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Created page with "'''Home * People * Diogo R. Ferreira''' FILE:DiogoRFerreira.jpg|border|right|thumb|link=http://web.ist.utl.pt/diogo.ferreira/| Diogo R. Ferreira <ref>[ht..."
'''[[Main Page|Home]] * [[People]] * Diogo R. Ferreira'''
[[FILE:DiogoRFerreira.jpg|border|right|thumb|link=http://web.ist.utl.pt/diogo.ferreira/| Diogo R. Ferreira <ref>[http://web.ist.utl.pt/diogo.ferreira/ Diogo R. Ferreira | IST - Technical University of Lisbon]</ref> ]]
'''Diogo R. Ferreira''',<br/>
a Portuguese computer scientist and professor of [https://en.wikipedia.org/wiki/Information_systems Information systems] at [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico Instituto Superior Técnico], [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon].
His research interests include [https://en.wikipedia.org/wiki/Data_science data science], [[Deep Learning|deep learning]], [[GPU]] computing, [https://en.wikipedia.org/wiki/Data_mining data mining] and [https://en.wikipedia.org/wiki/Process_mining process mining] applied to [https://en.wikipedia.org/wiki/Nuclear_fusion nuclear fusion], [https://en.wikipedia.org/wiki/Plasma_(physics) plasma] [https://en.wikipedia.org/wiki/Tomography tomography], and [https://en.wikipedia.org/wiki/Disruption disruption] [https://en.wikipedia.org/wiki/Prediction prediction] <ref>[http://web.ist.utl.pt/diogo.ferreira/#research Diogo R. Ferreira | IST - Technical University of Lisbon | Research Areas]</ref>.
=Chess Ratings=
In 2010, Diogo R. Ferreira participated on a chess ratings competition <ref>[http://www.kaggle.com/c/chess Chess ratings - Elo versus the Rest of the World - Kaggle]</ref> and made it to 4th place <ref>[http://blog.kaggle.com/2010/11/30/how-i-did-it-diogo-ferreira-on-4th-place-in-elo-chess-ratings-competition/ How I did it: Diogo Ferreira on 4th place in Elo chess ratings competition | no free hunch]</ref> . His approach is based on the [https://en.wikipedia.org/wiki/Pairwise_comparison Bradley-Terry model], but with a slightly different interpretation of what the [[Playing Strength|strength]] of a player is, and with a custom procedure for estimating that strength <ref>[[Diogo R. Ferreira]] ('''2010'''). ''[http://web.ist.utl.pt/diogo.ferreira/chess/ Predicting the Outcome of Chess Games based on Historical Data]''. [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico IST] - [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon]</ref> . In his [[ICGA Journal]] paper, ''Determining the Strength of Chess Players based on actual Play'' <ref>[[Diogo R. Ferreira]] ('''2012'''). ''Determining the Strength of Chess Players based on actual Play''. [[ICGA Journal#35_1|ICGA Journal, Vol. 35, No. 1]]</ref> , Ferreira elaborates on strength estimation based on a per move basis with the help of a strong chess program and distribution of gain. A gain was defined by the [[Score|score]] difference of [[Houdini|Houdini's 1.5]] fixed depth 20 ply search of all consecutive positions along the game-record, alternating assigned to the player who made the move. Four algorithms for different purposes were defined:
# Determine the relative strength between two players i and j.
# Determine the relative strength of each player i, in terms of a perceived Elo rating r'i for a set of players in a tournament, where the actual Elo ratings ri are known.
# Determine the engine strength based on the rating differences between the engine and a set of players whose Elo ratings and/or perceived ratings are known.
# Determine the strength of a player after a number of moves, based on the rating difference between player and engine, when an estimate of engine strength is available.
Ratings of various chess players and programs were estimated based on the distribution of gains from various games, [https://en.wikipedia.org/wiki/The_Game_of_the_Century_%28chess%29 The Game of the Century] between [https://en.wikipedia.org/wiki/Donald_Byrne Donald Byrne] and the 13 year old [https://en.wikipedia.org/wiki/Bobby_Fischer Bobby Fischer] was given as sample for algorithm 1 with game score differences, yielding in a rating difference of 113 points in favor to Fischer. The [https://en.wikipedia.org/wiki/London_Chess_Classic#2011_Classic:_3-12_December London Chess Classic 2011] <ref>[http://www.chess.co.uk/twic/chessnews/events/london-chess-classic-2011 London Chess Classic 2011] | [https://en.wikipedia.org/wiki/The_Week_in_Chess The Week in Chess]</ref> <ref>[http://www.chessbase.com/newsdetail.asp?newsid=7754 London R9: Vlad All Over], [[ChessBase|ChessBase News]], December 13, 2011</ref> was used as sample for algorithm 2 and 3, while algorithm 4 was applied for [[Kasparov versus Deep Blue 1997]], which, despite [https://en.wikipedia.org/wiki/Garry_Kasparov Garry Kasparov] lost the match, did result in a higher rating for him - 2754 versus 2741 for [[Deep Blue]].
=Selected Publications=
<ref>[http://web.ist.utl.pt/diogo.ferreira/#publications Diogo R. Ferreira | IST - Technical University of Lisbon | Publications]</ref>
<ref>[https://dblp.uni-trier.de/pers/hd/f/Ferreira:Diogo_R= dblp: Diogo R. Ferreira]</ref> <ref>[https://scholar.google.com/citations?user=CSEqKy8AAAAJ&hl=en Diogo R. Ferreira - Google Scholar Citations]</ref>
==2000 ...==
* [[Diogo R. Ferreira]] ('''2004'''). ''Workflow Management Systems Supporting the Engineering of Business Networks''. Ph.D. Thesis
* [[Diogo R. Ferreira]], [https://dblp.uni-trier.de/pers/hd/g/Gillblad:Daniel Daniel Gillblad] ('''2009'''). ''[https://github.com/diogoff/unlabelled-event-logs Discovering Process Models from Unlabelled Event Logs]''. [https://dblp.uni-trier.de/db/conf/bpm/bpm2009.html BPM 2009]
==2010 ...==
* [http://www.ii.uib.no/~michal/ Michal Walicki], [[Diogo R. Ferreira]] ('''2010'''). ''Mining Sequences for Patterns with Non-Repeating Symbols''. IEEE Congress on Evolutionary Computation
* [[Diogo R. Ferreira]] ('''2010'''). ''[http://web.ist.utl.pt/diogo.ferreira/chess/ Predicting the Outcome of Chess Games based on Historical Data]''. [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico IST] - [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon]
* [http://www.ii.uib.no/~michal/ Michal Walicki], [[Diogo R. Ferreira]] ('''2011'''). ''[https://github.com/diogoff/sequence-partitioning Sequence partitioning for process mining with unlabeled event logs]''. [https://www.journals.elsevier.com/data-and-knowledge-engineering Data & Knowledge Engineering], Vol. 70, No. 10
* [[Diogo R. Ferreira]] ('''2012'''). ''[https://ercim-news.ercim.eu/en89/special/performance-analysis-of-healthcare-processes-through-process-mining Performance Analysis of Healthcare Processes through Process Mining]''. [https://dblp.uni-trier.de/db/journals/ercim/ercim2012.html RCIM News 2012]
* [[Diogo R. Ferreira]] ('''2012'''). ''Determining the Strength of Chess Players based on actual Play''. [[ICGA Journal#35_1|ICGA Journal, Vol. 35, No. 1]] » [[Match Statistics]], [[Houdini]]
