38 citations
- National Research and Innovation AgencyID7 papers
- University of IndonesiaID5 papers
- University of GroningenNL3 papers
- Asia Pacific Center for Theoretical PhysicsKR2 papers
- Bandung Institute of TechnologyID2 papers
- Japan Advanced Institute of Science and TechnologyJP2 papers
- Ruhr West University of Applied SciencesDE2 papers
- American International University-BangladeshBD1 paper
- Arizona State UniversityUS1 paper
- Bioengineering CenterRU1 paper
- Green University of BangladeshBD1 paper
- Karolinska InstitutetSE1 paper
32 papers
Reducing Labeling Effort in Architecture Technical Debt Detection through Active Learning and Explainable AI
Edi Sutoyo, Paris Avgeriou, Andrea Capiluppi
Self-Admitted Technical Debt (SATD) refers to technical compromises explicitly admitted by developers in natural language artifacts, such as code comments, commit messages, and iss…
Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction
Malikussaid, Septian Caesar Floresko, Ade Romadhony +3
Lipophilicity (logP) prediction remains central to drug discovery, yet linear regression models for this task frequently violate statistical assumptions in ways that invalidate the…
Mobile Robot Localization via Indoor Positioning System and Odometry Fusion
Muhammad Hafil Nugraha, Fauzi Abdul, Lastiko Bramantyo +3
Accurate localization is crucial for effectively operating mobile robots in indoor environments. This paper presents a comprehensive approach to mobile robot localization by integr…
Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger +9
4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low s…
Bridging the Plausibility-Validity Gap by Fine-Tuning a Reasoning-Enhanced LLM for Chemical Synthesis and Discovery
Malikussaid, Hilal Hudan Nuha, Isman Kurniawan
Large Language Models frequently generate outputs that appear scientifically reasonable yet violate fundamental principles--a phenomenon we characterize as the "plausibility-validi…
VALID-Mol: a Systematic Framework for Validated LLM-Assisted Molecular Design
Malikussaid, Hilal Hudan Nuha, Isman Kurniawan
Large Language Models demonstrate substantial promise for advancing scientific discovery, yet their deployment in disciplines demanding factual precision and specialized domain con…