Md Shajalal

According to our database, Md Shajalal authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments.

Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern

Proceedings of the Explainable Artificial Intelligence, 2024

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

Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Paola de Perthuis, Dietrich Rebholz-Schuhmann, Stefan Decker

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

2023

Germinative paddy seed identification using deep convolutional neural network.

Mohammad Aminul Islam, Md. Rakib Hassan, Machbah Uddin, Md Shajalal

Multim. Tools Appl., October, 2023

Explainable AI for Bioinformatics: Methods, Tools and Applications.

Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker

Briefings Bioinform., September, 2023

Product backorder prediction using deep neural network on imbalanced data.

Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin

Int. J. Prod. Res., 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

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

Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker

CoRR, 2023

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

Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens

Proceedings of the Explainable Artificial Intelligence, 2023

Arabic Sentiment Analysis with Noisy Deep Explainable Model.

Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden

Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

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

Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker

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

2022

Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses.

Md Shajalal, Alexander Boden, Gunnar Stevens

Electron. Mark., December, 2022

Textual Entailment Recognition with Semantic Features from Empirical Text Representation.

Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Md. Rezaul Karim

CoRR, 2022

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

Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker

CoRR, 2022

Identifying Duplicate Questions Leveraging Recurrent Neural Network.

Maksuda Bilkis Baby, Bushra Ankhari, Md Shajalal, Md. Atabuzzaman, Fazle Rabbi, Masud Ibn Afjal

TCCE, 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

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Towards user-centered explainable energy demand forecasting systems.

Md Shajalal, Alexander Boden, Gunnar Stevens

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Automated Decision Making Systems in Smart Homes: A Study on User Engagement and Design.

Lu Jin, Alexander Boden, Md Shajalal

Proceedings of the Workshop on Engaging with Automation co-located with the ACM Conference on Human Factors in Computing Systems (CHI 2022), 2022

2021

Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts.

Md. Atabuzzaman, Md Shajalal, M. Elius Ahmed, Masud Ibn Afjal, Masaki Aono

IEEE Access, 2021

2020

Coverage-based query subtopic diversification leveraging semantic relevance.

Md Shajalal, Masaki Aono

Knowl. Inf. Syst., 2020

2019

Semantic textual similarity between sentences using bilingual word semantics.

Md Shajalal, Masaki Aono

Prog. Artif. Intell., 2019

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

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 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

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification.

Md. Zia Ullah, Md Shajalal, Abu Nowshed Chy, Masaki Aono

Proceedings of the Information Retrieval Technology, 2016