Discovering Bayesian Market Views for Intelligent Asset Allocation. - Frank Z. Xing; Erik Cambria; Lorenzo Malandri; Carlo Vercellis (ECML/PKDD (3), 2018)

Learning Visual Concepts in Images Using Temporal Convolutional Networks. - Qian Chen 033; Iti Chaturvedi; Soujanya Poria; Erik Cambria; Lorenzo Malandri (SSCI, 2018)

Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction. - Andrea Picasso Ratto; Simone Merello; Luca Oneto; Yukun Ma; Lorenzo Malandri; Erik Cambria (SSCI, 2018)

Public Mood-Driven Asset Allocation: the Importance of Financial Sentiment in Portfolio Management. - Lorenzo Malandri; Frank Z. Xing; Carlotta Orsenigo; Carlo Vercellis; Erik Cambria (Cogn. Comput., 2018)

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets. - Frank Z. Xing; Lorenzo Malandri; Yue Zhang 004; Erik Cambria (COLING, 2020)

MEET: A Method for Embeddings Evaluation for Taxonomic Data. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (ICDM (Workshops), 2020)

NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (ISWC (2), 2020)

NEO: A System for Identifying New Emerging Occupation from Job Ads. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (AAAI, 2021)

A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). - Navid Nobani; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). - Andrea Seveso; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2021)

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (IJCAI, 2021)

Towards Fairness Through Time. - Alessandro Castelnovo; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Cosentini (PKDD/ECML Workshops (1), 2021)

TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (ECML/PKDD (3), 2021)

Skills2Job: A recommender system that encodes job offer embeddings on graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Appl. Soft Comput., 2021)

MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Comput. Ind., 2021)

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (AAAI, 2022)

The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani; Andrea Seveso (IJCAI, 2022)

A Survey on XAI for Cyber Physical Systems in Medicine. - Nicola Alimonda; Luca Guidotto; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Giovanni Tosi (MetroXRAINE, 2022)

Soft computing for recommender systems and sentiment analysis. - Lorenzo Malandri; Carlos Porcel; Frank Xing; Jesús Serrano-Guerrero; Erik Cambria (Appl. Soft Comput., 2022)

WETA: Automatic taxonomy alignment via word embeddings. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Comput. Ind., 2022)

Embeddings Evaluation Using a Novel Measure of Semantic Similarity. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Cogn. Comput., 2022)

ContrXT: Generating contrastive explanations from any text classifier. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani; Andrea Seveso (Inf. Fusion, 2022)

FFTree: A flexible tree to handle multiple fairness criteria. - Alessandro Castelnovo; Andrea Cosentini; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Inf. Process. Manag., 2022)

XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification. - Noemi Gozzi; Lorenzo Malandri; Fabio Mercorio; Alessandra Pedrocchi (Knowl. Based Syst., 2022)

GraphLMI: A data driven system for exploring labor market information through graph databases. - Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Multim. Tools Appl., 2022)

KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction. - Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (KDIR, 2023)

SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine Learning. - Vittorio Haardt; Lorenzo Malandri; Fabio Mercorio; Luca Porcelli (PKDD/ECML Workshops (3), 2023)

Leveraging Group Contrastive Explanations for Handling Fairness. - Alessandro Castelnovo; Nicole Inverardi; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (xAI (3), 2023)

A survey on XAI and natural language explanations. - Erik Cambria; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Inf. Process. Manag., 2023)

ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Navid Nobani (Cogn. Comput., 2023)

Alignment of Multilingual Embeddings to Estimate Job Similarities in Online Labour Market. - Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (DSAA, 2024)

An approach to Evaluative AI through Large Language Models. - Andrea Ermellino; Lorenzo Malandri; Fabio Mercorio; Navid Nobani; Antonio Serino (MAI-XAI@ECAI, 2024)

HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent. - Weijie Xu; Zicheng Huang; Wenxiang Hu; Xi Fang; Rajesh Kumar Cherukuri; Naumaan Nayyar; Lorenzo Malandri; Srinivasan H. Sengamedu (CoRR, 2024)

XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models. - Erik Cambria; Lorenzo Malandri; Fabio Mercorio; Navid Nobani; Andrea Seveso (CoRR, 2024)

Model-contrastive explanations through symbolic reasoning. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Andrea Seveso (Decis. Support Syst., 2024)

A Fistful of Vectors: A Tool for Intrinsic Evaluation of Word Embeddings. - Roberto Ascari; Anna Giabelli; Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica (Cogn. Comput., 2024)

Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods. - Mirko Cesarini; Lorenzo Malandri; Filippo Pallucchini; Andrea Seveso; Frank Xing (Cogn. Comput., 2024)

RE-FIN: Retrieval-based Enrichment for Financial data. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (COLING (Industry), 2025)

JobSet: Synthetic Job Advertisements Dataset for Labour Market Intelligence. - Samuele Colombo; Simone D'Amico; Lorenzo Malandri; Fabio Mercorio; Andrea Seveso (SAC, 2025)

SkiLLMo: Normalized ESCO Skill Extraction through Transformer Models. - Lorenzo Malandri; Fabio Mercorio; Antonio Serino (SAC, 2025)

SeNSe: embedding alignment via semantic anchors selection. - Lorenzo Malandri; Fabio Mercorio; Mario Mezzanzanica; Filippo Pallucchini (Int. J. Data Sci. Anal., 2025)