Ioannis Theocharis – Senior Software Engineering Consultant – Aleph N GmbH | LinkedIn
GenderTrendsInCardiology/uniquefirsts.csv at master · douyang/GenderTrendsInCardiology · GitHub
PDF) Comparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction
vokativ-xml/jmena.txt at master · kozleek/vokativ-xml · GitHub
Stylianos I. Venieris | Home
PDF) A novel FPGA-based test-bench framework for SDI stream verification
PDF) Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis | Björn Ross - Academia.edu
Nordic-Name-Data/Sweden_male_names.txt at master · stcoats/Nordic-Name-Data · GitHub
Ioannis Theocharis – Senior Software Engineering Consultant – Aleph N GmbH | LinkedIn
Cancers | Announcements
Ioannis Theocharis – Senior Software Engineering Consultant – Aleph N GmbH | LinkedIn
Research/BelgiumMaleUTF8.csv at master · alt-code/Research · GitHub
dblp.yaml/adhoc.yaml at master · davidar/dblp.yaml · GitHub
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech
citation-resources/author-first at master · kedarbellare/citation-resources · GitHub
arXiv:2301.11579v1 [cs.SI] 27 Jan 2023
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech
LAKData/LAK-checkpoint.json at master · xaoch/LAKData · GitHub
alfred/person_match.train2 at master · jorgetravieso/alfred · GitHub
PDF) Kinoscope: An Open-Source Computer Program for Behavioral Pharmacologists
Technical Program and Book of Abstracts
Symposia | IEEE ICC 2018 - IEEE International Conference on Communications
Ioannis VLACHOS | Co-Director of the Bioinformatics Program, Cancer Research Institute | PhD | Beth Israel Deaconess Medical Center, Boston | BIDMC | Department of Pathology | Research profile
Human-Computer Interaction: Publications - Microsoft Research
Dimosthenis Theocharis - Software Engineer - SGA G. Avramidis S.A. | LinkedIn
Drug Repurposing: A New Hope in Drug Discovery for Prostate Cancer | ACS Omega
PDF) Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning
