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2020 – today
- 2024
[i1]Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty:
Designing deep neural networks for driver intention recognition. CoRR abs/2402.05150 (2024)- 2023
- [j10]H. Joe Steinhauer
, Tove Helldin, Gunnar Mathiason, Alexander Karlsson:
Topic modeling for anomaly detection in telecommunication networks. J. Ambient Intell. Humaniz. Comput. 14(11): 15085-15096 (2023) - [j9]Alexander Karlsson, Magnus Jansson, Mikael Hämäläinen:
Low-Angle Target Tracking in Sea Surface Multipath Using Convolutional Neural Networks. IEEE Trans. Aerosp. Electron. Syst. 59(5): 6813-6831 (2023) - [c26]Koen Vellenga, Alexander Karlsson, H. Joe Steinhauer, Göran Falkman, Anders Sjögren:
Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. ICMLC 2023: 252-258 - 2021
- [j8]Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh:
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. IEEE Access 9: 100063-100080 (2021) - [j7]Alexander Karlsson, Magnus Jansson, Henrik Holter:
Stepped Frequency Pulse Compression With Noncoherent Radar Using Deep Learning. IEEE Trans. Aerosp. Electron. Syst. 57(3): 1657-1671 (2021) - 2020
- [c25]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason:
Evaluation of Uncertainty Quantification in Deep Learning. IPMU (1) 2020: 556-568
2010 – 2019
- 2019
- [j6]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. J. Chem. Inf. Model. 59(7): 3166-3176 (2019) - [j5]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. J. Integr. Bioinform. 16(1) (2019) - [c24]Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Göran Falkman, Sarunas Girdzijauskas, Olof Gönerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk, Sepideh Pashami, Alan Said, Amira A. Soliman El Hosary:
Eliciting Structures in Data. IUI Workshops 2019 - [c23]Nikolas Alexander Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer:
An Infinite Replicated Softmax Model for Topic Modeling. MDAI 2019: 307-318 - [c22]Anders Holst, Juhee Bae, Alexander Karlsson, Mohamed-Rafik Bouguelia:
Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. IDM@WSDM 2019: 2:1-2:7 - [p4]Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund:
Artificial Intelligence. Data Science in Practice 2019: 9-26 - [p3]H. Joe Steinhauer, Alexander Karlsson:
Information Fusion. Data Science in Practice 2019: 61-78 - [p2]Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra:
Complex Data Analysis. Data Science in Practice 2019: 157-169 - 2018
- [j4]Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst:
Mode tracking using multiple data streams. Inf. Fusion 43: 33-46 (2018) - [c21]Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason:
Situation Awareness in Telecommunication Networks Using Topic Modeling. FUSION 2018: 549-556 - [c20]Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson:
A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. IPMU (3) 2018: 248-259 - [c19]Alexander Karlsson, Denio Duarte, Gunnar Mathiason, Juhee Bae:
Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling. ISCBI 2018: 79-83 - [c18]Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason:
Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type. ISCBI 2018: 89-93 - [c17]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. PACBB 2018: 71-79 - [c16]Nikolas A. Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer:
On the behavior of the infinite restricted boltzmann machine for clustering. SAC 2018: 461-470 - 2017
- [c15]Rakesh Rana, Alexander Karlsson, Göran Falkman:
A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. ISCBI 2017: 110-115 - [c14]H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason:
Topic modeling for situation understanding in telecommunication networks. ITNAC 2017: 1-6 - 2016
- [c13]H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin:
Root-cause localization using Restricted Boltzmann Machines. FUSION 2016: 248-255 - [c12]Alexander Karlsson, Osama Al-Saadeh, Anton Gusarov, Renuka Venkata Ramani Challa, Sibel Tombaz, Ki Won Sung:
Energy-efficient 5G deployment in rural areas. WiMob 2016: 1-7 - 2015
- [j3]Alexander Karlsson, Björn Hammarfelt, H. Joe Steinhauer, Göran Falkman, Nasrine Olson, Gustaf Nelhans, Jan Michael Nolin:
Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. Scientometrics 102(3): 2255-2274 (2015) - 2014
- [c11]Alessandro Antonucci, Alexander Karlsson, David Sundgren:
Decision Making with Hierarchical Credal Sets. IPMU (3) 2014: 456-465 - [c10]Alexander Karlsson, Anders Dahlbom, Hui Zhong:
Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems. ISMIS 2014: 194-203 - 2013
- [j2]David Sundgren, Alexander Karlsson:
Uncertainty Levels of Second-Order Probability. Polibits 48: 5-11 (2013) - [c9]H. Joe Steinhauer, Alexander Karlsson, Sten F. Andler:
Traceable uncertainty. FUSION 2013: 1582-1589 - [c8]H. Joe Steinhauer, Alexander Karlsson:
Traceable Uncertainty for Threat Evaluation in Air to Ground Scenarios. SCAI 2013: 255-264 - 2012
- [c7]David Sundgren, Alexander Karlsson:
On Dependence in Second-Order Probability. SUM 2012: 379-391 - 2011
- [j1]Alexander Karlsson, Ronnie Johansson, Sten F. Andler:
Characterization and Empirical Evaluation of Bayesian and Credal Combination Operators. J. Adv. Inf. Fusion 6(2): 150-166 (2011) - 2010
- [b1]Alexander Karlsson:
Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making. Örebro University, Sweden, 2010 - [c6]Christoffer Brax, Alexander Karlsson, Sten F. Andler, Ronnie Johansson, Lars Niklasson:
Evaluating precise and imprecise State-Based Anomaly detectors for maritime surveillance. FUSION 2010: 1-8 - [c5]Alexander Karlsson, Ronnie Johansson, Sten F. Andler:
An empirical comparison of Bayesian and credal combination operators. FUSION 2010: 1-8 - [c4]Alexander Karlsson, Ronnie Johansson, Sten F. Andler:
An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation. IPMU (1) 2010: 80-89
2000 – 2009
- 2008
- [c3]Henrik Boström, Ronnie Johansson, Alexander Karlsson:
On evidential combination rules for ensemble classifiers. FUSION 2008: 1-8 - [c2]Alexander Karlsson, Ronnie Johansson, Sten F. Andler:
An empirical comparison of Bayesian and credal networks for dependable high-level information fusion. FUSION 2008: 1-8 - [c1]Ronnie Johansson, Henrik Boström, Alexander Karlsson:
A study on class-specifically discounted belief for ensemble classifiers. MFI 2008: 614-619 - [p1]Alexander Karlsson, Ronnie Johansson, Sten F. Andler:
Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 70-84
Coauthor Index
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