Bilal Taha

According to our database, Bilal Taha authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering.

Ensieh Khazaei, Alireza Esmaeilzehi, Bilal Taha, Dimitrios Hatzinakos

CoRR, 2024

Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval.

Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Investigating Bias in Affective State Detection Using Eye Biometrics (short paper).

Yuxin Zhi, Bilal Taha, Dimitrios Hatzinakos

Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023

EyeDrive: A Deep Learning Model for Continuous Driver Authentication.

Bilal Taha, Sherif Nagib Abbas Seha, Dae Yon Hwang, Dimitrios Hatzinakos

IEEE J. Sel. Top. Signal Process., May, 2023

EEG Emotion Recognition Via Ensemble Learning Representations.

Bilal Taha, Dae Yon Hwang, Dimitrios Hatzinakos

Proceedings of the IEEE International Conference on Acoustics, 2023

EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding.

Dae Yon Hwang, Bilal Taha, Yaroslav Nechaev

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A New Score Level Fusion Approach for Stable User Verification System Using the PPG Signal.

Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos

J. Signal Process. Syst., 2022

2021

Evaluation of the Time Stability and Uniqueness in PPG-Based Biometric System.

Dae Yon Hwang, Bilal Taha, Da Saem Lee, Dimitrios Hatzinakos

IEEE Trans. Inf. Forensics Secur., 2021

PBGAN: Learning PPG Representations From GAN for Time-Stable and Unique Verification System.

Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos

IEEE Trans. Inf. Forensics Secur., 2021

Estimating ambient visibility in the presence of fog: a deep convolutional neural network approach.

Fatma Outay, Bilal Taha, Hazar Chaabani, Faouzi Kamoun, Naoufel Werghi, Ansar-Ul-Haque Yasar

Pers. Ubiquitous Comput., 2021

Detection of Post-Traumatic Stress Disorder Using Learned Time-Frequency Representations from Pupillometry.

Bilal Taha, Megan Kirk, Paul Ritvo, Dimitrios Hatzinakos

Proceedings of the IEEE International Conference on Acoustics, 2021

Variation-Stable Fusion for PPG-Based Biometric System.

Dae Yon Hwang, Bilal Taha, Dimitrios Hatzinakos

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection.

Bilal Taha, Munawar Hayat, Stefano Berretti, Dimitrios Hatzinakos, Naoufel Werghi

IEEE Trans. Circuits Syst. Video Technol., 2020

2019

Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection.

Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi

CoRR, 2019

Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research.

Bilal Taha, Abdulhadi Shoufan

IEEE Access, 2019

Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images.

Esra Alhadhrami, Maha Al-Mufti, Bilal Taha, Naoufel Werghi

IEEE Access, 2019

Fused Geometry Augmented Images for Analyzing Textured Mesh.

Bilal Taha, Munawar Hayat, Stefano Berretti, Naoufel Werghi

Proceedings of the Smart Multimedia - Second International Conference, 2019

Emotion Recognition from 2D Facial Expressions.

Bilal Taha, Dimitrios Hatzinakos

Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018

Estimating meteorological visibility range under foggy weather conditions: A deep learning approach.

Hazar Chaabani, Naoufel Werghi, Faouzi Kamoun, Bilal Taha, Fatma Outay, Ansar-Ul-Haque Yasar

Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

2017

Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach.

Bilal Taha, Jorge Dias, Naoufel Werghi

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Convolutional neural networkasa feature extractor for automatic polyp detection.

Bilal Taha, Jorge Dias, Naoufel Werghi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Application-specific processor for local-binary-patterns generation.

Bilal Taha, Lilas Alrahis, Tasneem Assaf, Hani H. Saleh, Naoufel Werghi, Thanos Stouraitis

Proceedings of the 24th IEEE International Conference on Electronics, Circuits and Systems, 2017

2015

Sparse NLMS adaptive algorithms for multipath wireless channel estimation.

Abdullah Al-Shabili, Bilal Taha, Hadeel Elayan, Fatima Al-Ogaili, Leen Alhalabi, Luis Weruaga, Shihab Jimaa

Proceedings of the 11th IEEE International Conference on Wireless and Mobile Computing, 2015

Leveraging the ℓ1-LS criterion for OFDM sparse wireless channel estimation.

Fatimah Al-Ogaili, Hadeel Elayan, Leen Alhalabi, Abdullah Al-Shabili, Bilal Taha, Luis Weruaga, Shihab Jimaa

Proceedings of the 11th IEEE International Conference on Wireless and Mobile Computing, 2015