Anton Borg

According to our database, Anton Borg authored at least 32 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems.

Anton Borg, Per Lingvall, Martin Svensson

CoRR, 2024

2023

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles.

Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn

Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023

2022

All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi.

Anton Borg, Martin Svensson

ISPRS Int. J. Geo Inf., 2022

Improving anomaly detection in SCADA network communication with attribute extension.

Mahwish Anwar, Lars Lundberg, Anton Borg

Energy Inform., 2022

Recent Developments in Low-Power AI Accelerators: A Survey.

Christoffer Åleskog, Håkan Grahn, Anton Borg

Algorithms, 2022

2021

Alarm Prediction in Cellular Base Stations Using Data-Driven Methods.

Martin Boldt, Selim Ickin, Anton Borg, Valentin Kulyk, Jörgen Gustafsson

IEEE Trans. Netw. Serv. Manag., 2021

E-mail classification with machine learning and word embeddings for improved customer support.

Anton Borg, Martin Boldt, Oliver Rosander, Jim Ahlstrand

Neural Comput. Appl., 2021

A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol.

Mahwish Anwar, Anton Borg, Lars Lundberg

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

Detecting Non-routine Customer Support E-Mails.

Anton Borg, Jim Ahlstrand

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

2020

Anomaly detection of event sequences using multiple temporal resolutions and Markov chains.

Martin Boldt, Anton Borg, Selim Ickin, Jörgen Gustafsson

Knowl. Inf. Syst., 2020

Using VADER sentiment and SVM for predicting customer response sentiment.

Anton Borg, Martin Boldt

Expert Syst. Appl., 2020

Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case.

Anton Borg, Jim Ahlstrand, Martin Boldt

Proceedings of the Enterprise Information Systems - 22nd International Conference, 2020

Predicting e-Mail Response Time in Corporate Customer Support.

Anton Borg, Jim Ahlstrand, Martin Boldt

Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2019

Using Conformal Prediction for Multi-label Document Classification in e-Mail Support Systems.

Anton Borg, Martin Boldt, Johan Svensson

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

2018

Predicting burglars' risk exposure and level of pre-crime preparation using crime scene data.

Martin Boldt, Anton Borg, Martin Svensson, Jonas Hildeby

Intell. Data Anal., 2018

Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress.

Martin Boldt, Veselka Boeva, Anton Borg

Proceedings of the European Intelligence and Security Informatics Conference, 2018

2017

Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data.

Martin Boldt, Veselka Boeva, Anton Borg

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

Detecting Crime Series Based on Route Estimation and Behavioral Similarity.

Anton Borg, Martin Boldt, Johan Eliasson

Proceedings of the European Intelligence and Security Informatics Conference, 2017

A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics.

Martin Boldt, Anton Borg

Proceedings of the European Intelligence and Security Informatics Conference, 2017

Seed Selection for Information Cascade in Multilayer Networks.

Fredrik Erlandsson, Piotr Bródka, Anton Borg

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information.

Anton Borg, Martin Boldt

Int. J. Inf. Technol. Decis. Mak., 2016

Evaluating Temporal Analysis Methods Using Residential Burglary Data.

Martin Boldt, Anton Borg

ISPRS Int. J. Geo Inf., 2016

Finding Influential Users in Social Media Using Association Rule Learning.

Fredrik Erlandsson, Piotr Bródka, Anton Borg, Henric Johnson

Entropy, 2016

Predicting User Participation in Social Media.

Fredrik Erlandsson, Anton Borg, Henric Johnson, Piotr Bródka

Proceedings of the Advances in Network Science, 2016

2015

Crime Hotspots: An Evaluation of the KDE Spatial Mapping Technique.

Erik Johansson, Christoffer Gahlin, Anton Borg

Proceedings of the 2015 European Intelligence and Security Informatics Conference, 2015

2014

On Descriptive and Predictive Models for Serial Crime Analysis.

Anton Borg

PhD thesis, 2014

Detecting serial residential burglaries using clustering.

Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva

Expert Syst. Appl., 2014

2013

Comparison of Clustering Approaches for Gene Expression Data.

Anton Borg, Niklas Lavesson, Veselka Boeva

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

2012

E-mail Classification Using Social Network Information.

Anton Borg, Niklas Lavesson

Proceedings of the Seventh International Conference on Availability, 2012

2011

Simulating Malicious Users in a Software Reputation System.

Anton Borg, Martin Boldt, Bengt Carlsson

Proceedings of the Secure and Trust Computing, Data Management and Applications, 2011

Informed Software Installation Through License Agreement Categorization.

Anton Borg, Martin Boldt, Niklas Lavesson

Proceedings of the Information Security South Africa Conference 2011, 2011

2010

On the Simulation of a Software Reputation System.

Martin Boldt, Anton Borg, Bengt Carlsson

Proceedings of the ARES 2010, 2010