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Marco Lippi 0001
Person information
- affiliation: University of Modena and Reggio Emilia (Unimore), Italy
- affiliation (former): Università degli Studi di Bologna, Italy
Other persons with the same name
- Marco Lippi 0002 — Einaudi Institute for Economics and Finance
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2020 – today
- 2024
- [j39]Giovanni Briglia, Fabio Immovilli, Marco Cocconcelli, Marco Lippi:
Bearing Fault Detection and Recognition From Supply Currents With Decision Trees. IEEE Access 12: 12760-12770 (2024) - [c45]Laura Carnevali, Marco Lippi:
Neuro-Symbolic Artificial Intelligence for Safety Engineering. SAFECOMP (Workshops) 2024: 438-445 - [i14]Przemyslaw Palka, Marco Lippi, Francesca Lagioia, Ruta Liepina, Giovanni Sartor:
No More Trade-Offs. GPT and Fully Informative Privacy Policies. CoRR abs/2402.00013 (2024) - [i13]Luca Salvatore Lorello, Marco Lippi, Stefano Melacci:
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns. CoRR abs/2402.17431 (2024) - 2023
- [j38]Marco Lippi, Matteo Martinelli, Marco Picone, Franco Zambonelli:
Enabling causality learning in smart factories with hierarchical digital twins. Comput. Ind. 148: 103892 (2023) - [j37]Natalia Selini Hadjidimitriou, Marco Lippi, Marco Mamei:
Explaining population variation after the 2016 Central Italy earthquake using Call Data Records and Twitter. Soc. Netw. Anal. Min. 13(1): 140 (2023) - [j36]Andrea Galassi, Marco Lippi, Paolo Torroni:
Multi-Task Attentive Residual Networks for Argument Mining. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1877-1892 (2023) - [j35]Valeria Villani, Cristian Secchi, Marco Lippi, Lorenzo Sabattini:
A General Pipeline for Online Gesture Recognition in Human-Robot Interaction. IEEE Trans. Hum. Mach. Syst. 53(2): 315-324 (2023) - [c44]Giovanni Briglia, Fabio Immovilli, Marco Cocconcelli, Marco Lippi:
Cross-Load Generalization of Bearing Fault Recognition with Decision Trees. ICSRS 2023: 400-406 - [c43]Alberto Locatelli, Manuel Iori, Marco Lippi, Marco Locatelli:
Setup Time Prediction Using Machine Learning Algorithms: A Real-World Case Study. APMS (3) 2023: 707-721 - [c42]Luca Salvatore Lorello, Marco Lippi:
The Challenge of Learning Symbolic Representations. NeSy 2023: 44-61 - 2022
- [j34]Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni:
Detecting and explaining unfairness in consumer contracts through memory networks. Artif. Intell. Law 30(1): 59-92 (2022) - [c41]Riccardo Monica, Alessio Saccuti, Jacopo Aleotti, Marco Lippi:
Detection of Unsorted Metal Components for Robot Bin Picking Using an Inexpensive RGB-D Sensor. ETFA 2022: 1-8 - [c40]Marco Lippi, Stefano Mariani, Matteo Martinelli, Franco Zambonelli:
Individual and Collective Self-Development: Concepts and Challenges. FedCSIS 2022: 15-21 - [c39]Marco Lippi, Francesco Antici, Gianfranco Brambilla, Evaristo Cisbani, Andrea Galassi, Daniele Giansanti, Fabio Magurano, Antonella Rosi, Federico Ruggeri, Paolo Torroni:
AMICA: An Argumentative Search Engine for COVID-19 Literature. IJCAI 2022: 5932-5935 - [c38]Matteo Martinelli, Stefano Mariani, Marco Lippi, Franco Zambonelli:
Self-Development and Causality in Intelligent Environments. Intelligent Environments (Workshops) 2022: 248-257 - 2021
- [j33]Andrea De Cesarei, Shari Cavicchi, Giampaolo Cristadoro, Marco Lippi:
Do Humans and Deep Convolutional Neural Networks Use Visual Information Similarly for the Categorization of Natural Scenes? Cogn. Sci. 45(6) (2021) - [j32]Natalia Selini Hadjidimitriou, Marco Lippi, Marco Mamei:
