Marco Lippi

Orcid: 0000-0002-9663-1071

Affiliations:
  • University of Modena and Reggio Emilia (Unimore), Italy
  • Università degli Studi di Bologna, Italy (former)


According to our database1, Marco Lippi authored at least 94 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns.
CoRR, 2024

No More Trade-Offs. GPT and Fully Informative Privacy Policies.
CoRR, 2024

Bearing Fault Detection and Recognition From Supply Currents With Decision Trees.
IEEE Access, 2024

2023
Explaining population variation after the 2016 Central Italy earthquake using Call Data Records and Twitter.
Soc. Netw. Anal. Min., December, 2023

Enabling causality learning in smart factories with hierarchical digital twins.
Comput. Ind., June, 2023

A General Pipeline for Online Gesture Recognition in Human-Robot Interaction.
IEEE Trans. Hum. Mach. Syst., April, 2023

Multi-Task Attentive Residual Networks for Argument Mining.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

The Challenge of Learning Symbolic Representations.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Setup Time Prediction Using Machine Learning Algorithms: A Real-World Case Study.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023

Cross-Load Generalization of Bearing Fault Recognition with Decision Trees.
Proceedings of the 7th International Conference on System Reliability and Safety, 2023

2022
Detecting and explaining unfairness in consumer contracts through memory networks.
Artif. Intell. Law, 2022

Self-Development and Causality in Intelligent Environments.
Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

AMICA: An Argumentative Search Engine for COVID-19 Literature.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Individual and Collective Self-Development: Concepts and Challenges.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

Detection of Unsorted Metal Components for Robot Bin Picking Using an Inexpensive RGB-D Sensor.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
Attention in Natural Language Processing.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Data Driven Approach to Match Demand and Supply for Public Transport Planning.
IEEE Trans. Intell. Transp. Syst., 2021

MemBERT: Injecting Unstructured Knowledge into BERT.
CoRR, 2021

Tree-Constrained Graph Neural Networks For Argument Mining.
CoRR, 2021

Individual and Collective Autonomous Development.
CoRR, 2021

Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes?
Cogn. Sci., 2021

Developing a "Sense of Agency" in IoT Systems: Preliminary Experiments in a Smart Home Scenario.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Activity Imputation of Shared e-Bikes Travels in Urban Areas.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Assessing the Cross-Market Generalization Capability of the CLAUDETTE System.
Proceedings of the Legal Knowledge and Information Systems, 2021

Lead Time Forecasting with Machine Learning Techniques for a Pharmaceutical Supply Chain.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

A Corpus for Multilingual Analysis of Online Terms of Service.
Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020
Machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers.
IEEE Trans. Intell. Transp. Syst., 2020

AI reflections in 2019.
Nat. Mach. Intell., 2020

The Force Awakens: Artificial Intelligence for Consumer Law.
J. Artif. Intell. Res., 2020

Parallelizing Machine Learning as a service for the end-user.
Future Gener. Comput. Syst., 2020

Memory networks for consumer protection: unfairness exposed.
CoRR, 2020

Texture analysis and multiple-instance learning for the classification of malignant lymphomas.
Comput. Methods Programs Biomed., 2020

Forecasting Crowd Distribution in Smart Cities.
Proceedings of the 2020 IEEE International Conference on Sensing, 2020

Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool.
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

Cross-lingual Annotation Projection in Legal Texts.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Natural Language Statistical Features of LSTM-Generated Texts.
IEEE Trans. Neural Networks Learn. Syst., 2019

Evaluating Origin-Destination Matrices Obtained from CDR Data.
Sensors, 2019

Consumer protection requires artificial intelligence.
Nat. Mach. Intell., 2019

Editorial: Statistical Relational Artificial Intelligence.
Frontiers Robotics AI, 2019

Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
Frontiers Big Data, 2019

Counts-of-counts similarity for prediction and search in relational data.
Data Min. Knowl. Discov., 2019

Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning.
CoRR, 2019

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing.
CoRR, 2019

CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service.
Artif. Intell. Law, 2019

Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts.
Proceedings of the Legal Knowledge and Information Systems, 2019

Argumentation-Based Coordination in IoT: A Speaking Objects Proof-of-Concept.
Proceedings of the Internet and Distributed Computing Systems, 2019

GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism.
Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019


Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey.
Proceedings of the Guide to Mobile Data Analytics in Refugee Scenarios, 2019

2018
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris.
IEEE Trans. Games, 2018

An Argumentation-Based Perspective Over the Social IoT.
IEEE Internet Things J., 2018

Distributed Speaking Objects: A Case for Massive Multiagent Systems.
Proceedings of the Massively Multi-Agent Systems II - International Workshop, 2018

Automated Processing of Privacy Policies Under the EU General Data Protection Regulation.
Proceedings of the Legal Knowledge and Information Systems, 2018

Towards Consumer-Empowering Artificial Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Predict Cellular Network Traffic with Markov Logic.
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

Argument Mining on Clinical Trials.
Proceedings of the Computational Models of Argument, 2018

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining.
Proceedings of the 5th Workshop on Argument Mining, 2018

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning.
Proceedings of the 5th Workshop on Argument Mining, 2018

2017
Argumentation in Social Media.
ACM Trans. Internet Techn., 2017

Automated Detection of Unfair Clauses in Online Consumer Contracts.
Proceedings of the Legal Knowledge and Information Systems, 2017

Coordinating Distributed Speaking Objects.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Driving Behaviour Clustering For Realistic Traffic Micro-Simulators.
Proceedings of the European Conference on Modelling and Simulation, 2017

Claim Detection in Judgments of the EU Court of Justice.
Proceedings of the AI Approaches to the Complexity of Legal Systems, 2017

2016
Argumentation Mining: State of the Art and Emerging Trends.
ACM Trans. Internet Techn., 2016

Statistical Relational Learning for Game Theory.
IEEE Trans. Comput. Intell. AI Games, 2016

MARGOT: A web server for argumentation mining.
Expert Syst. Appl., 2016

Semantic video labeling by developmental visual agents.
Comput. Vis. Image Underst., 2016

Optimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search.
AI Commun., 2016

Constraint Detection in Natural Language Problem Descriptions.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Reasoning with Deep Learning: an Open Challenge.
Proceedings of the AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-generation Intelligent Agents 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), 2016

Argument Mining from Speech: Detecting Claims in Political Debates.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Argument Mining: A Machine Learning Perspective.
Proceedings of the Theory and Applications of Formal Argumentation, 2015

Context-Independent Claim Detection for Argument Mining.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

En Plein Air Visual Agents.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
Markov Logic Networks for Optical Chemical Structure Recognition.
J. Chem. Inf. Model., 2014

Learning to see like children: proof of concept.
CoRR, 2014

On-Line Video Motion Estimation by Invariant Receptive Inputs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning.
IEEE Trans. Intell. Transp. Syst., 2013

Type Extension Trees for feature construction and learning in relational domains.
Artif. Intell., 2013

Information-Based Learning of Deep Architectures for Feature Extraction.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

On-Line Laplacian One-Class Support Vector Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Variational Foundations of Online Backpropagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Predicting Metal-Binding Sites from Protein Sequence.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

Efficient Single Frontier Bidirectional Search.
Proceedings of the Fifth Annual Symposium on Combinatorial Search, 2012

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Information Theoretic Learning for Pixel-Based Visual Agents.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.
Nucleic Acids Res., 2011

Relational information gain.
Mach. Learn., 2011

Computational models for short-term prediction of the stock market.
Intelligenza Artificiale, 2011

2010
Collective Traffic Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights.
Bioinform., 2009

2008
MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
Bioinform., 2008

A semiparametric generative model for efficient structured-output supervised learning.
Ann. Math. Artif. Intell., 2008


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