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Robertas Damaševičius
Bronze Contributor
5,605 Points

Contributions by role

Author 1,035
Reviewer 430
Editor 4,140

Contributions by subject area

Neurology
Human-Computer Interaction
Algorithms and Analysis of Algorithms
Artificial Intelligence
Computer Vision
Data Mining and Machine Learning
Bioinformatics
Adaptive and Self-Organizing Systems
Spatial and Geographic Information Systems
Theory and Formal Methods
Neural Networks
Mobile and Ubiquitous Computing
Optimization Theory and Computation
Computer Networks and Communications
Computer Education
Data Science
Security and Privacy
Multimedia
Cryptography
Software Engineering
Text Mining
Computational Biology
Natural Language and Speech
Network Science and Online Social Networks
Internet of Things
Agents and Multi-Agent Systems
Computer Aided Design
Robotics
Scientific Computing and Simulation
Social Computing
Brain-Computer Interface
Graphics
Embedded Computing
Emerging Technologies
Real-Time and Embedded Systems
Distributed and Parallel Computing
Pathology
Computational Science
Computational Linguistics
World Wide Web and Web Science
Bronze Contributor

Robertas Damaševičius

PeerJ Author & Reviewer

Summary

ROBERTAS DAMAŠEVIČIUS received his Ph.D. in Informatics Engineering from Kaunas University of Technology (Lithuania) in 2005. His research interests include sustainable software engineering, human–computer interfaces, assisted living, data mining and machine learning. He is the author of over 300 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been the Guest Editor of several invited issues of international journals (Biomed Research International, Computational Intelligence and Neuroscience, Journal of Healthcare Engineering, IEEE Access, and Electronics). Visit his ResearchGate profile: https://www.researchgate.net/profile/Robertas_Damasevicius

Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Brain-Computer Interface Computational Linguistics Computational Science Computer Architecture Computer Education Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Embedded Computing Human-Computer Interaction Mobile & Ubiquitous Computing Natural Language & Speech Network Science & Online Social Networks Robotics Security & Privacy Sensors Software Engineering

Past or current institution affiliations

Silesian University
Kaunas University of Technology
Vytautas Magnus University

Websites

  • Google Scholar
  • ResearchGate
  • PubMed Search
  • Microsoft Academic Search
  • Loop

PeerJ Contributions

  • Articles 13
  • Edited 21
  • Reviewed 1
May 13, 2024
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matic, Milos Kabiljo, Vladimir Simic, Goran Kunjadic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin
https://doi.org/10.7717/peerj-cs.2031
April 30, 2024
A comparative study of feature selection and feature extraction methods for financial distress identification
Dovilė Kuizinienė, Paulius Savickas, Rimantė Kunickaitė, Rūta Juozaitienė, Robertas Damaševičius, Rytis Maskeliūnas, Tomas Krilavičius
https://doi.org/10.7717/peerj-cs.1956
January 18, 2024
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic
https://doi.org/10.7717/peerj-cs.1795
May 19, 2022
Identifying defective solar cells in electroluminescence images using deep feature representations
Alaa S. Al‐Waisy, Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Shumoos Hammadi, Hussam Mohammed, Mazin Abed Mohammed, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.992
December 22, 2021
Bankline detection of GF-3 SAR images based on shearlet
Zengguo Sun, Guodong Zhao, Marcin Woźniak, Rafał Scherer, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.611
December 16, 2021
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Talha Meraj, Wael Alosaimi, Bader Alouffi, Hafiz Tayyab Rauf, Swarn Avinash Kumar, Robertas Damaševičius, Hashem Alyami
https://doi.org/10.7717/peerj-cs.805
May 26, 2021
Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Vijay Kumar, Dilbag Singh, Manjit Kaur, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.564
May 7, 2021
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Lakshmana Kumar Ramasamy, Shynu Gopalan Padinjappurathu, Seifedine Kadry, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.456
April 19, 2021
Neural network hyperparameter optimization for prediction of real estate prices in Helsinki
Jussi Kalliola, Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.444
March 23, 2021
Detection of sitting posture using hierarchical image composition and deep learning
Audrius Kulikajevas, Rytis Maskeliunas, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.442
March 2, 2021
Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.352
February 10, 2021
From ECG signals to images: a transformation based approach for deep learning
Mahwish Naz, Jamal Hussain Shah, Muhammad Attique Khan, Muhammad Sharif, Mudassar Raza, Robertas Damaševičius
https://doi.org/10.7717/peerj-cs.386
March 22, 2016
Consumer-grade EEG devices: are they usable for control tasks?
Rytis Maskeliunas, Robertas Damasevicius, Ignas Martisius, Mindaugas Vasiljevas
https://doi.org/10.7717/peerj.1746 PubMed 27014511

Academic Editor on

July 21, 2021
Natural language understanding of map navigation queries in Roman Urdu by joint entity and intent determination
Javeria Hassan, Muhammad Ali Tahir, Adnan Ali
https://doi.org/10.7717/peerj-cs.615
June 25, 2021
Investigating cross-lingual training for offensive language detection
Andraž Pelicon, Ravi Shekhar, Blaž Škrlj, Matthew Purver, Senja Pollak
https://doi.org/10.7717/peerj-cs.559
May 12, 2021
A novel no-sensors 3D model reconstruction from monocular video frames for a dynamic environment
Ghada M. Fathy, Hanan A. Hassan, Walaa Sheta, Fatma A. Omara, Emad Nabil
https://doi.org/10.7717/peerj-cs.529
April 20, 2021
AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
Saleh Albahli, Hafiz Tayyab Rauf, Abdulelah Algosaibi, Valentina Emilia Balas
https://doi.org/10.7717/peerj-cs.495
April 13, 2021
Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning
Sadaf Hussain Janjua, Ghazanfar Farooq Siddiqui, Muddassar Azam Sindhu, Umer Rashid
https://doi.org/10.7717/peerj-cs.433
April 7, 2021
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
Bifta Sama Bari, Md Nahidul Islam, Mamunur Rashid, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab Nasir, Anwar P.P. Abdul Majeed
https://doi.org/10.7717/peerj-cs.432
March 12, 2021
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Shafaq Abbas, Zunera Jalil, Abdul Rehman Javed, Iqra Batool, Mohammad Zubair Khan, Abdulfattah Noorwali, Thippa Reddy Gadekallu, Aqsa Akbar
https://doi.org/10.7717/peerj-cs.390
March 10, 2021
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases
Omneya Attallah, Maha Sharkas
https://doi.org/10.7717/peerj-cs.423
March 5, 2021
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings
Sajjad Shumaly, Mohsen Yazdinejad, Yanhui Guo
https://doi.org/10.7717/peerj-cs.422
March 3, 2021
Joint embedding VQA model based on dynamic word vector
Zhiyang Ma, Wenfeng Zheng, Xiaobing Chen, Lirong Yin
https://doi.org/10.7717/peerj-cs.353
March 2, 2021
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab Nasir, Anwar P.P. Abdul Majeed
https://doi.org/10.7717/peerj-cs.374
February 24, 2021
Implementation of the computer tomography parallel algorithms with the incomplete set of data
Mariusz Pleszczyński
https://doi.org/10.7717/peerj-cs.339
February 18, 2021
COVID-19: a new deep learning computer-aided model for classification
Omar M. Elzeki, Mahmoud Shams, Shahenda Sarhan, Mohamed Abd Elfattah, Aboul Ella Hassanien
https://doi.org/10.7717/peerj-cs.358
February 10, 2021
A novel perceptual two layer image fusion using deep learning for imbalanced COVID-19 dataset
Omar M. Elzeki, Mohamed Abd Elfattah, Hanaa Salem, Aboul Ella Hassanien, Mahmoud Shams
https://doi.org/10.7717/peerj-cs.364
February 4, 2021
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals
Shiu Kumar, Ronesh Sharma, Alok Sharma
https://doi.org/10.7717/peerj-cs.375
January 28, 2021
Steganography in color images with random order of pixel selection and encrypted text message embedding
Krasimir Kordov, Stanimir Zhelezov
https://doi.org/10.7717/peerj-cs.380
January 22, 2021
Data augmentation based malware detection using convolutional neural networks
Ferhat Ozgur Catak, Javed Ahmed, Kevser Sahinbas, Zahid Hussain Khand
https://doi.org/10.7717/peerj-cs.346
December 7, 2020
Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation
Thavavel Vaiyapuri, Adel Binbusayyis
https://doi.org/10.7717/peerj-cs.327
November 30, 2020
A hybrid method for heartbeat classification via convolutional neural networks, multilayer perceptrons and focal loss
Tao Wang, Changhua Lu, Mei Yang, Feng Hong, Chun Liu
https://doi.org/10.7717/peerj-cs.324
November 9, 2020
Automatic modular design of robot swarms using behavior trees as a control architecture
Antoine Ligot, Jonas Kuckling, Darko Bozhinoski, Mauro Birattari
https://doi.org/10.7717/peerj-cs.314
October 12, 2020
FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features
Dina A. Ragab, Omneya Attallah
https://doi.org/10.7717/peerj-cs.306

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

March 14, 2023
Explainability of deep learning models in medical video analysis: a survey
Michal Kolarik, Martin Sarnovsky, Jan Paralic, Frantisek Babic
https://doi.org/10.7717/peerj-cs.1253