A note on the limitations of utilizing logic for federated information systems. - Magnus Boman; Paul Johanesson (CNKBS, 1992)

A Note on the Limitations of Utilizing Modal Logic for Federated Information Systems. - Magnus Boman (DAISD, 1992)

A Tool for Handling Uncertain Information in Multi-Agent Systems. - Love Ekenberg; Mats Danielson; Magnus Boman (MAAMAW, 1994)

Fielded machine learning system for vocational counseling. - Harald Kjellin; Magnus Boman (Appl. Artif. Intell., 1994)

A Tool for Coordinating Autonomous Agents with Conflicting Goals. - Love Ekenberg; Magnus Boman; Mats Danielson (ICMAS, 1995)

From Local Assessments to Global Rationality. - Love Ekenberg; Mats Danielson; Magnus Boman (Int. J. Cooperative Inf. Syst., 1996)

Norms as Constraints on Real-Time Autonomous Agent Action. - Magnus Boman (MAAMAW, 1997)

Imposing security constraints on agent-based decision support. - Love Ekenberg; Mats Danielson; Magnus Boman (Decis. Support Syst., 1997)

Energy Saving and Added Customer Value in Intelligent Buildings. - Magnus Boman; Paul Davidsson; Nikolaos Skarmeas; Keith L. Clark; Rune Gustavsson (PAAM, 1998)

UBU: Utility-Based Uncertainty Handling in Synthetic Soccer. - Magnus Boman; Helena Åberg; Åsa Åhman; Jens Andreasen; Mats Danielson; Carl-Gustaf Jansson; Johan Kummeneje; Harko Verhagen; Johan Walter (RoboCup, 1998)

Modeling Strategies as Generous and Greedy in Prisoner's Dilemma like Games. - Stefan J. Johansson; Bengt Carlsson; Magnus Boman (SEAL, 1998)

Towards artificial decision making. - Magnus Boman (Robotics Auton. Syst., 1998)

Team Sweden. - Magnus Boman; Kevin LeBlanc; Christian Guttmann; Alessandro Saffiotti (RoboCup, 1999)

UBU Team. - Johan Kummeneje; David Lybäck; Håkan L. S. Younes; Magnus Boman (RoboCup, 1999)

Artificial Decision Making Under Uncertainty in Intelligent Buildings. - Magnus Boman; Paul Davidsson; Håkan L. S. Younes (UAI, 1999)

Norms in Artificial decision Making. - Magnus Boman (Artif. Intell. Law, 1999)

Risk Constraints in Agent Conflicts. - Magnus Boman; Love Ekenberg (DEXA Workshop, 2000)

A Multi-Agent System for Controlling Intelligent Buildings. - Paul Davidsson; Magnus Boman (ICMAS, 2000)

Saving Energy and Providing Value Added Services in Intelligent Buildings: A MAS Approach. - Paul Davidsson; Magnus Boman (ASA/MA, 2000)

Team Sweden. - Alessandro Saffiotti; Magnus Boman; Pär Buschka; Paul Davidsson; Stefan J. Johansson; Zbigniew Wasik (RoboCup, 2000)

Agent-Based Social Simulation in Markets. - Koen Bertels; Magnus Boman (Electron. Commer. Res., 2001)

Artificial Agent Action in Markets. - Magnus Boman; Lisa Brouwers; Karin Hansson; Carl-Gustaf Jansson; Johan Kummeneje; Harko Verhagen (Electron. Commer. Res., 2001)

Parrondo Strategies for Artificial Traders - Magnus Boman; Stefan J. Johansson; David Lybäck (CoRR, 2002)

Trading Agents for Roaming Users - Magnus Boman; Markus Bylund; Fredrik Espinoza; Mats Danielson; David Lybäck (CoRR, 2002)

Anticipatory Guidance of Plot. - Jarmo Laaksolahti; Magnus Boman (ABiALS, 2003)

Algebras for Agent Norm-Regulation. - Jan Odelstad; Magnus Boman (Ann. Math. Artif. Intell., 2004)

Mobile access to real-time information-the case of autonomous stock brokering. - Stina Nylander; Markus Bylund; Magnus Boman (Pers. Ubiquitous Comput., 2004)

Agent trade servers in financial exchange systems. - David Lybäck; Magnus Boman (ACM Trans. Internet Techn., 2004)

Distributed monitoring and control of office buildings by embedded agents. - Paul Davidsson; Magnus Boman (Inf. Sci., 2005)

Implementing an agent trade server. - Magnus Boman; Anna Sandin (Decis. Support Syst., 2006)

Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games. - Magnus Boman; Stefan J. Johansson (DiGRA Conference, 2007)

