Measuring Energy-Time Efficiency of Protocol Performance in Mobile Ad Hoc Networks. - Ida M. Pu; Yuji Shen; Jinguk Kim (ADHOC-NOW, 2008)

Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks. - Ida M. Pu; Yuji Shen (NTMS, 2009)

Energy-time efficiency of two routing strategies with chase packets in expanding ring search. - Ida M. Pu; Jinguk Kim; Yuji Shen (ICT, 2010)

Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search. - Ida M. Pu; Yuji Shen (Math. Comput. Sci., 2010)

A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs. - Ida M. Pu; Yuji Shen (WOWMOM, 2011)

Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. - Daniel Stamate; Ida M. Pu (IPMU (3), 2012)

Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia. - Yuji Shen; Yi-Ching Lynn Ho; Rishma Vidyasagar; George Balanos; Xavier Golay; Ida M. Pu; Risto A. Kauppinen (NeuroImage, 2012)

Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. - Ida M. Pu; Daniel Stamate; Yuji Shen (J. Discrete Algorithms, 2014)

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. - Daniel Stamate; Wajdi Alghamdi; Daniel Stahl; Ida M. Pu; Fionn Murtagh; Danielle Belgrave; Robin M. Murray; Marta Di Forti (IPMU (3), 2018)

Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment. - Rapheal Olaniyan; Daniel Stamate; Ida M. Pu; Alexander Zamyatin; Anna Vashkel; Frédéric Maréchal (ICCCI (1), 2019)

Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. - Mihai Ermaliuc; Daniel Stamate; George D. Magoulas; Ida M. Pu (EANN, 2021)

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (ICMLA, 2021)

A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News. - Rapheal Olaniyan; Daniel Stamate; Ida M. Pu (AIAI, 2021)

Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (ICCCI, 2023)

Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort. - Henry Musto; Daniel Stamate; Ida M. Pu; Daniel Stahl (CoRR, 2023)