Vladimir Vlassov
Kungliga Tekniska högskolan
H-index: 23
Europe-Sweden
Top articles of Vladimir Vlassov
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders | Fabian Schmidt Karin Hammerfald Henrik Haaland Jahren Ole André Solbakken Amir H Payberah | 2023/7/2 | |
Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions | Ashish Rauniyar Desta Haileselassie Hagos Debesh Jha Jan Erik Håkegård Ulas Bagci | 2023/11/1 | |
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks | Sina Sheikholeslami Amir H Payberah Tianze Wang Jim Dowling Vladimir Vlassov | 2023/6/9 | |
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings using a Joint Loss Function | Joseph Attieh Abraham Woubie Zewoudie Vladimir Vlassov Adrian Flanagan Tom Bäckström | 2023 | |
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation | arXiv preprint arXiv:2308.09764 | Junhui Liang Ying Liu Vladimir Vlassov | 2023/8/18 |
Cloud-native RStudio on Kubernetes for Hopsworks | arXiv preprint arXiv:2307.09132 | Gibson Chikafa Sina Sheikholeslami Salman Niazi Jim Dowling Vladimir Vlassov | 2023/7/18 |
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes | arXiv preprint arXiv:2307.07370 | Guoyun Tu Ying Liu Vladimir Vlassov | 2023/7/14 |
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization | Tianze Wang Amir H. Payberah Vladimir Vlassov | 2023/12 | |
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks | Remote Sensing | Desta Haileselassie Hagos Theofilos Kakantousis Sina Sheikholeslami Tianze Wang Vladimir Vlassov | 2022/4/14 |
Hyperparameter optimization using agents for large scale machine learning | Pere Vergés Boncompte Vladimir Vlassov Rosa M Badia | 2022 | |
Node Context Selection in Transformer-Based Graph Representation Learning Models | Tianze Wang Amir H Payberah Vladimir Vlassov | 2022/12/17 | |
Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams | Muhammad Arsalan Davide Di Matteo Sana Imtiaz Zainab Abbas Vladimir Vlassov | 2022/12/9 | |
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement | Tianze Wang Amir H Payberah Desta Haileselassie Hagos Vladimir Vlassov | 2022/6/13 | |
Artificial Intelligence and Big Data Technologies for Copernicus Data: the ExtremeEarth Project | EUR | Manolis Koubarakis George Stamoulis Dimitris Bilidas Theofilos Ioannidis George George Mandilaras | 2021 |
Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers | David Gureya Joao Barreto Vladimir Vlassov | 2021/9/5 | |
The ExtremeEarth Software Architecture for Copernicus Earth Observation Data | Proceedings of the 2021 Conference on Big Data from Space, Publications Office of the European Union, Virtual Event | Desta Haileselassie Hagos Theofilos Kakantousis Vladimir Vlassov Sina Sheikholeslami Tianze Wang | 2021/5/17 |
PyDPLib: Python differential privacy library for private medical data analytics | Sana Imtiaz Philipp Matthies Francisco Pinto Màtè Maros Holger Wenz | 2021/9/5 | |
Autoablation: Automated parallel ablation studies for deep learning | Sina Sheikholeslami Moritz Meister Tianze Wang Amir H Payberah Vladimir Vlassov | 2021/4/26 | |
ExtremeEarth meets satellite data from space | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Desta Haileselassie Hagos Theofilos Kakantousis Vladimir Vlassov Sina Sheikholeslami Tianze Wang | 2021/8/26 |
Privacy preserving survival prediction | Stefano Fedeli Frida Schain Sana Imtiaz Zainab Abbas Vladimir Vlassov | 2021/12/15 |