COBISS Co-operative Online Bibliographic system & services COBISS
Mauro Castelli
Personal bibliography for the period 2013-2023
2013
1.
WHITE, David R., MCDERMOTT, James, CASTELLI, Mauro, MANZONI, Luca, GOLDMAN, Brian
W., KRONBERGER, Gabriel, JAŚKOWSKI, Wojciech, O'REILLY, Una-May, LUKE, Sean. Better
GP benchmarks : community survey results and proposals.
Genetic programming and evolvable machines. [Print ed.]. Mar. 2013, vol. 14, iss. 1, str. 3-29. ISSN 1389-2576. DOI:
10.1007/s10710-012-9177-2. [COBISS.SI-ID
24350950]
2.
CASTELLI, Mauro, CASTALDIILARIA, Davide, GIORDANI, Ilaria, SILVA, Sara, VANNESCHI,
Leonardo, ARCHETTI, Francesco, MACCAGNOLA, Daniele. An efficient implementation of
geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics.
In: CORREIA, Luis M. (ed.), REIS, Luís Paulo (ed.), CASCALHO, José (ed.).
Progress in artificial intelligence : proceedings. 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, Angra do Heroísmo,
Azores, Portugal, September 9-12, 2013. Berlin: Springer. 2013, str. 78-89. Lecture
notes in artificial intelligence, Vol. 8154. ISBN 978-3-64240-668-3. ISSN 0302-9743.
DOI:
10.1007/978-3-642-40669-0_8. [COBISS.SI-ID
24385766]
3.
CASTELLI, Mauro, CASTALDIILARIA, Davide, VANNESCHI, Leonardo, GIORDANI, Ilaria, ARCHETTI,
Francesco, MACCAGNOLA, Daniele. An efficient implementation of geometric semantic
genetic programming for anticoagulation level prediction in pharmacogenetics. In:
GECCO '13 : proceeding of the Fifteenth Annual Conference on Genetic and Evolutionary
Computation Conference, Amsterdam, Netherlands, July 06-10, 2013. New York: ACM, 2013. Str. 137-138. ISBN 978-1-4503-1964-5, ISBN 978-1-4503-1963-8.
DOI:
10.1145/2464576.2464644. [COBISS.SI-ID
24386022]
4.
CASTELLI, Mauro, BERETTA, Stefano, VANNESCHI, Leonardo. A hybrid genetic algorithm
for the repetition free longest common subsequence problem.
Operations research letters. Nov. 2013, vol. 41, iss. 6, str. 644-649. ISSN 0167-6377. DOI:
10.1016/j.orl.2013.09.002. [COBISS.SI-ID
24349158]
5.
CASTELLI, Mauro, SILVA, Sara, VANNESCHI, Leonardo, CABRAL, Ana, VASCONCELOS, Maria
J., CATARINO, Luís, CARREIRAS, João M. B. Land cover/land use multiclass classification
using GP with geometric semantic operators. In: ESPARCIA-ALCÁZAR, Anna I. (ed.).
Applications of evolutionary computation : proceedings. 16th European conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013.
Heidelberg: Springer, 2013. Str. 334-343. Lecture notes in computer science, Vol.
7835. ISBN 978-3-64237-191-2. ISSN 0302-9743. DOI:
10.1007/978-3-642-37192-9_34. [COBISS.SI-ID
24386790]
6.
MANZONI, Luca, CASTELLI, Mauro, VANNESCHI, Leonardo. A new genetic programming framework
based on reaction systems.
Genetic programming and evolvable machines. [Print ed.]. Dec. 2013, vol. 14, iss. 4, str. 457-471. ISSN 1389-2576. DOI:
10.1007/s10710-013-9184-y. [COBISS.SI-ID
24348902]
7.
VANNESCHI, Leonardo, CASTELLI, Mauro, MANZONI, Luca, SILVA, Sara. A new implementation
of geometric semantic GP and its application to problems in pharmacokinetics. In:
KRAWIEC, Krzysztof (ed.).
Genetic programming : proceedings. 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Berlin:
Springer, cop. 2013. Str. 205-216. Lecture notes in computer science, Vol. 7831. ISBN
978-3-64237-206-3. ISSN 0302-9743. DOI:
10.1007/978-3-642-37207-0_18. [COBISS.SI-ID
24387302]
award: Best paper of the conference
8.
SILVA, Sara, INGALALLI, Vijay, VINGA, Susana, CARREIRAS, João M. B., MELO, Joana M.,
CASTELLI, Mauro, VANNESCHI, Leonardo, GONÇALVES, Ivo, CALDAS, José. Prediction of
forest aboveground biomass : an exercise on avoiding overfitting. In: ESPARCIA-ALCÁZAR,
Anna I. (ed.).
Applications of evolutionary computation : proceedings. 16th European conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013.
Heidelberg: Springer, 2013. Str. 407-417. Lecture notes in computer science, Vol.
7835. ISBN 978-3-64237-191-2. ISSN 0302-9743. DOI:
10.1007/978-3-642-37192-9-41. [COBISS.SI-ID
24386534]
9.
CASTELLI, Mauro, VANNESCHI, Leonardo, SILVA, Sara. Prediction of high performance
concrete strength using Genetic Programming with geometric semantic genetic operators.
Expert systems with applications. [Print ed.]. 2013, vol. 40, iss. 17, str. 6856-6862. ISSN 0957-4174. DOI:
10.1016/j.eswa.2013.06.037. [COBISS.SI-ID
24348646]
2014
10.
RUBERTO, Stefano, VANNESCHI, Leonardo, CASTELLI, Mauro, SILVA, Sara. ESAGP - a semantic
GP framework based on alignment in the error space. In: NICOLÁU, Miguel (ed.), et
al.
Genetic programming : revised selected papers. 17th European Conference, EuroGP, Granada, Spain, April 23-25, 2014. Berlin: Springer,
2014. Str. 150-161. Lecture Notes in Computer Science, Vol. 8599. ISBN 978-3-66244-302-6.
ISSN 0302-9743. DOI:
10.1007/978-3-662-44303-3_13. [COBISS.SI-ID
24384230]
award: Best paper of the conference
11.
CASTELLI, Mauro, VANNESCHI, Leonardo, DE FELICE, Matteo. Forecasting short-term electricity
consumption using a semantics-based genetic programming framework : the South Italy
case.
Energy economics. [Print ed.]. 2014, vol. 47, str. 37-41. ISSN 0140-9883. DOI:
10.1016/j.eneco.2014.10.009. [COBISS.SI-ID
24345830]
12.
CASTELLI, Mauro, VANNESCHI, Leonardo. Genetic algorithm with variable neighborhood
search for the optimal allocation of goods in shop shelves.
Operations research letters. Jul. 2014, vol. 42, iss. 5, str. 355-360. ISSN 0167-6377. DOI:
10.1016/j.orl.2014.06.002. [COBISS.SI-ID
24347878]
13.
NICOLÁU, Miguel (editor), KRAWIEC, Krzysztof (editor), HEYWOOD, Malcolm I. (editor),
CASTELLI, Mauro (editor), GARCÍA-SÁNCHEZ, Pablo (editor), MERELO GUERVÓS, Juan Julián
(editor), RIVAS SANTOS, Victor Manuel (editor), SIM, Kevin (editor),
17th European Conference, EuroGP, Granada, Spain, April 23-25, 2014.
Genetic programming : revised selected papers. Berlin: Springer, 2014. XII, 245 str., tabele, graf. prikazi. Lecture Notes in Computer
Science, Vol. 8599. ISBN 978-3-66244-302-6. ISSN 0302-9743. [COBISS.SI-ID
24383974]
14.
CASTELLI, Mauro, SILVA, Sara, MANZONI, Luca, VANNESCHI, Leonardo. Geometric selective
harmony search.
Information sciences. [Print ed.]. vol. 279, sep. 2014, str. 468-482. ISSN 0020-0255. DOI:
10.1016/j.ins.2014.04.001. [COBISS.SI-ID
24346086]
15.
VANNESCHI, Leonardo, SILVA, Sara, CASTELLI, Mauro, MANZONI, Luca. Geometric semantic
genetic programming for real life applications. In: RIOLO, Rick (ed.), MOORE, Jason
H. (ed.), KOTANCHEK, Mark (ed.).
Genetic programming theory and practice XI. Cham: Springer International Publishing, cop. 2014. Str. 191-209. Genetic and Evolutionary
Computation. ISBN 978-1-4939-0374-0. ISSN 1932-0167. [COBISS.SI-ID
24361446]
16.
CASTELLI, Mauro, VANNESCHI, Leonardo. A hybrid Harmony Search algorithm with variable
neighbourhood search for the bin-packing problem. In:
2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014),
Porto, Portugal, 30 July - 1 August 2014. Piscataway: IEEE, 2014. Str. 1-6. ISBN 978-1-4799-5938-9. DOI:
10.1109/NaBIC.2014.6921849. [COBISS.SI-ID
24384742]
17.
INGALALLI, Vijay, SILVA, Sara, CASTELLI, Mauro, VANNESCHI, Leonardo. A multi-dimensional
genetic programming approach for multi-class classification problems. In: NICOLÁU,
Miguel (ed.), et al.
Genetic programming : revised selected papers. 17th European Conference, EuroGP, Granada, Spain, April 23-25, 2014. Berlin: Springer,
2014. Str. 48-60. Lecture Notes in Computer Science, Vol. 8599. ISBN 978-3-66244-302-6.
ISSN 0302-9743. DOI:
10.1007/978-3-662-44303-3_5. [COBISS.SI-ID
24385254]
award: Best paper of the conference
18.
CASTELLI, Mauro, VANNESCHI, Leonardo, SILVA, Sara. Prediction of the unified Parkinson's
disease rating scale assessment using a genetic programming system with geometric
semantic genetic operators.
Expert systems with applications. [Print ed.]. Aug. 2014, vol. 41, iss. 10, str. 4608-4616. ISSN 0957-4174. DOI:
10.1016/j.eswa.2014.01.018. [COBISS.SI-ID
24346342]
19.
CASTELLI, Mauro, VANNESCHI, Leonardo, SILVA, Sara. Semantic search-based genetic programming
and the effect of intron deletion.
IEEE transactions on cybernetics. [Print ed.]. Jan. 2014, vol. 44, no. 1, str.103 - 113. ISSN 2168-2267. DOI:
10.1109/TSMCC.2013.2247754. [COBISS.SI-ID
24349414]
20.
VANNESCHI, Leonardo, CASTELLI, Mauro, SILVA, Sara. A survey of semantic methods in
genetic programming.
Genetic programming and evolvable machines. [Print ed.]. Jun. 2014, vol. 15, iss. 2, str. 195-214. ISSN 1389-2576. DOI:
10.1007/s10710-013-9210-0. [COBISS.SI-ID
24348134]
2015
21.
CASTELLI, Mauro, SILVA, Sara, VANNESCHI, Leonardo. A C++ framework for geometric semantic
genetic programming.
Genetic programming and evolvable machines. [Print ed.]. Mar. 2015, vol. 16, iss. 1, str. 73-81. ISSN 1389-2576. DOI:
10.1007/s10710-014-9218-0. [COBISS.SI-ID
24348390]
22.
BERETTA, Stefano, CASTELLI, Mauro, DONDI, Ricardo. Correcting gene tree by removal
and modification : tractability and approximability.
Journal of discrete algorithms. Jul. 2015, vol. 33, str. 115-129. ISSN 1570-8667. DOI:
10.1016/j.jda.2015.03.005. [COBISS.SI-ID
24344806]
23.
CASTELLI, Mauro, DE FELICE, Matteo, MANZONI, Luca, VANNESCHI, Leonardo. Electricity
demand modelling with genetic programming. In: PEREIRA, Francisco (ed.), et al.
Progress in Artificial Intelligence ; Progress in Artificial Intelligence : proceedings
: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal,
September 8-11, 2015. proceedings. 17th Portuguese Conference on Artificial Intelligence (EPIA) Coimbra, Portugal,
September 8-11, 2015. Cham: Springer, 2015. 213-225. Lecture notes in artificial intelligence,
Vol. 9273. ISBN 978-3-31923-484-7. ISSN 0302-9743. DOI:
10.1007/978-3-319-23485-4_22. [COBISS.SI-ID
24383718]
24.
CASTELLI, Mauro, TRUJILLO, Leonardo, VANNESCHI, Leonardo. Energy consumption forecasting
using semantic-based genetic programming with local search optimizer.
Computational intelligence and neuroscience. 2015, vol. 2015, art. id 971908, 8 str. ISSN 1687-5273. DOI:
10.1155/2015/971908. [COBISS.SI-ID
24343782]
25.
MACHADO, Penousal (editor), HEYWOOD, Malcolm I. (editor), CASTELLI, Mauro (editor),
GARCÍA-SÁNCHEZ, Pablo (editor), BURELLI, Paolo (editor), RISI, Sebastian (editor),
SIM, Kevin (editor),
18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015.
Genetic programming : proceedings. Cham: Springer, 2015. XII, 229 str., tabele, graf. prikazi. Lecture Notes in Computer
Science, Vol. 9025. ISBN 978-3-31916-500-4. ISSN 0302-9743. [COBISS.SI-ID
24388582]
26.
CASTELLI, Mauro, HENRIQUES, Roberto, VANNESCHI, Leonardo. A geometric semantic genetic
programming system for the electoral redistricting problem.
Neurocomputing. [Print ed.]. 2015, vol. 154, str. 200-207. ISSN 0925-2312. DOI:
10.1016/j.neucom.2014.12.003. [COBISS.SI-ID
24344550]
27.
CASTELLI, Mauro, TRUJILLO, Leonardo, VANNESCHI, Leonardo, SILVA, Sara, Z-FLORES, Emigdio,
LEGRAND, Pierrick. Geometric semantic genetic programming with local search. In: SILVA,
Sara (ed.).
GECCO'15 companion : proceedings of the 2015 Annual Conference on Genetic and Evolutionary
Computation, Madrid, Spain, July 11 - 15, 2015. Annual Conference on Genetic and Evolutionary Computation (GECCO), Madrid, Spain,
July 11 - 15, 2015. New York: ACM = Association for Computing Machinery, 2016. Str.
999-1006. ISBN 978-1-4503-3472-3. DOI:
10.1145/2739480.2754795. [COBISS.SI-ID
24375526]
28.
CASTELLI, Mauro, VANNESCHI, Leonardo, SILVA, Sara, RUBERTO, Stefano. How to exploit
alignment in the error space : two different GP models. In: RIOLO, Rick (ed.), WORZEL,
Bill (ed.), KOTANCHEK, Mark (ed.).
Genetic programming theory and practice XII. 12th Workshop on Genetic Programming Theory and Practice, University of Michigan,
8th - 10th May 2014. Cham: Springer International Publishing, 2015. Str. 133-148.
Genetic and Evolutionary Computation. ISBN 978-3-31916-030-6. ISSN 1932-0167. DOI:
10.1007/978-3-319-16030-6_8. [COBISS.SI-ID
24360678]
29.
VANNESCHI, Leonardo, CASTELLI, Mauro, COSTA, Ernesto, RE, Alessandro, VAZ, Henrique,
LOBO, Victor, URBANO, Paulo. Improving maritime awareness with semantic genetic programming
and linear scaling : prediction of vessels position based on AIS data. In: MORA, Antonio
M. (ed.), SQUILLERO, Giovanni (ed.).
Applications of evolutionary computation : 18th European Conference, EvoApplications
2015, Copenhagen, Denmark, April 8-10, 2015 : proceedings. 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10,
2015. Cham: Springer, 2015. Str. 732-744. Lecture Notes in Computer Science, Vol.
9028. ISBN 978-3-31916-549-3. ISSN 0302-9743. DOI:
10.1007/978-3-319-16549-3_59. [COBISS.SI-ID
24383206]
31.
CASTELLI, Mauro, TRUJILLO, Leonardo, VANNESCHI, Leonardo, POPOVIČ, Aleš. Prediction
of energy performance of residential buildings : a genetic programming approach.
Energy and buildings. [Print ed.]. 2015, vol. 102, iss. 1, str. 67-74. ISSN 0378-7788. DOI:
10.1016/j.enbuild.2015.05.013. [COBISS.SI-ID
22595814]
2016
32.
CASTELLI, Mauro, MANZONI, Luca, GONÇALVES, Ivo, VANNESCHI, Leonardo, TRUJILLO, Leonardo,
SILVA, Sara. An analysis of geometric semantic crossover : a computational geometry
approach. In: MERELO GUERVÓS, Juan Julián (ed.).
Proceedings of the 8th International Joint Conference on Computational Intelligence,
IJCCI 2016, Porto, Portugal, November 9-11, 2016. Vol. 1, ECTA. Vol. 2, FCTA. Vol.
3, NCTA. [S. l.]: SciTePress: = Science and Technology Publications, cop. 2016. Vol. 1, str.
201-208, tabele, graf. prikazi. ISBN 978-989-758-201-1. [COBISS.SI-ID
24382694]
33.
GONÇALVES, Ivo, SILVA, Sara, FONSECA, Carlos M., CASTELLI, Mauro. Arbitrarily close
alignments in the error space : a geometric semantic genetic programming approach.
In: TOBIAS, Friedrich (ed.).
GECCO comp'16 : proceeding of the 2016 on Genetic and Evolutionary Computation Conference
Companion, July 20-24, 2016, Denver, Colorado, USA. New York: ACM = Association for Computing Machinery, 2016. Str. 99-100. ISBN 978-1-4503-4323-7.
DOI:
10.1145/2908961.2908988. [COBISS.SI-ID
24387558]
34.
CASTELLI, Mauro, MANZONI, Luca, POPOVIČ, Aleš. An artificial intelligence system to
predict quality of service in banking organizations.
Computational intelligence and neuroscience. 2016, vol. 2016, art. id 9139380, 7 str. ISSN 1687-5273. DOI:
10.1155/2016/9139380. [COBISS.SI-ID
23091686]
35.
BERETTA, Stefano, CASTELLI, Mauro, GONÇALVES, Ivo, MERELLI, Ivan, RAMAZZOTTI, Daniele.
Combining Bayesian approaches and evolutionary techniques for the inference of breast
cancer networks. In: MERELO GUERVÓS, Juan Julián (ed.).
Proceedings of the 8th International Joint Conference on Computational Intelligence,
IJCCI 2016, Porto, Portugal, November 9-11, 2016. Vol. 1, ECTA. Vol. 2, FCTA. Vol.
3, NCTA. [S. l.]: SciTePress: = Science and Technology Publications, cop. 2016. Vol. 1, str.
217-224, tabele, graf. prikazi. ISBN 978-989-758-201-1. [COBISS.SI-ID
24382438]
36.
RE, Alessandro, CASTELLI, Mauro, VANNESCHI, Leonardo. A comparison between representations
for evolving images. In: JOHNSON, Colin (ed.), et al.
Evolutionary and biologically inspired music, sound, art and design : proceedings. 5th international conference, EvoMUSART 2016 Porto, Portugal, March 30-April 1,
2016. Switzerland: Springer, 2016. Str. 163-185. Lecture notes in computer science,
9596. ISBN 978-3-319-31007-7. ISSN 0302-9743. DOI:
10.1007/978-3-319-31008-4_12. [COBISS.SI-ID
24381670]
37.
CASTELLI, Mauro, VANNESCHI, Leonardo, POPOVIČ, Aleš. Controlling individuals growth
in semantic genetic programming through elitist replacement.
Computational intelligence and neuroscience. 2016, vol. 2016, art. id 8326760, 12 str. ISSN 1687-5273. DOI:
10.1155/2016/8326760. [COBISS.SI-ID
22914790]
38.
CASTELLI, Mauro, FUMAGALLI, Alessio. An evolutionary system for exploitation of fractured
geothermal reservoirs.
Computational geosciences. Apr. 2016, vol. 20, iss. 2, str. 385-396, graf. prikazi. ISSN 1420-0597. DOI:
10.1007/s10596-015-9552-1. [COBISS.SI-ID
24343014]
39.
MCDERMOTT, James (editor), CASTELLI, Mauro (editor), COSTA, Ernesto (editor), SIM,
Kevin (editor),
19th European Conference, EuroGP 2016 Porto, Portugal, March 30-April 1, 2016.
Genetic programming : proceedings. Cham: Springer, 2016. XII, 310 str., tabele, graf. prikazi. Lecture notes in computer
science, Vol. 9594. ISBN 978-3-31930-667-4. ISSN 0302-9743. [COBISS.SI-ID
24388326]
40.
BERETTA, Stefano, CASTELLI, Mauro, MARTÍNEZ, Yuliana, MUÑOZ, Luis, SILVA, Sara, TRUJILLO,
Leonardo, MILANESI, Luciano, MERELLI, Ivan. A machine learning approach for the integration
of miRNA-target predictions. In:
24th Euromicro International Conference on Parallel, Distributed and Network-Based
Processing. Piscataway (NJ): IEEE, 2016. Str. 528-534. Proceedings - Euromicro Workshop on Parallel
and Distributed Processing. ISBN 978-1-4673-8777-4. ISSN 1066-6192. DOI:
10.1109/PDP.2016.125. [COBISS.SI-ID
24379366]
41.
SILVA, Sara, MUÑOZ, Luis, TRUJILLO, Leonardo, INGALALLI, Vijay, CASTELLI, Mauro, VANNESCHI,
Leonardo. Multiclass classification through multidimensional clustering. In: RIOLO,
Rick (ed.), et al.
Genetic programming theory and practice XIII. 13th Workshop on Genetic Programming Theory and Practice, University of Michigan,
14th - 16th May 2015. Cham: Springer International Publishing, 2016. Str. 219-239.
Genetic and evolutionary computation. ISBN 978-3-31934-221-4. ISSN 1932-0167. DOI:
10.1007/978-3-319-34223-8_13. [COBISS.SI-ID
24360166]
42.
CASTELLI, Mauro, VANNESCHI, Leonardo, POPOVIČ, Aleš. Parameter evaluation of geometric
semantic genetic programming in pharmacokinetics.
International journal of bio-inspired computation. 2016, vol. 8, no. 1, str. 42 - 50. ISSN 1758-0366. DOI:
10.1504/IJBIC.2016.074634. [COBISS.SI-ID
22971110]
43.
BERETTA, Stefano, CASTELLI, Mauro, DONDI, Ricardo. Parameterized tractability of the
maximum-duo preservation string mapping problem.
Theoretical computer science. Sep. 2016, vol. 646, str. 16-25. ISSN 0304-3975. DOI:
10.1016/j.tcs.2016.07.011 0304-3975. [COBISS.SI-ID
24342246]
44.
CASTELLI, Mauro, TRUJILLO, Leonardo, VANNESCHI, Leonardo, POPOVIČ, Aleš. Prediction
of relative position of CT slices using a computational intelligence system.
Applied soft computing. [Print ed.]. Sep. 2016, vol. 46, str. 537-542. ISSN 1568-4946. DOI:
10.1016/j.asoc.2015.09.021. [COBISS.SI-ID
22789862]
45.
CASTELLI, Mauro, MANZONI, Luca, VANNESCHI, Leonardo, SILVA, Sara, POPOVIČ, Aleš. Self-tuning
geometric semantic Genetic Programming.
Genetic programming and evolvable machines. [Print ed.]. 2016, vol. 17, iss. 1, str. 55-74. ISSN 1389-2576. DOI:
10.1007/s10710-015-9251-7. [COBISS.SI-ID
22815462]
46.
CASTELLI, Mauro, VANNESCHI, Leonardo, MANZONI, Luca, POPOVIČ, Aleš. Semantic genetic
programming for fast and accurate data knowledge discovery.
Swarm and evolutionary computation. Feb. 2016, vol. 26, str. 1-7. ISSN 2210-6502. DOI:
10.1016/j.swevo.2015.07.001. [COBISS.SI-ID
22719718]
2017
47.
AGAPITO, Giuseppe, CANNATARO, Mario, CASTELLI, Mauro, DONDI, Ricardo, ZOPPIS, Italo.
10th Workshop on Biomedical and Bioinformatics Challenges for Computer Science - BBC2017.
In: SHAKSHUKI, Elhadi (ed.).
The 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks
(EUSPN 2017) / The 7th International Conference on Current and Future Trends of Information
and Communication Technologies in Healthcare (ICTH-2017) / Affiliated Workshops. [S. l.]: Elsevier Ltd., cop. 2017. Vol. 108c, str. 1113-1114. Procedia computer
science, Vol. 113 (2017). ISSN 1877-0509. DOI:
10.1016/j.procs.2017.05.279. [COBISS.SI-ID
24362982]
48.
BERETTA, Stefano, CANNATARO, Mario, CASTELLI, Mauro. 9th Workshop on Biomedical and
Bioinformatics Challenges for Computer Science - BBC2016.
Procedia computer science. 2016, vol. 80, str. 962-964. ISSN 1877-0509. DOI:
10.1016/j.procs.2016.05.390. [COBISS.SI-ID
24388070]
49.
ENRÍQUEZ-ZÁRATE, Josué, TRUJILLO, Leonardo, DE LARA, Salvador, CASTELLI, Mauro, Z-FLORES,
Emigdio, MUÑOZ, Luis, POPOVIČ, Aleš. Automatic modeling of a gas turbine using genetic
programming : an experimental study.
Applied soft computing. [Print ed.]. 2017, vol. 50, str. 212-222. ISSN 1568-4946. DOI:
10.1016/j.asoc.2016.11.019. [COBISS.SI-ID
23419110]
50.
AGAPITO, Giuseppe, CANNATARO, Mario, CASTELLI, Mauro, DONDI, Riccardo, ZOPPIS, Italo.
Editorial of the special issue of the 10th Workshop on biomedical and bioinformatics
challenges for computer science - BBC 2017.
Computers. 2018, vol. 17, iss. 1, art. 17. ISSN 2073-431X. DOI:
10.3390/computers7010017. [COBISS.SI-ID
24457446]
51.
CASTELLI, Mauro, GONÇALVES, Ivo, TRUJILLO, Leonardo, POPOVIČ, Aleš. An evolutionary
system for ozone concentration forecasting.
Information systems frontiers. Oct. 2017, vol. 19, iss. 5, str. 1123-1132. ISSN 1387-3326. DOI:
10.1007/s10796-016-9706-2. [COBISS.SI-ID
23231462]
52.
CASTELLI, Mauro, TRUJILLO, Leonardo, GONÇALVES, Ivo, POPOVIČ, Aleš. An evolutionary
system for the prediction of high performance concrete strength based on semantic
genetic programming.
Computers and Concrete : an international journal. Jun. 2017, vol. 19, iss.6, str. 657-664, ilustr. ISSN 1598-8198. DOI:
10.12989/cac.2017.19.6.657. [COBISS.SI-ID
23887078]
53.
CASTELLI, Mauro, MANZONI, Luca, VANNESCHI, Leonardo, POPOVIČ, Aleš. An expert system
for extracting knowledge from customers' reviews : the case of Amazon.com, Inc.
Expert systems with applications. [Print ed.]. Oct. 2017, vol. 84, str. 117-126. ISSN 0957-4174. DOI:
10.1016/j.eswa.2017.05.008. [COBISS.SI-ID
23780582]
54.
MCDERMOTT, James (editor), CASTELLI, Mauro (editor), SEKANINA, Lukas (editor), HAASDIJK,
Evert (editor), SÁNCHEZ, Garcia (editor),
20th European Conference, EuroGP 2017, Amsterdam, the Netherlands, April 19-21, 2017.
Genetic programming : proceedings : 20th European Conference, EuroGP 2017, Amsterdam,
the Netherlands, April 19-21, 2017. Cham: Springer, 2017. XII, 358 str., tabele, graf. prikazi. Lecture notes in computer
science, 10196. ISBN 978-3-319-55695-6. ISSN 0302-9743. DOI:
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55.
VANNESCHI, Leonardo, CASTELLI, Mauro, GONÇALVES, Ivo, MANZONI, Luca, SILVA, Sara.
Geometric semantic genetic programming for biomedical applications : a state of the
art upgrade. In:
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Spain, 5-8 June 2017. Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), cop.
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CASTELLI, Mauro, MANZONI, Luca, SILVA, Sara, VANNESCHI, Leonardo, POPOVIČ, Aleš. The
influence of population size in geometric semantic GP.
Swarm and evolutionary computation. 2017, vol. 32, str. 110-120. ISSN 2210-6502. DOI:
10.1016/j.swevo.2016.05.004. [COBISS.SI-ID
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award: Priznanje EF za najboljši znanstveni članek 2017
57.
VANNESCHI, Leonardo, BAKUROV, Illya, CASTELLI, Mauro. An initialization technique
for geometric semantic GP based on demes evolution and despeciation. In:
2017 IEEE Congress on Evolutionary Computation (CEC 2017), Donostia/San Sebastian,
Spain, 5-8 June 2017. Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), cop.
2017. Str. 113-120. ISBN 978-1-50904-602-7. DOI:
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CASTELLI, Mauro, DONDI, Riccardo, MAURI, Giancarlo, ZOPPIS, Italo. The longest filled
common subsequence problem. In: KÄRKKÄINEN, Juha (ed.), RADOSZEWSKI, Jakub (ed.),
RYTTER, Wojciech (ed.).
28th annual symposium on Combinatorial Pattern Matching. Saarbrücken/Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, 2017.
14:1-14:14 str. Leibniz international proceedings in informatics, Vol. 78. ISBN 978-3-95977-039-2.
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10.4230/LIPIcs.CPM.2017.14. [COBISS.SI-ID
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59.
VANNESCHI, Leonardo, HENRIQUES, Roberto, CASTELLI, Mauro. Multi-objective genetic
algorithm with variable neighbourhood search for the electoral redistricting problem.
Swarm and evolutionary computation. Oct. 2017, vol. 36, str. 37-51. ISSN 2210-6502. DOI:
10.1016/j.swevo.2017.04.003. [COBISS.SI-ID
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60.
CASTELLI, Mauro, SORMANI, Raul, TRUJILLO, Leonardo, POPOVIČ, Aleš. Predicting per
capita violent crimes in urban areas : an artificial intelligence approach.
Journal of ambient intelligence & humanized computing. Feb. 2017, vol. 8, iss. 1, str. 29-36. ISSN 1868-5137. DOI:
10.1007/s12652-015-0334-3. [COBISS.SI-ID
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61.
VANNESCHI, Leonardo, CASTELLI, Mauro, RE, Alessandro. Prediction of ships' position
by analysing AIS data : an artificial intelligence approach.
International journal of Web engineering and technology. 2017, vol. 12, no. 3, str. 253 - 274. ISSN 1476-1289. DOI:
10.1504/IJWET.2017.088389. [COBISS.SI-ID
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62.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro, VEGA-RODRÍGUEZ, Miguel
A. Reducing alignment time complexity of ultra-large sets of sequences.
Journal of computational biology. [Print ed.]. Nov. 2017, vol. 24, no. 11, str. 1144-1154, ilustr. ISSN 1066-5277.
DOI:
10.1089/cmb.2017.0097. [COBISS.SI-ID
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63.
CASTELLI, Mauro, VANNESCHI, Leonardo, TRUJILLO, Leonardo, POPOVIČ, Aleš. Stock index
return forecasting : semantics-based genetic programming with local search optimiser.
International journal of bio-inspired computation. 2017, vol. 10, no. 3, str. 159-171. ISSN 1758-0366. DOI:
10.1504/IJBIC.2017.10004325. [COBISS.SI-ID
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64.
GORIBAR-JIMENEZ, Carlos, MALDONADO, Yazmin, TRUJILLO, Leonardo, CASTELLI, Mauro, GONÇALVES,
Ivo, VANNESCHI, Leonardo. Towards the development of a complete GP system on an FPGA
using geometric semantic operators. In:
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Spain, 5-8 June 2017. Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE), cop.
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GONÇALVES, Ivo, SILVA, Sara, FONSECA, Carlos M., CASTELLI, Mauro. Unsure when to stop?
: ask your semantic neighbors. In:
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Conference Companion, July 15-19, 2017 Berlin, Germany. New York: ACM = Association for Computing Machinery, 2017. Str. 929-936. ISBN 978-1-4503-4939-0.
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66.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro, VEGA-RODRÍGUEZ, Miguel
A. Using biological knowledge for multiple sequence aligner decision making.
Information sciences. [Print ed.]. vol. 420, dec. 2017, str. 278-298. ISSN 0020-0255. DOI:
10.1016/j.ins.2017.08.069. [COBISS.SI-ID
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2018
67.
CASTELLI, Mauro (other).
21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018 : programme committee
member. [COBISS.SI-ID
24423654]
68.
VANNESCHI, Leonardo, CASTELLI, Mauro, SCOTT, Kristen, POPOVIČ, Aleš. Accurate high
performance concrete prediction with an alignment-based genetic programming system.
International journal of concrete structures and materials =. [Print ed.]. Dec. 2018, vol. 12, art. 72, str. 1-17. ISSN 1976-0485. DOI:
10.1186/s40069-018-0300-5. [COBISS.SI-ID
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70.
VANNESCHI, Leonardo, MICHA HORN, David, CASTELLI, Mauro, POPOVIČ, Aleš. An artificial
intelligence system for predicting customer default in e-commerce.
Expert systems with applications. [Print ed.]. Aug. 2018, vol. 104, str. 1-21. ISSN 0957-4174. DOI:
10.1016/j.eswa.2018.03.025. [COBISS.SI-ID
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71.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro. A characteristic-based
framework for multiple sequence aligners.
IEEE transactions on cybernetics. [Print ed.]. Jan. 2018, vol. 48, no. 1, str. 41 - 51. ISSN 2168-2267. DOI:
10.1109/TCYB.2016.2621129. [COBISS.SI-ID
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72.
CASTELLI, Mauro (other).
Evostar 2018 : the leading european event on bio-inspired computation, Parma, Italy,
4-6 April 2018 : program chair. [COBISS.SI-ID
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73.
POPOVIČ, Aleš, HACKNEY, Raymond A., TASSABEHJI, Rana, CASTELLI, Mauro. The impact
of big data analytics on firms' high value business performance.
Information systems frontiers. Apr. 2018, vol. 20, iss. 2, str. 209-222. ISSN 1387-3326. DOI:
10.1007/s10796-016-9720-4. [COBISS.SI-ID
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74.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro, VEGA-RODRÍGUEZ, Miguel
A. Multiobjective characteristic-based framework for very-large multiple sequence
alignment.
Applied soft computing. [Print ed.]. Aug. 2018, vol. 69, str. 719-736. ISSN 1568-4946. DOI:
10.1016/j.asoc.2017.06.022. [COBISS.SI-ID
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75.
VANNESCHI, Leonardo, SCOTT, Kristen, CASTELLI, Mauro. A multiple expression alignment
framework for genetic programming. In:
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Italy, 4-6 April, 2018. 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018. Cham: Springer,
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RUBIO-LARGO, Álvaro, CASTELLI, Mauro, VANNESCHI, Leonardo, VEGA-RODRÍGUEZ, Miguel
A. A parallel multiobjective metaheuristic for multiple sequence alignment.
Journal of computational biology. [Print ed.]. 2018, vol. 25, iss. 9, str. 1009-1022. ISSN 1066-5277. DOI:
10.1089/cmb.2018.0031. [COBISS.SI-ID
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77.
CASTELLI, Mauro, GONÇALVES, Ivo, MANZONI, Luca, VANNESCHI, Leonardo. Pruning techniques
for mixed ensembles of genetic programming models. In:
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Italy, 4-6 April, 2018. 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018. Cham: Springer,
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78.
BERETTA, Stefano, CASTELLI, Mauro, MUÑOZ, Luis, TRUJILLO, Leonardo, MARTÍNEZ, Yuliana,
POPOVIČ, Aleš, MILANESI, Luciano, MERELLI, Ivan. A scalable genetic programming approach
to integrate mirna-target predictions : comparing different parallel implementations
of M3GP.
Complexity. [Online ed.]. 2018, vol. 2018, art. id 4963139, 13 str. ISSN 1099-0526. DOI:
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79.
CAGNONI, Stefano, CASTELLI, Mauro. Special Issue on computational intelligence and
nature-inspired algorithms for real-world data analytics and pattern recognition.
Algorithms. 2018, vol. 11, iss. 3, art. 25. ISSN 1999-4893. DOI:
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80.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro, VEGA-RODRÍGUEZ, Miguel
A. Swarm intelligence for optimizing the parameters of multiple sequence aligners.
Swarm and evolutionary computation. Oct. 2018, vol. 42, str. 16-28. ISSN 2210-6502. DOI:
10.1016/j.swevo.2018.04.003. [COBISS.SI-ID
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81.
MEDVET, Eric, VIRGOLIN, Marco, CASTELLI, Mauro, BOSMAN, Peter, GONÇALVES, Ivo, TUŠAR,
Tea. Unveiling evolutionary algorithm representation with DU maps.
