Déjà vu - Predicting the number of players in online games through normalization of historical data. - J.-E. Tyvand; Kyrre M. Begnum; Hugo Hammer (NETGAMES, 2011)

Approximate forward-backward algorithm for a switching linear Gaussian model. - Hugo Hammer; Håkon Tjelmeland (Comput. Stat. Data Anal., 2011)

Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus. - Aleksander Bai; Hugo Hammer; Anis Yazidi; Paal Engelstad (CSE, 2014)

Detecting Threats of Violence in Online Discussions Using Bigrams of Important Words. - Hugo Lewi Hammer (JISIC, 2014)

Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses. - Hugo Hammer; Aleksander Bai; Anis Yazidi; Paal Engelstad (NIK, 2014)

Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method. - Hugo Lewi Hammer; Per Erik Solberg; Lilja Øvrelid (WASSA@ACL, 2014)

Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus. - Hugo Hammer; Anis Yazidi; Aleksander Bai; Paal E. Engelstad (CIIA, 2015)

Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. - Paal E. Engelstad; Hugo Hammer; Anis Yazidi; Aleksander Bai (CyberC, 2015)

Analysis of Time-Dependencies in Automatic Security Classification. - Paal E. Engelstad; Hugo Hammer; Anis Yazidi; Aleksander Bai (CyberC, 2015)

On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. - Anis Yazidi; Hugo Lewi Hammer; Aleksander Bai; Paal Engelstad (ICAISC, 2015)

A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (IEA/AIE, 2015)

A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. - Anis Yazidi; Aleksander Bai; Hugo Hammer; Paal Engelstad (IEA/AIE, 2015)

Automatic security classification by machine learning for cross-domain information exchange. - Hugo Hammer; Kyrre Wahl Kongsgård; Aleksander Bai; Anis Yazidi; Nils Agne Nordbotten; Paal E. Engelstad (MILCOM, 2015)

Quantile estimation using the theory of stochastic learning. - Anis Yazidi; Hugo Hammer (RACS, 2015)

Automatic Security Classification with Lasso. - Paal E. Engelstad; Hugo Hammer; Kyrre Wahl Kongsgård; Anis Yazidi; Nils Agne Nordbotten; Aleksander Bai (WISA, 2015)

On the feasibility of machine learning as a tool for automatic security classification: A position paper. - Anis Yazidi; Hugo Hammer; Aleksander Bai; Paal E. Engelstad (ICNC, 2016)

Automatic Detection of Hateful Comments in Online Discussion. - Hugo Lewi Hammer (INISCOM, 2016)

Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. - Hugo Lewi Hammer; Anis Yazidi; Aleksander Bai; Paal Engelstad (INISCOM, 2016)

Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. - Hugo Lewi Hammer; Anis Yazidi; Alfred Bratterud; Hårek Haugerud; Boning Feng (INISCOM, 2016)

Reliable modeling of CPU usage in an office worker environment. - Hugo Lewi Hammer; Anis Yazidi; Kyrre M. Begnum (SAC, 2016)

Improving classification of tweets using word-word co-occurrence information from a large external corpus. - Hugo Lewi Hammer; Anis Yazidi; Aleksander Bai; Paal E. Engelstad (SAC, 2016)

Threat detection in online discussions. - Aksel Wester; Lilja Øvrelid; Erik Velldal; Hugo Lewi Hammer (WASSA@NAACL-HLT, 2016)

A Higher-Fidelity Frugal Quantile Estimator. - Anis Yazidi; Hugo Lewi Hammer; B. John Oommen (ADMA, 2017)

On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (CEC, 2017)

Incremental Quantiles Estimators for Tracking Multiple Quantiles. - Hugo Lewi Hammer; Anis Yazidi (IEA/AIE (1), 2017)

Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems. - Anis Yazidi; Hugo Lewi Hammer; Tore Møller Jonassen (IEA/AIE (1), 2017)

Data Mining Approaches for IP Address Clustering. - Madeleine Victoria Kongshavn; Anis Yazidi; Hårek Haugerud; Hugo Hammer (INISCOM, 2017)

