Anton Borg
Cited by
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Using VADER sentiment and SVM for predicting customer response sentiment
A Borg, M Boldt
Expert Systems with Applications 162, 113746, 2020
Finding Influential Users in Social Media Using Association Rule Learning
F Erlandsson, P Bródka, A Borg, H Johnson
Entropy 18 (5), 164, 2016
Detecting serial residential burglaries using clustering
A Borg, M Boldt, N Lavesson, U Melander, V Boeva
Expert Systems with Applications 41 (11), 5252-5266, 2014
Evaluating Temporal Analysis Methods Using Residential Burglary Data
M Boldt, A Borg
ISPRS International Journal of Geo-Information 5 (9), 148, 2016
Crime hotspots: An evaluation of the KDE spatial mapping technique
E Johansson, C Gĺhlin, A Borg
2015 European Intelligence and Security Informatics Conference, 69-74, 2015
E-mail classification with machine learning and word embeddings for improved customer support
A Borg, M Boldt, O Rosander, J Ahlstrand
Neural Computing and Applications 33 (6), 1881-1902, 2021
Seed selection for information cascade in multilayer networks
F Erlandsson, P Bródka, A Borg
Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2017
Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information
A Borg, M Boldt
International Journal of Information Technology & Decision Making 15 (01), 23-42, 2016
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains
M Boldt, A Borg, S Ickin, J Gustafsson
Knowledge and Information Systems 62 (2), 669-686, 2020
Predicting user participation in social media
F Erlandsson, A Borg, H Johnson, P Bródka
Advances in Network Science: 12th International Conference and School …, 2016
Comparison of Clustering Approaches for Gene Expression Data.
A Borg, N Lavesson, V Boeva
SCAI, 55-64, 2013
Predicting burglars’ risk exposure and level of pre-crime preparation using crime scene data
M Boldt, A Borg, M Svensson, J Hildeby
Intelligent Data Analysis 22 (1), 167-190, 2018
E-mail Classification using Social Network Information
A Borg, N Lavesson
Availability, Reliability and Security (ARES), 2012 Seventh International …, 2012
Alarm prediction in cellular base stations using data-driven methods
M Boldt, S Ickin, A Borg, V Kulyk, J Gustafsson
IEEE Transactions on Network and Service Management 18 (2), 1925-1933, 2021
On the simulation of a software reputation system
M Boldt, A Borg, B Carlsson
2010 International Conference on Availability, Reliability and Security, 333-340, 2010
Recent Developments in Low-Power AI Accelerators: A Survey
C Ĺleskog, H Grahn, A Borg
Algorithms 15 (11), 419, 2022
A Statistical Method for Detecting Significant Temporal Hotspots using LISA Statistics
M Boldt, A Borg
2017 European Intelligence and Security Informatics Conference (EISIC), 123-126, 2017
A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol
M Anwar, A Borg, L Lundberg
2021 International Conference on Machine Learning and Cybernetics (ICMLC), 1-8, 2021
Predicting e-mail response time in corporate customer support
A Borg, J Ahlstrand, M Boldt
22nd International Conference on Enterprise Information Systems, ICEIS 2020 …, 2020
Detecting Crime Series Based on Route Estimation and Behavioral Similarity
A Borg, M Boldt, J Eliasson
2017 European Intelligence and Security Informatics Conference (EISIC), 1-8, 2017
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