Public mood–driven asset allocation: The importance of financial sentiment in portfolio management L Malandri, FZ Xing, C Orsenigo, C Vercellis, E Cambria Cognitive Computation 10 (6), 1167-1176, 2018 | 94 | 2018 |
A survey on XAI and natural language explanations E Cambria, L Malandri, F Mercorio, M Mezzanzanica, N Nobani Information Processing & Management 60 (1), 103111, 2023 | 86 | 2023 |
Financial sentiment analysis: an investigation into common mistakes and silver bullets F Xing, L Malandri, Y Zhang, E Cambria Proceedings of the 28th international conference on computational …, 2020 | 78 | 2020 |
Skills2Job: A recommender system that encodes job offer embeddings on graph databases A Giabelli, L Malandri, F Mercorio, M Mezzanzanica, A Seveso Applied Soft Computing 101 (107049), 2021 | 54 | 2021 |
Ensemble of technical analysis and machine learning for market trend prediction AP Ratto, S Merello, L Oneto, Y Ma, L Malandri, E Cambria 2018 IEEE symposium series on computational intelligence (ssci), 2090-2096, 2018 | 41 | 2018 |
XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification N Gozzi, L Malandri, F Mercorio, A Pedrocchi Knowledge-Based Systems 240, 108053, 2022 | 40 | 2022 |
Discovering Bayesian market views for intelligent asset allocation FZ Xing, E Cambria, L Malandri, C Vercellis Joint European conference on machine learning and knowledge discovery in …, 2018 | 38 | 2018 |
GraphLMI: A data driven system for exploring labor market information through graph databases A Giabelli, L Malandri, F Mercorio, M Mezzanzanica Multimedia Tools and Applications 81 (3), 3061-3090, 2022 | 27 | 2022 |
NEO: A tool for taxonomy enrichment with new emerging occupations A Giabelli, L Malandri, F Mercorio, M Mezzanzanica, A Seveso International Semantic Web Conference, 568-584, 2020 | 26 | 2020 |
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market L Malandri, F Mercorio, M Mezzanzanica, N Nobani Computers in Industry 124, 103341, 2021 | 25 | 2021 |
Towards fairness through time A Castelnovo, L Malandri, F Mercorio, M Mezzanzanica, A Cosentini Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 23 | 2021 |
ConvXAI: a system for multimodal interaction with any black-box explainer L Malandri, F Mercorio, M Mezzanzanica, N Nobani Cognitive Computation 15 (2), 613-644, 2023 | 18 | 2023 |
ContrXT: Generating contrastive explanations from any text classifier L Malandri, F Mercorio, M Mezzanzanica, N Nobani, A Seveso Information Fusion 81, 103--115, 2022 | 15 | 2022 |
FFTree: A flexible tree to handle multiple fairness criteria A Castelnovo, A Cosentini, L Malandri, F Mercorio, M Mezzanzanica Information Processing & Management 59 (6), 103099, 2022 | 12 | 2022 |
WETA: Automatic taxonomy alignment via word embeddings A Giabelli, L Malandri, F Mercorio, M Mezzanzanica Computers in Industry 138, 103626, 2022 | 10 | 2022 |
Embeddings evaluation using a novel measure of semantic similarity A Giabelli, L Malandri, F Mercorio, M Mezzanzanica, N Nobani Cognitive Computation 14 (2), 749-763, 2022 | 10 | 2022 |
Model-contrastive explanations through symbolic reasoning L Malandri, F Mercorio, M Mezzanzanica, A Seveso Decision Support Systems 176, 114040, 2024 | 9 | 2024 |
Soft computing for recommender systems and sentiment analysis L Malandri, C Porcel, F Xing, J Serrano-Guerrero, E Cambria Applied Soft Computing 118, 108246, 2022 | 9 | 2022 |
NEO: A system for identifying new emerging occupation from job ads A Giabelli, L Malandri, F Mercorio, M Mezzanzanica, A Seveso Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16035 …, 2021 | 9 | 2021 |
Meet: A method for embeddings evaluation for taxonomic data L Malandri, F Mercorio, M Mezzanzanica, N Nobani 2020 International Conference on Data Mining Workshops (ICDMW), 31-38, 2020 | 8 | 2020 |