yusuke1997/dblp-id-title huggingface dataset:
Adaline-based estimation of power harmonics
Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions
Performance assessment of quantum clustering in non-spherical data distributions
Tackling the stability/plasticity dilemma with double loop dynamic systems
Image completion via nonnegative matrix factorization using B-splines
Similarity networks for heterogeneous data
Similarity versus Supervision: Best Approaches for HS Code Prediction
Vector space weightless neural networks
A new Meta Machine Learning (MML) method based on combining non-significant different neural networks
Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks
Forward feature selection using Residual Mutual Information
Learning in indefinite proximity spaces - recent trends
Two or three things that we (intend to) know about Hopfield and Tank networks
FPGA-based enhanced probabilistic convergent weightless Network for human Iris recognition
Contextual priming for artificial visual perception
Modelling biological learning from its generalization capacity
Sparse K-means for mixed data via group-sparse clustering
Adaptive learning for complex-valued data
Memory, learning and neuromediators
Don't waste SAM
XOR and backpropagation learning: in and out of the chaos?
Study on the loss of information caused by the "positivation" of graph kernels for 3D shapes
Approximation of continuous functions by RBF and KBF networks
Instabilities in self-organized feature maps with short neighbourhood range
One-vs-all binarization technique in the context of random forest
Non-negative decomposition of geophysical dynamics
Percolation model of axon guidance
Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification
Bayesian semi non-negative matrix factorisation
AI-based algorithm for intrusion detection on a real dataset
Deep learning for graphs
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
time series modelling of market price in real-time bidding
Detection of cluster in Self-Organizing Maps for controlling a prostheses using nerve signals
On-line adaptation of neuro-prostheses with neuronal evaluation signals
Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface
Training a classical weightless neural network in a quantum computer
Sparse Nonparametric Topic Model for Transfer Learning
Novel Algorithm for Eliminating Folding Effect in Standard SOM
Distributed learning via Diffusion adaptation with application to ensemble learning
Synergies between Evolutionary and Neural Computation
Negatively Correlated Echo State Networks
Randomized Recurrent Neural Networks
Variational MIxture of Normalizing Flows
Locating Anomalies Using Bayesian Factorizations and Masks
Machine learning in research and development of new vaccines products: opportunities and challenges
Modified backward feature selection by cross validation
Nonlinear, statistical data-analysis for the optimal construction of neural-network inputs with the concept of a mutual information
Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain
Deep Learning Approaches for mice glomeruli segmentation
Enhanced unit training for piecewise linear seperation incremental algorithms
Instance and feature weighted k-nearest-neighbors algorithm
Energy-efficient detection of a spike sequence
The use of RBF neural network to predict building's corners hygrothermal behavior
High-order Boltzmann machines applied to the Monk's problems
What does a neuron talk about?
One-to-many mappings represented on feed-forward networks
Fast Deep Neural Networks Convergence using a Weightless Neural Model
Penalized least squares, model selection, convex hull classes and neural nets
A neural network approach of ultra-wideband nearfield adaptive beamforming
Self-organization of a Kohonen network with quantized weights and a arbitrary one-dimensional stimuli distribution
Multiple Layer Perceptron training using genetic algorithms
Supporting generative models of spatial behavior by user interaction
Real-time Convolutional Neural Networks for emotion and gender classification
Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis
Semi-Supervised Vector Quantization for proximity data
Transition from initialization to working stage in biologically realistic networks
Using the Delta Test for Variable Selection
Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE
SOM based clustering with instance-level constraints
Can you follow that guy?
