RTU Research Outputs and Resources: Reasearch Staff

Information about Author

Name, Surname:

Ēvalds Urtāns

Department:

(33700) Lietišķo datorsistēmu institūts

Scientific Degree:

Doktors

E-mail:

Evalds.Urtans(at)rtu.lv

Publications

12 items found, displaying 1 to 10.

LSTM Rollout Curriculum Using Double Pendulum
(2024)

Reinis Freibergs, Ēvalds Urtāns, Ansis Ecis, Henrik Gabrielyan
Scientific article indexed in SCOPUS or WOS database

Noise-Based and Class-Based Curriculum Learning for Image Classifiers
(2023)

Yue Li, Ēvalds Urtāns
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series
(2022)

Harijs Ijabs, Ēvalds Urtāns
Scientific article indexed in SCOPUS or WOS database

Detection of Knots in Oak Wood Planks: Instance Versus Semantic Segmentation
(2022)

Ēvalds Urtāns, Kārlis Būmanis, Valters Vēciņš, Māris Ancāns, Aiga Andrijanova, Mārcis Teodors Upenieks, Kristofers Volkovs
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Function Shaping in Deep Learning
(2021)

Ēvalds Urtāns
Doctoral Thesis

Exponential Triplet Loss
(2020)

Ēvalds Urtāns, Agris Ņikitenko, Valters Vēciņš
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Value Iteration Solver Networks
(2020)

Ēvalds Urtāns, Valters Vēciņš
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Projects

3 items found, displaying 1 to 3.

A digital package for autonomous systems and self-driving vehicles
Citi

Agris Ņikitenko

Datorzinātnes un informācijas tehnoloģijas fakultāte (34-12000-DOK.DITF/16)

Jānis Grundspeņķis

Lietišķo datorsistēmu institūts (34-12300-N7046.4)
Citi

Jānis Grundspeņķis

Information about Author

Publications

LSTM Rollout Curriculum Using Double Pendulum
(2024)

Noise-Based and Class-Based Curriculum Learning for Image Classifiers
(2023)

Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series
(2022)

Detection of Knots in Oak Wood Planks: Instance Versus Semantic Segmentation
(2022)

Function Shaping in Deep Learning
(2021)

Exponential Triplet Loss
(2020)

Value Iteration Solver Networks
(2020)

Chapter 3: ChromSword®: Software for Method Development in Liquid Chromatography
(2018)

Survey of Deep Q-Network Variants in PyGame Learning Environment
(2018)

Active Infrared Markers for Augmented and Virtual Reality
(2016)

Projects

A digital package for autonomous systems and self-driving vehicles
Citi

Datorzinātnes un informācijas tehnoloģijas fakultāte (34-12000-DOK.DITF/16)

Lietišķo datorsistēmu institūts (34-12300-N7046.4)
Citi

Information about Author

Publications

LSTM Rollout Curriculum Using Double Pendulum (2024)

Noise-Based and Class-Based Curriculum Learning for Image Classifiers (2023)

Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series (2022)

Detection of Knots in Oak Wood Planks: Instance Versus Semantic Segmentation (2022)

Function Shaping in Deep Learning (2021)

Exponential Triplet Loss (2020)

Value Iteration Solver Networks (2020)

Chapter 3: ChromSword®: Software for Method Development in Liquid Chromatography (2018)

Survey of Deep Q-Network Variants in PyGame Learning Environment (2018)

Active Infrared Markers for Augmented and Virtual Reality (2016)

Projects

A digital package for autonomous systems and self-driving vehicles Citi

Datorzinātnes un informācijas tehnoloģijas fakultāte (34-12000-DOK.DITF/16)

Lietišķo datorsistēmu institūts (34-12300-N7046.4) Citi

LSTM Rollout Curriculum Using Double Pendulum
(2024)

Noise-Based and Class-Based Curriculum Learning for Image Classifiers
(2023)

Bidirectional Long Short-Term Memory Networks for Automatic Crop Classification at Regional Scale using Tabular Remote Sensing Time Series
(2022)

Detection of Knots in Oak Wood Planks: Instance Versus Semantic Segmentation
(2022)

Function Shaping in Deep Learning
(2021)

Exponential Triplet Loss
(2020)

Value Iteration Solver Networks
(2020)

Chapter 3: ChromSword®: Software for Method Development in Liquid Chromatography
(2018)

Survey of Deep Q-Network Variants in PyGame Learning Environment
(2018)

Active Infrared Markers for Augmented and Virtual Reality
(2016)

A digital package for autonomous systems and self-driving vehicles
Citi

Lietišķo datorsistēmu institūts (34-12300-N7046.4)
Citi