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Arturo Magana-Mora
Arturo Magana-Mora
Lead Data Scientist, Saudi Aramco
Email verificata su kaust.edu.sa
Titolo
Citata da
Citata da
Anno
HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis
IV Kulakovskiy, IE Vorontsov, IS Yevshin, RN Sharipov, AD Fedorova, ...
Nucleic acids research 46 (D1), D252-D259, 2018
8322018
Machine learning for detecting stuck pipe incidents: Data analytics and models evaluation
A Alshaikh, A Magana-Mora, SA Gharbi, A Al-Yami
International petroleum technology conference, D021S021R003, 2019
782019
Drilling in the fourth industrial revolution—Vision and challenges
CP Gooneratne, A Magana-Mora, WC Otalvora, M Affleck, P Singh, ...
IEEE Engineering Management Review 48 (4), 144-159, 2020
762020
DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions
M Kalkatawi, A Magana-Mora, B Jankovic, VB Bajic
Bioinformatics 35 (7), 1125-1132, 2019
692019
Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA
S Albaradei, A Magana-Mora, M Thafar, M Uludag, VB Bajic, T Gojobori, ...
Gene 763, 100035, 2020
542020
DPubChem: a web tool for QSAR modeling and high-throughput virtual screening
O Soufan, W Ba-Alawi, A Magana-Mora, M Essack, VB Bajic
Scientific reports 8 (1), 9110, 2018
522018
AccuPipePred: A framework for the accurate and early detection of stuck pipe for real-time drilling operations
A Magana-Mora, S Gharbi, A Alshaikh, A Al-Yami
SPE Middle East Oil and Gas Show and Conference, D032S077R003, 2019
382019
Omni-PolyA: a method and tool for accurate recognition of Poly (A) signals in human genomic DNA
A Magana-Mora, M Kalkatawi, VB Bajic
BMC genomics 18, 1-13, 2017
382017
OmniGA: Optimized omnivariate decision trees for generalizable classification models
A Magana-Mora, VB Bajic
Scientific Reports 7 (1), 3898, 2017
382017
Deep learning and time-series analysis for the early detection of lost circulation incidents during drilling operations
M Aljubran, J Ramasamy, M Albassam, A Magana-Mora
IEEE Access 9, 76833-76846, 2021
372021
A novel graph mining approach to predict and evaluate food-drug interactions
MM Rahman, SM Vadrev, A Magana-Mora, J Levman, O Soufan
Scientific reports 12 (1), 1061, 2022
232022
Hybrid model for efficient prediction of poly (A) signals in human genomic DNA
F Albalawi, A Chahid, X Guo, S Albaradei, A Magana-Mora, BR Jankovic, ...
Methods 166, 31-39, 2019
232019
Dragon TIS Spotter: an Arabidopsis-derived predictor of translation initiation sites in plants
A Magana-Mora, H Ashoor, BR Jankovic, A Kamau, K Awara, ...
Bioinformatics 29 (1), 117-118, 2013
212013
Well control space out: A deep-learning approach for the optimization of drilling safety operations
A Magana-Mora, M Affleck, M Ibrahim, G Makowski, H Kapoor, ...
IEEE Access 9, 76479-76492, 2021
202021
DANNP: an efficient artificial neural network pruning tool
M Alshahrani, O Soufan, A Magana-Mora, VB Bajic
PeerJ Comput. Sci 3 (e137), 2017
172017
Machine-learning model for the prediction of lithology porosity from surface drilling parameters
A Magana-Mora, A Ali
Abu Dhabi International Petroleum Exhibition & Conference, 2020
162020
Hybrid physics-field data approach improves prediction of ROP/drilling performance of sharp and worn PDC bits
GD Zhan, A Magana-Mora, E Moellendick, J Bomidi, X Huang, M Bird
International Petroleum Technology Conference, D012S045R015, 2021
13*2021
Recognition of translation initiation sites in Arabidopsis thaliana
H Ashoor, AM Mora, K Awara, BR Jankovic, R Chowdhary, JAC Archer, ...
Systemic approaches in bioinformatics and computational systems biology …, 2012
122012
Camera-based edge analytics for drilling optimization
CP Gooneratne, A Magana-Mora, M Affleck, WC Otalvora, GD Zhan, ...
2020 IEEE International Conference on Edge Computing (EDGE), 111-115, 2020
11*2020
Bi-Directional Long Short-Term Memory Variational Autoencoder for Real-Time Bit-Wear Estimation
TP Luu, JAR Bomidi, A Magana-Mora, A Alalsayednassir, GD Zhan
SPE Asia Pacific Oil and Gas Conference and Exhibition, D031S025R004, 2021
92021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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