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186 results on '"Vella, Filippo"'

3. Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings

Author

Calderaro, Salvatore, Bosco, Giosué Lo, Vella, Filippo, Rizzo, Riccardo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Valenzuela, Olga, editor, Rojas Ruiz, Fernando, editor, Herrera, Luis Javier, editor, and Ortuño, Francisco, editor

Published
2023
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6. Creative Robot Dance with Variational Encoder

Author

Augello, Agnese, Cipolla, Emanuele, Infantino, Ignazio, Manfre, Adriano, Pilato, Giovanni, and Vella, Filippo

Subjects
Computer Science - Artificial Intelligence, Computer Science - Robotics
Abstract

What we appreciate in dance is the ability of people to sponta- neously improvise new movements and choreographies, sur- rendering to the music rhythm, being inspired by the cur- rent perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomor- phic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing move- ments according to to the listened music., Comment: This paper is an extended version of a paper published on the eighth International Conference on Computational Creativity (ICCC), held in Atlanta, GA, June 20th-June 22nd, 2017

Published
2017

8. A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots

Author

Augello, Agnese, Ciulla, Angelo, Cuzzocrea, Alfredo, Gaglio, Salvatore, Pilato, Giovanni, Vella, Filippo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Garau, Chiara, editor, Blečić, Ivan, editor, Taniar, David, editor, Apduhan, Bernady O., editor, Rocha, Ana Maria A.C., editor, Tarantino, Eufemia, editor, Torre, Carmelo Maria, editor, and Karaca, Yeliz, editor

Published
2020
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9. Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches

Author

Augello, Agnese, Infantino, Ignazio, Lieto, Antonio, Pilato, Giovanni, Rizzo, Riccardo, and Vella, Filippo

Subjects
Computer Science - Artificial Intelligence
Abstract

The paper proposes a novel cognitive architecture (CA) for computational creativity based on the Psi model and on the mechanisms inspired by dual process theories of reasoning and rationality. In recent years, many cognitive models have focused on dual process theories to better describe and implement complex cognitive skills in artificial agents, but creativity has been approached only at a descriptive level. In previous works we have described various modules of the cognitive architecture that allows a robot to execute creative paintings. By means of dual process theories we refine some relevant mechanisms to obtain artworks, and in particular we explain details about the resolution level of the CA dealing with different strategies of access to the Long Term Memory (LTM) and managing the interaction between S1 and S2 processes of the dual process theory. The creative process involves both divergent and convergent processes in either implicit or explicit manner. This leads to four activities (exploratory, reflective, tacit, and analytic) that, triggered by urges and motivations, generate creative acts. These creative acts exploit both the LTM and the WM in order to make novel substitutions to a perceived image by properly mixing parts of pictures coming from different domains. The paper highlights the role of the interaction between S1 and S2 processes, modulated by the resolution level, which focuses the attention of the creative agent by broadening or narrowing the exploration of novel solutions, or even drawing the solution from a set of already made associations. An example of artificial painter is described in some experimentations by using a robotic platform., Comment: 30 pages, 8 figures, to appear in Biologically Inspired Cognitive Architectures 2016

Published
2016

10. Talking with Sentiment: Adaptive Expression Generation Behavior for Social Robots

Author

Rodriguez, Igor, Manfré, Adriano, Vella, Filippo, Infantino, Ignazio, Lazkano, Elena, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Fuentetaja Pizán, Raquel, editor, García Olaya, Ángel, editor, Sesmero Lorente, Maria Paz, editor, Iglesias Martínez, Jose Antonio, editor, and Ledezma Espino, Agapito, editor

Published
2019
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11. NarRob: A Humanoid Social Storyteller with Emotional Expression Capabilities

Author

Augello, Agnese, Infantino, Ignazio, Maniscalco, Umberto, Pilato, Giovanni, Vella, Filippo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Samsonovich, Alexei V., editor

Published
2019
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12. Introducing NarRob, a Robotic Storyteller

Author

Augello, Agnese, Infantino, Ignazio, Maniscalco, Umberto, Pilato, Giovanni, Vella, Filippo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Gentile, Manuel, editor, Allegra, Mario, editor, and Söbke, Heinrich, editor

Published
2019
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16. Improving Spatial Reasoning by Interacting with a Humanoid Robot

Author

Augello, Agnese, Città, Giuseppe, Gentile, Manuel, Infantino, Ignazio, La Guardia, Dario, Manfré, Adriano, Maniscalco, Umberto, Ottaviano, Simona, Pilato, Giovanni, Vella, Filippo, Allegra, Mario, Howlett, Robert James, Series editor, Jain, Lakhmi C., Series editor, De Pietro, Giuseppe, editor, Gallo, Luigi, editor, and Howlett, Robert J., editor

Published
2018
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19. Modeling Robotic Thinking and Creativity: A Classic–Quantum Dialogue.

Author

Mannone, Maria, Chella, Antonio, Pilato, Giovanni, Seidita, Valeria, Vella, Filippo, and Gaglio, Salvatore

Subjects
QUANTUM computing, QUANTUM theory, QUANTUM states, DANCE, HUMAN behavior models
Abstract

The human mind can be thought of as a black box, where the external inputs are elaborated in an unknown way and lead to external outputs. D'Ariano and Faggin schematized thinking and consciousness through quantum state dynamics. The complexity of mental states can be formalized through the entanglement of the so-called qualia states. Thus, the interaction between the mind and the external world can be formalized as an interplay between classical and quantum-state dynamics. Since quantum computing is more and more often being applied to robots, and robots constitute a benchmark to test schematic models of behavior, we propose a case study with a robotic dance, where the thinking and moving mechanisms are modeled according to quantum–classic decision making. In our research, to model the elaboration of multi-sensory stimuli and the following decision making in terms of movement response, we adopt the D'Ariano–Faggin formalism and propose a case study with improvised dance based on a collection of poses, whose combination is presented in response to external and periodic multi-sensory stimuli. We model the dancer's inner state and reaction to classic stimuli through a quantum circuit. We present our preliminary results, discussing further lines of development. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Indoor Actions Classification Through Long Short Term Memory Neural Networks

Author

Cipolla, Emanuele, Infantino, Ignazio, Maniscalco, Umberto, Pilato, Giovanni, Vella, Filippo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Battiato, Sebastiano, editor, Gallo, Giovanni, editor, Schettini, Raimondo, editor, and Stanco, Filippo, editor

Published
2017
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22. Metric Learning in Histopathological Image Classification: Opening the Black Box

Author

Amato, D, Calderaro, S, Lo Bosco, G, Rizzo, R, Vella, Filippo, Amato, D, Calderaro, S, Lo Bosco, G, Rizzo, R, and Vella, Filippo

Subjects
WSI, triplet networks, embedding, Settore INF/01 - Informatica, patient level accuracy, metric learning, breast cancer imaging, BreakHis, classification interpretability, visualization
Abstract

The application of machine learning techniques to histopathology images enables advances in the field, providing valuable tools that can speed up and facilitate the diagnosis process. The classification of these images is a relevant aid for physicians who have to process a large number of images in long and repetitive tasks. This work proposes the adoption of metric learning that, beyond the task of classifying images, can provide additional information able to support the decision of the classification system. In particular, triplet networks have been employed to create a representation in the embedding space that gathers together images of the same class while tending to separate images with different labels. The obtained representation shows an evident separation of the classes with the possibility of evaluating the similarity and the dissimilarity among input images according to distance criteria. The model has been tested on the BreakHis dataset, a reference and largely used dataset that collects breast cancer images with eight pathology labels and four magnification levels. Our proposed classification model achieves relevant performance on the patient level, with the advantage of providing interpretable information for the obtained results, which represent a specific feature missed by the all the recent methodologies proposed for the same purpose.

Published
2023

27. A Personal Intelligent Coach for Smart Embodied Learning Environments

Author

Augello, Agnese, Infantino, Ignazio, Manfré, Adriano, Pilato, Giovanni, Vella, Filippo, Gentile, Manuel, Città, Giuseppe, Crifaci, Giulia, Raso, Rossella, Allegra, Mario, Howlett, Robert James, Series editor, Jain, Lakhmi C., Series editor, Pietro, Giuseppe De, editor, Gallo, Luigi, editor, and Howlett, Robert J., editor

Published
2016
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31. RISE: an open-source architecture for interdisciplinary and reproducible human-robot interaction research.

Author

Groß, André, Schütze, Christian, Brandt, Mara, Wrede, Britta, Richter, Birte, and Vella, Filippo

Subjects
HUMAN-robot interaction, GRAPHICAL user interfaces, REPRODUCIBLE research, OPEN architecture (Computer science), RESEARCH personnel
Abstract

In this article, we present RISE--a Robotics Integration and Scenario- Management Extensible-Architecture--for designing human-robot dialogs and conducting Human-Robot Interaction (HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly important. In addition, there is a lack of reproducibility of the research results. With the presented open-source architecture, we aim to address these two topics. Therefore, we discuss the advantages and disadvantages of various existing tools from different sub-fields within robotics. Requirements for an architecture can be derived from this overview of the literature, which 1) supports interdisciplinary research, 2) allows reproducibility of the research, and 3) is accessible to other researchers in the field of HRI. With our architecture, we tackle these requirements by providing a Graphical User Interface which explains the robot behavior and allows introspection into the current state of the dialog. Additionally, it offers controlling possibilities to easily conduct Wizard of Oz studies. To achieve transparency, the dialog is modeled explicitly, and the robot behavior can be configured. Furthermore, the modular architecture offers an interface for external features and sensors and is expandable to new robots and modalities. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Recognition of Human Identity by Detection of User Activity

Author

Scardino, Giuseppe, Infantino, Ignazio, Vella, Filippo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Marinos, Louis, editor, and Askoxylakis, Ioannis, editor

Published
2013
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46. Unsupervised Clustering in Personal Photo Collections

Author

Ardizzone, Edoardo, La Cascia, Marco, Vella, Filippo, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Detyniecki, Marcin, editor, Leiner, Ulrich, editor, and Nürnberger, Andreas, editor

Published
2010
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47. Improving Spatial Reasoning by Interacting with a Humanoid Robot

Author

Augello, Agnese, primary, Città, Giuseppe, additional, Gentile, Manuel, additional, Infantino, Ignazio, additional, La Guardia, Dario, additional, Manfré, Adriano, additional, Maniscalco, Umberto, additional, Ottaviano, Simona, additional, Pilato, Giovanni, additional, Vella, Filippo, additional, and Allegra, Mario, additional

Published
2017
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