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
Degrees of Freedom in Regression Ensembles
Systematics aware learning : a case study in high energy physics
Dynamic fairness - Breaking vicious cycles in automatic decision making
Efficient unsupervised clustering for spatial birds population analysis along the river Loire
Batch-RLVQ
A non linear Kohonen algorithm
Modified Conn-Index for the evaluation of fuzzy clusterings
Reservoir Computing by Discretizing ODEs
Sustained and transient amacrine cell circuits underlying the receptive fields of ganglion cells in the vertebrate retina
A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines
SDOstream: Low-Density Models for Streaming Outlier Detection
Validating static call graph-based malware signatures using community detection methods
A topological transformation for hidden recursive modelsarchitecture networks
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models
State reconstruction of piecewise linear maps using a clustering machine
Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis
Trust in Artificial Intelligence: Beyond Interpretability
Neuro-predictive control based self-tuning of PID controllers
Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM
Probabilistic Fisher discriminant analysis
Visual Data Mining and Machine Learning
Modelling the McGurk effect
Spatial-Temporal artificial neurons applied to online cursive handwritten recognition
Neural network application: rainfall forecasting system in Hong Kong
Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis
Chasing the Echo State Property
An algorithm for the addition of time-delayed connections to recurrent neural networks
Improvement of EEG classification with a subject-specific feature selection
Understanding wafer patterns in semiconductor production with variational auto-encoders
Sequential hypotheses tests for modelling neural networks
SO-VAT: Self-Organizing Visual Assessment of cluster Tendency for large data sets
Deep learning for Parkinson's disease symptom detection and severity evaluation using accelerometer signal
Estimation of tangent planes for neighborhood graph correction
Reducing connectivity by using cortical modular bands
Relevance learning for time series inspection
A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weights
Multilayer perceptron to model the decarburization process in stainless steel production
Trends and Challenges for Sign Language Recognition with Machine Learning
Developmental pruning of synapses and category learning
Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation
Detecting Ghostwriters in High Schools
Heterogeneity enhanced order in a chaotic neural network
Local input-output stability of recurrent networks with time-varying weights
intrinsic plasticity via natural gradient descent
On Learning a Control System without Continuous Feedback
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection
A microelectronic implementation of a bioinspired analog matrix for object segmentation of a visual scene
Adversarial robustness of linear models: regularization and dimensionality
Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm
AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context
Similarity-Based Zero-Shot Domain Adaptation for Wearables
Structured reservoir computing with spatiotemporal chaotic attractors
Machine learning approches and pattern recognition for spectral data
Using sampling methods to improve binding site predictions
Abstract category learning
Blind equalization with a linear feedforward neural network
A Gaussian process latent variable model formulation of canonical correlation analysis
Unpaired Image-to-Image Translation to Improve Log End Identification
1-v-1 Tri-Class SV Machine
Developmental Modular Reinforcement Learning
Machine learning and data mining for urban mobility intelligence
A brief tutorial on reinforcement learning: The game of Chung Toi
Causality and communities in neural networks
Intrinsic plasticity for reservoir learning algorithms
Improving BAS committee performance with a semi-supervised approach
Feature selection for high-dimensional industrial data
Approximation of chemical reaction rates in turbulent combustion simulation
Noise helps optimization escape from saddle points in the neural dynamics
Sliced-Wasserstein normalizing flows: beyond maximum likelihood training
Several ways to solve the MSO problem
20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012
Decoding functions for Kohonen maps
A document detection technique using convolutional neural networks for optical character recognition systems
Taking inspiration from the Hippocampus can help solving robotics problems
Influence of weight-decay training in input selection methods
Machine Learning Methods for BCI: challenges, pitfalls and promises
Stability bounds of momentum coefficient and learning rate in backpropagation algorithm
Evolutionary Composition of Customized Fault Localization Heuristics
Towards the application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets
Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features
Lightning fast asynchronous distributed k-means clustering
Sparse Bayesian kernel logistic regression
