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2020 – today

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2024
[c26]
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Victor Arvidsson, Sadi Alawadi, Martin Boldt, Ola Angelsmark, Fanny Söderlund:
A Novel Approach for Intrusion Detection using Online Federated Learning on Streaming Data. FMEC 2024: 114-121
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Gustav Nilsson, Martin Boldt, Sadi Alawadi:
The Role of the Data Quality on Model Efficiency: An Exploratory Study on Centralised and Federated Learning. FMEC 2024: 253-260
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Kenneth Lewenhagen, Martin Boldt, Anton Borg:
Automated Generation of CCTV Camera Coverage Areas for Smart Cities Using Line-of-Sight Analysis. ISCC 2024: 1-6
2023
[c23]
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Victor Arvidsson, Ahmad Al-Mashahedi, Martin Boldt:
Evaluation of Defense Methods Against the One-Pixel Attack on Deep Neural Networks. SAIS 2023: 49-57
[c22]
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Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn:
Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. SAIS 2023: 68-76
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Håkan Grahn, Anton Borg, Martin Boldt:
35th Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2023, Karlskrona, Sweden, June 12-13, 2023. Linköping Electronic Conference Proceedings 199, Linköping University Electronic Press 2023, ISBN 978-91-8075-274-9 [contents]
2021
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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): 1881-1902 (2021)
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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): 1925-1933 (2021)
2020
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Anton Borg, Martin Boldt:
Using VADER sentiment and SVM for predicting customer response sentiment. Expert Syst. Appl. 162: 113746 (2020)
[j11]
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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): 669-686 (2020)
[c21]
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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: 100-121
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Anton Borg, Jim Ahlstrand, Martin Boldt:
Predicting e-Mail Response Time in Corporate Customer Support. ICEIS (1) 2020: 305-314

2010 – 2019

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2019
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Martin Boldt, Kaavya Rekanar:
Analysis and Text Classification of Privacy Policies From Rogue and Top-100 Fortune Global Companies. Int. J. Inf. Secur. Priv. 13(2): 47-66 (2019)
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Anton Borg, Martin Boldt, Johan Svensson:
Using Conformal Prediction for Multi-label Document Classification in e-Mail Support Systems. IEA/AIE 2019: 308-322
2018
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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): 167-190 (2018)
[c18]
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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: 77-80
2017
[j8]
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Fredrik Erlandsson, Piotr Bródka, Martin Boldt, Henric Johnson:
Do We Really Need to Catch Them All? A New User-Guided Social Media Crawling Method. Entropy 19(12): 686 (2017)
[j7]
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Martin Boldt, Andreas Jacobsson, Dejan Baca, Bengt Carlsson:
Introducing a Novel Security-Enhanced Agile Software Development Process. Int. J. Secur. Softw. Eng. 8(2): 26-52 (2017)
[c17]
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Anton Borg, Martin Boldt, Johan Eliasson:
Detecting Crime Series Based on Route Estimation and Behavioral Similarity. EISIC 2017: 1-8
[c16]
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Martin Boldt, Anton Borg:
A Statistical Method for Detecting Significant Temporal Hotspots Using LISA Statistics. EISIC 2017: 123-126
[c15]
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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: 137:004
[i2]
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Martin Boldt:
Evaluation of the efficiency and quality in structured crime reports. CoRR abs/1709.03581 (2017)
2016
[j6]
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Andreas Jacobsson, Martin Boldt, Bengt Carlsson:
A risk analysis of a smart home automation system. Future Gener. Comput. Syst. 56: 719-733 (2016)
[j5]
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Martin Boldt, Anton Borg:
Evaluating Temporal Analysis Methods Using Residential Burglary Data. ISPRS Int. J. Geo Inf. 5(9): 148 (2016)
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Anton Borg, Martin Boldt:
Clustering Residential Burglaries Using Modus Operandi and Spatiotemporal Information. Int. J. Inf. Technol. Decis. Mak. 15(1): 23-42 (2016)
[c14]
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Martin Boldt, Jaswanth Bala:
Filtering Estimated Crime Series Based on Route Calculations on Spatio-temporal Data. EISIC 2016: 92-95
[i1]
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Fredrik Erlandsson, Piotr Bródka, Martin Boldt, Henric Johnson:
Do we really need to catch them all? A new User-guided Social Media Crawling method. CoRR abs/1612.01734 (2016)
2015
[c13]
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Dejan Baca, Martin Boldt, Bengt Carlsson, Andreas Jacobsson:
A Novel Security-Enhanced Agile Software Development Process Applied in an Industrial Setting. ARES 2015: 11-19
[c12]
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Fredrik Erlandsson, Roozbeh Nia, Martin Boldt, Henric Johnson, Shyhtsun Felix Wu:
Crawling Online Social Networks. ENIC 2015: 9-16
[c11]
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Raja Khurram Shahzad, Mehwish Fatima, Niklas Lavesson, Martin Boldt:
Consensus Decision Making in Random Forests. MOD 2015: 347-358
2014
[j3]
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Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva:
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41(11): 5252-5266 (2014)
[c10]
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Andreas Jacobsson, Martin Boldt, Bengt Carlsson:
On the Risk Exposure of Smart Home Automation Systems. FiCloud 2014: 183-190
2012
[c9]
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Fredrik Erlandsson, Martin Boldt, Henric Johnson:
Privacy Threats Related to User Profiling in Online Social Networks. SocialCom/PASSAT 2012: 838-842
2011
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Niklas Lavesson, Martin Boldt, Paul Davidsson, Andreas Jacobsson:
Learning to detect spyware using end user license agreements. Knowl. Inf. Syst. 26(2): 285-307 (2011)
[c8]
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Anton Borg, Martin Boldt, Niklas Lavesson:
Informed Software Installation Through License Agreement Categorization. ISSA 2011
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Anton Borg, Martin Boldt, Bengt Carlsson:
Simulating Malicious Users in a Software Reputation System. STA 2011: 147-156
2010
[b1]
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Martin Boldt:
Privacy-Invasive Software. Blekinge Institute of Technology, Sweden, 2010
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Martin Boldt, Anton Borg, Bengt Carlsson:
On the Simulation of a Software Reputation System. ARES 2010: 333-340

2000 – 2009

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2009
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Jens Olsson, Martin Boldt:
Computer forensic timeline visualization tool. Digit. Investig. 6(Supplement): S78-S87 (2009)
2008
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Niklas Lavesson, Paul Davidsson, Martin Boldt, Andreas Jacobsson:
Spyware Prevention by Classifying End User License Agreements. New Challenges in Applied Intelligence Technologies 2008: 373-382
2007
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Martin Boldt, Bengt Carlsson, Roy Martinsson:
Software Vulnerability Assessment Version Extraction and Verification. ICSEA 2007: 59
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Martin Boldt, Bengt Carlsson, Tobias Larsson, Niklas Lindén:
Preventing Privacy-Invasive Software Using Collaborative Reputation Systems. Secure Data Management 2007: 142-157
2006
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Martin Boldt, Bengt Carlsson:
Analysing Countermeasures Against Privacy-Invasive Software. ICSEA 2006: 61
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Martin Boldt, Bengt Carlsson:
Privacy-Invasive Software and Preventive Mechanisms. ICSNC 2006: 21
2004
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Andreas Jacobsson, Martin Boldt, Bengt Carlsson:
Privacy Invasive Software in File-Sharing Tools. International Information Security Workshops 2004: 277-292

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