A Data Driven Approach to Match Demand and Supply for Public Transport Planning. IEEE Trans. Intell. Transp. Syst. 22(10): 6384-6394 (2021) - [j31]Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention in Natural Language Processing. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4291-4308 (2021) - [c37]Kasper Drawzeski, Andrea Galassi, Agnieszka Jablonowska, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Giovanni Sartor, Giacomo Tagiuri, Paolo Torroni:
A Corpus for Multilingual Analysis of Online Terms of Service. NLLP@EMNLP 2021: 1-8 - [c36]Maiza Biazon de Oliveira, Giorgio Zucchi, Marco Lippi, Douglas Farias Cordeiro, Núbia Rosa da Silva, Manuel Iori:
Lead Time Forecasting with Machine Learning Techniques for a Pharmaceutical Supply Chain. ICEIS (1) 2021: 634-641 - [c35]Agnieszka Jablonowska, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Giovanni Sartor, Giacomo Tagiuri:
Assessing the Cross-Market Generalization Capability of the CLAUDETTE System. JURIX 2021: 62-67 - [c34]Natalia Selini Hadjidimitriou, Marco Lippi, Marco Mamei:
Activity Imputation of Shared e-Bikes Travels in Urban Areas. LOD 2021: 442-456 - [c33]Marco Lippi, Stefano Mariani, Franco Zambonelli:
Developing a "Sense of Agency" in IoT Systems: Preliminary Experiments in a Smart Home Scenario. PerCom Workshops 2021: 44-49 - [i12]Andrea Galassi, Marco Lippi, Paolo Torroni:
Multi-Task Attentive Residual Networks for Argument Mining. CoRR abs/2102.12227 (2021) - [i11]Marco Lippi, Stefano Mariani, Matteo Martinelli, Franco Zambonelli:
Individual and Collective Autonomous Development. CoRR abs/2109.11223 (2021) - [i10]Federico Ruggeri, Marco Lippi, Paolo Torroni:
Tree-Constrained Graph Neural Networks For Argument Mining. CoRR abs/2110.00124 (2021) - [i9]Federico Ruggeri, Marco Lippi, Paolo Torroni:
MemBERT: Injecting Unstructured Knowledge into BERT. CoRR abs/2110.00125 (2021) - 2020
- [j30]Marco Lippi, Stefania Gianotti, Angelo Fama, Massimiliano Casali, Elisa Barbolini, Angela Ferrari, Federica Fioroni, Mauro Iori, Stefano Luminari, Massimo Menga, Francesco Merli, Valeria Trojani, Annibale Versari, Magda Zanelli, Marco Bertolini:
Texture analysis and multiple-instance learning for the classification of malignant lymphomas. Comput. Methods Programs Biomed. 185: 105153 (2020) - [j29]Daniela Loreti, Marco Lippi, Paolo Torroni:
Parallelizing Machine Learning as a service for the end-user. Future Gener. Comput. Syst. 105: 275-286 (2020) - [j28]Marco Lippi, Giuseppe Contissa, Agnieszka Jablonowska, Francesca Lagioia, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
The Force Awakens: Artificial Intelligence for Consumer Law. J. Artif. Intell. Res. 67: 169-190 (2020) - [j27]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, Przemyslaw Palka, Paolo Torroni, Shannon Wongvibulsin, Edmon Begoli, Gisbert Schneider, Stephen Cave, Mona Sloane, Emanuel Moss, Iyad Rahwan, Ken Goldberg, David Howard, Luciano Floridi, Jack Stilgoe:
AI reflections in 2019. Nat. Mach. Intell. 2(1): 2-9 (2020) - [j26]Natalia Selini Hadjidimitriou, Marco Lippi, Mauro Dell'Amico, Alexander Skiera:
Machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers. IEEE Trans. Intell. Transp. Syst. 21(10): 4308-4317 (2020) - [c32]Andrea Galassi, Kasper Drazewski, Marco Lippi, Paolo Torroni:
Cross-lingual Annotation Projection in Legal Texts. COLING 2020: 915-926 - [c31]Ruta Liepina, Federico Ruggeri, Francesca Lagioia, Marco Lippi, Kasper Drazewski, Paolo Torroni:
Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool. NLLP@KDD 2020: 61-64 - [c30]Alket Cecaj, Marco Lippi, Marco Mamei, Franco Zambonelli:
Forecasting Crowd Distribution in Smart Cities. SECON Workshops 2020: 1-6 - [i8]Daniela Loreti, Marco Lippi, Paolo Torroni:
Parallelizing Machine Learning as a Service for the End-User. CoRR abs/2005.14080 (2020) - [i7]Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni:
Memory networks for consumer protection: unfairness exposed. CoRR abs/2008.07346 (2020)
2010 – 2019
- 2019
- [j25]Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni:
CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service. Artif. Intell. Law 27(2): 117-139 (2019) - [j24]Manfred Jaeger, Marco Lippi, Giovanni Pellegrini, Andrea Passerini:
Counts-of-counts similarity for prediction and search in relational data. Data Min. Knowl. Discov. 33(5): 1254-1297 (2019) - [j23]Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni:
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning. Frontiers Big Data 2: 52 (2019) - [j22]Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan:
Editorial: Statistical Relational Artificial Intelligence. Frontiers Robotics AI 6: 68 (2019) - [j21]Marco Lippi, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
Consumer protection requires artificial intelligence. Nat. Mach. Intell. 1(4): 168-169 (2019) - [j20]Marco Mamei, Nicola Bicocchi, Marco Lippi, Stefano Mariani, Franco Zambonelli:
Evaluating Origin-Destination Matrices Obtained from CDR Data. Sensors 19(20): 4470 (2019) - [j19]Marco Lippi, Marcelo A. Montemurro, Mirko Degli Esposti, Giampaolo Cristadoro:
Natural Language Statistical Features of LSTM-Generated Texts. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3326-3337 (2019) - [c29]Ruta Liepina, Giuseppe Contissa, Kasper Drazewski, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism. ASAIL@ICAIL 2019 - [c28]Stefano Mariani, Andrea Bicego, Marco Lippi, Marco Mamei, Franco Zambonelli:
Argumentation-Based Coordination in IoT: A Speaking Objects Proof-of-Concept. IDCS 2019: 169-180 - [c27]Francesca Lagioia, Federico Ruggeri, Kasper Drazewski, Marco Lippi, Hans-Wolfgang Micklitz, Paolo Torroni, Giovanni Sartor:
Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts. JURIX 2019: 43-52 - [p2]Marco Mamei, Seyit Mümin Cilasun, Marco Lippi, Francesca Pancotto, Semih Tümen:
Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey. Data for Refugees Challenge 2019: 381-402 - [p1]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, Seyit Mümin Cilasun, Oguz Isik, Sibel Kalaycioglu, Ayse Seyyide Kaptaner, Ilker Kayi, Özgün Ozan Kiliç, Berat Kjamili, Huseyin Kucukali, Aaron Martin, Marco Lippi, Francesca Pancotto, Daniel Rhoads, Nur Sevencan, Ervin Sezgin, Albert Solé-Ribalta, Harald Sterly, Elif Sürer, Tugba Taskaya-Temizel, Semih Tümen, Ismail Uluturk:
Policy Implications of the D4R Challenge. Data for Refugees Challenge 2019: 477-495 - [i6]Andrea Galassi, Marco Lippi, Paolo Torroni:
Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing. CoRR abs/1902.02181 (2019) - [i5]Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao, Paolo Torroni:
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. CoRR abs/1905.09103 (2019) - 2018
- [j18]Marco Lippi, Marco Mamei, Stefano Mariani, Franco Zambonelli:
An Argumentation-Based Perspective Over the Social IoT. IEEE Internet Things J. 5(4): 2537-2547 (2018) - [j17]Federico Chesani, Andrea Galassi, Marco Lippi, Paola Mello:
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris. IEEE Trans. Games 10(4): 344-353 (2018) - [c26]Andrea Galassi, Marco Lippi, Paolo Torroni:
Argumentative Link Prediction using Residual Networks and Multi-Objective Learning. ArgMining@EMNLP 2018: 1-10 - [c25]Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso:
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining. ArgMining@EMNLP 2018: 35-39 - [c24]Tobias Mayer, Elena Cabrio, Marco Lippi, Paolo Torroni, Serena Villata:
Argument Mining on Clinical Trials. COMMA 2018: 137-148 - [c23]Marco Lippi, Marco Mamei, Franco Zambonelli:
Predict Cellular Network Traffic with Markov Logic. ATT@IJCAI 2018: 9-14 - [c22]Giuseppe Contissa, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
Towards Consumer-Empowering Artificial Intelligence. IJCAI 2018: 5150-5157 - [c21]Giuseppe Contissa, Koen Docter, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
Automated Processing of Privacy Policies Under the EU General Data Protection Regulation. JURIX 2018: 51-60 - [c20]Marco Lippi, Marco Mamei, Stefano Mariani, Franco Zambonelli:
Distributed Speaking Objects: A Case for Massive Multiagent Systems. MMAS 2018: 3-20 - [i4]Marco Lippi, Marcelo A. Montemurro, Mirko Degli Esposti, Giampaolo Cristadoro:
Natural Language Statistical Features of LSTM-generated Texts. CoRR abs/1804.04087 (2018) - [i3]Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni:
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service. CoRR abs/1805.01217 (2018) - [i2]Marco Passon, Marco Lippi, Giuseppe Serra, Carlo Tasso:
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining. CoRR abs/1809.08145 (2018) - 2017
- [j16]Iryna Gurevych, Marco Lippi, Paolo Torroni:
Argumentation in Social Media. ACM Trans. Internet Techn. 17(3): 23:1-23:2 (2017) - [c19]Marco Lippi, Francesca Lagioia, Giuseppe Contissa, Giovanni Sartor, Paolo Torroni:
Claim Detection in Judgments of the EU Court of Justice. AICOL 2017: 513-527 - [c18]Alessandro Petraro, Federico Caselli, Michela Milano, Marco Lippi:
Driving Behaviour Clustering For Realistic Traffic Micro-Simulators. ECMS 2017: 18-24 - [c17]Marco Lippi, Marco Mamei, Stefano Mariani, Franco Zambonelli:
Coordinating Distributed Speaking Objects. ICDCS 2017: 1949-1960 - [c16]Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Yannis Panagis, Giovanni Sartor, Paolo Torroni:
Automated Detection of Unfair Clauses in Online Consumer Contracts. JURIX 2017: 145-154 - 2016
- [j15]Marco Lippi, Marco Ernandes, Ariel Felner:
Optimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search. AI Commun. 29(4): 513-536 (2016) - [j14]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Semantic video labeling by developmental visual agents. Comput. Vis. Image Underst. 146: 9-26 (2016) - [j13]Marco Lippi, Paolo Torroni:
MARGOT: A web server for argumentation mining. Expert Syst. Appl. 65: 292-303 (2016) - [j12]Marco Lippi:
Statistical Relational Learning for Game Theory. IEEE Trans. Comput. Intell. AI Games 8(4): 412-425 (2016) - [j11]Marco Lippi, Paolo Torroni:
Argumentation Mining: State of the Art and Emerging Trends. ACM Trans. Internet Techn. 16(2): 10:1-10:25 (2016) - [c15]Marco Lippi, Paolo Torroni:
Argument Mining from Speech: Detecting Claims in Political Debates. AAAI 2016: 2979-2985 - [c14]Marco Lippi:
Reasoning with Deep Learning: an Open Challenge. URANIA@AI*IA 2016: 38-43 - [c13]Zeynep Kiziltan, Marco Lippi, Paolo Torroni:
Constraint Detection in Natural Language Problem Descriptions. IJCAI 2016: 744-750 - 2015
- [c12]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci, Marcello Pelillo:
En Plein Air Visual Agents. ICIAP (2) 2015: 697-709 - [c11]Marco Lippi, Paolo Torroni:
Context-Independent Claim Detection for Argument Mining. IJCAI 2015: 185-191 - [c10]Marco Lippi, Paolo Torroni:
Argument Mining: A Machine Learning Perspective. TAFA 2015: 163-176 - 2014
- [j10]Paolo Frasconi, Francesco Gabbrielli, Marco Lippi, Simone Marinai:
Markov Logic Networks for Optical Chemical Structure Recognition. J. Chem. Inf. Model. 54(8): 2380-2390 (2014) - [c9]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
On-Line Video Motion Estimation by Invariant Receptive Inputs. CVPR Workshops 2014: 726-731 - [i1]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Learning to see like children: proof of concept. CoRR abs/1408.2478 (2014) - 2013
- [j9]Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi:
Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. 204: 30-55 (2013) - [j8]Marco Lippi, Matteo Bertini, Paolo Frasconi:
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. IEEE Trans. Intell. Transp. Syst. 14(2): 871-882 (2013) - [c8]Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Variational Foundations of Online Backpropagation. ICANN 2013: 82-89 - [c7]Salvatore Frandina, Marco Lippi, Marco Maggini, Stefano Melacci:
On-Line Laplacian One-Class Support Vector Machines. ICANN 2013: 186-193 - [c6]Stefano Melacci, Marco Lippi, Marco Gori, Marco Maggini:
Information-Based Learning of Deep Architectures for Feature Extraction. ICIAP (2) 2013: 101-110 - 2012
- [j7]Andrea Passerini, Marco Lippi, Paolo Frasconi:
Predicting Metal-Binding Sites from Protein Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. 9(1): 203-213 (2012) - [c5]Marco Gori, Stefano Melacci, Marco Lippi, Marco Maggini:
Information Theoretic Learning for Pixel-Based Visual Agents. ECCV (6) 2012: 864-875 - [c4]Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi:
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) 2012: 854-857 - [c3]Marco Lippi, Marco Ernandes, Ariel Felner:
Efficient Single Frontier Bidirectional Search. SOCS 2012: 105-111 - [c2]Marco Lippi, Lorenzo Menconi, Marco Gori:
Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines. WIRN 2012: 51-58 - 2011
- [j6]Lorenzo Menconi, Marco Gori, Marco Lippi:
Computational models for short-term prediction of the stock market. Intelligenza Artificiale 5(2): 217-227 (2011) - [j5]Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini:
Relational information gain. Mach. Learn. 83(2): 219-239 (2011) - [j4]Andrea Passerini, Marco Lippi, Paolo Frasconi:
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Res. 39(Web-Server-Issue): 288-292 (2011) - 2010
- [c1]Marco Lippi, Matteo Bertini, Paolo Frasconi:
Collective Traffic Forecasting. ECML/PKDD (2) 2010: 259-273
2000 – 2009
- 2009
- [j3]Marco Lippi, Paolo Frasconi:
Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinform. 25(18): 2326-2333 (2009) - 2008
- [j2]Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi:
A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. 54(1-3): 207-222 (2008) - [j1]Marco Lippi, Andrea Passerini, Marco Punta, Burkhard Rost, Paolo Frasconi:
MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. Bioinform. 24(18): 2094-2095 (2008)
Coauthor Index
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