Our Publications on Computational Entomology
Papers written after winning a Bill and Melinda
Gates Foundation grant in 2010, and our explicit decision to bootstrap the idea
of computational entomology include:
- Yanping Chen, Adena Why, Gustavo Batista, Agenor Mafra-Neto, Eamonn Keogh. Flying Insect Classification with Inexpensive Sensors. Journal of Insect Behaviour 2014. [pdf] [project page].
- Yanping Chen , Adena Why, Gustavo Batista, Agenor Mafra-Neto, Eamonn Keogh. Flying Insect Detection and Classification with Inexpensive Sensors. Journal of Visualized Experiments 2014.
- Gustavo Batista, Eamonn Keogh and Agenor Mafra Neto (2011) Sensors and Software to allow Computational Entomology, an Emerging Application of Data Mining. SIGKDD 2011 Demo Paper.
Rheem, K. Spencer, L. Silva, D. Zeni, C. Bernardi, L. Stoltman, R. O.
D. Silva, R. Borges, L. E. J. Mafra, E. Keogh, A. Mafra-Neto (2011). Rapid data collection technologies: Zumba Mosquito TrapTM and hand-held nanosensory. ISID-NTD International Meeting on Neglected Tropical Diseases. Boston, Massachusetts, USA, July 8-10, 2011.
- Gustavo Batista, Eamonn Keogh and Agenor Mafra Neto (2011). Counting and classifying mosquitoes from a distance with ultra cheap sensors. American Mosquito Control Association 77th conference.
- Gustavo Batista, Bilson Campana, Eamonn Keogh: Classification of Live Moths Combining Texture, Color and Shape Primitives. ICMLA 2010: 903-906
- Yuan Hao, Bilson Campana, Eamonn Keogh. Monitoring and Mining Insect Sounds in Visual Space. SDM 2012 [pdf].
Mafra-Neto, Yanping Chen, Gustavo Batista, Eamonn Keogh (2014) Insect
Identification Using Laser and Wing Beat Frequency. 2014 ESA Annual
Hao, Bilson Campana and Eamonn Keogh (2012). Monitoring and Mining Animal
Sounds in Visual Space. Journal of Insect Behavior.
- Diego Furtado Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis: Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps. ICMLA (1) 2013: 99-104
Papers that were written before 2010, but also address
problems in computational entomology include:
- Lexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto:
Autocannibalistic and Anyspace Indexing Algorithms with Application to
Sensor Data Mining. SDM 2009: 85-96.
- Shashwati Kasetty, Candice Stafford, Gregory P. Walker, Xiaoyue Wang,
Eamonn J. Keogh: Real-Time Classification of Streaming Sensor Data. ICTAI
(1) 2008: 149-156
- Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh: iSAX
2.0: Indexing and Mining One Billion Time Series. ICDM 2010: 58-67
We have many papers that address problems in Computional Entomology, but we published in more general confernces.
- Yanping Chen ,Yuan Hao, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn Keogh. Towards Never-Ending Learning from Time Series Streams. SIGKDD 2013. [pdf] (See section 4.2 for the insect examples)
- Yanping Chen, Bing Hu, Eamonn Keogh and Gustavo Batista. DTW-D: time series semi-supervised Learning from a Single Example. SIGKDD 2013. [pdf] (See section 6.1 for the insect examples)
Acknowledgments: Most of our research was funded by a Bill & Melinda
Grand Challenge Award and a Vodafone Award, for which we are very grateful.
We also acknowledge all those that have donated data, ideas, insects and
equipment to the project.