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Guido Bologna
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2020 – today
- 2024
- [c41]Guido Bologna
, Jean-Marc Boutay, Quentin Leblanc, Damian Boquete:
Fidex: An Algorithm for the Explainability of Ensembles and SVMs. IWINAC (2) 2024: 378-388 - 2023
- [j17]J. M. Górriz
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [j16]Guido Bologna
Transferring CNN Features Maps to Ensembles of Explainable Neural Networks. Inf. 14(2): 89 (2023) - [c40]Foivos Charalampakos, Thomas Tsouparopoulos, Yiannis Papageorgiou, Guido Bologna, André Panisson, Alan Perotti
Research Challenges in Trustworthy Artificial Intelligence and Computing for Health: The Case of the PRE-ACT project. EuCNC/6G Summit 2023: 629-634 - 2022
- [c39]Guido Bologna
Explaining CNN Classifications by Propositional Rules Generated from DCT Feature Maps. IWINAC (1) 2022: 318-327 - 2021
- [j15]Guido Bologna
A Rule Extraction Technique Applied to Ensembles of Neural Networks, Random Forests, and Gradient-Boosted Trees. Algorithms 14(12): 339 (2021) - [c38]Guido Bologna
Transparent Ensembles for Covid-19 Prognosis. CD-MAKE 2021: 351-364 - 2020
- [j14]Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410: 237-270 (2020)
2010 – 2019
- 2019
- [c37]Guido Bologna
Propositional Rules Generated at the Top Layers of a CNN. IWINAC (2) 2019: 432-440 - 2018
- [j13]Guido Bologna
A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs. Appl. Comput. Intell. Soft Comput. 2018: 4084850:1-4084850:20 (2018) - [j12]Guido Bologna
A Rule Extraction Study from SVM on Sentiment Analysis. Big Data Cogn. Comput. 2(1): 6 (2018) - [c36]Guido Bologna
A Rule Extraction Study Based on a Convolutional Neural Network. CD-MAKE 2018: 304-313 - 2017
- [j11]Guido Bologna, Yoichi Hayashi:
Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning. J. Artif. Intell. Soft Comput. Res. 7(4): 265 (2017) - 2016
- [j10]Séverine Cloix, Guido Bologna, Viviana Weiss, Thierry Pun, David Hasler:
Low-power depth-based descending stair detection for smart assistive devices. EURASIP J. Image Video Process. 2016: 33 (2016) - [j9]Yoichi Hayashi, Yuki Tanaka, Tomohiro Takagi, Takamichi Saito, Hideaki Iiduka
Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores. J. Artif. Intell. Soft Comput. Res. 6(1): 35 (2016) - [c35]Grégory Dessart, Martial Sankar, Anastasia Chasapi, Guido Bologna, Zhargalma Dandarova Robert, Pierre-Yves Brandt:
A Web-based Tool Called Gauntlet: From Iterative Design To Interactive Drawings Annotation. DH 2016: 778-779 - [c34]Guido Bologna, Yoichi Hayashi:
A rule extraction study on a neural network trained by deep learning. IJCNN 2016: 668-675 - 2015
- [c33]Yoichi Hayashi, Yuki Tanaka, Shonosuke Yukita, Satoshi Nakano, Guido Bologna:
Three-MLP Ensemble Re-RX algorithm and recent classifiers for credit-risk evaluation. IJCNN 2015: 1-8 - [c32]Guido Bologna, Yoichi Hayashi:
QSVM: A Support Vector Machine for Rule Extraction. IWANN (2) 2015: 276-289 - [c31]Viviana Weiss, Aleksandr Korolev, Guido Bologna, Séverine Cloix, Thierry Pun:
An Embedded Ground Change Detector for a "Smart Walker". IWINAC (1) 2015: 533-542 - 2014
- [c30]Séverine Cloix, Guido Bologna, Viviana Weiss, Thierry Pun, David Hasler:
Descending Stairs Detection with Low-Power Sensors. ECCV Workshops (3) 2014: 658-672 - [c29]Viviana Weiss, Guido Bologna, Séverine Cloix, David Hasler, Thierry Pun:
Walking Behavior Change Detector for a "Smart" Walker. IHCI 2014: 43-50 - [c28]Séverine Cloix, Viviana Weiss, Guido Bologna, Thierry Pun, David Hasler:
Obstacle and Planar Object Detection using Sparse 3D Information for a Smart Walker. VISAPP (2) 2014: 292-298 - [c27]Viviana Weiss, Séverine Cloix, Guido Bologna, David Hasler, Thierry Pun:
A Robust, Real-time Ground Change Detector for a "Smart" Walker. VISAPP (2) 2014: 305-312 - 2013
- [j8]Juan Diego Gomez, Guido Bologna, Thierry Pun:
Efficient registering of color and range images. EURASIP J. Image Video Process. 2013: 41 (2013) - [c26]Guido Bologna, Juan Diego Gomez, Thierry Pun:
Vision Substitution Experiments with See ColOr. IWINAC (1) 2013: 83-93 - 2012
- [c25]Juan Diego Gomez, Guido Bologna, Thierry Pun:
Non-visual-cueing-based sensing and understanding of nearby entities in aided navigation. ASSETS 2012: 213-214 - [c24]Juan Diego Gomez, Guido Bologna, Thierry Pun:
Spatial awareness and intelligibility for the blind: audio-touch interfaces. CHI Extended Abstracts 2012: 1529-1534 - [c23]Juan Diego Gomez, Guido Bologna, Thierry Pun:
Real-Time Image Registration of RGB Webcams and Colorless 3D Time-of-Flight Cameras. ECCV Workshops (3) 2012: 589-592 - 2011
- [j7]Guido Bologna, Benoît Deville, Juan Diego Gomez, Thierry Pun:
