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ORCIDTahir Qasim Syed
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2020 – today
- 2026
[c14]A. H. Ahamada, Aurélien Hazan, Hichem Maaref, Tahir Q. Syed, Vincent Vigneron:
Tensor Decomposition-Driven Variational Autoencoder: Biomarker-Aware OCT Classification. BIOSTEC (1) 2026: 263-270- [i16]Tahir Qasim Syed, Behraj Khan:
Rethinking Test-Time Training: Tilting The Latent Distribution For Few-Shot Source-Free Adaptation. CoRR abs/2602.02633 (2026) - [i15]Hiba Azeem, Behraj Khan, Tahir Qasim Syed:
Clinically-aligned ischemic stroke segmentation and ASPECTS scoring on NCCT imaging using a slice-gated loss on foundation representations. CoRR abs/2602.23961 (2026) - [i14]Annayah Usman, Behraj Khan, Tahir Qasim Syed:
Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images. CoRR abs/2602.23962 (2026) - 2025
- [j9]Behraj Khan
, Tahir Qasim Syed, Behroz Mirza, Muhammad Nouman Durrani:
Mitigating covariate shift in non-colocated data with learned parameter priors. Neurocomputing 658: 131656 (2025) - [c13]Behraj Khan, Rizwan Qureshi, Nouman M. Durrani, Tahir Qasim Syed:
Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models. CVPR Workshops 2025: 6511-6523 - [c12]Ayesha Amjad, Saurav Sthapit, Tahir Qasim Syed:
An Agentic System with Reinforcement-Learned Subsystem Improvements for Parsing Form-Like Documents. EMAS 2025: 27-44 - [c11]Shabir Ahmad, Sheeraz Ahmad, Sujeong Kim, Behraj Khan, Tahir Qasim Syed, Junwon Chung:
Human-in-the-Loop Active Learning for Real-Time Endoscopic Diagnostics on Edge Devices. EMA4MICCAI 2025: 123-132 - [i13]Behraj Khan, Tahir Syed:
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models. CoRR abs/2501.17595 (2025) - [i12]Behraj Khan, Rizwan Qureshi, Tahir Syed:
Technical note on calibrating vision-language models under covariate shift. CoRR abs/2502.07847 (2025) - [i11]Tahir Syed, Ariba Khan, Sawera Hanif:
Latents of latents to delineate pixels: hybrid Matryoshka autoencoder-to-U-Net pairing for segmenting large medical images in GPU-poor and low-data regimes. CoRR abs/2502.08988 (2025) - [i10]Annayah Usman, Abdul Haseeb, Tahir Syed:
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions. CoRR abs/2502.09148 (2025) - [i9]Behraj Khan, Behroz Mirza, Tahir Syed:
Causal Covariate Shift Correction using Fisher information penalty. CoRR abs/2502.15756 (2025) - [i8]Ayesha Amjad, Saurav Sthapit, Tahir Qasim Syed:
An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents. CoRR abs/2505.13504 (2025) - [i7]Behraj Khan, Tahir Qasim Syed, Nouman M. Durrani, Bilal Naseem, Shabir Ahmad, Rizwan Qureshi:
Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift. CoRR abs/2507.09222 (2025) - [i6]Behraj Khan, Tahir Qasim Syed, Muhammad Nouman Durrani:
Adapting to Fragmented and Evolving Data: A Fisher Information Perspective. CoRR abs/2507.18996 (2025) - [i5]Behraj Khan, Tahir Qasim Syed:
Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift. CoRR abs/2509.23176 (2025) - [i4]Behraj Khan, Tahir Qasim Syed:
Technical note on Fisher Information for Robust Federated Cross-Validation. CoRR abs/2510.03838 (2025) - [i3]Behraj Khan, Tahir Qasim Syed:
Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting. CoRR abs/2510.03839 (2025) - 2024
- [c10]Behraj Khan, Behroz Mirza, Tahir Syed:
Causal Covariate Shift Correction using Fisher information penalty. Tiny Papers @ ICLR 2024 - [i2]Behraj Khan, Tahir Syed, Zeshan Khan, Muhammad Rafi:
Textual analysis of End User License Agreement for red-flagging potentially malicious software. CoRR abs/2403.09715 (2024) - [i1]Behraj Khan, Behroz Mirza, Nouman M. Durrani, Tahir Syed:
Mitigating covariate shift in non-colocated data with learned parameter priors. CoRR abs/2411.06499 (2024) - 2023
- [j8]Tahir Syed, Behroz Mirza:
Self-supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext. ACM Trans. Knowl. Discov. Data 17(9): 122:1-122:17 (2023) - 2022
- [j7]Behroz Mirza, Tahir Q. Syed, Behraj Khan, Muhammad Yameen Malik:
Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges - A Practitioners' Cookbook. ACM Comput. Surv. 54(1): 10:1-10:39 (2022) - [j6]Syed Muhammad Hur Rizvi, Tahir Syed, Jalaluddin Qureshi:
Real-time forecasting of petrol retail using dilated causal CNNs. J. Ambient Intell. Humaniz. Comput. 13(2): 989-1000 (2022) - 2021
- [j5]Behroz Mirza, Danish Haroon, Behraj Khan, Ali Padhani, Tahir Q. Syed:
Deep Generative Models to Counter Class Imbalance: A Model-Metric Mapping With Proportion Calibration Methodology. IEEE Access 9: 55879-55897 (2021) - [j4]Vincent Vigneron, Hichem Maaref, Tahir Q. Syed:
A New Pooling Approach Based on Zeckendorf's Theorem for Texture Transfer Information. Entropy 23(3): 279 (2021)
2010 – 2019
- 2019
- [c9]Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed:
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. ACML 2019: 822-835 - 2018
- [c8]Alishan K. Merchant, Tahir Q. Syed, Behraj Khan, Rumaisah Munir:
Appearance-based data augmentation for image datasets using contrast preserving sampling. ICPR 2018: 1235-1240 - 2017
- [j3]Tahir Q. Syed, Behraj Khan, Faraz Shams, Muhammad Faizan Khan, Sadaf I. Behlim, Hasina Khatoon, Zubair Shaikh:
A robust strategy for automated negotiations. Multiagent Grid Syst. 13(1): 1-17 (2017) - [c7]Akber Rajwani, Tahir Q. Syed, Behraj Khan, Sadaf I. Behlim:
Regression Analysis for ATM Cash Flow Prediction. FIT 2017: 212-217 - [c6]Vincent Vigneron, Tahir Q. Syed, Leonardo Tomazeli Duarte, Elmar Wolfgang Lang, Sadaf I. Behlim, Ana Maria Tomé:
Z-Images. IbPRIA 2017: 177-184 - 2016
- [j2]Sadaf Iqbal Behlim, Tahir Qasim Syed, Muhammad Yameen Malik, Vincent Vigneron:
Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns. J. Electronic Imaging 25(6): 61616 (2016) - [c5]Atika Burney, Tahir Q. Syed:
Crowd Video Classification Using Convolutional Neural Networks. FIT 2016: 247-251 - 2015
- [c4]Vincent Vigneron, Tahir Q. Syed, Hsin Chen:
Automatic Detection of High-voltage Spindles for Parkinson's Disease. BIOSIGNALS 2015: 372-378 - [c3]Tahir Q. Syed, Sadaf I. Behlim, Alishan K. Merchant, Alexis Thomas, Furqan M. Khan:
Leveraging Mutual Information in Local Descriptions: From Local Binary Patterns to the Image. ICIAP (2) 2015: 239-251 - [c2]Wajeeta Lohana, Jawwad A. Shamsi, Tahir Q. Syed, Farrukh Hasan:
Towards Context-Aware DNA Sequence Compression for Efficient Data Exchange. IPDPS Workshops 2015: 357-366 - 2014
- [c1]Sadaf I. Behlim, Tahir Q. Syed:
3D facial reconstruction from a single 2D rasterstereography image. IPTA 2014: 303-307 - 2011
- [b1]Tahir Qasim Syed:
Analyse du potentiel migratoire de cellules cancéreuses par prétraitement, segmentation et classification d'images. (Analysis of the migratory potential of cancerous cells by image preprocessing, segmentation and classification). University of Évry Val d'Essonne, France, 2011 - 2010
- [j1]Vincent Vigneron, Tahir Q. Syed, Georgia Barlovatz-Meimon, Michel Malo, Christophe Montagne, Sylvie Lelandais:
Adaptive filtering and hypothesis testing: Application to cancerous cells detection. Pattern Recognit. Lett. 31(14): 2214-2224 (2010)
Coauthor Index
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last updated on 2026-04-17 00:25 CEST by the dblp team
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