Jasminka Hasic
Sarajevo School of Science and Technology
5 Papers
40 Citations
Jasminka Hasic is an academic researcher from Sarajevo School of Science and Technology. The author has contributed to research in topics: Human visual system model & Visual perception. The author has an hindex of 4, co-authored 5 publications.
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Papers
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Laura Judith Marcos-Zambrano,Kanita Karaduzovic-Hadziabdic,Tatjana Loncar Turukalo,Piotr Przymus,Vladimir Trajkovik,Oliver Aasmets,Magali Berland,Aleksandra Gruca,Jasminka Hasic,Karel Hron,Thomas Klammsteiner,Mikhail Kolev,Leo Lahti,Marta B. Lopes,Victor Moreno,Irina Naskinova,Elin Org,Inês Paciência,Georgios Papoutsoglou,Rajesh Shigdel,Blaz Stres,Baiba Vilne,Malik Yousef,Eftim Zdravevski,Ioannis Tsamardinos,Enrique Carrillo de Santa Pau,Marcus J. Claesson,Isabel Moreno-Indias,Isabel Moreno-Indias,Jaak Truu +29 more
TL;DR: In this paper, a review of the state-of-the-art ML methods and respective software applied in human microbiome studies, performed as part of the COST Action ML4Microbiome activities, is presented.
Selective rendering in a multi-modal environment: scent and graphics
Belma Ramic,Alan Chalmers,Jasminka Hasic,Selma Rizvic +3 more
- 26 Apr 2007
TL;DR: This paper shows how it can potentially accelerate the rendering of images by directing the viewer's attention towards the source of a smell and selectively rendering at high quality only the smell emitting objects.
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Perceptually guided high-fidelity rendering exploiting movement bias in visual attention
Jasminka Hasic,Alan Chalmers,Elena Sikudova +2 more
- 10 Nov 2010
TL;DR: This article investigates the perception of rendering quality in dynamic complex scenes based on the introduction of a moving object in a scene, and uses this information to guide the high-fidelity selective renderer to produce perceptually high-quality images at significantly reduced computation times.
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Movement bias in visual attention for perceptually-guided selective rendering of animations
Jasminka Hasic,Alan Chalmers,Kurt Debattistta,Georgia Mastoropoulou +3 more
- 26 Apr 2007
TL;DR: This paper uses knowledge of the HVS to show that it can selectively render walk-throughs without perceptual loss of quality, at significantly reduced time, if high saliency movement is present during the animation.
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•Proceedings Article
Proceedings of the SIGGRAPH/Eurographics Workshop on Graphics Hardware: Preface
John D. Owens,David Luebke,Steven Molnar,Doggett Michael,Naga K. Govindaraju,Adam T. Lake,Philipp Slusallek,Jeremy W. Sheaffer,Anselmo Lastra,David F. McAllister,Jasminka Hasic,Selma Rizvic +11 more
- 01 Jan 2008
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