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Vitorino Ramos: Most Cited & Recent Papers

Fig. - The first Swarm Painting SP0016
(Jan. 2002). VRamos + LMoura (On the Implicit and on the Artificial
+ Swarm
Paintings).
[follow link for
online full PDF works]
Most
Cited Papers:
29. Vitorino Ramos,
Filipe Almeida, Artificial Ant Colonies in
Digital Image Habitats - A
Mass Behaviour Effect Study on Pattern Recognition, Proceedings of ANTS´2000 - 2nd
International Workshop on Ant
Algorithms (From Ant
Colonies to Artificial Ants), Marco Dorigo, Martin Middendorf
&
Thomas Stüzle (Eds.), pp. 113-116, Brussels, Belgium, 7-9 Sep.
2000.
42. Vitorino Ramos, Juan
J. Merelo, Self-Organized Stigmergic Document
Maps: Environment as a
Mechanism for Context Learning, in AEB´2002
– 1st Spanish
Conference on Evolutionary and
Bio-Inspired Algorithms, E. Alba, F.
Herrera, J.J. Merelo et al. (Eds.), pp. 284-293, Centro Univ. de
Mérida, Mérida, Spain, 6-8 Feb. 2002.
48. Ajith Abraham,
Vitorino Ramos, Web Usage Mining Using Artificial
Ant Colony Clustering
and Genetic Programming, in CEC´03 - Congress on Evolutionary
Computation, IEEE Press,
ISBN
078-0378-04-0, pp. 1384-1391, Canberra,
Australia, 8-12 Dec. 2003.
39. Vitorino Ramos,
Fernando Muge, Pedro Pina, Self-Organized Data
and Image Retrieval as a
Consequence of Inter-Dynamic Synergistic Relationships in Artificial
Ant Colonies, in Javier Ruiz-del-Solar and Mario
Köppen (Eds.), Frontiers in Artificial Intelligence and
Applications, Soft Computing Systems
- Design, Management and
Applications, 2nd Int. Conf. on Hybrid Intelligent
Systems, IOS
Press, Vol. 87, ISBN 1 5860 32976, pp. 500-509, Santiago, Chile,
Dec.
2002.
37. Vitorino Ramos, On
the Implicit and on the Artificial - Morphogenesis and Emergent
Aesthetics in Autonomous Collective Systems, in ARCHITOPIA Book, Art,
Architecture and Science, INSTITUT D'ART CONTEMPORAIN, J.L.
Maubant et
al. (Eds.), pp. 25-57, Chapter 2, ISBN 2905985631 - EAN 9782905985637,
France, Feb. 2002.
45. Vitorino Ramos, Ajith
Abraham, Swarms on Continuous Data, in
CEC´03 - Congress on Evolutionary
Computation, IEEE Press,
ISBN 078-0378-04-0, pp.1370-1375,
Canberra, Australia, 8-12 Dec. 2003.
Fig. - "A Strange Metamorphosis"
[From Kafka 2 Red Ant]. Created
with an Artificial Ant Colony, that uses images as Habitats, being
sensible to their gray levels. At the second row, "Kafka" image is
replaced as a substrate, by "Red Ant". In black, the higher levels of
pheromone (a chemical evaporative sugar substance used by swarms on
their orientation trought out the trails). It’s exactly this artificial
evaporation and the computational ant collective group sinergy
realocating their upgrades of pheromone at interesting places, that
allows for the emergence of adaptation and "perception" of new images.
Only some of the 6000 iterations processed are represented. The system
does not have any type of hierarchy, and ants communicate only in
indirect forms, through out the sucessive alteration that they found on
the Habitat. (full article).
51. Vitorino Ramos, Ajith
Abraham, Evolving a Stigmergic Self-Organized
Data Mining, in ISDA-04,
4th Int. Conf. on Intelligent Systems, Design and Applications,
Budapest, Hungary, ISBN 963-7154-30-2, pp. 725-730, August 26-28, 2004.
54. Vitorino Ramos, Ajith
Abraham, ANTIDS: Self-Organized Ant-based
Clustering Model for
Intrusion Detection Systems, in Swarm Intelligence and Patterns
special session at WSTST-05 - 4th IEEE Int. Conf. on Soft Computing as
Transdisciplinary Science and Technology - Japan, LNCS series, Springer-Verlag, Germany,
pp. 977-986, May 2005.
31. Vitorino Ramos,
Fernando Muge, Map Segmentation by Colour Cube
Genetic K-Mean
Clustering, Proc. of ECDL´2000 - 4th European
Conference on Research and Advanced
Technology for Digital Libraries, J. Borbinha and
T. Baker (Eds.), ISBN 3-540-41023-6, Lecture Notes in Computer Science,
Vol. 1923, pp. 319-323, Springer-Verlag
-Heidelberg, Lisbon, Portugal,
18-20 Sep. 2000.
63. Vitorino Ramos,
Carlos Fernandes, Agostinho C. Rosa, Social
Cognitive Maps, Swarm
Collective Perception and Distributed Search on Dynamic Landscapes,
submitted to A. Porto, A. Pazos, W. Buno (Eds.), Advancing Artificial
Intelligence through Biological Process Applications, IDEA Group Inc., 2007.
Fig. - One application example among
others on Genetic algorithms applied to Image Segmentation: detecting Melanoma
Skin Cancer by Colour Cube Evolved Image Segmentation. Two types of
information are crucial; perimeter evolution of the skin mark and his
colour evolution, on time (both can be adressed by this technique) [on
the left the original and noisy image with flash obtained from an
regular photo camera, and on the rigth the Evolutionary colour
segmentation Algorithm result]. (full article).
Most
Recent Works:
70. Ramos, V., Fernandes, C.,
Rosa, A.C., Abraham, A., Computational Chemotaxis
in Ants and Bacteria
over Dynamic
Environments, in CEC´07 -
Congress on Evolutionary
Computation, IEEE Press,
USA, ISBN
1-4244-1340-0, pp. 1009-1017, Sep. 2007.
69. Fernandes, C.,
Rosa, A.C., Ramos V., Binary Ant Algorithm, in Dirk Thierens et al.
(Eds.), GECCO´07 - Genetic and Evolutionary
Computation Conference, Vol. 1, pp. 41-48, ACM
Press, London, UK, 7-11 July, 2007.
65. Fernandes, C.,
Ramos, V., Rosa, A.C., Stigmergic Optimization in
Dynamic Binary
Landscapes, in SAC´07 - 22nd ACM Symp. on Applied
Computing, ACM/ SIGAPP press, pp. 747-748, Seoul, Korea, March
2007.
64. Vitorino Ramos,
Carlos Fernandes, Agostinho C. Rosa, Societal
Implicit Memory and his Speed on Tracking Extrema over Dynamic
Environments using Self-Regulatory Swarms, to appear soon.
63. Vitorino Ramos,
Carlos Fernandes, Agostinho C. Rosa, Social
Cognitive Maps, Swarm
Collective Perception and Distributed Search on Dynamic Landscapes,
submitted to A. Porto, A. Pazos, W. Buno (Eds.), Advancing Artificial
Intelligence through Biological Process Applications, IDEA Group Inc., 2007.
61. Vitorino Ramos,
Carlos Fernandes, Agostinho C. Rosa, On
Self-Regulated Swarms, Societal
Memory, Speed and Dynamics, in Artificial Life X - Proc. of the
Tenth
Int. Conf. on the Simulation and
Synthesis of Living Systems, L.M.
Rocha, L.S. Yaeger, M.A. Bedau, D. Floreano, R.L. Goldstone and A.
Vespignani (Eds.), MIT Press,
ISBN 0-262-68162-5, pp. 393-399,
Bloomington, Indiana, USA, June 3-7, 2006.
59. Carlos Fernandes,
Vitorino Ramos and Agostinho C. Rosa, Self-Regulated
Artificial Ant
Colonies on Digital Image Habitats, in Int.
Journal of Lateral
Computing, IJLC, vol. 2, nº 1, pp. 1-8, ISSN 0973-208X,
Dec. 2005.
58. Vitorino Ramos,
Carlos Fernandes and Agostinho C. Rosa, On Ants,
Bacteria and Dynamic
Environments, in NCA-05,
Natural Computing and Applications Workshop,
Timisoara, Romania, Sep. 25-29, 2005.
57. Crina Grosan, Ajith
Abraham, Sang Yong Han, Vitorino Ramos, Stock
Market Prediction using
Multi Expression Programming, in ALEA´05, Workshop on
Artificial
Life and Evolutionary Algorithms at EPIA´05 - Proc. of the 12th
Portuguese Conference on Artificial Intelligence, C. Bento, A. Cardoso
and G. Dias (Eds.), IEEE Press,
pp. 73-78, 2005.
56. Carlos Fernandes,
Vitorino Ramos, Agostinho C. Rosa, Varying the
Population Size of
Artificial Foraging Swarms on Time Varying Landscapes, in W. Duch,
J.
Kacprzyk, E. Oja, S. Zadrozny (Eds.), Artificial
Neural Networks:
Biological Inspirations, Proc. ICANN´05: 15th Int. Conf.,
Warsaw,
Poland, LNCS series, Vol. 3696, Part I, pp. 311-316, Springer-Verlag,
Sept. 2005.
55. Vitorino Ramos, Pedro
Pina, Exploiting and Evolving Rn
Mathematical Morphology
Feature
Spaces, in Ronse Ch., Najman L., Decencière E. (Eds.), Mathematical Morphology: 40
Years On, pp. 465-474, Springer,
Dordrecht,
The Netherlands, 2005.
54. Vitorino Ramos, Ajith
Abraham, ANTIDS: Self-Organized Ant-based
Clustering Model for
Intrusion Detection System, in Swarm Intelligence and
Patterns
special session at WSTST-05 - 4th IEEE Int. Conf. on Soft Computing as
Transdisciplinary Science and Technology - Japan, LNCS series, Springer-Verlag, Germany,
pp. 977-986, May 2005.
53. Vitorino Ramos,
Jonathan Campbell, John Slater, John Gillespie, Ivan F. Bendezu and
Fionn Murtagh, Swarming around Shellfish Larvae
Images, in WCLC-05, 2nd
World
Congress on Lateral Computing, Bangalore,
India, 16-18 Dec., 2005.
Fig. - Application of
Swarm Intelligence to Image Clustering and Classification. On the left
a compendium of 9 raw images (out of 20 samples) used in the present
study. Respective segmented images on the rigth. (full
article).
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