yusuke1997/dblp-id-title huggingface dataset:
Importance of user inputs while using incremental learning to personalize human activity recognition models
Interval coded scoring systems for survival analysis
Sensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors
Time series prediction using neural networks and its application to artificial human walking
Application of a self-learning controller with continuous control signals based on the DOE-approach
Using higher order synapses and nodes to improve sensing capabilities of mobile robots
ASAP - A Sub-sampling Approach for Preserving Topological Structures
Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection
Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks
One-class Autoencoder approach to classify Raman spectra outliers
NAR time-series prediction: a Bayesian framework and an experiment
Bayesian mixture of spatial spline regressions
Perspectives on learning with recurrent neural networks
Inferencing based on unsupervised learning of disentangled representations
Random Projection in supervised non-stationary environments
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction
The Markov Decision Process Extraction Network
Investigating optical transmission error correction using wavelet transforms
Quantum iterative algorithm for image reconstruction problems
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization
Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
On the weight dynamics of recurrent learning
Inductive lateral movement detection in enterprise computer networks
Self-Organizing Maps for cyclic and unbounded graphs
10th Eurorean Symposium on Artificial Neural Networks, ESANN 2002, Bruges, Belgium, April 24-26, 2002, Proceedings
Feature and kernel learning
Deep Semantic Segmentation in Skin Detection
Efficient VLSI Architecture for Spike Sorting Based on Generalized Hebbian Algorithm
Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine
Model Agnostic Local Explanations of Reject
Activity recognition with echo state networks using 3D body joints and objects category
Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm
Enhancing a social science model-building workflow with interactive visualisation
Artificial intelligence techniques for the prediction of bladder cancer progression
Lazy learning for control design
Training Multi-Layer Perceptron with Multi-Objective Optimization and Spherical Weights Representation
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering
Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities
Generalized support vector machines
The Use of ANN for Turbo Engine Applications
Identification of gait patterns with self-organizing maps based on ground reaction force
Sparse differential connectivity graph of scalp EEG for epileptic patients
Hierarchical and multiscale Mean Shift segmentation of population grids
4th European Symposium on Artificial Neural Networks, ESANN 1996, Bruges, Belgium, April 24-26, 1996, Proceedings
Novel Modular Weightless Neural Architectures for Biometrics-based Recognition
A local search method for pattern classification
Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions
Using the Mean Absolute Percentage Error for Regression Models
Attractor neural networks with patchy connectivity
A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises
Combining dissimilarity measures for prototype-based classification
Kernel on Bag of Paths For Measuring Similarity of Shapes
Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets
Image retrieval and ranking through Deep Comparative Neural Networks
Classification of preclinical markers in Alzheimer's disease via WiSARD classifier
A Cyclostationary Neural Network model for the prediction of the NO2 concentration
Convex optimization for the design of learning machines
Perceptron Learning with Discrete Weights
Learning and discrimination through STDP in a top-down modulated associative memory
A neural network architecture for automatic segmentation of fluorescence micrographs
Enhancing Echo State Networks with Gradient-based Explainability Methods
Using a Meta Neural Network for RPROP parameter adaptation
Learning Kernel Parameters for Support Vector Classification Using Similarity Embeddings
Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration
Reinforcement learning and neural reinforcement learning
Selection of important input variables for RBF network using partial derivatives
Reservoir memory machines
Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition
A novel filter algorithm for unsupervised feature selection based on a space filling measure
Dynamic ensemble selection and instantaneous pruning for regression
Lower bounds on the nonnegative rank using a nested polytopes formulation
Extracting rules from DRASiW's "mental images"
Pareto front of bi-objective kernel-based nonnegative matrix factorization
Real time drunkenness analysis in a realistic car simulation
Sparse LS-SVMs with L0 - norm minimization
Classification of computer intrusions using functional networks. A comparative study
On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers
Active one-shot learning with Prototypical Networks
A randomized algorithm for spectral clustering
31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2023, Bruges, Belgium, October 4-6, 2023
Finding clusters using support vector classifiers
Relevance matrices in LVQ
