Artificial Intelligence &emdash; Results 2014-2015

Marks:

Assignment #1

Name Matricola Grade Notes
Davide Moro 837188 10/10 Good background and evaluation.
Phung Nhu Kien 849312 8/10 Acceptable background and evaluation
Lorenzo Brutti 830823 9/10 Non-linear Perceptron (tanh activation) is not what was asked. Very good analysis.
Maria Damatar 838582 7/10 Limited background, almost no analysis of results.
Gaia Orsini 832985 9/10 Good background, Acceptable evaluation of results.
Roberta Prendin 819575 9/10 Very good background, Acceptable evaluation of results.
Andrea Baesso 834951 8/10 Good background, limited evaluation
Mara Pistellato 839976 9/10 Good background, Acceptable evaluation of results.
Gesesse Achamyeleh Dagnaw 843312 6.5/10 Acceptable background, no evaluation
Dalila Ressi 839745 8.5/10 Limited background, good evaluation (although a plot would be more informative than raw data!)
Gianluca Caiazza 840009 9/10 Good background, Acceptable evaluation of results.
Rocco Salvia 838737 10/10 Good background and evaluation.
Nguyen Minh Phu 849289 6/10 Acceptable background, but upper bound on dual wrong. Very limited analysis.
Alessandro Torcinovich 840284 10/10 Good background and evaluation
Dawda Jatta 854939 8/10 Acceptable background and evaluation
Momodou Njie 854938 5 6.5/10 Revision improved bacground, but evaluation still limited.

Assignment #2

Name Matricola Grade Notes
Davide Moro 837188 9/10 Good background. Basic attempt to analyze differences.
Phung Nhu Kien 849312 9.5/10 Good background. acceptable attempt to analyze differences
Lorenzo Brutti 830823 10/10 Good bacground, evaluation, and analysis
Maria Damatar 838582 6.5/10 Limited background, no analysis
Gaia Orsini 832985 9.5/10 Good background. Interesting attempt to analyze differences, although the results are a bit odd (on this dataset GDA should perform best)
Roberta Prendin 819575 10/10 Very good background, evaluation, and analysis
Mara Pistellato 839976 10/10 Good bacground, evaluation, and analysis
Gesesse Achamyeleh Dagnaw 843312 9/10 Acceptable background, good evaluation
Dalila Ressi 839745 9.5/10 Good background. Good but incomplete analysis.
Gianluca Caiazza 840009 9/10 Good background. Limited evaluation on odd results.
Rocco Salvia 838737 8.5/10 Acceptable background, good evaluation (cross validation?)
Nguyen Minh Phu 849289 7.5/10 Acceptable background. Limited analysis
Alessandro Torcinovich 840284 9/10 Good background. Basic attempt to analyze differences
Dawda Jatta 854939 10/10 Good bacground, evaluation, and analysis
Momodou Njie 854938 8/10 Good background. Limited analysis

Assignment #3

Name Matricola Grade Notes
Davide Moro 837188 9/10 Good Background, acceptable analysis
Phung Nhu Kien 849312 10/10 Good background and analysis
Lorenzo Brutti 830823 10/10 Good background and analysis
Maria Damatar 838582 8.5/10 Good background, limited analysis
Gaia Orsini 832985 10/10 Good background and analysis
Roberta Prendin 819575 10/10 Good background and analysis
Mara Pistellato 839976 9/10 Good Background, acceptable analysis
Gesesse Achamyeleh Dagnaw 843312 9/10 Good Background, acceptable analysis
Dalila Ressi 839745 9/10 Good Background, acceptable analysis
Gianluca Caiazza 840009 10/10 Good background and analysis
Rocco Salvia 838737 8/10 Acceptable background, limited analysis
Nguyen Minh Phu 849289 9/10 Good Background, acceptable analysis
Alessandro Torcinovich 840284 9.5/10 Very good Background, acceptable analysis
Dawda Jatta 854939 10/10 Good background and analysis

Assignment #4

Name Matricola Grade Notes
Phung Nhu Kien 849312 10/10 Good background and analysis
Davide Moro 837188 9.5/10 Good background, acceptable analysis
Lorenzo Brutti 830823 9/10 Acceptable background and analysis
Gesesse Achamyeleh Dagnaw 843312 9.5/10 Good background, acceptable analysis
Nguyen Minh Phu 849289 9.5/10 Good background, acceptable analysis
Alessandro Torcinovich 840284 9.5/10 Good background, acceptable analysis
Gianluca Caiazza 840009 9.5/10 Good background, acceptable analysis
Dawda Jatta 854939 9/10 Acceptable background and analysis
Rocco Salvia 838737 8.5/10 Acceptable background, limited analysis
Mara Pistellato 839976 9/10 Acceptable background and analysis
Roberta Prendin 819575 10/10 Good background and analysis
Gaia Orsini 832985 9/10 Acceptable background and analysis
Dalila Ressi 839745 9/10 Acceptable background and analysis

FINAL MARK

Name Matricola Grade Notes
Phung Nhu Kien 849312 30/30
Davide Moro 837188 30/30
Lorenzo Brutti 830823 30/30
Gesesse Achamyeleh Dagnaw 843312 28/30
Nguyen Minh Phu 849289 26/30
Alessandro Torcinovich 840284 30/30
Gianluca Caiazza 840009 30/30
Dawda Jatta 854939 30/30
Rocco Salvia 838737 29/30
Mara Pistellato 839976 30/30
Roberta Prendin 819575 30/30
Gaia Orsini 832985 30/30
Dalila Ressi 839745 30/30