Hanieh Poostchi
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PersoNER: Persian Named-Entity Recognition
H Poostchi, M Abdous, EZ Borzeshi, M Piccardi
BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset
H Poostchi, EZ Borzeshi, M Piccardi
Eleventh International Conference on Language Resources and Evaluation (LREC …, 2018
Correlation based splitting criterionin multi branch decision tree
N Salehi-Moghaddami, H Yazdi, H Poostchi
Open Computer Science 1 (2), 205-220, 2011
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition
H Poostchi, M Piccardi
IEEE Transactions on Big Data, 2019
Cluster Labeling by Word Embeddings andWordNet’s Hypernymy
H Poostchi, M Piccardi
16th Annual Workshop of The Australasian Language Technology Association, 66-70, 2018
Diabetic retinopathy dark lesion detection: preprocessing phase
H Poostchi, S Khakmardan, H Pourreza
2011 1st International eConference on Computer and Knowledge Engineering …, 2011
Solving Traveling Salesman problem by a hybrid combination of PSO and Extremal Optimization
S Khakmardan, H Poostchi, MR Akbarzadeh-T
The 2011 International Joint Conference on Neural Networks, 1501-1507, 2011
A multi-constraint structured hinge loss for named-entity recognition
H Poostchi, M Piccardi
Proceedings of the 17th Workshop of the Australasian Language Technology …, 2019
Proceedings of the Australasian Language Technology Association Workshop 2017
JSM Wong, G Haffari
Proceedings of the Australasian Language Technology Association Workshop 2017, 2017
Preliminary studies on personalized preference prediction from gaze in comparing visualizations
H R.-Tavakoli, H Poostchi, J Peltonen, J Laaksonen, S Kaski
Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016
Evaluation of efficiency of new combined PSO-EO algorithm in solving sailor assignment problem
R Ghaemi, K Shekofteh, S Khakmardan, H Poostchi, M Farimani
Indian Journal of Fundamental and Applied Life Sciences ISSN, 2231-6345, 2014
Using Type II Fuzzy Entropy in Thresholding Phase of Motion Detection Based on Temporal Variance and Background Modeling.
M Poostchi, H Poostchi, M Fathy
IPCV, 477-483, 2008
6 Persian Named Entity Recognition with Structural Prediction Methods
H Poostchi, M Piccardi
Persian Computational Linguistics and NLP 2, 149, 2023
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Y Matsumoto, R Prasad
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Australasian Language Technology Association Workshop 2016
T Cohn
MCMC approximation for GP Classification
H Poostchi
Distributed adaptive spanning tree for data gathering in Wireless Sensor Networks
H Poostchi, MR Akbarzadeh-T., SM Taheri
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International …, 2012
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