A database for publications published by researchers and students at SimulaMet.
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- Journal articles (137)
- Books (5)
- Proceedings, refereed (190)
- Book chapters (4)
- Talks, keynote (16)
- PhD theses (1)
- Proceedings, non-refereed (16)
- Posters (6)
- Technical reports (10)
- Talks, invited (150)
- Talks, contributed (11)
- Public outreach (41)
- Miscellaneous (8)
Journal articles
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
Neural Computation 33 (2021): 1-45.Status: Published
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | Neural Computation |
Volume | 33 |
Number | 1 |
Pagination | 1–45 |
Publisher | {MIT Press |
NB-IoT Random Access: Data-driven Analysis and ML-based Enhancements
IEEE Internet of Things Journal (2021).Status: Published
NB-IoT Random Access: Data-driven Analysis and ML-based Enhancements
In the context of massive Machine Type Communications (mMTC), the Narrowband Internet of Things (NB-IoT) technology is envisioned to efficiently and reliably deal with massive device connectivity. Hence, it relies on a tailored Random Access (RA) procedure, for which theoretical and empirical analyses are needed for a better understanding and further improvements. This paper presents the first data-driven analysis of NB-IoT RA, exploiting a large scale measurement campaign. We show how the RA procedure and performance are affected by network deployment, radio coverage, and operators’ configurations, thus complementing simulation-based investigations, mostly focused on massive connectivity aspects. Comparison with the performance requirements reveals the need for procedure enhancements. Hence, we propose a Machine Learning (ML) approach, and show that RA outcomes are predictable with good accuracy by observing radio conditions. We embed the outcome prediction in a RA enhanced scheme, and show that optimized configurations enable a power consumption reduction of at least 50%. We also make our dataset available for further exploration, toward the discovery of new insights and research perspectives.
Afilliation | Communication Systems, Machine Learning |
Project(s) | Department of Mobile Systems and Analytics |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | IEEE Internet of Things Journal |
Date Published | 01/2021 |
Publisher | IEEE |
Keywords | Cellular Internet of Things, Empirical Analysis, massive Machine Type Communications, Narrowband Internet of Things, Random Access |
Notes | Supplementary Materials, Results, and Dataset available at https://mosaic-simulamet.com/nbiot-randomaccess/ |
URL | https://ieeexplore.ieee.org/document/9324758 |
DOI | 10.1109/JIOT.2021.3051755 |
Archetypes of delay: An analysis of online developer conversations on delayed work items in IBM Jazz
Information and Software Technology 129 (2021): 106435.Status: Published
Archetypes of delay: An analysis of online developer conversations on delayed work items in IBM Jazz
Project(s) | Department of IT Management |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | Information and Software Technology |
Volume | 129 |
Pagination | 106435 |
Publisher | {Elsevier |
Estimating an Additive Path Cost with Explicit Congestion Notification
IEEE Transactions on Control of Network Systems (2021).Status: Published
Estimating an Additive Path Cost with Explicit Congestion Notification
Network Utility Maximization (NUM) is a well accepted theoretical framework that describes how congestion controls cooperate to achieve an ideal sending rate allocation, for given utility functions of senders and constraints of the network. These network constraints are expressed as a "cost'' in the framework. In practice, most congestion control mechanisms obtain feedback that is different from the framework's "cost''. This paper focuses on Explicit Congestion Notification (ECN), which has been shown to be advantageous when it is available, e.g. with the popular Datacenter TCP (DCTCP) mechanism. However, different from the framework's cost, ECN marks are not additive. We present a practical solution to this problem. Our solution changes how end hosts interpret the ECN signal, while for the router side, a special configuration of RED is used.
Afilliation | Communication Systems |
Project(s) | Department of Mobile Systems and Analytics |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | IEEE Transactions on Control of Network Systems |
Date Published | early release |
Publisher | IEEE |
Notes | Currently published in early access on IEEExplore. |
URL | https://doi.org/10.1109/TCNS.2021.3053179 |
DOI | 10.1109/TCNS.2021.3053179 |
Large scale “speedtest” experimentation in Mobile Broadband Networks
Computer Networks 1843013133vol. 329176, no. 31 (2021): 107629.Status: Published
Large scale “speedtest” experimentation in Mobile Broadband Networks
Afilliation | Communication Systems |
Project(s) | Department of Mobile Systems and Analytics |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | Computer Networks |
Volume | 1843013133vol. 329176 |
Issue | 31 |
Pagination | 107629 |
Date Published | Jan-01-2021 |
Publisher | Elsevier |
ISSN | 13891286 |
DOI | 10.1016/j.comnet.2020.107629 |
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
IEEE Journal of Biomedical and Health Informatics (2021).Status: Published
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | IEEE Journal of Biomedical and Health Informatics |
Publisher | IEEE |
Keywords | colonoscopy, conditional random field, generalization, Polyp segmentation, ResUNet++, test-time augmentation |
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
IEEE Journal of Selected Topics in Signal Processing (2021).Status: Published
A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings
Afilliation | Machine Learning |
Project(s) | TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | IEEE Journal of Selected Topics in Signal Processing |
Publisher | IEEE |
Proceedings, refereed
HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features
In 27th International Conference on Multimedia Modeling. Springer, 2021.Status: Published
HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2021 |
Conference Name | 27th International Conference on Multimedia Modeling |
Publisher | Springer |
Keywords | Accelerometer, Activity recognition, Audio, dataset, Sensor fusion |
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
In 25th International Conference on Pattern Recognition . Springer, 2021.Status: Published
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2021 |
Conference Name | 25th International Conference on Pattern Recognition |
Publisher | Springer |
Keywords | Benchmarking, Convolutional neural network, deep learning, Polyp segmentation |
Automatic Polyp Segmentation using U-Net-ResNet50
In Medico MediaEval 2020. MediaEval 2020, 2021.Status: Published
Automatic Polyp Segmentation using U-Net-ResNet50
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Proceedings, refereed |
Year of Publication | 2021 |
Conference Name | Medico MediaEval 2020 |
Publisher | MediaEval 2020 |