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Filters: Author is Hugo Lewi Hammer  [Clear All Filters]
2020
A. Yazidi, I. Hassan, H. L. Hammer, and J. B Oommen. "Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm." IEEE Transactions on Neural Networks and Learning Systems (2020).
S. Hicks, V. Thambawita, H. L. Hammer, T. B. Haugen, J. M. Andersen, O. Witczak, P. Halvorsen, and M. Riegler. ACM Multimedia BioMedia 2020 Grand Challenge Overview In Proceedings of the 28th ACM International Conference on Multimedia. New York, NY, USA: Association for Computing Machinery, 2020.
M. A. Pinto-Orellana, and H. L. Hammer. Analysis of Optical Brain Signals Using Connectivity Graph Networks In International Cross-Domain Conference for Machine Learning and Knowledge Extraction. {Springer, 2020.
A. Yazidi, A. A. Mofrad, M. Goodwin, H. L. Hammer, and E. Arntzen. "Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow." Cognitive Neurodynamics 14 (2020): 675-687.
S. Hicks, T. B. Haugen, M. Iliceto, H. L. Hammer, J. M. Andersen, O. Witczak, M. Riegler, and M. Stensen. "Big data is not always better – prediction of live birth using machine learning on time-lapse videos of human embryos." Human Reproduction (2020).
M. A. Pinto-Orellana, and H. L. Hammer. "Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification." IEEE Access 8 (2020): 156096-156103.
S. Hicks, D. Jha, V. Thambawita, P. Halvorsen, H. L. Hammer, and M. Riegler. The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy In ICPR., 2020.
A. A. Mofrad, A. Yazidi, H. L. Hammer, and E. Arntzen. "Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes." Neural Computation 32 (2020): 912-968.
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte, and S. Nichele. EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality In International Conference on the Applications of Evolutionary Computation (Part of EvoStar). Cham: Springer, 2020.
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen, and M. Riegler. "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 (2020).PDF icon acm_health.pdf (7.62 MB)
A. Yazidi, H. L. Hammer, K. Samouylov, and E. Herrera-Viedma. "Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth." IEEE Transactions on Cybernetics (2020).
H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al. "HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy." Scientific Data (2020).PDF icon nature_scientific_data_hyper_kvasir_revision.pdf (6.09 MB)
M. Kongshavn, H. Haugerud, A. Yazidi, T. Maseng, iv, and H. L. Hammer. "Mitigating DDoS using weight-based geographical clustering." Concurrency and Computation: Practice and Experience 32 (2020): e5679.
S. Pontes-Filho, P. Lind, A. Yazidi, J. Zhang, H. L. Hammer, G. B. M. Mello, I. Sandvig, G. Tufte, and S. Nichele. "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 (2020): 1-18.
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al. PMData: a sports logging dataset In ACM MMSys 2020., 2020.PDF icon 3339825.3394926.pdf (23.99 MB)
A. Yazidi, M. A. Pinto-Orellana, H. L. Hammer, P. Mirtaheri, and E. Herrera-Viedma. "Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics." IEEE Transactions on Cybernetics (2020).
H. Svoren, V. Thambawita, P. Halvorsen, P. Jakobsen, E. Garcia-Ceja, F. M. Noori, H. L. Hammer, M. Lux, M. Riegler, and S. Hicks. Toadstool: A Dataset for Training Emotional IntelligentMachines Playing Super Mario Bros In The ACM Multimedia Systems Conference (MMSys). The ACM Multimedia Systems Conference (MMSys): ACM, 2020.
2019
M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia, and T. Haugen. "Artificial intelligence as a tool in predicting sperm motility and morphology: P-116." Human Reproduction 34 (2019).
O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler, and T. Haugen. "Artificial intelligence predicts sperm motility from sperm fatty acids: P-120." Human Reproduction 34 (2019).
N. Tatara, H. L. Hammer, J. Mirkovic, M. K. R. Kjøllesdal, and H. K. Andreassen. "Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway." JMIR public health and surveillance 5 (2019): e11998.PDF icon associations_between_immigration-related_user_factors_and_ehealth_activities_for_self-care.pdf (143.1 KB)
V. Thambawita, P. Halvorsen, H. L. Hammer, M. Riegler, and T. B. Haugen. Extracting temporal features into a spatial domain using autoencoders for sperm video analysis In MediaEval 2019. CEUR Workshop Proceedings, 2019.PDF icon medico_2019_paper_2_ae_based_method_vajira.pdf (1.6 MB)
V. Thambawita, H. L. Hammer, M. Riegler, and P. Halvorsen. GANEx: A complete pipeline of training, inference and benchmarking GAN experiments In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon ganex_a_complete_pipeline_of_training_inference_and_benchmarking_gan_experiments_to_organizers.pdf (440.11 KB)
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen, and M. Riegler. "Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction." Nature Scientific Reports 9, no. 1 (2019).