Lorenzo Malandri

According to our database, Lorenzo Malandri authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Model-contrastive explanations through symbolic reasoning.

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Decis. Support Syst., January, 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

2023

ConvXAI: a System for Multimodal Interaction with Any Black-box Explainer.

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Cogn. Comput., March, 2023

A survey on XAI and natural language explanations.

Erik Cambria, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Inf. Process. Manag., 2023

Leveraging Group Contrastive Explanations for Handling Fairness.

Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Explainable Artificial Intelligence, 2023

KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction.

Simone D'Amico, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

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

XAI for myo-controlled prosthesis: Explaining EMG data for hand gesture classification.

Noemi Gozzi, Lorenzo Malandri, Fabio Mercorio, Alessandra Pedrocchi

Knowl. Based Syst., 2022

FFTree: A flexible tree to handle multiple fairness criteria.

Alessandro Castelnovo, Andrea Cosentini, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Inf. Process. Manag., 2022

ContrXT: Generating contrastive explanations from any text classifier.

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso

Inf. Fusion, 2022

Embeddings Evaluation Using a Novel Measure of Semantic Similarity.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Cogn. Comput., 2022

WETA: Automatic taxonomy alignment via word embeddings.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Comput. Ind., 2022

Soft computing for recommender systems and sentiment analysis.

Lorenzo Malandri, Carlos Porcel, Frank Xing, Jesús Serrano-Guerrero, Erik Cambria

Appl. Soft Comput., 2022

A Survey on XAI for Cyber Physical Systems in Medicine.

Nicola Alimonda, Luca Guidotto, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Giovanni Tosi

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract).

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

TaxoRef: Embeddings Evaluation for AI-driven Taxonomy Refinement.

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Towards Fairness Through Time.

Alessandro Castelnovo, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Cosentini

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract).

Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

NEO: A System for Identifying New Emerging Occupation from Job Ads.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NEO: A Tool for Taxonomy Enrichment with New Emerging Occupations.

Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Semantic Web - ISWC 2020, 2020

MEET: A Method for Embeddings Evaluation for Taxonomic Data.

Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets.

Frank Z. Xing, Lorenzo Malandri, Yue Zhang, Erik Cambria

Proceedings of the 28th International Conference on Computational Linguistics, 2020

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

Ensemble of Technical Analysis and Machine Learning for Market Trend Prediction.

Andrea Picasso Ratto, Simone Merello, Luca Oneto, Yukun Ma, Lorenzo Malandri, Erik Cambria

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Learning Visual Concepts in Images Using Temporal Convolutional Networks.

Qian Chen, Iti Chaturvedi, Soujanya Poria, Erik Cambria, Lorenzo Malandri

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Discovering Bayesian Market Views for Intelligent Asset Allocation.

Frank Z. Xing, Erik Cambria, Lorenzo Malandri, Carlo Vercellis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018