Sinem Aslan

About Sinem Aslan

Sinem Aslan, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Università Ca' Foscari di Venezia, specializes in the field of computer vision, machine learning, deep learning, pattern recognition, cultural heritage and art analysis.

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

Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework

EEG-based neural networks approaches for fatigue and drowsiness detection: A survey

Reassembling Broken Objects using Breaking Curves

Evaluation of lagoon eutrophication potential under climate change conditions: A novel water quality machine learning and biogeochemical-based framework.

Semantic Motif Segmentation of Archaeological Fresco Fragments

Aligning Figurative Paintings With Their Sources for Semantic Interpretation

Recognizing the emotions evoked by artworks through visual features and knowledge graph-embeddings

Recurrent neural networks for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon

Sinem Aslan Information

University

Position

___

Citations(all)

723

Citations(since 2020)

709

Cited By

94

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Sinem Aslan Skills & Research Interests

computer vision

machine learning

deep learning

pattern recognition

cultural heritage and art analysis

Top articles of Sinem Aslan

Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework

Ecological Indicators

2023/12/15

EEG-based neural networks approaches for fatigue and drowsiness detection: A survey

2023/8/22

Aznul Qalid Md Sabri
Aznul Qalid Md Sabri

H-Index: 6

Sinem Aslan
Sinem Aslan

H-Index: 5

Reassembling Broken Objects using Breaking Curves

arXiv preprint arXiv:2306.02782

2023/6/5

Evaluation of lagoon eutrophication potential under climate change conditions: A novel water quality machine learning and biogeochemical-based framework.

EGU General Assembly Conference Abstracts

2023/5

Sinem Aslan
Sinem Aslan

H-Index: 5

Andrea Critto
Andrea Critto

H-Index: 30

Semantic Motif Segmentation of Archaeological Fresco Fragments

2023

Aligning Figurative Paintings With Their Sources for Semantic Interpretation

2023

Sinem Aslan
Sinem Aslan

H-Index: 5

Luc Steels
Luc Steels

H-Index: 32

Recognizing the emotions evoked by artworks through visual features and knowledge graph-embeddings

2022/5/23

Sinem Aslan
Sinem Aslan

H-Index: 5

Recurrent neural networks for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon

Environmental Modelling & Software

2022/5/13

Sinem Aslan
Sinem Aslan

H-Index: 5

Andrea Critto
Andrea Critto

H-Index: 30

Exploring machine learning potential for climate change risk assessment

2021/9/1

Sinem Aslan
Sinem Aslan

H-Index: 5

Andrea Critto
Andrea Critto

H-Index: 30

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review

2021/4/1

Syed Asad Hussain
Syed Asad Hussain

H-Index: 5

Sinem Aslan
Sinem Aslan

H-Index: 5

Identifying Centres of Interest in Paintings Using Alignment and Edge Detection

2021/1/10

Sinem Aslan
Sinem Aslan

H-Index: 5

Luc Steels
Luc Steels

H-Index: 32

Transductive Visual Verb Sense Disambiguation

2021

Benchmarking algorithms for food localization and semantic segmentation

International Journal of Machine Learning and Cybernetics

2020/12

Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games

Pattern Recognition Letters

2020/3/1

See List of Professors in Sinem Aslan University(Università Ca' Foscari di Venezia)

Co-Authors

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