Muntaha Sakeena
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Junior Researcher
Forschungsgruppe Media Computing
Institut für Creative\Media/Technologies - Department Medien und Digitale Technologien
Departments
- Medien und Digitale Technologien
Kurzprofil
- Since 2017. Junior Researcher at FHSTP Austria.
- 2016. Completed Masters in Computer Engineering, NUST, Pakistan
- 2012. Completed Bachelors in Computer System engineering, NFCIET, Pakistan
- research focus includes machine learning, image processing, pattern recognition and computer vision.
Projekte
Publikationen
Sakeena, M., Stumpe, E., Despotovic, M., Koch, D., & Zeppelzauer, M. (2023). On the Robustness and Generalization Ability of Building Footprint Extraction on the example of SegNet and Mask R-CNN. Journal of Remote Sensing, 15(8). https://doi.org/10.3390/rs15082135
Haltrich, M., Seidl, M., Reich, V., Weißmann, J., Jackel, C., Strebl, J., & Sakeena, M. (2023). ScribeID AI – Exploring the origins of the Klosterneuburg scriptorium using artificial intelligence. In M. Haltrich & K. Holubar (Eds.), Medialitäten von Heiligkeit (1st ed., Vol. 24, pp. 199–204). Böhlau.
Koch, D., Despotovic, M., Sascha, L., Sakeena, M., Döller, M., & Zeppelzauer, M. (2020). Real Estate Image Analysis - A Literature Review. Journal of Real Estate Literature, 27(2), 269–300. https://doi.org/10/gnt2wg
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2020). How High is the Tide? Estimation of Flood Level from Social Media. Proceedings of Joint Austrian Computer Vision and Robotics Workshop 2020, 2. https://doi.org/10/gnt2wh
Strebl, J., Slijepcevic, D., Kirchknopf, A., Sakeena, M., Seidl, M., & Zeppelzauer, M. (2019). Flood Level Estimation from Social Media Images. CEUR Proceedings of the MediaEval 2019 Workshop, 2670, 2.
Sakeena, Muntaha, & Zeppelzauer, Matthias. (2019). Combining Deep Learning and Variational Level Sets for Segmentation of Buildings. Proceedings of ARW & OAGM Workshop 2019, 2. https://doi.org/10/ghz24z
Despotovic, M., Koch, D., Leiber, S., Döller, M., Sakeena, M., & Zeppelzauer, M. (2019). Prediction and analysis of heating energy demand for detached houses by computer vision. Energy & Buildings, 193, 29–35. https://doi.org/10/fsxn
Zeppelzauer, M., Despotovic, M., Sakeena, M., Koch, D., & Döller, M. (2018). Automatic Prediction of Building Age from Photographs. Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR "18), 126–134. https://doi.org/10/ghpp2k
Ammar, M., Khawaja, S. G., Atif, A., Akram, M. U., & Sakeena, M. (2018). Learning Based Segmentation of Skin Lesion from Dermoscopic Images. 2018 IEEE 20th International Conference on E-Health Networking, Applications and Services (Healthcom), 1–6. https://doi.org/10/gh377t
Riasat, R., Sakeena, M., Sadiq, A. H., & Wang, Y.-J. (2018). Onamd: An Online Android Malware Detection Approach. 2018 International Conference on Machine Learning and Cybernetics (ICMLC), 1, 190–196. https://doi.org/10/gh377w
Sakeena, M., Riasat, R., Hassan, A., & Riaz, F. (2018). Supervised Level Sets For Dermoscopic Image Segmentation. 2018 IEEE 20th International Conference on E-Health Networking, Applications and Services (Healthcom), 1–5. https://doi.org/10/gh377x
Koch, D., Despotovic, M., Sakeena, M., Döller, M., & Zeppelzauer, M. (2018). Visual Estimation of Building Condition with Patch-level ConvNets. Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech - RETech"18, 12–17. https://doi.org/10/ghpp2m
Despotovic, M., Sakeena, M., Koch, D., Döller, M., & Zeppelzauer, M. (2017). Predicting Heating Energy Demand by Computer Vision. Computer Science - Research and Development, 33, 231–232. https://doi.org/10/gh3772
Riaz, F., Nisar, R., Hassan, A., Sakeena, M., & Azad, M. A. (2017). Estimation of Illumination Map from Dermoscopy Images for Extracting Differential Structures Using Gabor Local Mesh Patterns. 2017 International Conference on Computational Science and Computational Intelligence (CSCI), 426–431. https://doi.org/10/gh377z
Sakeena, M., Riasat, R., Sadiq, A. H., Ahmad, Z., & Riaz, F. (2017). Dermoscopic image analysis using pattern recognition techniques from region of interest (ROI) for detection of melanoma. Machine Learning and Cybernetics (ICMLC), 2017 International Conference On, 1, 162–168. https://doi.org/10/gh377r
Riasat, R., Sakeena, M., SADIQ, A. H., Chong, W., ZHANG, C., & WANG, Y. (2017). Machine Learning Approach for Malware Detection by Using APKs. DEStech Transactions on Computer Science and Engineering. https://doi.org/10/gh377v
RIASAT, R., Sakeena, M., Chong, W., SADIQ, A. H., & WANG, Y. (2016). A Survey on Android Malware Detection Techniques. DEStech Transactions on Computer Science and Engineering.
Sakeena, M. (2016). Location Tracking And Detection Of Human Using Mobile Robot And Wireless Sensor Networks. International Journal Of Engineering And Computer Science, 5. https://doi.org/10/gh377s
Riasat, R., Guangjun, N., Riasat, Z., Aslam, I., & Sakeena, M. (2016). Effects of Nanoparticles on Gastrointestinal Disorders and Therapy. https://doi.org/10/gh377p