yusuke1997/dblp-id-title huggingface dataset:
Using Growing hierarchical self-organizing maps for document classification
Processing Hyperspectral Data in Machine Learning
Price direction prediction in financial markets, using Random Forest and Adaboost
Motion processing in the retina: about a velocity matched filter
Non-linearly increasing resampling in racing algorithms
CDTW-based classification for Parkinson's Disease diagnosis
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
A neural network cost function for highly class-imbalanced data sets
Using very deep autoencoders for content-based image retrieval
Three-dimensional self-organizing dynamical systems for discrete structures memorizing and retrieval
Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen map
A simple idea to separate convolutive mixtures in an undetermined scenario
Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening
Regularised maximum-likelihood inference of mixture of experts for regression and clustering
Stimulus processing and unsupervised learning in autonomously active recurrent networks
Extending the CMAC model: adaptive input quantization
Metric adaptation for supervised attribute rating
Financial time series forecasting with machine learning techniques: a survey
Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation
Visualizing asymmetric proximities with MDS models
Cost-sensitive cascade graph neural networks
Margin based Active Learning for LVQ Networks
Reducing policy degradation in neuro-dynamic programming
Reconstruction of Mammography Projections using Image-to-Image Translation Techniques
Maximum covariance method for weight initialization of multilayer perceptron network
Stability of backpropagation-decorrelation efficient O(N) recurrent learning
Correlated Weights Neural Layer with external control
Initialisation improvement in engineering feedforward ANN models
Efficient feature selection for domain adaptation using Mutual Information Maximization
Delaunay simplices pruning based clustering
Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data
Feature noise tuning for resource efficient Bayesian Network Classifiers
Adaptive Learning in Changing Environments
Graph-based Categorical Embedding
SOM based methods in early fault detection of nuclear industry
Studies on reservoir initialization and dynamics shaping in echo state networks
Modeling of growing networks with directional attachment and communities
Analyses on the temporal patterns of spikes of auditory neurons by a neural network and tree-based models
Artificial neural network fusion: Application to Arabic words recognition
Gradient representations in ReLU networks as similarity functions
Unsupervised feature selection for sparse data
Weight initialization methods for multilayer feedforward
Forget early exaggeration in t-SNE: early hierarchization preserves global structure
Coverage-performance estimation for classification with ambiguous data
From retinal circuits to motion processing: a neuromorphic approach to velocity estimation
Praticing Q-learning
Boundary-Based Fairness Constraints in Decision Trees and Random Forests
Content-based image retrieval with hierarchical Gaussian Process bandits with self-organizing maps
Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons
Unsupervised Latent Space Translation Network
An Ensemble Learning Technique for Multipartite Ranking
Relational Generative Topographic Map
Double self-organizing maps to cluster gene expression data
Separation of a mixture of signals using linear filtering and second order statistics
A Survey of Machine Learning applied to Computer Networks
Pruning kernel density estimators
unsupervised fuzzy ensembles and their use in intrusion detection
An algebra for recognition of spatio-temporal forms
On the short-term-memory of WTA nets
A linear adaptive neural network for extraction of independent components
Finding the most interpretable MDS rotation for sparse linear models based on external features
Meter value recognition using locally connected hierarchical networks
Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems
Evolutionary framework for the construction of diverse hybrid ensembles
Prediction of palm oil production with an enhanced n-Tuple Regression Network
A regression model with a hidden logistic process for signal parametrization
Mixture of Experts and Local-Global Neural Networks
Tensor decomposition of dense SIFT descriptors in object recognition
Regularization in oculomotor adaptation
Visualizing distortions in continuous projection techniques
On the Stability of Neural Segmentation in Radiology
Analyzing surveys using the Kohonen algorithm
Immune Network based Ensembles
Multiresolution codes for scene categorization
From source separation to ICA: an introduction to the special session
CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning
Exploiting local structure in stacked Boltzmann machines
Statistical properties of the 'Hopfield estimator' of dynamical systems
Prediction of post-synaptic activity in proteins using recursive feature elimination
Processing, mining and visualizing massive urban data
One-class classifier based on extreme value statistics
Stable Diffusion Dataset Generation for Downstream Classification Tasks
Neural network based 2D/3D fusion for robotic object recognition
Distance metric learning: a two-phase approach
Discriminant functional gene groups identification with machine learning and prior knowledge
Exploiting vertices states in GraphESN by weighted nearest neighbor
Performance analysis of a MLP weight initialization algorithm
On the Limitations of Model Stealing with Uncertainty Quantification Models
A chaotic basis for neural coding
Dissimilarity Clustering by Hierarchical Multi-Level Refinement
