Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Other or Unknown Education in Technology, Lower-Degree Level Tertiary Education, Izmir University of Economics
Award Date: 16 Jun 2017
Master of Science (Technology), Information Technology, Tampere University
… → 19 Jun 2019
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Dive into the research topics where Mete Ahishali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
Yamac, M., Ahishali, M., Kiranyaz, S. & Gabbouj, M., 2023, In: IEEE Transactions on Neural Networks and Learning Systems . 34, 1, p. 290 - 304 15 p., 9484349.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Downloads (Pure) -
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Kilickaya, S., Ahishali, M., Sohrab, F., Ince, T. & Gabbouj, M., 28 Aug 2023, 2023 PhotonIcs & Electromagnetics Research Symposium (PIERS): Proceedings. p. 953-959 (Progress in Electromagnetics Research Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Improved Active Fire Detection Using Operational U-nets
Devecioglu, Ö., Ahishali, M., Sohrab, F., Ince, T. & Gabbouj, M., 28 Aug 2023, Progress in Electromagnetic Research Symposium.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Representation based regression for object distance estimation
Ahishali, M., Yamac, M., Kiranyaz, S. & Gabbouj, M., Jan 2023, In: Neural Networks. 158, p. 15-29 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Downloads (Pure) -
Medical image analysis
Degerli, A., Yamac, M., Ahishali, M., Kiranyaz, S. & Gabbouj, M., 2022, Deep Learning for Robot Perception and Cognition. Iosifidis, A. & Tefas, A. (eds.). Academic Press, p. 541-577 37 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review