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ORCIDIda M. Pu
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Journal Articles
- 2014
[j3]Ida M. Pu, Daniel Stamate, Yuji Shen:
Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. J. Discrete Algorithms 24: 59-67 (2014)- 2012
- [j2]Yuji Shen, Yi-Ching Lynn Ho, Rishma Vidyasagar, George Balanos
, Xavier Golay, Ida M. Pu, Risto A. Kauppinen:
Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia. NeuroImage 59(4): 3450-3456 (2012) - 2010
- [j1]Ida M. Pu, Yuji Shen:
Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search. Math. Comput. Sci. 3(4): 443-456 (2010)
Conference and Workshop Papers
- 2023
- [c11]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. ICCCI 2023: 700-712 - 2021
- [c10]Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu:
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN 2021: 13-23 - [c9]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. ICMLA 2021: 1443-1448 - [c8]Rapheal Olaniyan, Daniel Stamate, Ida M. Pu:
A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News. AIAI 2021: 745-756 - 2019
- [c7]Rapheal Olaniyan, Daniel Stamate, Ida M. Pu, Alexander Zamyatin, Anna Vashkel, Frédéric Maréchal:
Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment. ICCCI (1) 2019: 142-153 - 2018
- [c6]Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti:
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) 2018: 691-702 - 2012
- [c5]Daniel Stamate, Ida M. Pu:
Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. IPMU (3) 2012: 181-190 - 2011
- [c4]Ida M. Pu, Yuji Shen:
A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs. WOWMOM 2011: 1-4 - 2010
- [c3]Ida M. Pu, Jinguk Kim, Yuji Shen:
Energy-time efficiency of two routing strategies with chase packets in expanding ring search. ICT 2010: 742-747 - 2009
- [c2]Ida M. Pu, Yuji Shen:
Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks. NTMS 2009: 1-5 - 2008
- [c1]Ida M. Pu, Yuji Shen, Jinguk Kim:
Measuring Energy-Time Efficiency of Protocol Performance in Mobile Ad Hoc Networks. ADHOC-NOW 2008: 475-486
Informal and Other Publications
- 2023
- [i2]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort. CoRR abs/2306.10326 (2023) - [i1]Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl:
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. CoRR abs/2306.10334 (2023)
Coauthor Index
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