yusuke1997/dblp-id-title huggingface dataset:
Advances in Learning with Kernels: Theory and Practice in a World of growing Constraints
Multi-class classification of ovarian tumors
Insight-SNE: Understanding t-SNE Embeddings through Interactive Explanation
New criterion of identification in the multilayered perceptron modelling
Neural networks for fault diagnosis of industrial plants at different working points
Generalisation capabilities of a distributed neural classifier
Acceleration of Prototype Based Models with Cascade Computation
Extending FSNPC to handle data points with fuzzy class assignments
A multi-steap ahead prediction method based on local dynamic properties
An efficient formulation of sparsity controlled support vector regression
Modeling efficient conjunction detection with spiking neural networks
Transformations for variational factor analysis to speed up learning
A Kohonen map representation to avoid misleading interpretations
Efficient Knowledge Aggregation Methods for Weightless Neural Networks
Exploring the impact of alternative feature representations on BCI classification
Resource-efficient Incremental learning in very high dimensions
A new fuzzy neural system with applications
Trimming the inputs of RBF networks
Two neural network methods for multidimensional scaling
Semantic Prediction: Which One Should Come First, Recognition or Prediction?
Pruning and Regularisation in Reservoir Computing: a First Insight
Using event-based metric for event-based neural network weight adjustment
A Fuzzy ARTMAP Probability Estimator with Relevance Factor
On Fb-score and Cost-Consistency in Evaluation of Imbalanced Classification
Learning of perceptual states in the design of an adaptive wall-following behavior
Local Lyapunov Exponents of Deep RNN
Improving robustness of fuzzy gene modeling
Automated operational states detection for drilling systems control in critical conditions
I see you: on neural networks for indoor geolocation
How to generalize geometric ICA to higher dimensions
A new dynamic LVQ-based classifier and its application to handwritten character recognition
Recurrent Neural Network based Counter Automata
Learning from partially labeled data
Bayesian source separation: beyond PCA and ICA
Model selection for neural networks: comparing MDL and NIC
Multi-task Preference learning with Gaussian Processes
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression
Transfer functions: hidden possibilities for better neural networks
One-class SVM regularization path and comparison with alpha seeding
Neural networks with orthogonalised transfer functions
Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification
LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables
Minkowski logarithmic error: A physics-informed neural network approach for wind turbine lifetime assessment
A Lightweight Approach for Origin-Destination Matrix Anonymization
Simultaneous Clustering and Segmentation for Functional Data
Ensembles for Continuous Actions in Reinforcement Learning
Distributed learning algorithm for feedforward neural networks
Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text
Understanding and improving unsupervised training of Boltzman machines
Autonomous learning algorithm for fully connected recurrent networks
In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models
Exploring the feature space of character-level embeddings
Large-scale nonlinear dimensionality reduction for network intrusion detection
Human motion recognition using Nonlinear Transient Computation
A discriminative HCNN modeling
Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms
Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering
Inductive learning in animat-based neural networks
Accomodating relevance in neural networks
Learning missing edges via kernels in partially-known graphs
Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness
The error-related potential and BCIs
Theory and applications of neural maps
Improving the DRASiW performance by exploiting its own "Mental Images"
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples
When does geodesic distance recover the true hidden parametrization of families of articulated images?
