yusuke1997/dblp-id-title huggingface dataset:
Gaussian process modelling of multiple short time series
Bifurcation analysis for a discrete-time Hopfield neural network of two neurons with two delays
Invariant representations of images for better learning
Evolino for recurrent support vector machines
Learning principal components in a contextual space
A neuro-symbolic approach to GPS trajectory classification
New Results on Sparse Autoencoders for Posture Classification and Segmentation
Incremental hierarchical indexing and visualisation of large image collections
Efficient cross-validation of kernel fisher discriminant classifiers
Consistency of Derivative Based Functional Classifiers on Sampled Data
Characterization of the absolutely expedient learning algorithms for stochastic automata in a non-discrete space of actions
Efficient formation of a basis in a kernel induced feature space
Fast in-memory spectral clustering using a fixed-size approach
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network
Learning what is important: feature selection and rule extraction in a virtual course
Time series input selection using multiple kernel learning
Explorations in Quantum Neural Networks with Intermediate Measurements
Mathematical Aspects of Neural Networks
Fast calibration of hand movements-based interface for arm exoskeleton control
Combining sigmoids and radial basis functions in evolutive neural architectures
Sun Tracking using a Weightless Q-Learning Neural Network
Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines
Non-Euclidean norms and data normalisation
Utilization of Chemical Structure Information for Analysis of Spectra Composites
Structural feature selection for wrapper methods
Optimal transfer function neural networks
A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy
Modelling switching dynamics using prediction experts operating on distinct wavelet scales
ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery
Support vector machines for multi-class pattern recognition
Tensor factorization to extract patterns in multimodal EEG data
A new training algorithm for feedforward neural networks
Perceptual grouping through competition in coupled oscillator networks
Forecasting time-series by Kohonen classification
Human-centered machine learning through interactive visualization: review and open challenges
A quotient basis kernel for the prediction of mortality in severe sepsis patients
Neural networks which identify composite factors
Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology
Sleep staging with deep learning: a convolutional model
Exploiting similarity in system identification tasks with recurrent neural networks
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras
Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation
Locally Adaptive Nearest Neighbors
Self-organizing maps and functional networks for local dynamic modeling
A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria
Online Learning with Operator-valued Kernels
Evolving neural network learning behaviours with set-based chromosomes
Linear kernel combination using boosting
Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values
Learning objects from RGB-D sensors using point cloud-based neural networks
Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path
Modelling of parameterized processes via regression in the model space
Boosting face recognition via neural Super-Resolution
Towards Robust Auxiliary Tasks for Language Adaptation
Why long model-based rollouts are no reason for bad Q-value estimates
Mean-field equations reveal synchronization in a 2-populations neural network model
Growing adaptive neural networks with graph grammars
Finding structure in text archives
On-edge adaptive acoustic models: an application to acoustic person presence detection
Federated Time Series Classification with ROCKET features
Advantages and drawbacks of the Batch Kohonen algorithm
Reconciling neural fields to self-organization
Handling missing data in recurrent neural networks for air quality forecasting
Segmented shape-symbolic time series representation
Numerical simulations of an optimal algorithm for supervised learning
Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture
Coding the outputs of multilayer feedforward
Deep RL for autonomous robots: limitations and safety challenges
A lateral inhibition neural network that emulates a winner-takes-all algorithm
Consensus clustering by graph based approach
Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis
PSCEG: an unbiased parallel subspace clustering algorithm using exact grids
Morphological memories for feature extraction in hyperspectral images
Speaker verification by means of ANNs
Adversarial Auditing of Machine Learning Models under Compound Shift
Representation of obstacles in a neural network based classifier system
Data stream generation through real concept's interpolation
On the critical points of the 1-dimensional competitive learning vector quantization algorithm
Sensors selection for P300 speller brain computer interface
Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices
Implementation and coupling of dynamic neurons through optoelectronics
Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms
Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data
Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes
Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification
On related violating pairs for working set selection in SMO algorithms
A Protocol for Continual Explanation of SHAP
Transfer learning to minimize the predictive risk in clinical research
A Baseline for Shapley Values in MLPs: from Missingness to Neutrality
A multiple testing procedure for input variable selection in neural networks
Transfer Learning for transferring machine-learning based models among hyperspectral sensors
Non-linear Canonical Correlation Analysis using a RBF networks
Principal component analysis for unsupervised calibration of bio-inspired airflow array sensors
Data Analytics for Drilling Operational States Classifications
Visualizing dependencies of spectral features using mutual information
Inferring the causal decomposition under the presence of deterministic relations
Recurrent Restricted Kernel Machines for Time-series Forecasting
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Neural networks for data mining: constrains and open problems
A structural genetic algorithm to optimize High Order Neural Network architecture
L1-norm double backpropagation adversarial defense
Free-energy-based reinforcement learning in a partially observable environment
Supervised quantum gate "teaching" for quantum hardware design
Richness of Node Embeddings in Graph Echo State Networks
Stability assessment of electric power systems using growing neural gas and self-organizing maps
Application of deep neural networks for automatic planning in radiation oncology treatments
Effects of sparseness and randomness of pairwise distance matrix on t-SNE results
A Similarity Function with Local Feature Weighting for Structured Data
modularity-based clustering for network-constrained trajectories
Improving the Union Bound: a Distribution Dependent Approach
Biologically-inspired human motion detection
Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
A brief introduction to Weightless Neural Systems
Self-organisation, metastable states and the ODE method in the Kohonen neural network
Finding Originally Mislabels with MD-ELM
Link prediction heuristics for temporal graph benchmark
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
An affinity matrix approach for structure selection of extreme learning machines
Graph-based normalization
Enhancing Evolution Strategies with Evolution Path Bias
Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning
Degeneracy in model selection for SVMs with radial Gaussian kernel
Adaptive anisotropic denoising: a bootstrapped procedure
Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction
Acceptability conditions for BSS problems
Algebraic multigrid support vector machines
A new metric for dissimilarity data classification based on Support Vector Machines optimization
Quantile regression with multilayer perceptrons
I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem
Direct and inverse solution for a stimulus adaptation problem using SVR
On threshold circuit depth
Object-centered Fourier Motion Estimation and Segment-Transformation Prediction
Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach
Random Brains: An ensemble method for feature selection with neural networks
Highly sparse kernel spectral clustering with predictive out-of-sample extensions
A comprehensive introduction to label noise
A hybrid system for fraud detection in mobile communications
Architectures for Nanoelectronic Neural Networks: New Results
A neural network for undercomplete independent component analysis
clustering with decision trees: divisive and agglomerative approach
Feature selection for ANNs using genetic algorithms in condition monitoring
Introduction to Computational Intelligence Business Applications
Robust clustering of high-dimensional data
Deep Semantic Segmentation Models in Computer Vision
extended visualization method for classification trees
Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks
Hybrid Soft Computing for PVT Properties Prediction
Dynamic Neural Clustering
Nonlinear PCA: a new hierarchical approach
On Feature Selection Using Anisotropic General Regression Neural Network
Generalisation of action sequences in RNNPB networks with mirror properties
enhanced emotion recognition by feature selection to animate a talking head
Learning control under uncertainty: A probabilistic Value-Iteration approach
Exponential stability of implicit Euler, discrete-time Hopfield neural networks
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020
Quantum-Inspired Learning Vector Quantization for Classification Learning
A kernel based adaline
A competitive learning algorithm for separating binary sources
Using SVMs with randomised feature spaces: an extreme learning approach
Deep Learning Model for Context-Dependent Survival Analysis
From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics
Kernel methods and the exponential family
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Visualizing the learning process for neural networks
A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD
Fast Power system security analysis with Guided Dropout
Battery detection of XRay images using transfer learning
The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification
Effects of noise-reduction on neural function approximation
A neural network for the identification of the dynamic behaviour of a wheelchair
Equivalence of a radial basis function NN and a perceptron
An incremental local radial basis function network
Learning sensory-motor cortical mappings without training
Enhanced maxcut clustering with multivalued neural networks and functional annealing
Visual self-localization with morphological neural networks
24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016
The Exploration Machine - a novel method for structure-preserving dimensionality reduction
Automatically searching near-optimal artificial neural networks
An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
NLq theory: unifications in the theory of neural networks, systems and control
Exploratory Correlation Analysis
FlexNet - A flexible neural network construction algorithm
Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem
Credal decision trees in noisy domains
Extending a two-variable mean to a multi-variable mean
Temperature as a Regularizer for Semantic Segmentation
Incremental feature building and classification for image segmentation
Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach
A general framework for unsupervised processing of structured data
Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings
Compressive Learning of Generative Networks
ICA-based High Frequency VaR for Risk Management
Efficient online learning of a non-negative sparse autoencoder
Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling
Noise Robust One-Class Intrusion Detection on Dynamic Graphs
A stop criterion for the Boltzmann machine learning algorithm
Radial basis functions in the Fourier domain
Ultrasound medical image processing using cellular neural networks
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
Region of interest detection using MLP
Modular Length Control for Sentence Generation
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis
Learning to classify a collection of images and texts
Supervised Manifold Learning with Incremental Stochastic Embeddings
An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems
Discovering temporally extended features for reinforcement learning in domains with delayed causalities
learning task relatedness via dirichlet process priors for linear regression models
Anomaly detection and characterization in smart card logs using NMF and Tweets
Activity-dependent neurite outgrowth in a simple network model including excitation and inhibition
Pyramidal Graph Echo State Networks
Extended model of conditioned learning within latent inhibition
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures
Forbidden Magnification? I
RNN-based Learning of Compact Maps for Efficient Robot Localization
An empirical analysis of reinforcement learning using design of experiments
On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity
Clustering of Self-Organizing Map
A generative model that learns Betti numbers from a data set
Self-organizing context learning
Neural Hardware: beyond ones and zeros
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients
Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?
