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ORCIDNicolae Tapus
- > Home > Persons > Nicolae Tapus
Publications
- 2021
[c126]Andrei Ionut Damian, Laurentiu Piciu, Cosmin Mihai Marinescu, Nicolae Tapus:
ProVe - Self-supervised pipeline for automated product replacement and cold-starting based on neural language models. CSCS 2021: 98-105- 2020
- [c114]Andrei Ionut Damian, Laurentiu Piciu, Nicolae Tapus
:
A view on automated neural graph topology generation and a viable direction of innovation. RoEduNet 2020: 1-7 - 2019
- [c107]Andrei Ionut Damian, Laurentiu Piciu, Sergiu Turlea, Nicolae Tapus:
Advanced Customer Activity Prediction Based on Deep Hierarchic Encoder-Decoders. CSCS 2019: 403-409 - [c103]Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila, Nicolae Tapus:
CloudifierNet - Deep Vision Models for Artificial Image Processing. ITQM 2019: 720-728 - [i17]Laurentiu Piciu, Andrei Ionut Damian, Nicolae Tapus, Andrei Simion-Constantinescu, Bogdan Dumitrescu:
Deep recommender engine based on efficient product embeddings neural pipeline. CoRR abs/1903.09942 (2019) - [i16]Andrei Ionut Damian, Laurentiu Piciu, Sergiu Turlea, Nicolae Tapus:
Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders. CoRR abs/1904.07687 (2019) - [i15]Andrei Ionut Damian, Laurentiu Piciu, Alexandru Purdila, Nicolae Tapus:
CloudifierNet - Deep Vision Models for Artificial Image Processing. CoRR abs/1911.01346 (2019) - 2018
- [c92]Laurentiu Piciu, Andrei Ionut Damian, Nicolae Tapus, Andrei Simion-Constantinescu, Bogdan Dumitrescu:
Deep recommender engine based on efficient product embeddings neural pipeline. RoEduNet 2018: 1-6 - [c91]Andrei Simion-Constantinescu, Andrei Ionut Damian, Nicolae Tapus, Laurentiu-Gheorghe Piciu, Alexandru Purdila, Bogdan Dumitrescu:
Deep Neural Pipeline for Churn Prediction. RoEduNet 2018: 1-7 - 2017
- [c87]Andrei Ionut Damian, Nicolae Tapus:
Model Architecture for Automatic Translation and Migration of Legacy Applications to Cloud Computing Environments. CSCS 2017: 577-582 - [c86]Andrei Ionut Damian, Alexandru Purdila, Nicolae Tapus:
Cloudifier virtual apps: Virtual desktop predictive analytics apps environment based on GPU computing framework. ICCP 2017: 133-138
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