Andreas Johnsson

Meta Learning for Improved Policy Transfer in Changing Network Environments

Damberg, Simon; Larsson, Hannes; Johnsson, Andreas

Ingår i 2025 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT, s. 508-512, 2025

DOI för Meta Learning for Improved Policy Transfer in Changing Network Environments

Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection

Kaveh, Amin; Wassberg, Noah; Rohner, Christian; Johnsson, Andreas

Ingår i 2025 IEEE 11TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION, NETSOFT, s. 537-545, 2025

DOI för Factors Influencing LSTM Model Generalizability for IoT Intrusion Detection

Change point detection with adaptive measurement schedules for network performance verification

Lindståhl, Simon; Proutiére, Alexandre; Johnsson, Andreas

Ingår i SIGMETRICS/PERFORMANCE '24, s. 83-84, 2024

DOI för Change point detection with adaptive measurement schedules for network performance verification

On Multi-Objective Neural Architecture Search for Modeling Network Performance

Orucu, Adam; Moradi, Farnaz; Ehrahimi, Masoumeh; Johnsson, Andreas

Ingår i 2024 15th International Conference on Network of the Future, NoF 2024, s. 214-218, 2024

DOI för On Multi-Objective Neural Architecture Search for Modeling Network Performance

Impact of Attack Variations and Topology on IoT Intrusion Detection Model Generalizability

Kaveh, Amin; Rohner, Christian; Johnsson, Andreas

Ingår i 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems (MASS), s. 364-370, 2024

DOI för Impact of Attack Variations and Topology on IoT Intrusion Detection Model Generalizability

Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks

Rao, Akhila; Riaz, Hassam; Zavodovski, Aleksandr; Mochaourab, Rami et al.

Ingår i NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024

DOI för Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks

Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment

Samani, Forough Shahab; Larsson, Hannes; Damberg, Simon; Johnsson, Andreas et al.

Ingår i NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024

DOI för Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment

RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks

Lindståhl, Simon; Proutiere, Alexandre; Johnsson, Andreas

Ingår i Proceedings of the 8Th Network Traffic Measurement and Analysis Conference, TMA 2024, s. 1-11, 2024

DOI för RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks

On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT

Kaveh, Amin; Pettersson, Adam; Rohner, Christian; Johnsson, Andreas

Ingår i NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 2023

DOI för On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT

Domain Adaptation for Network Performance Modeling with and without Labeled Data

Larsson, Hannes; Moradi, Farnaz; Taghia, Jalil; Lan, Xiaoyu et al.

Ingår i NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, s. 1-9, 2023

DOI för Domain Adaptation for Network Performance Modeling with and without Labeled Data

Prediction and Exposure of Delays from a Base Station Perspective in 5G and Beyond Networks

Rao, Akhila; Tarneberg, William; Fitzgerald, Emma; Corneo, Lorenzo et al.

Ingår i PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 WORKSHOP ON 5G AND BEYOND NETWORK MEASUREMENTS, MODELING, AND USE CASES, 5G-MEMU 2022, s. 8-14, 2022

DOI för Prediction and Exposure of Delays from a Base Station Perspective in 5G and Beyond Networks

Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks

Sanz, Fernando Garcia; Ebrahimi, Masoumeh; Johnsson, Andreas

Ingår i PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022, 2022

DOI för Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks

Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network

Taghia, Jalil; Moradi, Farnaz; Larsson, Hannes; Lan, Xiaoyu et al.

Ingår i IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022

DOI för Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network

Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach

Lindståhl, Simon; Proutiere, Alexandre; Johnsson, Andreas

Ingår i GLOBECOM 2022, s. 1484-1490, 2022

DOI för Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach

Policy-Induced Unsupervised Feature Selection: A Networking Case Study

Taghia, Jalil; Moradi, Farnaz; Larsson, Hannes; Lan, Xiaoyu et al.

Ingår i IEEE Conference on Computer Communications (IEEE INFOCOM 2022), s. 750-759, 2022

DOI för Policy-Induced Unsupervised Feature Selection: A Networking Case Study

Source Selection in Transfer Learning for Improved Service Performance Predictions

Larsson, Hannes; Taghia, Jalil; Moradi, Farnaz; Johnsson, Andreas

Ingår i 2021 IFIP Networking Conference and Workshops (IFIP Networking), 2021

DOI för Source Selection in Transfer Learning for Improved Service Performance Predictions

On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction

Sanz, Fernando Garcia; Ebrahimi, Masoumeh; Johnsson, Andreas

Ingår i 2021 IEEEGlobal Communications Conference (GLOBECOM), 2021

DOI för On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction

Decentralizing Computation with Edge Computing: Potential and Challenges

Zavodovski, Aleksandr; Corneo, Lorenzo; Johnsson, Andreas; Mohan, Nitinder et al.

Ingår i IWCI'21, s. 34-36, 2021

DOI för Decentralizing Computation with Edge Computing: Potential and Challenges

Towards Source Selection in Transfer Learning for Cloud Performance Prediction

Larsson, Hannes; Taghia, Jalil; Moradi, Farnaz; Johnsson, Andreas

Ingår i 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM), s. 599-603, 2021

Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators

Flinta, Christofer; Yan, Wenqing; Johnsson, Andreas

Ingår i NOMS 2020 - PROCEEDINGS OF THE 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2020, 2020

Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators

Flinta, Christofer; Yan, Wenqing; Johnsson, Andreas

2020

DOI för Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators

Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign

Tarneberg, William; Hamsis, Omar; Hedlund, John; Brunnström, Kjell et al.

Ingår i 2020 28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020, 2020

DOI för Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign

Machine-Learning Based Active Measurement Proxy for IoT Systems

Yan, Wenqing; Flinta, Christofer; Johnsson, Andreas

Ingår i 2019 IFIP/IEEE Symposium On Integrated Network And Service Management (IM), s. 198-206, 2019

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