Unsupervised Drift Detection Using Quadtree Spatial Mapping
Biologically inspired eye movements for visually guided navigation of mobile robots
Predicting low gamma- from lower frequency band activity in electrocorticography
Isolated word recognition using a Liquid State Machine
Moving Least Squares Support Vector Machines for weather temperature prediction
Feature Compression Using Dynamic Switches in Multi-split CNNs
Unsupervised Word Representations Learning with Bilinear Convolutional Network on Characters
Measuring scoring efficiency through goal expectancy estimation
Topological map for binary data
Large-scale dataset and benchmarking for hand and face detection focused on sign language
Short Term Memory Quantifications in Input-Driven Linear Dynamical Systems
Parallelizing single patch pass clustering
Random projection initialization for deep neural networks
The application of neural networks to the paper-making industry
Learning sparse codes for image reconstruction
Traking global minima using a range expansion algorithm
A One-Vs-One Classifier Ensemble With Majority Voting for Activity Recognition
Knowledge and generalisation in simple learning systems
Canonical correlation analysis using artificial neural networks
A preconditioned accelerated stochastic gradient descent algorithm
Autoregressive independent process analysis with missing observations
Averaging of kernel functions
On-line learning dynamics of ReLU neural networks using statistical physics techniques
Theory of Input Driven Dynamical Systems
Gaussian process regression for the estimation of stable univariate time-series processes
Adaptive Global Metamodeling with Neural Networks
Cross-Encoded Meta Embedding towards Transfer Learning
Extreme Minimal Learning Machine
A comparison of two weight pruning methods
Machine learning in the biopharma industry
Self-organizing ANNs for planetary surface composition research
Classification using non-standard metrics
Evolutionary Optimization of Neural Networks for Face Detection
Solving Inverse Source Problems for Sources with Arbitrary Shapes using Sensor Networks
Causal relevance learning for robust classification under interventions
Automatic crime report classi cation through a weightless neural network
Biased Edge Dropout in NIFTY for Fair Graph Representation Learning
Enhancing learning at work. How to combine theoretical and data-driven approaches, and multiple levels of data?
Analysis of the Weighted Fuzzy C-means in the problem of source location
Graph generation by sequential edge prediction
Mixed order associative networks for function approximation, optimisation and sampling
maximum likelihood estimation and polynomial system solving
From neuronal cost-based metrics towards sparse coded signals classification
Fuzzy support vector machines for multiclass problems
Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation
Homogeneous bipartition based on multidimensional ranking
Size invariance by dynamic scaling in neural vision systems
Deep neural network analysis of go games: which stones motivate a move?
Solving constrained Lasso and Elastic Net using nu-SVMs
Quantum-ready vector quantization: Prototype learning as a binary optimization problem
Calliope - A Polyphonic Music Transformer
Constructive Reservoir Computation with Output Feedbacks for Structured Domains
Visualizing pay-per-view television customers churn using cartograms and flow maps
On Instance Weighted Clustering Ensembles
Predicting spike train responses of neuron models
Potential analysis of a Quantum RL controller in the context of autonomous driving
Enhancing brain decoding using attention augmented deep neural networks
Information visualisation and machine learning: latest trends towards convergence
Least-squares temporal difference learning based on extreme learning machine
Usage Guided Clustering of Web Pages with the Median Self Organizing Map
Learning with hard constraints as a limit case of learning with soft constraints
Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case
Deploying SDP for machine learning
Ensemble Methods for Multilayer Feedforward
Oriented Bounding Box Computation Using Particle Swarm Optimization
Interactive dimensionality reduction of large datasets using interpolation
Tuning the Distribution Dependent Prior in the PAC-Bayes Framework based on Empirical Data
Regularized Committee of Extreme Learning Machine for Regression Problems
Robust cartogram visualization of outliers in manifold learning
Neural models for the analysis of kidney disease patients
Reduced dimensionality space for post placement quality inspection of components based on neural networks
Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity
Hybrid generative/discriminative training of radial basis function networks
An event-driven framework for the simulation of networks of spiking neurons
A general approach to construct RBF net-based classifier
Emotional Intensity Level Analysis of Speech Emotional Intensity Estimation
Spiking Neural Networks: Principles and Challenges
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
Adaptive distance measures for sequential data
Nonlinear data projection on a sphere with controlled trade-off between trustworthiness and continuity
Width optimization of the Gaussian kernels in Radial Basis Function Networks
Feature Selection for Concept Drift Detection
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
Chaotic time series prediction using the Kohonen algorithm
Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning
The filtered associative network
Interactive dimensionality reduction for visual analytics
Multimodal Approach for Harmonized System Code Prediction
Automated green machine learning for condition-based maintenance
Kernel generative topographic mapping
