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ORCIDMuhammad Nabeel Asim
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2020 – today
- 2026
[j33]Naafey Aamer
, Muhammad Nabeel Asim, Andreas Dengel:
Comic: explainable drug repurposing via contrastive masking for interpretable connections. BMC Bioinform. 27(1): 24 (2026)- [j32]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
Temperature-driven robust disease detection in brain and gastrointestinal disorders via context-aware adaptive knowledge distillation. Biomed. Signal Process. Control. 112: 108671 (2026) - [j31]Summra Saleem, Muhammad Nabeel Asim, Andreas Dengel:
ReqNet: an LLM-driven computational framework for automated requirements extraction from unstructured documents. Complex Intell. Syst. 12(1) (2026) - [j30]Summra Saleem, Muhammad Nabeel Asim, Shaista Zulfiqar, Andreas Dengel:
The evolution of natural language processing: How prompt optimization and language models are shaping the future. Comput. Sci. Rev. 61: 100938 (2026) - [i24]Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman, Tayyaba Asif, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
GlobalWasteData: A Large-Scale, Integrated Dataset for Robust Waste Classification and Environmental Monitoring. CoRR abs/2602.07463 (2026) - [i23]Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection. CoRR abs/2603.10484 (2026) - [i22]Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach. CoRR abs/2603.14727 (2026) - [i21]Yuichiro Iwashita, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel:
A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data. CoRR abs/2603.24626 (2026) - [i20]Saif Ur Rehman Khan, Imad Ahmed Waqar, Arooj Zaib, Saad Ahmed, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering. CoRR abs/2604.14711 (2026) - [i19]Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman, Arooj Zaib, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
SolarFCD: A Large-Scale Dataset and Benchmark for Solar Fault Classification in Photovoltaic Systems. CoRR abs/2604.23662 (2026) - [i18]Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation. CoRR abs/2605.22572 (2026) - [i17]Kaito Shiku, Ahtisham Fazeel Abbasi, Ryoma Bise, Yuichiro Iwashita, Kazuya Nishimura, Andreas Dengel, Muhammad Nabeel Asim:
GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics. CoRR abs/2606.02424 (2026) - [i16]Saif Ur Rehman Khan, Imad Ahmed Waqar, Sebastian J. Vollmer, Andreas Dengel, Muhammad Nabeel Asim:
GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation. CoRR abs/2606.21915 (2026) - 2025
- [j29]Fiza Gulzar Hussain, Muhammad Wasim, Seemab Hameed, Abdur Rehman, Muhammad Nabeel Asim, Andreas Dengel:
Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives. IEEE Access 13: 54757-54778 (2025) - [j28]Muhammad Nabeel Asim, Tayyaba Asif, Faiza Hassan, Andreas Dengel:
Protein Sequence Analysis landscape: A Systematic Review of Task Types, Databases, Datasets, Word Embeddings Methods, and Language Models. Database J. Biol. Databases Curation 2025 (2025) - [j27]Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, Andreas Dengel:
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance. Comput. Biol. Medicine 188: 109821 (2025) - [j26]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
Generative language models potential for requirement engineering applications: insights into current strengths and limitations. Complex Intell. Syst. 11(6) (2025) - [j25]Summra Saleem, Muhammad Nabeel Asim, Andreas Dengel:
PassionNet: An innovative framework for duplicate and conflicting requirements identification. Expert Syst. Appl. 293: 128684 (2025) - [j24]Tayyaba Asif, Faiza Mehmood, Syed Ahmed Mazhar Gillani, Muhammad Nabeel Asim, Muhammad Usman Ghani, Waqar Mahmood, Andreas Dengel:
RPCP-PURI: A robust and precise computational predictor for Phishing Uniform Resource Identification. J. Inf. Secur. Appl. 89: 103953 (2025) - [i15]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network. CoRR abs/2503.14209 (2025) - [i14]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal. CoRR abs/2505.06381 (2025) - [i13]Faiza Hassan, Summra Saleem, Kashif Javed, Muhammad Nabeel Asim, Abdur Rehman, Andreas Dengel:
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines. CoRR abs/2505.07857 (2025) - [i12]Summra Saleem, Muhammad Nabeel Asim, Shaista Zulfiqar, Andreas Dengel:
The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future. CoRR abs/2506.17700 (2025) - [i11]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views. CoRR abs/2507.06763 (2025) - [i10]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
FloraSyntropy-Net: Scalable Deep Learning with Novel FloraSyntropy Archive for Large-Scale Plant Disease Diagnosis. CoRR abs/2508.17653 (2025) - [i9]Saif Ur Rehman Khan, Muhammad Nabeel Asim, Sebastian J. Vollmer, Andreas Dengel:
Dynamic Weight Adjustment for Knowledge Distillation: Leveraging Vision Transformer for High-Accuracy Lung Cancer Detection and Real-Time Deployment. CoRR abs/2510.20438 (2025) - 2024
- [j23]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Peter Schichtel, Andreas Dengel:
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles. IEEE Access 12: 21472-21490 (2024) - [j22]Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Sheraz Ahmed, Andreas Dengel:
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder. Comput. Biol. Medicine 176: 108538 (2024) - [j21]Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, Sebastian J. Vollmer, Andreas Dengel:
Survival prediction landscape: an in-depth systematic literature review on activities, methods, tools, diseases, and databases. Frontiers Artif. Intell. 7 (2024) - [j20]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Markus Junker, Andreas Dengel:
MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification. Frontiers Artif. Intell. 7 (2024) - [j19]Faiza Mehmood, Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Usman Ghani, Waqar Mahmood, Andreas Dengel:
