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AAAI Workshop: Computational Sustainability 2015: Austin, Texas, USA
- Bistra Dilkina, Stefano Ermon, Rebecca A. Hutchinson, Daniel Sheldon:
Computational Sustainability, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. AAAI Technical Report WS-15-06, AAAI Press 2015, ISBN 978-1-57735-717-9 - Yoshiaki Bando, Takuma Otsuka, Ikkyu Aihara, Hiromitsu Awano, Katsutoshi Itoyama, Kazuyoshi Yoshii, Hiroshi Gitchang Okuno:
Recognition of In-Field Frog Chorusing Using Bayesian Nonparametric Microphone Array Processing. - Juan M. Barrios, Raúl Sierra-Alcocer, Constantino González-Salazar, Franz E. Mora, Mariana Munguía, Octavio M. Pérez-Maqueo, Isabel Trejo:
Modeling Ecological Integrity with Bayesian Belief Networks. - Thomas Capelle, Peter F. Sturm, Arthur Vidard, Brian J. Morton:
Formulating LUTI Calibration as an Optimisation Problem: Estimation of Tranus Shadow Price and Substitution Parameters. - Charalampos Chelmis, Saima Aman, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna:
Estimating Reduced Consumption for Dynamic Demand Response. - Rundong Du, Zhongming Lu, Arka Pandit, Da Kuang, John Crittenden, Haesun Park:
Toward Social Media Opinion Mining for Sustainability Research. - Kirstin Early, J. Zico Kolter:
An Additive Autoregressive Hidden Markov Model for Energy Disaggregation. - Abbas Ehsanfar, Babak Heydari:
Interactive Multi-Consumer Power Cooperatives with Learning and Axiomatic Cost and Risk Disaggregation. - Murat A. Erdogdu, Nadia Fawaz, Andrea Montanari:
Privacy-Utility Trade-Off for Time-Series with Application to Smart-Meter Data. - Jiarui Gan, Bo An:
Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems. - Ian Gemp, Sridhar Mahadevan, Bo Liu:
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. - Ashok K. Goel:
Biologically Inspired Design: A New Paradigm for AI Research on Computational Sustainability? - Justin Heinermann, Oliver Kramer:
On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. - Nahid Jafari, Clinton T. Moore, Jeffrey Hepinstall-Cymerman:
A Solution Alternative to Achieve Parcel Connectivity in the Dynamic Reserve Design Problem. - Nitin Jain, Bistra Dilkina:
Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains. - Xiaoyue Jiang, Ramgopal Mettu
, Kristen Brent Venable, Geoffrey G. Parker:
Flexibility Meets Variability: A Multiagent Constraint Based Approach for Incorporating Renewables into the Power Grid. - Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen:
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. - Sicong Liu, Yash Garg, K. Selçuk Candan, Maria Luisa Sapino, Gerardo Chowell-Puente:
NOTES2: Networks-of-Traces for Epidemic Spread Simulations. - Obaid Malik, Siddhartha Ghosh, Alex Rogers:
A Noise Scaled Semi Parametric Gaussian Process Model for Real Time Water Network Leak Detection in the Presence of Heteroscedasticity. - Travis Moore, Weng-Keen Wong:
Discovering Hotspots and Coldspots of Species Richness in eBird Data. - Emmanuel Prados, Patrick Criqui, Constantin Ilasca:
A Benchmarking Tool for the International Climate Negotiations. - Siamak Safarzadegan Gilan, Bistra Dilkina:
Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization. - Raúl Sierra-Alcocer, Enrique-Daniel Zenteno-Jimenez, Juan M. Barrios:
Automatic Land Use and Land Cover Classification Using RapidEye Imagery in Mexico. - Divya Singhvi, Somya Singhvi, Peter I. Frazier, Shane G. Henderson, Eoin O'Mahony, David B. Shmoys
Predicting Bike Usage for New York City's Bike Sharing System. - Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe:
Agents Vote for the Environment: Designing Energy-Efficient Architecture. - Tri Kurniawan Wijaya, Mathieu Sinn, Bei Chen:
Forecasting Uncertainty in Electricity Demand. - Yexiang Xue, Stefano Ermon, Carla P. Gomes, Bart Selman:
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem.
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