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AAAI Spring Symposium 2010 - Artificial Intelligence for Development: Stanford University, CA, USA
- Artificial Intelligence for Development, Papers from the 2010 AAAI Spring Symposium, Technical Report SS-10-01, Stanford, California, USA, March 22-24, 2010. AAAI 2010
- Nathan Eagle, Eric Horvitz:
Preface. - Shreya Amin:
A Step Towards Modeling and Destabilizing Human Trafficking Networks Using Machine Learning Methods. - Etienne Barnard, Marelie H. Davel, Gerhard B. Van Huyssteen:
Speech Technology for Information Access: a South African Case Study. - Tibebe Beshah Tesema, Shawndra Hill:
Mining Road Traffic Accident Data to Improve Safety: Role of Road-Related Factors on Accident Severity in Ethiopia. - Jay Chen, Trishank Karthik Kuppusamy, Lakshminarayanan Subramanian:
Contextual Information Portals. - Tiffany Chen, Katherine Kuan, Leo A. Celi, Gari D. Clifford:
Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit. - Samhaa R. El-Beltagy, Ahmed A. Rafea, Said Mabrouk, Mahmoud Rafea:
An Approach for Mining Accumulated Crop Cultivation Problems and their Solutions. - Vanessa Frías-Martínez, Enrique Frías-Martínez, Nuria Oliver:
A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records. - Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov:
Development Projects for the CausalityWorkbench. - Shawndra Hill, Anita Banser, Getachew Berhan, Nathan Eagle:
Reality Mining Africa. - Ashish Kapoor, Nathan Eagle, Eric Horvitz:
People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population. - Massoud Moussavi, Noel McGinn:
A Model for Quality of Schooling. - Ernest Mwebaze, Washington Okori, John Alexander Quinn:
Causal Structure Learning for Famine Prediction. - Russell Power, Jay Chen, Trishank Karthik Kuppusamy, Lakshminarayanan Subramanian:
Document Classification for Focused Topics. - John Alexander Quinn, Rose Nakibuule:
Traffic Flow Monitoring in Crowded Cities. - Alberto Rubio, Vanessa Frías-Martínez, Enrique Frías-Martínez, Nuria Oliver:
Human Mobility in Advanced and Developing Economies: A Comparative Analysis. - Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian:
Case for Automated Detection of Diabetic Retinopathy. - Jameson L. Toole, Nathan Eagle, Joshua B. Plotkin:
Quantifying Behavioral Data Sets of Criminal Activity. - Julie Sage Weber, Kentaro Toyama:
Remembering the Past for Meaningful AI-D. - Amy Wesolowski, Nathan Eagle:
Parameterizing the Dynamics of Slums. - Mariye Yigzaw, Shawndra Hill, Anita Banser, Lemma F. Lessa:
Using Data Mining to Combat Infrastructure Inefficiencies: The Case of Predicting Nonpayment for Ethiopian Telecom. - Joshua Evan Blumenstock, Dan Gillick, Nathan Eagle:
Who's Calling? Demographics of Mobile Phone Use in Rwanda. - Emma Brunskill, Neal Lesh:
Routing for Rural Health: Optimizing Community Health Worker Visit Schedules. - Kuang Chen, Emma Brunskill, Jonathan J. Dick, Prabhjot Dhadialla:
Learning to Identify Locally Actionable Health Anomalies. - Prabal Dutta, Lakshminarayanan Subramanian:
Human-Enabled Microscopic Environmental Mobile Sensing and Feedback. - Robert G. Farrell, Rajarshi Das, Nitendra Rajput:
Social Navigation through the Spoken Web: Improving Audio Access through Collaborative Filtering in Gujarat, India. - Sean T. Green, Abraham D. Flaxman:
Machine Learning Methods for Verbal Autopsy in Developing Countries. - César A. Hidalgo, Ricardo Hausmann:
Inferring Macroeconomic Complexity from Country-Product Network Data. - Tapan S. Parikh:
Voice as Data: Learning from What People Say. - Joel Robertson, Del DeHart:
An Agile and Accessible Adaptation of Bayesian Inference to Medical Diagnostics for Rural Health Extension Workers.
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