publications

2025

  1. Tools and Methods for Distributed and Large-Scale Training of Deep Neural Networks
    Sina Sheikholeslami
    🎓 KTH Royal Institute of Technology, 2025
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  2. Utilizing Large Language Models for Ablation Studies in Machine Learning and Deep Learning
    Sina Sheikholeslami, Hamid Ghasemirahni, Amir H Payberah, and 3 more authors
    In Proceedings of the 5th Workshop on Machine Learning and Systems, 2025
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2024

  1. Deep Neural Network Weight Initialization from Hyperparameter Tuning Trials
    Sina Sheikholeslami, Tianze Wang, Amir. H Payberah, and 2 more authors
    In Proceedings of The 31st International Conference on Neural Information Processing (ICONIP), 2024
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  2. DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems
    Tobias Johannesson, Isak Rubensson, Sina Sheikholeslami, and 2 more authors
    In 2024 IEEE International Conference on Big Data (BigData), 2024
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  3. A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood
    Zihao Xu, Peter Nordström, Sina Sheikholeslami, and 2 more authors
    In 2024 IEEE International Conference on Big Data (BigData), 2024
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2023

  1. The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks
    Sina Sheikholeslami, Amir H Payberah, Tianze Wang, and 2 more authors
    In 🏆 IFIP International Conference on Distributed Applications and Interoperable Systems, 2023
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2022

  1. Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks
    Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, and 6 more authors
    Remote Sensing, 2022
  2. Cloud-native RStudio on Kubernetes for Hopsworks
    Gibson Chikafa, Sina Sheikholeslami, Salman Niazi, and 2 more authors
    Advances in Parallel & Distributed Processing, and Applications, 2022
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2021

  1. Siamese neural networks for detecting complementary products
    Marina Angelovska, Sina Sheikholeslami, Bas Dunn, and 1 more author
    In Proceedings of the 16th conference of the European chapter of the association for computational linguistics: student research workshop, 2021
  2. AutoAblation: Automated Parallel Ablation Studies for Deep Learning
    Sina Sheikholeslami, Moritz Meister, Tianze Wang, and 3 more authors
    In Proceedings of the 1st Workshop on Machine Learning and Systems, 2021
  3. The ExtremeEarth Software Architecture for Copernicus Earth Observation Data
    Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, and 8 more authors
    In Proceedings of the 2021 Conference on Big Data from Space (BiDS’21), 2021
  4. Artificial Intelligence and Big Data Technologies for Copernicus Data: The ExtremeEarth Project
    Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, and 8 more authors
    In Proceedings of the 2021 Conference on Big Data from Space (BiDS’21), 2021
  5. ExtremeEarth Meets Satellite Data from Space
    Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, and 8 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
  6. A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation
    Albert Asratyan, Sina Sheikholeslami, and Vladimir Vlassov
    In 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

  1. Towards Distribution Transparency for Supervised ML With Oblivious Training Functions
    Moritz Meister, Sina Sheikholeslami, Robin Andersson, and 2 more authors
    In Workshop on MLOps Systems, 2020
  2. Maggy: Scalable Asynchronous Parallel Hyperparameter Search
    Moritz Meister, Sina Sheikholeslami, Amir H Payberah, and 2 more authors
    In Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

2019

  1. Ablation Programming for Machine Learning
    Sina Sheikholeslami
    KTH Royal Institute of Technology, 2019