Gintautas Dzemyda

Gintautas Dzemyda

Vilniaus Universitetas

H-index: 23

Europe-Lithuania

About Gintautas Dzemyda

Gintautas Dzemyda, With an exceptional h-index of 23 and a recent h-index of 12 (since 2020), a distinguished researcher at Vilniaus Universitetas, specializes in the field of dimensionality reduction, visualization of multidimensional data, optimization theory and applications, neural networks, image analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geometric multidimensional scaling: efficient approach for data dimensionality reduction

Referees of INFORMATICA Volume 34

Optimal cut-off points for pancreatic cancer detection using deep learning techniques

What is a concept drift? Does it affect machine learning performance?

Imbalanced Data Classification Approach Based on Clustered Training Set

Additive Manufacturing with Metals: Design, Processes, Materials, Quality Assurance, and Applications

Using Machine Learning to Determine Preoperative Feasibility and Postoperative Outcomes in Liver Transplantation

Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs

Gintautas Dzemyda Information

University

Position

Professor Institute of Data Science and Digital Technologies

Citations(all)

2536

Citations(since 2020)

850

Cited By

2088

hIndex(all)

23

hIndex(since 2020)

12

i10Index(all)

59

i10Index(since 2020)

18

Email

University Profile Page

Vilniaus Universitetas

Google Scholar

View Google Scholar Profile

Gintautas Dzemyda Skills & Research Interests

dimensionality reduction

visualization of multidimensional data

optimization theory and applications

neural networks

image analysis

Top articles of Gintautas Dzemyda

Title

Journal

Author(s)

Publication Date

Geometric multidimensional scaling: efficient approach for data dimensionality reduction

Journal of Global Optimization

Gintautas Dzemyda

Martynas Sabaliauskas

2024/1

Referees of INFORMATICA Volume 34

Informatica

Khadijeh Abolpour

Jurgita Antuchevičiene

José Antonio Ariza-Montes

Romualdas Baušys

Igoris Belovas

...

2023

Optimal cut-off points for pancreatic cancer detection using deep learning techniques

Gintautas Dzemyda

Olga Kurasova

Viktor Medvedev

Aušra Šubonienė

Aistė Gulla

...

2023/4/4

What is a concept drift? Does it affect machine learning performance?

DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30-December 2, 2023.

Dalia Breskuvienė

Gintautas Dzemyda

2023

Imbalanced Data Classification Approach Based on Clustered Training Set

Dalia Breskuvienė

Gintautas Dzemyda

2023/3/10

Additive Manufacturing with Metals: Design, Processes, Materials, Quality Assurance, and Applications

Sanjay Joshi

Richard P Martukanitz

Abdalla R Nassar

Pan Michaleris

2023/12/29

Using Machine Learning to Determine Preoperative Feasibility and Postoperative Outcomes in Liver Transplantation

HPB

A Gulla

I Jakiunaite

C Besselt

K Strupas

G Dzemyda

2023/1/1

Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs

Frontiers in psychology

Gerda Ana Melnik-Leroy

Linas Aidokas

Gintautas Dzemyda

Giedrė Dzemydaitė

Virginijus Marcinkevičius

...

2023/2/16

Semi-Supervised Learning with Pseudo-Labeling for Pancreatic Cancer Detection on CT Scans

Olga Kurasova

Viktor Medvedev

Aušra Šubonienė

Gintautas Dzemyda

Aistė Gulla

...

2023/6/20

Reinforcement learning strategies for vessel navigation

Integrated Computer-Aided Engineering

Andrius Daranda

Gintautas Dzemyda

2023/1/1

When exponential growth bias gets worse: an experiment with an educational intervention

DAMSS 2023: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30-December 2, 2023.

Gerda Ana Melnik-Leroy

Linas Aidokas

Gintautas Dzemyda

Giedrė Dzemydaitė

Virginijus Marcinkevičius

...

2023

Geometric MDS: New Insights

Numerical Computations: Theory and Algorithms NUMTA 2023

Gintautas Dzemyda

Martynas Sabaliauskas

2023/6/14

Detection of pancreatic cancer on CT images using pseudo-labelling methods

DAMSS: 14th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 30-December 2, 2023.

Aušra Šubonienė

Olga Kurasova

Gintautas Dzemyda

Viktor Medvedev

Aistė Kielaitė-Gulla

...

2023

Categorical feature encoding techniques for improved classifier performance when dealing with imbalanced data of fraudulent transactions

International Journal of Computers Communications & Control

Dalia Breskuvienė

Gintautas Dzemyda

2023/5/9

Information Systems and Technologies: WorldCIST 2022, Volume 1

Alvaro Rocha

Hojjat Adeli

Gintautas Dzemyda

Fernando Moreira

2022/5/10

Multi-Core Implementation of Geometric Multidimensional Scaling for Large-Scale Data

Gintautas Dzemyda

Viktor Medvedev

Martynas Sabaliauskas

2022/4/12

Autoencoder for fraudulent transactions data feature engineering

DAMSS: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022

Dalia Breskuvienė

Gintautas Dzemyda

2022

Referees of INFORMATICA Volume 33

Informatica

Khadijeh Abolpour

Darius Amilevičius

Jurgita Antuchevičiene

Tomas Baležentis

Romualdas Baušys

...

2022

Geometric MDS performance for large data dimensionality reduction and visualization

Informatica

Gintautas Dzemyda

Martynas Sabaliauskas

Viktor Medvedev

2022/1/1

Proceedings of the Conference" Lithuanian MSc Research in Informatics and ICT"

Vilnius University Open Series

Jolita Bernatavičienė

Gintautas Dzemyda

Olga Kurasova

Julius Žilinskas

2022/5/13

See List of Professors in Gintautas Dzemyda University(Vilniaus Universitetas)