232 citations
- University of DelhiIN8 papers
- Multimedia UniversityMY4 papers
- Ruhr University BochumDE3 papers
- University College LondonGB3 papers
- University of MalayaMY3 papers
- University of OxfordGB3 papers
- American University of SharjahAE2 papers
- Argonne National LaboratoryUS2 papers
- Baruch CollegeUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Delft University of TechnologyNL2 papers
- East China Normal UniversityCN2 papers
110 papers
A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions
Mirza Niaz Morshed, Md. Masudul Islam, Galib Muhammad Shahriar Himel +3
One-Pixel Attacks (OPAs) represent one of the most extreme demonstrations of adversarial fragility in deep learning, where modifying a single pixel can reliably induce high-confide…
Two-Stage Bengali Sentiment Classification: Domain Adaptation Through Continual Learning and Parameter-Efficient Fine-Tuning
MD Shaikh Rahman, Syed Maudud E Rabbi, Muhammad Mahbubur Rashid
Understanding sentiment in low-resource languages remains a key challenge for Natural Language Processing (NLP), particularly when domain-specific data is scarce. In this work, we…
Exploring the Viability of Fisher Discriminants in Galaxy Morphology Classification
Sazatul Nadhilah Zakaria, Santtosh Muniyandy, John Y. H. Soo
One of the major challenges in astronomy involves accurately classifying galaxies, particularly distinguishing between different galaxy types. While many complex algorithms have sh…
ORCH: many analyses, one merge-a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing
Hanlin Zhou, Huah Yong Chan
Recent advances in large-scale language models (LLMs) have made multi-agent architectures attractive for challenging reasoning tasks. However, many existing systems rely on stochas…
Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
Hanlin Zhou, Huah Yong Chan, Jingfei Ni +2
In this paper, HTTP status codes are used as custom metrics within the HPA as the experimental scenario. By integrating the Random Forest classification algorithm from machine lear…
Advancing resistivity-chargeability modeling for complex subsurface characterization using machine learning and deep learning
Adedibu Sunny Akingboye, Andy Anderson Bery, Hui Tang +4
Subsurface lithological heterogeneity presents challenges for traditional geophysical methods, particularly in resolving nonlinear electrical resistivity and induced polarization (…