A Unified Approach for Context-sensitive Recommendations. - Mihaela Dînsoreanu; Florin Cristian Macicasan; Octavian Lucian Hasna; Rodica Potolea (KDIR, 2012)

Sentiment Polarity Extension for Context-Sensitive Recommender Systems . - Octavian Lucian Hasna; Florin Cristian Macicasan; Mihaela Dînsoreanu; Rodica Potolea (KDIR, 2014)

Modeling Sentiment Polarity with Meta-features to Achieve Domain-Independence. - Octavian Lucian Hasna; Florin Cristian Macicasan; Mihaela Dînsoreanu; Rodica Potolea (IC3K (Selected Papers), 2014)

A transition-based approach for AMR parsing using LSTM networks. - Silviana Cimpian; Andreea Lazar; Florin Cristian Macicasan; Camelia Lemnaru (ICCP, 2017)

Enhancements on a Transition-Based Approach for AMR Parsing Using LSTM Networks. - Roxana Pop; Anda Dregan; Florin Cristian Macicasan; Camelia Lemnaru; Rodica Potolea (ICCP, 2018)

Identifying Concepts and Relations in a Transition-Based AMR Parser. - Viorel Ieremias; Roxana Pop; Florin Cristian Macicasan (ICCP, 2019)

Concept Identification with Sequence-to-Sequence Models in Abstract Meaning Representation Parsing. - Orsolya Bernadett Batiz; Robert Paul Helmer; Roxana Pop; Florin Cristian Macicasan; Camelia Lemnaru (ICCP, 2020)

A Two Stage Approach for AMR Parsing Using the Concept Inference Order. - Roxana Pop; Florin Cristian Macicasan; Camelia Lemnaru (ICCP, 2020)

Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing. - Alexandru Frasie; Nicoleta-Teodora Vezan; Georgiana Marian; Florin Cristian Macicasan; Camelia Lemnaru (EANN, 2022)

Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks. - Florin Cristian Macicasan; Alexandru Frasie; Nicoleta-Teodora Vezan; Camelia Lemnaru; Rodica Potolea (Int. J. Neural Syst., 2023)