Marinos Poiitis

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 9

Top Topics

Train A Neural Network

Backpropagation Algorithm

Online Social Networks

Top Venues

Publications

Marinos Poiitis, Athena Vakali, Nicolas Kourtellis
On the Aggression Diffusion Modeling and Minimization in Twitter. ACM Trans. Web 16 (1) (2022)
Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning. WI/IAT (2022)
Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs. World Wide Web 25 (6) (2022)
Andreas Loukas, Marinos Poiitis, Stefanie Jegelka
What training reveals about neural network complexity. NeurIPS (2021)
Andreas Loukas, Marinos Poiitis, Stefanie Jegelka
What training reveals about neural network complexity. CoRR (2021)
Zoe Valero-Ramon, Pedro Louro, Luis Irio, Ilias Dimitriadis, Marinos Poiitis, Theodoros Toliopoulos, Paraskevas Lagakis, Georgios Petridis, Nikolaos Papachristou, Francisco J. Núñez-Benjumea, Santiago Hors-Fraile, Athena Vakali, Anastasios Gounaris, Dany Shapiro, Juan-Carlos Naranjo, Sofia Levva, Antonis Billis, Vicente Traver, Panagiotis D. Bamidis
A Collective Intelligence Platform to Support Older Cancer Survivors: Towards the Definition of LifeChamps System and Big Data Reference Architecture. MedInfo (2021)
Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning. CoRR (2021)
Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena Vakali
TRIAGE: Temporal Twitter attribute graph patterns. WIMS (2020)
Marinos Poiitis, Athena Vakali, Nicolas Kourtellis
On the Aggression Diffusion Modeling and Minimization in Online Social Networks. CoRR (2020)