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Publication search results
found 69 matches
- 2024
- Orlinda Brahimllari, Sandra Eloranta, Patrik Georgii-Hemming, Zahra Haider, Sabine Koch
, Aleksandra Krstic, Frantzeska Papadopoulou Skarp, Richard Rosenquist
, Karin E. Smedby, Fulya Taylan
, Birna Thorvaldsdottir, Valtteri Wirta, Tove Wästerlid, Magnus Boman
:
Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis. Health Informatics J. 30(4) (2024) - Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
Continual Learning Under Language Shift. TSD (1) 2024: 71-84 - Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Dejan Kostic, Magnus Boman, Thiemo Voigt:
Robust Generalization of Graph Neural Networks for Carrier Scheduling. CoRR abs/2407.08479 (2024) - 2023
- Magnus Boman
:
Human-Curated Validation of Machine Learning Algorithms for Health Data. Digit. Soc. 2(3): 46 (2023) - Daniel F. Perez-Ramirez
, Carlos M. Pérez-Penichet
, Nicolas Tsiftes
, Thiemo Voigt
, Dejan Kostic
, Magnus Boman
:
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. IPSN 2023: 163-176 - Giacomo Verardo, Magnus Boman, Samuel Bruchfeld, Marco Chiesa, Sabine Koch, Gerald Q. Maguire Jr., Dejan Kostic:
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge. CoRR abs/2310.05848 (2023) - Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
A Study of Continual Learning Under Language Shift. CoRR abs/2311.01200 (2023) - 2022
- Rasoul Behravesh
, Akhila Rao, Daniel F. Perez-Ramirez, Davit Harutyunyan
, Roberto Riggio
, Magnus Boman
:
Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH). IEEE Trans. Netw. Serv. Manag. 19(4): 4779-4793 (2022) - Diarmuid Corcoran, Per Kreuger, Magnus Boman:
A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning. CNSM 2022: 338-344 - 2021
- Marcos Fernández Carbonell, Magnus Boman
, Petri Laukka
:
Comparing supervised and unsupervised approaches to multimodal emotion recognition. PeerJ Comput. Sci. 7: e804 (2021) - Diarmuid Corcoran, Per Kreuger, Magnus Boman:
Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning. CNSM 2021: 216-224 - Evangelia Gogoulou, Magnus Boman, Fehmi Ben Abdesslem, Nils Hentati Isacsson, Viktor Kaldo, Magnus Sahlgren:
Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural Therapy. EACL 2021: 575-580 - Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman:
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. CoRR abs/2112.12985 (2021) - 2020
- Natalia Vesselinova
, Rebecca Steinert
, Daniel F. Perez-Ramirez, Magnus Boman
:
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. IEEE Access 8: 120388-120416 (2020) - Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman:
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking. CoRR abs/2005.11081 (2020) - 2019
- Magnus Boman
, Fehmi Ben Abdesslem, Erik Forsell
, Daniel Gillblad
, Olof Görnerup, Nils Isacsson, Magnus Sahlgren, Viktor Kaldo:
Learning machines in Internet-delivered psychological treatment. Prog. Artif. Intell. 8(4): 475-485 (2019) - 2018
- Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad:
Learning Machines. AAAI Spring Symposia 2018 - Dominik Harz
, Magnus Boman:
The Scalability of Trustless Trust. Financial Cryptography Workshops 2018: 279-293 - Dominik Harz, Magnus Boman:
The Scalability of Trustless Trust. CoRR abs/1801.09535 (2018) - 2015
- Magnus Boman, Pedro Sanches
:
Sensemaking in Intelligent Health Data Analytics. Künstliche Intell. 29(2): 143-152 (2015) - Martin Lingonblad, Ludvig Londos, Arvid Nilsson, Emil Boman, Jens Nirme, Magnus Haake
:
Virtual Blindness - A Choice Blindness Experiment with a Virtual Experimenter. IVA 2015: 442-451 - 2014
- Magnus Boman, Daniel Gillblad
:
Learning machines for computational epidemiology. IEEE BigData 2014: 1-5 - Pedro Sanches, Eric-Oluf Svee, Markus Bylund, Benjamin Hirsch, Magnus Boman:
Knowing Your Population: Privacy-Sensitive Mining of Massive Data. CoRR abs/1412.2247 (2014) - 2013
- Pedro Sanches
, Eric-Oluf Svee, Markus Bylund, Benjamin Hirsch
, Magnus Boman:
Knowing Your Population: Privacy-Sensitive Mining of Massive Data. Netw. Commun. Technol. 2(1): 34-51 (2013) - Magnus Boman, Paul Davidsson, Håkan L. S. Younes:
Artificial Decision Making Under Uncertainty in Intelligent Buildings. CoRR abs/1301.6680 (2013) - 2011
- Baki Cakici
, Magnus Boman:
A workflow for software development within computational epidemiology. J. Comput. Sci. 2(3): 216-222 (2011) - 2010
- Katarina Borg Gyllenbäck, Magnus Boman:
Narrative Bridging. DCC 2010: 525-544 - Wah-Sui Almberg, Magnus Boman:
An Ontological Quantum Mechanics Model of Influenza. ERCIM News 2010(82): 42 (2010) - 2009
- Olof Görnerup, Magnus Boman:
A baseline for content-based blog classification. CoRR abs/0909.4416 (2009) - 2007
- Magnus Boman, Stefan J. Johansson:
Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games. DiGRA Conference 2007
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