A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts. - Cataldo Musto; Giovanni Semeraro; Marco Polignano (DART@AI*IA, 2014)

Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality. - Marco Polignano; Marco de Gemmis (DC@AI*IA, 2015)

The Infuence of User's Emotions in Recommender Systems for Decision Making Processes. - Marco Polignano (DC@CHItaly, 2015)

A Framework for Emotion-aware Recommender Systems supporting Decision Making. - Marco Polignano (FDIA, 2015)

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network. - Fedelucio Narducci; Cataldo Musto; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (WWW (Companion Volume), 2015)

Affective Aspects as Uncertain Variables in Decisional Processes. - Marco Polignano (DC@AI*IA, 2016)

Do You Feel Blue? Detection of Negative Feeling from Social Media. - Marco Polignano; Marco de Gemmis; Fedelucio Narducci; Giovanni Semeraro (AI*IA, 2017)

Recommending Doctors and Health Facilities in the HealthNet Social Network. - Fedelucio Narducci; Cataldo Musto; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (SoMePeAS@ECIR, 2017)

Empathic Inclination from Digital Footprints. - Marco Polignano; Pierpaolo Basile; Gaetano Rossiello; Marco de Gemmis; Giovanni Semeraro (IIR, 2017)

Learning Inclination to Empathy from Social Media Footprints. - Marco Polignano; Pierpaolo Basile; Gaetano Rossiello; Marco de Gemmis; Giovanni Semeraro (UMAP, 2017)

User's Social Media Profile as Predictor of Empathy. - Marco Polignano; Pierpaolo Basile; Gaetano Rossiello; Marco de Gemmis; Giovanni Semeraro (UMAP (Adjunct Publication), 2017)

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering. - Pasquale Lops; Fedelucio Narducci; Cataldo Musto; Marco de Gemmis; Marco Polignano; Giovanni Semeraro (Collaborative Recommendations, 2018)

Overview of the EVALITA 2018 Aspect-based Sentiment Analysis Task (ABSITA). - Pierpaolo Basile; Valerio Basile; Danilo Croce; Marco Polignano (EVALITA@CLiC-it, 2018)

HanSEL: Italian Hate Speech Detection Through Ensemble Learning and Deep Neural Networks. - Marco Polignano; Pierpaolo Basile (EVALITA@CLiC-it, 2018)

An Emotion-driven Approach for Aspect-based Opinion Mining. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro (IIR, 2018)

An Affect-Aware Computational Model for supporting decision-making through Recommender Systems. - Marco Polignano (2018)

Recommender Systems, Basics of. - Marco de Gemmis; Pasquale Lops; Marco Polignano (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Hate Speech Detection through AlBERTo Italian Language Understanding Model. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro (NL4AI@AI*IA, 2019)

Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents. - Marco Polignano; Marco Giuseppe de Pinto; Pasquale Lops; Giovanni Semeraro (CLEF (Working Notes), 2019)

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project. - Arthur T. E. Capozzi; Mirko Lai; Valerio Basile; Cataldo Musto; Marco Polignano; Fabio Poletto; Manuela Sanguinetti; Cristina Bosco; Viviana Patti; Giancarlo Ruffo; Giovanni Semeraro; Marco Stranisci (CLiC-it, 2019)

HateChecker: a Tool to Automatically Detect Hater Users in Online Social Networks. - Cataldo Musto; Angelo Sansonetti; Marco Polignano; Giovanni Semeraro; Marco Stranisci (CLiC-it, 2019)

AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro; Valerio Basile (CLiC-it, 2019)

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks. - Marco Polignano; Marco de Gemmis; Giovanni Semeraro (SemEval@NAACL-HLT, 2019)

A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro (UMAP (Adjunct Publication), 2019)

Social Tags and Emotions as main Features for the Next Song To Play in Automatic Playlist Continuation. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Giovanni Semeraro (UMAP (Adjunct Publication), 2019)

A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. - Marco Polignano; Vincenzo Suriano; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (CLEF (Working Notes), 2020)

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. - Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (CLiC-it, 2020)

Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients. - Marco Giuseppe de Pinto; Marco Polignano; Pasquale Lops; Giovanni Semeraro (EAIS, 2020)

ATE_ABSITA @ EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task. - Lorenzo De Mattei; Graziella De Martino; Andrea Iovine; Alessio Miaschi; Marco Polignano; Giulia Rambelli (EVALITA, 2020)

