Следене
Lorenzo Malandri
Lorenzo Malandri
Assistant Professor, Università di Milano-Bicocca
Потвърден имейл адрес: unimib.it
Заглавие
Позовавания
Позовавания
Година
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
1212023
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
1022018
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
852020
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
672021
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
532022
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
392018
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
382018
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
322022
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
312020
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
282021
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
252023
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
242021
ContrXT: Generating contrastive explanations from any text classifier
L Malandri, F Mercorio, M Mezzanzanica, N Nobani, A Seveso
Information Fusion 81, 103--115, 2022
172022
Xai meets llms: A survey of the relation between explainable ai and large language models
E Cambria, L Malandri, F Mercorio, N Nobani, A Seveso
arXiv preprint arXiv:2407.15248, 2024
162024
WETA: Automatic taxonomy alignment via word embeddings
A Giabelli, L Malandri, F Mercorio, M Mezzanzanica
Computers in Industry 138, 103626, 2022
162022
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
142022
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
132022
Model-contrastive explanations through symbolic reasoning
L Malandri, F Mercorio, M Mezzanzanica, A Seveso
Decision Support Systems 176, 114040, 2024
112024
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
102022
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement
L Malandri, F Mercorio, M Mezzanzanica, N Nobani
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
102021
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