My google scholar

List of Publications

• Deep Metric Learning

1. F. Saberi Movahed, M.K. Ebrahimpour, F. Saberi-Movahed, M. Moshavash, D. Rahmatian, M. Mohazzebi, M. Shariatzadeh, M. Eftekhari,‘‘Deep Metric Learning with Soft Orthogonal Proxies", /In BayLearn 2023.
   [paper] [longer version]

2. M.K.Ebrahimpour, G.Qian, A.Beach, ‘‘Multi-Head Deep Metric Learning Using Global and Local Representations’’, In WACV 2022.
   [paper] [longer version]

• Auditory Object Recognition

1. M.K.Ebrahimpour, S.Schneider, D.C.Noelle, C.Kello, ‘‘Infantnet: A deep neural network for analyzing infant vocalizations’’ , In arXiv 2020.
   [paper]

2. M.K.Ebrahimpour, T.M.Shea, A.Danielescu, D.C.Noelle, C.Kello, ‘‘End-to-End Auditory Object Recognition on Neuromorpic hardware chip’’, In TinyML 2020.
   [paper]

3. M.K.Ebrahimpour, T.M.Shea, A.Danielescu, D.C.Noelle, C.Kello, ‘‘End-to-End Auditory Object Recognition via Inception Nucleus’’, In ICASSP 2020.
   [paper]

• Object Detection

1. M.K.Ebrahimpour, J.B. Falandays, S.Spevack, M.H.Yang, D.C.Noelle, ‘‘WW-Nets: Dual Neural Networks for Object Detection’’, In IJCNN 2020.
   [paper]

2. M.K.Ebrahimpour, J.B.Falandays, S.Spevack, D.C.Noelle, ‘‘Do Humans Look Where Deep Convolutional Neural Networks ‘Attend’ ’’?, In CogSci 2019.
   [paper]

3. M.K.Ebrahimpour, D.C.Noelle, ‘‘Fast Object Localization via Sensitivity Analysis’’, In ISVC 2019.
   [paper]

4. M.K.Ebrahimpour, J.B.Falandays, S.Spevack, D.C.Noelle, ‘‘Do Humans Look Where Deep Convolutional Neural Networks ‘Attend’ ’’?, In ISVC 2019.
   [paper]

5. J.Li, M.K.Ebrahimpour, Y.Y.Yu, ‘‘Image Captioning with Weakly-Supervised Attention Penalty’’, In CVPRW 2019.
   [paper]

6. M.K.Ebrahimpour, J.Li, Y.Y.Yu, J.Reese, A.Moghtaderi, M.H,Yang, D.C. Noelle, ‘‘Ventral-Dorsal Networks: Object Detection via Selective Attention’’, In WACV 2019.
   [paper][implementation]

7. M.K.Ebrahimpour, D.C.Noelle, ‘‘Weakly Supervised Object Localization via Sensitivity Analysis’’, In CVPRW 2018.
   [paper]

• Optimization

1. M.K.Ebrahimpour, H.Nezamabadi-pour, M.Eftekhari, ‘‘CCFS: A Cooperation Coevolution Techniques for Large Scale Feature Selection on Microarray Datasets’’, In Computational Biology and Chemistry 2017.
   [paper][implementation]

• Dimensionality Reduction

1. M.K.Ebrahimpour, H.Mirvaziri, and V.Sattari-Naeini, ‘‘Improving Breast Cancer Classification by Dimensional Reduction on Mammograms’’, In Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 2017.
   [paper] [implementation]

• Feature Selection

1. M.K.Ebrahimpour, M.Eftekhari, ‘‘MCMR: Maximum Consistency Minimum Redundancy for Microarray High-Dimensional Feature Selection’’, In Pattern Recognition 2017
   [paper]

2. M.K.Ebrahimpour, M.Eftekhari, ‘‘Distributed Feature Selection: A Hesitant Fuzzy Correlation Concept for Microarray High-Dimensional Datasets’’, In Chemometrics and Intelligent Laboratory Systems 2018.
   [paper][implementation]
   

3. M.K.Ebrahimpour, M.Eftekhari, ‘‘Occam’s Razor in Dimension Reduction: Using Reduced Row Echelon Form for Finding Linear Independent Features for High Dimensional Feature Selection’’, In Engineering Applications of Artificial Intelligence 2017.
   [paper][implementation]
   

4. M.K.Ebrahimpour, M.Eftekhari, ‘‘Ensemble of Feature Subset Selection Methods: A Hesitant Fuzzy Set Approach’’, In Applied Soft Computing 2017.
   [paper][implementation]
   

5. M.K.Ebrahimpour, M.Eftekari, ‘‘Feature Subset selection using Information Energy and correlation coefficients of hesitant fuzzy sets’’, InInternational Conference on Information and Knowledge Technology (IKT 2015).
   [paper]
   

6. M.K.Ebrahimpour, M.Eftekhari, ‘‘Proposing a Novel Feature Selection Algorithm based on Hesitant Fuzzy Sets and Correlation Concepts’’, In Artificial Intelligence and Signal Processing (AISP 2015).
   [paper]
   

• Ensemble Learning

1. N.A.Abolkarlou, A.A.Niknafs, M.K.Ebrahimpour, ‘‘Ensemble Imbalanced Classification: Using Data Preprocessing, Clustering Algorithm and Genetic Algorithm’’, In Computer and Knowledge Engineering (ICCKE 2014).
   [paper]
   

2. N.Afshari, M.K.Ebrahimpour, A.A.Niknafs, ‘‘Improving the Ensemble Classifiers based on Clustering Approaches and Genetic Algorithm’’, In International conference on information Technology and Computer 2014.