DECiSION: Data-drivEn Customer Service InnovatiON. - Dario Esposito; Marco Polignano; Pierpaolo Basile; Marco de Gemmis; Davide Primiceri; Stefano Lisi; Mauro Casaburi; Giorgio Basile; Matteo Mennitti; Valentina Carella; Vito Manzari (ICCSA (4), 2020)

Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances. - Marco Polignano; Marco de Gemmis; Giovanni Semeraro (ICCSA (4), 2020)

A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems. - Andrea Iovine; Fedelucio Narducci; Marco de Gemmis; Marco Polignano; Pierpaolo Basile; Giovanni Semeraro (IntRS@RecSys, 2020)

GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering. - Pierluigi Cassotti; Annalina Caputo; Marco Polignano; Pierpaolo Basile (SemEval@COLING, 2020)

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. - Cataldo Musto; Fedelucio Narducci; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (UMAP (Adjunct Publication), 2020)

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2020)

Workshop on Explainable User Models and Personalized Systems (ExUM 2020). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP, 2020)

HealthAssistantBot: A Personal Health Assistant for the Italian Language. - Marco Polignano; Fedelucio Narducci; Andrea Iovine; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro (IEEE Access, 2020)

Myrror: a platform for holistic user modeling. - Cataldo Musto; Marco Polignano; Giovanni Semeraro; Marco de Gemmis; Pasquale Lops (User Model. User Adapt. Interact., 2020)

Comparing Transformer-based NER approaches for analysing textual medical diagnoses. - Marco Polignano; Marco de Gemmis; Giovanni Semeraro (CLEF (Working Notes), 2021)

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. - Marco Polignano; Cataldo Musto; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (RecSys, 2021)

Workshop on Explainable User Models and Personalized Systems (ExUM 2021). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2021)

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors. - Marco Polignano; Fedelucio Narducci; Marco de Gemmis; Giovanni Semeraro (Expert Syst. Appl., 2021)

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images. - Vasilis Kopsachilis; Lucia Siciliani; Marco Polignano; Polichronis Kolokoussis; Michail Vaitis; Marco de Gemmis; Konstantinos N. Topouzelis (Inf., 2021)

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. - Cataldo Musto; Fedelucio Narducci; Marco Polignano; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro (ACM Trans. Inf. Syst., 2021)

Italian IT Initiatives against COVID-19 (Dataset). - Vincenzo Bonnici; Giovanni Cicceri; Salvatore Distefano; Letterio Galletta; Marco Polignano; Carlo Scaffidi (Zenodo, 2021)

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2022)

Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe). - Pasquale Lops; Cataldo Musto; Marco Polignano (UMAP, 2022)

Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2022)

Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations. - Marco Polignano; Giuseppe Colavito; Cataldo Musto; Marco de Gemmis; Giovanni Semeraro (UMAP (Adjunct Publication), 2022)

Special Issue on Information Retrieval, Recommender Systems and Adaptive Systems. - Marco Polignano; Giovanni Semeraro (Inf., 2022)

A hybrid lexicon-based and neural approach for explainable polarity detection. - Marco Polignano; Valerio Basile; Pierpaolo Basile; Giuliano Gabrieli; Marco Vassallo; Cristina Bosco (Inf. Process. Manag., 2022)

On the Impact of Language Adaptation for Large Language Models: A Case Study for the Italian Language Using Only Open Resources. - Pierpaolo Basile; Pierluigi Cassotti; Marco Polignano; Lucia Siciliani; Giovanni Semeraro (CLiC-it, 2023)

Human Understanding Capabilities of Symbiotic AI systems in FAIR (Future Artificial Intelligence Research). - Pierluigi Amodio; Lucia Siciliani; Linda Antonella Antonucci; Cristiano Tamborrino; Pierpaolo Basile; Paolo Taurisano; Marco de Gemmis; Felice Iavernaro; Pasquale Lops; Francesca Mazzia; Cataldo Musto; Marco Polignano; et al. (Ital-IA, 2023)

10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2023)

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures. - Pasquale Lops; Elio Musacchio; Cataldo Musto; Marco Polignano; Antonio Silletti; Giovanni Semeraro (RecSys, 2023)

Accountable Knowledge-aware Recommender Systems. - Pasquale Lops; Cataldo Musto; Marco Polignano (UMAP, 2023)

5th Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2023)

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. - Giuseppe Spillo; Cataldo Musto; Marco Polignano; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (UMAP, 2023)

LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language. - Pierpaolo Basile; Elio Musacchio; Marco Polignano; Lucia Siciliani; Giuseppe Fiameni; Giovanni Semeraro (CoRR, 2023)

