Year Sort ascending Title Author Other URL Links Keywords
2017 User Preferences for Hybrid Explanations Pigi Kouki, James Schaffer, Jay Pujara, John ODonovan, Lise Getoor 11th ACM Conference on Recommender Systems (RecSys) PDF
2017 User Preferences for Hybrid Explanations Pigi Kouki, James Schaffer, Jay Pujara, John ODonovan, Lise Getoor 11th ACM Conference on Recommender Systems (RecSys) PDF
2017 User Preferences for Hybrid Explanations Pigi Kouki, James Schaffer, Jay Pujara, John ODonovan, Lise Getoor 11th ACM Conference on Recommender Systems (RecSys) PDF
2017 User Preferences for Hybrid Explanations Pigi Kouki, James Schaffer, Jay Pujara, John ODonovan, Lise Getoor 11th ACM Conference on Recommender Systems (RecSys) PDF
2017 User Preferences for Hybrid Explanations Pigi Kouki, James Schaffer, Jay Pujara, John ODonovan, Lise Getoor 11th ACM Conference on Recommender Systems (RecSys) PDF
2017 Using Noisy Extractions to Discover Causal Knowledge Dhanya Sridhar, Jay Pujara, Lise Getoor NIPS Workshop on Automated Knowledge Base Construction
2017 Using Noisy Extractions to Discover Causal Knowledge Dhanya Sridhar, Jay Pujara, Lise Getoor NIPS Workshop on Automated Knowledge Base Construction
2017 Using Noisy Extractions to Discover Causal Knowledge Dhanya Sridhar, Jay Pujara, Lise Getoor NIPS Workshop on Automated Knowledge Base Construction
2016 Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor 12th International SIGKDD Workshop on Mining and Learning with Graphs (MLG) PDF
2016 Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor 12th International SIGKDD Workshop on Mining and Learning with Graphs (MLG) PDF
2016 Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor 12th International SIGKDD Workshop on Mining and Learning with Graphs (MLG) PDF
2016 Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor 12th International SIGKDD Workshop on Mining and Learning with Graphs (MLG) PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Capturing Planned Protests from Open Source Indicators Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan AI Magazine PDF
2016 Entity Resolution in Familial Networks Pigi Kouki, Christopher Marcum, Laura Koehly, Lise Getoor 12th International Workshop on Mining and Learning with Graphs PDF
2016 Entity Resolution in Familial Networks Pigi Kouki, Christopher Marcum, Laura Koehly, Lise Getoor 12th International Workshop on Mining and Learning with Graphs PDF
2016 Entity Resolution in Familial Networks Pigi Kouki, Christopher Marcum, Laura Koehly, Lise Getoor 12th International Workshop on Mining and Learning with Graphs PDF
2016 Entity Resolution in Familial Networks Pigi Kouki, Christopher Marcum, Laura Koehly, Lise Getoor 12th International Workshop on Mining and Learning with Graphs PDF
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal
2016 Forecasting Rare Disease Outbreaks from Open Source Indicators Theodoros Rekatsinas, Saurav Ghosh, Sumiko Mekaru, Elaine Nsoesie, John Brownstein, Lise Getoor, Naren Ramakrishnan Statistical Analysis and Data Mining: The ASA Data Science Journal