Items where Division is "Dietrich School of Arts and Sciences > Computer Science" and Year is 2014
Number of items: 12. ArticleCui, X and Mills, B and Znati, T and Melhem, R (2014) Shadow replication: An energy-aware, fault-tolerant computational model for green cloud computing. Energies, 7 (8). 5151 - 5176. Falakmasir, MH and Ashley, KD and Schunn, CD and Litman, DJ (2014) Identifying thesis and conclusion statements in student essays to scaffold peer review. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8474 L. 254 - 259. ISSN 0302-9743 Luciani, T and Wenskovitch, J and Chen, K and Koes, D and Travers, T and Elisabeta Marai, G (2014) FixingTIM: Interactive exploration of sequence and structural data to identify functional mutations in protein families. BMC Proceedings, 8. University of Pittsburgh ETDBao, Di (2014) SNeT: computer-assisted SuperNovae Tracking. Master's Thesis, University of Pittsburgh. (Unpublished) Dimitriadis, Sokratis (2014) Synchronization-Point Driven Resource Management in Chip Multiprocessors. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Gheorghiu, Roxana (2014) Unifying Qualitative and Quantitative Database Preferences to Enhance Query Personalization. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Haque, Md. Abedul (2014) A Dynamic-Image Computational Approach for Modeling the Spine. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Mills, Bryan (2014) Power-Aware Resilience for Exascale Computing. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Moore, Ryan (2014) Predicting Application Performance for Chip Multiprocessors. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Nguyen, Quang (2014) Efficient Learning with Soft Label Information and Multiple Annotators. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Wang, Yingze (2014) LEARNING WITH SPARSITY FOR DETECTING INFLUENTIAL NODES IN IMPLICIT INFORMATION DIFFUSION NETWORKS. Doctoral Dissertation, University of Pittsburgh. (Unpublished) Conference or Workshop ItemNguyen, Huy V and Litman, Diane J (2014) Improving Peer Feedback Prediction: The Sentence Level is Right. In: The 9th Workshop on Innovative Use of NLP for Building Educational Applications, 26 June 2014 - 26 June 2014, Baltimore, Maryland, USA. |