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- title: README
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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
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+ # Articulated Research Institute for Scientific Excellence
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+ **ARISE** is an applied machine learning research lab based in Bangladesh. We work wherever rigorous ML methodology meets real-world complexity β€” from financial markets and satellite imagery to regional languages, medical imaging, explainability, and beyond.
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+ Our research spans the full arc from early-stage ideas to published results. Some projects are foundational explorations; others carry peer-reviewed contributions and public datasets. What ties them together is a commitment to methodologically sound, reproducible science β€” with a focus on problems that matter in South Asian and low-resource contexts.
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+ We are affiliated with the **Department of Computer Science and Engineering, Southeast University, Bangladesh**.
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+ 🌐 [ariserl.org](https://ariserl.org)  Β·  πŸ’Ό [LinkedIn](https://bd.linkedin.com/company/ariserl24)  Β·  πŸ“˜ [Facebook](https://www.facebook.com/ariserl24)
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+ ## What We Work On
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+ Our portfolio is intentionally broad. Past and ongoing work has touched:
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+ - **Financial ML** β€” structural break detection, coverage bias, regime analysis, and time series forecasting in emerging markets
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+ - **Remote Sensing** β€” satellite and aerial image analysis
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+ - **Regional Language NLP** β€” dialect-aware datasets and models for Bengali and related varieties
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+ - **Medical & Biomedical Imaging** β€” retinal disease detection, ocular health, and physics-informed vision
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+ - **Explainable AI** β€” gradient-based and attention-based interpretability on image models
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+ - **Multimodal & Fusion Architectures** β€” combining heterogeneous inputs for robust prediction
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+ This list grows. If something is in our pipeline, it will eventually surface here.
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+ ---
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+ ## What You'll Find Here
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+ - **Datasets** β€” annotated and benchmark datasets released alongside our publications
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+ - **Model Checkpoints** β€” fine-tuned and adapter-based models from our research pipelines
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+ - **Reproducibility Artifacts** β€” configs, notebooks, and scripts to reproduce key results
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+ ## Selected Publications
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+ - **Transformer-Based Stock Movement Prediction for the Dhaka Stock Exchange** β€” *IJCIA 2023* Β· 120+ citations
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+ - **Temporal Coverage Bias in Emerging Market Financial Datasets** β€” *Under review, PLOS ONE* Β· arXiv preprint available
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+ - **DSE Coverage-Aware Clustering** β€” *Manuscript finalized, targeting Expert Systems with Applications*
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+ ## Get in Touch
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+ We welcome collaboration with researchers working on applied ML problems, particularly in low-resource, domain-specific, or underrepresented settings.
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+ Reach us at [ariserl.org](https://ariserl.org) or connect on [LinkedIn](https://bd.linkedin.com/company/ariserl24).