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ORCIDLorenzo Malandri
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2020 – today
- 2024
[j15]Roberto Ascari
, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. Cogn. Comput. 16(3): 949-963 (2024)- [j14]Mirko Cesarini, Lorenzo Malandri, Filippo Pallucchini, Andrea Seveso, Frank Xing:
Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. Cogn. Comput. 16(6): 3077-3095 (2024) - [j13]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Model-contrastive explanations through symbolic reasoning. Decis. Support Syst. 176: 114040 (2024) - [c20]Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Filippo Pallucchini:
Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. DSAA 2024: 1-10 - [c19]Ermellino Andrea, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Antonio Serino:
An approach to Evaluative AI through Large Language Models. MAI-XAI@ECAI 2024: 1-15 - [i3]Weijie Xu, Zicheng Huang, Wenxiang Hu, Xi Fang, Rajesh Kumar Cherukuri, Naumaan Nayyar, Lorenzo Malandri, Srinivasan H. Sengamedu:
HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent. CoRR abs/2402.01018 (2024) - [i2]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Navid Nobani, Andrea Seveso:
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. CoRR abs/2407.15248 (2024) - 2023
- [j12]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. Cogn. Comput. 15(2): 613-644 (2023) - [j11]Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
A survey on XAI and natural language explanations. Inf. Process. Manag. 60(1): 103111 (2023) - [c18]Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. KDIR 2023: 289-297 - [c17]Vittorio Haardt, Lorenzo Malandri, Fabio Mercorio, Luca Porcelli:
SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine Learning. PKDD/ECML Workshops (3) 2023: 390-402 - [c16]Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Leveraging Group Contrastive Explanations for Handling Fairness. xAI (3) 2023: 332-345 - 2022
- [j10]Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria:
Soft computing for recommender systems and sentiment analysis. Appl. Soft Comput. 118: 108246 (2022) - [j9]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
WETA: Automatic taxonomy alignment via word embeddings. Comput. Ind. 138: 103626 (2022) - [j8]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
Embeddings Evaluation Using a Novel Measure of Semantic Similarity. Cogn. Comput. 14(2): 749-763 (2022) - [j7]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
ContrXT: Generating contrastive explanations from any text classifier. Inf. Fusion 81: 103-115 (2022) - [j6]Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
FFTree: A flexible tree to handle multiple fairness criteria. Inf. Process. Manag. 59(6): 103099 (2022) - [j5]Noemi Gozzi, Lorenzo Malandri, Fabio Mercorio, Alessandra Pedrocchi:
XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification. Knowl. Based Syst. 240: 108053 (2022) - [j4]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
GraphLMI: A data driven system for exploring labor market information through graph databases. Multim. Tools Appl. 81(3): 3061-3090 (2022) - [c15]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). AAAI 2022: 12955-12956 - [c14]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso:
The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. IJCAI 2022: 5936-5939 - [c13]Nicola Alimonda, Luca Guidotto, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Giovanni Tosi:
A Survey on XAI for Cyber Physical Systems in Medicine. MetroXRAINE 2022: 265-270 - 2021
- [j3]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Skills2Job: A recommender system that encodes job offer embeddings on graph databases. Appl. Soft Comput. 101: 107049 (2021) - [j2]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market. Comput. Ind. 124: 103341 (2021) - [c12]Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). AAAI 2021: 15859-15860 - [c11]Andrea Seveso, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). AAAI 2021: 15885-15886 - [c10]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A System for Identifying New Emerging Occupation from Job Ads. AAAI 2021: 16035-16037 - [c9]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. IJCAI 2021: 4984-4987 - [c8]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. ECML/PKDD (3) 2021: 612-627 - [c7]Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini:
Towards Fairness Through Time. PKDD/ECML Workshops (1) 2021: 647-663 - 2020
- [c6]Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria:
Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. COLING 2020: 978-987 - [c5]Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani:
MEET: A Method for Embeddings Evaluation for Taxonomic Data. ICDM (Workshops) 2020: 31-38 - [c4]Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. ISWC (2) 2020: 568-584
2010 – 2019
- 2018
- [j1]Lorenzo Malandri, Frank Z. Xing, Carlotta Orsenigo, Carlo Vercellis, Erik Cambria:
Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management. Cogn. Comput. 10(6): 1167-1176 (2018) - [c3]Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis:
Discovering Bayesian Market Views for Intelligent Asset Allocation. ECML/PKDD (3) 2018: 120-135 - [c2]Qian Chen, Iti Chaturvedi, Soujanya Poria, Erik Cambria, Lorenzo Malandri:
Learning Visual Concepts in Images Using Temporal Convolutional Networks. SSCI 2018: 1280-1284 - [c1]Andrea Picasso Ratto, Simone Merello, Luca Oneto, Yukun Ma, Lorenzo Malandri, Erik Cambria:
Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction. SSCI 2018: 2090-2096 - [i1]Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis:
Discovering Bayesian Market Views for Intelligent Asset Allocation. CoRR abs/1802.09911 (2018)
Coauthor Index
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