| A virtual player for “Who Wants to Be a Millionaire?” based on question answering P Molino, P Basile, C Santoro, P Lops, M de Gemmis, G Semeraro AI* IA 2013: Advances in Artificial Intelligence: XIIIth International …, 2013 | 5 | 2013 |
| An intriguing failing of convolutional neural networks and the coordconv solution R Liu, J Lehman, P Molino, F Petroski Such, E Frank, A Sergeev, ... Advances in neural information processing systems 31, 2018 | 937 | 2018 |
| Can a recommender system induce serendipitous encounters L Iaquinta, M de Gemmis, P Lops, G Semeraro, P Molino E-commerce, 1-17, 2010 | 50 | 2010 |
| Characterizing how Visual Question Answering models scale with the world E Bingham, P Molino, P Szerlip, F Obermeyer, ND Goodman | | |
| Collaborative multi-agent dialogue model training via reinforcement learning A Papangelis, YC Wang, P Molino, G Tur arXiv preprint arXiv:1907.05507, 2019 | 48 | 2019 |
| Commonsense and Semantic-Guided Navigation through Language in Embodied Environment. D Yu, C Khatri, A Papangelis, A Madotto, M Namazifar, J Huizinga, ... ViGIL@ NeurIPS, 2019 | 4 | 2019 |
| Controllable text generation with focused variation L Shu, A Papangelis, YC Wang, G Tur, H Xu, Z Feizollahi, B Liu, P Molino arXiv preprint arXiv:2009.12046, 2020 | 13 | 2020 |
| Cota: Improving the speed and accuracy of customer support through ranking and deep networks P Molino, H Zheng, YC Wang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 35 | 2018 |
| Declarative machine learning systems P Molino, C Ré Communications of the ACM 65 (1), 42-49, 2021 | 20 | 2021 |
| Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us. P Molino, C Ré Queue 19 (3), 46-76, 2021 | 6 | 2021 |
| Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19 S Colombo, E Ciliotta, L Marengo, H Liu, P Molino, P Ciuccarelli Interacting with Computers 35 (5), 650-665, 2023 | | 2023 |
| Distributed Representations for Semantic Matching in non-factoid Question Answering P Molino, L Aiello SIGIR 2014 Workshop on Semantic Matching in Information Retrieval 1204, 38-45, 2014 | 10 | 2014 |
| Distributional Semantics for Answer Re-ranking in Question Answering. P Molino, P Basile, A Caputo, P Lops, G Semeraro IIR, 100-103, 2013 | 1 | 2013 |
| Enhancing Recommendations on Uber Eats with Graph Convolutional Networks A Jain, P Molino | | |
| Exploiting distributional semantic models in question answering P Molino, P Basile, A Caputo, P Lops, G Semeraro 2012 IEEE Sixth International Conference on Semantic Computing, 146-153, 2012 | 21 | 2012 |
| Exploration based language learning for text-based games A Madotto, M Namazifar, J Huizinga, P Molino, A Ecoffet, H Zheng, ... arXiv preprint arXiv:2001.08868, 2020 | 30 | 2020 |
| Fast Fuzzy Inference in Octave P Molino, G Pio, C Mencar International Journal of Computational Intelligence Systems 6 (2), 307-317, 2013 | | 2013 |
| Flexibly-structured model for task-oriented dialogues L Shu, P Molino, M Namazifar, H Xu, B Liu, H Zheng, G Tur arXiv preprint arXiv:1908.02402, 2019 | 21 | 2019 |
| Flexibly-Structured Task-Oriented Dialogue Modeling L Shu, P Molino, M Namazifar, H Xu, B Liu, H Zheng, G Tur | | |
| Incorporating the structure of the belief state in end-to-end task-oriented dialogue systems L Shu, P Molino, M Namazifar, B Liu, H Xu, H Zheng, G Tur 2nd Workshop on Conversational AI at Neural Information Processing Systems …, 2018 | 9 | 2018 |
Pasquale LopsFull Professor - University of Bari Aldo MoroVerified email at di.uniba.it