm
The Importance of Physiological Noise Regression in High Temporal Resolution fMRI
Imbalanced Data Classification Based on MBCDK-means Undersampling and GA-ANN
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
Learning to Resolve Conflicts in Multi-Task Learning
DuSAG: An Anomaly Detection Method in Dynamic Graph Based on Dual Self-attention
Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III
Hidden Markov Model for Human Decision Process in a Partially Observable Environment
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V
Improving Stability of Parameter Sharing in Cooperative Multi-agent Reinforcement Learning
Control of UPOs of Unknown Chaotic Systems via ANN
Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball
S$$^2$$R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
Random Neural Networks for the Adaptive Control of Packet Networks
A Multisensor Fusion System for the Detection of Plant Viruses by Combining Artificial Neural Networks
The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements
An Incremental Approach to Language Acquisition: Thematic Role Assignment with Echo State Networks
Machine Learning to Predict Toxicity of Compounds
Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition
Framework for the Interactive Learning of Artificial Neural Networks
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning
Reduction of Visual Information in Neural Network Learning Visualization
A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases
Estimating a Causal Order among Groups of Variables in Linear Models
Investigating the Role of Astrocyte Units in a Feedforward Neural Network
An Improved Multiplexed Resistive Network for Analog Image Preprocessing
Exploring Interpretable Semantic Alignment for Multimodal Machine Translation
Fast Communication Structure for Asynchronous Distributed ADMM Under Unbalance Process Arrival Pattern
Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals
A Complex-Valued Spiking Machine
Phonetic Feature Discovery in Speech Using Snap-Drift Learning
A Survey on Use of Soft Computing Methods in Medicine
Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces
Data Augmentation for Sentiment Analysis in English - The Online Approach
Polynominal Classifiers and Support Vector Machines
Selecting and Ranking Time Series Models Using the NOEMON Approach
Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification
Mixup Gamblers: Learning to Abstain with Auto-Calibrated Reward for Mixed Samples
Towards Measuring Bias in Image Classification
A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch
A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression
Using Long Short-Term Memory for Wavefront Prediction in Adaptive Optics
CupNet - Pruning a Network for Geometric Data
Deterministic Coincidence Detection and Adaptation Via Delayed Inputs
Input-Dependably Feature-Map Pruning
Classification of Large Data Sets by Neural Networks: A Probabilistic Viewpoint
Multi-label Robust Feature Selection via Subspace-Sparsity Learning
Chaotic Associative Memory with Adaptive Scaling Factor
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning
Local Positioning System Based on Artificial Neural Networks
The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation
Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function
Discriminative Feature Learning for Speech Emotion Recognition
Immune Clonal Selection Wavelet Network Based Intrusion Detection
Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks
Measuring Adjective Spaces
Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields
An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central Neurons
Conditional GANs for Image Captioning with Sentiments
GARCH Processes with Non-parametric Innovations for Market Risk Estimation
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation
A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks
Robust Training of Feedforward Neural Networks Using Combined Online/Batch Quasi-Newton Techniques
Gaze Target Detection with Visual Prompt Tuning Based on Attention
DeepVol: Deep Fruit Volume Estimation
DualGF: Example-Driven Path Planning via Dual Gradient Fields
MISS: A Generative Pre-training and Fine-Tuning Approach for Med-VQA
Towards Bio-inspired Robotic Trajectory Planning via Self-supervised RNN
A Perceptron-Based Approach to Piecewise Linear Modeling with an Application to Time Series
BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness
Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks
TableSF: A Structural Bias Framework for Table-To-Text Generation
Handwritten Digit Recognition with Binary Optical Perceptron
Detecting the Number of Clusters Using a Support Vector Machine Approach
Short Text Processing for Analyzing User Portraits: A Dynamic Combination
A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains
Multi-level Metric Learning for Few-Shot Image Recognition
Joint Dictionary Learning for Unsupervised Feature Selection
Pattern Identification by Committee of Potts Perceptrons
Observational Learning Based on Models of Overlapping Pathways
Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method
Analytical Technique for Deriving Connectionist Representations of Symbol Structures
A Time Multiplexing Architecture for Inter-neuron Communications
Transformation of Edge Weights in a Graph Bipartitioning Problem
Dynamics of Cortical Columns - Self-organization of Receptive Fields
Reducing Unknown Unknowns with Guidance in Image Caption
Revisiting Loss Functions for Person Re-identification
Bayesian Inference with Efficient Neural Population Codes
Multiple Object Tracking Based on Variable GIoU-Embedding Matrix and Kalman Filter Compensation
Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks
Dynamic Obstacle Avoidance for Unmanned Aerial Vehicle Using Dynamic Vision Sensor
Effects of Architecture Choices on Sparse Coding in Speech Recognition
Targeted Aspect-Based Sentiment Analysis by Utilizing Dynamic Aspect Representation
GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction
Deep Domain Knowledge Distillation for Person Re-identification
Non-convergence and Limit Cycles in the Adam Optimizer
Problem Classification for Tailored Helpdesk Auto-replies
