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ORCIDMd Shajalal
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Journal Articles
- 2024
[j8]Md Shajalal
, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, Gunnar Stevens:
Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection. IEEE Access 12: 30039-30053 (2024)- 2023
- [j7]Md. Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools and Applications. Briefings Bioinform. 24(5) (2023) - [j6]Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin:
Product backorder prediction using deep neural network on imbalanced data. Int. J. Prod. Res. 61(1): 302-319 (2023) - [j5]Mohammad Aminul Islam, Md. Rakib Hassan, Machbah Uddin, Md Shajalal:
Germinative paddy seed identification using deep convolutional neural network. Multim. Tools Appl. 82(25): 39481-39501 (2023) - 2022
- [j4]Md Shajalal, Alexander Boden, Gunnar Stevens:
Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses. Electron. Mark. 32(4): 2107-2122 (2022) - 2021
- [j3]Md. Atabuzzaman, Md Shajalal, M. Elius Ahmed, Masud Ibn Afjal, Masaki Aono:
Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts. IEEE Access 9: 62972-62983 (2021) - 2020
- [j2]Md Shajalal, Masaki Aono:
Coverage-based query subtopic diversification leveraging semantic relevance. Knowl. Inf. Syst. 62(7): 2873-2891 (2020) - 2019
- [j1]Md Shajalal, Masaki Aono:
Semantic textual similarity between sentences using bilingual word semantics. Prog. Artif. Intell. 8(2): 263-272 (2019)
Conference and Workshop Papers
- 2024
- [c12]Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Paola de Perthuis, Dietrich Rebholz-Schuhmann, Stefan Decker:
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. HICSS 2024: 5576-5586 - [c11]Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern:
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments. xAI (4) 2024: 418-440 - 2023
- [c10]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA 2023: 1-10 - [c9]Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden:
Arabic Sentiment Analysis with Noisy Deep Explainable Model. NLPIR 2023: 185-189 - [c8]Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens:
Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification. xAI (2) 2023: 457-474 - 2022
- [c7]Lu Jin, Alexander Boden, Md Shajalal:
Automated Decision Making Systems in Smart Homes: A Study on User Engagement and Design. AutomationXP@CHI 2022 - [c6]Md Shajalal, Alexander Boden, Gunnar Stevens:
Towards user-centered explainable energy demand forecasting systems. e-Energy 2022: 446-447 - [c5]Md Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, Gunnar Stevens:
Focus on what matters: improved feature selection techniques for personal thermal comfort modelling. BuildSys 2022: 496-499 - [c4]Maksuda Bilkis Baby, Bushra Ankhari, Md Shajalal, Md. Atabuzzaman, Fazle Rabbi, Masud Ibn Afjal:
Identifying Duplicate Questions Leveraging Recurrent Neural Network. TCCE 2022: 331-341 - 2016
- [c3]Md. Zia Ullah, Md Shajalal, Abu Nowshed Chy, Masaki Aono:
Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification. AIRS 2016: 308-314 - [c2]Abu Nowshed Chy, Md. Zia Ullah, Md Shajalal, Masaki Aono:
KDETM at NTCIR-12 Temporalia Task: Combining a Rule-based Classifier with Weakly Supervised Learning for Temporal Intent Disambiguation. NTCIR 2016 - [c1]Md. Zia Ullah, Md Shajalal, Masaki Aono:
KDEIM at NTCIR-12 IMine-2 Search Intent Mining Task: Query Understanding through Diversified Ranking of Subtopics. NTCIR 2016
Informal and Other Publications
- 2024
- [i8]Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern:
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments. CoRR abs/2404.16074 (2024) - [i7]Md Shajalal, Md. Atabuzzaman, Alexander Boden, Gunnar Stevens, Delong Du:
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers. CoRR abs/2407.21056 (2024) - 2023
- [i6]Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Alexander Boden:
Arabic Sentiment Analysis with Noisy Deep Explainable Model. CoRR abs/2309.13731 (2023) - [i5]Md. Rezaul Karim, Lina Molinas Comet, Md Shajalal, Oya Beyan, Dietrich Rebholz-Schuhmann, Stefan Decker:
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. CoRR abs/2310.08365 (2023) - [i4]Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens:
Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification. CoRR abs/2310.20478 (2023) - [i3]Dean-Robin Kern, Gunnar Stevens, Erik Dethier, Sidra Naveed, Fatemeh Alizadeh, Delong Du, Md Shajalal:
Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System. CoRR abs/2311.11655 (2023) - 2022
- [i2]Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. CoRR abs/2208.13405 (2022) - [i1]Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, Md. Rezaul Karim:
Textual Entailment Recognition with Semantic Features from Empirical Text Representation. CoRR abs/2210.09723 (2022)
Coauthor Index
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last updated on 2024-12-05 21:38 CET by the dblp team
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