---
_id: '12873'
abstract:
- lang: eng
text: Reliable Banknote Authentication is critical for economic stability. Regarding
everyday use, recent studies implemented successful techniques using banknote
images taken by mobile phone cameras. One challenge in mobile banknote authentication
is that it is impossible to collect images by all series/brands of mobile phones.
In this study, classification models are implemented that are able to generalize
to the samples from a wide number of mobile phone series even though they are
trained with samples from a small group of series. Existing state-of-the-art banknote
authentication approaches train a separate model per sub-image of a banknote,
using the extracted features of that sub-image. A new approach that trains a single
global model on the concatenated features of all the sub-images is presented.
Furthermore, ensemble models that combine Linear Discriminant Analysis and Deep
Neural Networks are employed in order to maximize the accuracy. Implemented techniques
were able to reach up to F1-score of 0.99914 on a Euro banknote data set which
contain images from 16 different mobile-phone series. The results also indicate
that new global model approach can improve the accuracy of the existing banknote
authentication techniques in case of model training with images from restricted/incomplete
phone series and brands.
author:
- first_name: Baris Gün
full_name: Sürmeli, Baris Gün
id: '73806'
last_name: Sürmeli
- first_name: Eugen
full_name: Gillich, Eugen
last_name: Gillich
- first_name: Helene
full_name: Dörksen, Helene
id: '46416'
last_name: Dörksen
citation:
ama: Sürmeli BG, Gillich E, Dörksen H. Generalisation Approach for Banknote Authentication
by Mobile Devices Trained on Incomplete Samples. Vol 14255. (Iliadis Lazaros
, ed.). Springer Nature Switzerland; 2023:332-343. doi:10.1007/978-3-031-44210-0_27
apa: Sürmeli, B. G., Gillich, E., & Dörksen, H. (2023). Generalisation Approach
for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. In Lazaros Iliadis
(Ed.), Artificial Neural Networks and Machine Learning - ICANN 2023 (Vol.
14255, pp. 332–343). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44210-0_27
bjps: 'Sürmeli BG, Gillich E and Dörksen H (2023) Generalisation Approach
for Banknote Authentication by Mobile Devices Trained on Incomplete Samples,
Iliadis Lazaros (ed.). Cham: Springer Nature Switzerland.'
chicago: 'Sürmeli, Baris Gün, Eugen Gillich, and Helene Dörksen. Generalisation
Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.
Edited by Lazaros Iliadis. Artificial Neural Networks and Machine Learning
- ICANN 2023. Vol. 14255. Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-44210-0_27.'
chicago-de: 'Sürmeli, Baris Gün, Eugen Gillich und Helene Dörksen. 2023. Generalisation
Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.
Hg. von Lazaros Iliadis. Artificial Neural Networks and Machine Learning
- ICANN 2023. Bd. 14255. Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland. doi:10.1007/978-3-031-44210-0_27,
.'
din1505-2-1: 'Sürmeli, Baris Gün ;
Gillich, Eugen ; Dörksen,
Helene ; Iliadis, Lazaros
(Hrsg.): Generalisation Approach for Banknote Authentication by Mobile Devices
Trained on Incomplete Samples, Lecture Notes in Computer Science. Bd.
14255. Cham : Springer Nature Switzerland, 2023'
havard: B.G. Sürmeli, E. Gillich, H. Dörksen, Generalisation Approach for Banknote
Authentication by Mobile Devices Trained on Incomplete Samples, Springer Nature
Switzerland, Cham, 2023.
ieee: 'B. G. Sürmeli, E. Gillich, and H. Dörksen, Generalisation Approach for Banknote
Authentication by Mobile Devices Trained on Incomplete Samples, vol. 14255.
