Foteini Simistira Liwicki

17 papers A 1B 1C 1Misc 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 C conf
I Know What You Are Thinking: A Journey from Symbols to Minds.
ICPRAM
Foteini Simistira Liwicki
2025 — conf
Continual Learning for EEG-Based Multiple Neurological Disorder Classification.
MCHM@MM
Ankit Malviya, Debashis Das Chakladar, Chandresh Kumar Maurya, Foteini Simistira Liwicki
2025 J jnl
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning.
CoRR
Tosin P. Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed
2025 J jnl
Findings of Mega: Math explanation with LLMs using the socratic method for active learning.
IEEE Signal Process. Mag.
Tosin P. Adewumi, Foteini Simistira Liwicki, Marcus Liwicki, Viktor Gardelli, Lama Alkhaled, Hamam Mokayed
2024 — conf
An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features.
ICFSP
Rajkumar Saini, Richa Upadhyay, Vibha Gupta, Prakash Chandra Chhipa, Sumit Rakesh, Hamam Mokayed, Kanjar De, Foteini Simistira Liwicki, Debashis Das Chakladar
2024 — conf
Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data.
EMBC
Scott Wellington, Holly Wilson, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Damien Coyle, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2024 B conf
Modularized Brain Network for Eliminating Volume Conduction Effects.
SMC
Debashis Das Chakladar, Foteini Simistira Liwicki
2024 — conf
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders.
MICCAI (2)
Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini
2024 J jnl
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders.
CoRR
Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini
2023 Misc conf
Bipol: Multi-Axes Evaluation of Bias with Explainability in Benchmark Datasets.
RANLP
Tosin P. Adewumi, Isabella Södergren, Lama Alkhaled, Sana Sabah Al-Azzawi, Foteini Simistira Liwicki, Marcus Liwicki
2023 — conf
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions.
ICDAR (2)
Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong
2023 J jnl
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.
CoRR
Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Gunnar Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2022 J jnl
Deep Neural Network approaches for Analysing Videos of Music Performances.
CoRR
Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki
2021 — conf
Towards a Machine Learning Framework for Drill Core Analysis.
SAIS
Christian Günther, Nils Jansson, Marcus Liwicki, Foteini Simistira Liwicki
2020 — conf
Analysing Musical Performance in Videos Using Deep Neural Networks.
AIMC
Foteini Simistira Liwicki, Marcus Liwicki, Pedro Malo Perise, Federico Ghelli Visi, Stefan Östersjö
2019 A conf
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records.
ICDAR
Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki
2019 J jnl
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records.
CoRR
Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki