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Marco Botta
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2020 – today
- 2024
- [j22]Annachiara Colombi
, Marialaura Bancheri, Marco Acutis, Angelo Basile, Marco Botta, Alessia Perego:
A sound understanding of a cropping system model with the global sensitivity analysis. Environ. Model. Softw. 173: 105932 (2024) - [j21]Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
:
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. Int. J. Approx. Reason. 164: 109065 (2024) - [c57]Mario Alviano, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré:
Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability. CILC 2024 - [c56]Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré:
Verifying Properties of a MultiLayer Network for the Recognition of Basic Emotions in a Conditional DL with Typicality (Extended Abstract). Description Logics 2024 - 2023
- [i3]Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré:
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. CoRR abs/2305.00304 (2023) - 2022
- [c55]Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré:
Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract). XAI.it@AI*IA 2022: 64-72 - [c54]Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré:
Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality. Datalog 2022: 54-67 - [c53]Elvio G. Amparore, Marco Botta, Idilio Drago, Susanna Donatelli, Giuseppe Mazzone:
Challenges for Driver Action Recognition with Face Masks. ITSC 2022: 1491-1497 - [c52]Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré:
From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration. FCR@KI 2022: 66-78 - [i2]Marco Botta, Daniele Camilleri, Federica Cena, Francesco Di Sario, Cristina Gena, Giuseppe Ignone, Claudio Mattutino:
Cloud-based user modeling for social robots: a first attempt. CoRR abs/2209.12292 (2022) - 2021
- [j20]Marco Botta, Davide Cavagnino, Roberto Esposito
:
NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks. Inf. Sci. 576: 228-241 (2021) - [i1]Cristina Gena, Federica Cena, Marco Botta, Claudio Mattutino:
User modeling for social and affective robots. CoRR abs/2108.02513 (2021) - 2020
- [j19]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels. Multim. Tools Appl. 79(35-36): 26427-26445 (2020) - [c51]Cristina Gena, Federica Cena, Claudio Mattutino, Marco Botta:
Cloud-based User Modeling for Social Robots: A First Attempt (short paper). cAESAR 2020: 1-6 - [c50]Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta:
Delving in the loss landscape to embed robust watermarks into neural networks. ICPR 2020: 1243-1250
2010 – 2019
- 2019
- [j18]Marco Botta, Rossella Cancelliere
, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison:
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. 60(3): 1549-1564 (2019) - 2018
- [c49]Mohamad Gharib
, Paolo Lollini
, Marco Botta, Elvio Gilberto Amparore, Susanna Donatelli, Andrea Bondavalli
:
On the Safety of Automotive Systems Incorporating Machine Learning Based Components: A Position Paper. DSN Workshops 2018: 271-274 - [c48]Elvio Gilberto Amparore, Marco Beccuti, Marco Botta, Susanna Donatelli, Fabio Tango:
Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems. ATT@IJCAI 2018: 70-77 - 2017
- [j17]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Image Fragile Watermarking through Quaternion Linear Transform in Secret Space. J. Imaging 3(3): 34 (2017) - [j16]Barbara Bonafè, Marco Botta, Davide Cavagnino, Victor Pomponiu:
Alpha Channel Fragile Watermarking for Color Image Integrity Protection. J. Imaging 3(4): 53 (2017) - 2016
- [j15]Marco Botta, Davide Cavagnino, Victor Pomponiu:
A modular framework for color image watermarking. Signal Process. 119: 102-114 (2016) - 2015
- [j14]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Fragile watermarking using Karhunen-Loève transform: the KLT-F approach. Soft Comput. 19(7): 1905-1919 (2015) - [c47]Victor Pomponiu, Davide Cavagnino, Marco Botta:
On the security of the schur-based watermarking schemes. DSP 2015: 215-218 - [c46]Victor Pomponiu, Davide Cavagnino, Marco Botta:
SS-SVD: Spread spectrum data hiding scheme based on Singular Value Decomposition. ISCE 2015: 1-2 - [c45]Rosa Meo
, Roberto Esposito
, Marco Botta, Sergio Viola, Chee Ming Choor, Valter Mellano, Franco Ciaramaglia:
Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. RTSI 2015: 334-340 - 2014
- [j13]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Protecting the Content Integrity of Digital Imagery with Fidelity Preservation: An Improved Version. ACM Trans. Multim. Comput. Commun. Appl. 10(3): 29:1-29:5 (2014) - [c44]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Automatic Selection of GA Parameters for Fragile Watermarking. EvoApplications 2014: 526-537 - 2013
- [j12]Fabio Tango, Marco Botta:
Real-Time Detection System of Driver Distraction Using Machine Learning. IEEE Trans. Intell. Transp. Syst. 14(2): 894-905 (2013) - [c43]Marco Botta, Davide Cavagnino, Victor Pomponiu:
Weighted-Sum Fragile Watermarking in the Karhunen-Loève Domain. STM 2013: 223-234 - 2011
- [c42]Marco Botta, Davide Cavagnino, Victor Pomponiu:
KL-F: Karhunen-Loève based fragile watermarking. NSS 2011: 65-72 - 2010
- [c41]Alessia Visconti
, Francesca Cordero
, Marco Botta, Raffaele A. Calogero
:
Gene Ontology Rewritten for Computing Gene Functional Similarity. CISIS 2010: 694-699 - [c40]Fabio Tango, Marco Botta, Luca Minin, Roberto Montanari:
Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms. ECAI 2010: 157-162 - [p2]Ugo Galassi, Marco Botta, Lorenza Saitta:
Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. Advances in Machine Learning I 2010: 275-295
2000 – 2009
- 2009
- [c39]Fabio Tango, Marco Botta:
ML Techniques for the Classification of Car-Following Maneuver. AI*IA 2009: 395-404 - [c38]Francesca Cordero
, Ruggero G. Pensa
, Alessia Visconti
, Dino Ienco
, Marco Botta:
Ontology-Driven Co-clustering of Gene Expression Data. AI*IA 2009: 426-435 - [c37]Marco Botta, Guido Negro:
Multiple Sequence Alignment with Genetic Algorithms. CIBB 2009: 206-214 - [c36]Marco Botta, Ugo Galassi, Attilio Giordana:
Generative Model versus Discriminative Model approach for Symbolic Sequence Classification. IICAI 2009: 513-532 - [c35]Fabio Tango, Marco Botta:
Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques. ICDM 2009: 176-190 - [c34]Francesca Cordero
, Alessia Visconti
, Marco Botta:
A new protein motif extraction framework based on constrained co-clustering. SAC 2009: 776-781 - 2008
- [c33]Cosimo Anglano
, Massimo Canonico, Marco Guazzone
, Marco Botta, Sergio Rabellino
, Simone Arena, Guglielmo Girardi:
Peer-to-Peer Desktop Grids in the Real World: The ShareGrid Project. CCGRID 2008: 609-614 - [c32]Dino Ienco, Rosa Meo, Marco Botta:
Using PageRank in Feature Selection. SEBD 2008: 93-100 - 2007
- [j11]Arianna Gallo, Roberto Esposito
, Rosa Meo
, Marco Botta:
Incremental Extraction of Association Rules in Applicative Domains. Appl. Artif. Intell. 21(4&5): 297-315 (2007) - [j10]Ugo Galassi, Marco Botta, Attilio Giordana:
Hierarchical Hidden Markov Models for User/Process Profile Learning. Fundam. Informaticae 78(4): 487-505 (2007) - 2006
- [j9]Roberto Esposito
, Rosa Meo
, Marco Botta:
Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. 26(1): 95-111 (2006) - [c31]Daniele Paolo Radicioni, Marco Botta:
A Methodological Contribution to Music Sequences Analysis. ISMIS 2006: 409-418 - 2005
- [c30]Arianna Gallo, Roberto Esposito
, Rosa Meo
, Marco Botta:
Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA 2005: 258-269 - [c29]Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta:
Learning Complex Event Descriptions by Abstraction. IJCAI 2005: 1600-1601 - [c28]Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta:
Learning Profiles Based on Hierarchical Hidden Markov Model. ISMIS 2005: 47-55 - 2004
- [j8]Fulvio Lazzarato, Giuliana Franceschinis, Marco Botta, Francesca Cordero
, Raffaele A. Calogero
:
RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets. Bioinform. 20(16): 2848-2850 (2004) - [c27]Rosa Meo
, Marco Botta, Roberto Esposito
, Arianna Gallo:
A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases 2004: 267-294 - [c26]Marco Botta, Ugo Galassi, Attilio Giordana:
Learning Complex and Sparse Events in Long Sequences. ECAI 2004: 425-429 - [c25]Eliot Laniado, Marco Botta, Alessandra Cappiello, Andrea Di Guardo:
Environmental information systems for land planning. EnviroInfo (2) 2004: 26-36 - [c24]Rosa Meo
, Marco Botta, Roberto Esposito:
Query Rewriting in Itemset Mining. FQAS 2004: 111-124 - [c23]Barbara Negro, Angelo Difino, Fabio Bellifemine, Giovanna Petrone, Luca Di Costa, Marco Botta, Liliana Ardissono:
Customer information sharing between e-commerce applications. WOA 2004: 5-12 - [p1]Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo:
Query Languages Supporting Descriptive Rule Mining: A Comparative Study. Database Support for Data Mining Applications 2004: 24-51 - 2003
- [j7]Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag:
Relational Learning as Search in a Critical Region. J. Mach. Learn. Res. 4: 431-463 (2003) - [c22]Francesco Marangoni, Matteo Barberis
, Marco Botta:
Large Scale Prediction of Protein Interactions by a SVM-Based Method. WIRN 2003: 296-301 - 2002
- [j6]Cosimo Anglano
, Marco Botta:
NOW G-Net: learning classification programs on networks of workstations. IEEE Trans. Evol. Comput. 6(5): 463-480 (2002) - [c21]Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo:
A Comparison between Query Languages for the Extraction of Association Rules. DaWaK 2002: 1-10 - [c20]Attilio Giordana, Paolo Terenziani
, Marco Botta:
Recognizing and Discovering Complex Events in Sequences. ISMIS 2002: 374-382 - 2001
- [c19]Marco Botta:
Resampling vs Reweighting in Boosting a Relational Weak Learner. AI*IA 2001: 70-80 - 2000
- [j5]Marco Botta, Roberto Piola:
Refining Numerical Constants in First Order Logic Theories. Mach. Learn. 38(1-2): 109-131 (2000) - [c18]Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta:
Analyzing Relational Learning in the Phase Transition Framework. ICML 2000: 311-318 - [c17]Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta:
Can Relational Learning Scale Up? ISMIS 2000: 31-39
1990 – 1999
- 1999
- [c16]Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag:
Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999: 178-189 - [c15]Attilio Giordana, Marco Botta, Lorenza Saitta:
An Experimental Study of Phase Transitions in Matching. IJCAI 1999: 1198-1203 - 1998
- [c14]Marco Botta, Attilio Giordana, Roberto Piola:
An Integrated Framework of Learning Numerical Terms in FOL. ECAI 1998: 415-419 - 1997
- [j4]Attilio Giordana, Filippo Neri
, Lorenza Saitta, Marco Botta:
Integrating Multiple Learning Strategies in First Order Logics. Mach. Learn. 27(3): 209-240 (1997) - [c13]Marco Botta, Attilio Giordana, Roberto Piola:
Refining Numerical Terms in Horn Clauses. AI*IA 1997: 13-23 - [c12]Marco Botta, Attilio Giordana, Roberto Piola:
FONN: Combining First Order Logic with Connectionist Learning. ICML 1997: 46-56 - [c11]Marco Botta, Attilio Giordana, Roberto Piola:
Refining First Order Theories with Neural Networks. ISMIS 1997: 84-93 - 1995
- [c10]Cristina Baroglio, Marco Botta:
Multiple Predicate Learning with RTL. AI*IA 1995: 44-55 - 1994
- [c9]Marco Botta:
Learning First Order Theories. ISMIS 1994: 356-365 - 1993
- [j3]Cristina Baroglio, Marco Botta, Attilio Giordana:
Learning Relations: An Evaluation of Search Strategies. Fundam. Informaticae 18: 221-232 (1993) - [j2]Lorenza Saitta, Marco Botta, Filippo Neri
:
Multistrategy Learning and Theory Revision. Mach. Learn. 11: 153-172 (1993) - [c8]Marco Botta, Attilio Giordana:
SMART+: A Multi-Strategy Learning Tool. IJCAI 1993: 937-945 - 1992
- [j1]Marco Botta, Lorenza Saitta:
Use of Causal Models and Abduction in Learning Diagnostic Knowledge. Int. J. Man Mach. Stud. 36(2): 289-307 (1992) - [c7]Marco Botta, Attilio Giordana, Lorenza Saitta:
Comparison of Search Strategies in Learning Relations. ECAI 1992: 451-455 - [c6]Marco Botta, Cristina Baroglio, Attilio Giordana, Bruno Graziano:
Learning Behavioral Knowledge In Robotic Domains. IROS 1992: 1816-1822 - 1991
- [c5]Marco Botta, Filippo Brancadori, S. Ravotto, Lorenza Saitta, S. B. Sperotto:
Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain. AI*IA 1991: 228-237 - [c4]Marco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto:
Improving Learning Using Causality and Abduction. ML 1991: 480-484 - [c3]Marco Botta, Attilio Giordana:
Learning Quantitative Features in a Symbolic Environment. ISMIS 1991: 296-305
1980 – 1989
- 1988
- [c2]Marco Botta, Lorenza Saitta:
Improving Knowledge-Based System Performance by Experience. EWSL 1988: 15-23 - [c1]Marco Botta:
Constructive Learning in Conjunctive Concept Characterization. ISMIS 1988: 293-302
Coauthor Index
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