Designing semantic feature spaces for brain-reading
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment
GeoKernels: modeling of spatial data on geomanifolds
PCNN neurocomputers - Event driven and parallel architectures
Informed Machine Learning for Complex Data
A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity
Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection
Discrimination of visual pedestrians data by combining projection and prediction learning
Model collisions in the dissimilarity SOM
Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets
Functional preprocessing for multilayer perceptrons
Input Routed Echo State Networks
Federated Adaptation of Reservoirs via Intrinsic Plasticity
Neural networks for financial forecast
Phenomenal weightless machines
An application of the temporal difference algorithm to the truck backer-upper problem
Towards Adversarial Attack Resistant Deep Neural Networks
The self-organising map, robustness, self-organising criticality and power law
Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces
Parametric bootstrap for asymptotic test of contrast difference in neural networks
Data-Efficient Training of High-Resolution Images in Medical Domain
Directional predictions for 4-class BCI data
A dictionary learning based method for aCGH segmentation
The extraction of Sugeno fuzzy rules from neural networks
Selecting from an infinite set of features in SVM
Independent component analysis for mixture densities
Ensembles of extreme learning machine networks for value prediction
Estimation of Hybrid HMM/MLP models
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction
Towards Explainable Evolution Strategies with Large Language Models
Anomaly detection and representation learning in an instrumented railway bridge
Novelty detection for strain-gauge degradation using maximally correlated components
Maximum likelihood Hebbian rules
Gap filling in air temperature series by matrix completion methods
Tournament Selection Improves Cartesian Genetic Programming for Atari Games
Forecasting Financial Markets with Classified Tactical Signals
Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm
Interval discriminant analysis using support vector machines
Feature selection for label ranking
Hierarchical Recurrent Filtering for Fully Convolutional DenseNets
Diversity creation in local search for the evolution of neural network ensembles
Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization
Comparison of different classification methods on castabilty data coming from steelmaking practice
Interpreting deep learning models for ordinal problems
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
Towards calibration-free online EEG motor imagery decoding using Deep Learning
Approximate operations in Convolutional Neural Networks with RNS data representation
Spatial filters for the classification of event-related potentials
Phase transition in sparse associative neural networks
generative independent component analysis for EEG classification
Decay Momentum for Improving Federated Learning
23rd European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 22-24, 2015
Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control
Online policy adaptation for ensemble classifiers
Geometric models with co-occurrence groups
Extensive assessment of Barnes-Hut t-SNE
A new hyperbolic visualization method for displaying the results of a neural gas model: application to Webometrics
Segmentation-free detection of overtaking vehicles with a two-stage time-delay neural network classifier
A multi-modular associator network for simple temporal sequence learning and generation
Novel approximations for inference and learning in nonlinear dynamical systems
Neural network adative wavelets for function approximation
An integer recurrent artificial neural network for classifying feature vectors
transferring style in motion capture sequences with adversarial learning
Neural Network Algorithms for the p-Median Problem
Concept Drift Segmentation via Kolmogorov-Trees
Self-organized chains for clustering
Kernel based collaborative filtering for very large scale top-N item recommendation
Incremental learning algorithms and applications
11th European Symposium on Artificial Neural Networks, ESANN 2003, Bruges, Belgium, April 23-25, 2003, Proceedings
Certainty-based prototype insertion/deletion for classification with metric adaptation
A resampling and multiple testing-based procedure for determining the size of a neural network
Iterative multi-task sequence labeling for predicting structural properties of proteins
Sparse support vector machines by kernel discriminant analysis
On the selection of hidden neurons with heuristic search strategies for approximation
magnitude sensitive competitive learning
Benign overfitting of fully connected Deep Nets: A Sobolev space viewpoint
The stability of feature selection and class prediction from ensemble tree classifiers
BCI Signal Classification using a Riemannian-based kernel
Machine Learning Techniques based on Random Projections
Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach
RNAsynth: constraints learning for RNA inverse folding
Curvilinear component analysis and Bregman divergences
Similarities between policy gradient methods in reinforcement and supervised learning
A neural model with feedback for robust disambiguation of motion
Optimal design of hierarchical wavelet networks for time-series forecasting
Bayesian decision theory on three layered neural networks
A Deep Double Q-Learning as a SDLS support in solving LABS problem
Learning Semantic Prediction using Pretrained Deep Feedforward Networks
Robust Topology Representing Networks
Exploring the Importance of Sign Language Phonology for a Deep Neural Network
