Alexander Karlsson

41 papers B 1C 8Misc 4Journal 10Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Data-Driven Prediction of Vehicle-Vulnerable Road User Collisions at Road Intersections Using Machine Learning Models. ANT/EDI40 Yacine Atif, Yuri Tarakanov, Mikael Lebram, H. Joe Steinhauer, Alexander Karlsson, Paul Hemeren
2025	J	`jnl`	Designing deep neural networks for driver intention recognition. Eng. Appl. Artif. Intell. Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty
2024	J	`jnl`	Designing deep neural networks for driver intention recognition. CoRR Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty
2023	Misc	`conf`	Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. ICMLC Koen Vellenga, Alexander Karlsson, H. Joe Steinhauer, Göran Falkman, Anders Sjögren
2023	J	`jnl`	Topic modeling for anomaly detection in telecommunication networks. J. Ambient Intell. Humaniz. Comput. H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson
2021	J	`jnl`	Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. IEEE Access Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh
2020	—	`conf`	Evaluation of Uncertainty Quantification in Deep Learning. IPMU (1) Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason
2019	B	`conf`	An Infinite Replicated Softmax Model for Topic Modeling. MDAI Nikolas Alexander Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer
2019	—	`ch.`	Artificial Intelligence. Data Science in Practice Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund
2019	—	`ch.`	Complex Data Analysis. Data Science in Practice Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra
2019	J	`jnl`	Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. J. Integr. Bioinform. Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
2019	J	`jnl`	Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. J. Chem. Inf. Model. Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
2019	—	`conf`	Eliciting Structures in Data. IUI Workshops 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
2019	—	`ch.`	Information Fusion. Data Science in Practice H. Joe Steinhauer, Alexander Karlsson
2019	—	`conf`	Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. IDM@WSDM Anders Holst, Juhee Bae, Alexander Karlsson, Mohamed-Rafik Bouguelia
2018	—	`conf`	A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. IPMU (3) Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson
2018	—	`conf`	Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling. ISCBI Alexander Karlsson, Denio Duarte, Gunnar Mathiason, Juhee Bae
2018	Misc	`conf`	Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. PACBB Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström
2018	J	`jnl`	Mode tracking using multiple data streams. Inf. Fusion Mohamed-Rafik Bouguelia, Alexander Karlsson, Sepideh Pashami, Slawomir Nowaczyk, Anders Holst
2018	Misc	`conf`	On the behavior of the infinite restricted boltzmann machine for clustering. SAC Nikolas A. Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer
2018	—	`conf`	Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type. ISCBI Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason
2018	C	`conf`	Situation Awareness in Telecommunication Networks Using Topic Modeling. FUSION Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason
2017	—	`conf`	A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. ISCBI Rakesh Rana, Alexander Karlsson, Göran Falkman
2017	Misc	`conf`	Topic modeling for situation understanding in telecommunication networks. ITNAC H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason
2016	C	`conf`	Root-cause localization using Restricted Boltzmann Machines. FUSION H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin
2015	J	`jnl`	Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. Scientometrics Alexander Karlsson, Björn Hammarfelt, H. Joe Steinhauer, Göran Falkman, Nasrine Olson, Gustaf Nelhans, Jan Michael Nolin
2014	—	`conf`	Decision Making with Hierarchical Credal Sets. IPMU (3) Alessandro Antonucci, Alexander Karlsson, David Sundgren
2014	C	`conf`	Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems. ISMIS Alexander Karlsson, Anders Dahlbom, Hui Zhong
2013	—	`conf`	Traceable Uncertainty for Threat Evaluation in Air to Ground Scenarios. SCAI H. Joe Steinhauer, Alexander Karlsson
2013	C	`conf`	Traceable uncertainty. FUSION H. Joe Steinhauer, Alexander Karlsson, Sten F. Andler
2013	J	`jnl`	Uncertainty Levels of Second-Order Probability. Polibits David Sundgren, Alexander Karlsson
2012	—	`conf`	On Dependence in Second-Order Probability. SUM David Sundgren, Alexander Karlsson
2011	J	`jnl`	Characterization and Empirical Evaluation of Bayesian and Credal Combination Operators. J. Adv. Inf. Fusion Alexander Karlsson, Ronnie Johansson, Sten F. Andler
2010	—	`conf`	An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation. IPMU (1) Alexander Karlsson, Ronnie Johansson, Sten F. Andler
2010	C	`conf`	An empirical comparison of Bayesian and credal combination operators. FUSION Alexander Karlsson, Ronnie Johansson, Sten F. Andler
2010	—	`—`	Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making. Alexander Karlsson
2010	C	`conf`	Evaluating precise and imprecise State-Based Anomaly detectors for maritime surveillance. FUSION Christoffer Brax, Alexander Karlsson, Sten F. Andler, Ronnie Johansson, Lars Niklasson
2008	—	`conf`	A study on class-specifically discounted belief for ensemble classifiers. MFI Ronnie Johansson, Henrik Boström, Alexander Karlsson
2008	C	`conf`	An empirical comparison of Bayesian and credal networks for dependable high-level information fusion. FUSION Alexander Karlsson, Ronnie Johansson, Sten F. Andler
2008	—	`ch.`	Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion. Interval / Probabilistic Uncertainty and Non-Classical Logics Alexander Karlsson, Ronnie Johansson, Sten F. Andler
2008	C	`conf`	On evidential combination rules for ensemble classifiers. FUSION Henrik Boström, Ronnie Johansson, Alexander Karlsson