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Items: 9

1.

Texture analysis and multiple-instance learning for the classification of malignant lymphomas.

Lippi M, Gianotti S, Fama A, Casali M, Barbolini E, Ferrari A, Fioroni F, Iori M, Luminari S, Menga M, Merli F, Trojani V, Versari A, Zanelli M, Bertolini M.

Comput Methods Programs Biomed. 2020 Mar;185:105153. doi: 10.1016/j.cmpb.2019.105153. Epub 2019 Oct 23.

PMID:
31678792
2.

Evaluating Origin-Destination Matrices Obtained from CDR Data.

Mamei M, Bicocchi N, Lippi M, Mariani S, Zambonelli F.

Sensors (Basel). 2019 Oct 15;19(20). pii: E4470. doi: 10.3390/s19204470.

3.

Natural Language Statistical Features of LSTM-Generated Texts.

Lippi M, Montemurro MA, Degli Esposti M, Cristadoro G.

IEEE Trans Neural Netw Learn Syst. 2019 Nov;30(11):3326-3337. doi: 10.1109/TNNLS.2019.2890970. Epub 2019 Apr 3.

PMID:
30951479
4.

Markov logic networks for optical chemical structure recognition.

Frasconi P, Gabbrielli F, Lippi M, Marinai S.

J Chem Inf Model. 2014 Aug 25;54(8):2380-90. doi: 10.1021/ci5002197. Epub 2014 Aug 6.

PMID:
25068386
5.

Predicting metal-binding sites from protein sequence.

Passerini A, Lippi M, Frasconi P.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Jan-Feb;9(1):203-13. doi: 10.1109/TCBB.2011.94. Epub 2011 May 16.

PMID:
21606549
6.

MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.

Passerini A, Lippi M, Frasconi P.

Nucleic Acids Res. 2011 Jul;39(Web Server issue):W288-92. doi: 10.1093/nar/gkr365. Epub 2011 May 16.

7.

Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy.

Shi W, Punta M, Bohon J, Sauder JM, D'Mello R, Sullivan M, Toomey J, Abel D, Lippi M, Passerini A, Frasconi P, Burley SK, Rost B, Chance MR.

Genome Res. 2011 Jun;21(6):898-907. doi: 10.1101/gr.115097.110. Epub 2011 Apr 11.

8.

Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights.

Lippi M, Frasconi P.

Bioinformatics. 2009 Sep 15;25(18):2326-33. doi: 10.1093/bioinformatics/btp421. Epub 2009 Jul 9.

PMID:
19592394
9.

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.

Lippi M, Passerini A, Punta M, Rost B, Frasconi P.

Bioinformatics. 2008 Sep 15;24(18):2094-5. doi: 10.1093/bioinformatics/btn371. Epub 2008 Jul 16.

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