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Publications

 

2020:

Krzysztof Pietroszek. 2020. “Volumetric Filmmaking”. Encyclopedia of Computer Graphics and Games. Springer.

Christian Eckhardt, Stephan Lontschar, Krzysztof Pietroszek. 2020. “An Immersive and Interactive Visualization of Gravitational Waves”. In the Proceedings of the IEEE Virtual Reality Conference. Atlanta, USA. IEEE.

2019:

Krzysztof Pietroszek. 2019. “IRIS: Inter-reality interactive surface”. In the Proceedings of the 25th ACM Conference on Virtual Reality Software and Technology. Sydney, Australia. ACM.

Arthur G. Shapiro, Hedjar, L. (2019) Color illusion as a spatial binding problem,  Current Opinions in Behavioral Sciences Volume 30, December 2019. Pages 149-155

Corizzo, Roberto, Michelangelo Ceci, and Nathalie Japkowicz. “Anomaly detection and repair for accurate predictions in geo-distributed Big Data.” Big Data Research 16 (2019): 18-35.

Krzysztof Pietroszek. 2019. “Mixed-reality exhibition for the Museum of Peace Corps Experiences using AHMED toolset”. In the Proceedings of the 2019 Symposium on Spatial User Interaction. New Orleans, USA. ACM.

Hedjar, L., Cowardin, V. and Arthur G. Shapiro (2018). “Remote controls illusion: Strange interactions across space cannot be explained by simple contrast filters“. Journal of the Optical Society of America, A, 1;35(4):B152-B164.

Arthur G. Shapiro, Hedjar, L., Dixon, E. Kitaoka (2018).  “Kitaoka’s Tomato: two simple explanations based on information in the stimulus”.  I-Perception.

Krzysztof Pietroszek. 2019. “SIGMA: Spatial interaction gaming for movie- and arena-goers”. In the Proceedings of the 2019 Symposium on Spatial User Interaction. New Orleans, USA. ACM.

Crothers, Evan, Nathalie Japkowicz, and Herna Viktor. 2019 “Towards Ethical Content-Based Detection of Online Influence Campaigns.” arXiv preprint arXiv:1908.11030. 2019.

Krzysztof Pietroszek. 2019. “Virtual reality as a medium for remote class participation”. In the Proceedings from the Fifth Immersive Learning Research Network Conference (Workshop, Long and Short Paper, and Poster Abstracts). London, UK. Immersive Learning Network.

Krzysztof Pietroszek and Chao Cheng Lin. 2019. “UniVResity: Face-to-face class participation for remote students using virtual reality”. In the Proceedings of the 25th ACM Conference on Virtual Reality Software and Technology. Sydney, Australia. ACM.

Krzysztof Pietroszek and Carl Moore. 2019. “AHMED: Toolset for ad-hoc mixed-reality exhibition design”. In the Proceedings of the 25th ACM Conference on Virtual Reality Software and Technology. Sydney, Australia. ACM.

Krzysztof Pietroszek and Liudmila Tahai. 2019. “Scalebridge VR: Immersive proportional reasoning game for children with the brain-computer interface for difficulty scaling“. In the Proceedings of the 25th ACM Conference on Virtual Reality Software and Technology. Sydney, Australia. ACM.

Krzysztof Pietroszek, Amelia Tyson, Felipe Simas Magalhaes, Carlos Enrique Macher Barcenas, and PatriciaWand. 2019. “Museum in your living room: Recreating the peace corps experience in mixed reality”. In the Proceedings of 2019 IEEE Games, Entertainment, Media Conference (GEM). Yale University, USA. IEEE.

Liudmila Tahai, James R. Wallace, Christian Eckhardt, and Krzysztof Pietroszek. 2019. “Scalebridge: Design and evaluation of adaptive difficulty proportional reasoning game for children”. In the Proceedings of IEEE 11thInternational Conference on Virtual Worlds and Games for Serious Applications. Vienna, Austria. IEEE.

MWA Wijntjes, Bei Xiao, R. Volcic. 2019. “Visual communication of how fabrics feel”. Journal of Vision. 19 (2).

Wenyan Bi, Jin, P, Nienborg, H, and Bei Xiao. 2019. “Manipulating patterns of dynamic deformations alters the impression of cloth with varying stiffness”. Journal of Vision. 19 (5).

W Bi, G Kumar, H Nienborg, Bei Xiao. 2019. “Understanding Information Processing Mechanisms for Estimating Material Properties of Cloth in Deep Neural Networks”. Journal of Vision. 19 (10).

Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, and Deyu Tang. 2019. “Adaptive Learning on Mobile Network Traffic Data.” Connect. Sci.

Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Yongming Cai, Deyu Tang, and Xianfa Cai. 2019. “Mobile App Traffic Flow Feature Extraction and Selection for Improving Classification Robustness.” J. Network and Computer Applications.

Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, and Nathalie Japkowicz. 2019. “Spark-GHSOM: Growing Hierarchical Self-Organizing Map for Large Scale Mixed Attribute Datasets.” Inf. Sci.

Braxton Boren. 2019. “Computational Acoustic Musicology”. Digital Scholarship in the Humanities 34/4.

Braxton Boren. 2019. “Acoustic Simulation of Elizabeth I at Tilbury”. International Congress on Acoustics (ICA-2019), Aachen, Germany.

Wenyan Bi, G Kumar, H Nienborg, Bei Xiao. 2019. “Understanding Information Processing Mechanisms for Estimating Material Properties of Cloth in Deep Neural Networks”. Journal of Vision 19 (10).

