Md. Rezaul Karim

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Explainable AI for Bioinformatics: Methods, Tools and Applications.

[BibT_eX]

[DOI]

Briefings Bioinform., September, 2023

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer.

[BibT_eX]

[DOI]

CoRR, 2023

Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering.

[BibT_eX]

[DOI]

CoRR, 2023

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer.

[BibT_eX]

[DOI]

Lina Molinas Comet

Oya Beyan

CoRR, 2023

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

Interpreting Black-box Machine Learning Models for High Dimensional Datasets.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Bengali Hate Speech Detection Dataset.

[BibT_eX]

[DOI]

Sumon Kanti Dey

Dataset, April, 2022

Interpreting black-box machine learning models with decision rules and knowledge graph reasoning.

[BibT_eX]

[DOI]

PhD thesis, 2022

Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing.

[BibT_eX]

[DOI]

Oya Beyan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Explainable AI for Bioinformatics: Methods, Tools, and Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Textual Entailment Recognition with Semantic Features from Empirical Text Representation.

[BibT_eX]

[DOI]

CoRR, 2022

Question Answering Over Biological Knowledge Graph via Amazon Alexa.

[BibT_eX]

[DOI]

CoRR, 2022

Interpreting Black-box Machine Learning Models for High Dimensional Datasets.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal Hate Speech Detection from Bengali Memes and Texts.

[BibT_eX]

[DOI]

Bharathi Raja Chakravarthi

Sumon Kanti Dey

Tanhim Islam

CoRR, 2022

Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data.

[BibT_eX]

[DOI]

Tanhim Islam

Christoph Lange

IEEE Access, 2022

2021

Deep learning-based clustering approaches for bioinformatics.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Luiz Olavo Bonino da Silva Santos

IEEE Access, 2021

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

A snapshot neural ensemble method for cancer-type prediction based on copy number variations.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Distributed Analytics on Sensitive Medical Data: The Personal Health Train.

[BibT_eX]

[DOI]

Andre Dekker

Data Intell., 2020

DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language.

[BibT_eX]

[DOI]

Bharathi Raja Chakravarthi

Sumon Kanti Dey

CoRR, 2020

DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images.

[BibT_eX]

[DOI]

Till Döhmen

Oya Beyan

CoRR, 2020

Enabling ad-hoc reuse of private data repositories through schema extraction.

[BibT_eX]

[DOI]

J. Biomed. Semant., 2020

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network.

[BibT_eX]

[DOI]

Bharathi Raja Chakravarthi

John P. McCrae

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network.

[BibT_eX]

[DOI]

Muhammad Ashfaq Khan

Yangwoo Kim

Symmetry, 2019

Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data.

[BibT_eX]

[DOI]

IEEE Access, 2019

OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

A Two-Stage Big Data Analytics Framework with Real World Applications Using Spark Machine Learning and Long Short-Term Memory Network.

[BibT_eX]

[DOI]

Muhammad Ashfaq Khan

Yangwoo Kim

Symmetry, 2018

Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach.

[BibT_eX]

[DOI]

Oya Deniz Beyan

Chowdhury Farhan Ahmed

Inf. Sci., 2018

Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Improving data workflow systems with cloud services and use of open data for bioinformatics research.

[BibT_eX]

[DOI]

Briefings Bioinform., 2018

A distributed analytics platform to execute FHIR based phenotyping algorithms.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences, 2018

2017

Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data.

[BibT_eX]

[DOI]

Ratnesh Sahay

J. Biomed. Semant., 2017

Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017

A Deep Learning Approach to Genomics Data for Population Scale Clustering and Ethnicity Prediction.

[BibT_eX]

[DOI]

Achille Zappa

Ratnesh Sahay