Andrew Karem
Asst Professor
Education
- B.A. in Computer Science, Rice University, 2002
- M.S. in Computer Science, University of Louisville, 2007
- Ph.D. in Computer Science, Engineer, University of Louisville, 2019
Publications
Journal Articles
- Baili, N., Moalla, M., Frigui, H. & Karem, A., D. (2022). Multistage approach for automatic target detection and recognition in infrared imagery using deep learning. Journal of Applied Remote Sensing, 16(4), 048505
- Frigui, H., Fadeev, A., Karem, A. & Gader, P. (2009). Adaptive edge histogram descriptor for landmine detection using GPR. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV, 7303
- Frigui, H., Khmaissia, F. & Karem, A. (2019). Feature extraction for predicting the probability of detecting buried explosive objects using GPR data. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 11012
- Karem, A. & Frigui, H. (2011). A multiple instance learning approach for landmine detection using ground penetrating radar. 2011 IEEE International Geoscience and Remote Sensing Symposium
- Karem, A. & Frigui, H. (2015). Fuzzy clustering of multiple instance data. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
- Karem, A. & Frigui, H. (2016). Multiple Instance Learning with multiple positive and negative target concepts. 2016 23rd International Conference on Pattern Recognition (ICPR)
- Karem, A. & Frigui, H. (2019). A comparative analysis of the SVM and K-NN to detect buried explosive objects using edge histogram features from GPR data. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, 11012
- Karem, A., D. (2019). Clustering of multiple instance data..
- Karem, A., Fadeev, A., Frigui, H. & Gader, P. (2010). Comparison of different classification algorithms for landmine detection using GPR. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 7664
- Karem, A., Khalifa, A., B. & Frigui, H. (2016). A fisher vector representation of GPR data for detecting buried objects. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 9823
- Karem, A., Trabelsi, M., Moalla, M. & Frigui, H. (2018). Comparison of several single and multiple instance learning methods for detecting buried explosive objects using GPR data. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIII, 10628
- Malof, J., M., Reichman, D., Karem, A., Frigui, H., Ho, K., C., Wilson, J., N., Lee, W., Cummings, W., J. & Collins, L., M. (2019). A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6929--6945
- Moalla, M., Frigui, H., Karem, A. & Bouzid, A. (2020). Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7022--7034
More about Andrew Karem
2023
Spring
- CSE 302 - DATA STRUCTURES
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 593 - IND STUDY IN CECS
- CSE 532 - PYTHON & DATA ANALYTICS
- CSE 532 - PYTHON & DATA ANALYTICS
2022
Spring
- CSE 302 - DATA STRUCTURES
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 590 - SPECIAL TOPICS - CECS
- CSE 590 - SPECIAL TOPICS - CECS
- CSE 593 - IND STUDY IN CECS
Summer
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 310 - DISCRETE STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 310 - DISCRETE STRUCTURES
Fall
- CSE 302 - DATA STRUCTURES
- CSE 302 - DATA STRUCTURES
- CSE 310 - DISCRETE STRUCTURES
- CSE 310 - DISCRETE STRUCTURES
- CSE 335 - INTRODUCTION TO DATABASE
- CSE 335 - INTRODUCTION TO DATABASE
2021
Spring
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 590 - SPECIAL TOPICS - CECS
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 590 - SPECIAL TOPICS - CECS
Summer
- CSE 310 - DISCRETE STRUCTURES
- CSE 310 - DISCRETE STRUCTURES
- CSE 535 - DATABASE SYSTEMS
- CSE 535 - DATABASE SYSTEMS
Fall
- CSE 302 - DATA STRUCTURES
- CSE 310 - DISCRETE STRUCTURES
- CSE 335 - INTRODUCTION TO DATABASE
- CSE 302 - DATA STRUCTURES
- CSE 310 - DISCRETE STRUCTURES
- CSE 335 - INTRODUCTION TO DATABASE
2020
Spring
- CECS 302 - DATA STRUCTURES
- CECS 302 - DATA STRUCTURES
Fall
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
- CSE 302 - DATA STRUCTURES
- CSE 220 - OO PROG DSGN WITH JAVA
Summer
- CSE 310 - DISCRETE STRUCTURES
- CSE 535 - INTRO TO DATABASES
- CSE 310 - DISCRETE STRUCTURES
- CSE 535 - INTRO TO DATABASES