Gaussian Mixture Models for multiclass problems with performance constraints
A supervised radial basis function neural network
FINGeR: Framework for interactive neural-based gesture recognition
Trends in Unsupervised Learning
Viral initialization for spectral clustering
Image-to-Text Transduction with Spatial Self-Attention
A state-space model on interactive dimensionality reduction
Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction
Towards constructive and destructive dynamic network configuration
Optimization of Gaussian process hyperparameters using Rprop
Heuristics Miner for Time Intervals
Dynamic autonomous image segmentation based on Grow Cut
Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics
The Coming of Age of Interpretable and Explainable Machine Learning Models
Derivative-Free Optimization Approaches for Force Polytopes Prediction
Computing and stopping the solution paths for $\nu$-SVR
Spectral clustering and discriminant analysis for unsupervised feature selection
Multi-objective optimization perspectives on reinforcement learning algorithms using reward vectors
Machine Learning and Content-Based Multimedia Retrieval
Analysis of dynamic perfusion MRI data by neural networks
visualizing image classification in fourier domain
Construction of an interactive and competitive artificial neural network for the solution of path planning problems
On the use of a clinical kernel in survival analysis
Model selection for Extreme Minimal Learning Machine using sampling
Digital Image Processing with Neural Networks
Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding
Neural-network-based estimation of normal distributions in black-box optimization
Human Algorithmic Stability and Human Rademacher Complexity
A Machine Learning Approach for School Dropout Prediction in Brazil
Application of Tensor and Matrix Completion on Environmental Sensing Data
Bat echolocation modelling using spike kernels with Support Vector Regression
Visualizing stacked autoencoder language learning
On Feature Removal for Explainability in Dynamic Environments
Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry
D-VisionDraughts: a draughts player neural network that learns by reinforcement in a high performance environment
Scalable robust clustering method for large and sparse data
Real-time capable Ensemble Estimation for 2D Object Detection
"Kernelized" Self-Organizing Maps for Structured Data
Visual place recognition using Bayesian filtering with Markov chains
The one-sided mean kernel: a positive definite kernel for time series
Safety-Oriented Pruning and Interpretation of Reinforcement Learning Policies
Multioutput Regression Neural Network Training via Gradient Boosting
Learning null space projections fast
Petri nets design based on neural networks
A biologically plausible neuromorphic system for object recognition and depth analysis
Auto-adaptive Laplacian Pyramids
Multi-task learning for speech recognition: an overview
A modified trajectory reversing method for the stability analysis of neural network
A new information criterion for the selection of subspace models
Interactive dual projections for gene expression analysis
Separation of sources in a class of post-nonlinear mixtures
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Robust Local Cluster Neural Networks
Judging competitions and benchmarks: a candidate election approach
Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks
Limitations of hybrid systems
A model-based approach to meta-Reinforcement Learning: Transformers and tree search
Semi-automatic acquisition and labelling of image data using SOMs
Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks
Mixture of stochastic block models for multiview clustering
Semi-Blind Approaches for Source Separation and Independent component Analysis
Application of stochastic recurrent reinforcement learning to index trading
Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA)
Facial image retrieval using sequential classifiers
behaviour-based working memory capacity classification using recurrent neural networks
Learning by geometrical shape changes of dendritic spines
EM-algorithm for training of state-space models with application to time series prediction
Personalizing human activity recognition models using incremental learning
Attractor-based computation with reservoirs for online learning of inverse kinematics
Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime
Adaptive Metrics for Content Based Image Retrieval in Dermatology
DropConnect for Evaluation of Classification Stability in Learning Vector Quantization
Reservoir Memory Networks
Feature selection for transfer learning using particle swarm optimization and complexity measures
Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement Learning
A multiagent architecture for concurrent reinforcement learning
Paralell dynamics of extremely diluted neural networks
A new biologically plausible supervised learning method for spiking neurons
Deep latent position model for node clustering in graphs
Randomized Machine Learning Approaches: Recent Developments and Challenges
Concerning the formation of chaotic behaviour in recurrent neural networks
The class of linear separability method
Classifying n-back EEG data using entropy and mutual information features
A WiSARD-based conditional branch predictor
Improvement of learning results of the selforganizing map by calculating fractal dimensions
On a Hopfield net arising in the modelling and control of over-saturated signalized intersections
Geometrical homotopy for data visualization
Developments in kernel design
Bernoulli bandits: an empirical comparison
Using semantic similarity for multi-label zero-shot classification of text documents
Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology