Hi, I am Ephrem, a PhD student at Technological University Dublin, where I work on the explainability of deep neural networks. Previously, I worked as a Research Intern at Bruno Kessler Foundation for eight-plus months. Currently, I am also participating in the machine learning part of the HappyMaths
project led by my supervisor ( Dr. Pierpaolo Dondio)
My research interests are Explainable AI, Deep Learning, and Machine Learning.
May 2022 - July 2022
March 2022 - April 2022
February 2021 - October 2021
September 2017 - August 2019
July 2016 - September 2016
October 2022 - September 2026
September 2019 - December 2021
September 2013 - July 2017
Given the tweet dataset about covid-19, and the idea of the project is to find frequent popular words that appear together in time. It is implemented fully in python.
Implementing a protocol for the coordination of a group of replicas, sharing the same data, that tolerates multiple node failures thanks to a Quorum-based approach.The system handles update requests coming from external clients and guarantees all replicas apply the update in the same order. Updates are managed by a special replicas, the coordinator, following a two-phase broadcast procedure. if the coordinator crashes, a new one is elected to ensure continuity of service. It is coded in Java (Using Akka framework)
ICASSP
END-TO-END LOW RESOURCE KEYWORD SPOTTING THROUGH CHARACTER RECOGNITION AND BEAM-SEARCH RE-SCORING
Mekonnen, Ephrem; Brutti, Alessio and Falavigna, Daniele
In 2022 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP)
XAI-2023
Mekonnen, Ephrem; Dondio, Pierpaolo and Longo, Luca
xAI-2023 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings
Frontiers-in-AI
Mekonnen, Ephrem; Dondio, Pierpaolo and Longo, Luca
Frontiers in Artificial Intelligence Journal
XAI-2024
Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives
Mekonnen, Ephrem; Longo, Luca and Dondio, Pierpaolo
xAI-2024 Late-breaking Work, Demos and Doctoral Consortium Joint Proceedings
© 2024 Ephrem Mekonnen