The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements. - Evangelos Tasoulas; Hugo Lewi Hammer; Hårek Haugerud; Anis Yazidi; Alfred Bratterud; Boning Feng (NCA, 2017)

Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (RACS, 2017)

"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (Inf. Sci., 2017)

Quantile Estimation Based on the Principles of the Search on the Line. - Anis Yazidi; Hugo Lewi Hammer (AIAI, 2018)

Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes. - Hugo Lewi Hammer; Anis Yazidi (MED, 2018)

A Novel Incremental Quantile Estimator Using the Magnitude of the Observations. - Hugo Lewi Hammer; Anis Yazidi (MED, 2018)

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. - Vajira Thambawita; Debesh Jha; Michael Riegler 001; Pål Halvorsen; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen (MediaEval, 2018)

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. - Anis Yazidi; Hugo Hammer; B. John Oommen (IEEE Access, 2018)

Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator. - Hugo Lewi Hammer; Anis Yazidi (Appl. Intell., 2018)

Solving stochastic nonlinear resource allocation problems using continuous learning automata. - Anis Yazidi; Hugo Lewi Hammer (Appl. Intell., 2018)

A Queue Model for Reliable Forecasting of Future CPU Consumption. - Hugo Lewi Hammer; Anis Yazidi; Alfred Bratterud; Hårek Haugerud; Boning Feng (Mob. Networks Appl., 2018)

On the classification of dynamical data streams using novel "Anti-Bayesian" techniques. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (Pattern Recognit., 2018)

THREAT: A Large Annotated Corpus for Detection of Violent Threats. - Hugo Lewi Hammer; Michael A. Riegler; Lilja Øvrelid; Erik Velldal (CBMI, 2019)

Semantic Analysis of Soccer News for Automatic Game Event Classification. - Aanund Jupskås Nordskog; Pål Halvorsen; Steven Alexander Hicks; Håkon Kvale Stensland; Hugo Lewi Hammer; Dag Johansen; Michael A. Riegler (CBMI, 2019)

GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. - Vajira Thambawita; Hugo Lewi Hammer; Michael Riegler 001; Pål Halvorsen (CBMI, 2019)

Medico Multimedia Task at MediaEval 2019. - Steven Alexander Hicks; Pål Halvorsen; Trine B. Haugen; Jorunn M. Andersen; Oliwia Witczak; Konstantin Pogorelov; Hugo Lewi Hammer; Duc-Tien Dang-Nguyen; Mathias Lux; Michael Riegler 001 (MediaEval, 2019)

Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. - Steven Alexander Hicks; Pål Halvorsen; Trine B. Haugen; Jorunn M. Andersen; Oliwia Witczak; Konstantin Pogorelov; Hugo Lewi Hammer; Duc-Tien Dang-Nguyen; Mathias Lux; Michael Riegler 001 (MediaEval, 2019)

Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. - Vajira Thambawita; Pål Halvorsen; Hugo Hammer; Michael Riegler 001; Trine B. Haugen (MediaEval, 2019)

Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. - Vajira Thambawita; Pål Halvorsen; Hugo Hammer; Michael Riegler 001; Trine B. Haugen (MediaEval, 2019)

VISEM: a multimodal video dataset of human spermatozoa. - Trine B. Haugen; Steven Alexander Hicks; Jorunn M. Andersen; Oliwia Witczak; Hugo Lewi Hammer; Rune Johan Borgli; Pål Halvorsen; Michael Riegler 001 (MMSys, 2019)

A new quantile tracking algorithm using a generalized exponentially weighted average of observations. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Appl. Intell., 2019)

On solving the SPL problem using the concept of probability flux. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (Appl. Intell., 2019)

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation. - Anis Yazidi; Hugo Lewi Hammer; Tore Møller Jonassen (Appl. Intell., 2019)

A general representation of dynamical systems for reservoir computing. - Sidney Pontes-Filho; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (CoRR, 2019)

Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity. - Kristine Heiney; Vibeke Devold Valderhaug; Ioanna Sandvig; Axel Sandvig; Gunnar Tufte; Hugo Lewi Hammer; Stefano Nichele (CoRR, 2019)

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. - Steven Alexander Hicks; Jorunn M. Andersen; Oliwia Witczak; Vajira Thambawita; Pål Halvorsen; Hugo Lewi Hammer; Trine B. Haugen; Michael A. Riegler (CoRR, 2019)

Multiplicative Update Methods for Incremental Quantile Estimation. - Anis Yazidi; Hugo Hammer (IEEE Trans. Cybern., 2019)

Analysis of Optical Brain Signals Using Connectivity Graph Networks. - Marco Antonio Pinto-Orellana; Hugo Lewi Hammer (CD-MAKE, 2020)

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. - Sidney Pontes-Filho; Pedro G. Lind; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (EvoApplications, 2020)

The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. - Steven Alexander Hicks; Debesh Jha; Vajira Thambawita; Pål Halvorsen; Hugo Lewi Hammer; Michael A. Riegler (ICPR Workshops (8), 2020)

ACM Multimedia BioMedia 2020 Grand Challenge Overview. - Steven Alexander Hicks; Vajira Thambawita; Hugo Lewi Hammer; Trine B. Haugen; Jorunn M. Andersen; Oliwia Witczak; Pål Halvorsen; Michael A. Riegler (ACM Multimedia, 2020)

Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. - Henrik Svoren; Vajira Thambawita; Pål Halvorsen; Petter Jakobsen; Enrique Garcia-Ceja; Farzan Majeed Noori; Hugo Lewi Hammer; Mathias Lux; Michael Alexander Riegler; Steven Alexander Hicks (MMSys, 2020)

PMData: a sports logging dataset. - Vajira Thambawita; Steven Alexander Hicks; Hanna Borgli; Håkon Kvale Stensland; Debesh Jha; Martin Kristoffer Svensen; Svein Arne Pettersen; Dag Johansen; Håvard Dagenborg Johansen; Susann Dahl Pettersen; Simon Nordvang; Sigurd Pedersen; et al. (MMSys, 2020)

Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification. - Marco Antonio Pinto-Orellana; Hugo Lewi Hammer (IEEE Access, 2020)

Mitigating DDoS using weight-based geographical clustering. - Madeleine Victoria Kongshavn; Hårek Haugerud; Anis Yazidi; Torleiv Maseng; Hugo Hammer (Concurr. Comput. Pract. Exp., 2020)

A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. - Marco A. Pinto-Orellana; Diego C. Nascimento; Peyman Mirtaheri; Rune Jonassen; Anis Yazidi; Hugo Lewi Hammer (CoRR, 2020)

An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. - Vajira Thambawita; Debesh Jha; Hugo Lewi Hammer; Håvard D. Johansen; Dag Johansen; Pål Halvorsen; Michael A. Riegler (ACM Trans. Comput. Heal., 2020)

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer; Erik Arntzen (Neural Comput., 2020)

Smooth estimates of multiple quantiles in dynamically varying data streams. - Hugo Lewi Hammer; Anis Yazidi (Pattern Anal. Appl., 2020)

Tracking of multiple quantiles in dynamically varying data streams. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Pattern Anal. Appl., 2020)

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. - Matthias Boeker; Michael A. Riegler; Hugo Lewi Hammer; Pål Halvorsen; Ole Bernt Fasmer; Petter Jakobsen (CBMS, 2021)

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Steven Hicks; Debesh Jha; Vajira Thambawita; Hugo Hammer; Thomas de Lange; Sravanthi Parasa; Michael Riegler 001; Pål Halvorsen (MediaEval, 2021)

Temperature Forecasting using Tower Networks. - Siri S. Eide; Michael A. Riegler; Hugo Lewi Hammer; John Bjørnar Bremnes (ICDAR@ICMR, 2021)

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. - Enrique Garcia-Ceja; Vajira Thambawita; Steven Alexander Hicks; Debesh Jha; Petter Jakobsen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (MMM (2), 2021)

