Mark Hobbs
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
3
Active years
2020–2024
Best venue rank
B
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICAART | Predicting Major Donor Prospects Using Machine Learning. | Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs |
| 2024 | ICAART | Deep and Shallow Machine Learning for Predicting Major Donors. | Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs |
| 2023 | ICAART | Adding Time and Subject Line Features to the Donor Journey. | Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs |
| 2023 | ICAART | Effects of Feature Types on Donor Journey. | Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs |
| 2020 | AI | Machine Learning the Donor Journey. | Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs |
| 2020 | ICMLA | Improving the Donor Journey with Convolutional and Recurrent Neural Networks. | Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs |