Desta Haileselassie Hagos

37 papers A* 1B 6C 3Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization.
ICDM
Desta Haileselassie Hagos, Legand L. Burge, Anietie Andy, Anis Yazidi, Vladimir Vlassov
2025 J jnl
BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization.
CoRR
Desta Haileselassie Hagos, Legand L. Burge, Anietie Andy, Anis Yazidi, Vladimir Vlassov
2024 J jnl
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions.
CoRR
Desta Haileselassie Hagos, Hassan El Alami, Danda B. Rawat
2024 B conf
Dynamic Model Selection for Asynchronous Federated Learning in IoBT Scenarios.
IEEE Big Data
Earl Tankard, Desta Haileselassie Hagos, Danda B. Rawat
2024 J jnl
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
IEEE Internet Things J.
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
2024 J jnl
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives.
CoRR
Danda B. Rawat, Hassan El Alami, Desta Haileselassie Hagos
2024 J jnl
Neuro-Symbolic AI for Military Applications.
CoRR
Desta Haileselassie Hagos, Danda B. Rawat
2024 J jnl
Neuro-Symbolic AI for Military Applications.
IEEE Trans. Artif. Intell.
Desta Haileselassie Hagos, Danda B. Rawat
2024 — conf
Practical and Ethical Considerations for Generative AI in Medical Imaging.
FAIMI/EPIMI@MICCAI
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
2024 J jnl
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives.
CoRR
Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
2024 J jnl
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives.
IEEE Trans. Artif. Intell.
Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
2023 — conf
A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems.
INFOCOM Workshops
Desta Haileselassie Hagos, Earl Tankard, Danda B. Rawat
2023 J jnl
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR
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
2023 C conf
Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT).
ICMLA
Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat
2022 C conf
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement.
DAIS
Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
2022 J jnl
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement.
CoRR
Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
2022 — conf
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.
SAM
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård
2022 J jnl
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.
CoRR
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård
2022 J jnl
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
CoRR
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
2022 J jnl
Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives.
Sensors
Desta Haileselassie Hagos, Danda B. Rawat
2022 J jnl
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks.
Remote. Sens.
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
2021 J jnl
A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature.
IEEE Internet Things J.
Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad
2021 J jnl
ExtremeEarth Meets Satellite Data From Space.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
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
2020 B conf
Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning.
ICCCN
Desta Haileselassie Hagos, Martin Løland, Anis Yazidi, Øivind Kure, Paal E. Engelstad
2020 — —
Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques.
Desta Haileselassie Hagos
2019 C conf
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP.
IPCCC
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz
2019 B conf
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements.
NCA
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi
2018 J jnl
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog.
Mob. Inf. Syst.
Ashish Rauniyar, Desta Haileselassie Hagos, Manish Shrestha
2018 — conf
A machine learning approach to TCP state monitoring from passive measurements.
Wireless Days
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
2018 J jnl
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques.
IEEE Access
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
2018 B conf
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements.
NCA
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
2018 B conf
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic.
ICCCN
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
2017 B conf
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques.
AINA
Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad
2016 J jnl
Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications.
Int. J. Grid High Perform. Comput.
Desta Haileselassie Hagos
2016 J jnl
The performance of network-controlled mobile data offloading from LTE to WiFi networks.
Telecommun. Syst.
Desta Haileselassie Hagos
2013 — conf
NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags.
IMIS
Samuel Idowu, Desta Haileselassie Hagos, Welderufael Berhane Tesfay, Abiola Famurewa, Juwel Rana, Kåre Synnes
2013 — conf
Study on performance-centric offload strategies for LTE networks.
WMNC
Desta Haileselassie Hagos, Rüdiger Kapitza