Gereziher Adhane

15 papers A 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge.
IEEE Veh. Technol. Mag.
Akram Boutouchent, Abdelkader Mekrache, Adlen Ksentini, Gereziher Adhane, João Pedro Celestino da Fonseca, Joseph McNamara, Kostas Ramantas, Marco Palena, Marius Iordache, Renato Lo Cigno, Salwa Mostafa, Swastika Roy, Christos V. Verikoukis
2025 — conf
ARGVI: Adaptive Routing, Generation, and Validation of Intents for Intent-Driven Management.
NFV-SDN
Nikos Raptis, Gereziher Adhane, João Pedro Fonseca, Kostas Ramantas, Christos V. Verikoukis
2025 — conf
LLM-based Conversational Assistant for Intent-driven Management.
NFV-SDN
Gereziher Adhane, João Pedro Fonseca, Konstantinos Togias, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, Christos V. Verikoukis
2025 A conf
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process.
WACV
Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2024 J jnl
ADVISE: ADaptive feature relevance and VISual Explanations for convolutional neural networks.
Vis. Comput.
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
2024 — conf
Intent-Driven Deployment and Live Migration Using LLM.
CAMAD
João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
2024 J jnl
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process.
CoRR
Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2024 — conf
Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC
CAMAD
Jhofre Ojeda, Dimitrios Amaxilatis, Nikolaos Tsironis, Themistoklis Sarantakos, João Fonseca, Gereziher Adhane, Golshan Famitafreshi, Swastika Roy, Shreya K. Chari, Navideh Ghafouri, Kostas Ramantas, Christos V. Verikoukis
2024 — conf
Realizing Intent-Driven Network Management with TM Forum Standards.
CAMAD
João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
2022 J jnl
ADVISE: ADaptive Feature Relevance and VISual Explanations for Convolutional Neural Networks.
CoRR
Mohammad Mahdi Dehshibi, Mona Ashtari-Majlan, Gereziher Adhane, David Masip
2022 — conf
Incorporating Reinforcement Learning for Quality-aware Sample Selection in Deep Architecture Training.
COINS
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2022 J jnl
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes.
IEEE J. Sel. Top. Signal Process.
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021 J jnl
A Deep Convolutional Neural Network for Classification of Aedes Albopictus Mosquitoes.
IEEE Access
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021 J jnl
A deep convolutional neural network for classification of Aedes albopictus mosquitoes.
CoRR
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip
2021 J jnl
On the use of uncertainty in classifying Aedes Albopictus mosquitoes.
CoRR
Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip