On the Complexity of Protein Folding - Crescenzi, Goldman, Papadimitriou, ..(Correct)(36 citations)
Deborah Goldman, Christos Papadimitriou Antonio Piccolboni, Mihalis Yannakakis Abstract We show that the
P. Crescenzi, D. Goldman, C. Papadimitriou, A. Piccolboni, M. Yannakakis, On the Complexity of Protein
Deborah Goldman, Christos Papadimitriou, Antonio Piccolboni, Mihalis Yannakakis www.cs.dartmouth.edu/~brd/Teaching/Bio/Readings/papa.ps
A Framework for Improving Protein Structure Predictions by.. - Palopoli, Terracina(Correct)
Hart, Smith &Pelta 1999, Olszewski &Yan 2000, Piccolboni &Mauri 1997, Rost 1998, Rost &Sander 1993,
contacts) or evolutionary information (Piccolboni &Mauri 1997)Copyright c 2003, Australian
Krasnogor et al. 1999, Olszewski &Yan 2000, Piccolboni &Mauri 1997, Rost 1998, Rost &Sander 1993, crpit.com/confpapers/CRPITV19Palopoli.pdf
Adaptive AIMD Congestion Control - Kesselman, Mansour (2003)(Correct)
regarding the trac generation process. Piccolboni and Schindelhauer [20] investigate the problem
Control for TCP Vegas,Manuscript. 20] A. Piccolboni and C. Schindelhauer, Discrete Prediction antares.math.tau.ac.il/~alx/papers/aimd.ps
Adaptive TCP Flow Control - Kesselman, Mansour (2002)(Correct)
fairness between competing connections. Piccolboni and Schindelhauer [16] investigate the problem
In Proceedings Of Acm Sigcomm, 1998. 16] A. Piccolboni And C. Schindelhauer, discrete Prediction www.math.tau.ac.il/~mansour/papers/02flow.ps
A Hybrid Symbolic Subsymbolic Controller for Complex.. - Apolloni, Piccolboni..(Correct)
for complex dynamical systems B. Apolloni, A. Piccolboni, E. Sozio Dipartimento di Scienze dell'
pp. 52-59, 1990. 6] B. Apolloni, A. Piccolboni, E. Sozio, A hybrid symbolic subsymbolic
for Complex Dynamical Systems B. Apolloni, A. Piccolboni, E. Sozio laren.usr.dsi.unimi.it/en/../articles/Neromrac.ps.gz
Processing of instrumentation tracks via Recurrent Neural.. - Apolloni, Piccolboni(Correct)
via Recurrent Neural Networks B. Apolloni &A. Piccolboni Dipartimento di Scienze dell'Informazione,
ftp.dsi.unimi.it/DSI/piccolbo/piccolboni.instrumentation.ps.gz
via Recurrent Neural Networks B. Apolloni, A. Piccolboni ftp.dsi.unimi.it/DSI/piccolbo/piccolboni.instrumentation.ps.gz