Anton Borg

39 papers B 2C 2Misc 1Journal 15Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data.
ICEIS (1)
Jim Ahlstrand, Anton Borg, Håkan Grahn, Martin Boldt
2024 — conf
A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation.
IPDPS (Workshops)
Christoffer Åleskog, Håkan Grahn, Anton Borg
2024 C conf
Automated Generation of CCTV Camera Coverage Areas for Smart Cities Using Line-of-Sight Analysis.
ISCC
Kenneth Lewenhagen, Martin Boldt, Anton Borg
2024 J jnl
Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems.
CoRR
Anton Borg, Per Lingvall, Martin Svensson
2024 — conf
Predicting B2B Customer Churn using a Time Series Approach.
IDSTA
Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn
2023 — ed.
35th Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2023, Karlskrona, Sweden, June 12-13, 2023
SAIS
Håkan Grahn, Anton Borg, Martin Boldt
2023 — conf
Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles.
SAIS
Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn
2022 J jnl
All Burglaries Are Not the Same: Predicting Near-Repeat Burglaries in Cities Using Modus Operandi.
ISPRS Int. J. Geo Inf.
Anton Borg, Martin Svensson
2022 J jnl
Improving anomaly detection in SCADA network communication with attribute extension.
Energy Inform.
Mahwish Anwar, Lars Lundberg, Anton Borg
2022 J jnl
Recent Developments in Low-Power AI Accelerators: A Survey.
Algorithms
Christoffer Åleskog, Håkan Grahn, Anton Borg
2021 Misc conf
A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol.
ICMLC
Mahwish Anwar, Anton Borg, Lars Lundberg
2021 J jnl
Alarm Prediction in Cellular Base Stations Using Data-Driven Methods.
IEEE Trans. Netw. Serv. Manag.
Martin Boldt, Selim Ickin, Anton Borg, Valentin Kulyk, Jörgen Gustafsson
2021 — conf
Detecting Non-routine Customer Support E-Mails.
ICEIS (1)
Anton Borg, Jim Ahlstrand
2021 J jnl
E-mail classification with machine learning and word embeddings for improved customer support.
Neural Comput. Appl.
Anton Borg, Martin Boldt, Oliver Rosander, Jim Ahlstrand
2020 J jnl
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains.
Knowl. Inf. Syst.
Martin Boldt, Anton Borg, Selim Ickin, Jörgen Gustafsson
2020 — conf
Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case.
ICEIS (Revised Selected Papers)
Anton Borg, Jim Ahlstrand, Martin Boldt
2020 — conf
Predicting e-Mail Response Time in Corporate Customer Support.
ICEIS (1)
Anton Borg, Jim Ahlstrand, Martin Boldt
2020 J jnl
Using VADER sentiment and SVM for predicting customer response sentiment.
Expert Syst. Appl.
Anton Borg, Martin Boldt
2019 C conf
Using Conformal Prediction for Multi-label Document Classification in e-Mail Support Systems.
IEA/AIE
Anton Borg, Martin Boldt, Johan Svensson
2018 — conf
Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress.
EISIC
Martin Boldt, Veselka Boeva, Anton Borg
2018 J jnl
Predicting burglars' risk exposure and level of pre-crime preparation using crime scene data.
Intell. Data Anal.
Martin Boldt, Anton Borg, Martin Svensson, Jonas Hildeby
2017 — conf
A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics.
EISIC
Martin Boldt, Anton Borg
2017 — conf
Detecting Crime Series Based on Route Estimation and Behavioral Similarity.
EISIC
Anton Borg, Martin Boldt, Johan Eliasson
2017 — conf
Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data.
SAIS
Martin Boldt, Veselka Boeva, Anton Borg
2017 — conf
Seed Selection for Information Cascade in Multilayer Networks.
COMPLEX NETWORKS
Fredrik Erlandsson, Piotr Bródka, Anton Borg
2017 J jnl
Seed selection for information cascade in multilayer networks.
CoRR
Fredrik Erlandsson, Piotr Bródka, Anton Borg
2016 J jnl
Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information.
Int. J. Inf. Technol. Decis. Mak.
Anton Borg, Martin Boldt
2016 J jnl
Evaluating Temporal Analysis Methods Using Residential Burglary Data.
ISPRS Int. J. Geo Inf.
Martin Boldt, Anton Borg
2016 J jnl
Finding Influential Users in Social Media Using Association Rule Learning.
CoRR
Fredrik Erlandsson, Piotr Bródka, Anton Borg, Henric Johnson
2016 J jnl
Finding Influential Users in Social Media Using Association Rule Learning.
Entropy
Fredrik Erlandsson, Piotr Bródka, Anton Borg, Henric Johnson
2016 — conf
Predicting User Participation in Social Media.
NetSci-X
Fredrik Erlandsson, Anton Borg, Henric Johnson, Piotr Bródka
2015 — conf
Crime Hotspots: An Evaluation of the KDE Spatial Mapping Technique.
EISIC
Erik Johansson, Christoffer Gahlin, Anton Borg
2014 J jnl
Detecting serial residential burglaries using clustering.
Expert Syst. Appl.
Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
2014 — —
On Descriptive and Predictive Models for Serial Crime Analysis.
Anton Borg
2013 — conf
Comparison of Clustering Approaches for Gene Expression Data.
SCAI
Anton Borg, Niklas Lavesson, Veselka Boeva
2012 B conf
E-mail Classification Using Social Network Information.
ARES
Anton Borg, Niklas Lavesson
2011 — conf
Informed Software Installation Through License Agreement Categorization.
ISSA
Anton Borg, Martin Boldt, Niklas Lavesson
2011 — conf
Simulating Malicious Users in a Software Reputation System.
STA
Anton Borg, Martin Boldt, Bengt Carlsson
2010 B conf
On the Simulation of a Software Reputation System.
ARES
Martin Boldt, Anton Borg, Bengt Carlsson