Toward local and global perception modules for vision substitution. Neurocomputing 74(8): 1182-1190 (2011) - [c22]Juan Diego Gomez, Sinan Mohammed, Guido Bologna, Thierry Pun:
Toward 3D scene understanding via audio-description: Kinect-iPad fusion for the visually impaired. ASSETS 2011: 293-294 - [c21]Guido Bologna, Anne-Lise Veuthey, Marco Pagni
A Preliminary Study on the Prediction of Human Protein Functions. IWINAC (1) 2011: 334-343 - 2010
- [c20]Juan Diego Gomez, Guido Bologna, Thierry Pun:
Color-audio encoding interface for visual substitution: see color matlab-based demo. ASSETS 2010: 245-246 - [c19]Benoît Deville, Guido Bologna, Thierry Pun:
Detecting objects and obstacles for visually impaired individuals using visual saliency. ASSETS 2010: 253-254
2000 – 2009
- 2009
- [j6]Guido Bologna, Benoît Deville, Thierry Pun:
On the use of the auditory pathway to represent image scenes in real-time. Neurocomputing 72(4-6): 839-849 (2009) - [c18]Guido Bologna, Stéphane Malandain, Benoît Deville, Thierry Pun:
The Multi-Touch See ColOr Interface. ICTA 2009: 139-142 - [c17]Guido Bologna, Benoît Deville, Thierry Pun:
Blind Navigation along a Sinuous Path by Means of the See ColOr Interface. IWINAC (2) 2009: 235-243 - [p1]Benoît Deville, Guido Bologna, Michel Vinckenbosch, Thierry Pun:
See ColOr: Seeing Colours with an Orchestra. Human Machine Interaction 2009: 251-279 - 2008
- [c16]Guido Bologna, Benoît Deville, Michel Vinckenbosch, Thierry Pun:
A perceptual interface for vision substitution in a color matching experiment. IJCNN 2008: 1621-1628 - [c15]Benoît Deville, Guido Bologna, Michel Vinckenbosch, Thierry Pun:
Depth-Based Detection of Salient Moving Objects in Sonified Videos for Blind Users. VISAPP (1) 2008: 434-439 - 2007
- [j5]Guido Bologna, Benoît Deville, Thierry Pun, Michel Vinckenbosch:
Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications. EURASIP J. Image Video Process. 2007 (2007) - [j4]Thierry Pun, Patrick Roth, Guido Bologna, Konstantinos Moustakas, Dimitrios Tzovaras
Image and Video Processing for Visually Handicapped People. EURASIP J. Image Video Process. 2007 (2007) - [c14]Guido Bologna, Benoît Deville, Thierry Pun, Michel Vinckenbosch:
Identifying Major Components of Pictures by Audio Encoding of Colours. IWINAC (2) 2007: 81-89 - [c13]Guido Bologna, Mathieu Boretti, Paul Albuquerque:
Filtering Documents with a Hybrid Neural Network Model. IWINAC (1) 2007: 261-271 - 2005
- [c12]Guido Bologna, Michel Vinckenbosch:
Eye Tracking in Coloured Image Scenes Represented by Ambisonic Fields of Musical Instrument Sounds. IWINAC (1) 2005: 327-337 - 2004
- [j3]Guido Bologna:
Is it worth generating rules from neural network ensembles? J. Appl. Log. 2(3): 325-348 (2004) - 2003
- [j2]Guido Bologna:
A model for single and multiple knowledge based networks. Artif. Intell. Medicine 28(2): 141-163 (2003) - [c11]Guido Bologna, Christian Pellegrini:
Recognizing Images from ICA Filters and Neural Network Ensembles with Rule Extraction. IWANN (2) 2003: 544-550 - 2002
- [c10]Guido Bologna:
On the Validation of the DIMLP Neural Network. FLAIRS 2002: 264-266 - [c9]Guido Bologna:
Rule Extraction from Bagged Neural Networks. HIS 2002: 42-53 - 2001
- [j1]Guido Bologna:
A Study on Rule Extraction from Several Combined Neural Networks. Int. J. Neural Syst. 11(3): 247-255 (2001) - [c8]Guido Bologna:
Determining Hyper-planes to Generate Symbolic Rules. IWANN (1) 2001: 791-798 - 2000
- [c7]Guido Bologna:
Rule Extraction from a Multi Layer Perceptron with Staircase Activation Functions. IJCNN (3) 2000: 419-424 - [c6]Guido Bologna:
Rule Extraction from Linear Combinations of DIMLP Neural Networks. SBRN 2000: 95-100
1990 – 1999
- 1999
- [c5]Alan B. Tickle, Frédéric Maire, Guido Bologna, Joachim Diederich:
Extracting the Knowledge Embedded within Trained Artificial Neural Networks: Defining the Agenda. IIA/SOCO 1999 - 1998
- [b1]Guido Bologna:
Conventional symbolic rule extraction from multi layer perceptrons with discrete and continuous activation functions. University of Geneva, Switzerland, 1998 - [c4]Alan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich:
Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks. Hybrid Neural Systems 1998: 226-239 - [c3]Guido Bologna:
Symbolic Rule Extraction from the DIMLP Neural Network. Hybrid Neural Systems 1998: 240-254 - 1997
- [c2]Guido Bologna, Ahmed Rida, Christian Pellegrini:
Intelligent Assistance for Coronary Heart Disease Diagnosis: A Comparison Study. AIME 1997: 199-210 - [c1]Guido Bologna, Christian Pellegrini:
Accurate Decomposition of Standard MLP Classification Responses into Symbolic Rules. IWANN 1997: 617-627
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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