Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
- Emre Sahin
- Benjamin C.B. Symons
- et al.
- 2024
- Quantum
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- Machine Learning
1370 results for Machine Learning
AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors
- Raul Fernandez-Dıaz
- Rodrigo Cossio-Perez
- et al.
- 2024
- Bioinformatics
Factorizers for Distributed Sparse Block Codes
- 2024
- Neurosymbolic AI
Bridging the Gap: Leveraging Data Science to Equip Domain Experts with the Tools to Address Challenges in Maternal, Newborn, and Child Health
- Girmaw Abebe Tadesse
- William Ogallo
- et al.
- 2024
- npj Women's Health
Simulating CO2 diffusivity in rigid and flexible Mg-MOF-74 with machine-learning force fields
- Bowen Zheng
- Grace Gu
- et al.
- 2024
- APL Mach. Learn.
Overcoming limitations in current measures of drug response may enable AI-driven precision oncology
- Katja Ovchinnikova
- Jannis Born
- et al.
- 2024
- npj Precision Oncology
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects
- Elisa Warner
- Joonsang Lee
- et al.
- 2024
- IJCV
A Physics Inspired Approach to the Understanding of Molecular Representations and Models
- Luke Dicks
- David Graff
- et al.
- 2024
- MSDE
From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma
- Simona Rabinovici-Cohen
- Naomi Fridman
- et al.
- 2024
- Cancers
Dynamically Meaningful Latent Representations of Dynamical Systems
- Imran Nasim
- Michael E. Henderson
- 2024
- Mathematics