Neural Unit Element Application for in Use Microwave Circuitry
EKD: Effective Knowledge Distillation for Few-Shot Sentiment Analysis
OFDM Channel Equalization Based on Radial Basis Function Networks
Learning Hierarchical Reasoning for Text-Based Visual Question Answering
Analytical Comparison Between the Pattern Classifiers Based upon a Multilayered Perceptron and Probabilistic Neural Network in Parallel Implementation
On Learning Soccer Strategies
Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products
Modelling Working Memory Through Attentional Mechanisms
Symmetry-Aware Siamese Network: Exploiting Pathological Asymmetry for Chest X-Ray Analysis
Post Nonlinear Independent Subspace Analysis
Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting
Hybrid Attention Driven Text-to-Image Synthesis via Generative Adversarial Networks
An Echo State Network with Working Memories for Probabilistic Language Modeling
Sensorimotor Control Learning Using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDP
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings
Modular Neural Networks for Model-Free Behavioral Learning
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis
Evolutionary Multi-objective Optimization of Spiking Neural Networks
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
Identifying Critical States by the Action-Based Variance of Expected Return
An Evaluation of Self-supervised Learning for Portfolio Diversification
Layer-Wise Activation Cluster Analysis of CNNs to Detect Out-of-Distribution Samples
A MDRNN-SVM Hybrid Model for Cursive Offline Handwriting Recognition
Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks
Bidirectional Activation-based Neural Network Learning Algorithm
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation
Classification and Tracking of Hypermedia Navigation Patterns
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
Face Identification Performance Using Facial Expressions as Perturbation
Fusing MPEG-7 Visual Descriptors for Image Classification
DRILL: Dynamic Representations for Imbalanced Lifelong Learning
Evolving Spatially Embedded Recurrent Spiking Neural Networks for Control Tasks
Making Competition in Neural Fields Suitable for Computational Architectures
Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit
Analysis of Drifting Dynamics with Competing Predictors
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model
Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning
Temporal Coding of Neural Stimuli
Exploring the Intrinsic Structure of Magnetic Resonance Spectra Tumor Data Based on Independent Component Analysis and Correlation Analysis
Implementation of Central Pattern Generator in an FPGA-Based Embedded System
Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical Data
A Large-Scale Spiking Neural Network Accelerator for FPGA Systems
Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models
Fast Sensitivity-Based Training of BP-Networks
Kernel Based Image Classification
Efficient Implementation of the THSOM Neural Network
WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting
Unsupervised Coding with LOCOCODE
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network
PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation
A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells
Probabilistic Bounds for Approximation by Neural Networks
TopoART: A Topology Learning Hierarchical ART Network
Memory Trace in Spiking Neural Networks
A Study of Deep Learning for Network Traffic Data Forecasting
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning
Optimal Extraction of Hidden Causes
Relation-Aware Global-Augmented Transformer for TextCaps
Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts
The Influence of the Risk Functional in Data Classification with MLPs
A Neurocomputational Approach to Decision Making and Aging
Using Self-Organizing Maps to Support Video Navigation
Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters
Core Sampling Framework for Pixel Classification
A Simple Generative Model for Single-Trial EEG Classification
Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks
Low-Resource Similar Case Matching in Legal Domain
Conformational Oversampling as Data Augmentation for Molecules
Contrastive Learning for Sleep Staging Based on Inter Subject Correlation
An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting
f-SWRL: A Fuzzy Extension of SWRL
A Simple Constructing Approach to Build P2P Global Computing Overlay Network
Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands
A Multi-scale Method for Cell Segmentation in Fluorescence Microscopy Images
Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing
An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine
Classification of Human Actions in Videos with a Large-Scale Photonic Reservoir Computer
Text Semantic Matching Research Based on Parallel Dropout
An Enhanced Dual-Stream Architecture for State-of-the-Art Artist and Style Classification
T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information
Spatial Foreground Bigraph Matching for Generalizable Person Re-identification
Neural Coding Model of Associative Ontology with Up/Down State and Morphoelectrotonic Transform
Enhanced Image Manipulation Detection with TPB-Net: Integrating Triple-Path Backbone and Dual-Path Compressed Sensing Attention
Towards Ontologically Explainable Classifiers
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I
Implementing Hebbian Learning in a Rank-Based Neural Network
Weight and Gradient Centralization in Deep Neural Networks
Neural Field Conditioning Strategies for 2D Semantic Segmentation
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks
Emergence of Sensory Representations Using Prediction in Partially Observable Environments
Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps
Eigenvalue Problem Approach to Discrete Minimization
Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future
A Deep Dynamic Binary Neural Network and Its Application to Matrix Converters
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks
Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms
ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods
