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Veličković, Petar
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1

Geometric epitope and paratope prediction:

Pegoraro, Marco ; Dominé, Clémentine ; Rodolà, Emanuele...
Bioinformatics.  40 (2024)  7 - p. , 2024
Link: https://doi.org/10.1093/..
 
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2

TacticAI: an AI assistant for football tactics:

Wang, Zhe ; Veličković, Petar ; Hennes, Daniel...
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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3

Publisher Correction: Scientific discovery in the age of ar..:

Wang, Hanchen ; Fu, Tianfan ; Du, Yuanqi...
Nature.  621 (2023)  7978 - p. E33-E33 , 2023
Link: https://doi.org/10.1038/..
 
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4

Everything is connected: Graph neural networks:

Veličković, Petar
Current Opinion in Structural Biology.  79 (2023)  - p. 102538 , 2023
Link: https://doi.org/10.1016/..
 
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5

Scientific discovery in the age of artificial intelligence:

Wang, Hanchen ; Fu, Tianfan ; Du, Yuanqi...
Nature.  620 (2023)  7972 - p. 47-60 , 2023
Link: https://doi.org/10.1038/..
 
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6

Neural algorithmic reasoning:

Veličković, Petar ; Blundell, Charles
Patterns.  2 (2021)  7 - p. 100273 , 2021
Link: https://doi.org/10.1016/..
 
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7

ETA Prediction with Graph Neural Networks in Google Maps:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Derrow-Pinion, Austin ; She, Jennifer ; Wong, David... - p. 3767-3776 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Advancing mathematics by guiding human intuition with AI:

Davies, Alex ; Veličković, Petar ; Buesing, Lars...
Nature.  600 (2021)  7887 - p. 70-74 , 2021
Link: https://doi.org/10.1038/..
 
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9

ChronoMID—Cross-modal neural networks for 3-D temporal medi..:

Rakowski, Alexander G. ; Veličković, Petar ; Dall'Ara, Enrico..
PLOS ONE.  15 (2020)  2 - p. e0228962 , 2020
Link: https://doi.org/10.1371/..
 
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10

Using deep data augmentation training to address software a..:

, In: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks,
Mathur, Akhil ; Zhang, Tianlin ; Bhattacharya, Sourav... - p. 200-211 , 2018
Link: https://dl.acm.org/doi/1..
 
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11

Cross-modal Recurrent Models for Weight Objective Predictio..:

, In: Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare,
Veličković, Petar ; Karazija, Laurynas ; Lane, Nicholas D.... - p. 178-186 , 2018
Link: https://dl.acm.org/doi/1..
 
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12

Scaling health analytics to millions without compromising p..:

, In: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare,
Veličković, Petar ; Lane, Nicholas D. ; Bhattacharya, Sourav... - p. 92-100 , 2017
Link: https://dl.acm.org/doi/1..
 
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13

Muxstep: an open-source C ++ multiplex HMM library for maki..:

Veličković, Petar ; Liò, Pietro
Bioinformatics.  32 (2016)  16 - p. 2562-2564 , 2016
Link: https://doi.org/10.1093/..
 
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14

Molecular multiplex network inference using Gaussian mixtur..:

Veličković, Petar ; Liò, Pietro
Journal of Complex Networks.  , 2015
Link: https://doi.org/10.1093/..
 
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15

INJURY FREQUENCY IN ARTISTIC GYMNASTICS – A SYSTEMATIC REVI..:

Paunović, Miloš ; Đorđević, Dušan ; Veličković, Saša...
http://casopisi.junis.ni.ac.rs/index.php/FUTeachLearnTeachEd/article/view/12158/5072.  , 2023
Link: http://casopisi.junis.ni..
 
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