Everything packed to CILAMCE

Now everything is ready and I'm on my way to CILAMCE. I'm pretty sure it will be an enjoyable experience. There's gonna be a lot of interesting papers I'm looking forward to.

The only con about this conference is the time to present...15 minutes including time for questions...and I had so much to talk about!

Well, anyway, I'm uploading right now the ICARIS'08 presentation about MOM-aiNet, a multi-objective multipopulation artificial immune algorithm for biclustering and after I'm back from the conference I'm gonna upload the CILAMCE's presentation

CILAMCE 2009

well, now it's time to prepare the presentation for my paper entitled "Coherent Recommendations Using Biclustering" that will be presented at CILAMCE 2009 (http://eventos.nacad.ufrj.br/). This is one part of the basis for my Ph.d. thesis. It is a novel methodology to use coherent biclusters (as defined by Cheng & Church) in order to impute missing values. More details and the presantation will be available soon...

Optimization under Uncertainties - Book Chapter

Today I finally delivered the final version of my chapter (in portuguese) about uncertainties under optimization scenarios. It ended up a high quality review about this subject! I'm preparing a presentation based on this chapter right now...

For other updates I added some icons under my picture and info to the left that links to my places on several social networking tools. That should make it easier to contact me if anyone has anything to chat about.

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Coming up next

I've been working on a novel imputation method and the programming part of research has kept me busy!! But next week I'm gonna post some good news and update some sections of my website.

New Toolboxes

Have uploaded a bunch the toolboxes I made to help some of my research. They are: OptBox - for continuous single and multi-objective otpimization, CoBox - for image color reordering (see the reference on description) and BicBox - for biclustering. They were all compiled with MingW using the wxWidgets library. With time I'll be porting them to the Visual C++ environment to facilitate my own work.

As the description of BicBox got cluttered on the Toolboxes session I will transcribe it again here:

BicBox, a biclustering toolbox with the following algorithms: CC, FLOC (possibly wrong implementation), SEBI, Metacluster, BicACO, mom-aiNEt (aka multi-bic-ainet), moeabic, bic-aiNet.

Just load one of the sample datasets, choose an algorithm and click Run.

Choose the parameters, click Ok and wait.

When done, you can chose a bicluster on the drop-down box to get more info about it or export all bicluster with the Matlab Button.

On the Graphs tab you can have a graphical visualization of each bicluster.datasets format:

- first line: 0 if the dataset values are in double format and 1 if it can be represented as char

- second line: 0 if it is a dense dataset and 1 if it is a sparse dataset

- third line: number of rows and number of columns

- fourth line forward: the data

notice: the sparse dataset format is defined as "row column value" at each line.

New presentations

Have uploaded some recent presentations from CEC'09. Right now I'm translating a presentation about "Uncertain Envrionments" I created recently and presented at Unicamp.

What's new and what will be next

I'm glad to have some spare time to remodel this website...I've got so many visitors but I guess they get frustrated by the lack of content. So, I'll be updating all the site structure, starting with the news/blog session and also updating the toolbox session with the applications I developed throughout the doctoral degree.