Towards Deep Continual Workspace Monitoring: Performance Evaluation of CL Strategies for Object Detection in Working Sites
Spikes as regularizers
On unlearnable problems -or- A model for premature saturation in backpropagation learning
Support vectors machines regression for estimation of mars surface physical properties
Predicting Test Execution Times with Asymmetric Random Forests
Training of multiple classifier systems utilizing partially labeled sequential data sets
Learning features on tear film lipid layer classification
Neural network-based calibration of positron emission tomograph detector modules
Quaternionic spinor MLP
Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks
Fast Support Vector Clustering
Uncertain photometric redshifts via combining deep convolutional and mixture density networks
Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture
Classification of Bioacoustic Time Series by Training a Decision Fusion mapping
Feature Selection for Footwear Shape Estimation
Fast nonlinear dimensionality reduction with topology representing networks
A comparison between weighted radial basis functions and wavelet networks
Deep Learning to Detect Bacterial Colonies for the Production of Vaccines
Stability and bifurcation in an autoassociative memory model
Evolutionary Deep Multi-Task Learning
Nonlinear dynamics in neural computation
Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network
An Extreme Learning Approach to Active Learning
Visualization and classification with categorical topological map
Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration
A Public Domain Dataset for Human Activity Recognition using Smartphones
A bag of nodes primer on weightless graph classification
Automatic Trade-off Adaptation in Offline RL
Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments
Fast bootstrap for least-square support vector machines
State-space modeling using self-organizing maps
Analysis of DNA methylation patterns in cancer samples using SOM
Neural Networks for Implicit Feedback Datasets
Consensus in networks of integrators with unknown nonlinear couplings and communication delays
10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, ALCOSP 2010, Istanbul, Turkey, August 26-28, 2010
Identification of local model networks parameters using fuzzy clustering
Adaptive Systems with Closed-Loop Reference Models: Composite Control and Observer Feedback
PMSG Sensorless Control with the Derivative-Free Nonlinear Kalman Filter for Distributed Generation Units
The Combined Effect of Missile IMU Shift, Model Following and Add-On SAC on the Autopilot Response
Closed-loop identification based on MIMO feedback error learning
Double Optimization of Fuel Consumption and Speed Tracking
Optimization of Model Reference Adaptive System Based Speed Estimation for Speed-Sensorless Control of Induction Motors Via Differential Evolution Algorithm
An improved adaptive control algorithm based upon unfalsified control
Speed-gradient adaptive high-gain observers for synchronization of chaotic systems
Bounded adaptive stabilization
Stability in the pseudo-state formalism of discrete systems controlled in the presence of intermittent sensor faults
A Direct PID Gain Tuning Based on FRIT Method Using Optimal Filter in the Frequency Domain
Iterative Learning Control for SO(2) Symmetric Systems
Simplified adaptive control with guaranteed H∞ performance
Nonsmooth structured control design
Adaptive Control of Scalar Plants in the Presence of Unmodeled Dynamics
Adaptive control of a continuous stirred tank reactor by two feedback controllers
On Speed Estimation of Permanent Magnet Synchronous Motor Using Adaptive Robust Position Observer and Differentiator
The New Algorithm of Sinusoidal Signal Frequency Estimation
A Kohonen Neural Network Based Method for PWARX Identification
Model Reduction of Linear Systems with Random Parameters
An identification by adapting the fictitious controller to data
Randomized Gossip Algorithms for Achieving Consensus on the Majority Vote
Robustness of discrete-time and sampled-data adaptive control
Identification of Advection-Diffusion Equation from a Limited Number of Spatial Locations
Model-based Kalman filtering approaches for frequency tracking
Sliding Mode with Tuning Surface in Problem of Synchronization of Two-Pendulum System Motion
Randomized Algorithm for UAVs Group Flight Optimization
Kalman Filter for Process Noise Free Systems
MIMO adaptive output feedback sliding mode control with parallel feedforward compensator for linear
Application of Echo-State Networks to the Position Control of Shape-Memory Alloys
Passivity-Based PFC for Interleaved Boost Converter of PMSM Drives
Non-myopic innovations dual controller
Uniform Asymptotic Stability and Slow Convergence in Adaptive Systems
Synthesis of robust discrete-time systems based on comparison with stochastic model
Stability and Stabilization of Nonlinear 2D Markovian Jump Systems with Applications
Constructing stable recursive schemes for estimating parameters of stochastic systems
Longitudinal Modeling and Preliminary Control of a Non-Linear Flexible Launch Vehicle
Nonlinear Controller for Doubly Fed Induction Motor with Bi-Directional AC/DC/AC Converter
What Can Regularization Offer for Estimation of Dynamical Systems?
