Devendra Singh Dhami
Devendra Singh Dhami
PostDoctoral Researcher, Technische Universitšt Darmstadt
Geverifieerd e-mailadres voor tu-darmstadt.de - Homepage
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Drug‐drug interaction discovery: kernel learning from heterogeneous similarities
DS Dhami, G Kunapuli, M Das, D Page, S Natarajan
Smart Health 9, 88-100, 2018
162018
Fast relational probabilistic inference and learning: Approximate counting via hypergraphs
M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7816-7824, 2019
112019
Identifying parkinson’s patients: A functional gradient boosting approach
DS Dhami, A Soni, D Page, S Natarajan
Conference on Artificial Intelligence in Medicine in Europe, 332-337, 2017
102017
Machine learning applications to resting-state functional MR imaging analysis
JM Billings, M Eder, WC Flood, DS Dhami, S Natarajan, CT Whitlow
Neuroimaging Clinics 27 (4), 609-620, 2017
82017
Morphological classification of galaxies into spirals and non-spirals
DS Dhami
Indiana University, 2015
32015
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
M Das, DS Dhami, Y Yu, G Kunapuli, S Natarajan
8th ACM IKDD CODS and 26th COMAD, 110-118, 2021
2*2021
Non-parametric learning of gaifman models
DS Dhami, S Yan, G Kunapuli, S Natarajan
arXiv preprint arXiv:2001.00528, 2020
22020
Predicting drug-drug interactions from molecular structure images
DS Dhami, G Kunapuli, D Page, S Natarajan
AAAI Fall Symposium on AI for Social Good, 2019
12019
Knowledge-based morphological classification of galaxies from vision features
DS Dhami, D Leake, S Natarajan
Workshops at the thirty-first AAAI conference on artificial intelligence, 2017
12017
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan
International Conference on Artificial Intelligence in Medicine, 252-257, 2021
2021
Intriguing Parameters of Structural Causal Models
M Zečević, DS Dhami, K Kersting
arXiv preprint arXiv:2105.12697, 2021
2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
M Zečević, DS Dhami, A Karanam, S Natarajan, K Kersting
arXiv preprint arXiv:2102.10440, 2021
2021
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN
DS Dhami, S Yan, S Natarajan
arXiv preprint arXiv:2102.07007, 2021
2021
The Curious Case of Stacking Boosted Relational Dependency Networks
S Yan, DS Dhami, S Natarajan
''I Can't Believe It's Not Better!''NeurIPS 2020 workshop, 2020
2020
Knowledge Intensive Learning of Generative Adversarial Networks
DS Dhami, M Das, S Natarajan
KiML@ KDD, 2020
2020
Effective Learning with Heterogenous, Noisy, Multi-Relational Healthcare Data
DS Dhami
2020
Extraction of Morphological features of Galaxies using Computer Vision Methods
C Achgill, DS Dhami, T Alowaiseq
Morphological Classification of Galaxies based on Computer Vision features using CBR and Rule Based Systems
DS Dhami, T Alowaisheq
Approximate Counting for Fast Inference and Learning in Probabilistic Programming
M Das, DS Dhami, G Kunapuli, K Kersting, S Natarajan
Predicting Drug-Drug Interactions from Text using NLP and Privileged Information
AL Hayes, S Smith, DS Dhami, S Natarajan
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Artikelen 1–20