Learning Deep Fair Graph Neural Networks
Extracting Interface Assertions from Neural Networks in Polyhedral Format
Identification of sparse spatio-temporal features in Evoked Response Potentials
The Intrinsic Recurrent Support Vector Machine
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
A Class of Kernels For Sets of Vectors
Application of SVM for cell recognition in BCC skin pathology
Performance of EMI based mine detection using back-propagation neural networks
Prototype-based analysis of GAMA galaxy catalogue data
Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine
Output jitter diverges to infinity, converges to zero or remains constant
Relevance determination in reinforcement learning
Active Learning based on Transfer Learning Techniques for Image Classification
The Conjunctive Disjunctive Node Kernel
A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control
Sparse Kernel Canonical Correlation Analysis
On fields of nonlinear regression models
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier
Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs
Posterior regularization and attribute assessment of under-determined linear mappings
Kohonen maps versus vector quantization for data analysis
Bridging face and sound modalities through domain adaptation metric learning
Deep networks with ReLU activation functions can be smooth statistical models
Extending immediate reinforcement learning on neural networks to multiple actions
Fine-tuning is not (always) overfitting artifacts
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions
Learning associative spatiotemporal features with non-negative sparse coding
The role of feature selection in personalized recommender systems
Variable binding in a neural network using a distributed representation
Support vector machines vs multi-layer perceptrons in particle identification
A competitive approach for human activity recognition on smartphones
Inductive learning for product assortment graph completion
DEEP: decomposition feature enhancement procedure for graphs
Dirichlet process-based component detection in state-space models
Modeling contextualized textual knowledge as a Long-Term Working Memory
A multiplicative updating algorithm for training support vector machine
A lateral contribution learning algorithm for multi MLP architecture
Context- and cost-aware feature selection in ultra-low-power sensor interfaces
Pollen grain recognition using convolutional neural network
Automatic Enhancement of Correspondence Detection in an Object Tracking System
Simulation of a recurrent neurointerface with sparse electrical connections
A Systematic Assessment of Deep Learning Models for Molecule Generation
Cascade learning for FIR-TDNNs
Advances in learning analytics and educational data mining
The Sum-over-Forests clustering
Graph Neural Networks for Propositional Model Counting
Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares
Enhanced unsupervised segmentation of multispectral Magnetic Resonance images
Controlling adaptive quantum-phase estimation with scalable reinforcement learning
Linear Graph Convolutional Networks
sparse Bayesian promoter based gene classification
Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data
Model-Based Reinforcement Learning with Continuous States and Actions
Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns
The partial response SVM
Robust Malware Classification via Deep Graph Networks on Call Graph Topologies
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets
An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons
Adaptive random forests for data stream regression
Efficient derivative-free Kalman filters for online learning
Bootstrap for neural model selection
Performance Evaluation of Activation Functions in Extreme Learning Machine
Leveraging endoscopic data with Contrastive Learning for Crohn's disease detection
Machine Learning with Labeled and Unlabeled Data
Hierarchies of neural networks for connectionist speech recognition
Anticipated synchronization in neuron models
Comparison of local and global undirected graphical models
Grounding the experience of a visual field through sensorimotor contingencies
ChatDT: Simplifying Constraint Integration in Decision Trees
An informational energy LVQ approach for feature ranking
Approximation of functions by Gaussian RBF networks with bouded number of hidden units
Learning and modeling big data
Semi-synthetic Data for Automatic Drone Shadow Detection
Collaborative filtering with neural networks
Embodying Language Models in Robot Action
Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions
Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data
Encoding of sequential translators in discrete-time recurrent neural nets
PCA-based algorithm for feature score measures ensemble construction
WiSARDrp for Change Detection in Video Sequences
Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm
8th European Symposium on Artificial Neural Networks, ESANN 2000, Bruges, Belgium, April 26-28, 2000, Proceedings
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders
Improving a statistical language model by modulating the effects of context words
Towards biologically realistic multi-compartment neuron model emulation in analog VLSI
Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets
Deep Embedded SOM: joint representation learning and self-organization
texture classification based on symbolic data analysis
