Anton Borg

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Temporal Analysis

Customer Support

Anomaly Detection

Unstructured Text

Top Venues

ISPRS Int. J. Geo Inf.

Expert Syst. Appl.

Publications

Anton Borg, Per Lingvall, Martin Svensson
Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems. CoRR (2024)
Christoffer Åleskog, Håkan Grahn, Anton Borg
A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation. IPDPS (Workshops) (2024)
Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn
Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. SAIS (2023)
Anton Borg, Martin Svensson
All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi. ISPRS Int. J. Geo Inf. 11 (3) (2022)
Christoffer Åleskog, Håkan Grahn, Anton Borg
Recent Developments in Low-Power AI Accelerators: A Survey. Algorithms 15 (11) (2022)
Mahwish Anwar, Lars Lundberg, Anton Borg
Improving anomaly detection in SCADA network communication with attribute extension. Energy Inform. 5 (2022)
Mahwish Anwar, Anton Borg, Lars Lundberg
A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol. ICMLC (2021)
Anton Borg, Martin Boldt, Oliver Rosander, Jim Ahlstrand
E-mail classification with machine learning and word embeddings for improved customer support. Neural Comput. Appl. 33 (6) (2021)
Anton Borg, Jim Ahlstrand
Detecting Non-routine Customer Support E-Mails. ICEIS (1) (2021)
Martin Boldt, Selim Ickin, Anton Borg, Valentin Kulyk, Jörgen Gustafsson
Alarm Prediction in Cellular Base Stations Using Data-Driven Methods. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Anton Borg, Martin Boldt
Using VADER sentiment and SVM for predicting customer response sentiment. Expert Syst. Appl. 162 (2020)
Martin Boldt, Anton Borg, Selim Ickin, Jörgen Gustafsson
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains. Knowl. Inf. Syst. 62 (2) (2020)
Anton Borg, Jim Ahlstrand, Martin Boldt
Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case. ICEIS (Revised Selected Papers) (2020)
Anton Borg, Jim Ahlstrand, Martin Boldt
Predicting e-Mail Response Time in Corporate Customer Support. ICEIS (1) (2020)
Anton Borg, Martin Boldt, Johan Svensson
Using Conformal Prediction for Multi-label Document Classification in e-Mail Support Systems. IEA/AIE (2019)
Martin Boldt, Anton Borg, Martin Svensson, Jonas Hildeby
Predicting burglars' risk exposure and level of pre-crime preparation using crime scene data. Intell. Data Anal. 22 (1) (2018)
Martin Boldt, Veselka Boeva, Anton Borg
Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress. EISIC (2018)
Anton Borg, Martin Boldt, Johan Eliasson
Detecting Crime Series Based on Route Estimation and Behavioral Similarity. EISIC (2017)
Martin Boldt, Anton Borg
A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics. EISIC (2017)
Fredrik Erlandsson, Piotr Bródka, Anton Borg
Seed selection for information cascade in multilayer networks. CoRR (2017)
Fredrik Erlandsson, Piotr Bródka, Anton Borg
Seed Selection for Information Cascade in Multilayer Networks. COMPLEX NETWORKS (2017)
Martin Boldt, Veselka Boeva, Anton Borg
Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data. SAIS (2017)
Fredrik Erlandsson, Piotr Bródka, Anton Borg, Henric Johnson
Finding Influential Users in Social Media Using Association Rule Learning. CoRR (2016)
Fredrik Erlandsson, Piotr Bródka, Anton Borg, Henric Johnson
Finding Influential Users in Social Media Using Association Rule Learning. Entropy 18 (5) (2016)
Fredrik Erlandsson, Anton Borg, Henric Johnson, Piotr Bródka
Predicting User Participation in Social Media. NetSci-X (2016)
Anton Borg, Martin Boldt
Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information. Int. J. Inf. Technol. Decis. Mak. 15 (1) (2016)
Martin Boldt, Anton Borg
Evaluating Temporal Analysis Methods Using Residential Burglary Data. ISPRS Int. J. Geo Inf. 5 (9) (2016)
Erik Johansson, Christoffer Gahlin, Anton Borg
Crime Hotspots: An Evaluation of the KDE Spatial Mapping Technique. EISIC (2015)
Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41 (11) (2014)
Anton Borg, Niklas Lavesson, Veselka Boeva
Comparison of Clustering Approaches for Gene Expression Data. SCAI (2013)
Anton Borg, Niklas Lavesson
E-mail Classification Using Social Network Information. ARES (2012)
Anton Borg, Martin Boldt, Bengt Carlsson
Simulating Malicious Users in a Software Reputation System. STA (2011)
Anton Borg, Martin Boldt, Niklas Lavesson
Informed Software Installation Through License Agreement Categorization. ISSA (2011)
Martin Boldt, Anton Borg, Bengt Carlsson
On the Simulation of a Software Reputation System. ARES (2010)