Artikel dengan mandat akses publik - Ashwin SrinivasanPelajari lebih lanjut
Tidak tersedia di mana pun: 3
An investigation into the role of domain-knowledge on the use of embeddings
L Vig, A Srinivasan, M Bain, A Verma
Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018
Mandat: Department of Science & Technology, India
An Ab Initio Method for Designing Multi‐Target Specific Pharmacophores using Complementary Interaction Field of Aspartic Proteases
R Kaalia, A Kumar, A Srinivasan, I Ghosh
Molecular Informatics 34 (6‐7), 380-393, 2015
Mandat: Department of Biotechnology, India, Department of Science & Technology, India
Application of machine learning techniques for inverse prediction in manufacturing process chains
S Shah, S Reddy, A Sardeshmukh, BP Gautham, G Shroff, A Srinivasan
Proceedings of the 3rd World Congress on Integrated Computational Materials …, 2015
Mandat: Department of Science & Technology, India
Tersedia di suatu tempat: 11
Incorporating symbolic domain knowledge into graph neural networks
T Dash, A Srinivasan, L Vig
Machine Learning 110 (7), 1609-1636, 2021
Mandat: Department of Science & Technology, India
Large-scale assessment of deep relational machines
T Dash, A Srinivasan, L Vig, OI Orhobor, RD King
Inductive Logic Programming: 28th International Conference, ILP 2018 …, 2018
Mandat: Department of Science & Technology, India
Logical explanations for deep relational machines using relevance information
A Srinivasan, L Vig, M Bain
Journal of Machine Learning Research 20 (130), 1-47, 2019
Mandat: Department of Science & Technology, India
Discrete stochastic search and its application to feature-selection for deep relational machines
T Dash, A Srinivasan, RS Joshi, A Baskar
International conference on artificial neural networks, 29-45, 2019
Mandat: Department of Science & Technology, India
ILP-assisted de novo drug design
R Kaalia, A Srinivasan, A Kumar, I Ghosh
Machine Learning 103, 309-341, 2016
Mandat: Department of Biotechnology, India, Department of Science & Technology, India
What kinds of relational features are useful for statistical learning?
A Saha, A Srinivasan, G Ramakrishnan
Inductive Logic Programming: 22nd International Conference, ILP 2012 …, 2013
Mandat: Department of Science & Technology, India
Multiple target-based pharmacophore design from active site structures
P Kumar, R Kaalia, A Srinivasan, I Ghosh
SAR and QSAR in Environmental Research 29 (1), 1-19, 2018
Mandat: Department of Biotechnology, India, Department of Science & Technology, India
An empirical study of on-line models for relational data streams
A Srinivasan, M Bain
Machine Learning 106 (2), 243-276, 2017
Mandat: Department of Science & Technology, India
Domain-specific pre-training improves confidence in whole slide image classification
SR Chitnis, S Liu, T Dash, TT Verlekar, A Di Ieva, S Berkovsky, L Vig, ...
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
Mandat: National Health and Medical Research Council, Australia
Generating novel leads for drug discovery using LLMs with logical feedback
SB Brahmavar, A Srinivasan, T Dash, SR Krishnan, L Vig, A Roy, R Aduri
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 21-29, 2024
Mandat: Department of Biotechnology, India
Constructing generative logical models for optimisation problems using domain knowledge
A Srinivasan, L Vig, G Shroff
Machine Learning 109 (7), 1371-1392, 2020
Mandat: Department of Science & Technology, India
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