A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. - Anders Holst; Anders Lansner (Int. J. Neural Syst., 1993)

A Higher order Bayesian Neural Network with Spiking Units. - Anders Lansner; Anders Holst (Int. J. Neural Syst., 1996)

Dependency Derivation in Industrial Process Data. - Daniel Gillblad; Anders Holst (ICDM, 2001)

Emulating Process Simulators with Learning Systems. - Daniel Gillblad; Anders Holst; Björn Levin (ICANN (2), 2005)

Dynamic Routing of Rail Vehicles. - Anders Holst; Markus Bohlin (ERCIM News, 2007)

Filaments of Meaning in Word Space. - Jussi Karlgren; Anders Holst; Magnus Sahlgren (ECIR, 2008)

Incremental Stream Clustering for Anomaly Detection and Classification. - Anders Holst; Jan Ekman (SCAI, 2011)

A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance. - Anders Holst; Björn Bjurling; Jan Ekman; Åsa Rudström; Klas Wallenius; Mattias Bjorkman; Farzad Fooladvandi; Rikard Laxhammar; Johan Tronninger (FUSION, 2012)

Statistical Anomaly Detection for Train Fleets. - Anders Holst; Markus Bohlin; Jan Ekman; Ola Sellin; Björn Lindström; Stefan Larsen (IAAI, 2012)

A Bayesian Parametric Statistical Anomaly Detection Method for Finding Trends and Patterns in Criminal Behavior. - Anders Holst; Björn Bjurling (EISIC, 2013)

Classification of movement patterns in skiing. - Anders Holst; Arndt Jonasson (SCAI, 2013)

How to Detect Suspect Behaviour at Sea. - Anders Holst (ERCIM News, 2014)

Automatic Classification of the Sub-Techniques (Gears) Used in Cross-Country Ski Skating Employing a Mobile Phone. - Thomas Stöggl; Anders Holst; Arndt Jonasson; Erik Andersson; Tobias Wunsch; Christer Norström; Hans-Christer Holmberg (Sensors, 2014)

A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications. - Tomas Olsson; Anders Holst (FLAIRS, 2015)

Fault Diagnosis via Fusion of Information from a Case Stream. - Tomas Olsson; Ning Xiong 001; Elisabeth Källström; Anders Holst; Peter Funk 001 (ICCBR, 2015)

Variants of an explicit kernel-split panel-based Nyström discretization scheme for Helmholtz boundary value problems. - Johan Helsing; Anders Holst (Adv. Comput. Math., 2015)

Optimal test planning for High Cycle Fatigue limit testing. - Anders Holst (Ann. Oper. Res., 2015)

The Gavagai Living Lexicon. - Magnus Sahlgren; Amaru Cuba Gyllensten; Fredrik Espinoza; Ola Hamfors; Jussi Karlgren; Fredrik Olsson; Per Persson; Akshay Viswanathan; Anders Holst (LREC, 2016)

pyISC: A Bayesian Anomaly Detection Framework for Python. - Blerim Emruli; Tomas Olsson; Anders Holst (FLAIRS, 2017)

Mode tracking using multiple data streams. - Mohamed-Rafik Bouguelia; Alexander Karlsson; Sepideh Pashami; Slawomir Nowaczyk; Anders Holst (Inf. Fusion, 2018)

Eliciting Structures in Data. - 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 (IUI Workshops, 2019)

Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. - Anders Holst; Juhee Bae; Alexander Karlsson; Mohamed-Rafik Bouguelia (IDM@WSDM, 2019)

Incremental Causal Discovery and Visualization. - Anders Holst; Sepideh Pashami; Juhee Bae (IDM@WSDM, 2019)

Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction. - Abhishek Srinivasan; Juan Carlos Andresen; Anders Holst (CoRR, 2023)

Computing the Lipschitz Constant Needed for Fast Scene Recovery from CASSI Measurements. - Anders Holst; Niels Chr. Overgaard (ECCV (62), 2024)

AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. - Pontus Svenson; Anders Holst; Anders Wallberg; Paavo Nevalainen; Farshad Farahnakian; Alfonso Álamo; Vincenzo Germinara; Daniel Schweizer; Matthis Leicht; Mathias Anneken; Adrian H. Hoppe; Aristeidis Karalis; et al. (FUSION, 2024)

DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination. - Jia Fu 001; Xiao Zhang; Sepideh Pashami; Fatemeh Rahimian; Anders Holst (WACV, 2025)

Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection. - Abhishek Srinivasan; Varun Singapuri Ravi; Juan Carlos Andresen; Anders Holst (CoRR, 2025)

DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models. - Jia Fu 001; Yongtao Wu; Yihang Chen; Kunyu Peng; Xiao Zhang; Volkan Cevher; Sepideh Pashami; Anders Holst (CoRR, 2025)

Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system. - Sanna Jarl; Jens Sjölund; Robert J. W. Frost; Anders Holst; Jonathan J. S. Scragg (CoRR, 2025)