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Hugo Hammer
Hugo Lewi Hammer
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- affiliation: Oslo and Akershus University College of Applied Sciences, Oslo, Norway
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2020 – today
- 2024
- [j32]Minh-Quan Vo, Thu Nguyen, Michael A. Riegler, Hugo Lewi Hammer
:
Efficient Estimation of Generative Models Using Tukey Depth. Algorithms 17(3): 120 (2024) - [c59]Matthias Boeker
Predictive Modelling of Muscle Fatigue in Climbing. MMSports@MM 2024: 7-15 - [i13]Matthias Boeker, Vajira Thambawita, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach. CoRR abs/2402.17601 (2024) - [i12]Sajad Amouei Sheshkal, Morten Gundersen, Michael Alexander Riegler, Øygunn Aass Utheim, Kjell Gunnar Gundersen, Hugo Lewi Hammer:
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. CoRR abs/2406.14068 (2024) - 2023
- [j31]Matthias Boeker
Affect Recognition in Muscular Response Signals. IEEE Access 11: 61914-61928 (2023) - [j30]Hugo Lewi Hammer
Efficient quantile tracking using an oracle. Appl. Intell. 53(1): 289-300 (2023) - [j29]Akriti Sharma
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. Big Data Cogn. Comput. 7(2): 91 (2023) - [j28]Thomas Tveitstøl, Mats Tveter, Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazidi, Hugo Lewi Hammer, Ira R. J. Hebold Haraldsen:
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. Frontiers Neuroinformatics 17 (2023) - [j27]Matthias Boeker
Prediction of schizophrenia from activity data using hidden Markov model parameters. Neural Comput. Appl. 35(8): 5619-5630 (2023) - [c58]Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer:
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. ACIIDS (Companion) 2023: 254-266 - [c57]Sajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer:
ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. CBMS 2023: 335-340 - [d2]Matthias Boeker
Affect recognition in muscular response signals. IEEE DataPort, 2023 - 2022
- [j26]Hugo Hammer, Anis Yazidi, Håvard Rue:
Estimating Tukey depth using incremental quantile estimators. Pattern Recognit. 122: 108339 (2022) - [j25]Siri S. Eide
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors 22(7): 2802 (2022) - [j24]Anis Yazidi
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. IEEE Trans. Cybern. 52(1): 16-24 (2022) - [c56]Vajira Thambawita, Steven Hicks, Andrea M. Storås, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Hammer, Thu Nguyen, Pål Halvorsen, Michael Riegler:
Medico Multimedia Task at MediaEval 2022: Transparent Tracking of Spermatozoa. MediaEval 2022 - [c55]Akriti Sharma, Mette H. Stensen, Erwan Delbarre, Trine B. Haugen, Hugo Lewi Hammer:
Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis. ICDAR@ICMR 2022: 1-8 - [c54]Akriti Sharma
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm. NAIS 2022: 81-93 - [c53]Andrea M. Storås
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. NAIS 2022: 111-121 - [d1]Vajira Thambawita
VISEM-Tracking. Zenodo, 2022 - [i11]Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
VISEM-Tracking: Human Spermatozoa Tracking Dataset. CoRR abs/2212.02842 (2022) - 2021
- [j23]Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence. Big Data Cogn. Comput. 5(4): 55 (2021) - [j22]Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo
Prediction of Cloud Fractional Cover Using Machine Learning. Big Data Cogn. Comput. 5(4): 62 (2021) - [j21]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
Joint tracking of multiple quantiles through conditional quantiles. Inf. Sci. 563: 40-58 (2021) - [j20]Asieh Abolpour Mofrad
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Comput. 33(2): 483-527 (2021) - [j19]Anis Yazidi
Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. IEEE Trans. Cybern. 51(12): 5706-5716 (2021) - [j18]Anis Yazidi
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3444-3457 (2021) - [c52]Matthias Boeker
Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. CBMS 2021: 432-437 - [c51]Steven Hicks, Debesh Jha, Vajira Thambawita, Hugo Hammer, Thomas de Lange, Sravanthi Parasa, Michael Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. MediaEval 2021 - [c50]Siri S. Eide, Michael A. Riegler, Hugo Lewi Hammer, John Bjørnar Bremnes:
Temperature Forecasting using Tower Networks. ICDAR@ICMR 2021: 18-23 - [c49]Enrique Garcia-Ceja, Vajira Thambawita, Steven Alexander Hicks, Debesh Jha
HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. MMM (2) 2021: 196-205 - [c48]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:
HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). MMSys 2021: 314-319 - [i10]Vajira Thambawita, Pegah Salehi, Sajad Amouei Sheshkal, Steven Alexander Hicks, Hugo Lewi Hammer, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. CoRR abs/2107.00471 (2021) - [i9]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:
Artificial Intelligence in Dry Eye Disease. CoRR abs/2109.01658 (2021) - 2020
- [j17]Marco Antonio Pinto-Orellana
Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification. IEEE Access 8: 156096-156103 (2020) - [j16]Madeleine Victoria Kongshavn, Hårek Haugerud
Mitigating DDoS using weight-based geographical clustering. Concurr. Comput. Pract. Exp. 32(11) (2020) - [j15]Vajira Thambawita, Debesh Jha
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [j14]Asieh Abolpour Mofrad
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Comput. 32(5): 912-968 (2020) - [j13]Hugo Lewi Hammer
Tracking of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. 23(1): 225-237 (2020) - [j12]Hugo Lewi Hammer, Anis Yazidi:
Smooth estimates of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. 23(2): 555-566 (2020) - [c47]Marco Antonio Pinto-Orellana
Analysis of Optical Brain Signals Using Connectivity Graph Networks. CD-MAKE 2020: 485-497 - [c46]Sidney Pontes-Filho
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. EvoApplications 2020: 133-148 - [c45]Steven Alexander Hicks, Debesh Jha
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. ICPR Workshops (8) 2020: 263-274 - [c44]Steven Alexander Hicks, Vajira Thambawita, Hugo Lewi Hammer, Trine B. Haugen, Jorunn M. Andersen, Oliwia Witczak, Pål Halvorsen, Michael A. Riegler:
ACM Multimedia BioMedia 2020 Grand Challenge Overview. ACM Multimedia 2020: 4655-4658 - [c43]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, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c42]Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys 2020: 309-314 - [i8]Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri, Rune Jonassen, Anis Yazidi, Hugo Lewi Hammer:
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. CoRR abs/2001.08579 (2020) - [i7]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020)
2010 – 2019
- 2019
- [j11]Hugo Lewi Hammer
A new quantile tracking algorithm using a generalized exponentially weighted average of observations. Appl. Intell. 49(4): 1406-1420 (2019) - [j10]Asieh Abolpour Mofrad
On solving the SPL problem using the concept of probability flux. Appl. Intell. 49(7): 2699-2722 (2019) - [j9]Anis Yazidi
Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation. Appl. Intell. 49(9): 3392-3405 (2019) - [j8]Anis Yazidi
Multiplicative Update Methods for Incremental Quantile Estimation. IEEE Trans. Cybern. 49(3): 746-756 (2019) - [c41]Hugo Lewi Hammer, Michael A. Riegler, Lilja Øvrelid, Erik Velldal:
THREAT: A Large Annotated Corpus for Detection of Violent Threats. CBMI 2019: 1-5 - [c40]Aanund Jupskås Nordskog, Pål Halvorsen, Steven Alexander Hicks, Håkon Kvale Stensland, Hugo Lewi Hammer, Dag Johansen, Michael A. Riegler:
Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: 1-6 - [c39]Vajira Thambawita, Hugo Lewi Hammer, Michael Riegler, Pål Halvorsen:
GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. CBMI 2019: 1-4 - [c38]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:
Medico Multimedia Task at MediaEval 2019. MediaEval 2019 - [c37]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:
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. MediaEval 2019 - [c36]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology. MediaEval 2019 - [c35]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis. MediaEval 2019 - [c34]Trine B. Haugen
VISEM: a multimodal video dataset of human spermatozoa. MMSys 2019: 261-266 - [i6]Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello
A general representation of dynamical systems for reservoir computing. CoRR abs/1907.01856 (2019) - [i5]Kristine Heiney, Vibeke Devold Valderhaug, Ioanna Sandvig, Axel Sandvig, Gunnar Tufte, Hugo Lewi Hammer, Stefano Nichele:
Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity. CoRR abs/1907.02351 (2019) - [i4]Steven Alexander Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Trine B. Haugen, Michael A. Riegler:
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. CoRR abs/1910.13327 (2019) - [i3]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Stacked dense optical flows and dropout layers to predict sperm motility and morphology. CoRR abs/1911.03086 (2019) - [i2]Vajira Thambawita, Pål Halvorsen, Hugo Hammer, Michael Riegler, Trine B. Haugen:
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis. CoRR abs/1911.03100 (2019) - 2018
- [j7]Anis Yazidi
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. IEEE Access 6: 24362-24374 (2018) - [j6]Hugo Lewi Hammer
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator. Appl. Intell. 48(11): 4096-4112 (2018) - [j5]Anis Yazidi
Solving stochastic nonlinear resource allocation problems using continuous learning automata. Appl. Intell. 48(11): 4392-4411 (2018) - [j4]Hugo Lewi Hammer
A Queue Model for Reliable Forecasting of Future CPU Consumption. Mob. Networks Appl. 23(4): 840-853 (2018) - [j3]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques. Pattern Recognit. 76: 108-124 (2018) - [c33]Anis Yazidi, Hugo Lewi Hammer:
Quantile Estimation Based on the Principles of the Search on the Line. AIAI 2018: 481-492 - [c32]Hugo Lewi Hammer, Anis Yazidi:
Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes. MED 2018: 284-289 - [c31]Hugo Lewi Hammer, Anis Yazidi:
A Novel Incremental Quantile Estimator Using the Magnitude of the Observations. MED 2018: 290-295 - [c30]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval 2018 - [i1]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR abs/1810.13278 (2018) - 2017
- [j2]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids. Inf. Sci. 418: 495-512 (2017) - [c29]Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
A Higher-Fidelity Frugal Quantile Estimator. ADMA 2017: 76-86 - [c28]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. CEC 2017: 1173-1182 - [c27]Anis Yazidi, Hugo Lewi Hammer, Tore Møller Jonassen:
Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems. IEA/AIE (1) 2017: 92-101 - [c26]Hugo Lewi Hammer, Anis Yazidi:
Incremental Quantiles Estimators for Tracking Multiple Quantiles. IEA/AIE (1) 2017: 202-210 - [c25]Madeleine Victoria Kongshavn, Anis Yazidi, Hårek Haugerud
Data Mining Approaches for IP Address Clustering. INISCOM 2017: 266-275 - [c24]Evangelos Tasoulas, Hugo Lewi Hammer, Hårek Haugerud
The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements. NCA 2017: 113-117 - [c23]Asieh Abolpour Mofrad
Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation. RACS 2017: 30-35 - 2016
- [c22]Anis Yazidi, Hugo Hammer, Aleksander Bai, Paal E. Engelstad:
On the feasibility of machine learning as a tool for automatic security classification: A position paper. ICNC 2016: 1-6 - [c21]Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids. IEA/AIE 2016: 56-67 - [c20]Hugo Lewi Hammer, Anis Yazidi, Alfred Bratterud, Hårek Haugerud
Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. INISCOM 2016: 14-28 - [c19]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal Engelstad:
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. INISCOM 2016: 122-134 - [c18]Hugo Lewi Hammer:
Automatic Detection of Hateful Comments in Online Discussion. INISCOM 2016: 164-173 - [c17]Hugo Lewi Hammer, Anis Yazidi, Kyrre M. Begnum:
Reliable modeling of CPU usage in an office worker environment. SAC 2016: 480-483 - [c16]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Improving classification of tweets using word-word co-occurrence information from a large external corpus. SAC 2016: 1174-1177 - [c15]Aksel Wester, Lilja Øvrelid, Erik Velldal, Hugo Lewi Hammer:
Threat detection in online discussions. WASSA@NAACL-HLT 2016: 66-71 - 2015
- [c14]Hugo Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus. CIIA 2015: 205-216 - [c13]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. CyberC 2015: 44-53 - [c12]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Analysis of Time-Dependencies in Automatic Security Classification. CyberC 2015: 54-61 - [c11]Anis Yazidi, Hugo Lewi Hammer, Aleksander Bai, Paal Engelstad:
On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. ICAISC 2015: 799-810 - [c10]Anis Yazidi, Aleksander Bai, Hugo Hammer, Paal Engelstad:
A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. IEA/AIE 2015: 336-347 - [c9]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen
A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm. IEA/AIE 2015: 536-545 - [c8]Hugo Hammer, Kyrre Wahl Kongsgård, Aleksander Bai, Anis Yazidi, Nils Agne Nordbotten, Paal E. Engelstad:
Automatic security classification by machine learning for cross-domain information exchange. MILCOM 2015: 1590-1595 - [c7]Anis Yazidi, Hugo Hammer:
Quantile estimation using the theory of stochastic learning. RACS 2015: 7-14 - [c6]Paal E. Engelstad, Hugo Hammer, Kyrre Wahl Kongsgård, Anis Yazidi, Nils Agne Nordbotten, Aleksander Bai:
Automatic Security Classification with Lasso. WISA 2015: 399-410 - 2014
- [c5]Aleksander Bai, Hugo Hammer, Anis Yazidi, Paal Engelstad:
Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus. CSE 2014: 231-237 - [c4]Hugo Lewi Hammer:
Detecting Threats of Violence in Online Discussions Using Bigrams of Important Words. JISIC 2014: 319 - [c3]Hugo Hammer, Aleksander Bai, Anis Yazidi, Paal Engelstad:
Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses. NIK 2014 - [c2]Hugo Lewi Hammer, Per Erik Solberg, Lilja Øvrelid:
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method. WASSA@ACL 2014: 90-96 - 2011
- [j1]Hugo Hammer, Håkon Tjelmeland:
Approximate forward-backward algorithm for a switching linear Gaussian model. Comput. Stat. Data Anal. 55(1): 154-167 (2011) - [c1]J.-E. Tyvand, Kyrre M. Begnum, Hugo Hammer:
Déjà vu - Predicting the number of players in online games through normalization of historical data. NETGAMES 2011: 1-2
Coauthor Index
Paal E. Engelstad
aka: Paal Engelstad
aka: Paal Engelstad
Steven Alexander Hicks
aka: Steven Hicks
aka: Steven Hicks
[j30] [j28] [j26] [j24] [j21] [j20] [j19] [j18] [i9] [j16] [j14] [j13] [j12] [c46] [i8] [j11] [j10] [j9] [j8] [i6] [j7] [j6] [j5] [j4] [j3] [c33] [c32] [c31] [j2] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c3]
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