English version
Hugo Lewi Hammer

Hugo Lewi Hammer

Kort om

Hammer har en master i industriell matematikk fra 2003 og en doktorgrad i beregningsorientert statistikk fra 2008. Hans forskningsinteresser er blant annet innen forbedring av pålitelighet og transparens av maskinlæring-, forsterkende læring- og dype lærings-modeller ved utvikling av metoder innen modelltolkning, usikkerhetskvantifisering, robust statistikk og kausal inferens.

Fagområder

Vitenskapsdisipliner

Statistikk

Emner

Bayesiansk statistikk   Regresjon   Kunstig intelligens   Maskinlæring   Anvendt statistikk   Stokastisk simulering   Big Data

Land

Norge

Vitenskapelige publikasjoner

Hammer, Hugo Lewi; Yazidi, Anis; Riegler, Michael; Rue, Håvard (2022). Efficient quantile tracking using an oracle. Applied intelligence (Boston) .

Eide, Siri Sofie; Riegler, Michael; Hammer, Hugo Lewi; Bremnes, John Bjørnar (2022). Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources. Sensors . Vol. 22.

Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (2022). Estimating tukey depth using incremental quantile estimators. Pattern Recognition .
https://hdl.handle.net/11250/2983184

Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (2021). Artificial intelligence in dry eye disease. The ocular surface . Vol. 23.

Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (2021). Joint tracking of multiple quantiles through conditional quantiles. Information Sciences . Vol. 563.

Garcia-Ceja, Enrique; Thambawita, Vajira L B; Hicks, Steven; Jha, Debesh; Jakobsen, Petter; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (2021). HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features. Lecture Notes in Computer Science (LNCS) . Vol. 12573.
https://hdl.handle.net/10037/24384

Boeker, Matthias; Riegler, Michael; Hammer, Hugo Lewi; Halvorsen, Pål; Fasmer, Ole Bernt; Jakobsen, Petter (2021). Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters. Almeida, João Rafael; González, Alejandro Rodríguez; Shen, Linling (Red.). Proceeding of 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Artikkel. IEEE conference proceedings.

Thambawita, Vajira L B; Isaksen, Jonas L.; Hicks, Steven A.; Ghouse, Jonas; Ahlberg, Gustav; Linneberg, Allan; Grarup, Niels; Ellervik, Christina; Olesen, Morten Salling; Hansen, Torben; Graff, Claus; Holstein-Rathlou, Niels-Henrik; Strümke, Inga; Hammer, Hugo L.; Maleckar, Mary M.; Halvorsen, Pål; Riegler, Michael A.; Kanters, Jørgen K. (2021). DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. 8 s. Scientific Reports . Vol. 11.
https://hdl.handle.net/10037/24057

Hicks, Steven; Stautland, Andrea; Fasmer, Ole Bernt; Førland, Wenche; Hammer, Hugo Lewi; Halvorsen, Pål; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Osnes, Berge; Syrstad, Vigdis Elin Giæver; Riegler, Michael; Jakobsen, Petter (2021). HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD). MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference.

Svennevik, Hanna; Riegler, Michael A.; Hicks, Steven; Storelvmo, Trude; Hammer, Hugo L. (2021). Prediction of cloud fractional cover using machine learning. 13 s. Big Data and Cognitive Computing . Vol. 5.
http://hdl.handle.net/10852/89673

Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (2021). Artificial intelligence in the fertility clinic: status, pitfalls and possibilities. Human Reproduction . Vol. 36.
https://hdl.handle.net/10037/23966

Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (2021). Unraveling the impact of land cover changes on climate using machine learning and explainable artificial intelligence. Big Data and Cognitive Computing . Vol. 5.
https://hdl.handle.net/11250/2829860

Thambawita, Vajira L B; Hicks, Steven; Isaksen, Jonas L; Stensen, Mette H.; Haugen, Trine B.; Kanters, Jørgen K; Parasa, Sravanthi; Lange, Thomas de; Johansen, Håvard D.; Johansen, Dag; Hammer, Hugo Lewi; Halvorsen, Pål; Riegler, Michael (2021). DeepSynthBody: the beginning of the end for data deficiency in medicine. Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (Red.). Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. 10th paper. s. 1-8. IEEE conference proceedings.

Smedsrud, Pia; Thambawita, Vajira L B; Hicks, Steven; Gjestang, Henrik; Nedrejord, Oda Olsen; Næss, Espen; Borgli, Hanna; Jha, Debesh; Berstad, Tor Jan; Eskeland, Sigrun Losada; Lux, Mathias; Espeland, Håvard; Petlund, Andreas; Dang Nguyen, Duc Tien; Garcia-Ceja, Enrique; Johansen, Dag; Schmidt, Peter Thelin; Toth, Ervin; Hammer, Hugo Lewi; de Lange, Thomas; Riegler, Michael Alexander; Halvorsen, Pål (2021). Kvasir-Capsule, a video capsule endoscopy dataset. 10 s. Scientific Data . Vol. 8.
http://hdl.handle.net/10852/86287

Abolpour Mofrad, Asieh; Yazidi, Anis; Abolpour Mofrad, Samaneh; Hammer, Hugo Lewi; Arntzen, Erik (2021). Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Computation . Vol. 33.
https://hdl.handle.net/11250/2728180

Yazidi, Anis; Hassan, Ismail; Hammer, Hugo Lewi; Oommen, John (2021). Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Transactions on Neural Networks and Learning Systems . Vol. 32.
https://hdl.handle.net/11250/2727534

Hicks, Steven; Lasantha Bandara Thambawita, Vajira; Hammer, Hugo Lewi; Haugen, Trine B.; Andersen, Jorunn Marie; Witczak, Oliwia; Halvorsen, Pål; Riegler, Michael (2020). ACM Multimedia BioMedia 2020 Grand Challenge Overview. Qi, Guo-Jun; Ricci, Elisa; Zhang, Zhengyou; Zimmermann, Roger (Red.). MM '20: Proceedings of the 28th ACM International Conference on Multimedia. Paper. s. 4655-4658. Association for Computing Machinery (ACM).

Lasantha Bandara 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. ACM Transactions on Computing for Healthcare (HEALTH) . Vol. 1:17.

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.
https://hdl.handle.net/11250/2680093

Borgli, Hanna; Lasantha Bandara Thambawita, Vajira; Smedsrud, Pia; 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 . Vol. 7.
http://hdl.handle.net/10852/82058

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.
https://hdl.handle.net/11250/2676071

Rønning, Madeleine; Haugerud, Hårek; Yazidi, Anis; Maseng, Torleiv; Hammer, Hugo Lewi (2020). Mitigating DDoS using weight-based geographical clustering. 17 s. Concurrency and Computation . Vol. 32.

Lasantha Bandara Thambawita, Vajira; Hicks, Steven; Borglia, 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-Nielsen, 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).
https://hdl.handle.net/11250/2994509

Svoren, Henrik; Lasantha Bandara 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.
https://hdl.handle.net/11250/2724664

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 .
https://hdl.handle.net/11250/2657791

Hicks, Steven; Halvorsen, Pål; Haugen, Trine B.; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Nguyen, Duc Tien Dang; Lux, Mathias; Riegler, Michael (2019). Medico multimedia task at mediaeval 2019. CEUR Workshop Proceedings . Vol. 2670.

Hicks, Steven; Halvorsen, Pål; Haugen, Trine B.; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Nguyen, Duc Tien Dang; Lux, Mathias; Riegler, Michael (2019). Predicting sperm motility and morphology using deep learning and handcrafted features. CEUR Workshop Proceedings . Vol. 2670.





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