Multimodal Speaker Recognition in a Conversation Scenario. - Maria Letizia Marchegiani; Fiora Pirri; Matia Pizzoli (ICVS, 2009)

What to measure next to improve decision making? On top-down task driven feature saliency. - Lars Kai Hansen; Seliz G. Karadogan; Letizia Marchegiani (CCMB, 2011)

How efficient is estimation with missing data? - Seliz G. Karadogan; Letizia Marchegiani; Lars Kai Hansen; Jan Larsen (ICASSP, 2011)

The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. - Letizia Marchegiani; Seliz G. Karadogan; Tobias Andersen; Jan Larsen; Lars Kai Hansen (ICMLA (1), 2011)

Top-down attentionwith features missing at random. - Seliz G. Karadogan; Letizia Marchegiani; Jan Larsen; Lars Kai Hansen (MLSP, 2011)

A Behavioral Study on the Effects of Rock Music on Auditory Attention. - Letizia Marchegiani; Xenofon Fafoutis (HBU, 2013)

Scheduled perception for energy-efficient path following. - Peter Ondruska; Corina Gurau; Letizia Marchegiani; Chi Hay Tong; Ingmar Posner (ICRA, 2015)

Enabling intelligent energy management for robots using publicly available maps. - Oliver Bartlett; Corina Gurau; Letizia Marchegiani; Ingmar Posner (IROS, 2016)

Top-Down Attention Modelling in a Cocktail Party Scenario. - Letizia Marchegiani (2016)

Leveraging the urban soundscape: Auditory perception for smart vehicles. - Letizia Marchegiani; Ingmar Posner (ICRA, 2017)

Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems. - Xenofon Fafoutis; Letizia Marchegiani; Georgios Z. Papadopoulos; Robert J. Piechocki; Theo Tryfonas; George C. Oikonomou (IEEE Signal Process. Lett., 2017)

Long-Term Driving Behaviour Modelling for Driver Identification. - Letizia Marchegiani; Ingmar Posner (ITSC, 2018)

Learning to Listen to Your Ego-(motion): Metric Motion Estimation from Auditory Signals. - Letizia Marchegiani; Paul Newman 001 (TAROS, 2018)

Extending the battery lifetime of wearable sensors with embedded machine learning. - Xenofon Fafoutis; Letizia Marchegiani; Atis Elsts; James Pope; Robert J. Piechocki; Ian Craddock (WF-IoT, 2018)

Rethinking IoT Network Reliability in the Era of Machine Learning. - Xenofon Fafoutis; Letizia Marchegiani (iThings/GreenCom/CPSCom/SmartData, 2019)

Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions Through Monte-Carlo Planning in POMDP Environments. - Dimitri Ognibene; Lorenzo Mirante; Letizia Marchegiani (ICSR, 2019)

No Need to Scream: Robust Sound-Based Speaker Localisation in Challenging Scenarios. - Tze Ho Elden Tse; Daniele De Martini; Letizia Marchegiani (ICSR, 2019)

Word Spotting in Background Music: a Behavioural Study. - Letizia Marchegiani; Xenofon Fafoutis (Cogn. Comput., 2019)

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments. - Bruna G. Maciel-Pearson; Letizia Marchegiani; Samet Akcay; Amir Atapour Abarghouei; James Garforth; Toby P. Breckon (CoRR, 2019)

Thermal Imaging on Smart Vehicles for Person and Road Detection: Can a Lazy Approach Work? - Galadrielle Humblot-Renaux; Vivian Li; Daniela Pinto; Letizia Marchegiani (ITSC, 2020)

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. - David S. W. Williams; Daniele De Martini; Matthew Gadd; Letizia Marchegiani; Paul Newman 001 (ITSC, 2020)

Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. - Matthew Gadd; Daniele De Martini; Letizia Marchegiani; Paul Newman 001; Lars Kunze (IV, 2020)

From Bits of Data to Bits of Knowledge - An On-Board Classification Framework for Wearable Sensing Systems. - Pawel Zalewski; Letizia Marchegiani; Atis Elsts; Robert J. Piechocki; Ian Craddock; Xenofon Fafoutis (Sensors, 2020)

Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value. - Petar Popovski; Federico Chiariotti; Victor Croisfelt; Anders E. Kalør; Israel Leyva-Mayorga; Letizia Marchegiani; Shashi Raj Pandey; Beatriz Soret (CoRR, 2021)

A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges. - Fabian Fernando Jurado Lasso; Letizia Marchegiani; Jesús Fabian Jurado; Adnan M. Abu-Mahfouz; Xenofon Fafoutis (IEEE Access, 2022)

Editorial: Active Vision and Perception in Human-Robot Collaboration. - Dimitri Ognibene; Tom Foulsham; Letizia Marchegiani; Giovanni Maria Farinella (Frontiers Neurorobotics, 2022)

How Well Can Driverless Vehicles Hear? An Introduction to Auditory Perception for Autonomous and Smart Vehicles. - Letizia Marchegiani; Xenofon Fafoutis (IEEE Intell. Transp. Syst. Mag., 2022)

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images. - Galadrielle Humblot-Renaux; Letizia Marchegiani; Thomas B. Moeslund; Rikke Gade (IEEE Robotics Autom. Lett., 2022)

Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. - Letizia Marchegiani; Paul Newman 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Short-Term Wireless Connectivity Prediction for Connected Agricultural Vehicles. - Brynjar Örn Grétarsson; Charalampos Orfanidis; Letizia Marchegiani; Xenofon Fafoutis (ITSC, 2023)

A machine learning framework for acoustic reflector mapping. - Usama Saqib; Letizia Marchegiani; Jesper Rindom Jensen (CoRR, 2024)

OORD: The Oxford Offroad Radar Dataset. - Matthew Gadd; Daniele De Martini; Oliver Bartlett; Paul Murcutt; Matthew Towlson; Matthew Widojo; Valentina Musat; Luke Robinson; Efimia Panagiotaki; Georgi Pramatarov; Marc Alexander Kühn; Letizia Marchegiani; et al. (IEEE Trans. Intell. Transp. Syst., 2024)