A database for publications published by researchers and students at SimulaMet.
Research area
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 |
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 |
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
IEEE Access (2021).Status: Published
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | IEEE Access |
Publisher | IEEE |
Keywords | Benchmarking, colonoscopy, ColonSegNet, Deep Learning, Detection, Kvasir-SEG dataset, Localisation, Medical image segmentation, Polyps |
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Medical Image Analysis (2021).Status: Published
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Journal Article |
Year of Publication | 2021 |
Journal | Medical Image Analysis |
Publisher | Elsevier |
Keywords | artificial intelligence, BioMedia 2019 Grand Challenge, Computer-aided detection and diagnosis, Gastrointestinal endoscopy challenges, Medical imaging, Medico Task 2017, Medico Task 2018 |
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 |
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
In 27th International Conference on Multimedia Modeling. MediaEval 2020, 2021.Status: Published
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
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 | MediaEval 2020 |