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Magnus Boman
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2020 – today
- 2024
- [j21]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) - [c26]Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
Continual Learning Under Language Shift. TSD (1) 2024: 71-84 - [i18]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
- [j20]Magnus Boman
:
Human-Curated Validation of Machine Learning Algorithms for Health Data. Digit. Soc. 2(3): 46 (2023) - [c25]Daniel F. Perez-Ramirez
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. IPSN 2023: 163-176 - [i17]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) - [i16]Evangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim Nivre:
A Study of Continual Learning Under Language Shift. CoRR abs/2311.01200 (2023) - 2022
- [j19]Rasoul Behravesh
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) - [c24]Diarmuid Corcoran, Per Kreuger, Magnus Boman:
A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning. CNSM 2022: 338-344 - 2021
- [j18]Marcos Fernández Carbonell, Magnus Boman
Comparing supervised and unsupervised approaches to multimodal emotion recognition. PeerJ Comput. Sci. 7: e804 (2021) - [c23]Diarmuid Corcoran, Per Kreuger, Magnus Boman:
Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning. CNSM 2021: 216-224 - [c22]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 - [i15]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
- [j17]Natalia Vesselinova
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. IEEE Access 8: 120388-120416 (2020) - [i14]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)
2010 – 2019
- 2019
- [j16]Magnus Boman
Learning machines in Internet-delivered psychological treatment. Prog. Artif. Intell. 8(4): 475-485 (2019) - 2018
- [c21]Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad:
Learning Machines. AAAI Spring Symposia 2018 - [c20]Dominik Harz
The Scalability of Trustless Trust. Financial Cryptography Workshops 2018: 279-293 - [i13]Dominik Harz, Magnus Boman:
The Scalability of Trustless Trust. CoRR abs/1801.09535 (2018) - 2015
- [j15]Magnus Boman, Pedro Sanches
Sensemaking in Intelligent Health Data Analytics. Künstliche Intell. 29(2): 143-152 (2015) - 2014
- [c19]Magnus Boman, Daniel Gillblad
Learning machines for computational epidemiology. IEEE BigData 2014: 1-5 - [i12]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
- [j14]Pedro Sanches
Knowing Your Population: Privacy-Sensitive Mining of Massive Data. Netw. Commun. Technol. 2(1): 34-51 (2013) - [i11]Magnus Boman, Paul Davidsson, Håkan L. S. Younes:
Artificial Decision Making Under Uncertainty in Intelligent Buildings. CoRR abs/1301.6680 (2013) - 2011
- [j13]Baki Cakici
A workflow for software development within computational epidemiology. J. Comput. Sci. 2(3): 216-222 (2011) - 2010
- [c18]Katarina Borg Gyllenbäck, Magnus Boman:
Narrative Bridging. DCC 2010: 525-544 - [i10]Wah-Sui Almberg, Magnus Boman:
An Ontological Quantum Mechanics Model of Influenza. ERCIM News 2010(82): 42 (2010)
2000 – 2009
- 2009
- [i9]Olof Görnerup, Magnus Boman:
A baseline for content-based blog classification. CoRR abs/0909.4416 (2009) - 2007
- [c17]Magnus Boman, Stefan J. Johansson:
Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games. DiGRA Conference 2007 - [i8]Magnus Boman, Stefan J. Johansson:
Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games. CoRR abs/0705.4584 (2007) - [i7]Magnus Boman, Kristofer Franzén, Fredrik Espinoza:
Collective Completion: How do YOU Complete your Unknown Colleagues? ERCIM News 2007(70) (2007) - 2006
- [j12]Magnus Boman, Anna Sandin:
Implementing an agent trade server. Decis. Support Syst. 42(1): 318-327 (2006) - 2005
- [j11]Paul Davidsson
Distributed monitoring and control of office buildings by embedded agents. Inf. Sci. 171(4): 293-307 (2005) - 2004
- [j10]Jan Odelstad, Magnus Boman:
Algebras for Agent Norm-Regulation. Ann. Math. Artif. Intell. 42(1-3): 141-166 (2004) - [j9]Stina Nylander, Markus Bylund, Magnus Boman:
Mobile access to real-time information-the case of autonomous stock brokering. Pers. Ubiquitous Comput. 8(1): 42-46 (2004) - [j8]David Lybäck, Magnus Boman:
Agent trade servers in financial exchange systems. ACM Trans. Internet Techn. 4(3): 329-339 (2004) - 2003
- [c16]Jarmo Laaksolahti, Magnus Boman:
