Desta Haileselassie Hagos

According to our database, Desta Haileselassie Hagos authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Danda B. Rawat, Vladimir Vlassov

IEEE Internet Things J., 2024

Neuro-Symbolic AI for Military Applications.

Desta Haileselassie Hagos, Danda B. Rawat

CoRR, 2024

Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives.

Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat

CoRR, 2024

Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives.

Danda B. Rawat, Hassan El Alami, Desta Haileselassie Hagos

CoRR, 2024

Practical and Ethical Considerations for Generative AI in Medical Imaging.

Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

CoRR, 2023

A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems.

Desta Haileselassie Hagos, Earl Tankard, Danda B. Rawat

Proceedings of the IEEE INFOCOM 2023, 2023

Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT).

Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives.

Desta Haileselassie Hagos, Danda B. Rawat

Sensors, 2022

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks.

Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling

Remote. Sens., 2022

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement.

Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov

CoRR, 2022

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.

Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement.

Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov

Proceedings of the Distributed Applications and Interoperable Systems: 22nd IFIP WG 6.1 International Conference, 2022

2021

ExtremeEarth Meets Satellite Data From Space.

Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature.

Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad

IEEE Internet Things J., 2021

2020

Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques.

Desta Haileselassie Hagos

PhD thesis, 2020

Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning.

Desta Haileselassie Hagos, Martin Løland, Anis Yazidi, Øivind Kure, Paal E. Engelstad

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019

Classification of Delay-based TCP Algorithms From Passive Traffic Measurements.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi

Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

2018

A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog.

Ashish Rauniyar, Desta Haileselassie Hagos, Manish Shrestha

Mob. Inf. Syst., 2018

General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure

IEEE Access, 2018

A machine learning approach to TCP state monitoring from passive measurements.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure

Proceedings of the 2018 Wireless Days, 2018

Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure

Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic.

Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017

Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques.

Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad

Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

2016

The performance of network-controlled mobile data offloading from LTE to WiFi networks.

Desta Haileselassie Hagos

Telecommun. Syst., 2016

Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications.

Desta Haileselassie Hagos

Int. J. Grid High Perform. Comput., 2016

2013

Study on performance-centric offload strategies for LTE networks.

Desta Haileselassie Hagos, Rüdiger Kapitza

Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference, 2013

NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags.

Samuel Idowu, Desta Haileselassie Hagos, Welderufael Berhane Tesfay, Abiola Famurewa, Juwel Rana, Kåre Synnes

Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2013