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). - Steven Alexander Hicks; Andrea Stautland; Ole Bernt Fasmer; Wenche Førland; Hugo Lewi Hammer; Pål Halvorsen; Kristin Mjeldheim; Ketil Joachim Oedegaard; Berge Osnes; Vigdis Elin Giæver Syrstad; Michael Alexander Riegler; Petter Jakobsen (MMSys, 2021)

Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. - Anastasiia Kolevatova; Michael A. Riegler; Francesco Cherubini; Xiangping Hu; Hugo Lewi Hammer (Big Data Cogn. Comput., 2021)

Prediction of Cloud Fractional Cover Using Machine Learning. - Hanna Svennevik; Michael A. Riegler; Steven Hicks; Trude Storelvmo; Hugo Lewi Hammer (Big Data Cogn. Comput., 2021)

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Vajira Thambawita; Pegah Salehi; Sajad Amouei Sheshkal; Steven Alexander Hicks; Hugo Lewi Hammer; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CoRR, 2021)

Artificial Intelligence in Dry Eye Disease. - Andrea M. Storås; Inga Strümke; Michael A. Riegler; Jakob Grauslund; Hugo Lewi Hammer; Anis Yazidi; Pål Halvorsen; Kjell G. Gundersen; Tor Paaske Utheim; Catherine Jackson (CoRR, 2021)

Joint tracking of multiple quantiles through conditional quantiles. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Inf. Sci., 2021)

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. - Asieh Abolpour Mofrad; Anis Yazidi; Samaneh Abolpour Mofrad; Hugo Lewi Hammer; Erik Arntzen (Neural Comput., 2021)

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. - Anis Yazidi; Hugo Lewi Hammer; Konstantin E. Samouylov; Enrique Herrera-Viedma (IEEE Trans. Cybern., 2021)

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. - Anis Yazidi; Ismail Hassan; Hugo Lewi Hammer; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2021)

Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. - Vajira Thambawita; Steven Hicks; Andrea M. Storås; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Hammer; Thu Nguyen 001; Pål Halvorsen; Michael Riegler 001 (MediaEval, 2022)

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis. - Akriti Sharma; Mette H. Stensen; Erwan Delbarre; Trine B. Haugen; Hugo Lewi Hammer (ICDAR@ICMR, 2022)

Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. - Akriti Sharma; Mette H. Stensen; Erwan Delbarre; Momin Naushad Siddiqui; Trine B. Haugen; Michael A. Riegler; Hugo Lewi Hammer (NAIS, 2022)

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. - Andrea M. Storås; Michael A. Riegler; Trine B. Haugen; Vajira Thambawita; Steven Alexander Hicks; Hugo Lewi Hammer; Radhika Kakulavarapu; Pål Halvorsen; Mette H. Stensen (NAIS, 2022)

VISEM-Tracking: Human Spermatozoa Tracking Dataset. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

Estimating Tukey depth using incremental quantile estimators. - Hugo Hammer; Anis Yazidi; Håvard Rue (Pattern Recognit., 2022)

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. - Siri S. Eide; Michael A. Riegler; Hugo Hammer; John Bjørnar Bremnes (Sensors, 2022)

Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. - Anis Yazidi; Marco Antonio Pinto-Orellana; Hugo Hammer; Peyman Mirtaheri; Enrique Herrera-Viedma (IEEE Trans. Cybern., 2022)

VISEM-Tracking. - Vajira Thambawita; Steven Alexander Hicks; Andrea M. Storås; Thu Nguyen 001; Jorunn M. Andersen; Oliwia Witczak; Trine B. Haugen; Hugo Lewi Hammer; Pål Halvorsen; Michael A. Riegler (Zenodo, 2022)

Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. - Thu Nguyen 001; Hoang Thien Ly; Michael Alexander Riegler; Pål Halvorsen; Hugo Lewi Hammer (ACIIDS (Companion), 2023)

ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. - Sajad Amouei Sheshkal; Michael Alexander Riegler; Hugo Lewi Hammer (CBMS, 2023)