Hyperbolic Metabolite-Disease Association Prediction
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification
Stochastic Processes for Canonical Correlation Analysis
Real-time convolutional networks for sonar image classification in low-power embedded systems
Beyond histograms: why learned structure-preserving descriptors outperform HOG
Hyper-spectral frequency selection for the classification of vegetation diseases
Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation
Discriminacy of the minimum range approach to blind separation of bounded sources
Learning with a Fisher surrogate loss in a small data regime
A Learning Machine with a Bit-Based Hypothesis Space
Visualisation of tree-structured data through generative probabilistic modelling
Improving the firefly algorithm through the Barnes-Hut tree code
Bioinformatics and medicine in the era of deep learning
Figure-ground Segmentation using Metrics Adaptation in Level Set Methods
A robust non-linear projection method
UWB radar target identification based on linear RBFNN
Magnification Control in Relational Neural Gas
Sparse approximations for kernel learning vector quantization
Parsimonious learning feed-forward control
Choosing the best algorithm for an incremental on-line learning task
Verifying Deep Learning-based Decisions for Facial Expression Recognition
Visualizing and Improving 3D Mesh Segmentation with DeepView
SOM+EOF for finding missing values
Selective Neural Network Ensembles in Reinforcement Learning
NMF-Density: NMF-Based Breast Density Classifier
An automated SOM clustering based on data topology
Computational Intelligence approaches to causality detection
On the routing complexity of neural network models - Rent's Rule revisited
Enhash: A Fast Streaming Algorithm For Concept Drift Detection
T-WinG: Windowing for Temporal Knowledge Graph Completion
Fusion of estimations from two modalities using the Viterbi's algorithm: application to fetal heart rate monitoring
Accelerating stochastic kernel SOM
Learning of causal relations
A new genetic algorithm for multi-label correlation-based feature selection
Evolutionary computation based system decomposition with neural networks
Logarithmic Quantum Forking
EEG paroxystic activity detected by neural natworks after wavelet transform analysis
Network community detection with edge classifiers trained on LFR graphs
Neural competition for motion segmentation
Local Rademacher Complexity Machine
Exploring Strategies for Modeling Sign Language Phonology
Approaches for Automatic Speaker Recognition in a Binaural Humanoid Context
Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings
Are Rosenblatt multilayer perceptrons more powerfull than sigmoidal multilayer perceptrons? From a counter example to a general result
Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series
Class-Specific Feature Selection for One-Against-All Multiclass SVMs
Hierarchical Planning in Multilayered State-Action Networks
Neural networks approaches in medicine - a review of actual developments
17th European Symposium on Artificial Neural Networks, ESANN 2009, Bruges, Belgium, April 22-24, 2009, Proceedings
From first order logic to Nd: a data driven reformulation
Generative Kernel PCA
Mixed Topological Map
Binary particle swarm optimisation with improved scaling behaviour
Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments
SAT Instances Generation Using Graph Variational Autoencoders
Aspects of psychological computations in scene recognition
Visual object classification by sparse convolutional neural networks
Theoretically Expressive and Edge-aware Graph Learning
A multi-class extension for multi-labeler support vector machines
Brain-Computer Interfaces: from theory to practice
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models
Supervised classification of categorical data with uncertain labels for DNA barcoding
A divide-and-conquer learning architecture for predicting unknown motion
MAP best performances prediction for endurance runners
Face Recognition Using Recurrent High-Order Associative Memories
Wavelet interpolation networks
Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning
Modeling consumption of contents and advertising in online newspapers
Cartogram representation of the batch-SOM magnification factor
Extracting motion information using a biologically realistic model retina
Searching for the embedded manifolds in high-dimensional data, problems and unsolved questions
Pruning Weightless Neural Networks
A method for robust variable selection with significance assessment
A variational radial basis function approximation for diffusion processes
A neural model for heading detection from optic flow
Machine learning framework for control in classical and quantum domains
Validation of unsupervised clustering methods for leaf phenotype screening
Evaluating the impact of multiplicative input perturbations on radial basis function networks
Generating arbitrary rhythmic patterns with purely inhibitory neural networks
Feature Learning using Multi-view Kernel Partial Least Squares
What is observable in a class of neurodynamics?
Precursor networks for training the binary perceptron
Constructing feed-forward neural networks for binary classification tasks
Function approximation by localized basis function neural network
Proximity learning for non-standard big data
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images
A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges
Does dimensionality reduction improve the quality of motion interpolation?
Mutual information for feature selection with missing data
Bayes Point Rule Set Learning
A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier
A Multi-kernel Framework for Inductive Semi-supervised Learning
Asymptotic properties of mixture-of-experts models
Do we need experts for time series forecasting?
Linking non-binned spike train kernels to several existing spike train metrics
Physiological modelling of cochlear nucleus responses-perception of complex sounds
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic
Federated Learning Vector Quantization
A WiSARD-based multi-term memory framework for online tracking of objects
Measuring the Expressivity of Graph Kernels through the Rademacher Complexity
Multi-Directional Laplacian Pyramids for Completion of Missing Data Entries
Quantum Feature Selection with Variance Estimation
A Simple Cluster Validation Index with Maximal Coverage
Prediction of foreign exchange rates by neural network and fuzzy system based techniques
A CUSUM approach for online change-point detection on curve sequences
Kernel-based online machine learning and support vector reduction
Noise to extract independent causes
new evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpoint
Neural network piecewise linear preprocessing for time-series prediction
Evolving neural networks: Is it really worth the effort?
Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals
Organization properties of open networks of cooperative neuro-agents
Learning dot-product polynomials for multiclass problems
Real-time On-edge Classification: an Application to Domestic Acoustic Event Recognition
Population coding in a theoretical biologically plausible network
An analysis of subtask-dependency in robot command interpretation with dilated CNNs
Influence of image encoders and image features transformations in emergent communication
Spatiotemporal ICA improves the selection of differentially expressed genes
Forbidden magnification? II
Active and reactive use of virtual neural sensors
A supervised learning approach based on STDP and polychronization in spiking neuron networks
Recent developments in clustering algorithms
Advances on Weightless Neural Systems
Soft rank neighbor embeddings
A general model for higher order neurons
Survival Analysis with Cox Regression and Random Non-linear Projections
Multiple Local Models for System Identification Using Vector Quantization Algorithms
Reservoir computing for static pattern recognition
Dimensionality reduction and classification using the distribution mapping exponent
Environmental signal processing: new trends and applications
reject option paradigm for the reduction of support vectors
KNN behavior with set-valued attributes
Dynamics-aware Representation Learning via Multivariate Time Series Transformers
Markovian blind separation of non-stationary temporally correlated sources
A recognition of filaments in solar images with an artificial neural network
Ensemble of hybrid networks with strong regularization
Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir
A WNN model based on Probabilistic Quantum Memories
A distributed approach for classification using distance metrics
Sparse LS-SVMs using additive regularization with a penalized validation criterion
POKer: a Partial Order Kernel for Comparing Strings with Alternative Substrings
Dynamic gesture recognition using Echo State Networks
Generalized Relevance LVQ with Correlation Measures for Biological Data
Texture analysis with the Volterra model using conjugate gradient optimisation
Physical activity recognition from sub-bandage sensors using both feature selection and extraction
Meta Online Learning: Experiments on a Unit Commitment Problem
Multi-Fidelity Reinforcement Learning with Control Variates
14th European Symposium on Artificial Neural Networks, ESANN 2006, Bruges, Belgium, April 26-28, 2006, Proceedings
Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic Uncertainty
Recurrent neural networks and motor programs
Random search enhancement of error minimized extreme learning machine
Efficient computation of counterfactual explanations of LVQ models
Sparse Least Squares Support Vector Machines via Multiresponse Sparse Regression
Feature Extraction and Learning for RSSI based Indoor Device Localization
An evolutive architecture coupled with optimal perceptron learning for classification
Adaptive signal processing with unidirectional Hebbian adaptation laws
Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks
A structure independent algorithm for causal discovery
A constructive training algorithm for feedforward neural networks with ternary weights
Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem
Spatial pooling as feature selection method for object recognition
Making machine learning models interpretable
Informed Machine Learning: Excess Risk and Generalization
An unified framework for 'All data at once' multi-class Support Vector Machines
Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment
Mobility Prediction Using Fully-Complex Extreme Learning Machines
Two or three things that we know about the Kohonen algorithm
Synchronization in a neural network of phase oscillators with time delayed coupling
Supervised learning in committee machines by PCA
Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA
Conditional WGAN for grasp generation
MAP decomposition of a mixture of AR signal using multilayer perceptrons
Logarithmic division for green feature selection: an information-theoretic approach
Neural networks and machine learning in bioinformatics - theory and applications
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study
Learning Step Size Adaptation in Evolution Strategies
Outlining a simple and robust method for the automatic detection of EEG arousals
Towards sub-quadratic learning of probability density models in the form of mixtures of trees
Transformers for Molecular Graph Generation
Place-to-time code transformation during saccades
An ART-type network approach for video object detection
How machine learning won the Higgs boson challenge
Exploiting the ODD framework to define a novel effective graph kernel
Applications of multi-objective structure optimization
Stability of Neural Network Control for Uncertain Sampled-Data Systems
Adaptive structure metrics for automated feedback provision in Java programming
Neural oscillations allow for selective inhibition - New perspective on the role of cortical gamma oscillations
ANN for facial information processing: a review of recent approaches
The dynamics of Learning Vector Quantization
Seeing is believing: The importance of visualization in real-world machine learning applications
Comparison of neural algorithms for blind source separation in sensor array applications
Hierarchical analysis of GSM network performance data
Predicting employee attrition with a more effective use of historical events
