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Journal Articles
- 2023
[j8]Bilal Taha
, Sherif Nagib Abbas Seha, Dae Yon Hwang, Dimitrios Hatzinakos:
EyeDrive: A Deep Learning Model for Continuous Driver Authentication. IEEE J. Sel. Top. Signal Process. 17(3): 637-647 (2023)- 2022
- [j7]Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos:
A New Score Level Fusion Approach for Stable User Verification System Using the PPG Signal. J. Signal Process. Syst. 94(8): 787-798 (2022) - 2021
- [j6]Fatma Outay, Bilal Taha, Hazar Chaabani, Faouzi Kamoun, Naoufel Werghi, Ansar-Ul-Haque Yasar:
Estimating ambient visibility in the presence of fog: a deep convolutional neural network approach. Pers. Ubiquitous Comput. 25(1): 51-62 (2021) - [j5]Dae Yon Hwang, Bilal Taha, Da Saem Lee, Dimitrios Hatzinakos:
Evaluation of the Time Stability and Uniqueness in PPG-Based Biometric System. IEEE Trans. Inf. Forensics Secur. 16: 116-130 (2021) - [j4]Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos:
PBGAN: Learning PPG Representations From GAN for Time-Stable and Unique Verification System. IEEE Trans. Inf. Forensics Secur. 16: 5124-5137 (2021) - 2020
- [j3]Bilal Taha, Munawar Hayat, Stefano Berretti, Dimitrios Hatzinakos, Naoufel Werghi:
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2900-2916 (2020) - 2019
- [j2]Bilal Taha, Abdulhadi Shoufan:
Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research. IEEE Access 7: 138669-138682 (2019) - [j1]Esra Alhadhrami, Maha Al-Mufti, Bilal Taha, Naoufel Werghi:
Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images. IEEE Access 7: 139377-139387 (2019)
Conference and Workshop Papers
- 2024
- [c15]Yuxin Zhi, Bilal Taha, Dimitrios Hatzinakos:
Investigating Bias in Affective State Detection Using Eye Biometrics (short paper). ML4CMH@AAAI 2024: 94-100 - [c14]Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev:
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval. EMNLP 2024: 18971-18982 - 2023
- [c13]Dae Yon Hwang, Bilal Taha, Yaroslav Nechaev:
EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding. ACL (Findings) 2023: 9863-9879 - [c12]Bilal Taha, Dae Yon Hwang, Dimitrios Hatzinakos:
EEG Emotion Recognition Via Ensemble Learning Representations. ICASSP 2023: 1-5 - 2021
- [c11]Bilal Taha, Megan Kirk, Paul Ritvo, Dimitrios Hatzinakos:
Detection of Post-Traumatic Stress Disorder Using Learned Time-Frequency Representations from Pupillometry. ICASSP 2021: 3950-3954 - [c10]Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos:
Variation-Stable Fusion for PPG-Based Biometric System. ICASSP 2021: 8042-8046 - 2020
- [c9]Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi:
Fused Geometry Augmented Images For Analyzing Textured Mesh. ICIP 2020: 2651-2655 - 2019
- [c8]Bilal Taha, Dimitrios Hatzinakos:
Emotion Recognition from 2D Facial Expressions. CCECE 2019: 1-4 - [c7]Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi:
Fused Geometry Augmented Images for Analyzing Textured Mesh. ICSM 2019: 3-12 - 2018
- [c6]Hazar Chaabani, Naoufel Werghi, Faouzi Kamoun, Bilal Taha, Fatma Outay, Ansar-Ul-Haque Yasar:
Estimating meteorological visibility range under foggy weather conditions: A deep learning approach. EUSPN/ICTH 2018: 478-483 - 2017
- [c5]Bilal Taha, Lilas Alrahis, Tasneem Assaf, Hani H. Saleh, Naoufel Werghi, Thanos Stouraitis:
Application-specific processor for local-binary-patterns generation. ICECS 2017: 466-469 - [c4]Bilal Taha, Jorge Dias, Naoufel Werghi:
Convolutional neural networkasa feature extractor for automatic polyp detection. ICIP 2017: 2060-2064 - [c3]Bilal Taha, Jorge Dias, Naoufel Werghi:
Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach. MIUA 2017: 261-272 - 2015
- [c2]Abdullah Al-Shabili, Bilal Taha, Hadeel Elayan, Fatima Al-Ogaili, Leen Alhalabi, Luis Weruaga, Shihab Jimaa:
Sparse NLMS adaptive algorithms for multipath wireless channel estimation. WiMob 2015: 839-844 - [c1]Fatimah Al-Ogaili, Hadeel Elayan, Leen Alhalabi, Abdullah Al-Shabili, Bilal Taha, Luis Weruaga, Shihab Jimaa:
Leveraging the ℓ1-LS criterion for OFDM sparse wireless channel estimation. WiMob 2015: 845-849
Informal and Other Publications
- 2024
- [i4]Ensieh Khazaei, Alireza Esmaeilzehi, Bilal Taha, Dimitrios Hatzinakos:
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering. CoRR abs/2407.12287 (2024) - [i3]Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev:
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval. CoRR abs/2410.18385 (2024) - [i2]Xue Xian Zheng, M. M. Ur Rahma, Bilal Taha, Mudassir Masood, Dimitrios Hatzinakos, Tareq Y. Al-Naffouri:
Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion. CoRR abs/2412.05660 (2024) - 2019
- [i1]Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi:
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection. CoRR abs/1904.04297 (2019)
Coauthor Index
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