Privacy Preserving Mining Maximal Frequent Patterns in Transactional Databases. - Md. Rezaul Karim 001; Md. Mamunur Rashid 001; Byeong-Soo Jeong; Ho-Jin Choi (DASFAA (1), 2012)

Efficient Mining Regularly Frequent Patterns in Transactional Databases. - Md. Mamunur Rashid 001; Md. Rezaul Karim 001; Byeong-Soo Jeong; Ho-Jin Choi (DASFAA (1), 2012)

A Deep Learning Approach to Genomics Data for Population Scale Clustering and Ethnicity Prediction. - Md. Rezaul Karim 001; Achille Zappa; Ratnesh Sahay; Dietrich Rebholz-Schuhmann (SeWeBMeDA@ESWC, 2017)

Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. - Md. Rezaul Karim 001; Matthias Heinrichs; Lars Christoph Gleim; Michael Cochez; Emily Porter; Alessandra La Gioia; Saqib Salahuddin; Stefan Decker; Martin O'Halloran; Oya Beyan (SWAT4LS, 2017)

Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data. - Alokkumar Jha; Yasar Khan; Muntazir Mehdi; Md. Rezaul Karim 001; Qaiser Mehmood 001; Achille Zappa; Dietrich Rebholz-Schuhmann; Ratnesh Sahay (J. Biomed. Semant., 2017)

A distributed analytics platform to execute FHIR based phenotyping algorithms. - Md. Rezaul Karim 001; Binh-Phi Nguyen; Lukas Zimmermann; Toralf Kirsten; Matthias Löbe; Frank A. Meineke; Holger Stenzhorn; Oliver Kohlbacher; Stefan Decker; Oya Beyan (SWAT4LS, 2018)

Improving data workflow systems with cloud services and use of open data for bioinformatics research. - Md. Rezaul Karim 001; Audrey M. Michel; Achille Zappa; Pavel V. Baranov; Ratnesh Sahay; Dietrich Rebholz-Schuhmann (Briefings Bioinform., 2018)

Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. - Md. Rezaul Karim 001; Michael Cochez; Oya Beyan; Achille Zappa; Ratnesh Sahay; Stefan Decker; Dietrich Rebholz-Schuhmann (CoRR, 2018)

Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. - Md. Rezaul Karim 001; Michael Cochez; Oya Deniz Beyan; Chowdhury Farhan Ahmed; Stefan Decker (Inf. Sci., 2018)

A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network. - Muhammad Ashfaq Khan; Md. Rezaul Karim 001; Yangwoo Kim (Symmetry, 2018)

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. - Md. Rezaul Karim 001; Michael Cochez; Joao Bosco Jares; Mamtaz Uddin; Oya Beyan; Stefan Decker (BCB, 2019)

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. - Md. Rezaul Karim 001; Michael Cochez; Oya Beyan; Stefan Decker; Christoph Lange 002 (BIBE, 2019)

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data. - Md. Rezaul Karim 001; Galih Wicaksono; Ivan G. Costa; Stefan Decker; Oya Beyan (IEEE Access, 2019)

A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network. - Muhammad Ashfaq Khan; Md. Rezaul Karim 001; Yangwoo Kim (Symmetry, 2019)

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. - Md. Rezaul Karim 001; Till Döhmen; Michael Cochez; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (BIBM, 2020)

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. - Md. Rezaul Karim 001; Bharathi Raja Chakravarthi; John P. McCrae; Michael Cochez (DSAA, 2020)

Enabling ad-hoc reuse of private data repositories through schema extraction. - Lars Christoph Gleim; Md. Rezaul Karim 001; Lukas Zimmermann; Oliver Kohlbacher; Holger Stenzhorn; Stefan Decker; Oya Beyan (J. Biomed. Semant., 2020)

DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. - Md. Rezaul Karim 001; Till Döhmen; Dietrich Rebholz-Schuhmann; Stefan Decker; Michael Cochez; Oya Beyan (CoRR, 2020)

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. - Md. Rezaul Karim 001; Sumon Kanti Dey; Tanhim Islam; Sagor Sarker; Mehadi Hasan Menon; Kabir Hossain; Bharathi Raja Chakravarthi; Md. Azam Hossain; Stefan Decker (CoRR, 2020)

Distributed Analytics on Sensitive Medical Data: The Personal Health Train. - Oya Beyan; Ananya Choudhury; Johan van Soest; Oliver Kohlbacher; Lukas Zimmermann; Holger Stenzhorn; Md. Rezaul Karim 001; Michel Dumontier; Stefan Decker; Luiz Olavo Bonino da Silva Santos; Andre Dekker (Data Intell., 2020)