Composite Quantile Regression Long Short-Term Memory Network
Face Recognition with VG-RAM Weightless Neural Networks
EEG-driven RNN Classification for Prognosis of Neurodegeneration in At-Risk Patients
A Functional Approach to Variable Selection in Spectrometric Problems
Bridging the Syntactic and the Semantic Web Search
Speeding up Meta-exploration via Latent Representation
Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances
Building Surrogate Models Using Trajectories of Agents Trained by Reinforcement Learning
Population Coding of Multiple Edge Orientation
MLPPose: Human Keypoint Localization via MLP-Mixer
The Behavior of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons
Approximation Capability of Continuous Time Recurrent Neural Networks for Non-autonomous Dynamical Systems
Neural Substructures for Appraisal in Emotion: Self-esteem and Depression
Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management
NAVIGATOR-D3: Neural Architecture Search Using VarIational Graph Auto-encoder Toward Optimal aRchitecture Design for Diverse Datasets
Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data
Learning How to Select an Action: A Computational Model
Time Series Generation for Augmenting Multi-channel Automotive Audio Data
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia
Unifying Perspectives on Neuronal Codes and Processing
Neural SHAKE: Geometric Constraints in Graph Generative Models
A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human Arm
Hierarchical Convolution Neural Network for Emotion Cause Detection on Microblogs
Generalized Simulated Annealing and Memory Functioning in Psychopathology
A Novel LSTM-CNN Architecture to Forecast Stock Prices
An Oscillatory Neural Network Model for Birdsong Learning and Generation
SOM-Based System for Sequence Chunking and Planning
Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality
Separable Data Aggregation in Hierarchical Networks of Formal Neurons
Learning SVMs from Sloppily Labeled Data
BICA: A Boolean Indepenedent Component Analysis Approach
Learning Optimal Primary Capsules by Information Bottleneck
Estimating Expected Calibration Errors
Adaptive Correlation Filters Feature Fusion Learning for Visual Tracking
Efficient Fine-Tuning for Low-Resource Tibetan Pre-trained Language Models
An Additive Reinforcement Learning
AI in Drug Discovery - First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings
Serial Binary Addition with Polynominally Bounded Weights
Dynamics of Incremental Learning by VSF-Network
Further Advantages of Data Augmentation on Convolutional Neural Networks
Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA)
Machine Learning Accelerated Prediction of 3D Granular Flows in Hoppers
Multistage Diagnosis of Alzheimer's Disease Based on Slice Attention Network
A MLP Solver for First and Second Order Partial Differential Equations
Natural Gradient and Multiclass NLDA Networks
Generating Distinctive Facial Images from Natural Language Descriptions via Spatial Map Fusion
TSTNet: A Sequence to Sequence Transformer Network for Spatial-Temporal Traffic Prediction
A Neural Network Model of Metaphor Generation with Dynamic Interaction
One-Shot Object Detection with 4D-Correlation and 4D-Attention
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
D 2 R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness
Real-Time Adaptive Physical Sensor Processing with SNN Hardware
Fusing Biomedical Multi-modal Data for Exploratory Data Analysis
Kernel Alignment k -NN for Human Cancer Classification Using the Gene Expression Profiles
Short-Term Temperature Forecasting on a Several Hours Horizon
Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks
Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks
Towards Fine-Grained Control over Latent Space for Unpaired Image-to-Image Translation
Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation
Edged Weisfeiler-Lehman Algorithm
Adaptive Channel Encoding Transformer for Point Cloud Analysis
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning
Self-Organizing Map and Tree Topology for Graph Summarization
Towards High-Accuracy Point Cloud Registration with Channel Self-attention and Angle Invariance
A Novel Modification on the Levenberg-Marquardt Algorithm for Avoiding Overfitting in Neural Network Training
Beyond Reconstruction: A Physics Based Neural Deferred Shader for Photo-Realistic Rendering
A Multi-objective Reinforcement Learning Algorithm for JSSP
Reconstruction from Graphs Labeled with Responses of Gabor Filters
Application of Radial Basis Function Neural Networks to Odour Sensing Using a Broad Specifity Array of Conducting Polymers
Driver Safety System: A Real-Time Sleep Detection and Lane Detection Model Using IoT and Deep Learning
Learning for Text Summarization Using Labeled and Unlabeled Sentences
Autonomous Learning Paradigm for Spiking Neural Networks
Centering Versus Scaling for Hubness Reduction
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
How Fast can Neuronal Algorithms Match Patterns
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification
Development of an Advisory System Based on a Neural Network for the Operation of a Coal Fired Power Plant
Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II
An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map
NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme Using Natural Language Inference and Negative Sampling
Visual Recognition Based on Coding in Temporal Cortex: Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental Rotation
Falcon: Malware Detection and Categorization with Network Traffic Images
Character-Based LSTM-CRF with Semantic Features for Chinese Event Element Recognition
Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision
Coarse Coding Accouts for Improvement of Spatial Discrimination after Plastic Reorganization in Rats and Humans
Classification of Dehiscence Defects in Titanium and Zirconium Dental Implants
Combining Data Generation and Active Learning for Low-Resource Question Answering
A Non-parametric Maximum Entropy Clustering
Bilinear Models for Machine Learning
Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings
Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction