Adaptive filtering and hypothesis testing: Application to cancerous cells detection. - Vincent Vigneron; Tahir Q. Syed; Georgia Barlovatz-Meimon; Michel Malo; Christophe Montagne; Sylvie Lelandais (Pattern Recognit. Lett., 2010)

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). - Tahir Qasim Syed (2011)

3D facial reconstruction from a single 2D rasterstereography image. - Sadaf I. Behlim; Tahir Q. Syed (IPTA, 2014)

Automatic Detection of High-voltage Spindles for Parkinson's Disease. - Vincent Vigneron; Tahir Q. Syed; Hsin Chen (BIOSIGNALS, 2015)

Leveraging Mutual Information in Local Descriptions: From Local Binary Patterns to the Image. - Tahir Q. Syed; Sadaf I. Behlim; Alishan K. Merchant; Alexis Thomas; Furqan M. Khan (ICIAP (2), 2015)

Towards Context-Aware DNA Sequence Compression for Efficient Data Exchange. - Wajeeta Lohana; Jawwad A. Shamsi; Tahir Q. Syed; Farrukh Hasan (IPDPS Workshops, 2015)

Crowd Video Classification Using Convolutional Neural Networks. - Atika Burney; Tahir Q. Syed (FIT, 2016)

Perceptually relevant grouping of image tokens on the basis of constraint propagation from local binary patterns. - Sadaf Iqbal Behlim; Tahir Qasim Syed; Muhammad Yameen Malik; Vincent Vigneron (J. Electronic Imaging, 2016)

Regression Analysis for ATM Cash Flow Prediction. - Akber Rajwani; Tahir Q. Syed; Behraj Khan; Sadaf I. Behlim (FIT, 2017)

Z-Images. - Vincent Vigneron; Tahir Q. Syed; Leonardo Tomazeli Duarte; Elmar Wolfgang Lang; Sadaf I. Behlim; Ana Maria Tomé (IbPRIA, 2017)

A robust strategy for automated negotiations. - Tahir Q. Syed; Behraj Khan; Faraz Shams; Muhammad Faizan Khan; Sadaf I. Behlim; Hasina Khatoon; Zubair Shaikh (Multiagent Grid Syst., 2017)

Appearance-based data augmentation for image datasets using contrast preserving sampling. - Alishan K. Merchant; Tahir Q. Syed; Behraj Khan; Rumaisah Munir (ICPR, 2018)

Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. - Bahram K. Baloch; Sateesh Kumar; Sanjay Haresh; Abeerah Rehman; Tahir Syed (ACML, 2019)

Deep Generative Models to Counter Class Imbalance: A Model-Metric Mapping With Proportion Calibration Methodology. - Behroz Mirza; Danish Haroon; Behraj Khan; Ali Padhani; Tahir Q. Syed (IEEE Access, 2021)

A New Pooling Approach Based on Zeckendorf's Theorem for Texture Transfer Information. - Vincent Vigneron; Hichem Maaref; Tahir Q. Syed (Entropy, 2021)

Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges - A Practitioners' Cookbook. - Behroz Mirza; Tahir Q. Syed; Behraj Khan; Muhammad Yameen Malik (ACM Comput. Surv., 2022)

Real-time forecasting of petrol retail using dilated causal CNNs. - Syed Muhammad Hur Rizvi; Tahir Syed; Jalaluddin Qureshi (J. Ambient Intell. Humaniz. Comput., 2022)

Self-supervision for Tabular Data by Learning to Predict Additive Homoskedastic Gaussian Noise as Pretext. - Tahir Syed; Behroz Mirza (ACM Trans. Knowl. Discov. Data, 2023)

Causal Covariate Shift Correction using Fisher information penalty. - Behraj Khan; Behroz Mirza; Tahir Syed (Tiny Papers @ ICLR, 2024)

Textual analysis of End User License Agreement for red-flagging potentially malicious software. - Behraj Khan; Tahir Syed; Zeshan Khan; Muhammad Rafi (CoRR, 2024)

Mitigating covariate shift in non-colocated data with learned parameter priors. - Behraj Khan; Behroz Mirza; Nouman M. Durrani; Tahir Syed (CoRR, 2024)

Confidence-calibrated covariate shift correction for few-shot classification in Vision-Language Models. - Behraj Khan; Rizwan Qureshi; Nouman M. Durrani; Tahir Qasim Syed (CVPR Workshops, 2025)

Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models. - Behraj Khan; Tahir Syed (CoRR, 2025)

Technical note on calibrating vision-language models under covariate shift. - Behraj Khan; Rizwan Qureshi; Tahir Syed (CoRR, 2025)

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. - Tahir Syed; Ariba Khan; Sawera Hanif (CoRR, 2025)

Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions. - Annayah Usman; Abdul Haseeb; Tahir Syed (CoRR, 2025)

An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents. - Ayesha Amjad; Saurav Sthapit; Tahir Qasim Syed (CoRR, 2025)

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift. - Behraj Khan; Tahir Qasim Syed; Nouman M. Durrani; Bilal Naseem; Shabir Ahmad; Rizwan Qureshi (CoRR, 2025)

Adapting to Fragmented and Evolving Data: A Fisher Information Perspective. - Behraj Khan; Tahir Qasim Syed; Muhammad Nouman Durrani (CoRR, 2025)