Collective Completion: How do YOU Complete your Unknown Colleagues? - Magnus Boman; Kristofer Franzén; Fredrik Espinoza (ERCIM News, 2007)

A baseline for content-based blog classification - Olof Görnerup; Magnus Boman (CoRR, 2009)

Narrative Bridging. - Katarina Borg Gyllenbäck; Magnus Boman (DCC, 2010)

An Ontological Quantum Mechanics Model of Influenza. - Wah-Sui Almberg; Magnus Boman (ERCIM News, 2010)

A workflow for software development within computational epidemiology. - Baki Cakici; Magnus Boman (J. Comput. Sci., 2011)

Knowing Your Population: Privacy-Sensitive Mining of Massive Data. - Pedro Sanches 001; Eric-Oluf Svee; Markus Bylund; Benjamin Hirsch; Magnus Boman (Netw. Commun. Technol., 2013)

Learning machines for computational epidemiology. - Magnus Boman; Daniel Gillblad (IEEE BigData, 2014)

Sensemaking in Intelligent Health Data Analytics. - Magnus Boman; Pedro Sanches 001 (Künstliche Intell., 2015)

Learning Machines. - Magnus Boman; Magnus Sahlgren; Olof Görnerup; Daniel Gillblad (AAAI Spring Symposia, 2018)

The Scalability of Trustless Trust. - Dominik Harz; Magnus Boman (Financial Cryptography Workshops, 2018)

Learning machines in Internet-delivered psychological treatment. - Magnus Boman; Fehmi Ben Abdesslem; Erik Forsell; Daniel Gillblad; Olof Görnerup; Nils Hentati Isacsson; Magnus Sahlgren; Viktor Kaldo (Prog. Artif. Intell., 2019)

Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. - Natalia Vesselinova; Rebecca Steinert; Daniel F. Perez-Ramirez; Magnus Boman (IEEE Access, 2020)

Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning. - Diarmuid Corcoran; Per Kreuger; Magnus Boman (CNSM, 2021)

Predicting Treatment Outcome from Patient Texts: The Case of Internet-Based Cognitive Behavioural Therapy. - Evangelia Gogoulou; Magnus Boman; Fehmi Ben Abdesslem; Nils Hentati Isacsson; Viktor Kaldo; Magnus Sahlgren (EACL, 2021)

Comparing supervised and unsupervised approaches to multimodal emotion recognition. - Marcos Fernández Carbonell; Magnus Boman; Petri Laukka (PeerJ Comput. Sci., 2021)

A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning. - Diarmuid Corcoran; Per Kreuger; Magnus Boman (CNSM, 2022)

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH). - Rasoul Behravesh; Akhila Rao; Daniel F. Perez-Ramirez; Davit Harutyunyan; Roberto Riggio; Magnus Boman (IEEE Trans. Netw. Serv. Manag., 2022)

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. - Daniel F. Perez-Ramirez; Carlos M. Pérez-Penichet; Nicolas Tsiftes; Thiemo Voigt; Dejan Kostic; Magnus Boman (IPSN, 2023)

A Study of Continual Learning Under Language Shift. - Evangelia Gogoulou; Timothée Lesort; Magnus Boman; Joakim Nivre (CoRR, 2023)

Human-Curated Validation of Machine Learning Algorithms for Health Data. - Magnus Boman (Digit. Soc., 2023)

FMM-Head: Enhancing Autoencoder-Based ECG Anomaly Detection with Prior Knowledge. - Giacomo Verardo; Magnus Boman; Samuel Bruchfeld; Marco Chiesa; Sabine Koch; Gerald Q. Maguire Jr.; Dejan Kostic (ICPRAI (1), 2024)

Reducing the Number of Leads for ECG Imaging with Graph Neural Networks and Meaningful Latent Space. - Giacomo Verardo; Daniel F. Perez-Ramirez; Samuel Bruchfeld; Magnus Boman; Marco Chiesa; Sabine Koch; Gerald Q. Maguire Jr.; Dejan Kostic (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Continual Learning Under Language Shift. - Evangelia Gogoulou; Timothée Lesort; Magnus Boman; Joakim Nivre (TSD (1), 2024)

Robust Generalization of Graph Neural Networks for Carrier Scheduling. - Daniel F. Perez-Ramirez; Carlos M. Pérez-Penichet; Nicolas Tsiftes; Dejan Kostic; Magnus Boman; Thiemo Voigt (CoRR, 2024)

Smart variant filtering - A blueprint solution for massively parallel sequencing-based variant analysis. - 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; et al. (Health Informatics J., 2024)

CASTILLO: Characterizing Response Length Distributions of Large Language Models. - Daniel F. Perez-Ramirez; Dejan Kostic; Magnus Boman (CoRR, 2025)