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text. Neural Comput. Appl. 36(6): 3077-3100 (2024) - [c9]Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. ICAART (3) 2024: 673-680 - [i8]David Antony Selby, Kai Spriestersbach, Yuichiro Iwashita, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Muhammad Nabeel Asim, Koichi Kise, Sebastian J. Vollmer:
Quantitative knowledge retrieval from large language models. CoRR abs/2402.07770 (2024) - [i7]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations. CoRR abs/2412.00959 (2024) - [i6]Summra Saleem, Muhammad Nabeel Asim, Andreas Dengel:
PassionNet: An Innovative Framework for Duplicate and Conflicting Requirements Identification. CoRR abs/2412.01657 (2024) - 2023
- [b1]Muhammad Nabeel Asim:
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis. Kaiserslautern University of Technology, Germany, 2023 - [j18]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, Andreas Dengel, Sheraz Ahmed:
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method. Briefings Bioinform. 24(1) (2023) - [j17]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed:
Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction. Complex Intell. Syst. 9(1): 399-419 (2023) - [j16]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101665 (2023) - [j15]Faiza Mehmood, Rehab Shahzadi, Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Usman Ghani, Waqar Mahmood, Andreas Dengel:
EnML: Multi-label Ensemble Learning for Urdu Text Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 227:1-227:31 (2023) - [c8]Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
Deep Learning Architectures for the Prediction of YY1-Mediated Chromatin Loops. ISBRA 2023: 72-84 - [i5]Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. CoRR abs/2310.19057 (2023) - 2022
- [j14]Marco Stricker, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
CircNet: an encoder-decoder-based convolution neural network (CNN) for circular RNA identification. Neural Comput. Appl. 34(14): 11441-11452 (2022) - 2021
- [j13]Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). IEEE Access 9: 19379-19390 (2021) - [j12]Muhammad Ali Ibrahim, Muhammad Usman Ghani Khan, Faiza Mehmood, Muhammad Nabeel Asim, Waqar Mahmood:
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification. J. Biomed. Informatics 116: 103699 (2021) - [j11]Muhammad Nabeel Asim, Kashif Javed, Abdur Rehman, Haroon A. Babri:
A new feature selection metric for text classification: eliminating the need for a separate pruning stage. Int. J. Mach. Learn. Cybern. 12(9): 2461-2478 (2021) - [j10]Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed:
Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification. Neural Comput. Appl. 33(6): 2157 (2021) - [j9]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed:
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification. Neural Comput. Appl. 33(11): 5437-5469 (2021) - [c7]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane. BHI 2021: 1-4 - [c6]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Christoph Zehe, Olivier Cloarec, Rickard Sjögren, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework. IJCNN 2021: 1-8 - 2020
- [j8]Faiza Mehmood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shahzadi, Waqar Mahmood, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis. IEEE Access 8: 192740-192759 (2020) - [c5]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. ICONIP (3) 2020: 38-48 - [c4]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. IJCNN 2020: 1-8 - [i4]Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel:
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification. CoRR abs/2003.01345 (2020) - [i3]Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis. CoRR abs/2003.05443 (2020)
2010 – 2019
- 2019
- [j7]Muhammad Wasim, Waqar Mahmood, Muhammad Nabeel Asim, Muhammad Usman Ghani Khan:
Multi-Label Question Classification for Factoid and List Type Questions in Biomedical Question Answering. IEEE Access 7: 3882-3896 (2019) - [j6]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Nasir Mahmood, Waqar Mahmood:
The Use of Ontology in Retrieval: A Study on Textual, Multilingual, and Multimedia Retrieval. IEEE Access 7: 21662-21686 (2019) - [j5]Muhammad Wasim, Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Waqar Mahmood:
Multi-label biomedical question classification for lexical answer type prediction. J. Biomed. Informatics 93 (2019) - [j4]Muhammad Wasim, Muhammad Nabeel Asim, Muhammad Usman Ghani, Zahoor-Ur Rehman, Seungmin Rho, Irfan Mehmood:
Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval. Multim. Tools Appl. 78(21): 29681-29712 (2019) - [c3]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. ICDAR 2019: 1390-1396 - [c2]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Khizar Razzaque, Andreas Dengel, Sheraz Ahmed:
Two Stream Deep Network for Document Image Classification. ICDAR 2019: 1410-1416 - [i2]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. CoRR abs/1909.05478 (2019) - [i1]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC). CoRR abs/1912.11356 (2019) - 2018
- [j3]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Waqar Mahmood:
Improved biomedical term selection in pseudo relevance feedback. Database J. Biol. Databases Curation 2018: bay056 (2018) - [j2]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Waqar Mahmood, Hafiza Mahnoor Abbasi:
A survey of ontology learning techniques and applications. Database J. Biol. Databases Curation 2018: bay101 (2018) - [j1]Abdur Rehman, Kashif Javed, Haroon A. Babri, Muhammad Nabeel Asim:
Selection of the most relevant terms based on a max-min ratio metric for text classification. Expert Syst. Appl. 114: 78-96 (2018) - 2017
- [c1]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Sajid Ali, Abdur Rehman:
Comparison of feature selection methods in text classification on highly skewed datasets. INTELLECT 2017: 1-8
Coauthor Index
[j33] [j32] [j31] [j30] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j29] [j28] [j27] [j26] [j25] [j24] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j23] [j22] [j21] [j20] [j19] [c9] [i7] [i6] [j18] [j17] [j16] [j15] [c8] [i5] [j14] [j13] [j10] [j9] [c7] [c6] [c5] [c4] [i4] [c3] [c2] [i2] [i1]
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