Marco Botta

According to our database1, Marco Botta authored at least 80 papers between 1988 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality.
Int. J. Approx. Reason., January, 2024

2022
Cloud-based user modeling for social robots: a first attempt.
CoRR, 2022

From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration.
Proceedings of the 8th Workshop on Formal and Cognitive Reasoning co-located with the 45th German Conference on Artificial Intelligence (KI 2022), 2022

Challenges for Driver Action Recognition with Face Masks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality.
Proceedings of the 4th International Workshop on the Resurgence of Datalog in Academia and Industry (Datalog-2.0 2022) co-located with the 16th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2022), 2022

Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract).
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks.
Inf. Sci., 2021

User modeling for social and affective robots.
CoRR, 2021

2020
Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels.
Multim. Tools Appl., 2020

Delving in the loss landscape to embed robust watermarks into neural networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Cloud-based User Modeling for Social Robots: A First Attempt (short paper).
Proceedings of the Workshop on Adapted intEraction with SociAl Robots, 2020

2019
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training.
Knowl. Inf. Syst., 2019

2018
Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems.
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

On the Safety of Automotive Systems Incorporating Machine Learning Based Components: A Position Paper.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2017
Image Fragile Watermarking through Quaternion Linear Transform in Secret Space.
J. Imaging, 2017

Alpha Channel Fragile Watermarking for Color Image Integrity Protection.
J. Imaging, 2017

2016
A modular framework for color image watermarking.
Signal Process., 2016

2015
Fragile watermarking using Karhunen-Loève transform: the KLT-F approach.
Soft Comput., 2015

Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications.
Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015

SS-SVD: Spread spectrum data hiding scheme based on Singular Value Decomposition.
Proceedings of the International Symposium on Consumer Electronics, 2015

On the security of the schur-based watermarking schemes.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014
Protecting the Content Integrity of Digital Imagery with Fidelity Preservation: An Improved Version.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Automatic Selection of GA Parameters for Fragile Watermarking.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Real-Time Detection System of Driver Distraction Using Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2013

Weighted-Sum Fragile Watermarking in the Karhunen-Loève Domain.
Proceedings of the Security and Trust Management - 9th International Workshop, 2013

2011
KL-F: Karhunen-Loève based fragile watermarking.
Proceedings of the 5th International Conference on Network and System Security, 2011

2010
Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms.
Proceedings of the ECAI 2010, 2010

Gene Ontology Rewritten for Computing Gene Functional Similarity.
Proceedings of the CISIS 2010, 2010

2009
A new protein motif extraction framework based on constrained co-clustering.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Generative Model versus Discriminative Model approach for Symbolic Sequence Classification.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

Multiple Sequence Alignment with Genetic Algorithms.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

ML Techniques for the Classification of Car-Following Maneuver.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

Ontology-Driven Co-clustering of Gene Expression Data.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
Using PageRank in Feature Selection.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Peer-to-Peer Desktop Grids in the Real World: The ShareGrid Project.
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008

2007
Hierarchical Hidden Markov Models for User/Process Profile Learning.
Fundam. Informaticae, 2007

Incremental Extraction of Association Rules in Applicative Domains.
Appl. Artif. Intell., 2007

2006
Answering constraint-based mining queries on itemsets using previous materialized results.
J. Intell. Inf. Syst., 2006

A Methodological Contribution to Music Sequences Analysis.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

2005
Learning Profiles Based on Hierarchical Hidden Markov Model.
Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Learning Complex Event Descriptions by Abstraction.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints.
Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

2004
RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets.
Bioinform., 2004

Customer information sharing between e-commerce applications.
Proceedings of the WOA 2004: Dagli Oggetti agli Agenti. 5th AI*IA/TABOO Joint Workshop "From Objects to Agents": Complex Systems and Rational Agents, 30 November, 2004

Query Rewriting in Itemset Mining.
Proceedings of the Flexible Query Answering Systems, 6th International Conference, 2004

Environmental information systems for land planning.
Proceedings of the Sh@ring: 18th International Conference "Informatics for Environmental Protection", 2004

Learning Complex and Sparse Events in Long Sequences.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

A Novel Incremental Approach to Association Rules Mining in Inductive Databases.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

Query Languages Supporting Descriptive Rule Mining: A Comparative Study.
Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003
Relational Learning as Search in a Critical Region.
J. Mach. Learn. Res., 2003

Large Scale Prediction of Protein Interactions by a SVM-Based Method.
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

2002
NOW G-Net: learning classification programs on networks of workstations.
IEEE Trans. Evol. Comput., 2002

Recognizing and Discovering Complex Events in Sequences.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

A Comparison between Query Languages for the Extraction of Association Rules.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
Resampling vs Reweighting in Boosting a Relational Weak Learner.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

2000
Refining Numerical Constants in First Order Logic Theories.
Mach. Learn., 2000

Can Relational Learning Scale Up?
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Analyzing Relational Learning in the Phase Transition Framework.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
An Experimental Study of Phase Transitions in Matching.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Relational Learning: Hard Problems and Phase Transitions.
Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999

1998
An Integrated Framework of Learning Numerical Terms in FOL.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

1997
Integrating Multiple Learning Strategies in First Order Logics.
Mach. Learn., 1997

Refining First Order Theories with Neural Networks.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

FONN: Combining First Order Logic with Connectionist Learning.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Refining Numerical Terms in Horn Clauses.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1995
Multiple Predicate Learning with RTL.
Proceedings of the Topics in Artificial Intelligence, 1995

1994
Learning First Order Theories.
Proceedings of the Methodologies for Intelligent Systems, 8th International Symposium, 1994

1993
Multistrategy Learning and Theory Revision.
Mach. Learn., 1993

Learning Relations: An Evaluation of Search Strategies.
Fundam. Informaticae, 1993

SMART+: A Multi-Strategy Learning Tool.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Use of Causal Models and Abduction in Learning Diagnostic Knowledge.
Int. J. Man Mach. Stud., 1992

Learning Behavioral Knowledge In Robotic Domains.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992

Comparison of Search Strategies in Learning Relations.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991
Learning Quantitative Features in a Symbolic Environment.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Improving Learning Using Causality and Abduction.
Proceedings of the Eighth International Workshop (ML91), 1991

Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain.
Proceedings of the Trends in Artificial Intelligence, 1991

1988
Constructive Learning in Conjunctive Concept Characterization.
Proceedings of the Methodologies for Intelligent Systems, 1988

Improving Knowledge-Based System Performance by Experience.
Proceedings of the Third European Working Session on Learning, 1988


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