Forensic Signature Verification Competition 4NSigComp2010 - Detection of Simulated and Disguised Signatures. - Marcus Liwicki; C. Elisa van den Heuvel; Bryan Found; Muhammad Imran Malik (ICFHR, 2010)

Signature Verification Competition for Online and Offline Skilled Forgeries (SigComp2011). - Marcus Liwicki; Muhammad Imran Malik; C. Elisa van den Heuvel; Xiaohong Chen 001; Charles E. H. Berger; Reinoud Stoel; Michael Blumenstein; Bryan Found (ICDAR, 2011)

Evaluation of Local and Global Features for Offline Signature Verification. - Muhammad Imran Malik; Marcus Liwicki; Andreas Dengel 001 (AFHA, 2011)

A Signature Verification Framework for Digital Pen Applications. - Muhammad Imran Malik; Sheraz Ahmed; Andreas Dengel 001; Marcus Liwicki (Document Analysis Systems, 2012)

Signature Segmentation from Document Images. - Sheraz Ahmed; Muhammad Imran Malik; Marcus Liwicki; Andreas Dengel 001 (ICFHR, 2012)

ICFHR 2012 Competition on Automatic Forensic Signature Verification (4NsigComp 2012). - Marcus Liwicki; Muhammad Imran Malik; Linda Alewijnse; C. Elisa van den Heuvel; Bryan Found (ICFHR, 2012)

From Terminology to Evaluation: Performance Assessment of Automatic Signature Verification Systems. - Muhammad Imran Malik; Marcus Liwicki (ICFHR, 2012)

Online Signature Analysis Based on Accelerometric and Gyroscopic Pens and Legendre Series. - Erika Griechisch; Muhammad Imran Malik; Marcus Liwicki (ICDAR, 2013)

FREAK for Real Time Forensic Signature Verification. - Muhammad Imran Malik; Sheraz Ahmed; Marcus Liwicki; Andreas Dengel 001 (ICDAR, 2013)

ICDAR 2013 Competitions on Signature Verification and Writer Identification for On- and Offline Skilled Forgeries (SigWiComp 2013). - Muhammad Imran Malik; Marcus Liwicki; Linda Alewijnse; Wataru Ohyama; Michael Blumenstein; Bryan Found (ICDAR, 2013)

Part-Based Automatic System in Comparison to Human Experts for Forensic Signature Verification. - Muhammad Imran Malik; Marcus Liwicki; Andreas Dengel 001 (ICDAR, 2013)

Local Features for Forensic Signature Verification. - Muhammad Imran Malik; Marcus Liwicki; Andreas Dengel 001 (ICIAP Workshops, 2013)

Online Signature Verification Based on Kolmogorov-Smirnov Distribution Distance. - Erika Griechisch; Muhammad Imran Malik; Marcus Liwicki (ICFHR, 2014)

Automatic Signature Stability Analysis and Verification Using Local Features. - Muhammad Imran Malik; Marcus Liwicki; Andreas Dengel 001; Seiichi Uchida; Volkmar Frinken (ICFHR, 2014)

Deepdocclassifier: Document classification with deep Convolutional Neural Network. - Muhammad Zeshan Afzal; Samuele Capobianco; Muhammad Imran Malik; Simone Marinai; Thomas M. Breuel; Andreas Dengel 001; Marcus Liwicki (ICDAR, 2015)

ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015). - Muhammad Imran Malik; Sheraz Ahmed; Angelo Marcelli; Umapada Pal 001; Michael Blumenstein; Linda Alewijnse; Marcus Liwicki (ICDAR, 2015)

Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science. - Muhammad Imran Malik (2015)

Automatic Signature Segmentation Using Hyper-Spectral Imaging. - Umair Muneer Butt; Sheraz Ahmed; Faisal Shafait; Christian Nansen; Ajmal Saeed Mian; Muhammad Imran Malik (ICFHR, 2016)

A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents. - Sheraz Ahmed; Muhammad Imran Malik; Muhammad Zeshan Afzal; Koichi Kise; Masakazu Iwamura; Andreas Dengel 001; Marcus Liwicki (CoRR, 2016)

Online word-of-mouth antecedents, attitude and intention-to-purchase electronic products in Pakistan. - Alina Baber; Thurasamy Ramayah; Muhammad Imran Malik; Bushra Sadiq; Samina Islam; Muhammad Sajjad (Telematics Informatics, 2016)

AirScript - Creating Documents in Air. - Ayushman Dash; Amit Sahu; Rajveer Shringi; John Cristian Borges Gamboa; Muhammad Zeshan Afzal; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2017)

Table Detection Using Deep Learning. - Azka Gilani; Shah Rukh Qasim; Muhammad Imran Malik; Faisal Shafait (ICDAR, 2017)

D-StaR: A Generic Method for Stamp Segmentation from Document Images. - Junaid Younas; Muhammad Zeshan Afzal; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed (ICDAR, 2017)

Determinants of cyberloafing: a comparative study of a public and private sector organization. - Zill-e-Huma; Saddam Hussain; Thurasamy Ramayah; Muhammad Imran Malik (Internet Res., 2017)

What Am I Writing: Classification of On-Line Handwritten Sequences. - Junaid Younas; Stefan Fritsch; Gerald Pirkl; Sheraz Ahmed; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz (Intelligent Environments (Workshops), 2018)

Preparing for Secure Wireless Medical Environment in 2050: A Vision. - Muhammad Imran Malik; Ian McAteer; Peter Hannay; Zubair A. Baig (IEEE Access, 2018)

DeCNT: Deep Deformable CNN for Table Detection. - Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Stefan Agne; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2018)

Forensic Analysis of a Crash-Damaged Cheerson CX-20 Auto Pathfinder Drone. - Ian McAteer; Peter Hannay; Muhammad Imran Malik; Zubair A. Baig (J. Digit. Forensics Secur. Law, 2018)

3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor. - Jameel Malik; Ahmed Elhayek; Sheraz Ahmed; Faisal Shafait; Muhammad Imran Malik; Didier Stricker (Sensors, 2018)

KINN: Incorporating Expert Knowledge in Neural Networks. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Runway Detection and Localization in Aerial Images using Deep Learning. - Javeria Akbar; Muhammad Shahzad; Muhammad Imran Malik; Adnan Ul-Hasan; Faisal Shafait (DICTA, 2019)

FFD: Figure and Formula Detection from Document Images. - Junaid Younas; Syed Tahseen Raza Rizvi; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed (DICTA, 2019)

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting. - Muhammad Ali Chattha; Shoaib Ahmed Siddiqui; Mohsin Munir; Muhammad Imran Malik; Ludger van Elst; Andreas Dengel 001; Sheraz Ahmed (ICANN (2), 2019)

A Robust Hybrid Approach for Textual Document Classification. - Muhammad Nabeel Asim; Muhammad Usman Ghani Khan; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2019)

Two Stream Deep Network for Document Image Classification. - Muhammad Nabeel Asim; Muhammad Usman Ghani Khan; Muhammad Imran Malik; Khizar Razzaque; Andreas Dengel 001; Sheraz Ahmed (ICDAR, 2019)

Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection. - Muhammad Naseer Bajwa; Yoshinobu Taniguchi; Muhammad Imran Malik; Wolfgang Neumeier; Andreas Dengel 001; Sheraz Ahmed (MIUA, 2019)

A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC). - Muhammad Nabeel Asim; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2019)

A Perspective Analysis of Handwritten Signature Technology. - Moisés Díaz; Miguel A. Ferrer; Donato Impedovo; Muhammad Imran Malik; Giuseppe Pirlo; Réjean Plamondon (ACM Comput. Surv., 2019)

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. - Muhammad Naseer Bajwa; Muhammad Imran Malik; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Faisal Shafait; Wolfgang Neumeier; Sheraz Ahmed (BMC Medical Informatics Decis. Mak., 2019)

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning. - Muhammad Naseer Bajwa; Muhammad Imran Malik; Shoaib Ahmed Siddiqui; Andreas Dengel 001; Faisal Shafait; Wolfgang Neumeier; Sheraz Ahmed (BMC Medical Informatics Decis. Mak., 2019)