A snapshot neural ensemble method for cancer-type prediction based on copy number variations. - Md. Rezaul Karim 001; Ashiqur Rahman; Joao Bosco Jares; Stefan Decker; Oya Beyan (Neural Comput. Appl., 2020)

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language. - Md. Rezaul Karim 001; Sumon Kanti Dey; Tanhim Islam; Sagor Sarker; Mehadi Hasan Menon; Kabir Hossain; Md. Azam Hossain; Stefan Decker (DSAA, 2021)

DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. - Md. Rezaul Karim 001; Jiao Jiao; Till Döhmen; Michael Cochez; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (IEEE Access, 2021)

Deep learning-based clustering approaches for bioinformatics. - Md. Rezaul Karim 001; Oya Beyan; Achille Zappa; Ivan G. Costa; Dietrich Rebholz-Schuhmann; Michael Cochez; Stefan Decker (Briefings Bioinform., 2021)

Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data. - Md. Rezaul Karim 001; Tanhim Islam; Christoph Lange 002; Dietrich Rebholz-Schuhmann; Stefan Decker (IEEE Access, 2022)

Multimodal Hate Speech Detection from Bengali Memes and Texts. - Md. Rezaul Karim 001; Sumon Kanti Dey; Tanhim Islam; Bharathi Raja Chakravarthi (CoRR, 2022)

Interpreting Black-box Machine Learning Models for High Dimensional Datasets. - Md. Rezaul Karim 001; Md Shajalal; Alexander Graß; Till Döhmen; Sisay Adugna Chala; Christian Beecks; Stefan Decker (CoRR, 2022)

Question Answering Over Biological Knowledge Graph via Amazon Alexa. - Md. Rezaul Karim 001; Hussain Ali; Prinon Das; Mohamed Abdelwaheb; Stefan Decker (CoRR, 2022)

Textual Entailment Recognition with Semantic Features from Empirical Text Representation. - Md. Atabuzzaman; Md Shajalal; Maksuda Bilkis Baby; Md. Rezaul Karim 001 (CoRR, 2022)

Explainable AI for Bioinformatics: Methods, Tools, and Applications. - Md. Rezaul Karim 001; Tanhim Islam; Oya Beyan; Christoph Lange 002; Michael Cochez; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2022)

Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. - Md. Rezaul Karim 001; Michael Cochez; Achille Zappa; Ratnesh Sahay; Dietrich Rebholz-Schuhmann; Oya Beyan; Stefan Decker (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Interpreting black-box machine learning models with decision rules and knowledge graph reasoning. - Md. Rezaul Karim 001 (2022)

Bengali Hate Speech Detection Dataset. - Sumon Kanti Dey; Michael Cochez; Md. Rezaul Karim 001 (UCI Machine Learning Repository, 2022)

Interpreting Black-box Machine Learning Models for High Dimensional Datasets. - Md. Rezaul Karim 001; Md Shajalal; Alexander Graß; Till Döhmen; Sisay Adugna Chala; Alexander Boden; Christian Beecks; Stefan Decker (DSAA, 2023)

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification. - Md Shajalal; Sebastian Denef; Md. Rezaul Karim 001; Alexander Boden; Gunnar Stevens (xAI (2), 2023)

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer. - Md. Rezaul Karim 001; Lina Molinas Comet; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2023)

Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (CoRR, 2023)

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. - Md. Rezaul Karim 001; Lina Molinas Comet; Md Shajalal; Oya Beyan; Dietrich Rebholz-Schuhmann; Stefan Decker (CoRR, 2023)

Explainable AI for Bioinformatics: Methods, Tools and Applications. - Md. Rezaul Karim 001; Tanhim Islam; Md Shajalal; Oya Beyan; Christoph Lange 002; Michael Cochez; Dietrich Rebholz-Schuhmann; Stefan Decker (Briefings Bioinform., 2023)

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. - Md. Rezaul Karim 001; Lina Molinas Comet; Md Shajalal; Paola de Perthuis; Dietrich Rebholz-Schuhmann; Stefan Decker (HICSS, 2024)

Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (IEEE Access, 2024)

Mapping industry 4.0 strategies for sustainable logistics: insights from the electronic industry in emerging markets. - Sheak Salman; Md. Rezaul Karim 001; Shah Murtoza Morshed; Rafat Rahman; Saifur Rahman Tushar; Sharmine Akther Liza; Naimur Rahman Chowdhury (Int. J. Syst. Assur. Eng. Manag., 2025)