An Effective Approach for Clustering InhA Molecular Dynamics Trajectory Using Substrate-Binding Cavity Features by De Paris, Renata, Quevedo, Christian V, Ruiz, Duncan D A, Norberto de Souza, Osmar

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A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model by De Paris, Renata, Vahl Quevedo, Christian, Ruiz, Duncan D, Gargano, Furia, de Souza, Osmar Norberto

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Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data by Tomaz Da Silva, Laura, Esper, Nathalia Bianchini, Ruiz, Duncan D., Meneguzzi, Felipe, Buchweitz, Augusto

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A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models by Vahl Quevedo, Christian, De Paris, Renata, D. Ruiz, Duncan, Norberto de Souza, Osmar

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Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments by Norberto de Souza, Osmar, Ruiz, Duncan D. A., Quevedo, Christian V., De Paris, Renata, Barros, Rodrigo C.

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wFReDoW: A Cloud-Based Web Environment to Handle Molecular Docking Simulations of a Fully Flexible Receptor Model by Ruiz, Duncan D. A., Norberto de Souza, Osmar, Frantz, Fábio A., De Paris, Renata

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Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data by Barros, Rodrigo C, Winck, Ana T, Machado, Karina S, Basgalupp, Márcio P, de Carvalho, André C P L F, Ruiz, Duncan D, de Souza, Osmar Norberto

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FReDoWS: a method to automate molecular docking simulations with explicit receptor flexibility and snapshots selection by Machado, Karina S, Schroeder, Evelyn K, Ruiz, Duncan D, Cohen, Elisângela M L, de Souza, Osmar Norberto

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Mining flexible-receptor docking experiments to select promising protein receptor snapshots by Machado, Karina S, Winck, Ana T, Ruiz, Duncan D A, de Souza, Osmar Norberto

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Evolutionary model trees for handling continuous classes in machine learning by Barros, Rodrigo C., Ruiz, Duncan D., Basgalupp, Márcio P.

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Context-based preprocessing of molecular docking data by Winck, Ana T, Machado, Karina S, de Souza, Osmar Norberto, Ruiz, Duncan D

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Efficient Neural Architecture for Text-to-Image Synthesis by Souza, Douglas M., Wehrmann, Jonatas, Ruiz, Duncan D.

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SPDW+: a seamless approach for capturing quality metrics in software development environments by Silveira, Patrícia Souza, Becker, Karin, Ruiz, Duncan D.

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Mining flexible-receptor molecular docking data by Machado, Karina S., Winck, Ana T., Ruiz, Duncan D., Norberto de Souza, Osmar

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Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network by Ichida, Alexandre Yukio, Meneguzzi, Felipe, Ruiz, Duncan D.

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A pre-processing tool for Web usage mining in the distance education domain by Marquardt, C.G., Becker, K., Ruiz, D.D.

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A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models by Quevedo, Christian Vahl, De Paris, Renata, Ruiz, Duncan D, de Souza, Osmar Norberto

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Movie genre classification with Convolutional Neural Networks by Simoes, Gabriel S., Wehrmann, Jonatas, Barros, Rodrigo C., Ruiz, Duncan D.

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Towards High-Resolution Face Pose Synthesis by Souza, Douglas M., Ruiz, Duncan D.

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Efficient Neural Architecture for Text-to-Image Synthesis by Souza, Douglas M, Wehrmann, Jônatas, Ruiz, Duncan D

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