Detection of Subject Attention in an Active Environment Through Facial Expressions Using Deep Learning Techniques and Computer Vision. - Naqash Gerard; Talha Yousuf; Ahmed Husnain Johar; Umer Asgher; Muhammad Imran Malik; Adnan Ul-Hasan; Faisal Shafait (AHFE (1), 2020)

Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks. - Khurram Shehzad; Adnan Ul-Hasan; Muhammad Imran Malik; Faisal Shafait (DAS, 2020)

Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. - Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICONIP (3), 2020)

K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. - Muhammad Nabeel Asim; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2020)

G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. - Muhammad Naseer Bajwa; Gur Amrit Pal Singh; Wolfgang Neumeier; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2020)

On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors. - Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2020)

Offline Signature Verification Using Feature Learning and One-Class Classification. - Safia Shabbir; Muhammad Imran Malik; Imran Siddiqi (MedPRAI, 2020)

Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks. - Muhammad Naseer Bajwa; Suleman Khurram; Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2020)

ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane. - Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (BHI, 2021)

Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning. - Nosheen Abid; Muhammad Imran Malik; Muhammad Shahzad 002; Faisal Shafait; Haider Ali; Muhammad Mohsin Ghaffar; Christian Weis; Norbert Wehn; Marcus Liwicki (DICTA, 2021)

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). - Muhammad Nabeel Asim; Muhammad Imran Malik; Christoph Zehe; Johan Trygg; Andreas Dengel 001; Sheraz Ahmed (IEEE Access, 2021)

UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery. - Nosheen Abid; Muhammad Shahzad 002; Muhammad Imran Malik; Ulrich Schwanecke; Adrian Ulges; György Kovács 001; Faisal Shafait (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Multi-view gait recognition system using spatio-temporal features and deep learning. - Saba Gul; Muhammad Imran Malik; Gul Muhammad Khan; Faisal Shafait (Expert Syst. Appl., 2021)

Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph). - Junaid Younas; Muhammad Imran Malik; Sheraz Ahmed; Faisal Shafait; Paul Lukowicz (Expert Syst. Appl., 2021)

Learning the micro deformations by max-pooling for offline signature verification. - Yuchen Zheng; Brian Kenji Iwana; Muhammad Imran Malik; Sheraz Ahmed; Wataru Ohyama; Seiichi Uchida (Pattern Recognit., 2021)

ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions. - Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Comput. Methods Programs Biomed., 2022)

KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting. - Muhammad Ali Chattha; Ludger van Elst; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (CoRR, 2022)

Few-Shot Learning for Biometric Verification. - Umaid M. Zaffar; Marium Aslam; Muhammad Imran Malik; Saad Bin Ahmed (CoRR, 2022)

Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (ICANN (6), 2023)

Adversarial Attacks on Convolutional Siamese Signature Verification Networks. - Maham Jahangir; Muhammad Imran Malik; Faisal Shafait (ICDAR (4), 2023)

Developing Resilient Cyber-Physical Systems: A Review of State-of-the-Art Malware Detection Approaches, Gaps, and Future Directions. - Muhammad Imran Malik; Ahmed Ibrahim 002; Peter Hannay; Leslie F. Sikos (Comput., 2023)

Analysis of Hyperspectral Data to Develop an Approach for Document Images. - Zainab Zaman; Saad Bin Ahmed; Muhammad Imran Malik (Sensors, 2023)

Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images. - Hasan Irtaza Mirza; Saad Bin Ahmed; Roberto Solis-Oba; Muhammad Imran Malik (IEEE Access, 2024)

Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation. - Haadia Amjad; Kilian Goeller; Steffen Seitz 004; Carsten Knoll; Muhammad Naseer Bajwa; Ronald Tetzlaff; Muhammad Imran Malik (CoRR, 2024)

Vision-Based 3-D Localization of UAV Using Deep Image Matching. - Mansoor Khurshid; Muhammad Shahzad 002; Hasan Ali Khattak; Muhammad Imran Malik; Muhammad Moazam Fraz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

KRNN: A hybrid data and knowledge oriented time series forecasting approach for health care applications. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Expert Syst. Appl., 2025)

Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +. - Muhammad Ali Chattha; Muhammad Imran Malik; Andreas Dengel 001; Sheraz Ahmed (Mach. Learn., 2025)