Md Shajalal

Orcid: 0000-0002-9011-708X

According to our database1, Md Shajalal authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Germinative paddy seed identification using deep convolutional neural network.
Multim. Tools Appl., October, 2023

Explainable AI for Bioinformatics: Methods, Tools and Applications.
Briefings Bioinform., September, 2023

Product backorder prediction using deep neural network on imbalanced data.
Int. J. Prod. Res., 2023

Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System.
CoRR, 2023

From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer.
CoRR, 2023

Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification.
Proceedings of the Explainable Artificial Intelligence, 2023

Arabic Sentiment Analysis with Noisy Deep Explainable Model.
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.
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.
Electron. Mark., December, 2022

Textual Entailment Recognition with Semantic Features from Empirical Text Representation.
CoRR, 2022

Interpreting Black-box Machine Learning Models for High Dimensional Datasets.
CoRR, 2022

Identifying Duplicate Questions Leveraging Recurrent Neural Network.
TCCE, 2022

Focus on what matters: improved feature selection techniques for personal thermal comfort modelling.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Towards user-centered explainable energy demand forecasting systems.
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.
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.
IEEE Access, 2021

2020
Coverage-based query subtopic diversification leveraging semantic relevance.
Knowl. Inf. Syst., 2020

2019
Semantic textual similarity between sentences using bilingual word semantics.
Prog. Artif. Intell., 2019

2016
KDEIM at NTCIR-12 IMine-2 Search Intent Mining Task: Query Understanding through Diversified Ranking of Subtopics.
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.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Query Subtopic Mining Exploiting Word Embedding for Search Result Diversification.
Proceedings of the Information Retrieval Technology, 2016


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