Markov Logic Improves Protein β-Partners Prediction. - Marco Lippi 001; Paolo Frasconi (MLG@ICML, 2008)

A semiparametric generative model for efficient structured-output supervised learning. - Fabrizio Costa; Andrea Passerini; Marco Lippi 001; Paolo Frasconi (Ann. Math. Artif. Intell., 2008)

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. - Marco Lippi 001; Andrea Passerini; Marco Punta; Burkhard Rost; Paolo Frasconi (Bioinform., 2008)

Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. - Marco Lippi 001; Paolo Frasconi (Bioinform., 2009)

Collective Traffic Forecasting. - Marco Lippi 001; Matteo Bertini; Paolo Frasconi (ECML/PKDD (2), 2010)

Computational models for short-term prediction of the stock market. - Lorenzo Menconi; Marco Gori; Marco Lippi 001 (Intelligenza Artificiale, 2011)

Relational information gain. - Marco Lippi 001; Manfred Jaeger; Paolo Frasconi; Andrea Passerini (Mach. Learn., 2011)

MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. - Andrea Passerini; Marco Lippi 001; Paolo Frasconi (Nucleic Acids Res., 2011)

Information Theoretic Learning for Pixel-Based Visual Agents. - Marco Gori; Stefano Melacci; Marco Lippi 001; Marco Maggini (ECCV (6), 2012)

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. - Marco Lippi 001; Andrea Passerini; Marco Punta; Paolo Frasconi (ECML/PKDD (2), 2012)

Efficient Single Frontier Bidirectional Search. - Marco Lippi 001; Marco Ernandes; Ariel Felner (SOCS, 2012)

Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines. - Marco Lippi 001; Lorenzo Menconi; Marco Gori (WIRN, 2012)

Predicting Metal-Binding Sites from Protein Sequence. - Andrea Passerini; Marco Lippi 001; Paolo Frasconi (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Variational Foundations of Online Backpropagation. - Salvatore Frandina; Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (ICANN, 2013)

On-Line Laplacian One-Class Support Vector Machines. - Salvatore Frandina; Marco Lippi 001; Marco Maggini; Stefano Melacci (ICANN, 2013)

Information-Based Learning of Deep Architectures for Feature Extraction. - Stefano Melacci; Marco Lippi 001; Marco Gori; Marco Maggini (ICIAP (2), 2013)

Type Extension Trees for feature construction and learning in relational domains. - Manfred Jaeger; Marco Lippi 001; Andrea Passerini; Paolo Frasconi (Artif. Intell., 2013)

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. - Marco Lippi 001; Matteo Bertini; Paolo Frasconi (IEEE Trans. Intell. Transp. Syst., 2013)

On-Line Video Motion Estimation by Invariant Receptive Inputs. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (CVPR Workshops, 2014)

Learning to see like children: proof of concept. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (CoRR, 2014)

Markov Logic Networks for Optical Chemical Structure Recognition. - Paolo Frasconi; Francesco Gabbrielli; Marco Lippi 001; Simone Marinai (J. Chem. Inf. Model., 2014)

En Plein Air Visual Agents. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci; Marcello Pelillo (ICIAP (2), 2015)

Context-Independent Claim Detection for Argument Mining. - Marco Lippi 001; Paolo Torroni (IJCAI, 2015)

Argument Mining: A Machine Learning Perspective. - Marco Lippi 001; Paolo Torroni (TAFA, 2015)

Argument Mining from Speech: Detecting Claims in Political Debates. - Marco Lippi 001; Paolo Torroni (AAAI, 2016)

Reasoning with Deep Learning: an Open Challenge. - Marco Lippi 001 (URANIA@AI*IA, 2016)

Constraint Detection in Natural Language Problem Descriptions. - Zeynep Kiziltan; Marco Lippi 001; Paolo Torroni (IJCAI, 2016)

Optimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search. - Marco Lippi 001; Marco Ernandes; Ariel Felner (AI Commun., 2016)

Semantic video labeling by developmental visual agents. - Marco Gori; Marco Lippi 001; Marco Maggini; Stefano Melacci (Comput. Vis. Image Underst., 2016)

