Real-time moving object detection and segmentation in H.264 video streams. - Krishna Reddy Konda; Yonas Teodros Tefera; Nicola Conci; Francesco G. B. De Natale (BMSB, 2017)

Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach. - Bethelhem Seifu Shawel; Tsegamlak T. Debella; Getinet Tesfaye; Yonas Y. Tefera; Dereje H. Woldegebreal (IJCNN, 2020)

Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction. - Yonas Yehualaeshet Tefera; Tewodros Kibatu; Bethelhem Seifu Shawel; Dereje Hailemariam Woldegebreal (IJCNN, 2020)

Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine. - Yonas Y. Tefera; Maarten Meire; Stijn Luca; Peter Karsmakers (IoT Streams/ITEM@PKDD/ECML, 2020)

The Vicarios Virtual Reality Interface for Remote Robotic Teleoperation. - Abdeldjallil Naceri; Dario Mazzanti; João Bimbo; Yonas T. Tefera; Domenico Prattichizzo; Darwin G. Caldwell; Leonardo S. Mattos; Nikhil Deshpande (J. Intell. Robotic Syst., 2021)

FoReCast: Real-time Foveated Rendering and Unicasting for Immersive Remote Telepresence. - Yonas T. Tefera; Dario Mazzanti; Sara Anastasi; Darwin G. Caldwell; Paolo Fiorini; Nikhil Deshpande (ICAT-EGVE, 2022)

A Perception-Driven Approach To Immersive Remote Telerobotics. - Yonas T. Tefera; Dario Mazzanti; Sara Anastasi; Darwin G. Caldwell; Paolo Fiorini; Nikhil Deshpande (CoRR, 2022)

Towards Gaze-contingent Visualization of Real-time 3D Reconstructed Remote Scenes in Mixed Reality. - Yonas T. Tefera; Dario Mazzanti; Sara Anastasi; Darwin G. Caldwell; Paolo Fiorini; Nikhil Deshpande (AIR, 2023)

Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning. - Yonas T. Tefera; Yaesol Kim; Joaquin Vila Garcia; Darwin G. Caldwell; Sara Anastasi; Nikhil Deshpande (HITLAML, 2023)

Immersive remote telerobotics: foveated unicasting and remote visualization for intuitive interaction. - Yonas T. Tefera; Yaesol Kim; Sara Anastasi; Paolo Fiorini; Darwin G. Caldwell; Nikhil Deshpande (Robotica, 2024)

Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. - Yonas Y. Tefera; Stijn Luca; Dereje Hailemariam Woldegebreal; Peter Karsmakers (IEEE Access, 2025)

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. - Yonas Y. Tefera; Quinten Van Baelen; Maarten Meire; Stijn Luca; Peter Karsmakers (CoRR, 2025)