* [[Diogo R. Ferreira]] ('''2013'''). ''The Impact of the Search Depth on Chess Playing Strength''. [[ICGA Journal#36_2|ICGA Journal, Vol. 36, No. 2]] » [[Depth]], [[Depth#DiminishingReturns|Diminishing Returns]], [[Match Statistics]], [[Houdini]]
* [[Diogo R. Ferreira]], [https://dblp.uni-trier.de/pers/hd/s/Santos:Rui_M= Rui M. Santos] ('''2016'''). ''[https://github.com/diogoff/transition-counting-gpu Parallelization of Transition Counting for Process Mining on Multi-core CPUs and GPUs]''. [https://dblp.uni-trier.de/db/conf/bpm/bpmw2016.html BPM 2016]
* [https://www.researchgate.net/profile/Francisco_Matos3 Francisco A. Matos], [[Diogo R. Ferreira]], [https://www.researchgate.net/profile/P_Carvalho2 Pedro J. Carvalho], [https://en.wikipedia.org/wiki/Joint_European_Torus JET] Contributors ('''2017'''). ''Deep learning for plasma tomography using the bolometer system at JET''. [https://arxiv.org/abs/1701.00322 arXiv:1701.00322]
* [[Diogo R. Ferreira]], [https://www.researchgate.net/profile/P_Carvalho2 Pedro J. Carvalho], [https://scholar.google.be/citations?user=fkoOZ80AAAAJ&hl=en Horácio Fernandes], [https://en.wikipedia.org/wiki/Joint_European_Torus JET] Contributors ('''2018'''). ''Full-pulse Tomographic Reconstruction with Deep Neural Networks''. [https://arxiv.org/abs/1802.02242 arXiv:1802.02242]
=External Links=
* [http://web.ist.utl.pt/diogo.ferreira/ Diogo R. Ferreira | IST - Technical University of Lisbon]
* [https://github.com/diogoff diogoff (Diogo R. Ferreira) · GitHub]
* [http://blog.kaggle.com/2010/11/30/how-i-did-it-diogo-ferreira-on-4th-place-in-elo-chess-ratings-competition/ How I did it: Diogo Ferreira on 4th place in Elo chess ratings competition | no free hunch]
* [https://machinelearningmastery.com/discover-the-methodology-and-mindset-of-a-kaggle-master-an-interview-with-diogo-ferreira/ Inteview: Discover the Methodology and Mindset of a Kaggle Master], Interview with Diogo R. Ferreira by [https://machinelearningmastery.com/about/ Jason Brownlee], October 3, 2014
=References=
<references />
'''[[People|Up one level]]'''
[[Category:Researcher|Ferreira]]
[[FILE:DiogoRFerreira.jpg|border|right|thumb|link=http://web.ist.utl.pt/diogo.ferreira/| Diogo R. Ferreira <ref>[http://web.ist.utl.pt/diogo.ferreira/ Diogo R. Ferreira | IST - Technical University of Lisbon]</ref> ]]
'''Diogo R. Ferreira''',<br/>
a Portuguese computer scientist and professor of [https://en.wikipedia.org/wiki/Information_systems Information systems] at [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico Instituto Superior Técnico], [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon].
His research interests include [https://en.wikipedia.org/wiki/Data_science data science], [[Deep Learning|deep learning]], [[GPU]] computing, [https://en.wikipedia.org/wiki/Data_mining data mining] and [https://en.wikipedia.org/wiki/Process_mining process mining] applied to [https://en.wikipedia.org/wiki/Nuclear_fusion nuclear fusion], [https://en.wikipedia.org/wiki/Plasma_(physics) plasma] [https://en.wikipedia.org/wiki/Tomography tomography], and [https://en.wikipedia.org/wiki/Disruption disruption] [https://en.wikipedia.org/wiki/Prediction prediction] <ref>[http://web.ist.utl.pt/diogo.ferreira/#research Diogo R. Ferreira | IST - Technical University of Lisbon | Research Areas]</ref>.
=Chess Ratings=
In 2010, Diogo R. Ferreira participated on a chess ratings competition <ref>[http://www.kaggle.com/c/chess Chess ratings - Elo versus the Rest of the World - Kaggle]</ref> and made it to 4th place <ref>[http://blog.kaggle.com/2010/11/30/how-i-did-it-diogo-ferreira-on-4th-place-in-elo-chess-ratings-competition/ How I did it: Diogo Ferreira on 4th place in Elo chess ratings competition | no free hunch]</ref> . His approach is based on the [https://en.wikipedia.org/wiki/Pairwise_comparison Bradley-Terry model], but with a slightly different interpretation of what the [[Playing Strength|strength]] of a player is, and with a custom procedure for estimating that strength <ref>[[Diogo R. Ferreira]] ('''2010'''). ''[http://web.ist.utl.pt/diogo.ferreira/chess/ Predicting the Outcome of Chess Games based on Historical Data]''. [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico IST] - [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon]</ref> . In his [[ICGA Journal]] paper, ''Determining the Strength of Chess Players based on actual Play'' <ref>[[Diogo R. Ferreira]] ('''2012'''). ''Determining the Strength of Chess Players based on actual Play''. [[ICGA Journal#35_1|ICGA Journal, Vol. 35, No. 1]]</ref> , Ferreira elaborates on strength estimation based on a per move basis with the help of a strong chess program and distribution of gain. A gain was defined by the [[Score|score]] difference of [[Houdini|Houdini's 1.5]] fixed depth 20 ply search of all consecutive positions along the game-record, alternating assigned to the player who made the move. Four algorithms for different purposes were defined:
# Determine the relative strength between two players i and j.
# Determine the relative strength of each player i, in terms of a perceived Elo rating r'i for a set of players in a tournament, where the actual Elo ratings ri are known.
# Determine the engine strength based on the rating differences between the engine and a set of players whose Elo ratings and/or perceived ratings are known.
# Determine the strength of a player after a number of moves, based on the rating difference between player and engine, when an estimate of engine strength is available.
Ratings of various chess players and programs were estimated based on the distribution of gains from various games, [https://en.wikipedia.org/wiki/The_Game_of_the_Century_%28chess%29 The Game of the Century] between [https://en.wikipedia.org/wiki/Donald_Byrne Donald Byrne] and the 13 year old [https://en.wikipedia.org/wiki/Bobby_Fischer Bobby Fischer] was given as sample for algorithm 1 with game score differences, yielding in a rating difference of 113 points in favor to Fischer. The [https://en.wikipedia.org/wiki/London_Chess_Classic#2011_Classic:_3-12_December London Chess Classic 2011] <ref>[http://www.chess.co.uk/twic/chessnews/events/london-chess-classic-2011 London Chess Classic 2011] | [https://en.wikipedia.org/wiki/The_Week_in_Chess The Week in Chess]</ref> <ref>[http://www.chessbase.com/newsdetail.asp?newsid=7754 London R9: Vlad All Over], [[ChessBase|ChessBase News]], December 13, 2011</ref> was used as sample for algorithm 2 and 3, while algorithm 4 was applied for [[Kasparov versus Deep Blue 1997]], which, despite [https://en.wikipedia.org/wiki/Garry_Kasparov Garry Kasparov] lost the match, did result in a higher rating for him - 2754 versus 2741 for [[Deep Blue]].
=Selected Publications=
<ref>[http://web.ist.utl.pt/diogo.ferreira/#publications Diogo R. Ferreira | IST - Technical University of Lisbon | Publications]</ref>
<ref>[https://dblp.uni-trier.de/pers/hd/f/Ferreira:Diogo_R= dblp: Diogo R. Ferreira]</ref> <ref>[https://scholar.google.com/citations?user=CSEqKy8AAAAJ&hl=en Diogo R. Ferreira - Google Scholar Citations]</ref>
==2000 ...==
* [[Diogo R. Ferreira]] ('''2004'''). ''Workflow Management Systems Supporting the Engineering of Business Networks''. Ph.D. Thesis
* [[Diogo R. Ferreira]], [https://dblp.uni-trier.de/pers/hd/g/Gillblad:Daniel Daniel Gillblad] ('''2009'''). ''[https://github.com/diogoff/unlabelled-event-logs Discovering Process Models from Unlabelled Event Logs]''. [https://dblp.uni-trier.de/db/conf/bpm/bpm2009.html BPM 2009]
==2010 ...==
* [http://www.ii.uib.no/~michal/ Michal Walicki], [[Diogo R. Ferreira]] ('''2010'''). ''Mining Sequences for Patterns with Non-Repeating Symbols''. IEEE Congress on Evolutionary Computation
* [[Diogo R. Ferreira]] ('''2010'''). ''[http://web.ist.utl.pt/diogo.ferreira/chess/ Predicting the Outcome of Chess Games based on Historical Data]''. [https://en.wikipedia.org/wiki/Instituto_Superior_T%C3%A9cnico IST] - [https://en.wikipedia.org/wiki/Technical_University_of_Lisbon Technical University of Lisbon]
* [http://www.ii.uib.no/~michal/ Michal Walicki], [[Diogo R. Ferreira]] ('''2011'''). ''[https://github.com/diogoff/sequence-partitioning Sequence partitioning for process mining with unlabeled event logs]''. [https://www.journals.elsevier.com/data-and-knowledge-engineering Data & Knowledge Engineering], Vol. 70, No. 10
* [[Diogo R. Ferreira]] ('''2012'''). ''[https://ercim-news.ercim.eu/en89/special/performance-analysis-of-healthcare-processes-through-process-mining Performance Analysis of Healthcare Processes through Process Mining]''. [https://dblp.uni-trier.de/db/journals/ercim/ercim2012.html RCIM News 2012]
* [[Diogo R. Ferreira]] ('''2012'''). ''Determining the Strength of Chess Players based on actual Play''. [[ICGA Journal#35_1|ICGA Journal, Vol. 35, No. 1]] » [[Match Statistics]], [[Houdini]]
* [[Diogo R. Ferreira]] ('''2013'''). ''The Impact of the Search Depth on Chess Playing Strength''. [[ICGA Journal#36_2|ICGA Journal, Vol. 36, No. 2]] » [[Depth]], [[Depth#DiminishingReturns|Diminishing Returns]], [[Match Statistics]], [[Houdini]]
* [[Diogo R. Ferreira]], [https://dblp.uni-trier.de/pers/hd/s/Santos:Rui_M= Rui M. Santos] ('''2016'''). ''[https://github.com/diogoff/transition-counting-gpu Parallelization of Transition Counting for Process Mining on Multi-core CPUs and GPUs]''. [https://dblp.uni-trier.de/db/conf/bpm/bpmw2016.html BPM 2016]
* [https://www.researchgate.net/profile/Francisco_Matos3 Francisco A. Matos], [[Diogo R. Ferreira]], [https://www.researchgate.net/profile/P_Carvalho2 Pedro J. Carvalho], [https://en.wikipedia.org/wiki/Joint_European_Torus JET] Contributors ('''2017'''). ''Deep learning for plasma tomography using the bolometer system at JET''. [https://arxiv.org/abs/1701.00322 arXiv:1701.00322]
* [[Diogo R. Ferreira]], [https://www.researchgate.net/profile/P_Carvalho2 Pedro J. Carvalho], [https://scholar.google.be/citations?user=fkoOZ80AAAAJ&hl=en Horácio Fernandes], [https://en.wikipedia.org/wiki/Joint_European_Torus JET] Contributors ('''2018'''). ''Full-pulse Tomographic Reconstruction with Deep Neural Networks''. [https://arxiv.org/abs/1802.02242 arXiv:1802.02242]
=External Links=
* [http://web.ist.utl.pt/diogo.ferreira/ Diogo R. Ferreira | IST - Technical University of Lisbon]
* [https://github.com/diogoff diogoff (Diogo R. Ferreira) · GitHub]
* [http://blog.kaggle.com/2010/11/30/how-i-did-it-diogo-ferreira-on-4th-place-in-elo-chess-ratings-competition/ How I did it: Diogo Ferreira on 4th place in Elo chess ratings competition | no free hunch]
* [https://machinelearningmastery.com/discover-the-methodology-and-mindset-of-a-kaggle-master-an-interview-with-diogo-ferreira/ Inteview: Discover the Methodology and Mindset of a Kaggle Master], Interview with Diogo R. Ferreira by [https://machinelearningmastery.com/about/ Jason Brownlee], October 3, 2014
=References=
<references />
'''[[People|Up one level]]'''
[[Category:Researcher|Ferreira]]
