Daniel Gillblad

According to our database1, Daniel Gillblad authored at least 32 papers between 2001 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Federated learning using a mixture of experts.
CoRR, 2020

Adversarial representation learning for synthetic replacement of private attributes.
CoRR, 2020

2019
Learning machines in Internet-delivered psychological treatment.
Prog. Artif. Intell., 2019

2018
A service-agnostic method for predicting service metrics in real time.
Int. J. Netw. Manag., 2018

Distributed dynamic load balancing with applications in radio access networks.
Int. J. Netw. Manag., 2018

Streaming word similarity mining on the cheap.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Machines.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Domain-agnostic discovery of similarities and concepts at scale.
Knowl. Inf. Syst., 2017

2015
Autonomous Load Balancing of Heterogeneous Networks.
Proceedings of the IEEE 81st Vehicular Technology Conference, 2015

A platform for predicting real-time service-level metrics from device statistics.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Predicting real-time service-level metrics from device statistics.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Exploring communication and mobility behavior of 3G network users and its temporal consistency.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Predicting service metrics for cluster-based services using real-time analytics.
Proceedings of the 11th International Conference on Network and Service Management, 2015

Predicting Swedish Elections with Twitter: A Case for Stochastic Link Structure Analysis.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Explaining Probabilistic Fault Diagnosis and Classification Using Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2014

Learning machines for computational epidemiology.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
<i>zCap</i>: a zero configuration adaptive paging and mobility management mechanism.
Int. J. Netw. Manag., 2013

Autonomous accident monitoring using cellular network data.
Proceedings of the 10th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2013

2012
Zero Configuration Adaptive Paging (zCap).
Proceedings of the 76th IEEE Vehicular Technology Conference, 2012

Performance evaluation of a distributed and probabilistic network monitoring approach.
Proceedings of the 8th International Conference on Network and Service Management, 2012

2011
Toward decentralized probabilistic management.
IEEE Commun. Mag., 2011

A Distributed Spatio-Temporal Event Correlation Protocol for Multi-Layer Virtual Networks.
Proceedings of the Global Communications Conference, 2011

Translation of probabilistic QoS in hierarchical and decentralized settings.
Proceedings of the 13th Asia-Pacific Network Operations and Management Symposium, 2011

Managing Networks.
Proceedings of the Architecture and Design for the Future Internet: 4WARD Project, 2011

2010
Long-Term Adaptation and Distributed Detection of Local Network Changes.
Proceedings of the Global Communications Conference, 2010

Towards Distributed and Adaptive Detection and Localisation of Network Faults.
Proceedings of the Sixth Advanced International Conference on Telecommunications, 2010

2009
Estimating the Parameters of Randomly Interleaved Markov Models.
Proceedings of the ICDM Workshops 2009, 2009

Discovering Process Models from Unlabelled Event Logs.
Proceedings of the Business Process Management, 7th International Conference, 2009

2008
On practical machine learning and data analysis.
PhD thesis, 2008

2005
Emulating Process Simulators with Learning Systems.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2001
Dependency Derivation in Industrial Process Data.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001


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