Iterative ARIMA-multiple support vector regression models for long term time series prediction
An empirical comparison of generators in replay-based continual learning
Quantifying the Reservoir Quality using Dimensionality Reduction Techniques
A new feature selection scheme using data distribution factor for transactional data
The maximum weighted clique problem and Hopfield networks
Wind Power Prediction with ETSformer
Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series
SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing
Multi-view feature extraction for hyperspectral image classification
Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets
Analysis of visual information by receptive field dynamics
Learning state prediction using a weightless neural explorer
E.O.G. guidance of a weelchair using spiking neural networks
16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23-25, 2008, Proceedings
One-class classification algorithm based on convex hull
Class-aware t-SNE: cat-SNE
Extracting fuzzy rules from "mental" images generated by a modified WISARD perceptron
A neuro-fuzzy approach as medical diagnostic interface
Quantum Artificial Intelligence: A tutorial
Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system
Action-Based ADHD Diagnosis in Video
A first attempt of reservoir pruning for classification problems
Optimal tuning curves for neurons spiking as a Poisson process
Human Activity Recognition from Thigh and Wrist Accelerometry
A distribution-based model of the dynamics of neural networks in the cerebral cortex
Sensitivity analysis for predictive uncertainty
5th Eurorean Symposium on Artificial Neural Networks, ESANN 1997, Bruges, Belgium, April 16-18, 1997, Proceedings
Model Variance for Extreme Learning Machine
A robust hybrid DHMM-MLP modelling of financial crises measured by the WhIMS
General bound of overfitting for MLP regression models
Learning sparse models of diffusive graph signals
Introduction to speech recognition using neural networks
Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations
Mapping without visualizing local default is nonsense
Policy-gradient methods for Decision Trees
From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer
An quantum algorithm for feedforward neural networks tested on existing quantum hardware
Pareto Local Search for MOMDP Planning
Sparse Metric Learning in Prototype-based Classification
Determination of the Mahalanobis matrix using nonparametric noise estimations
Variational auto-encoders with Student's t-prior
Tangent Graph Convolutional Network
Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
A novel principle for causal inference in data with small error variance
Kernel methods for mixed feature selection
Graphs in machine learning. An introduction
A variable projection method for block term decomposition of higher-order tensors
Support vector classifier with asymetric kernel function
Long Short Term Memory Networks for Anomaly Detection in Time Series
Credit analysis with a clustering RAM-based neural classifier
Recurrent least square learning for quasi-parallel principal component analysis
Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts
Sparse Uncertainty-Informed Sampling from Federated Streaming Data
ADLER - An efficient Hessian-based strategy for adaptive learning rate
Equivalent error bars for neural network classifiers trained by Bayesian inference
Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange
Multidimensional CDTW-based features for Parkinson's Disease classification
Hybrid Hidden Markow model / neural network models for speechreading
EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization
Multi-sigmoidal units and neural networks
Process Mining in Non-Stationary Environments
25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017
The synergy between multideme genetic algorithms and fuzzy systems
A Deep Learning approach for oocytes segmentation and analysis
A learning and pruning algorithm for genetic Boolean neural networks
TabSRA: An Attention based Self-Explainable Model for Tabular Learning
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine
Searching optimal feature subset using mutual information
Model Selection for Kernel Probit Regression
To apply score function difference based ICA algorithms to high-dimensional data
Learning with few bits on small-scale devices: From regularization to energy efficiency
Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller
Model Selection for Big Data: Algorithmic Stability and Bag of Little Bootstraps on GPUs
Multi-user Blood Alcohol Content estimation in a realistic simulator using Artificial Neural Networks and Support Vector Machines
Neural predictive coding for speech discriminant feature extraction: The DFE-NPC
Using a feature selection ensemble on DNA microarray datasets
Ensemble neural classifier design for face recognition
A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets
A data visualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network
A new approach for multiple instance learning based on a homogeneity bag operator
Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process
Functional approximation by perceptrons: a new approach
Neuronal theories and technical systems for face recognition
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Filtering participants improves generalization in competitions and benchmarks
Introducing diversity among the models of multi-label classification ensemble
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology