Theo dõi
Anton Borg
Anton Borg
Associate Professor in Computer Science, Blekinge Institute of Technology
Email được xác minh tại bth.se - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Using VADER sentiment and SVM for predicting customer response sentiment
A Borg, M Boldt
Expert Systems with Applications 162, 113746, 2020
2002020
Finding Influential Users in Social Media Using Association Rule Learning
F Erlandsson, P Bródka, A Borg, H Johnson
Entropy 18 (5), 164, 2016
1242016
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
502014
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
302021
Evaluating Temporal Analysis Methods Using Residential Burglary Data
M Boldt, A Borg
ISPRS International Journal of Geo-Information 5 (9), 148, 2016
292016
Crime hotspots: An evaluation of the KDE spatial mapping technique
E Johansson, C Gåhlin, A Borg
2015 European Intelligence and Security Informatics Conference, 69-74, 2015
272015
Seed selection for information cascade in multilayer networks
F Erlandsson, P Bródka, A Borg
Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2017
212017
Comparison of Clustering Approaches for Gene Expression Data.
A Borg, N Lavesson, V Boeva
SCAI, 55-64, 2013
202013
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
192020
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
192016
Predicting user participation in social media
F Erlandsson, A Borg, H Johnson, P Bródka
Advances in Network Science: 12th International Conference and School …, 2016
172016
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
142021
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
122018
E-mail Classification using Social Network Information
A Borg, N Lavesson
Availability, Reliability and Security (ARES), 2012 Seventh International …, 2012
10*2012
Recent Developments in Low-Power AI Accelerators: A Survey
C Åleskog, H Grahn, A Borg
Algorithms 15 (11), 419, 2022
82022
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
52021
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
52017
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
52010
Improving anomaly detection in SCADA network communication with attribute extension
M Anwar, L Lundberg, A Borg
Energy Informatics 5 (1), 69, 2022
32022
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
32020
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.
Bài viết 1–20