argmax.ai

Website beoordeling argmax.ai

Patrick van der Smagt - Publications

 Gegenereerd op Januari 22 2026 11:43 AM

Oude statistieken? UPDATE !

De score is 61/100

SEO Content

Title

Patrick van der Smagt - Publications

Lengte : 36

Perfect, uw title tag bevat tussen de 10 en 70 karakters.

Description

Lengte : 0

Erg slecht.we hebben geen meta description gevonden in uw website. Gebruik deze gratis online meta tags generator om een beschrijving te genereren.

Keywords

Erg slecht. We hebben geen meta keywords gevonden in uw website. Gebruik deze gratis online meta tags generator om keywords te genereren.

Og Meta Properties

Deze pagina maakt geen gebruik van Og Properties. Deze tags maken het sociale crawlers makkelijker uw pagina te indexeren.

Headings

H1 H2 H3 H4 H5 H6
1 0 0 0 0 0
  • [H1] Patrick van der Smagt - Publications

Afbeeldingen

We vonden 0 afbeeldingen in de pagina.

Goed, de meeste of alle afbeeldingen hebben een alt tekst

Text/HTML Ratio

Ratio : 48%

Ideaal! De ratio van text tot HTML code is tussen de 25 en 70 procent.

Flash

Perfect, geen Flash content gevonden in uw website.

Iframe

Perfect, er zijn geen Iframes in uw website aangetroffen.

Herschreven URL

Perfect. Uw links zien er vriendelijk uit!

Underscores in de URLs

Perfect! Geen underscores gevonden in uw URLs.

In-page links

We vonden een totaal van 185 links inclusie 0 link(s) naar bestanden

Ankertekst Type samenstelling
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models Extern doFollow
LIMT: Language-Informed Multi-Task Visual World Models Extern doFollow
TechOps: Technical Documentation Templates for the AI Act Extern doFollow
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning Extern doFollow
Latent Action World Models for Control with Unlabeled Trajectories Extern doFollow
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters Extern doFollow
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models Extern doFollow
1991T-Like Type Ia supernovae as an extension of the normal population Extern doFollow
On the role of the action space in robot manipulation learning and sim-to-real transfer Extern doFollow
Scalable stellar evolution forecasting Extern doFollow
Guided Decoding for Robot On-line Motion Generation and Adaption Extern doFollow
A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation Extern doFollow
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models Extern doFollow
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems Extern doFollow
Introducing Finite Element Method Integrated Networks (FEMIN) Extern doFollow
The Shortcomings of Force-from-Motion in Robot Learning Extern doFollow
Human short-latency reflexes show precise short-term gain adaptation after prior motion Extern doFollow
PRISM: Probabilistic Real-Time Inference in Spatial World Models Extern doFollow
CLAS: Coordinating multi-robot manipulation with central latent action spaces Extern doFollow
Filter-Aware Model-Predictive Control Extern doFollow
AI regulation is (not) all you need Extern doFollow
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context Extern doFollow
Chronic Multi-Electrode Electromyography in Snakes Extern doFollow
Tracking and planning with spatial world models Extern doFollow
New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer Extern doFollow
Flat latent manifolds for music improvisation between human and machine Extern doFollow
Probabilistic Dalek–-Emulator framework with probabilistic prediction for supernova tomography Extern doFollow
Local distance preserving auto-encoders using continuous knn graphs Extern doFollow
Variational state-space models for localisation and dense 3D mapping in 6 DoF Extern doFollow
Layerwise learning for quantum neural networks Extern doFollow
Dalek: A Deep Learning Emulator for TARDIS Extern doFollow
Mind the gap when conditioning amortised inference in sequential latent-variable models Extern doFollow
Constrained probabilistic movement primitives for robot trajectory adaptation Extern doFollow
Less Suboptimal Learning and Control in Variational POMDPs Extern doFollow
Probabilistic reconstruction of type Ia supernova SN 2002bo Extern doFollow
Exploration via empowerment gain: Combining novelty, surprise and learning progress Extern doFollow
An adaptive mechatronic exoskeleton for force-controlled finger rehabilitation Extern doFollow
Latent matters: Learning deep state-space models Extern doFollow
Estimating fingertip forces, torques, and local curvatures from fingernail images Extern doFollow
Learning flat latent manifolds with VAEs Extern doFollow
Learning to fly via deep model-based reinforcement learning Extern doFollow
Snakestrike: A low-cost open-source high-speed multi-camera motion capture system Extern doFollow
Teaching a robot to see how it moves Extern doFollow
Unsupervised real-time control through variational empowerment Extern doFollow
Approximate Bayesian inference in spatial environments Extern doFollow
Multi-source neural variational inference Extern doFollow
Switching linear dynamics for variational Bayes filtering Extern doFollow
Fast approximate geodesics for deep generative models Extern doFollow
Bayesian learning of neural network architectures Extern doFollow
On deep set learning and the choice of aggregations Extern doFollow
ORC – a lightweight, lightning-fast middleware Extern doFollow
Learning hierarchical priors in VAEs Extern doFollow
Early integration for movement modeling in latent spaces Extern doFollow
Increasing the generalisaton capacity of conditional VAEs Extern doFollow
Variational tracking and prediction with generative disentangled state-space models Extern doFollow
Beta DVBF: Learning state-space models for control from high dimensional observations Extern doFollow
Continual learning with Bayesian neural networks for non-stationary data Extern doFollow
Gaussian process neurons Extern doFollow
Metrics for deep generative models Extern doFollow
Navigation and planning in latent maps Extern doFollow
Active learning based on data uncertainty and model sensitivity Extern doFollow
Deep variational Bayes filters: Unsupervised learning of state space models from raw data Extern doFollow
CNN-based segmentation of medical imaging data Extern doFollow
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform Extern doFollow
Key insights into hand biomechanics: human grip stiffness can be decoupled from force by cocontraction and predicted from electromyography Extern doFollow
Two-stream RNN/CNN for action recognition in 3D videos Extern doFollow
Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits Extern doFollow
Design and evaluation of a haptic interface with octopod kinematics Extern doFollow
Automatic differentiation for tensor algebras Extern doFollow
Gaussian process neurons learn stochastic activation functions Extern doFollow
SynEM, automated synapse detection for connectomics Extern doFollow
Musculoskeletal robots: scalability in neural control Extern doFollow
Variational inference for on-line anomaly detection in high-dimensional time series Extern doFollow
iEMG: Imaging electromyography Extern doFollow
A Differentiable Transition Between Additive and Multiplicative Neurons Extern doFollow
ML-based tactile sensor calibration: A universal approach Extern doFollow
Unsupervised preprocessing for tactile data Extern doFollow
Evaluation of joint type modelling in the human hand Extern doFollow
Neurorobotics: From vision to action Extern doFollow
Stable reinforcement learning with autoencoders for tactile and visual data Extern doFollow
Variational inference with Hamiltonian Monte Carlo Extern doFollow
Dynamic movement primitives in latent space of time-dependent variational autoencoders Extern doFollow
Boost online virtual network embedding: Using neural networks for admission control Extern doFollow
An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces Extern doFollow
Sensor calibration and hysteresis compensation with heteroscedastic Gaussian processes Extern doFollow
Fast adaptive weight noise Extern doFollow
Measuring fingertip forces from camera images for random finger poses Extern doFollow
Robust detection of anomalies via sparse methods Extern doFollow
Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties Extern doFollow
Efficient empowerment Extern doFollow
Efficient movement representation by embedding dynamic movement primitives in deep autoencoders Extern doFollow
Flownet: Learning optical flow with convolutional networks Extern doFollow
A neural transfer function for a smooth and differentiable transition between additive and multiplicative interactions Extern doFollow
Real-time Cerebellar Control of a Compliant Robotic Arm Extern doFollow
MRI-based skeletal hand movement model Extern doFollow
Continuous control of the DLR light-weight robot iii by a human with tetraplegia using the braingate2 neural interface system Extern doFollow
A new biarticular joint mechanism to extend stiffness ranges Extern doFollow
Estimating finger grip force from an image of the hand using convolutional neural networks and Gaussian processes Extern doFollow
Model-free robot anomaly detection Extern doFollow
Image super-resolution with fast approximate convolutional sparse coding Extern doFollow
Minimizing data consumption with sequential online feature selection Extern doFollow
Relation between object properties and EMG during reaching to grasp Extern doFollow
Identification of human limb stiffness in 5 DoF and estimation via EMG Extern doFollow
Unsupervised feature learning for low-level local image descriptors Extern doFollow
Evidence of muscle synergies during human grasping Extern doFollow
Convolutional neural networks learn compact local image descriptors Extern doFollow
Robots driven by compliant actuators: Optimal control under actuation constraints Extern doFollow
Computing grip force and torque from finger nail images using Gaussian processes Extern doFollow
Continuous robot control using surface electromyography of atrophic muscles Extern doFollow
Training neural networks with implicit variance Extern doFollow
On fast dropout and its applicability to recurrent networks Extern doFollow
Task dependency of grip stiffness: A study of human grip force and grip stiffness dependency during two different tasks with same grip forces Extern doFollow
Building the Ninapro database: A resource for the biorobotics community Extern doFollow
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm Extern doFollow
Learning sequence neighbourhood metrics Extern doFollow
Optimal torque and stiffness control in compliantly actuated robots Extern doFollow
Minimum jerk for human catching movements in 3D Extern doFollow
Patient performance evaluation using Kinect and Monte Carlo-based finger tracking Extern doFollow
Generating marker stars for 6D optical tracking Extern doFollow
Human hand modelling: kinematics, dynamics, applications Extern doFollow
Foreword for the special issue on Multimodal and Sensorimotor Bionics Extern doFollow
Minimizing Data Consumption in Sequential Classification Extern doFollow
EMG-based teleoperation and manipulation with the DLR LWR-III Extern doFollow
The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task Extern doFollow
Unsupervised learning of low-level audio features for music similarity estimation Extern doFollow
Sequential feature selection for classification Extern doFollow
Preliminary evidence of dynamic muscular synergies in human grasping Extern doFollow
Bionik: Bionische Roboter Extern doFollow
Conditioning vs. excitation time for estimating impedance parameters of the human arm Extern doFollow
Untitled Extern doFollow
The DLR touch sensor I: A flexible tactile sensor for robotic hands based on a crossed-wire approach Extern doFollow
The arm-perturbator: design of a wearable perturbation device to measure limb impedance Extern doFollow
Control of a robotic arm using intracortical motor signal by an individual with tetraplegia in the BrainGate2 trial Extern doFollow
STIFF: Enhancing biomorphic agility through variable stiffness Extern doFollow
Surface EMG in advanced hand prosthetics Extern doFollow
Robotics of human movements Extern doFollow
Anticipatory grip force control using a cerebellar model Extern doFollow
Human arm impedance and EMG in 3D Extern doFollow
VIACTORS–-Variable Impedance Actuation systems embodying advanced interaction behaviors Extern doFollow
Human hand kinematics based on MRI imaging Extern doFollow
Antagonism for a highly anthropomorphic hand–arm system Extern doFollow
Surface EMG for force control of mechanical hands Extern doFollow
Surface EMG suffices to classify the motion of each finger independently Extern doFollow
Human motion range data optimizes anthropomorphic robotic hand-arm system design Extern doFollow
Using MRT data to compute a hand kinematic model Extern doFollow
Neurorobotics: From vision to action Extern doFollow
Learning EMG control of a robotic hand: towards active prostheses Extern doFollow
Learning from demonstration: repetitive movements for autonomous service robotics Extern doFollow
Searching a scalable approach to cerebellar based control Extern doFollow
Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics Extern doFollow
Solving the ill-conditioning in neural network learning Extern doFollow
Benchmarking cerebellar control Extern doFollow
The cerebellum as computed torque model Extern doFollow
An overview of cerebellar control Extern doFollow
Learning techniques in a dataglove based telemanipulation system for the DLR hand Extern doFollow
Cerebellar control of robot arms Extern doFollow
Why feed-forward networks are in a bad shape Extern doFollow
Visual feedback in motion Extern doFollow
Neural systems for robotics Extern doFollow
Dynamic control in new robot structures: Can we learn nonlinear functions of high dimensionality? Extern doFollow
Can artificial cerebellar models compete to control robots Extern doFollow
Analysis and control of a rubbertuator arm Extern doFollow
An introduction to neural networks Extern doFollow
A robot arm is neurally controlled using monocular feedback Extern doFollow
A visually guided robot and a neural network join to grasp slanted objects Extern doFollow
Visual robot arm guidance using neural networks Extern doFollow
Nested networks for robot control Extern doFollow
Approximation with neural networks: Between local and global approximation Extern doFollow
A monocular robot arm can be neurally positioned Extern doFollow
Using many-particle decomposition to get a parallel self-organising map Extern doFollow
Computer Systemen en Applicaties Extern doFollow
A Visually Guided Robot and a Neural Network Join to Grasp Slanted Objects Extern doFollow
Minimisation methods for training feed-forward networks Extern doFollow
Neural network control of a pneumatic robot arm Extern doFollow
Simderella: A robot simulator for neuro-controller design Extern doFollow
The locally linear nested network for robot manipulation Extern doFollow
A one-eyed self learning robot manipulator Extern doFollow
Control of pneumatic robot arm dynamics by a neural network Extern doFollow
Neural Networks for Robot Eye-Hand Coordination Extern doFollow
Robotic hand-eye coordination using multi-resolution linear perceptron representation Extern doFollow
A Self-learning Controller For Monocular Grasping Extern doFollow
Interpolative robot control with the nested network approach Extern doFollow
High-precision robot control: The nested network Extern doFollow
A real-time learning neural robot controller Extern doFollow
A comparative study of neural network algorithms applied to optical character recognition Extern doFollow

