Improving Knowledge-Based System Performance by Experience. - Marco Botta; Lorenza Saitta (EWSL, 1988)

Constructive Learning in Conjunctive Concept Characterization. - Marco Botta (ISMIS, 1988)

Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain. - Marco Botta; Filippo Brancadori; S. Ravotto; Lorenza Saitta; S. B. Sperotto (AI*IA, 1991)

Improving Learning Using Causality and Abduction. - Marco Botta; S. Ravotto; Lorenza Saitta; S. B. Sperotto (ML, 1991)

Learning Quantitative Features in a Symbolic Environment. - Marco Botta; Attilio Giordana (ISMIS, 1991)

Comparison of Search Strategies in Learning Relations. - Marco Botta; Attilio Giordana; Lorenza Saitta (ECAI, 1992)

Learning Behavioral Knowledge In Robotic Domains. - Marco Botta; Cristina Baroglio; Attilio Giordana; Bruno Graziano (IROS, 1992)

Use of Causal Models and Abduction in Learning Diagnostic Knowledge. - Marco Botta; Lorenza Saitta (Int. J. Man Mach. Stud., 1992)

SMART+: A Multi-Strategy Learning Tool. - Marco Botta; Attilio Giordana (IJCAI, 1993)

Learning Relations: An Evaluation of Search Strategies. - Cristina Baroglio; Marco Botta; Attilio Giordana (Fundam. Informaticae, 1993)

Multistrategy Learning and Theory Revision. - Lorenza Saitta; Marco Botta; Filippo Neri (Mach. Learn., 1993)

Learning First Order Theories. - Marco Botta (ISMIS, 1994)

Multiple Predicate Learning with RTL. - Cristina Baroglio; Marco Botta (AI*IA, 1995)

Refining Numerical Terms in Horn Clauses. - Marco Botta; Attilio Giordana; Roberto Piola (AI*IA, 1997)

FONN: Combining First Order Logic with Connectionist Learning. - Marco Botta; Attilio Giordana; Roberto Piola (ICML, 1997)

Refining First Order Theories with Neural Networks. - Marco Botta; Attilio Giordana; Roberto Piola (ISMIS, 1997)

Integrating Multiple Learning Strategies in First Order Logics. - Attilio Giordana; Filippo Neri; Lorenza Saitta; Marco Botta (Mach. Learn., 1997)

An Integrated Framework of Learning Numerical Terms in FOL. - Marco Botta; Attilio Giordana; Roberto Piola (ECAI, 1998)

Relational Learning: Hard Problems and Phase Transitions. - Marco Botta; Attilio Giordana; Lorenza Saitta; Michèle Sebag (AI*IA, 1999)

An Experimental Study of Phase Transitions in Matching. - Attilio Giordana; Marco Botta; Lorenza Saitta (IJCAI, 1999)

Analyzing Relational Learning in the Phase Transition Framework. - Attilio Giordana; Lorenza Saitta; Michèle Sebag; Marco Botta (ICML, 2000)

Can Relational Learning Scale Up? - Attilio Giordana; Lorenza Saitta; Michèle Sebag; Marco Botta (ISMIS, 2000)

Refining Numerical Constants in First Order Logic Theories. - Marco Botta; Roberto Piola (Mach. Learn., 2000)

Resampling vs Reweighting in Boosting a Relational Weak Learner. - Marco Botta (AI*IA, 2001)

A Comparison between Query Languages for the Extraction of Association Rules. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (DaWaK, 2002)

Recognizing and Discovering Complex Events in Sequences. - Attilio Giordana; Paolo Terenziani; Marco Botta (ISMIS, 2002)

NOW G-Net: learning classification programs on networks of workstations. - Cosimo Anglano; Marco Botta (IEEE Trans. Evol. Comput., 2002)

Large Scale Prediction of Protein Interactions by a SVM-Based Method. - Francesco Marangoni; Matteo Barberis; Marco Botta (WIRN, 2003)

Relational Learning as Search in a Critical Region. - Marco Botta; Attilio Giordana; Lorenza Saitta; Michèle Sebag (J. Mach. Learn. Res., 2003)

Query Languages Supporting Descriptive Rule Mining: A Comparative Study. - Marco Botta; Jean-François Boulicaut; Cyrille Masson; Rosa Meo (Database Support for Data Mining Applications, 2004)

A Novel Incremental Approach to Association Rules Mining in Inductive Databases. - Rosa Meo; Marco Botta; Roberto Esposito; Arianna Gallo (Constraint-Based Mining and Inductive Databases, 2004)

Learning Complex and Sparse Events in Long Sequences. - Marco Botta; Ugo Galassi; Attilio Giordana (ECAI, 2004)

Environmental information systems for land planning. - Eliot Laniado; Marco Botta; Alessandra Cappiello; Andrea Di Guardo (EnviroInfo (2), 2004)

Query Rewriting in Itemset Mining. - Rosa Meo; Marco Botta; Roberto Esposito (FQAS, 2004)

Customer information sharing between e-commerce applications. - Barbara Negro; Angelo Difino; Fabio Bellifemine; Giovanna Petrone; Luca Di Costa; Marco Botta; Liliana Ardissono (WOA, 2004)

RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets. - Fulvio Lazzarato; Giuliana Franceschinis; Marco Botta; Francesca Cordero; Raffaele A. Calogero (Bioinform., 2004)

Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. - Arianna Gallo; Roberto Esposito; Rosa Meo; Marco Botta (AI*IA, 2005)

Learning Complex Event Descriptions by Abstraction. - Ugo Galassi; Attilio Giordana; Lorenza Saitta; Marco Botta (IJCAI, 2005)

Learning Profiles Based on Hierarchical Hidden Markov Model. - Ugo Galassi; Attilio Giordana; Lorenza Saitta; Marco Botta (ISMIS, 2005)

A Methodological Contribution to Music Sequences Analysis. - Daniele Paolo Radicioni; Marco Botta (ISMIS, 2006)

Answering constraint-based mining queries on itemsets using previous materialized results. - Roberto Esposito; Rosa Meo; Marco Botta (J. Intell. Inf. Syst., 2006)

Incremental Extraction of Association Rules in Applicative Domains. - Arianna Gallo; Roberto Esposito; Rosa Meo; Marco Botta (Appl. Artif. Intell., 2007)

Hierarchical Hidden Markov Models for User/Process Profile Learning. - Ugo Galassi; Marco Botta; Attilio Giordana (Fundam. Informaticae, 2007)

Peer-to-Peer Desktop Grids in the Real World: The ShareGrid Project. - Cosimo Anglano; Massimo Canonico; Marco Guazzone; Marco Botta; Sergio Rabellino; Simone Arena; Guglielmo Girardi (CCGRID, 2008)

Using PageRank in Feature Selection. - Dino Ienco; Rosa Meo; Marco Botta (SEBD, 2008)

Ontology-Driven Co-clustering of Gene Expression Data. - Francesca Cordero; Ruggero G. Pensa; Alessia Visconti; Dino Ienco; Marco Botta (AI*IA, 2009)

ML Techniques for the Classification of Car-Following Maneuver. - Fabio Tango; Marco Botta (AI*IA, 2009)

Multiple Sequence Alignment with Genetic Algorithms. - Marco Botta; Guido Negro (CIBB, 2009)

Generative Model versus Discriminative Model approach for Symbolic Sequence Classification. - Marco Botta; Ugo Galassi; Attilio Giordana (IICAI, 2009)

Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques. - Fabio Tango; Marco Botta (ICDM, 2009)

A new protein motif extraction framework based on constrained co-clustering. - Francesca Cordero; Alessia Visconti; Marco Botta (SAC, 2009)

Gene Ontology Rewritten for Computing Gene Functional Similarity. - Alessia Visconti; Francesca Cordero; Marco Botta; Raffaele A. Calogero (CISIS, 2010)

Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms. - Fabio Tango; Marco Botta; Luca Minin; Roberto Montanari 003 (ECAI, 2010)

Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. - Ugo Galassi; Marco Botta; Lorenza Saitta (Advances in Machine Learning I, 2010)

KL-F: Karhunen-Loève based fragile watermarking. - Marco Botta; Davide Cavagnino; Victor Pomponiu (NSS, 2011)

Weighted-Sum Fragile Watermarking in the Karhunen-Loève Domain. - Marco Botta; Davide Cavagnino; Victor Pomponiu (STM, 2013)

Real-Time Detection System of Driver Distraction Using Machine Learning. - Fabio Tango; Marco Botta (IEEE Trans. Intell. Transp. Syst., 2013)

Automatic Selection of GA Parameters for Fragile Watermarking. - Marco Botta; Davide Cavagnino; Victor Pomponiu (EvoApplications, 2014)

Protecting the Content Integrity of Digital Imagery with Fidelity Preservation: An Improved Version. - Marco Botta; Davide Cavagnino; Victor Pomponiu (ACM Trans. Multim. Comput. Commun. Appl., 2014)

On the security of the schur-based watermarking schemes. - Victor Pomponiu; Davide Cavagnino; Marco Botta (DSP, 2015)

SS-SVD: Spread spectrum data hiding scheme based on Singular Value Decomposition. - Victor Pomponiu; Davide Cavagnino; Marco Botta (ISCE, 2015)

Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. - Rosa Meo; Roberto Esposito; Marco Botta; Sergio Viola; Chee Ming Choor; Valter Mellano; Franco Ciaramaglia (RTSI, 2015)

Fragile watermarking using Karhunen-Loève transform: the KLT-F approach. - Marco Botta; Davide Cavagnino; Victor Pomponiu (Soft Comput., 2015)

A modular framework for color image watermarking. - Marco Botta; Davide Cavagnino; Victor Pomponiu (Signal Process., 2016)

Alpha Channel Fragile Watermarking for Color Image Integrity Protection. - Barbara Bonafè; Marco Botta; Davide Cavagnino; Victor Pomponiu (J. Imaging, 2017)

Image Fragile Watermarking through Quaternion Linear Transform in Secret Space. - Marco Botta; Davide Cavagnino; Victor Pomponiu (J. Imaging, 2017)

On the Safety of Automotive Systems Incorporating Machine Learning Based Components: A Position Paper. - Mohamad Gharib; Paolo Lollini; Marco Botta; Elvio Gilberto Amparore; Susanna Donatelli; Andrea Bondavalli (DSN Workshops, 2018)

Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems. - Elvio Gilberto Amparore; Marco Beccuti; Marco Botta; Susanna Donatelli; Fabio Tango (ATT@IJCAI, 2018)

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. - Marco Botta; Rossella Cancelliere; Leo Ghignone; Fabio Tango; Patrick Gallinari; Clara Luison (Knowl. Inf. Syst., 2019)

Cloud-based User Modeling for Social Robots: A First Attempt (short paper). - Cristina Gena; Federica Cena; Claudio Mattutino; Marco Botta (cAESAR, 2020)

Delving in the loss landscape to embed robust watermarks into neural networks. - Enzo Tartaglione; Marco Grangetto; Davide Cavagnino; Marco Botta (ICPR, 2020)

Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels. - Marco Botta; Davide Cavagnino; Victor Pomponiu (Multim. Tools Appl., 2020)

User modeling for social and affective robots. - Cristina Gena; Federica Cena; Marco Botta; Claudio Mattutino (CoRR, 2021)

NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks. - Marco Botta; Davide Cavagnino; Roberto Esposito (Inf. Sci., 2021)

Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract). - Mario Alviano; Francesco Bartoli; Marco Botta; Roberto Esposito; Laura Giordano 001; Valentina Gliozzi; Daniele Theseider Dupré (XAI.it@AI*IA, 2022)

Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality. - Francesco Bartoli; Marco Botta; Roberto Esposito; Laura Giordano 001; Daniele Theseider Dupré (Datalog, 2022)

Challenges for Driver Action Recognition with Face Masks. - Elvio G. Amparore; Marco Botta; Idilio Drago; Susanna Donatelli; Giuseppe Mazzone (ITSC, 2022)

From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration. - Francesco Bartoli; Marco Botta; Roberto Esposito; Laura Giordano 001; Valentina Gliozzi; Daniele Theseider Dupré (FCR@KI, 2022)

Cloud-based user modeling for social robots: a first attempt. - Marco Botta; Daniele Camilleri; Federica Cena; Francesco Di Sario; Cristina Gena; Giuseppe Ignone; Claudio Mattutino (CoRR, 2022)

Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability. - Mario Alviano; Marco Botta; Roberto Esposito; Laura Giordano 001; Daniele Theseider Dupré (CILC, 2024)

Verifying Properties of a MultiLayer Network for the Recognition of Basic Emotions in a Conditional DL with Typicality (Extended Abstract). - Mario Alviano; Francesco Bartoli; Marco Botta; Roberto Esposito; Laura Giordano 001; Daniele Theseider Dupré (Description Logics, 2024)

Many-valued Temporal Description Logics with Typicality: an Abridged Report (short paper). - Mario Alviano; Marco Botta; Roberto Esposito; Laura Giordano 001; Daniele Theseider Dupré (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

A sound understanding of a cropping system model with the global sensitivity analysis. - Annachiara Colombi; Marialaura Bancheri; Marco Acutis; Angelo Basile; Marco Botta; Alessia Perego (Environ. Model. Softw., 2024)

A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. - Mario Alviano; Francesco Bartoli; Marco Botta; Roberto Esposito; Laura Giordano 001; Daniele Theseider Dupré (Int. J. Approx. Reason., 2024)