Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification. - Md. Zia Ullah; Md Shajalal; Abu Nowshed Chy; Masaki Aono (AIRS, 2016)

KDETM at NTCIR-12 Temporalia Task: Combining a Rule-based Classifier with Weakly Supervised Learning for Temporal Intent Disambiguation. - Abu Nowshed Chy; Md. Zia Ullah; Md Shajalal; Masaki Aono (NTCIR, 2016)

KDEIM at NTCIR-12 IMine-2 Search Intent Mining Task: Query Understanding through Diversified Ranking of Subtopics. - Md. Zia Ullah; Md Shajalal; Masaki Aono (NTCIR, 2016)

Semantic textual similarity between sentences using bilingual word semantics. - Md Shajalal; Masaki Aono (Prog. Artif. Intell., 2019)

Coverage-based query subtopic diversification leveraging semantic relevance. - Md Shajalal; Masaki Aono (Knowl. Inf. Syst., 2020)

Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts. - Md. Atabuzzaman; Md Shajalal; M. Elius Ahmed; Masud Ibn Afjal; Masaki Aono (IEEE Access, 2021)

Automated Decision Making Systems in Smart Homes: A Study on User Engagement and Design. - Lu Jin 003; Alexander Boden; Md Shajalal (AutomationXP@CHI, 2022)

Towards user-centered explainable energy demand forecasting systems. - Md Shajalal; Alexander Boden; Gunnar Stevens (e-Energy, 2022)

Focus on what matters: improved feature selection techniques for personal thermal comfort modelling. - Md Shajalal; Milad Bohlouli; Hari Prasanna Das; Alexander Boden; Gunnar Stevens (BuildSys, 2022)

Identifying Duplicate Questions Leveraging Recurrent Neural Network. - Maksuda Bilkis Baby; Bushra Ankhari; Md Shajalal; Md. Atabuzzaman; Fazle Rabbi 003; Masud Ibn Afjal (TCCE, 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)

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

Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses. - Md Shajalal; Alexander Boden; Gunnar Stevens (Electron. Mark., 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)

Arabic Sentiment Analysis with Noisy Deep Explainable Model. - Md. Atabuzzaman; Md Shajalal; Maksuda Bilkis Baby; Alexander Boden (NLPIR, 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)

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)

Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System. - Dean-Robin Kern; Gunnar Stevens; Erik Dethier; Sidra Naveed; Fatemeh Alizadeh; Delong Du; Md Shajalal (CoRR, 2023)

Product backorder prediction using deep neural network on imbalanced data. - Md Shajalal; Petr Hájek 002; Mohammad Zoynul Abedin (Int. J. Prod. Res., 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)

Germinative paddy seed identification using deep convolutional neural network. - Mohammad Aminul Islam; Md. Rakib Hassan; Machbah Uddin; Md Shajalal (Multim. Tools Appl., 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)

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments. - Md Shajalal; Alexander Boden; Gunnar Stevens; Delong Du; Dean-Robin Kern (xAI (4), 2024)

Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection. - Md Shajalal; Milad Bohlouli; Hari Prasanna Das; Alexander Boden; Gunnar Stevens (IEEE Access, 2024)

What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers. - Md Shajalal; Md. Atabuzzaman; Alexander Boden; Gunnar Stevens; Delong Du (CoRR, 2024)