Affect Recognition in Muscular Response Signals. - Matthias Boeker; Petter Jakobsen; Michael A. Riegler; Lena Antonsen Stabell; Ole Bernt Fasmer; Pål Halvorsen; Hugo Lewi Hammer (IEEE Access, 2023)

Efficient quantile tracking using an oracle. - Hugo Lewi Hammer; Anis Yazidi; Michael A. Riegler; Håvard Rue (Appl. Intell., 2023)

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. - Akriti Sharma; Ayaz Z. Ansari; Radhika Kakulavarapu; Mette H. Stensen; Michael A. Riegler; Hugo Lewi Hammer (Big Data Cogn. Comput., 2023)

Affect recognition in muscular response signals. - Matthias Boeker; Petter Jakobsen; Michael Alexander Riegler; Lena Antonsen Stabell; Ole Bernt Fasmer; Pål Halvorsen; Hugo Lewi Hammer (IEEE DataPort, 2023)

Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. - Thomas Tveitstøl; Mats Tveter; Ana S. Pérez T.; Christoffer Hatlestad-Hall; Anis Yazidi; Hugo Lewi Hammer; Ira R. J. Hebold Haraldsen (Frontiers Neuroinformatics, 2023)

Prediction of schizophrenia from activity data using hidden Markov model parameters. - Matthias Boeker; Hugo Lewi Hammer; Michael A. Riegler; Pål Halvorsen; Petter Jakobsen (Neural Comput. Appl., 2023)

Predictive Modelling of Muscle Fatigue in Climbing. - Matthias Boeker; Dana Swarbrick; Ulysse Côté Allard; Michael Alexander Riegler; Pål Halvorsen; Hugo Lewi Hammer (MMSports@MM, 2024)

Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach. - Matthias Boeker; Vajira Thambawita; Michael Riegler 001; Pål Halvorsen; Hugo Lewi Hammer (CoRR, 2024)

Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. - Sajad Amouei Sheshkal; Morten Gundersen; Michael Alexander Riegler; Øygunn Aass Utheim; Kjell Gunnar Gundersen; Hugo Lewi Hammer (CoRR, 2024)

Explainability of Machine Learning Models under Missing Data. - Tuan L. Vo; Thu Nguyen 001; Hugo Lewi Hammer; Michael A. Riegler; Pål Halvorsen (CoRR, 2024)

Efficient Estimation of Generative Models Using Tukey Depth. - Minh-Quan Vo; Thu Nguyen 001; Michael A. Riegler; Hugo Lewi Hammer (Algorithms, 2024)

POCACO: Polyp Videos for CADe Comparison. - Pia Helen Smedsrud; Nikolaos Papachrysos; Tor Jan Derek Berstad; Thomas de Lange; Kim V. Anonsen; Håvard Espeland; Andreas Petlund; Per Hedenström; Pål Halvorsen; Jonas Varkey; Hugo Lewi Hammer; Michael Riegler 001 (Zenodo, 2024)

Advancing EEG prediction with deep learning and uncertainty estimation. - Mats Tveter; Thomas Tveitstøl; Christoffer Hatlestad-Hall; Ana S. Pérez T.; Erik Taubøll; Anis Yazidi; Hugo Lewi Hammer; Ira R. J. Hebold Haraldsen (Brain Informatics, 2024)

A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem. - Anis Yazidi; Hugo Hammer; David S. Leslie (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Explanation Supported Learning: Improving Prediction Performance with Explainable Artificial Intelligence. - Adrian Duric; Jim Tørresen; Michael A. Riegler; Hugo Lewi Hammer (CBMS, 2025)

Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps. - Andrea M. Storås; Steffen Mæland; Jonas Isaksen; Steven Alexander Hicks; Vajira Thambawita; Claus Graff; Hugo Lewi Hammer; Pål Halvorsen; Michael Alexander Riegler; Jørgen K. Kanters (J. Am. Medical Informatics Assoc., 2025)

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics. - Michael A. Riegler; Kristoffer H. Hellton; Vajira Thambawita; Hugo Lewi Hammer (CoRR, 2025)