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2020 – today
- 2024
[i3]Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers:
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. CoRR abs/2404.05290 (2024)- [i2]Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers:
Adapting to time: why nature evolved a diverse set of neurons. CoRR abs/2404.14325 (2024) - 2023
- [j1]Xikai Tang
, Karim Habashy, Fangzheng Huang, Chao Li, Dayan Ban:
SCA-Net: Spatial and channel attention-based network for 3D point clouds. Comput. Vis. Image Underst. 232: 103690 (2023) - 2022
- [c2]Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. IEEE Big Data 2022: 1729-1739 - [c1]Karim Habashy, Julio J. Valdés, Madison Cohen-McFarlane, Pengcheng Xi, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification Using Audio Spectrogram Transformer. SAS 2022: 1-6 - [i1]Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR abs/2207.09312 (2022)
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