Marco Polignano

发表

The Infuence of User's Emotions in Recommender Systems for Decision Making Processes

Marco Polignano, 2015, DC@CHItaly.

Identification Of Bot Accounts In Twitter Using 2 D CNNs On User-generated Contents Notebook for PAN at CLEF 2019

Marco Giuseppe de Pinto, P. Lops, G. Semeraro, 2019 .

Time of Your Hate: The Challenge of Time in Hate Speech Detection on Social Media

Viviana Patti, Pierpaolo Basile, Valerio Basile, 2020, Applied Sciences.

Semantics-aware Content Representations for Reproducible Recommender Systems (SCoRe)

P. Lops, C. Musto, Marco Polignano, 2022, UMAP.

A hybrid lexicon-based and neural approach for explainable polarity detection

C. Bosco, Valerio Basile, Pierpaolo Basile, 2022, Inf. Process. Manag..

An NLP Approach for the Analysis of Global Reporting Initiative Indexes from Corporate Sustainability Reports

P. Pontrandolfo, N. Bellantuono, G. Semeraro, 2022, CSRNLP.

Recommender Systems, Basics of

Pasquale Lops, Marco Degemmis, Marco Polignano, 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations

C. Musto, G. Semeraro, Marco Polignano, 2022, UMAP.

Covid19/IT the digital side of Covid19: A picture from Italy with clustering and taxonomy

C. Scaffidi, Giovanni Cicceri, Vincenzo Bonnici, 2022, PloS one.

Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2020, ICCSA.

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)

Peter Brusilovsky, A. Felfernig, M. Willemsen, 2022, RecSys.

HealthAssistantBot: A Personal Health Assistant for the Italian Language

Giovanni Semeraro, Cataldo Musto, Marco Polignano, 2020, IEEE Access.

Recommending Doctors and Health Facilities in the HealthNet Social Network

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2017, SoMePeAS@ECIR.

A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2015, WWW.

HanSEL: Italian Hate Speech Detection Through Ensemble Learning and Deep Neural Networks

Pierpaolo Basile, Marco Polignano, Pierpaolo Basile, 2018, EVALITA@CLiC-it.

Affective Aspects as Uncertain Variables in Decisional Processes

Marco Polignano, Marco Polignano, 2016, DC@AI*IA.

A Comparison of Lexicon-based Approaches for Sentiment Analysis of Microblog Posts

Giovanni Semeraro, Cataldo Musto, Marco Polignano, 2014, DART@AI*IA.

Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients

Giovanni Semeraro, Marco Polignano, Pasquale Lops, 2020, 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

AlBERTo: Italian BERT Language Understanding Model for NLP Challenging Tasks Based on Tweets

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2019, CLiC-it.

Recommendations Biases and Beyond-Accuracy Objectives in Collaborative Filtering

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2018, Collaborative Recommendations.

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, ACM Trans. Inf. Syst..

Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2020, UMAP.

Myrror: a platform for holistic user modeling

Pasquale Lops, Giovanni Semeraro, Cataldo Musto, 2020, User Modeling and User-Adapted Interaction.

Advanced Programming of Intelligent Social Robots

Donato Malerba, Giovanna Castellano, Annalisa Appice, 2019 .

Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2021, Expert Syst. Appl..

A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2019, UMAP.

Hate Speech Detection through AlBERTo Italian Language Understanding Model

Giovanni Semeraro, Pierpaolo Basile, Marco Polignano, 2019, NL4AI@AI*IA.

User's Social Media Profile as Predictor of Empathy

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2017, UMAP.

Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents

Pasquale Lops, Giovanni Semeraro, Marco Polignano, 2019, CLEF.

SWAP at SemEval-2019 Task 3: Emotion detection in conversations through Tweets, CNN and LSTM deep neural networks

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2019, *SEMEVAL.

Semantically-Aware Retrieval of Oceanographic Phenomena Annotated on Satellite Images

Marco Degemmis, Lucia Siciliani, Marco Polignano, 2021, Inf..

Do You Feel Blue? Detection of Negative Feeling from Social Media

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2017, AI*IA.

Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations

P. Lops, C. Musto, G. Semeraro, 2023, UMAP.

Comparing Transformer-based NER approaches for analysing textual medical diagnoses

Giovanni Semeraro, Marco Degemmis, Marco Polignano, 2021, CLEF.

A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2020, CLiC-it.

A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems

Giovanni Semeraro, Marco Degemmis, Pierpaolo Basile, 2020, IntRS@RecSys.

Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations

Pasquale Lops, Giovanni Semeraro, Marco Degemmis, 2021, RecSys.

A semantic representation of EO data for image retrieval based on natural language queries

Sergio Samarelli, Olivier Regniers, Marco Polignano, 2018, International Conference on Remote Sensing and Geoinformation of Environment.

Reproducibility Analysis of Recommender Systems relying on Visual Features: traps, pitfalls, and countermeasures

P. Lops, C. Musto, G. Semeraro, 2023 .

ClayRS: An end-to-end framework for reproducible knowledge-aware recommender systems

P. Lops, C. Musto, G. Semeraro, 2023, Information Systems.

Accountable Knowledge-aware Recommender Systems

P. Lops, C. Musto, Marco Polignano, 2023, UMAP.

Computational Linguistics Against Hate: Hate Speech Detection and Visualization on Social Media in the "Contro L'Odio" Project

Giovanni Semeraro, Giancarlo Ruffo, Viviana Patti, 2019, CLiC-it.

10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’23)

Peter Brusilovsky, A. Felfernig, M. Willemsen, 2023, RecSys.