Blar i ODA Open Digital Archive på forfatter "Hammer, Hugo Lewi"

Viser treff 61-80 av 85

    • PMData: a sports logging dataset 

      Thambawita, Vajira; Hicks, Steven; Borgli, Hanna; Stensland, Håkon Kvale; Jha, Debesh; Svensen, Martin Kristoffer; Pettersen, Svein Arne; Johansen, Dag; Johansen, Håvard D.; Pettersen, Susann Dahl; Nordvang, Simon; Pedersen, Sigurd; Gjerdrum, Anders Tungeland; Grønli, Tor-Morten; Fredriksen, Per Morten; Eg, Ragnhild; Hansen, Kjeld S.; Fagernes, Siri; Claudi, Christine; Biørn-Hansen, Andreas; Dang Nguyen, Duc Tien; Kupka, Tomas; Hammer, Hugo Lewi; Jain, Ramesh; Riegler, Michael; Halvorsen, Pål (MM: International Multimedia Conference;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, Conference object, 2020-05-27)
      In this paper, we present PMData: a dataset that combines traditional lifelogging data with sports-activity data. Our dataset enables the development of novel data analysis and machine-learning applications where, for ...

    • Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos 

      Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, ...

    • Prediction of schizophrenia from activity data using hidden Markov model parameters 

      Boeker, Matthias; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; Jakobsen, Petter (Peer reviewed; Journal article, 2022)

    • Quantile Estimation Based on the Principles of the Search on the Line 

      Yazidi, Anis; Hammer, Hugo Lewi (IFIP Advances in Information and Communication Technology;Vol 519, Chapter; Peer reviewed, 2018-05-22)
      The goal of our research is to estimate the quantiles of a distribution from a large set of samples that arrive sequentially. We propose a novel quantile estimator that requires a finite memory and is simple to implement. ...

    • Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data 

      Hammer, Hugo Lewi; Yazidi, Anis; Bratterud, Alfred; Haugerud, Hårek; Feng, Boning (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;188(1), Journal article; Peer reviewed, 2016)
      Statistical queuing models are popular to analyze a computer systems ability to process different types requests. A common strategy is to run stress tests by sending artificial requests to the system. The rate ...

    • Reliable modeling of CPU usage in an office worker environment 

      Hammer, Hugo Lewi; Yazidi, Anis; Begnum, Kyrre (Proceedings of the 31st Annual ACM Symposium on Applied Computing;2016, Chapter; Peer reviewed, 2016)
      In this paper, we present a novel and realistic model for modelling CPU usage of virtual machines on a cloud. The model is based on considering the CPU consumption of a virtual machine as a one generated from a Hidden ...

    • Semantic Analysis of Soccer News for Automatic Game EventClassification 

      Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (International Workshop on Content-Based Multimedia Indexing, CBMI; 2019 International Conference on Content-Based Multimedia Indexing (CBMI), Conference object, 2019-10-21)
      We are today overwhelmed with information, of which an important part is news. Sports news, in particular, has become very popular, where soccer makes up a big part of this coverage. For sports fans, it can be a time ...

    • Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method 

      Hammer, Hugo Lewi; Solberg, Per Erik; Øvrelid, Lilja (Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis;5th, Peer reviewed; Chapter, 2014)
      Online political discussions have received a lot of attention over the past years. In this paper we compare two sentiment lexicon approaches to classify the sentiment of sentences from political discussions. The first ...

    • Sentiment classification of online political discussions: a comparison of a word-based and dependencybased method 

      Hammer, Hugo Lewi; Solberg, Per Erik; Øverlid, Lilja (5th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis;, Chapter; Peer reviewed, 2014)
      Online political discussions have received a lot of attention over the past years. In this paper we compare two sentiment lexicon approaches to classify the sentiment of sentences from political discussions. The first ...

    • SinGAN-Seg: Synthetic training data generation for medical image segmentation 

      Thambawita, Vajira L B; Salehi, Pegah; Sheshkal, Sajad Amouei; Hicks, Steven; Hammer, Hugo Lewi; Parasa, Sravanthi; de Lange, Thomas; Halvorsen, Pål; Riegler, Michael (PLOS ONE;17(5): e0267976, Peer reviewed; Journal article, 2022-05-02)
      Analyzing medical data to find abnormalities is a time-consuming and costly task, particularly for rare abnormalities, requiring tremendous efforts from medical experts. Therefore, artificial intelligence has become a ...