Cham: Springer Nature Switzerland, 2023, pp. 332–343. doi: 10.1007/978-3-031-44210-0_27.'
mla: Sürmeli, Baris Gün, et al. “Generalisation Approach for Banknote Authentication
by Mobile Devices Trained on Incomplete Samples.” Artificial Neural Networks
and Machine Learning - ICANN 2023, edited by Lazaros Iliadis, vol. 14255,
Springer Nature Switzerland, 2023, pp. 332–43, https://doi.org/10.1007/978-3-031-44210-0_27.
short: B.G. Sürmeli, E. Gillich, H. Dörksen, Generalisation Approach for Banknote
Authentication by Mobile Devices Trained on Incomplete Samples, Springer Nature
Switzerland, Cham, 2023.
ufg: 'Sürmeli, Baris Gün/Gillich, Eugen/Dörksen, Helene: Generalisation Approach
for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Bd.
14255, hg. von Iliadis, Lazaros , Cham 2023 (Lecture Notes in Computer Science).'
van: 'Sürmeli BG, Gillich E, Dörksen H. Generalisation Approach for Banknote Authentication
by Mobile Devices Trained on Incomplete Samples. Iliadis Lazaros , editor. Artificial
Neural Networks and Machine Learning - ICANN 2023. Cham: Springer Nature Switzerland;
2023. (Lecture Notes in Computer Science; vol. 14255).'
conference:
end_date: 2023-09-29
location: Heraklion, GREECE
name: 32nd International Conference on Artificial Neural Networks (ICANN)
start_date: 2023-09-26
date_created: 2025-04-28T14:26:30Z
date_updated: 2025-06-26T07:55:20Z
department:
- _id: DEP5023
doi: 10.1007/978-3-031-44210-0_27
editor:
- first_name: ' Lazaros '
full_name: 'Iliadis, Lazaros '
last_name: Iliadis
intvolume: ' 14255'
language:
- iso: eng
page: 332-343
place: Cham
publication: Artificial Neural Networks and Machine Learning - ICANN 2023
publication_identifier:
eisbn:
- 978-3-031-44210-0
eissn:
- 1611-3349
isbn:
- 978-3-031-44209-4
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Computer Science
status: public
title: Generalisation Approach for Banknote Authentication by Mobile Devices Trained
on Incomplete Samples
type: conference_editor_article
user_id: '83781'
volume: 14255
year: '2023'
...
---
_id: '4336'
abstract:
- lang: eng
text: "Prolonged life expectancy along with the increasing complexity of medicine
and health services raises health costs worldwide dramatically. Whilst the smart
health concept has much potential to support the concept of the emerging P4-medicine
(preventive, participatory, predictive, and personalized), such high-tech medicine
produces large amounts of high-dimensional, weakly-structured data sets and massive
amounts of unstructured information. All these technological approaches along
with “big data” are turning the medical sciences into a data-intensive science.
To keep pace with the growing amounts of complex data, smart hospital approaches
are a commandment of the future, necessitating context aware computing along with
advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe
very successful synergistic combination of methodologies and approaches from Human-Computer
Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions
for the vision to support human intelligence with machine learning.\r\n\r\nThe
papers selected for this volume focus on hot topics in smart health; they discuss
open problems and future challenges in order to provide a research agenda to stimulate
further research and progress."
citation:
ama: 'Holzinger A, Röcker C, Ziefle M, eds. Smart Health: Open Problems and Future
Challenges. Vol 8700. Heidelberg: Springer; 2015. doi:10.1007/978-3-319-16226-3'
apa: 'Holzinger, A., Röcker, C., & Ziefle, M. (Eds.). (2015). Smart Health:
Open Problems and Future Challenges (Vol. 8700). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-16226-3'
bjps: 'Holzinger A, Röcker C and Ziefle M (eds) (2015) Smart Health: Open
Problems and Future Challenges. Heidelberg: Springer.'
chicago: 'Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. Smart
Health: Open Problems and Future Challenges. Vol. 8700. Lecture Notes in Computer
Science / Information Systems and Applications, Incl. Internet/Web, and HCI.
Heidelberg: Springer, 2015. https://doi.org/10.1007/978-3-319-16226-3.'
chicago-de: 'Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015.