SEO Keywords

Keywords Cloud

van international neural vol learning publications conference patrick der smagt

Keywords Consistentie

Keyword Content Title Keywords Description Headings
van 175
der 169
smagt 169
patrick 157
conference 81

Bruikbaarheid

Url

Domein : argmax.ai

Lengte : 9

Favicon

Erg slecht. We hebben geen favicon icoon gevonden. Deze trekken de aandacht van bezoekers in de regel.

Printbaarheid

Jammer. We vonden geen Print-Vriendelijke CSS.

Taal

Goed. Uw ingestelde taal is en.

Dublin Core

Deze pagina maakt geen gebruik van Dublin Core.

Document

Doctype

HTML 5

Encoding

Perfect. Uw ingestelde Charset is UTF-8.

W3C Validiteit

Fouten : 0

Waarschuwingen : 0

E-mail Privacy

Geweldig er is geen e-mail adres gevonden als platte tekst!

Niet ondersteunde HTML

Geweldig! We hebben geen niet meer ondersteunde HTMl tags gevonden in uw HTML.

Speed Tips

Geweldig, uw website heeft geen tabellen in een tabel.
Perfect. Er zijn geen inline CSS style gevonden in uw HTML!
Geweldig, uw website heeft een correct aantal CSS bestanden.
Perfect, uw website heeft een correct aantal JavaScript bestanden.
Perfect, uw website haalt voordeel uit gzip.

Mobile

Mobile Optimization

Apple Icon
Meta Viewport Tag
Flash content

Optimalisatie

XML Sitemap

Ontbrekend

Uw website heeft geen XML sitemap- dit kan problematisch zijn.

Een sitemap vermeld url's die beschikbaar zijn voor crawlen en kan extra informatie bevatten zoals uw laatste site-updates, frequentie van wijzigingen en het belang van de url's. Dit laat zoekmachines toe om de site intelligenter te doorzoeken.

Robots.txt

https://argmax.ai/robots.txt

Geweldig uw website heeft een robots.txt bestand.

Analytics

Ontbrekend

We hadden niet op te sporen van een analytics tool op deze website geplaatst.

Web Analytics laat u toe de bezoekersactiviteit op uw website te meten. U zou minstens 1 Analytics tool geïnstalleerd moeten hebben en een extra tool voor de bevestiging van de resultaten.

PageSpeed Insights

Device
Categorieën

Free SEO Testing Tool

Website review is een gratis tool waarmee u eenvoudig uw website kunt analyseren