Hybrid HMM and HCRF model for sequence classification
Informative data projections: a framework and two examples
Reactive Soft Prototype Computing for frequent reoccurring Concept Drift
Neural network for color contrast gain control
Efficient decomposition of comparison and its applications
Growing Hierarchical Sectors on Sectors
Training activation function in parametric classification
A neural model for binocular vergence control without explicit calculation of disparity
Optimization of Parametrized Divergences in Fuzzy c-Means
26th European Symposium on Artificial Neural Networks, ESANN 2018, Bruges, Belgium, April 25-27, 2018
Myoelectrical signal classification based on S transform and two-directional 2DPCA
Multi-omics data integration using cross-modal neural networks
An estimation model of pupil size for 'Blink Artifact' and it's applications
Assessment of diabetic retinopathy risk with random forests
Locally Linear Embedding versus Isotop
Multispectral Texture Classification in Agriculture
Development of a French speech recognizer using a hybrid HMM/MLP system
Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks
QL2, a simple reinforcement learning scheme for two-player zero-sum Markov games
G-Rap: interactive text synthesis using recurrent neural network suggestions
Word recognition and incremental learning based on neural associative memories and hidden Markov models
The hypersphere neuron
Learning to play Tetris applying reinforcement learning methods
Real neurons in real networks
Dynamic clustering and modeling of temporal data subject to common regressive effects
From regression to classification in support vector machines
Hybrid hierarchical clustering: cluster assessment via cluster validation indices
Self-organising map for large scale processes monitoring
Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising
Geometric Probing of Word Vectors
A robust biologically plausible implementation of ICA-like learning
linear algebra for time series of spikes
Different criteria for active learning in neural networks: a comparative study
Self-organization and convergence of the one-dimensional Kohonen algorithm
On-off intermittency in small neural networks with synaptic noise
Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems
Set point thresholds from topological data analysis and an outlier detector
Normalized cuts clustering with prior knowledge and a pre-clustering stage
Frequency-Dependent Peak-Over-Threshold algorithm for fault detection in the spectral domain
Estimating probabilities for unbounded categorization problems
Constructing ensembles of classifiers using linear projections based on misclassified instances
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
Lifelong Learning from Event-based Data
On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines
B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier
Weighted Clustering of Sparse Educational Data
Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation
Learning reconstruction and prediction of natural stimuli by a population of spiking neurons
Data complexity measures for analyzing the effect of SMOTE over microarrays
Using self-organizing maps for regression: the importance of the output function
Cultures of dissociated neurons display a variety of avalanche behaviours
Functional Gradient Descent for n-Tuple Regression
Functional elements and networks in fMRI
Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series
An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and prediction
Learning vector quantization for heterogeneous structured data
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms
Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients
A best-first branch-and-bound search for solving the transductive inference problem using support vector machines
X-SOM and L-SOM: a nested approach for missing value imputation
ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering
Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology
Learning with Boosting Decision Stumps for Feature Selection in Evolving Data Streams
Neural network cooperation for handwritten digit recognition: a comparison of four methods
Quantization vs Organization in the Kohonen S.O.M
Using generic neural networks in the control and prediction of grasp postures
Learning compressed representations of blood samples time series with missing data
Challenges in anomaly and change point detection
An artificial neural network for analysing the survival of patients with colorectal cancer
Structure optimization for deep multimodal fusion networks using graph-induced kernels
Optimal transport for semi-supervised domain adaptation
Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality
Synaptic efficiency modulations for context integration: The meta ODWE architecture
Undershooting: modeling dynamical systems by time grid refinements
Byte The Bullet: Learning on Real-World Computing Architectures
Learning Vector Quantization in Context of Information Bottleneck Theory
Statistical mechanics of support vector machine
Decoding finger flexion using amplitude modulation from band-specific ECoG
Vector Field Based Neural Networks
A weakly supervised approach to skin lesion segmentation
Reinforcement learning for constructing low density sign representations of Boolean functions
Criticality in Biocomputation
Computational model of amygdala network supported by neurobiological data
Automatic Group-Outlier Detection
Language processing in the era of deep learning
Explaining classification systems using sparse dictionaries
On global self-organizing maps
Invariant Integration in Deep Convolutional Feature Space
Establishing retinotopy by lateral-inhibition type homogeneous neural fields
Invariant feature maps for analysis of orientations in image data
Cluster homogeneity as a semi-supervised principle for feature selection using mutual information
SpikeProp: backpropagation for networks of spiking neurons
Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation
Prior knowledge in an end-user trainable machine vision framework
An FPGA-based model suitable for evolution and development of spiking neural networks
Mathematical Foundations of the Self Organized Neighbor Embedding (SONE) for Dimension Reduction and Visualization
Topological Correlation
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning
Fuzzy image segmentation with Fuzzy Labelled Neural Gas
Non-markovian process modelling with Echo State Networks
Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach
NNBMSS: a Novel and Fast Method for Model Structure Selection
Converting SVDD scores into probability estimates
Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts
Balancing of neural contributions for multi-modal hidden state association
Exact asymptotic estimates of the storage capacities of the committee machines with overlapping and non-overlapping receptive fields