Smart Health: Open Problems and Future Challenges. Bd. 8700. Lecture Notes
in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Heidelberg: Springer. doi:10.1007/978-3-319-16226-3,
.'
din1505-2-1: 'Holzinger, A. ; Röcker, C. ; Ziefle,
M. (Hrsg.): Smart Health: Open Problems and Future Challenges, Lecture
Notes in Computer Science / Information Systems and Applications, incl. Internet/Web,
and HCI. Bd. 8700. Heidelberg : Springer, 2015'
havard: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ieee: 'A. Holzinger, C. Röcker, and M. Ziefle, Eds., Smart Health: Open Problems
and Future Challenges, vol. 8700. Heidelberg: Springer, 2015.'
mla: 'Holzinger, Andreas, et al., editors. Smart Health: Open Problems and Future
Challenges. Vol. 8700, Springer, 2015, doi:10.1007/978-3-319-16226-3.'
short: 'A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and
Future Challenges, Springer, Heidelberg, 2015.'
ufg: 'Holzinger, Andreas et. al. (Hgg.) (2015): Smart Health: Open Problems
and Future Challenges (=Lecture Notes in Computer Science / Information Systems
and Applications, incl. Internet/Web, and HCI 8700), Heidelberg.'
van: 'Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and
Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer
Science / Information Systems and Applications, incl. Internet/Web, and HCI;
vol. 8700).'
date_created: 2021-01-08T12:03:52Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.1007/978-3-319-16226-3
editor:
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Martina
full_name: Ziefle, Martina
last_name: Ziefle
intvolume: ' 8700'
keyword:
- HCI
- ambient assisted living
- big data
- computational intelligence
- context awareness
- data centric medicine
- decision support
- interactive data mining
- keyword detection
- knoweldge bases
- knoweldge discovery
- machine learning
- medical decision support
- medical informatics
- natural language processing
- pervasive health
- smart home
- ubiquitous computing
- visualization
- wearable sensors
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'http://www.springerlink.com/content/978-3-319-16226-3 '
oa: '1'
page: '275'
place: Heidelberg
publication_identifier:
eisbn:
- 978-3-319-16226-3
eissn:
- 1611-3349
isbn:
- 978-3-319-16225-6
issn:
- 0302-9743
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science / Information Systems and Applications,
incl. Internet/Web, and HCI
status: public
title: 'Smart Health: Open Problems and Future Challenges'
type: book_editor
user_id: '15514'
volume: 8700
year: 2015
...
---
_id: '5883'
abstract:
- lang: eng
text: 'The study of users’ emotional behavior as an important aspect of the user
experience has been receiving increasing attention for the past few years. In
this paper we discuss the multi-component character of emotions and its consideration
in the area of human-technology interaction. Based on the approach proposed by
Scherer [1], various aspects of emotions were investigated in an interactive context:
subjective feelings, physiological activation, motor expression, cognitive appraisals,
and behavioral tendencies. In an experiment emotion-related changes were detected
for a number of emo tional components by using a variety of methods: rating scales
for sub jec tive feelings, electromyography of facial muscles, heart rate, electrodermal
activity, perfor mance data and questionnaires on cognitive appraisals. Results
are discussed with respect to the correlation between the components and their
associated methods. We suggest that a combination of methods provides a comprehensive
basis for analyzing emotions as an aspect of the user experience.'
author:
- first_name: Sascha
full_name: Mahlke, Sascha
last_name: Mahlke
- first_name: Michael
full_name: Minge, Michael
id: '78302'
last_name: Minge
orcid: 0000-0003-1930-7064
citation:
ama: 'Mahlke S, Minge M. Consideration of Multiple Components of Emotions in Human-Technology
Interaction. In: Peter C, Beale R, eds. Affect and Emotion in HCI. Vol
4868. Lecture Notes in Computer Science. Berlin: Springer; 2008:51-62. doi:10.1007/978-3-540-85099-1_5'
apa: 'Mahlke, S., & Minge, M. (2008). Consideration of Multiple Components of
Emotions in Human-Technology Interaction. In C. Peter & R. Beale (Eds.), Affect
and Emotion in HCI (Vol. 4868, pp. 51–62). Berlin: Springer. https://doi.org/10.1007/978-3-540-85099-1_5'
bjps: 'Mahlke S and Minge M (2008) Consideration of Multiple Components of
Emotions in Human-Technology Interaction. In Peter C and Beale R (eds), Affect
and Emotion in HCI, vol. 4868. Berlin: Springer, pp. 51–62.'
