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.
• Y. 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].
• Margot Mafra-Neto, Yanping Chen, Gustavo Batista, Eamonn Keogh (2014) Insect Identification Using Laser and Wing Beat Frequency. 2014 ESA Annual Meeting
• Yuan 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 Gates Foundation 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.