    • Smooth estimates of multiple quantiles in dynamically varying data streams 

      Hammer, Hugo Lewi; Yazidi, Anis (Pattern Analysis and Applications;Published online:09 April 2019, Journal article; Peer reviewed, 2019-04-09)
      In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume a dynamical system, i.e. the distribution of the samples from the data stream changes ...

    • Solving stochastic nonlinear resource allocation problems using continuous learning automata 

      Yazidi, Anis; Hammer, Hugo Lewi (Applied Intelligence;November 2018, Volume 48, Issue 11, Journal article; Peer reviewed, 2018-06-23)
      This paper deals with the Stochastic Non-linear Fractional Equality Knapsack (NFEK) problem which is a fundamental resource allocation problem based on incomplete and noisy information [7, 8]. The NFEK problem arises ...

    • Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation 

      Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi (Chapter; Peer reviewed, 2017)
      The Stochastic Point Location (SPL) problem introduced by Oommen [7] can be summarized as searching for an unknown point in the interval under a possibly faulty feedback. The search is performed via a Learning Mechanism ...

    • Statistical models for short- and long-term forecasts of snow depth 

      Hammer, Hugo Lewi (Journal article; Peer reviewed, 2017)
      Forecasting of future snow depths is useful for many applications like road safety, winter sport activities, avalanche risk assessment and hydrology. Motivated by the lack of statistical forecasts models for snow depth, ...

    • The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes:Case of First-Generation Immigrants From Pakistan inthe Oslo Area, Norway 

      Tatara, Naoe; Hammer, Hugo Lewi; Andreassen, Hege; Mirkovic, Jelena; Kjøllesdal, Marte Karoline Råberg (Journal article; Peer reviewed, 2017)
      Background: Sociodemographic and health-related factors are often investigated for their association with the active use of electronic health (eHealth). The importance of such factors has been found to vary, depending on ...

    • Threat detection in online discussions 

      Wester, Aksel Ladegård; Øvrelid, Lilja; Velldal, Erik; Hammer, Hugo Lewi (Chapter; Peer reviewed; Chapter, 2016)
      This paper investigates the effect of various types of linguistic features (lexical, syntactic and semantic) for training classifiers to detect threats of violence in a corpus of YouTube comments. Our ...

    • THREAT: A Large Annotated Corpus for Detection of Violent Threats 

      Hammer, Hugo Lewi; Riegler, Michael Alexander; Øvrelid, Lilja; Velldal, Erik (International Workshop on Content-Based Multimedia Indexing, CBMI;2019 International Conference on Content-Based Multimedia Indexing (CBMI), Conference object, 2019-10-21)
      Understanding, detecting, moderating and in extreme cases deleting hateful comments in online discussions and social media are well-known challenges. In this paper we present a dataset consisting of a total of around 30000 ...

    • Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros 

      Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan Majeed; Hammer, Hugo Lewi; Lux, Mathias; Riegler, Michael; Hicks, Steven (MMSys: Multimedia Systems;MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference, Conference object, 2020)
      Games are often defined as engines of experience, and they are heavily relying on emotions, they arouse in players. In this paper, we present a dataset called Toadstool as well as a reproducible methodology to extend ...

    • Tracking of Multiple Quantiles in Dynamically Varying Data Streams 

      Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (Pattern Analysis and Applications;, Journal article; Peer reviewed, 2019-01-16)
      In this paper we consider the problem of tracking multiple quantiles of dynamicallyvarying data stream distributions. The method is based on making incremental updates ofthe quantile estimates every time ...

    • Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation 

      Yazidi, Anis; Hammer, Hugo Lewi; Jonassen, Tore Møller (Applied Intelligence;Volume 49, Issue 9, Journal article; Peer reviewed, 2019-04-11)
      The Stochastic Non-linear Fractional Equality Knapsack (NFEK) problem is a substantial resource allocation problem which admits a large set of applications such as web polling under polling constraints, and constrained ...