According to our database1, Petar Velickovic authored at least 10 papers between 2016 and 2018.
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Parapred: antibody paratope prediction using convolutional and recurrent neural networks.
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
Automatic Inference of Cross-Modal Connection Topologies for X-CNNs.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018
Graph Attention Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
Multi-omics data integration using cross-modal neural networks.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Scaling health analytics to millions without compromising privacy using deep distributed behavior models.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
Molecular multiplex network inference using Gaussian mixture hidden Markov models.
J. Complex Networks, 2016
Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types.
X-CNN: Cross-modal convolutional neural networks for sparse datasets.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016