A discriminative prototype selection approach for graph embedding in human action recognition. - Ehsan Zare Borzeshi; Massimo Piccardi; Richard Yi Da Xu (ICCV Workshops, 2011)

Automatic Human Action Recognition in Videos by Graph Embedding. - Ehsan Zare Borzeshi; Richard Yi Da Xu; Massimo Piccardi (ICIAP (2), 2011)

Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features. - Ehsan Zare Borzeshi; Óscar Pérez Concha; Massimo Piccardi (SSPR/SPR, 2012)

Discriminative prototype selection methods for graph embedding. - Ehsan Zare Borzeshi; Massimo Piccardi; Kaspar Riesen; Horst Bunke (Pattern Recognit., 2013)

Joint Action Segmentation and Classification by an Extended Hidden Markov Model. - Ehsan Zare Borzeshi; Óscar Pérez Concha; Richard Yi Da Xu; Massimo Piccardi (IEEE Signal Process. Lett., 2013)

Complex event recognition by latent temporal models of concepts. - Ehsan Zare Borzeshi; Afshin Dehghan; Massimo Piccardi; Mubarak Shah (ICIP, 2014)

Action recognition by graph embedding and temporal classifiers - Ehsan Zare Borzeshi (2014)

Bidirectional LSTM-CRF for Clinical Concept Extraction. - Raghavendra Chalapathy; Ehsan Zare Borzeshi; Massimo Piccardi (ClinicalNLP@COLING 2016, 2016)

An Investigation of Recurrent Neural Architectures for Drug Name Recognition. - Raghavendra Chalapathy; Ehsan Zare Borzeshi; Massimo Piccardi (Louhi@EMNLP, 2016)

PersoNER: Persian Named-Entity Recognition. - Hanieh Poostchi; Ehsan Zare Borzeshi; Mohammad Abdous; Massimo Piccardi (COLING, 2016)

A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge. - Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi (AusDM, 2017)

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition. - Inigo Jauregi Unanue; Ehsan Zare Borzeshi; Massimo Piccardi (J. Biomed. Informatics, 2017)

A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems. - Inigo Jauregi Unanue; Ehsan Zare Borzeshi; Massimo Piccardi (NMT@ACL, 2018)

Taxonomy-Augmented Features for Document Clustering. - Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi; Bernie Kruger (AusDM, 2018)

SMGKM: An Efficient Incremental Algorithm for Clustering Document Collections. - Adil M. Bagirov; Sattar Seifollahi; Massimo Piccardi; Ehsan Zare Borzeshi; Bernie Kruger (CICLing (2), 2018)

BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset. - Hanieh Poostchi; Ehsan Zare Borzeshi; Massimo Piccardi (LREC, 2018)

English-Basque Statistical and Neural Machine Translation. - Inigo Jauregi Unanue; Lierni Garmendia Arratibel; Ehsan Zare Borzeshi; Massimo Piccardi (LREC, 2018)

Sequential Labeling With Structural SVM Under Nondecomposable Losses. - Guopeng Zhang; Massimo Piccardi; Ehsan Zare Borzeshi (IEEE Trans. Neural Networks Learn. Syst., 2018)

ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems. - Inigo Jauregi Unanue; Ehsan Zare Borzeshi; Nazanin Esmaili; Massimo Piccardi (NAACL-HLT (1), 2019)

A simulated annealing-based maximum-margin clustering algorithm. - Sattar Seifollahi; Adil M. Bagirov; Ehsan Zare Borzeshi; Massimo Piccardi (Comput. Intell., 2019)

Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation. - Inigo Jauregi Unanue; Ehsan Zare Borzeshi; Massimo Piccardi (CoRR, 2019)

Regressing Word and Sentence Embeddings for Low-Resource Neural Machine Translation. - Inigo Jauregi Unanue; Ehsan Zare Borzeshi; Massimo Piccardi (IEEE Trans. Artif. Intell., 2023)