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Muhammed Demirci, PhD

Associate Professor

  • 0 Citations
  • 0 h-Index
20192021
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  • 2 Similar Profiles
Trading Strategies Mathematics
Triangle inequality Mathematics
Object recognition Engineering & Materials Science
Neural Networks Mathematics
Forecasting Mathematics
Distance Matrix Mathematics
Metric Mathematics
Learning algorithms Engineering & Materials Science

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Projects 2019 2021

Forming Reliable Feature Correspondences and Distortion-free Graph Embedding with Deep Learning

Demirci, M.

1/31/19 → 12/31/21

Project: Research project

Image retrieval
Deep learning

Research Output 2019 2019

  • 2 Conference contribution
  • 1 Article

Financial Forecasting using Deep Learning with an Optimized Trading Strategy

Maratkhan, A., Ilyassov, I., Aitzhanov, M., Demirci, M. F. & Ozbayoglu, M., Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 838-844 7 p. 8789932. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Trading Strategies
Forecasting
Neural Networks
Neural networks
Hyperparameters

Object recognition based on critical nodes

Boluk, A. & Demirci, M. F., Feb 5 2019, In : Pattern Analysis and Applications. 22, 1, p. 147-163 17 p.

Research output: Contribution to journal › Article

Object recognition
Learning algorithms
Learning systems
Experiments

On Approximating Metric Nearness Through Deep Learning

Gabidolla, M., Iskakov, A., Demirci, M. F. & Yazici, A., Jan 1 2019, Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Proceedings. Zurada, J. M., Pedrycz, W., Rutkowski, L., Scherer, R., Korytkowski, M. & Tadeusiewicz, R. (eds.). Springer Verlag, p. 62-72 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11508 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Triangle inequality
Distance Matrix
Metric
Data Clustering
Dissimilarity