Super Twisting Based Step-By-Step Observer for a DC Series Motor
Constructing Signals with Prescribed Mean Anisotropy Level
Empirical Recovery of Input Nonlinearity in Distributed Element Models
Decentralized model reference adaptive precize control of complex objects
Structured Adaptive Control for Solving LMIs
Towards applied nonlinear adaptive control
Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde
Model-Free Controller Parameter Tuning Via Particle Filtering
Performance-Driven Adaptive Control System Design with a PFC Designed by System's Input/Output Data
Improving the intersample behavior by using a multiestimation scheme with multirate sampling
Simple Adaptive Control: The Optimal Model Reference - Short Tutorial
Similarity Improvement Using Angular Deviation in Multimodel Nonlinear System Identification
An on-line rule weighting mechanism based on normalized acceleration for fuzzy PID controllers
Remote process control using MATLAB
Fictitious Reference Iterative Tuning of Disturbance Observers for Attenuation of the Effect of Periodic Unknown Exogenous Signals
FRIT with dead-zone compensation and its application to ultrasonic motors
Optimization of Decentralized Task Assignment for Heterogeneous UAVs
Determination of the minimax risk for the normal two-armed bandit
A Robust Strictly Passive Output-Error Identifier for Continuous-Time Systems
Adaptive fuzzy weighted template matching using invariant features for a tracking application
Adaptive output control of linear time-varying systems
Pipeline Partial Blockage Modeling and Identification
Induction machine control in presence of magnetic hysteresis modelling and speed reference tracking
Adaptive model tracking with mitigated passivity conditions
Guidance, onboard signal processing and robust control of agile flexible remote sensing spacecraft
Surface Electrode Array Based Control of the Wrist and Hand
11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013, Caen, France, July 3-5, 2013
A two-level optimization based learning control strategy for wet clutches
Noise covariances estimation for Kalman filter tuning
Robust decentralized control with scalar output of multivariable structurally uncertain plants with state delay
LMI conditions for robust adaptive control of MIMO LTI systems
The Proportional Derivative Indirect Adaptive Control
A multi-step Q(λ) learning approach to power system stabilizer
Hybrid observer for multi-frequency signals
Backstepping Adaptive Control of Quarter-Vehicle Semi-Active Suspension with Dahl MR Damper Model
Adaptive semi-active control of suspension system with MR damper
An FRIT method for disturbance attenuation using input-output data for disturbance responses
Refined Instrumental Variable Identification of Continuous-Time OE and BJ Models from Irregularly Sampled Data
Variable sampling rate in networked control systems
Neural network augmentation of attitude estimation using navigation satellite signal phase
On-Line Estimation of the Temperature Dependent Parameters of Photovoltaic Generators
Output Feedback Control of a Class of Integrator Nonlinear Systems in Presence of Actuator Saturation
SMDO-based NGPC control for uncertain nonlinear systems
Multiestimation scheme for adaptive control of three tank system
An Indirect Adaptive Scheme for Attenuation of Multiple Narrow-Band Disturbances: Stability Analysis
The comparison of the Monte-Carlo method and neural networks algorithms in nonlinear estimation prob
A design of a FRIT based nonlinear PID controller
Ring-Coupled Chaotic Generator for Coherent and Non-Coherent Detection
Neural networks for parameter identification of servo-drives of the flying device
Fast Compensation of Unknown Multiharmonic Disturbance for Nonlinear Plant with Input Delay
Cooperative decision making without facilitator
Real-time visual servoing control of a four-rotor rotorcraft
A robust MRAC modification and performance improvement in the presence of uncertainties
Learning a controller for a coupled drives apparatus using VRFT strategy
Decentralized adaptive controller for sychronization of nonlinear dynamical heterogeneous networks
Adaptive output feedback control of Bouc-Wen hysteretic systems