MARGOT: A web server for argumentation mining. - Marco Lippi 001; Paolo Torroni (Expert Syst. Appl., 2016)

Statistical Relational Learning for Game Theory. - Marco Lippi 001 (IEEE Trans. Comput. Intell. AI Games, 2016)

Argumentation Mining: State of the Art and Emerging Trends. - Marco Lippi 001; Paolo Torroni (ACM Trans. Internet Techn., 2016)

Claim Detection in Judgments of the EU Court of Justice. - Marco Lippi 001; Francesca Lagioia; Giuseppe Contissa; Giovanni Sartor; Paolo Torroni (AICOL, 2017)

Driving Behaviour Clustering For Realistic Traffic Micro-Simulators. - Alessandro Petraro; Federico Caselli; Michela Milano; Marco Lippi 001 (ECMS, 2017)

Coordinating Distributed Speaking Objects. - Marco Lippi 001; Marco Mamei; Stefano Mariani 001; Franco Zambonelli (ICDCS, 2017)

Automated Detection of Unfair Clauses in Online Consumer Contracts. - Marco Lippi 001; Przemyslaw Palka; Giuseppe Contissa; Francesca Lagioia; Hans-Wolfgang Micklitz; Yannis Panagis; Giovanni Sartor; Paolo Torroni (JURIX, 2017)

Argumentation in Social Media. - Iryna Gurevych; Marco Lippi 001; Paolo Torroni (ACM Trans. Internet Techn., 2017)

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning. - Andrea Galassi; Marco Lippi 001; Paolo Torroni (ArgMining@EMNLP, 2018)

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining. - Marco Passon; Marco Lippi 001; Giuseppe Serra 001; Carlo Tasso (ArgMining@EMNLP, 2018)

Argument Mining on Clinical Trials. - Tobias Mayer 002; Elena Cabrio; Marco Lippi 001; Paolo Torroni; Serena Villata (COMMA, 2018)

Predict Cellular Network Traffic with Markov Logic. - Marco Lippi 001; Marco Mamei; Franco Zambonelli (ATT@IJCAI, 2018)

Towards Consumer-Empowering Artificial Intelligence. - Giuseppe Contissa; Francesca Lagioia; Marco Lippi 001; Hans-Wolfgang Micklitz; Przemyslaw Palka; Giovanni Sartor; Paolo Torroni (IJCAI, 2018)

Automated Processing of Privacy Policies Under the EU General Data Protection Regulation. - Giuseppe Contissa; Koen Docter; Francesca Lagioia; Marco Lippi 001; Hans-Wolfgang Micklitz; Przemyslaw Palka; Giovanni Sartor; Paolo Torroni (JURIX, 2018)

Distributed Speaking Objects: A Case for Massive Multiagent Systems. - Marco Lippi 001; Marco Mamei; Stefano Mariani 001; Franco Zambonelli (MMAS, 2018)

An Argumentation-Based Perspective Over the Social IoT. - Marco Lippi 001; Marco Mamei; Stefano Mariani 001; Franco Zambonelli (IEEE Internet Things J., 2018)

Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris. - Federico Chesani; Andrea Galassi; Marco Lippi 001; Paola Mello (IEEE Trans. Games, 2018)

Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey. - Marco Mamei; Seyit Mümin Cilasun; Marco Lippi 001; Francesca Pancotto; Semih Tümen (Data for Refugees Challenge, 2019)

Policy Implications of the D4R Challenge. - Albert Ali Salah; M. Tarik Altuncu; Selim Balcisoy; Erika Frydenlund; Marco Mamei; Mehmet Ali Akyol; Kerem Yavuz Arslanli; Ivon Bensason; Christine Boshuijzen-van Burken; Paolo Bosetti; Jeremy Boy; Tugba Bozcaga; et al. (Data for Refugees Challenge, 2019)

GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism. - Ruta Liepina; Giuseppe Contissa; Kasper Drazewski; Francesca Lagioia; Marco Lippi 001; Hans-Wolfgang Micklitz; Przemyslaw Palka; Giovanni Sartor; Paolo Torroni (ASAIL@ICAIL, 2019)

Argumentation-Based Coordination in IoT: A Speaking Objects Proof-of-Concept. - Stefano Mariani 001; Andrea Bicego; Marco Lippi 001; Marco Mamei; Franco Zambonelli (IDCS, 2019)

Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts. - Francesca Lagioia; Federico Ruggeri; Kasper Drazewski; Marco Lippi 001; Hans-Wolfgang Micklitz; Paolo Torroni; Giovanni Sartor (JURIX, 2019)

CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service. - Marco Lippi 001; Przemyslaw Palka; Giuseppe Contissa; Francesca Lagioia; Hans-Wolfgang Micklitz; Giovanni Sartor; Paolo Torroni (Artif. Intell. Law, 2019)

Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing. - Andrea Galassi; Marco Lippi 001; Paolo Torroni (CoRR, 2019)

Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. - Andrea Galassi; Kristian Kersting; Marco Lippi 001; Xiaoting Shao; Paolo Torroni (CoRR, 2019)

Counts-of-counts similarity for prediction and search in relational data. - Manfred Jaeger; Marco Lippi 001; Giovanni Pellegrini; Andrea Passerini (Data Min. Knowl. Discov., 2019)

Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning. - Andrea Galassi; Kristian Kersting; Marco Lippi 001; Xiaoting Shao; Paolo Torroni (Frontiers Big Data, 2019)

Editorial: Statistical Relational Artificial Intelligence. - Fabrizio Riguzzi; Kristian Kersting; Marco Lippi 001; Sriraam Natarajan (Frontiers Robotics AI, 2019)

Consumer protection requires artificial intelligence. - Marco Lippi 001; Giuseppe Contissa; Francesca Lagioia; Hans-Wolfgang Micklitz; Przemyslaw Palka; Giovanni Sartor; Paolo Torroni (Nat. Mach. Intell., 2019)

Evaluating Origin-Destination Matrices Obtained from CDR Data. - Marco Mamei; Nicola Bicocchi; Marco Lippi 001; Stefano Mariani 001; Franco Zambonelli (Sensors, 2019)

Natural Language Statistical Features of LSTM-Generated Texts. - Marco Lippi 001; Marcelo A. Montemurro; Mirko Degli Esposti; Giampaolo Cristadoro (IEEE Trans. Neural Networks Learn. Syst., 2019)

Cross-lingual Annotation Projection in Legal Texts. - Andrea Galassi; Kasper Drazewski; Marco Lippi 001; Paolo Torroni (COLING, 2020)

Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool. - Ruta Liepina; Federico Ruggeri; Francesca Lagioia; Marco Lippi 001; Kasper Drazewski; Paolo Torroni (NLLP@KDD, 2020)

Forecasting Crowd Distribution in Smart Cities. - Alket Cecaj; Marco Lippi 001; Marco Mamei; Franco Zambonelli (SECON Workshops, 2020)

Texture analysis and multiple-instance learning for the classification of malignant lymphomas. - Marco Lippi 001; Stefania Gianotti; Angelo Fama; Massimiliano Casali; Elisa Barbolini; Angela Ferrari; Federica Fioroni; Mauro Iori; Stefano Luminari; Massimo Menga; Francesco Merli; Valeria Trojani; et al. (Comput. Methods Programs Biomed., 2020)

Memory networks for consumer protection: unfairness exposed. - Federico Ruggeri; Francesca Lagioia; Marco Lippi 001; Paolo Torroni (CoRR, 2020)

Parallelizing Machine Learning as a service for the end-user. - Daniela Loreti; Marco Lippi 001; Paolo Torroni (Future Gener. Comput. Syst., 2020)

The Force Awakens: Artificial Intelligence for Consumer Law. - Marco Lippi 001; Giuseppe Contissa; Agnieszka Jablonowska; Francesca Lagioia; Hans-Wolfgang Micklitz; Przemyslaw Palka; Giovanni Sartor; Paolo Torroni (J. Artif. Intell. Res., 2020)

AI reflections in 2019. - Alexander S. Rich; Cynthia Rudin; David M. P. Jacoby; Robin Freeman; Oliver R. Wearn; Henry Shevlin; Kanta Dihal; Seán S. ÓhÉigeartaigh; James Butcher; Marco Lippi 001; Przemyslaw Palka; Paolo Torroni; et al. (Nat. Mach. Intell., 2020)

Machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers. - Natalia Selini Hadjidimitriou; Marco Lippi 001; Mauro Dell'Amico; Alexander Skiera (IEEE Trans. Intell. Transp. Syst., 2020)

A Corpus for Multilingual Analysis of Online Terms of Service. - Kasper Drawzeski; Andrea Galassi; Agnieszka Jablonowska; Francesca Lagioia; Marco Lippi 001; Hans-Wolfgang Micklitz; Giovanni Sartor; Giacomo Tagiuri; Paolo Torroni (NLLP@EMNLP, 2021)

Lead Time Forecasting with Machine Learning Techniques for a Pharmaceutical Supply Chain. - Maiza Biazon de Oliveira; Giorgio Zucchi; Marco Lippi 001; Douglas Farias Cordeiro; Núbia Rosa da Silva; Manuel Iori (ICEIS (1), 2021)

Assessing the Cross-Market Generalization Capability of the CLAUDETTE System. - Agnieszka Jablonowska; Francesca Lagioia; Marco Lippi 001; Hans-Wolfgang Micklitz; Giovanni Sartor; Giacomo Tagiuri (JURIX, 2021)

Activity Imputation of Shared e-Bikes Travels in Urban Areas. - Natalia Selini Hadjidimitriou; Marco Lippi 001; Marco Mamei (LOD, 2021)

Developing a "Sense of Agency" in IoT Systems: Preliminary Experiments in a Smart Home Scenario. - Marco Lippi 001; Stefano Mariani 001; Franco Zambonelli (PerCom Workshops, 2021)

Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes? - Andrea De Cesarei; Shari Cavicchi; Giampaolo Cristadoro; Marco Lippi 001 (Cogn. Sci., 2021)

Individual and Collective Autonomous Development. - Marco Lippi 001; Stefano Mariani 001; Matteo Martinelli; Franco Zambonelli (CoRR, 2021)

Tree-Constrained Graph Neural Networks For Argument Mining. - Federico Ruggeri; Marco Lippi 001; Paolo Torroni (CoRR, 2021)

MemBERT: Injecting Unstructured Knowledge into BERT. - Federico Ruggeri; Marco Lippi 001; Paolo Torroni (CoRR, 2021)

A Data Driven Approach to Match Demand and Supply for Public Transport Planning. - Natalia Selini Hadjidimitriou; Marco Lippi 001; Marco Mamei (IEEE Trans. Intell. Transp. Syst., 2021)

Attention in Natural Language Processing. - Andrea Galassi; Marco Lippi 001; Paolo Torroni (IEEE Trans. Neural Networks Learn. Syst., 2021)

Detection of Unsorted Metal Components for Robot Bin Picking Using an Inexpensive RGB-D Sensor. - Riccardo Monica; Alessio Saccuti; Jacopo Aleotti; Marco Lippi 001 (ETFA, 2022)

Individual and Collective Self-Development: Concepts and Challenges. - Marco Lippi 001; Stefano Mariani 001; Matteo Martinelli; Franco Zambonelli (FedCSIS, 2022)

AMICA: An Argumentative Search Engine for COVID-19 Literature. - Marco Lippi 001; Francesco Antici; Gianfranco Brambilla; Evaristo Cisbani; Andrea Galassi; Daniele Giansanti; Fabio Magurano; Antonella Rosi; Federico Ruggeri; Paolo Torroni (IJCAI, 2022)

Self-Development and Causality in Intelligent Environments. - Matteo Martinelli; Stefano Mariani 001; Marco Lippi 001; Franco Zambonelli (Intelligent Environments (Workshops), 2022)

Detecting and explaining unfairness in consumer contracts through memory networks. - Federico Ruggeri; Francesca Lagioia; Marco Lippi 001; Paolo Torroni (Artif. Intell. Law, 2022)

Cross-Load Generalization of Bearing Fault Recognition with Decision Trees. - Giovanni Briglia; Fabio Immovilli; Marco Cocconcelli; Marco Lippi 001 (ICSRS, 2023)

Setup Time Prediction Using Machine Learning Algorithms: A Real-World Case Study. - Alberto Locatelli; Manuel Iori; Marco Lippi 001; Marco Locatelli 001 (APMS (3), 2023)

The Challenge of Learning Symbolic Representations. - Luca Salvatore Lorello; Marco Lippi 001 (NeSy, 2023)

Multi-Task Attentive Residual Networks for Argument Mining. - Andrea Galassi; Marco Lippi 001; Paolo Torroni (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A General Pipeline for Online Gesture Recognition in Human-Robot Interaction. - Valeria Villani; Cristian Secchi; Marco Lippi 001; Lorenzo Sabattini (IEEE Trans. Hum. Mach. Syst., 2023)

Enabling causality learning in smart factories with hierarchical digital twins. - Marco Lippi 001; Matteo Martinelli; Marco Picone; Franco Zambonelli (Comput. Ind., 2023)

Explaining population variation after the 2016 Central Italy earthquake using Call Data Records and Twitter. - Natalia Selini Hadjidimitriou; Marco Lippi 001; Marco Mamei (Soc. Netw. Anal. Min., 2023)

Continual Learning for Unsupervised Concept Bottleneck Discovery. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (CoLLAs, 2024)

Hierarchical Digital Twin Ecosystem for Industrial Manufacturing Scenarios. - Matteo Martinelli; Jingxi Zhang; Ann-Kathrin Splettstößer; Marco Picone; Marco Lippi 001; Andreas Wortmann 001 (SEAA, 2024)

Towards Automatically Filling Questionnaires from Clinical Records with Large Language Models. - Valeria Nardoni; Marco Lippi 001; Giulia Hyeraci; Martina Maccari; Amirreza Dehghan Tarazjani; Gianni Virgili; Rosa Gini; Simone Marinai (NL4AI@AI*IA, 2024)

Improving Reinforcement Learning-Based Autonomous Agents with Causal Models. - Giovanni Briglia; Marco Lippi 001; Stefano Mariani 001; Franco Zambonelli (PRIMA, 2024)

Neuro-Symbolic Artificial Intelligence for Safety Engineering. - Laura Carnevali; Marco Lippi 001 (SAFECOMP (Workshops), 2024)

Short-Term Forecasting of Energy Consumption and Production in Local Energy Communities. - Natalia Selini Hadjidimitriou; Marco Mamei; Marco Lippi 001; Raffaele Nastro; Thorsten Koch (WETICE, 2024)

Bearing Fault Detection and Recognition From Supply Currents With Decision Trees. - Giovanni Briglia; Fabio Immovilli; Marco Cocconcelli; Marco Lippi 001 (IEEE Access, 2024)

No More Trade-Offs. GPT and Fully Informative Privacy Policies. - Przemyslaw Palka; Marco Lippi 001; Francesca Lagioia; Ruta Liepina; Giovanni Sartor (CoRR, 2024)

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (IJCAI, 2025)

Autonomous Mental Development at the Individual and Collective Levels: Concept and Challenges. - Marco Lippi 001; Stefano Mariani 001; Matteo Martinelli; Franco Zambonelli (IEEE Access, 2025)

Data-Driven Adaptation of Smart Grids With Hierarchical Digital Twins. - Natalia Selini Hadjidimitriou; Marco Lippi 001; Marco Mamei; Raffaele Nastro; Marco Picone; Fabio D'Andreagiovanni (IEEE Pervasive Comput., 2025)

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning. - Luca Salvatore Lorello; Nikolaos Manginas; Marco Lippi 001; Stefano Melacci (CoRR, 2025)

The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns. - Luca Salvatore Lorello; Marco Lippi 001; Stefano Melacci (Mach. Learn., 2025)

Unfair clause detection in terms of service across multiple languages. - Andrea Galassi; Francesca Lagioia; Agnieszka Jablonowska; Marco Lippi 001 (Artif. Intell. Law, 2025)

Towards Reliable Retrieval in RAG Systems for Large Legal Datasets. - Markus Reuter; Tobias Lingenberg; Ruta Liepina; Francesca Lagioia; Marco Lippi 001; Giovanni Sartor; Andrea Passerini; Burcu Sayin (CoRR, 2025)