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Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze

Michael Barz, Daniel Sonntag
2021 Sensors  
In this work, we implement two methods to automatically detect visual attention to AOIs using pre-trained deep learning models for image classification and object detection.  ...  Furthermore, we develop an evaluation framework based on the VISUS dataset and well-known performance metrics from the field of activity recognition.  ...  In particular, we suggest to use interactive machine learning for adapting our methods to new scenarios or to differentiate between instances of the same concept.  ... 
doi:10.3390/s21124143 fatcat:hpozbaffr5gxzmq5xptpyygk4m


Nick Barnes, Peter Baumgartner, Tiberio Caetano, Hugh Durrant-Whyte, Gerwin Klein, Penelope Sanderson, Abdul Sattar, Peter Stuckey, Sylvie Thiebaux, Pascal Van Hentenryck, Toby Walsh
2012 The AI Magazine  
While it has close links with local universities, it is in fact an independent but not-for-profit company in the business of doing research, commercializing that research and training PhD students to do  ...  NICTA is Australia's Information and Communications Technology (ICT) Centre of Excellence. It is the largest organization in Australia dedicated to ICT research.  ...  Machine Learning The machine-learning group at NICTA undertakes a wide range of activities, from theory building, modeling,s and algorithm development, to the use of machine learning in the solution of  ... 
doi:10.1609/aimag.v33i3.2430 fatcat:27l26osmn5e7biho4xfe4sapm4

Supporting the design and fabrication of physical visualizations

Saiganesh Swaminathan, Conglei Shi, Yvonne Jansen, Pierre Dragicevic, Lora A. Oehlberg, Jean-Daniel Fekete
2014 Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14  
Physical visualizations created with our fabrication tool, MakerVis: a) a layered scatterplot modeled after Rosling ; b) a prism map showing relative happiness in US states computed from Twitter sentiments  ...  ABSTRACT Physical visualizations come in increasingly diverse forms, and are used in domains including art and entertainment, busi ness analytics, and scientific research.  ...  ACKNOWLEDGEMENTS We thank our participants and reviewers for their helpful and useful comments. This work was partially supported by SENG Overseas Research Awards, HKUST.  ... 
doi:10.1145/2556288.2557310 dblp:conf/chi/SwaminathanSJDOF14 fatcat:aa26seg3vbhx5mlungefyrmtny

Annotating Protein Function through Lexical Analysis

Rajesh Nair, Burkhard Rost
2004 The AI Magazine  
machine learning techniques such as neur- Shah, I., and Hunter, L. 1997. Predicting Valencia, A., and Pazos, F. 2002.  ...  SUISEKI (system for information extraction on The development of tools for the extraction interactions) (Blaschke and Valencia 2001; of useful functional information from the ex- Blaschke  ... 
doi:10.1609/aimag.v25i1.1746 dblp:journals/aim/NairR04 fatcat:eoinvyqphjg4zmk2jvyoiukpfa

The Fourth Paradigm – Data-Intensive Scientific Discovery [chapter]

Tony Hey
2012 Communications in Computer and Information Science  
And, of course, we thank Jim Gray, for inspiring us. ACKN OWLE DG M E NTS  ...  We also thank our families and colleagues for their support during the intensive editorial process.  ...  An alternative machine learning approach might start with the epidemiologist constructing a graphical model of the problem space, consulting literature and colleagues to build a graph around the organizing  ... 
doi:10.1007/978-3-642-33299-9_1 fatcat:etue636ubrandga5corvkx3d7u

Text mining resources for the life sciences

Piotr Przybyła, Matthew Shardlow, Sophie Aubin, Robert Bossy, Richard Eckart de Castilho, Stelios Piperidis, John McNaught, Sophia Ananiadou
2016 Database: The Journal of Biological Databases and Curation  
management systems that can be used to rapidly configure and compare domain-and task-specific processes, via access to a wide range of pre-built tools.  ...  the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow  ...  Funding This work is jointly supported by the EC/H2020 project: an Open Mining INfrastructure for TExt and Data (OpenMinTeD) Grant ID: 654021 and the BBSRC project: Enriching Metabolic PATHwaY models with  ... 
doi:10.1093/database/baw145 pmid:27888231 pmcid:PMC5199186 fatcat:nb5eby565jdcrho63yporkcjaa

Release Strategies and the Social Impacts of Language Models [article]

Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, Miles McCain, Alex Newhouse (+3 others)
2019 arXiv   pre-print
It also discusses ongoing partnership-based research and provides recommendations for better coordination and responsible publication in AI.  ...  It discusses staged release, which allows time between model releases to conduct risk and benefit analyses as model sizes increased.  ...  Acknowledgements We thank the following individuals for feedback on earlier versions of this document: Any remaining errors or omissions are the authors' responsibility alone.  ... 
arXiv:1908.09203v2 fatcat:6c2qqp32h5ax7m6xg5conmmqge

