Nikolaos Doulamis

About Nikolaos Doulamis

Nikolaos Doulamis, With an exceptional h-index of 47 and a recent h-index of 37 (since 2020), a distinguished researcher at National Technical University, specializes in the field of geoinformatics, image processing, pattern analysis, computer vision, artificial intelligence.

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

Goat-CNN: A Lightweight Convolutional Neural Network for Pose-independent Body Condition Score Estimation in Goats

Multi-scale Intervention Planning based on Generative Design

the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece

Uncertainty estimation in spatial interpolation of satellite precipitation with ensemble learning

Quantifying predictive uncertainty in satellite precipitation data correction using ensemble learning

Predictive uncertainty estimation in satellite precipitation data correction using machine learning

C2A-DC: A context-aware adaptive data cube framework for environmental monitoring and climate change crisis management

Learning using privileged information for segmenting tumors on digital mammograms

Nikolaos Doulamis Information

University

Position

___

Citations(all)

12328

Citations(since 2020)

8214

Cited By

6608

hIndex(all)

47

hIndex(since 2020)

37

i10Index(all)

177

i10Index(since 2020)

103

Email

University Profile Page

Google Scholar

Nikolaos Doulamis Skills & Research Interests

geoinformatics

image processing

pattern analysis

computer vision

artificial intelligence

Top articles of Nikolaos Doulamis

Goat-CNN: A Lightweight Convolutional Neural Network for Pose-independent Body Condition Score Estimation in Goats

Journal of Agriculture and Food Research

2024/5/1

Multi-scale Intervention Planning based on Generative Design

arXiv preprint arXiv:2404.15492

2024/4/23

the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece

Scientific Data

2024/4/12

Uncertainty estimation in spatial interpolation of satellite precipitation with ensemble learning

arXiv preprint arXiv:2403.10567

2024/3/14

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

Quantifying predictive uncertainty in satellite precipitation data correction using ensemble learning

2024/3/7

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

Predictive uncertainty estimation in satellite precipitation data correction using machine learning

2024/3/7

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

C2A-DC: A context-aware adaptive data cube framework for environmental monitoring and climate change crisis management

Remote Sensing Applications: Society and Environment

2024/2/16

Learning using privileged information for segmenting tumors on digital mammograms

arXiv preprint arXiv:2402.06379

2024/2/9

Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review

2024/1/28

In Excess Attenuation Detection using Satellite Link Channel Measurements at Ka and Q bands with Deep Learning Architectures

IEEE Transactions on Antennas and Propagation

2023/6/9

Site Diversity Switching Prediction AT Q Band Using Deep Learning Techniques in Satellite Communications

2023/6/4

Continilm: A Continual Learning Scheme for Non-Intrusive Load Monitoring

2023/6/4

A Transformer Model for Ionospheric TEC Prediction Using GNSS Observations

EGU General Assembly Conference Abstracts

2023/5

Excess attenuation detection in satellite communication channel measurements with deep learning architectures

2023/3/26

Maria Kaselimi
Maria Kaselimi

H-Index: 4

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Evaluating the Effectiveness of Unsupervised and Supervised Techniques for Identifying Deteriorations on Cultural Heritage Monuments Using Hyper-spectral Imagery

2023/3/20

Interpretable deep learning framework for land use and land cover classification in remote sensing using SHAP

IEEE Geoscience and Remote Sensing Letters

2023/3/2

Large-scale comparison of machine and statistical learning algorithms for blending gridded satellite and earth-observed precipitation data

EGU General Assembly Conference Abstracts

2023/2/22

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Fusion of satellite precipitation products and ground-based measurements using LightGBM with a focus on extreme quantiles

EGU General Assembly Conference Abstracts

2023/2/22

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

Performance-aware NILM model optimization for edge deployment

IEEE Transactions on Green Communications and Networking

2023/2/13

Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale

Hydrology

2023/2/12

Anastasios Doulamis
Anastasios Doulamis

H-Index: 27

Nikolaos Doulamis
Nikolaos Doulamis

H-Index: 26

See List of Professors in Nikolaos Doulamis University(National Technical University)