PANOPTIS: A System for Intelligent Monitoring of the Hellenic Broadcast Sector. - Iason Demiros; George Carayannis; Vassilios Antonopoulos; Georgios Kambourakis; Vassilios Katsouros; Panayotis Kolevris; Marios Nottas; Harris Papageorgiou; Vassilis Papavassiliou; Spyros Raptis; Fotini Simistira; Themos Stafylakis (DEXA Workshops, 2008)

A resource-light phrase scheme for language-portable MT. - George Tambouratzis; Fotini Simistira; Sokratis Sofianopoulos; Nikolaos Tsimboukakis; Marina Vassiliou (EAMT, 2011)

Enhancing Handwritten Word Segmentation by Employing Local Spatial Features. - Fotini Simistira; Vassilis Papavassiliou; Themos Stafylakis; Vassilis Katsouros (ICDAR, 2011)

A Morphology Based Approach for Binarization of Handwritten Documents. - Vassilis Papavassiliou; Fotini Simistira; Vassilis Katsouros; George Carayannis (ICFHR, 2012)

A System for Recognition of On-Line Handwritten Mathematical Expressions. - Fotini Simistira; Vassilis Papavassiliou; Vassilis Katsouros; George Carayannis (ICFHR, 2012)

Structural analysis of online handwritten mathematical symbols based on support vector machines. - Fotini Simistira; Vassilis Papavassiliou; Vassilis Katsouros; George Carayannis (DRR, 2013)

Recognition of Spatial Relations in Mathematical Formulas. - Fotini Simistira; