On the Simulation of a Software Reputation System. - Martin Boldt; Anton Borg; Bengt Carlsson (ARES, 2010)

Informed Software Installation Through License Agreement Categorization. - Anton Borg; Martin Boldt; Niklas Lavesson (ISSA, 2011)

Simulating Malicious Users in a Software Reputation System. - Anton Borg; Martin Boldt; Bengt Carlsson (STA, 2011)

E-mail Classification Using Social Network Information. - Anton Borg; Niklas Lavesson (ARES, 2012)

Comparison of Clustering Approaches for Gene Expression Data. - Anton Borg; Niklas Lavesson; Veselka Boeva (SCAI, 2013)

Detecting serial residential burglaries using clustering. - Anton Borg; Martin Boldt; Niklas Lavesson; Ulf Melander; Veselka Boeva (Expert Syst. Appl., 2014)

On Descriptive and Predictive Models for Serial Crime Analysis. - Anton Borg (2014)

Crime Hotspots: An Evaluation of the KDE Spatial Mapping Technique. - Erik Johansson; Christoffer Gahlin; Anton Borg (EISIC, 2015)

Predicting User Participation in Social Media. - Fredrik Erlandsson; Anton Borg; Henric Johnson; Piotr Bródka (NetSci-X, 2016)

Finding Influential Users in Social Media Using Association Rule Learning. - Fredrik Erlandsson; Piotr Bródka; Anton Borg; Henric Johnson (Entropy, 2016)

Evaluating Temporal Analysis Methods Using Residential Burglary Data. - Martin Boldt; Anton Borg (ISPRS Int. J. Geo Inf., 2016)

Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information. - Anton Borg; Martin Boldt (Int. J. Inf. Technol. Decis. Mak., 2016)

Seed Selection for Information Cascade in Multilayer Networks. - Fredrik Erlandsson; Piotr Bródka; Anton Borg (COMPLEX NETWORKS, 2017)

A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics. - Martin Boldt; Anton Borg (EISIC, 2017)

Detecting Crime Series Based on Route Estimation and Behavioral Similarity. - Anton Borg; Martin Boldt; Johan Eliasson (EISIC, 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 (SAIS, 2017)

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 (EISIC, 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)

Using Conformal Prediction for Multi-label Document Classification in e-Mail Support Systems. - Anton Borg; Martin Boldt; Johan Svensson (IEA/AIE, 2019)

Predicting e-Mail Response Time in Corporate Customer Support. - Anton Borg; Jim Ahlstrand; Martin Boldt (ICEIS (1), 2020)

Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation and a Practical Use Case. - Anton Borg; Jim Ahlstrand; Martin Boldt (ICEIS (Revised Selected Papers), 2020)

Using VADER sentiment and SVM for predicting customer response sentiment. - Anton Borg; Martin Boldt (Expert Syst. Appl., 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)

Detecting Non-routine Customer Support E-Mails. - Anton Borg; Jim Ahlstrand (ICEIS (1), 2021)

A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol. - Mahwish Anwar; Anton Borg; Lars Lundberg (ICMLC, 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)

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)

Recent Developments in Low-Power AI Accelerators: A Survey. - Christoffer Åleskog; Håkan Grahn; Anton Borg (Algorithms, 2022)

Improving anomaly detection in SCADA network communication with attribute extension. - Mahwish Anwar; Lars Lundberg; Anton Borg (Energy Inform., 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)

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (SAIS, 2023)

Predicting B2B Customer Churn using a Time Series Approach. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (IDSTA, 2024)

A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation. - Christoffer Åleskog; Håkan Grahn; Anton Borg (IPDPS (Workshops), 2024)

Automated Generation of CCTV Camera Coverage Areas for Smart Cities Using Line-of-Sight Analysis. - Kenneth Lewenhagen; Martin Boldt; Anton Borg (ISCC, 2024)

Hierarchical Delay Attribution Classification using Unstructured Text in Train Management Systems. - Anton Borg; Per Lingvall; Martin Svensson (CoRR, 2024)

Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data. - Jim Ahlstrand; Anton Borg; Håkan Grahn; Martin Boldt (ICEIS (1), 2025)