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Books and Theses
- 2008
[b1]Daniel Gillblad:
On practical machine learning and data analysis. Royal Institute of Technology, Stockholm, Sweden, 2008
Journal Articles
- 2019
- [j6]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
- [j5]Per Kreuger, Rebecca Steinert, Olof Görnerup, Daniel Gillblad:
Distributed dynamic load balancing with applications in radio access networks. Int. J. Netw. Manag. 28(2) (2018) - [j4]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler:
A service-agnostic method for predicting service metrics in real time. Int. J. Netw. Manag. 28(2) (2018) - 2017
- [j3]Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis:
Domain-agnostic discovery of similarities and concepts at scale. Knowl. Inf. Syst. 51(2): 531-560 (2017) - 2013
- [j2]Per Kreuger, Daniel Gillblad, Åke Arvidsson:
zCap: a zero configuration adaptive paging and mobility management mechanism. Int. J. Netw. Manag. 23(4): 235-258 (2013) - 2011
- [j1]Alberto Gonzalez Prieto, Daniel Gillblad, Rebecca Steinert, Avi Miron:
Toward decentralized probabilistic management. IEEE Commun. Mag. 49(7): 80-86 (2011)
Conference and Workshop Papers
- 2024
- [c27]Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad:
Efficient Node Selection in Private Personalized Decentralized Learning. NLDL 2024: 244-250 - 2023
- [c26]Meenu Mary John, Helena Holmström Olsson, Jan Bosch, Daniel Gillblad:
Exploring Trade-Offs in MLOps Adoption. APSEC 2023: 369-375 - [c25]Meenu Mary John, Daniel Gillblad, Helena Holmström Olsson, Jan Bosch:
Advancing MLOps from Ad hoc to Kaizen. SEAA 2023: 94-101 - 2022
- [c24]Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas:
Adaptive Expert Models for Federated Learning. FL@IJCAI 2022: 1-16 - 2021
- [c23]John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. IEEE BigData 2021: 1291-1299 - 2018
- [c22]Magnus Boman, Magnus Sahlgren, Olof Görnerup, Daniel Gillblad:
Learning Machines. AAAI Spring Symposia 2018 - [c21]Olof Görnerup, Daniel Gillblad:
Streaming word similarity mining on the cheap. EMNLP 2018: 1425-1434 - 2015
- [c20]Nima Dokoohaki, Filippia Zikou, Daniel Gillblad, Mihhail Matskin:
Predicting Swedish Elections with Twitter: A Case for Stochastic Link Structure Analysis. ASONAM 2015: 1269-1276 - [c19]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler:
Predicting service metrics for cluster-based services using real-time analytics. CNSM 2015: 135-143 - [c18]Andrea Hess, Ian Marsh, Daniel Gillblad:
Exploring communication and mobility behavior of 3G network users and its temporal consistency. ICC 2015: 5916-5921 - [c17]Olof Görnerup, Daniel Gillblad, Theodore Vasiloudis:
Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery. ICDM 2015: 121-130 - [c16]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler:
Predicting real-time service-level metrics from device statistics. IM 2015: 414-422 - [c15]Rerngvit Yanggratoke, Jawwad Ahmed, John Ardelius, Christofer Flinta, Andreas Johnsson, Daniel Gillblad, Rolf Stadler:
A platform for predicting real-time service-level metrics from device statistics. IM 2015: 1141-1142 - [c14]Per Kreuger, Olof Görnerup, Daniel Gillblad, Tomas Lundborg, Diarmuid Corcoran, Andreas Ermedahl:
Autonomous Load Balancing of Heterogeneous Networks. VTC Spring 2015: 1-5 - 2014
- [c13]Magnus Boman, Daniel Gillblad:
Learning machines for computational epidemiology. IEEE BigData 2014: 1-5 - [c12]Tomas Olsson, Daniel Gillblad, Peter Funk, Ning Xiong:
Explaining Probabilistic Fault Diagnosis and Classification Using Case-Based Reasoning. ICCBR 2014: 360-374 - 2013
- [c11]Olof Görnerup, Per Kreuger, Daniel Gillblad:
Autonomous accident monitoring using cellular network data. ISCRAM 2013 - 2012
- [c10]Rebecca Steinert, Daniel Gillblad:
Performance evaluation of a distributed and probabilistic network monitoring approach. CNSM 2012: 242-246 - [c9]Per Kreuger, Daniel Gillblad, Åke Arvidsson:
Zero Configuration Adaptive Paging (zCap). VTC Fall 2012: 1-5 - 2011
- [c8]Björn Bjurling, Rebecca Steinert, Daniel Gillblad:
Translation of probabilistic QoS in hierarchical and decentralized settings. APNOMS 2011: 1-8 - [c7]Rebecca Steinert, S. Gestrelius, Daniel Gillblad:
A Distributed Spatio-Temporal Event Correlation Protocol for Multi-Layer Virtual Networks. GLOBECOM 2011: 1-5 - 2010
- [c6]Rebecca Steinert, Daniel Gillblad:
Towards Distributed and Adaptive Detection and Localisation of Network Faults. AICT 2010: 384-389 - [c5]Rebecca Steinert, Daniel Gillblad:
Long-Term Adaptation and Distributed Detection of Local Network Changes. GLOBECOM 2010: 1-5 - 2009
- [c4]Diogo R. Ferreira, Daniel Gillblad:
Discovering Process Models from Unlabelled Event Logs. BPM 2009: 143-158 - [c3]Daniel Gillblad, Rebecca Steinert, Diogo R. Ferreira:
Estimating the Parameters of Randomly Interleaved Markov Models. ICDM Workshops 2009: 308-313 - 2005
- [c2]Daniel Gillblad, Anders Holst, Björn Levin:
Emulating Process Simulators with Learning Systems. ICANN (2) 2005: 377-382 - 2001
- [c1]Daniel Gillblad, Anders Holst:
Dependency Derivation in Industrial Process Data. ICDM 2001: 599-602
Parts in Books or Collections
- 2011
- [p1]Daniel Gillblad, Alberto Gonzalez Prieto:
Managing Networks. 4WARD Project 2011: 151-172
Informal and Other Publications
- 2023
- [i5]Johan Östman, Ather Gattami, Daniel Gillblad:
Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds. CoRR abs/2301.11802 (2023) - [i4]Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad:
Private Node Selection in Personalized Decentralized Learning. CoRR abs/2301.12755 (2023) - 2022
- [i3]Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas:
Adaptive Expert Models for Personalization in Federated Learning. CoRR abs/2206.07832 (2022) - 2020
- [i2]John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. CoRR abs/2006.08039 (2020) - [i1]Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad:
Federated learning using a mixture of experts. CoRR abs/2010.02056 (2020)
Coauthor Index
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