Error entropy criterion in echo state network training
Fine-tuning of support vector machine parameters using racing algorithms
Physics and Machine Learning: Emerging Paradigms
Graph-Induced Geodesics Approximation for Non-Euclidian K-Means
Sparsely-connected associative memory models with displaced connectivity
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data
Continual Learning for Human State Monitoring
1st European Symposium on Artificial Neural Networks, ESANN 1993, Brussels, Belgium, April 7-9, 1993, Proceedings
Automatic Miscalibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms
Shear strength prediction using dimensional analysis and functional networks
A new rule extraction algorithm based on interval arithmetic
Bias Term b in SVMs Again
7th European Symposium on Artificial Neural Networks, ESANN 1999, Bruges, Belgium, April 21-23, 1999, Proceedings
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
Rule extraction from support vector machines
Multi-class classification in the presence of labelling errors
Federated learning vector quantization for dealing with drift between nodes
Neurotransmitterdynamics in a model of a movement detecting visual system
Self-organizing map for determination of goal candidates in mobile robot exploration
Symbolic computing of LS-SVM based models
An On-line Fisher Discriminant
A Two-Stage Approach for Implicit Bias Detection in Generative Language Models
An Estimation of Response Certainty using Features of Eye-movements
A novel chaotic neural network architecture
Naive Augmenting Q-Learning to Process Feature-Based Representations of States
Fast analog computation in networks of spiking neurons using unreliable synapses
Input Parameters' estimation via neural networks
Visual nonlinear discriminant analysis for classifier design
Separability of analytic postnonlinear blind source separation with bounded sources
Simultaneous failures classification in a predictive maintenance case
Reducing variance due to importance weighting in covariate shift bias correction
Rank-based quality assessment of nonlinear dimensionality reduction
Recursive networks for processing graphs with labelled edges
Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search Algorithms
Comparison of cluster validation indices with missing data
Self-learning assembly systems during ramp-up
A GPU-accelerated algorithm for self-organizing maps in a distributed environment
Comparative study of the synfire chain and ring attractor model for timing in the premotor nucleus in male Zebra Finches
Topological interpolation in SOM by affine transformations
Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels
An analysis of Gaussian-binary restricted Boltzmann machines for natural images
Recursive Least Squares for an Entropy Regularized MSE Cost Function
Neural Network Performances in Astronomical Image Processing
Reinforcement Learning for High-Frequency Market Making
Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron
A fuzzy Artmap neural system for the prediction of turbulent velocity fields
Multilingual short text categorization using convolutional neural network
Committees as Artificial Organisms - Evolution and Adaptation
Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
Incremental learning with deep neural networks using a test-time oracle
Indoor air pollutant sources using Blind Source Separation Methods
The impact of axon wiring costs on small neuronal networks
How can the human visual system process a natural scene in under 150ms? Experiments and neural network models
Surprisal-based activation in recurrent neural networks
Memory management for data streams subject to concept drift
Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors
A constraint-based approach to incorporate prior knowledge in causal models
Composition methods for the integration of dynamical neural networks
Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation
A multistage on-line learning rule for multilayer neural network
Dimensionality reduction by local processing
Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS
Spicules-based competitive neural network
Parameter-free regularization in Extreme Learning Machines with affinity matrices
Recent trends in computational intelligence in life sciences
Continual Learning with Echo State Networks
Error measure for identifying chaotic attractors
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks
Clustering functional data with the SOM algorithm
Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets
Online tracking of multiple objects using WiSARD
Machine learning and data analysis in astroinformatics
Associative morphological memories for spectral unmixing
PCA improves the adversarial robustness of neural networks
Embedding Proximal Support Vectors into Randomized Trees
Embeddings and Representation Learning for Structured Data
On the Fine Structure of Drifting Features
A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses
Systematicity in sentence processing with a recursive self-organizing neural network
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
Bayesian online learning in the perceptron
Assessment of feature saliency of MLP using analytic sensitivity
Enhanced learning for agents in quantum-accessible environments
Time Experiencing by Robotic Agents
Language Modeling in Logistics: Customer Calling Prediction
