Haris Pozidis

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Anomaly Detection

Dense Subgraphs

Storage Systems

Top Venues

Publications

Jovan Blanusa, Maximo Cravero Baraja, Andreea Anghel, Luc von Niederhäusern, Erik Altman, Haris Pozidis, Kubilay Atasu
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs. CoRR (2024)
Dionysios Diamantopolous, Roman A. Pletka, Slavisa Sarafijanovic, A. L. Narasimha Reddy, Haris Pozidis
WannaLaugh: A Configurable Ransomware Emulator - Learning to Mimic Malicious Storage Traces. CoRR (2024)
Frederic Boesel, Livio Schläpfer, Haris Pozidis, Mitch Gusat
Multivariate Anomaly Detection with Domain Clustering. SoCC (2023)
Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting. AAAI (2022)
Cédric Lichtenau, Alper Buyuktosunoglu, Ramon Bertran, Peter Figuli, Christian Jacobi, Nikolaos Papandreou, Haris Pozidis, Anthony Saporito, Andrew Sica, Elpida Tzortzatos
AI accelerator on IBM telum processor: industrial product. ISCA (2022)
Roman A. Pletka, Nikolaos Papandreou, Radu Stoica, Haris Pozidis, Nikolas Ioannou, Tim Fisher, Aaron Fry, Kip Ingram, Andrew Walls
Improving NAND flash performance with read heat separation. MASCOTS (2020)
Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. IJCAI (2020)
Radu Stoica, Roman A. Pletka, Nikolas Ioannou, Nikolaos Papandreou, Sasa Tomic, Haris Pozidis
Understanding the Design Trade-Offs of Hybrid Flash Controllers. MASCOTS (2019)
Haris Pozidis
Snap ML - Accelerated Machine Learning for Big Data (Keynote Abstract). OPODIS (2019)
Dimitrios Sarigiannis, Thomas P. Parnell, Haris Pozidis
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. CoRR (2019)
Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
Breadth-first, Depth-next Training of Random Forests. CoRR (2019)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning using GPUs. CoRR (2017)
Junho Cheon, Insoo Lee, Changyong Ahn, Milos Stanisavljevic, Aravinthan Athmanathan, Nikolaos Papandreou, Haris Pozidis, Evangelos Eleftheriou, Min-Chul Shin, Taekseung Kim, Jong-Ho Kang, Jun Hyun Chun
Non-resistance metric based read scheme for multi-level PCRAM in 25 nm technology. CICC (2015)
Aravinthan Athmanathan, Milos Stanisavljevic, Junho Cheon, Seokjoon Kang, Changyong Ahn, Junghyuk Yoon, Min-Chul Shin, Taekseung Kim, Nikolaos Papandreou, Haris Pozidis, Evangelos Eleftheriou
A 6-bit drift-resilient readout scheme for multi-level Phase-Change Memory. A-SSCC (2014)