Genetic programming and evolvable machines. [Print ed.]. 2018, vol. 19, no. 3, str. 351-389. ISSN 1389-2576. DOI:
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2019
82.
VANNESCHI, Leonardo, CASTELLI, Mauro, SCOTT, Kristen, TRUJILLO, Leonardo. Alignment-based
genetic programming for real life applications.
Swarm and evolutionary computation. Feb. 2019, vol. 44, str. 840-851. ISSN 2210-6502. DOI:
10.1016/j.swevo.2018.09.006. [COBISS.SI-ID
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83.
JANKE, Jonathan, CASTELLI, Mauro, POPOVIČ, Aleš. Analysis of the proficiency of fully
connected neural networks in the process of classifying digital images benchmark of
different classification algorithms on high-level image features from convolutional
layers.
Expert systems with applications. [Print ed.]. Nov. 2019, vol. 135, str. 12-38. ISSN 0957-4174. DOI:
10.1016/j.eswa.2019.05.058. [COBISS.SI-ID
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award: Priznanje Ekonomske fakultete za najboljši znanstveni članek v letu 2019
project: funder: ARRS
84.
CASTELLI, Mauro, DONDI, Riccardo, MAURI, Giancarlo, ZOPPIS, Italo. Comparing incomplete
sequences via longest common subsequence.
Theoretical computer science. Dec. 2019, vol. 796, str. 272-285. ISSN 0304-3975. DOI:
10.1016/j.tcs.2019.09.022. [COBISS.SI-ID
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project: funder: ARRS
85.
BESOZZI, Daniela, MANZONI, Luca, SALVATORE, Marco, SPOLAOR, Simone, CASTELLI, Mauro,
VANNESCHI, Leonardo, CAZZANIGA, Paolo, RUBERTO, Stefano, RUNDO, Leonardo, TANGHERLONI,
Andrea. Computational intelligence for life sciences.
Fundamenta informaticae. 2019, vol. 171, iss. 1/4, str. 57-80, ilustr. ISSN 0169-2968. DOI:
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86.
VANNESCHI, Leonardo, CASTELLI, Mauro. Delta rule and backpropagation. In: RANGANATHAN,
Shoba (ed.).
Encyclopedia of bioinformatics and computational biology. Vol. 1, Methods. Vol. 2,
Topics. Vol. 3, Applications. Amsterdam, Netherlands; Cambridge, MA, United States: Elsevier, [2019]. Vol. 1,
str. 621-633. ISBN 978-0-128-11414-8. DOI:
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87.
MADUREIRA, Luís Alexandre Abrantes, CASTELLI, Mauro, POPOVIČ, Aleš. Design thinking
: the new mindset for competitive intelligence? : impacts on the competitive intelligence
model. In:
CAPSI 2019 proceedings : living between data science, IoT and...people : 19th Portuguese
Association of Information Systems conference, Lisbon, 11th-12th October 2019. [S. l.]: Association of Information Systems (AISNET), 2019. 19 str. Atas da Conferência
da Associação Portuguesa de Sistemas de Informação. ISSN 2183-489X.
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MADUREIRA, Luís Alexandre Abrantes, CASTELLI, Mauro, POPOVIČ, Aleš. Design thinking
: the new mindset for competitive intelligence? : impacts on the competitive intelligence
model. In:
CAPSI 2019 proceedings : living between data science, IoT and...people : 19th Portuguese
Association of Information Systems conference, Lisbon, 11th-12th October 2019. [S. l.]: Association of Information Systems (AISNET), 2019. Str. 34. Atas da Conferência
da Associação Portuguesa de Sistemas de Informação. ISSN 2183-489X.
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89.
CASTELLI, Mauro, CATTANEO, Gianpiero, MANZONI, Luca, VANNESCHI, Leonardo. A distance
between populations for n-points crossover in genetic algorithms.
Swarm and evolutionary computation. Feb. 2019, vol. 44, str. 636-645. ISSN 2210-6502. DOI:
10.1016/j.swevo.2018.08.007. [COBISS.SI-ID
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90.
MUÑOZ, Luis, TRUJILLO, Leonardo, SILVA, Sara, CASTELLI, Mauro, VANNESCHI, Leonardo.
Evolving multidimensional transformations for symbolic regression with M3GP.
Memetic computing. Jun. 2019, vol. 11, iss. 2, str. 111-126. ISSN 1865-9284. DOI:
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91.
HÁJEK, Petr, HENRIQUES, Roberto, CASTELLI, Mauro, VANNESCHI, Leonardo. Forecasting
performance of regional innovation systems using semantic-based genetic programming
with local search optimizer.
Computers & operations research. [Print ed.]. June 2019, vol. 106, str. 179-190. ISSN 0305-0548. DOI:
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92.
RUBERTO, Stefano, VANNESCHI, Leonardo, CASTELLI, Mauro. Genetic programming with semantic
equivalence classes.
Swarm and evolutionary computation. Feb. 2019, vol. 44, str. 453-469. ISSN 2210-6502. DOI:
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93.
CASTELLI, Mauro, MANZONI, Luca. GSGP-C++ 2.0 : a geometric semantic genetic programming
framework.
SoftwareX. Jul./Dec. 2019, vol. 10, art. 100313, 4 str. ISSN 2352-7110. DOI:
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project: funder: ARRS
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VANNESCHI, Leonardo, CASTELLI, Mauro. Multilayer perceptrons. In: RANGANATHAN, Shoba
(ed.).
Encyclopedia of bioinformatics and computational biology. Vol. 1, Methods. Vol. 2,
Topics. Vol. 3, Applications. Amsterdam, Netherlands; Cambridge, MA, United States: Elsevier, [2019]. Vol. 1,
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95.
RUBIO-LARGO, Álvaro, VANNESCHI, Leonardo, CASTELLI, Mauro, VEGA-RODRÍGUEZ, Miguel
A. Multiobjective metaheuristic to design RNA sequences.
IEEE transactions on evolutionary computation. [Print ed.]. Feb. 2019, vol. 23, iss. 1, str. 156-169. ISSN 1089-778X. DOI:
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96.
CASTELLI, Mauro, VANNESCHI, Leonardo, RUBIO-LARGO, Álvaro. Supervised learning : classification.
In: ROITBERG, Bernard D. (ed.).
Encyclopedia of bioinformatics and computational biology : reference module in life
sciences. Continuously updated ed. [S. l.]: Elsevier. 2019, vol. 1, str. 342-349. ISBN 978-0-12-811432-2.
DOI:
10.1016/B978-0-12-809633-8.20332-4. [COBISS.SI-ID
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2020
97.
KANDEL, Ibrahem, CASTELLI, Mauro, POPOVIČ, Aleš. Comparative study of first order
optimizers for image classification using convolutional neural networks on histopathology
images.
Journal of imaging. 2020, vol. 6, iss 9 (art. 92), str. 1-17. ISSN 2313-433X.
Repozitorij Univerze v Ljubljani – RUL, DOI:
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project: funder: ARRS
99.
GONÇALVES, Ivo, SECA, Marta, CASTELLI, Mauro. Explorations of the semantic learning
machine neuroevolution algorithm : dynamic training data use, ensemble construction
methods, and deep learning perspectives. In: BANZHAF, Wolfgang (ed.).
Genetic programming theory and practice XVII : [17th Workshop on Genetic Programming
Theory and Practice, University of Michigan, 16th - 19th May 2019]. Cham: Springer, 2020. Str. 39-62. Genetic and evolutionary computation, vol. 17.
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101.
CASTELLI, Mauro, DONDI, Riccardo, MEHDI HOSSEINZADEH, Mohammad. Genetic algorithms
for finding episodes in temporal networks. In: CRISTANI, Matteo (ed.).
Knowledge-based and intelligent information & engineering systems : proceedings of
the 24th International Conference KES2020. [S. l.]: Elsevier, cop. 2020. Str. 215-224. Procedia computer science, vol. 176.
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10.1016/j.procs.2020.08.023. [COBISS.SI-ID
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102.
DE LORENZO, Andrea, BARTOLI, Alberto, CASTELLI, Mauro, MEDVET, Eric, XUE, Bing. Genetic
programming in the twenty-first century : a bibliometric and content-based analysis
from both sides of the fence.
Genetic programming and evolvable machines. [Print ed.]. 2020, vol. 21, iss. 1-2, str. 181-204. ISSN 1389-2576. DOI:
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project: funder: ARRS
103.
CUSTODE, Leonardo Lucio, TECCE, C. L., BAKUROV, Illya, CASTELLI, Mauro, DELLA CIOPPA,
Antonio, VANNESCHI, Leonardo. A greedy iterative layered framework for training feed
forward neural networks. In: CASTILLO, Pedro A. (ed.), JIMÉNEZ LAREDO, Juan Luis (ed.),
DE VEGA, Francisco Fernández (ed.).
Applications of evolutionary computation : proceedings. 23rd European Conference, EvoApplications 2020Held as Part of EvoStar 2020Seville,
Spain, April 15-17, 2020. Cham: Springer, 2020. Str. 513-529. Lecture notes in computer
science, vol. 12104, LNCS sublibrary. SL 1, Theoretical computer science and general
issues, vol. 12104. ISBN 978-3-030-43721-3. ISSN 0302-9743, ISSN 2512-2010. DOI:
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105.
LAPA, Paulo, CASTELLI, Mauro, GONÇALVES, Ivo, SALA, Evis, RUNDO, Leonardo. A hybrid
end-to-end approach integrating conditional random fields into CNNs for prostate cancer
detection on MRI.
Applied sciences. Jan. 2020, vol. 10, iss. 1, art. 336, 19 str., ilustr. ISSN 2076-3417.
Repozitorij Univerze v Ljubljani – RUL, DOI:
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VANNESCHI, Leonardo, CASTELLI, Mauro, MANZONI, Luca, SILVA, Sara, TRUJILLO, Leonardo.
Is k nearest neighbours regression better than GP?. In: HU, Ting (ed.), et al.
Genetic programming : proceedings. 23rd European conference, EuroGP 2020, held as part of EvoStar 2020, Seville, Spain,
April 15-17, 2020. Cham, Switzerland: Springer, 2020. Str. 244-261. Lecture notes
in computer science, vol. 12101, LNCS sublibrary. SL 1, Theoretical computer science
and general issues, vol. 12101. ISBN 978-3-030-44093-0. ISSN 0302-9743, ISSN 2512-2010.
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107.
CASTELLI, Mauro, MARTINS CLEMENTE, Fabiana, POPOVIČ, Aleš, SILVA, Sara, VANNESCHI,
Leonardo. A machine learning approach to predict air quality in California.
Complexity. Mar. 2020, vol. 152, art. 119892, str. 1-23. ISSN 1076-2787.
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108.
RAGLIO, Alfredo, IMBRIANI, Marcello, IMBRIANI, Chiara, BAIARDI, Paola, MANZONI, Sara,
GIANOTTI, Marta, CASTELLI, Mauro, VANNESCHI, Leonardo, VICO, Francisco, MANZONI, Luca.
Machine learning techniques to predict the effectiveness of music therapy : a randomized
controlled trial.
Computer methods and programs in biomedicine. [Print ed.]. Mar. 2020, vol. 185, art. 1051060, str. 1-6. ISSN 0169-2607. DOI:
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111.
ABDELAZIZ, Ahmed, ANASTASIADOU, Maria, CASTELLI, Mauro. A parallel particle swarm
optimisation for selecting optimal virtual machine on cloud environment.
Applied sciences. 2020, vol. 10, iss. 18 (art. 6538), str. 1-25. ISSN 2076-3417.
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BAKUROV, Illya, BUZZELLI, Marco, CASTELLI, Mauro, SCHETTINI, Raimondo, VANNESCHI,
Leonardo. Parameters optimization of the Structural Similarity Index. In:
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1st October 2020. Springfield: Society for Imaging Science and Technology, 2020. Str. 19-23. London
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113.
CASTELLI, Mauro, DOBREVA, Maria, HENRIQUES, Roberto, VANNESCHI, Leonardo. Predicting
days on market to optimize real estate sales strategy.
Complexity. [Online ed.]. 2020, vol. 2020, art. 4603190, 22 str. ISSN 1099-0526.
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project: funder: ARRS
114.
TONINI, Andrea, REDWEIK, Paula, PAINHO, Marco, CASTELLI, Mauro. Remote estimation
of target height from unmanned aerial vehicle (UAV) images.
Remote sensing. 2020, vol. 12, št. 21 (art. 3602), str. 1-24. ISSN 2072-4292.
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115.
MANZONI, Luca, BARTOLI, Alberto, CASTELLI, Mauro, GONÇALVES, Ivo, MEDVET, Eric. Specializing
context-free grammars with a (1+1)-EA.
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116.
MANZONI, Luca, JAKOBOVIĆ, Domagoj, MARIOT, Luca, PICEK, Stjepan, CASTELLI, Mauro.
Towards an evolutionary-based approach for natural language processing.
ArXiv.org. 23rd Apr. 2020, 1 spletni vir (1 datoteka pdf (18 str.)), graf. prikazi. ISSN 2331-8422.
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MANZONI, Luca, JAKOBOVIĆ, Domagoj, MARIOT, Luca, PICEK, Stjepan, CASTELLI, Mauro.
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CRUZ-JESUS, Frederico, CASTELLI, Mauro, OLIVEIRA, Tiago, MENDES, Ricardo, NUNES, Catarina,
SA-VELHO, Mafalda, ROSA-LOURO, Ana. Using artificial intelligence methods to assess
academic achievement in public high schools of a European Union country.
Heliyon. Jun. 2020, vol. 6, iss. 2 (art. 04081), 1-11. ISSN 2405-8440. DOI:
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RAGLIO, Alfredo, BAIARDI, Paola, VIZZARI, Giuseppe, IMBRIANI, Marcello, CASTELLI,
Mauro, MANZONI, Sara, VICO, Francisco, MANZONI, Luca. Algorithmic music for therapy
: effectiveness and perspectives.
Applied sciences. 2021, vol. 11, iss. 19 (art. 8833), 13 str., ilustr. ISSN 2076-3417.
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JAKOBOVIĆ, Domagoj, MANZONI, Luca, MARIOT, Luca, PICEK, Stjepan, CASTELLI, Mauro.
CoInGP : convolutional inpainting with genetic programming. In: CHICANO, Francisco
(ed.).
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion,
10 July - 14 July, 2021, Lille, France. New York: ACM = Association for Computing Machinery, 2021. Str. 795-803. ISBN 978-1-4503-8350-9.
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PEREZ, Fernando, CASTELLI, Mauro. Combinatorial optimization problems and metaheuristics
: review, challenges, design, and development.
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MADUREIRA, Luís Alexandre Abrantes, POPOVIČ, Aleš, CASTELLI, Mauro. Competitive intelligence
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125.
BAKUROV, Illya, BUZZELLI, Marco, CASTELLI, Mauro, VANNESCHI, Leonardo, SCHETTINI,
Raimondo. General Purpose Optimization Library (GPOL) : a flexible and efficient multi-purpose
optimization library in Python.
Applied sciences. 2021, vol. 11, iss. 11, art. 4774, 34 str., ilustr. ISSN 2076-3417.
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126.
CASTELLI, Mauro, MANZONI, Luca, ESPINDOLA, Tatiana, POPOVIČ, Aleš, DE LORENZO, Andrea.
Generative adversarial networks for generating synthetic features for Wi-Fi signal
quality.
PloS one. 2021, vol. 16, iss. 11, article no. e0260308, 30 str. ISSN 1932-6203.
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10.1371/journal.pone.0260308. [COBISS.SI-ID
86681091]
project: MC received funding by the project GADgET (DSAIPA/DS/0022/2018) through
the FCT (Fundacão para a Ciência e a Tecnologia). MC and AP received funding by the
project P5-0410 through the Slovenian Research Agency
127.
TRUJILLO, Leonardo, MUNOZ CONTRERAS, Jose Manuel, HERNANDEZ, Daniel E., CASTELLI,
Mauro, TAPIA, Juan J. GSGP-CUDA - a CUDA framework for Geometric Semantic Genetic
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COSTA DE FARIAS, Erick, DI NOIA, Christian, HAN, Changhee, SALA, Evis, CASTELLI, Mauro,
RUNDO, Leonardo. Impact of GAN-based lesion-focused medical image super-resolution
on the robustness of radiomic features.
Scientific reports. 2021, vol. 11, art. 21361, str. 1-12. ISSN 2045-2322.
Repozitorij Univerze v Ljubljani – RUL, DOI:
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project: This work was partially supported by Mark Foundation for Cancer Research
and Cancer Research UK Cambridge Centre [C9685/A25177], additional support was also
provided by the National Institute of Health Research (NIHR) Cambridge Biomedical
Research Centre (BRC1215-20014). This work was partially supported by national funds
through the FCT (Fundação para a Ciência e a Tecnologia) by the Projects GADgET (DSAIPA/DS/0022/2018)
and the fnancial support from the Slovenian Research Agency (research core funding
no. P5-0410).
130.
COSTA-MENDEZ, Ricardo, OLIVEIRA, Tiago, CASTELLI, Mauro, CRUZ-JESUS, Frederico. A
machine learning approximation of the 2015 Portuguese high school student grades :
a hybrid approach.
Education and information technologies. 2021, vol. 26, str. 1527-1547. ISSN 1360-2357. DOI:
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COSTA-MENDES, Ricardo, CRUZ-JESUS, Frederico, OLIVEIRA, Tiago, CASTELLI, Mauro. Machine
learning bias in predicting high school grades : a knowledge perspective.
Emerging science journal. 2021, vol. 5, iss. 5, str. 576-597, ilustr. ISSN 2610-9182. DOI:
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ALBUQUERQUE, Carina, VANNESCHI, Leonardo, HENRIQUES, Roberto, CASTELLI, Mauro, PÓVOA,
Vanda, FIOR, Rita, PAPANIKOLAOU, Nickolas. Object detection for automatic cancer cell
counting in zebrafish xenografts.
PloS one. 2021, vol. 16, iss. 11 (art. 0260609), 28 str., ilustr. ISSN 1932-6203.
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133.
CASTELLI, Mauro, MANZONI, Luca, MARIOT, Luca, NOBILE, Marco S., TANGHERLONI, Andrea.
Salp swarm optimization : a critical review.
ArXiv.org. 4th Jun. 2021, 16 str., ilustr. ISSN 2331-8422. DOI:
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VANNESCHI, Leonardo, CASTELLI, Mauro. Soft target and functional complexity reduction
: a hybrid regularization method for genetic programming.
Expert systems with applications. [Print ed.]. Sep. 2021, vol. 177, art. 114929, 11 str. ISSN 0957-4174. DOI:
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135.
PERES, Fernando, FALLACARA, Enrico, MANZONI, Luca, CASTELLI, Mauro, POPOVIČ, Aleš,
RODRIGUES, Miguel, ESTEVENS, Pedro. Time series clustering of online gambling activities
for addicted users' detection.
Applied sciences. 2021, vol. 11, iss. 1, art. 2397, str. 1-31, ilustr. ISSN 2076-3417.
Repozitorij Univerze v Ljubljani – RUL, DOI:
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project: funder: ARRS
137.
BOTO FERREIRA, Mário, COSTA PINTO, Diego, MAURER HERTER, Márcia, SORO, Jerônimo, VANNESCHI,
Leonardo, CASTELLI, Mauro, PERES, Fernando. Using artificial intelligence to overcome
over-indebtedness and fight poverty.
Journal of business research. [Print ed.]. Jul. 2021, vol. 131, str. 411-425. ISSN 0148-2963. DOI:
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138.
MADUREIRA, Luís Alexandre Abrantes, POPOVIČ, Aleš, CASTELLI, Mauro. Competitive intelligence
empirical validation and application : foundations for knowledge advancement and relevance
to practice.
Journal of information science. [in press] 2023, vol., no. , str. 1-24, ilustr. ISSN 0165-5515.
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MADUREIRA, Luís Alexandre Abrantes, POPOVIČ, Aleš, CASTELLI, Mauro. Competitive intelligence
maturity models : systematic review, unified model and implementation frameworks.
Journal of intelligence studies in business. 2023, vol. 13, iss. 1, str. 6-29. ISSN 2001-015X.
Repozitorij Univerze v Ljubljani – RUL, DOI:
10.37380/jisib.v13i1.988. [COBISS.SI-ID
153218051]
project: Supported by the Slovenian Research Agency (research core funding) [P5-0410].
and by national funds through FCT (Fundação para a Ciência e a Tecnologia), under
the project UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA
IMS.
141.
BAKUROV, Illya, BUZZELLI, Marco, SCHETTINI, Raimondo, CASTELLI, Mauro, VANNESCHI,
Leonardo. Full-reference image quality expression via genetic programming.
IEEE transactions on image processing. [Print ed.]. 2023, vol. 32, str. 1458-1473, ilustr. ISSN 1057-7149. DOI:
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project: Slovenian Research Agency (Grant no. P5-0410)
142.
PHILIPPI, Daniel, ROTHAUS, Kai, CASTELLI, Mauro. A vision transformer architecture
for the automated segmentation of retinal lesions in spectral domain optical coherence
tomography images.
Scientific reports. 2023, vol. 13, article no.517, 14 str. ISSN 2045-2322.
Repozitorij Univerze v Ljubljani – RUL, DOI:
10.1038/s41598-023-27616-1. [COBISS.SI-ID
139976707]
project: This work was partially supported by Mark Foundation for Cancer Research
and Cancer Research UK Cambridge Centre [C9685/A25177], additional support was also
provided by the National Institute of Health Research (NIHR) Cambridge Biomedical
Research Centre (BRC1215-20014). This work was partially supported by national funds
through the FCT (Fundação para a Ciência e a Tecnologia) by the Projects GADgET (DSAIPA/DS/0022/2018)
and the fnancial support from the Slovenian Research Agency (research core funding
no. P5-0410).
project: Supported by national funds through FCT (Fundação para a Ciência e a Tecnologia),
under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação
(MagIC)/NOVA IMS. Mauro Castelli acknowledges the financial support from the Slovenian
Research Agency (research core funding no. P5-0410)
Selected format of bibliographic unit: ISO 690
Sorting of bibliographic units: Year - ascending, title
A source of bibliographic data: shared data base COBISS.SI/COBIB.SI, 17. 6. 2024