 

2018:

Flynn, O. J. , Arthur G. Shapiro. (2018). “The Perpetual Diamond Phenomenon: Contrast Reversals and Motion Analysis”. I-Perception

Krzysztof Pietroszek. 2018. “Raycasting in Virtual Reality.” In Encyclopedia of Computer Graphics and Games., edited by Newton Lee. Springer.

Krzysztof Pietroszek. 2018. “Virtual Hand Metaphor in Virtual Reality.” In Encyclopedia of Computer Graphics and Games., edited by Newton Lee. Springer.

Krzysztof Pietroszek. 2018. “Virtual Pointing Metaphor in Virtual Reality.” In Encyclopedia of Computer Graphics and Games., edited by Newton Lee. Springer.

Bellinger, Colin, Shiven Sharma, and Nathalie Japkowicz. 2018. “One-Class Classification – From Theory to Practice: {A} Case-Study in Radioactive Threat Detection.” Expert Syst. Appl.

Bi, Wenyan, Jonathan Newport, and Bei Xiao. 2018. “Interaction between Static Visual Cues and Force-Feedback on the Perception of Mass of Virtual Objects.” In Proceedings of the 15th {ACM} Symposium on Applied Perception, {SAP} 2018, Vancouver, BC, Canada, August 10-11, 2018, edited by Cindy Grimm, Peter Willemsen, Joseph K Kearney, and Bernhard E Riecke, 12:1—-12:5. ACM.

W Bi, P Jin, H Nienborg, and Bei Xiao. 2018. “Participatory Design Fiction: Community Storytelling for Speculative Urban Technologies”Journal of vision. 18 (10), 225-225.

W Bi, P Jin, H Nienborg, and Bei Xiao. 2018. “Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning.” Journal of vision. 18 (5), 12-12.

Karl Baumann, Ben Caldwell, François Bar, Benjamin Stokes. 2018. “Participatory Design Fiction: Community Storytelling for Speculative Urban Technologies.” Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. VS09.

Dmitri Williams, Benjamin Stokes. 2018. “Gamers Who Protest: Small-Group Play and Social Resources for Civic Action.” Games and Culture. 13 (4), 327-348.

Samatha Dols, Aubrey Hill, Benjamin Stokes. 2018. 10.13140/RG.2.2.24580.01925

Clark, James, Zhen Liu, and Nathalie Japkowicz. 2018. “Adaptive Threshold for Outlier Detection on Data Streams.” In 5th {IEEE} International Conference on Data Science and Advanced Analytics, {DSAA} 2018, Turin, Italy, October 1-3, 2018, edited by Francesco Bonchi, Foster J Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, and Rayid Ghani, 41–49. IEEE.

Braxton Boren, Genovese, A. 2018. “Acoustics of Virtually Coupled Performance Spaces”. In the Proceedings o International Conference for Auditory Display (ICAD-2018), Houghton, MI.

Braxton Boren, Musick, M. 2018. “Spatial Organization in Musical Form”. In the Proceedings of the International Computer Music Conference, Daegu, South Korea.

Braxton Boren. 2018. “Acoustic Simulation of Julius Caesar’s Battlefield Speeches”. Acoustics 1(1), pp. 3-13; (Special Issue) Historical Acoustics: Relationships between Man and Sound over Time.

Datallo, A, I Humer, M Tahai, S Sueda, Krzysztof Pietroszek, and C Eckhardt. 2018. “Interactive Large Structure N-Body Gravity Simulation for Immersive Learning in Virtual Reality.” ILRN 2018 Montana.

Dong, Yue, and Nathalie Japkowicz. 2018. “Threaded Ensembles of Autoencoders for Stream Learning.” Computational Intelligence.

Nathalie Japkowicz, and Yuval Elovici. 2018. “Introduction to the Special Issue on Data Mining for Cybersecurity.” {IEEE} Intelligent Systems.

Moulton, Richard Hugh, Herna L Viktor, Nathalie Japkowicz, and João Gama. 2018. “Clustering in the Presence of Concept Drift.” In Machine Learning and Knowledge Discovery in Databases – European Conference, {ECML} {PKDD} 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part {I}, edited by Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, and Georgiana Ifrim, 11051:339–355. Lecture Notes in Computer Science. Springer.

Krzysztof Pietroszek, Christian Eckhardt, and Liudmila Tahai. 2018. “Hamlet: Directing Virtual Actors in Computational Live Theater.” In Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 93. ACM.

Shapiro, Daniel, Nathalie Japkowicz, Mathieu Lemay, and Miodrag Bolic. 2018. “Fuzzy String Matching with a Deep Neural Network.” Applied Artificial Intelligence.

Sharma, Shiven, Colin Bellinger, Bartosz Krawczyk, Osmar R Zaiane, and Nathalie Japkowicz. 2018. “Synthetic Oversampling with the Majority Class: {A} New Perspective on Handling Extreme Imbalance.” In {IEEE} International Conference on Data Mining, {ICDM} 2018, Singapore, November 17-20, 2018, 447–456. {IEEE} Computer Society.

Sharma, Shiven, Anil Somayaji, and Nathalie Japkowicz. 2018. “Learning over Subconcepts: Strategies for 1-Class Classification.” Computational Intelligence.

Taylor, Adrian, Sylvain Leblanc, and Nathalie Japkowicz. 2018. “Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework.” {IEEE} Intelligent Systems.

Torgo, Luis, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, and Paula Branco. 2018. “2nd Workshop on Learning with Imbalanced Domains: Preface.” In Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, 94:1–7. Proceedings of Machine Learning Research. PMLR.

Yang, Zhao, and Nathalie Japkowicz. 2018. “Anomaly Behaviour Detection Based on the Meta-Morisita Index for Large Scale Spatio-Temporal Data Set.” J. Big Data.