| A large-scale multi-institutional evaluation of advanced discrimination algorithms for buried threat detection in ground penetrating radar JM Malof, D Reichman, A Karem, H Frigui, KC Ho, JN Wilson, WH Lee, ... IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6929-6945, 2019 | 43 | 2019 |
| Application of convolutional and recurrent neural networks for buried threat detection using ground penetrating radar data M Moalla, H Frigui, A Karem, A Bouzid IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7022-7034, 2020 | 32 | 2020 |
| A fisher vector representation of GPR data for detecting buried objects A Karem, AB Khalifa, H Frigui Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI …, 2016 | 18 | 2016 |
| A multiple instance learning approach for landmine detection using ground penetrating radar A Karem, H Frigui 2011 IEEE International Geoscience and Remote Sensing Symposium, 878-881, 2011 | 18 | 2011 |
| Comparison of different classification algorithms for landmine detection using GPR A Karem, A Fadeev, H Frigui, P Gader Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV …, 2010 | 18 | 2010 |
| Fuzzy clustering of multiple instance data A Karem, H Frigui 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2015 | 7 | 2015 |
| A comparative analysis of the SVM and K-NN to detect buried explosive objects using edge histogram features from GPR data A Karem, H Frigui Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019 | 6 | 2019 |
| Adaptive edge histogram descriptor for landmine detection using GPR H Frigui, A Fadeev, A Karem, P Gader Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIV …, 2009 | 5 | 2009 |
| Multistage approach for automatic target detection and recognition in infrared imagery using deep learning N Baili, M Moalla, H Frigui, AD Karem Journal of Applied Remote Sensing 16 (4), 048505-048505, 2022 | 2 | 2022 |
| Comparison of several single and multiple instance learning methods for detecting buried explosive objects using gpr data A Karem, M Trabelsi, M Moalla, H Frigui Detection and sensing of mines, explosive objects, and obscured targets …, 2018 | 2 | 2018 |
| Multiple Instance Learning with multiple positive and negative target concepts A Karem, H Frigui 2016 23rd International Conference on Pattern Recognition (ICPR), 474-479, 2016 | 2 | 2016 |
| Feature extraction for predicting the probability of detecting buried explosive objects using GPR data H Frigui, F Khmaissia, A Karem Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019 | | 2019 |
| Clustering of multiple instance data. AD Karem | | 2019 |