chicago: 'Mahlke, Sascha, and Michael Minge. “Consideration of Multiple Components
of Emotions in Human-Technology Interaction.” In Affect and Emotion in HCI,
edited by Christian Peter and Russell Beale, 4868:51–62. Lecture Notes in Computer
Science. Berlin: Springer, 2008. https://doi.org/10.1007/978-3-540-85099-1_5.'
chicago-de: 'Mahlke, Sascha und Michael Minge. 2008. Consideration of Multiple Components
of Emotions in Human-Technology Interaction. In: Affect and Emotion in HCI,
hg. von Christian Peter und Russell Beale, 4868:51–62. Lecture Notes in Computer
Science. Berlin: Springer. doi:10.1007/978-3-540-85099-1_5,
.'
din1505-2-1: 'Mahlke, Sascha ; Minge, Michael: Consideration of Multiple
Components of Emotions in Human-Technology Interaction. In: Peter,
C. ; Beale, R. (Hrsg.): Affect
and Emotion in HCI, Lecture Notes in Computer Science. Bd. 4868. Berlin :
Springer, 2008, S. 51–62'
havard: 'S. Mahlke, M. Minge, Consideration of Multiple Components of Emotions in
Human-Technology Interaction, in: C. Peter, R. Beale (Eds.), Affect and Emotion
in HCI, Springer, Berlin, 2008: pp. 51–62.'
ieee: 'S. Mahlke and M. Minge, “Consideration of Multiple Components of Emotions
in Human-Technology Interaction,” in Affect and Emotion in HCI, vol. 4868,
C. Peter and R. Beale, Eds. Berlin: Springer, 2008, pp. 51–62.'
mla: Mahlke, Sascha, and Michael Minge. “Consideration of Multiple Components of
Emotions in Human-Technology Interaction.” Affect and Emotion in HCI, edited
by Christian Peter and Russell Beale, vol. 4868, Springer, 2008, pp. 51–62, doi:10.1007/978-3-540-85099-1_5.
short: 'S. Mahlke, M. Minge, in: C. Peter, R. Beale (Eds.), Affect and Emotion in
HCI, Springer, Berlin, 2008, pp. 51–62.'
ufg: 'Mahlke, Sascha/Minge, Michael (2008): Consideration of Multiple Components
of Emotions in Human-Technology Interaction, in: Christian Peter/Russell Beale
(Hgg.): Affect and Emotion in HCI (=Lecture Notes in Computer Science
4868), Berlin, S. 51–62.'
van: 'Mahlke S, Minge M. Consideration of Multiple Components of Emotions in Human-Technology
Interaction. In: Peter C, Beale R, editors. Affect and Emotion in HCI. Berlin:
Springer; 2008. p. 51–62. (Lecture Notes in Computer Science; vol. 4868).'
date_created: 2021-05-12T15:01:37Z
date_updated: 2023-03-15T13:50:02Z
department:
- _id: DEP1518
doi: 10.1007/978-3-540-85099-1_5
editor:
- first_name: Christian
full_name: Peter, Christian
last_name: Peter
- first_name: Russell
full_name: Beale, Russell
last_name: Beale
intvolume: ' 4868'
language:
- iso: eng
page: 51-62
place: Berlin
publication: Affect and Emotion in HCI
publication_identifier:
eisbn:
- 978-3-540-85099-1
eissn:
- 1611-3349
isbn:
- 978-3-540-85098-4
issn:
- 0302-9743
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Consideration of Multiple Components of Emotions in Human-Technology Interaction
type: book_chapter
user_id: '15514'
volume: 4868
year: 2008
...