Perspectives on dedicated hardware implementations
Differentially Private Time Series Generation
Comparison between linear discrimination analysis and support vector machine for detection of pesticide on spinach leaf by hyperspectral imaging with excitation-emission matrix
Improved the locally aligned ant technique (LAAT) strategy to recover manifolds embedded in strong noise
Object Recognition with Banana Wavelets
On industrial acceptance of neuro-fuzzy systems
Non-linear gating network for the large scale classification model CombNET-II
Analysis of critical effects in a stochastic neural model
Language Grounded Task-Adaptation in Reinforcement Learning
Oscillation in a network model of neocortex
Rejection strategies for learning vector quantization
RecLVQ: Recurrent Learning Vector Quantization
Improving Zorro Explanations for Sparse Observations with Dense Proxy Data
User-steering interpretable visualization with probabilistic principal components analysis
NLDR methods for high dimensional NIRS dataset : application to vineyard soils characterization
The minimum effort maximum output principle applied to Multiple Kernel Learning
Approximating Archetypal Analysis Using Quantum Annealing
Combining multi-layer perceptrons in classification problems
RNN Based Batch Mode Active Learning Framework
Knowledge extraction from neural networks for signal interpretation
An adaptive technique for pattern recognition by the random neural network
Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms
A computational framework for exploratory data analysis
Regularization in oculomotor control
Safe exploration for reinforcement learning
Road Singularities Detection and Classification
End-to-end Keyword Spotting using Xception-1d
Parametric approach to blind deconvolution of nonlinear channels
The Choquet kernel for monotone data
Beyond Homophily with Graph Echo State Networks
The LVQ-based Counter Propagation Network - an Interpretable Information Bottleneck Approach
Statistical dependence measure for feature selection in microarray datasets
Self-Organization by Optimizing Free-Energy
Border sensitive fuzzy vector quantization in semi-supervised learning
Latent variable analysis in hospital electric power demand using non-negative matrix factorization
Application of Newton's Method to action selection in continuous state- and action-space reinforcement learning
Deep Learning for Graphs
Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence
TreeESN: a Preliminary Experimental Analysis
Comparison of Four- and Six-Layered Configurations for Deep Network Pretraining
On-line support vector machines and optimization strategies
Supervised learning to tune simulated annealing for in silico protein structure prediction
Visualizing the quality of dimensionality reduction
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety
Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface
Self-Organisation in the SOM with a finite number of possible inputs
Comparison of three algorithms for parametric change-point detection
Learning matrix quantization and variants of relevance learning
Complex Data: Learning Trustworthily, Automatically, and with Guarantees
Stability analysis of diagonal recurrent neural networks
Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning
Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks
Synchronizing chaotic neuromodules
IF: Iterative Fractional Optimization
Non-Euclidean metrics for similarity search in noisy datasets
A Neural Filter for Electrolocation in Weakly Electric Fish
Nonlinear prediction of spatio-temporal time series
Nearest Neighbor Distributions and Noise Variance Estimation
Source separation with priors on the power spectrum of the sources
Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers
Perplexity-free t-SNE and twice Student tt-SNE
A mental problem for the solution of the direct and inverse kinematic problem
Estimating the Number of Components in a Mixture of Multilayer Perceptrons
Adversarial domain adaptation without gradient reversal layer
Neural learning of approximate simple regular languages
Compact Neural Architecture Search for Local Climate Zones Classification
An emphasized target smoothing procedure to improve MLP classifiers performance
Lamarckian training of feedforward neural networks
On the function of the retinal bipolar cell in early vision
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
Scalable Hybrid Deep Neural Kernel Networks
Estimating Individual Treatment Effects through Causal Populations Identification
Learning visuo-motor coordination for pointing without depth calculation
WiSARD-based Ensemble Learning
Supervised dimensionality reduction technique accounting for soft classes
VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications
Tensor Decompositions in Deep Learning
Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm
Invited paper: Supervised classification: a probabilistic approach
Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning
ROP inception: signal estimation with quadratic random sketching
Joint Regression and Linear Combination of Time Series for Optimal Prediction
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
Neural coding model using the morphoelectrotonic transform theory
Data domain description using support vectors
An integrated neural IR system
Learning causality by identifying common effects with kernel-based dependence measures