Anticipatory Guidance of Plot. ABiALS 2003: 243-261 - [i6]Magnus Boman, Anna Sandin:
Implementing an Agent Trade Server. CoRR cs.CE/0307064 (2003) - [i5]Jan Odelstad, Magnus Boman:
Algebras for Agent Norm-Regulation. CoRR cs.LO/0311046 (2003) - 2002
- [i4]Jarmo Laaksolahti, Magnus Boman:
Anticipatory Guidance of Plot. CoRR cs.AI/0206041 (2002) - [i3]David Lybäck, Magnus Boman:
Agent trade servers in financial exchange systems. CoRR cs.CE/0203023 (2002) - [i2]Magnus Boman, Stefan J. Johansson, David Lybäck:
Parrondo Strategies for Artificial Traders. CoRR cs.CE/0204051 (2002) - [i1]Magnus Boman, Markus Bylund, Fredrik Espinoza, Mats Danielson, David Lybäck:
Trading Agents for Roaming Users. CoRR cs.CE/0204056 (2002) - 2001
- [j7]Koen Bertels, Magnus Boman:
Agent-Based Social Simulation in Markets. Electron. Commer. Res. 1(1/2): 149-158 (2001) - [j6]Magnus Boman, Lisa Brouwers, Karin Hansson, Carl-Gustaf Jansson, Johan Kummeneje, Harko Verhagen:
Artificial Agent Action in Markets. Electron. Commer. Res. 1(1/2): 159-168 (2001) - 2000
- [c15]Magnus Boman, Love Ekenberg
Risk Constraints in Agent Conflicts. DEXA Workshop 2000: 565-576 - [c14]Paul Davidsson
A Multi-Agent System for Controlling Intelligent Buildings. ICMAS 2000: 377-378 - [c13]Paul Davidsson, Magnus Boman:
Saving Energy and Providing Value Added Services in Intelligent Buildings: A MAS Approach. ASA/MA 2000: 166-177 - [c12]Alessandro Saffiotti, Magnus Boman, Pär Buschka, Paul Davidsson, Stefan J. Johansson, Zbigniew Wasik:
Team Sweden. RoboCup 2000: 643-646
1990 – 1999
- 1999
- [j5]Magnus Boman:
Norms in Artificial decision Making. Artif. Intell. Law 7(1): 17-35 (1999) - [c11]Johan Kummeneje, David Lybäck, Håkan L. S. Younes, Magnus Boman:
UBU Team. RoboCup 1999: 642-645 - [c10]Magnus Boman, Kevin LeBlanc, Christian Guttmann, Alessandro Saffiotti:
Team Sweden. RoboCup 1999: 784-787 - [c9]Magnus Boman, Paul Davidsson, Håkan L. S. Younes:
Artificial Decision Making Under Uncertainty in Intelligent Buildings. UAI 1999: 65-70 - [e2]Francisco J. Garijo, Magnus Boman:
MultiAgent System Engineering, 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '99, Valencia, Spain, June 30 - July 2, 1999, Proceedings. Lecture Notes in Computer Science 1647, Springer 1999, ISBN 3-540-66281-2 [contents] - 1998
- [j4]Magnus Boman:
Towards artificial decision making. Robotics Auton. Syst. 24(3-4): 89-91 (1998) - [c8]Magnus Boman, Paul Davidsson, Nikolaos Skarmeas, Keith L. Clark, Rune Gustavsson:
Energy Saving and Added Customer Value in Intelligent Buildings. PAAM 1998: 505-516 - [c7]Magnus Boman, Helena Åberg, Åsa Åhman, Jens Andreasen, Mats Danielson, Carl-Gustaf Jansson, Johan Kummeneje, Harko Verhagen, Johan Walter:
UBU: Utility-Based Uncertainty Handling in Synthetic Soccer. RoboCup 1998: 352-357 - [c6]Stefan J. Johansson, Bengt Carlsson, Magnus Boman:
Modeling Strategies as Generous and Greedy in Prisoner's Dilemma like Games. SEAL 1998: 285-292 - 1997
- [j3]Love Ekenberg
Imposing security constraints on agent-based decision support. Decis. Support Syst. 20(1): 3-15 (1997) - [c5]Magnus Boman:
Norms as Constraints on Real-Time Autonomous Agent Action. MAAMAW 1997: 36-44 - [e1]Magnus Boman, Walter Van de Velde:
Multi-Agent Rationality, 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Ronneby, Sweden, May 13-16, 1997, Proceedings. Lecture Notes in Computer Science 1237, Springer 1997, ISBN 3-540-63077-5 [contents] - 1996
- [j2]Love Ekenberg, Mats Danielson, Magnus Boman:
From Local Assessments to Global Rationality. Int. J. Cooperative Inf. Syst. 5(2&3): 315-331 (1996) - 1995
- [c4]Love Ekenberg, Magnus Boman, Mats Danielson:
A Tool for Coordinating Autonomous Agents with Conflicting Goals. ICMAS 1995: 89-93 - 1994
- [j1]Harald Kjellin, Magnus Boman:
Fielded machine learning system for vocational counseling. Appl. Artif. Intell. 8(4): 543-563 (1994) - [c3]Love Ekenberg, Mats Danielson, Magnus Boman:
A Tool for Handling Uncertain Information in Multi-Agent Systems. MAAMAW 1994: 54-62 - 1992
- [c2]Magnus Boman, Paul Johanesson:
A note on the limitations of utilizing logic for federated information systems. CNKBS 1992: 61-63 - [c1]Magnus Boman:
A Note on the Limitations of Utilizing Modal Logic for Federated Information Systems. DAISD 1992: 83-103
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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