2008

D. Sculley.
On Free Speech and Civil Discourse: Filtering Abuse in Blog Comments.
To appear in CEAS 2008: Proceedings of the Fifth Conference on Email and Anti-Spam. August, 2008.
D. Sculley and Gordon V. Cormack.
Filtering Email Spam in the Presence of Noisy User Feedback.
To appear in CEAS 2008: Proceedings of the Fifth Conference on Email and Anti-Spam. August, 2008.
D. Sculley and Bradley M. Pasanek.
Meaning and Mining: the Impact of Implicit Assumptions in Data Mining for the Humanities.
To appear in Literary and Linguistic Computing. 2008.
Bradley M. Pasanek and D. Sculley.
Mining Millions of Metaphors.
To appear in Literary and Linguistic Computing. 2008.
Xintao Wei, Lenore Cowen, Carla Brodley, Arthur Brady, D. Sculley, and Donna Slonim.
A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes
In ISBRA 2008: International Symposium on Bioinformatics Research and Applications. May, 2008.


2007

D. Sculley and Gabriel M. Wachman.
Relaxed Online SVMs in the TREC Spam Filtering Track.
In TREC 2007: The Sixteenth Text REtrieval Conference Proceedings. November, 2007.
D. Sculley.
Practical Learning from One Sided Feedback.
In KDD 2007: Proceedings of the 13th ACM SIGKDD International Conference on Data Mining and Knowledge Discovery. August, 2007.
D. Sculley.
Online Active Learning Methods for Fast Label-Efficient Spam Filtering.
In CEAS 2007: Proceedings of the Fourth Conference on Email and Anti-Spam. August, 2007.
D. Sculley and Gabriel M. Wachman.
Relaxed Online Support Vector Machines for Spam Filtering.
In SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference. August, 2007.
Winner of Best Student Paper Award, SIGIR 2007. (Errata.)
D. Sculley.
Rank Aggregation for Similar Items.
In Proceedings of 2007 SIAM International Conference on Data Mining. April, 2007.
Technical Report version.
TR-2007-1, Tufts University, Medford MA, USA. January, 2007.


2006

D. Sculley, Gabriel M. Wachman and Carla E. Brodley.
Spam Classification with On-Line Linear Classifiers and Inexact String Matching Features.
In TREC 2006: The Fifteenth Text REtrieval Conference Proceedings. November, 2006.
D. Sculley and Carla E. Brodley.
Compression and Machine Learning: A New Perspective on Feature Space Vectors.

In DCC 2006: Data Compression Conference 2006 Proceedings. March, 2006.
Gregory Crane, David Bamman, Lisa Cerrato, Alsion Jones, David M. Mimno, Adrian Packel, D. Sculley, and Gabriel Weaver.
Beyond Digital Incunabula: Modeling the Next Generation of Digital Libraries.
In ECDL 2006: Tenth European Conference on Digital Libraries. 2006.