Special Issue NL4AI 2022: Workshop on natural language for artificial intelligence. - Debora Nozza; Lucia C. Passaro; Marco Polignano (Intelligenza Artificiale, 2023)

HELENA: An intelligent digital assistant based on a Lifelong Health User Model. - Marco Polignano; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (Inf. Process. Manag., 2023)

ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems. - Pasquale Lops; Marco Polignano; Cataldo Musto; Antonio Silletti; Giovanni Semeraro (Inf. Syst., 2023)

Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (SIGIR Forum, 2023)

LLaMAntino against Cyber Intimate Partner Violence. - Pierpaolo Basile; Marco Degemmis; Marco Polignano; Giovanni Semeraro; Lucia Siciliani; Vincenzo Tamburrano; Fabiana Battista; Rosa Scardigno (CLiC-it, 2024)

Unraveling the Enigma of SPLIT in Large-Language Models: The Unforeseen Impact of System Prompts on LLMs with Dissociative Identity Disorder. - Marco Polignano; Marco de Gemmis; Giovanni Semeraro (CLiC-it, 2024)

Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces. - Gaetano Dibenedetto; Marco Polignano; Pasquale Lops; Giovanni Semeraro (HealthRecSys@RecSys, 2024)

Explaining Intimate Partner Violence with LLaMAntino. - Pierpaolo Basile; Marco de Gemmis; Elio Musacchio; Marco Polignano; Giovanni Semeraro; Lucia Siciliani; Vincenzo Tamburrano; Vita Santa Barletta; Danilo Caivano; Fabiana Battista; Antonietta Curci; Rosa Scardigno; et al. (Ital-IA, 2024)

11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2024)

RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. - Johannes Kruse 002; Kasper Lindskow; Saikishore Kalloori; Marco Polignano; Claudio Pomo; Abhishek Srivastava 004; Anshuk Uppal; Michael Riis Andersen; Jes Frellsen (RecSys, 2024)

EB-NeRD a large-scale dataset for news recommendation. - Johannes Kruse 002; Kasper Lindskow; Saikishore Kalloori; Marco Polignano; Claudio Pomo; Abhishek Srivastava 004; Anshuk Uppal; Michael Riis Andersen; Jes Frellsen (RecSys Challenge, 2024)

Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm. - Pasquale Lops; Antonio Silletti; Marco Polignano; Cataldo Musto; Giovanni Semeraro (RecSys, 2024)

Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. - Gaetano Dibenedetto; Marco Polignano; Pasquale Lops; Giovanni Semeraro (UMAP (Adjunct Publication), 2024)

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. - Marco Polignano; Cataldo Musto; Amra Delic; Oana Inel; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2024)

A Comprehensive Strategy to Bias and Mitigation in Human Resource Decision Systems. - Silvia D'Amicantonio; Mishal Kizhakkam Kulangara; Het Darshan Mehta; Shalini Pal; Marco Levantesi; Marco Polignano; Erasmo Purificato; Ernesto William De Luca (XAI.it@AI*IA, 2024)

XAI.it 2024: An Overview on the Future of AI in the Era of Large Language Models. - Marco Polignano; Cataldo Musto; Roberto Pellungrini; Erasmo Purificato; Giovanni Semeraro; Mattia Setzu (XAI.it@AI*IA, 2024)

Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA. - Marco Polignano; Pierpaolo Basile; Giovanni Semeraro (CoRR, 2024)

Human Pose Estimation for Explainable Corrective Feedbacks in Office Spaces. - Gaetano Dibenedetto; Marco Polignano; Pasquale Lops; Giovanni Semeraro (Zenodo, 2024)

Office Posture Analysis for Tailored Exercise Recommendations. - Gaetano Dibenedetto; Marco Polignano; Pasquale Lops; Giovanni Semeraro (Zenodo, 2024)

Fine-Tuning Large Multimodal Models for Fitness Action Quality Assessment. - Gaetano Dibenedetto; Elio Musacchio; Marco Polignano; Pasquale Lops (UMAP (Adjunct Publication), 2025)

JARVIS: Adaptive Dual-Hemisphere Architectures For Personalized Large Agentic Models. - Francesco Manco; Domenico Roberto; Marco Polignano; Giovanni Semeraro (UMAP (Adjunct Publication), 2025)

7th Workshop on Explainable User Models and Personalised Systems (ExUM 2025). - Cataldo Musto; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2025)

Comparing Human Pose Estimation through deep learning approaches: An overview. - Gaetano Dibenedetto; Stefanos Sotiropoulos; Marco Polignano; Giuseppe Cavallo; Pasquale Lops (Comput. Vis. Image Underst., 2025)