Feedforward Learning Control by Scheduled Locally Weighted Regression
Data-Driven Bandwidth Choice for Gamma Kernel Estimates of Density Derivatives on the Positive Semi-Axis
PDES Level Set on Weighted Graphs and Applications for Images, Manifold and Point Clouds Processing
Iterative Update of the Pole Locations in a Wiener-Schetzen Model
The minimax posterior Wonham filtering/identification
Bias-compensated adaptive observer for a continuous-time model estimation
H∞ Predictive Control Design for Discrete-Time Networked Control Systems
Bias compensated state space identification method in closed loop environment
Rejection of Multiharmonic Disturbance Approach Based on Simple Adaptive Control Principle
On optimal control under program disturbances
Equivalence-motivated non-linear recursive estimation
Adaptive H-Infinity Consensus Control of Multi-Agent Systems
Sensorless Position Control for Surface Permanent Magnet Synchronous Motors at Zero Speed and Acceleration
Bayesian Test for Multiple Hypothesis Testing Problem with Quadratic Loss
Neurodynamic Programming Approach for the PID Controller Adaptation
Output adaptive control for plants using time delay
Discrete-time adaptive control for continuous-time systems using n-delay limiting-zero model and its
Direct Control Parameter Tuning Method for Disturbance Attenuation Based on Variance Evaluation
Nonlinear Learning Control of Ionic Polymer Metal Composites
Adaptive control for systems preceded by hysteresis represented by Preisach model
An Information Theoretic Approach to Constructing Machine Learning Criteria
Data-based l1 optimal robust synthesis for the first order plant
Digital Adaptive Control of Uncertain Continuous Linear Systems with Quantized Measurements
Model-based predictive adaptive delta modulation
Semi-recursive kernel estimation of functions of density functionals and their derivatives
Neuro-adaptive approach for controlling a quad-rotor helicopter using sliding mode learning algorithm
L1 Adaptive Control for a Class of Nonaffine-In-Control Nonlinear Systems
Suboptimal state estimation for uncertain multisensor discrete-time linear stochastic systems
Optimal periodic motions of two-mass systems in resistive media
Adaptive Output Feedback Control of Interleaved Parallel Boost Converters
Determination of the minimax risk for Bernoulli multi-armed bandit
Long term learning adaptive neural network estimator based limit detection
Sound source classification using support vector machine
Neural network based bicriterial dual control with multiple linearization
Target tracking using adaptive gain backstepping control
The Shooting Approach to Optimal Control Problems
Adaptive Parameter Selection for Block Wavelet-Thresholding Deconvolution
Passification-based adaptive control with implicit reference model
Global tracking result for strict feedback systems in presence of actuator saturation
IDA-PBC under Sampling for Torque Control of PMSM
Observer-based adaptive neural control of time-delay uncertain MIMO nonlinear systems
Direct policy search method in fault tolerant autonomous systems
Necessary and sufficient conditions for stability of MRAC systems
Efficient Desynchronization of Thermostatically Controlled Loads
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r
Immersion and invariance based adaptive control of three dimensional autonomous vehicle maneuvers
Adaptive Control Scheme for Grid-Connected Photovoltaic Systems with Unknown Bounds
Nonlinear Control of Hybrid Photovoltaic/Fuel Cell Distributed Generation System
Auto-tuning method of expanded PID control for MIMO systems
Geometric Clustering and Parameter Estimation in Multiple Local Linear Model Identification
Decentralized Sliding Mode Control for Marine Turbines Connected to Grid
Modeling and identification of a small scale magnetorheological damper
A necessary and sufficient condition for n-D BIBO stability and functional Schur coefficients
Fault Diagnosis for Linear Time-Varying Descriptor Systems
Design of a data-driven performance-adaptive PID controller
Self-tuning control based on generalized minimum variance criterion
Observer-based parameter estimation in Liénard systems