Tuğba Taşkaya Temizel

E-mail
ttemizel@metu.edu.tr
Department
Graduate School of Informatics
Scopus Author ID
Web of Science Researcher ID
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System
ÇAVDAR, ŞEYMA; Taşkaya Temizel, Tuğba; Musolesi, Mirco; Tino, Peter (2020-03-01)
In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifica...
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting
Ertuğrul, Ali Mert; Lin, Yu Ru; Taşkaya Temizel, Tuğba (2019-09-20)
Opioid overdose is a growing public health crisis in the United States. This crisis, recognized as “opioid epidemic,” has widespread societal consequences including the degradation of health, and the increase in crime rat...
Policy Implications of the D4R Challenge
Salah, Albert Ali; Altuncu, M. Tarık; Balcısoy, Selim Saffet; Frydenlund, Erika; Mamei, Marco; Akyol, Mehmet Ali; Arslanlı, Kerem Yavuz; Bensason, Ivon; Boshuijzen-van Burken, Christine; Bosetti, Paolo; Boy, Jeremy; Bozcaga, Tugba; Cılasun, Seyit Mümin; Işık, Oğuz; Kalaycıoğlu, Hediye Sibel; Kaptaner, Ayse Seyyide; Kayi, Ilker; Kılıç, Özgün Ozan; Kjamili, Berat; Kucukali, Huseyin; Martin, Aaron; Lippi, Marco; Pancotto, Francesca; Rhoads, Daniel; Sevencan, Nur; Sezgin, Ervin; Solé-ribalta, Albert; Sterly, Harald; Sürer, Elif; Taşkaya Temizel, Tuğba; Tümen, Semih; Uluturk, Ismail (Springer, 2019-09-01)
The Data for Refugees (D4R) Challenge resulted in many insights related to the movement patterns of the Syrian refugees within Turkey. In this chapter, we summarize some of the important findings, and suggest policy recomm...
The use of big mobile data to gain multilayered insights for Syrian refugee crisis
Kılıç, Özgün Ozan; Akyol, Mehmet Ali; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Sürer, Elif; Düzgün, Hafize Şebnem; Kalaycıoğlu, Hediye Sibel; Taşkaya Temizel, Tuğba (Springer, 2019-09-01)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, enriched with numerous local data sets. To achieve this, we made use of several statistical and ...
Sosyal Fayda için Büyük Veri Analizi: Suriyeli Mülteciler için bir Durum Çalışması
Akyol, Mehmet Ali; Kılıç, Özgün Ozan; Taşkaya Temizel, Tuğba; Aydınoğlu, Arsev Umur; Sürer, Elif (2019-06-01)
Sosyal Fayda için Büyük Veri Analizi: Suriyeli Mülteciler için bir Durum Çalışması
Akyol, Mehmet Ali; Kılıç, Özgün Ozan; Taşkaya Temizel, Tuğba; Aydınoğlu, Arsev Umur; Sürer, Elif (2019-06-01)
Data Analytics without Borders: Multi-Layered Insights for Syrian Refugee Crisis
Kılıç, Özgün Ozan; Akyol, Mehmet Ali; Işık, Oğuz; Günel Kılıç, Banu; Aydınoğlu, Arsev Umur; Sürer, Elif; Düzgün, Şebnem; Kalaycıoğlu, Sibel; Taşkaya Temizel, Tuğba (2019-01-21)
This study aims to shed light on various aspects of refugees’ lives in Turkey using mobile call data records of Türk Telekom, which is enriched with numerous local data sets. To achieve this, we made use of several techniq...
New Techniques in Profiling Big Datasets for Machine Learning with a Concise Review of Android Mobile Malware Datasets
CANBEK, Gurol; SAĞIROĞLU, ŞEREF; Taşkaya Temizel, Tuğba (2018-12-04)
As the volume, variety, velocity aspects of big data are increasing, the other aspects such as veracity, value, variability, and venue could not be interpreted easily by data owners or researchers. The aspects are also unc...
How clickable are your food photos?
Kumdakçı, Hilmi; Taşkaya Temizel, Tuğba; Temizel, Alptekin (null; 2018-10-11)
Many people view the food photos available in social media when choosing a restaurant. The attractiveness of these photos is an important factor in shaping initial impressions about a restaurant. There are some properties ...
JPEG2000 as a defense against attacks using adversarial examples
Gündüz, Ayşe Elvan; Temizel, Alptekin; Taşkaya Temizel, Tuğba (null; 2018-10-11)
Adversarial examples have a negative effect on the performance of classifiers which have otherwise good performance on undisturbed images. These examples are generated by adding non-random noise to the test samples in orde...
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