Petar Velickovic

According to our database1, Petar Velickovic authored at least 16 papers between 2016 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Deep Graph Infomax.
CoRR, 2018

Attentive cross-modal paratope prediction.
CoRR, 2018

Automatic Inference of Cross-modal Connection Topologies for X-CNNs.
CoRR, 2018

Parapred: antibody paratope prediction using convolutional and recurrent neural networks.
Bioinformatics, 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

Multi-omics data integration using cross-modal neural networks.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders.
CoRR, 2017

Graph Attention Networks.
CoRR, 2017

Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data.
CoRR, 2017

XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification.
CoRR, 2017

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

X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets.
CoRR, 2016

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.
Bioinformatics, 2016

X-CNN: Cross-modal convolutional neural networks for sparse datasets.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016