| Short-term traffic flow forecasting: An experimental comparison of time-series analysis and supervised learning M Lippi, M Bertini, P Frasconi IEEE Transactions on Intelligent Transportation Systems 14 (2), 871-882, 2013 | 815 | 2013 |
| Attention in natural language processing A Galassi, M Lippi, P Torroni IEEE transactions on neural networks and learning systems 32 (10), 4291-4308, 2020 | 704 | 2020 |
| Argumentation mining: State of the art and emerging trends M Lippi, P Torroni ACM Transactions on Internet Technology (TOIT) 16 (2), 1-25, 2016 | 565 | 2016 |
| CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service M Lippi, P Pałka, G Contissa, F Lagioia, HW Micklitz, G Sartor, P Torroni Artificial Intelligence and Law 27, 117-139, 2019 | 208 | 2019 |
| Context-independent claim detection for argument mining M Lippi, P Torroni Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 187 | 2015 |
| MARGOT: A web server for argumentation mining M Lippi, P Torroni Expert Systems with Applications 65, 292-303, 2016 | 113 | 2016 |
| Argument mining: A machine learning perspective M Lippi, P Torroni Theory and Applications of Formal Argumentation: Third International …, 2015 | 100 | 2015 |
| Argument mining from speech: Detecting claims in political debates M Lippi, P Torroni Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 98 | 2016 |
| Natural language statistical features of LSTM-generated texts M Lippi, MA Montemurro, M Degli Esposti, G Cristadoro IEEE Transactions on Neural Networks and Learning Systems 30 (11), 3326-3337, 2019 | 83 | 2019 |
| MetalDetector v2. 0: predicting the geometry of metal binding sites from protein sequence A Passerini, M Lippi, P Frasconi Nucleic acids research 39 (suppl_2), W288-W292, 2011 | 80 | 2011 |
| Prediction of protein β-residue contacts by Markov logic networks with grounding-specific weights M Lippi, P Frasconi Bioinformatics 25 (18), 2326-2333, 2009 | 79 | 2009 |
| Claudette meets GDPR: Automating the evaluation of privacy policies using artificial intelligence G Contissa, K Docter, F Lagioia, M Lippi, HW Micklitz, P Pałka, G Sartor, ... Available at SSRN 3208596, 2018 | 70 | 2018 |
| MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence M Lippi, A Passerini, M Punta, B Rost, P Frasconi Bioinformatics 24 (18), 2094-2095, 2008 | 67 | 2008 |
| Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy W Shi, M Punta, J Bohon, JM Sauder, R D'Mello, M Sullivan, J Toomey, ... Genome Research 21 (6), 898-907, 2011 | 61 | 2011 |
| Evaluating origin–destination matrices obtained from CDR data M Mamei, N Bicocchi, M Lippi, S Mariani, F Zambonelli Sensors 19 (20), 4470, 2019 | 58 | 2019 |
| Collective traffic forecasting M Lippi, M Bertini, P Frasconi Joint European conference on machine learning and knowledge discovery in …, 2010 | 54 | 2010 |
| An argumentation-based perspective over the social IoT M Lippi, M Mamei, S Mariani, F Zambonelli IEEE Internet of Things Journal 5 (4), 2537-2547, 2017 | 51 | 2017 |
| Argument mining on clinical trials T Mayer, E Cabrio, M Lippi, P Torroni, S Villata Computational Models of Argument, 137-148, 2018 | 50 | 2018 |
| Comparing deep learning and statistical methods in forecasting crowd distribution from aggregated mobile phone data A Cecaj, M Lippi, M Mamei, F Zambonelli Applied Sciences 10 (18), 6580, 2020 | 47 | 2020 |
| Argumentative link prediction using residual networks and multi-objective learning A Galassi, M Lippi, P Torroni Proceedings of the 5th Workshop on Argument Mining, 1-10, 2018 | 45 | 2018 |
