Hugo Lewi Hammer

Hugo Lewi Hammer (født 1976) er en norsk statistiker og professor ved Institutt for informasjonsteknologi ved Oslomet – storbyuniversitetet. Hammer er også leder for rådgivende utvalg i OsloMet Artificial Intelligence Lab (AI Lab), et forskningssenter for kunstig intelligens som drives av Oslomet og Simula Metropolitan Center for Digital Engineering. Hammer har en bistilling som forsker ved Simula Metropolitan Center for Digital Engineering.

Hammers fremste forskningsinteresser er Bayesiansk statistikk, maskinlæring og forsterkende læring, sanntidsanalyse og stokastisk simulering.

Utdanning og yrkeskarriere 
Hammer har doktorgrad i beregningsorientert statistikk fra Norges teknisk-naturvitenskapelige universitet (NTNU). Avhandlingen hadde tittelen Topics in stochastic simulation, with an application to seismic inversion, og ble publisert i 2008.

I 2008 ble Hammer ansatt som forsker ved Norsk Regnesentral, og året etter ble han tilsatt som førsteamanuensis ved Institutt for informasjonsteknologi ved Oslomet - storbyuniversitetet, der han har vært tilsatt siden.

Vitenskapelige publikasjoner 
Et utvalg av Hammers nyeste vitenskapelige publikasjoner:

 Thambawita, Vajira; Jha, Debesh; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag; Halvorsen, Pål; Riegler, Michael (2020). An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. 29 s. ACM Transactions on Computing for Healthcare. Vol. 1.

 Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi; Arntzen, Erik (2020). Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Computation. Vol. 32.

 Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (2020). HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific Data.

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

 Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (2020). Analysis of Optical Brain Signals Using Connectivity Graph Networks. Lecture Notes in Computer Science (LNCS).

 Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (2020). Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow. Cognitive Neurodynamics. Vol. 14.

 Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, John (2020). Achieving Fair Load Balancing by Invoking a Learning Automata-based Two Time Scale Separation Paradigm. 14 s. IEEE Transactions on Neural Networks and Learning Systems.

 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 (2020). PMData: a sports logging dataset. Alay, Özgü; Toni, Laura (Red.). MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference. konferanseartikkel. s. 231-236. Association for Computing Machinery (ACM).

 Svoren, Henrik; Thambawita, Vajira; Halvorsen, Pål; Jakobsen, Petter; Garcia-Ceja, Enrique; Noori, Farzan Majeed; Hammer, Hugo Lewi; Lux, Mathias; Riegler, Michael; Hicks, Steven (2020). Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. Alay, Özgü; Toni, Laura (Red.). MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference. Article. s. 309-314. Association for Computing Machinery (ACM).

 Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Red.). Applications of Evolutionary Computation. Mangler. s. 133-148. Springer.

 Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics.

 Yazidi, Anis; Hammer, Hugo Lewi; Samouylov, Konstantin; Herrera-Viedma, Enrique (2019). Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. IEEE Transactions on Cybernetics.

 Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael (2019). VISEM: A Multimodal Video Dataset of Human Spermatozoa. Zink, Michael; Toni, Laura; Begen, AC (Red.). Proceedings of the 10th ACM Multimedia Systems Conference. Paper. s. 261-266. ACM Publications.

 Thambawita, Vajira; Hammer, Hugo Lewi; Riegler, Michael Alexander; Halvorsen, Pål (2019). GANEx: A complete pipeline of training, inference and benchmarking GAN experiments. Proceedings of Content Based Multimedia Information (CBMI 2019). Kapittel. IEEE conference proceedings.

 Hammer, Hugo Lewi; Riegler, Michael Alexander; Øvrelid, Lilja; Velldal, Erik (2019). THREAT: A Large Annotated Corpus for Detection of Violent Threats. Proceedings of Content Based Multimedia Information (CBMI 2019). 1. s. 1-5. IEEE conference proceedings.

 Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Nichele, Stefano; Tufte, Gunnar (2019). A general representation of dynamical systems for reservoir computing. Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. paper No. 8. IEEE.

 Yazidi, Anis; Hammer, Hugo Lewi; Jonassen, Tore Møller (2019). Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation. Applied intelligence (Boston). Vol. 49.

 Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Lasantha Bandara Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo Lewi; Haugen, Trine B.; Riegler, Michael Alexander (2019). Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction. Scientific Reports. Vol. 9.

 Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael (2019). Semantic Analysis of Soccer News for Automatic Game Event Classification. Proceedings of Content Based Multimedia Information (CBMI 2019). KAPITTEL. IEEE conference proceedings.

 Tatara, Naoe; Hammer, Hugo Lewi; Mirkovic, Jelena; Kjøllesdal, Marte Karoline Råberg; Andreassen, Hege Kristin (2019). Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. 15 s. JMIR Public Health and Surveillance. Vol. 5.

 Yazidi, Anis; Hammer, Hugo Lewi (2019). Multiplicative Update Methods for Incremental Quantile Estimation. IEEE Transactions on Cybernetics. Vol. 49.

 Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi (2019). On solving the SPL problem using the concept of probability flux. Applied intelligence (Boston). Vol. 49.

 Hammer, Hugo Lewi; Yazidi, Anis (2019). Smooth estimates of multiple quantiles in dynamically varying data streams. Pattern Analysis and Applications.

 Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (2019). Tracking of Multiple Quantiles in Dynamically Varying Data Streams. Pattern Analysis and Applications.

En fullstendig liste over Hammers publikasjoner finnes på Oslomets ansattside.

Referanser 

Norske statistikere
Professorer ved Oslomet – storbyuniversitetet