An Empirical Study of Bugs in COVID-19 Software Projects

Akond Ashfaque Ur Rahman, Effat Farhana
2021 Journal of Software Engineering Research and Development  
Based on our findings, we advocate for robust statistical model construction through better synergies between data science practitioners and public health experts.  ...  The identified bug categories appear for 7 categories of software projects including (i) projects that use statistical modeling to perform predictions related to COVID19, and (ii) medical equipment software  ...  We also thank Farzana Ahamed Bhuiyan of Tennessee Technological University for her help as an additional rater.  ... 
doi:10.5753/jserd.2021.827 dblp:journals/jserd/RahmanF21 fatcat:txymy5v5zrfgzk3ghbdzkxjici

Enhancing grammatical structures in web-based texts [chapter]

Leonardo Zilio, Rodrigo Wilkens, Cédrick Fairon
2017 CALL in a climate of change: adapting to turbulent global conditions – short papers from EUROCALL 2017  
Acknowledgements We thank the Walloon Region (Projects BEWARE 1510637 and 1610378) for support, and Altissia International for collaboration.  ...  Acknowledgements We would like to thank Dr Zöe Handely for her feedback and the students for their participation.  ...  For example, Volodina, Pilán, and Alfter (2016) focus on a system to automatically classify Swedish learning essays, while Digichaint (Ní Chiaráin & Ní Chasaide, 2016) is an AI system for learning Irish  ... 
doi:10.14705/rpnet.2017.eurocall2017.738 fatcat:oofyj56lfbhqjgnsinoj2rkxui

Systematic Literature Review on Cyber Situational Awareness Visualizations [article]

Liuyue Jiang, Asangi Jayatilaka, Mehwish Nasim, Marthie Grobler, Mansooreh Zahedi, M. Ali Babar
2021 arXiv   pre-print
For instance, the most focus is on operational-level staff and there is a clear lack of visualizations targeting other types of stakeholders such as managers, higher-level decision makers, and non-expert  ...  The dynamics of cyber threats are increasingly complex, making it more challenging than ever for organizations to obtain in-depth insights into their cyber security status.  ...  can be conference on Model Driven Languages and Systems (MODELS 18, 19), used by defence and the government for training decision-makers to combat judge at SRC competition (ICSE  ... 
arXiv:2112.10354v1 fatcat:us6xkwixh5byjmonoyqfrpc7wi

Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference. Riga, 20–23 October 2020 [article]

Sanita Reinsone, Anda Baklāne, Jānis Daugavietis
2020 Zenodo  
conferences/dhn2020 Editors: Sanita Reinsone, Anda Baklāne, Jānis Daugavietis Editorial assistants: Justīne Jaudzema, Ilze Ļaksa-Timinska Cover: Anete Krūmiņa Publisher: Institute of Literature, Folklore and  ...  Acknowledgements We thank the Fritz Thyssen Foundation for their funding for the research project Distant Viewing.  ...  We also thank the library of the Technische Acknowledgements This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 770299 (NewsEye).  ... 
doi:10.5281/zenodo.4107117 fatcat:6ongky6p5rab7gvtawnjmp2ofm

The Tropical Data Hub: A Virtual Research Environment for Tropical Science Knowledge and Discovery

Trina Myers, Jarrod Trevathan, Ian Atkinson
2013 The International Journal of Sustainability Education  
This paper presents the Tropical Data Hub as an e-research infrastructure to congregate significant tropical data sets for cross-domain analyses and knowledge discovery.  ...  for discovery and decision making.  ...  machines to work together interactively [4] .  ... 
doi:10.18848/2325-1212/cgp/v08i01/55304 fatcat:dhsyyucx4jgv5ct3ntr545ey5m

On Computational Ecosystems in Media Arts

Rui Filipe Antunes
2016 Leonardo: Journal of the International Society for the Arts, Sciences and Technology  
A Computational Ecosystem is a system of agents designed to emulate, in the computer, biological systems where autonomous individuals are organized in a hierarchical food chain and interact by trading  ...  By virtue of considering these separately the computational ecosystem is argued to be an abstract generative engine for heterogeneity, spontaneity, and even novelty.  ...  Classifier Systems A second important technique for an agent's learning process are classifier systems.  ... 
doi:10.1162/leon_a_01296 fatcat:pjlgq5nkdzgkdmdtypcqf26eme

A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

Efstathios Iason Vlachavas, Jonas Bohn, Frank Ückert, Sylvia Nürnberg
2021 International Journal of Molecular Sciences  
Using data-driven approaches for the integration and interpretation of multi-omics data could stably identify links between structural and functional information and propose causal molecular networks with  ...  This review will summarize and categorize the most current computational methodologies and tools for integration of distinct molecular layers in the context of translational cancer research and personalized  ...  Acknowledgments: We thank Shraddha Pai for her help with the netDx v. 1.3.1 analysis and Ricard Argelaguet for his contribution in setting and applying the MOFA+ framework.  ... 
doi:10.3390/ijms22062822 pmid:33802234 pmcid:PMC8000236 fatcat:rvwrq77kanh55lp2y3vrp54dqi

Industrial symbiosis as a social process

Wouter Spekkink
2017 Bestuurskunde  
Institutional capacity builds up through interactions between the actors in the regional industrial system.  ...  The model emphasizes the importance of trust building and cooperation.  ... 
doi:10.5553/bk/092733872017026003008 fatcat:zhhue5w5vjcpfpcf74tgqrf3ou
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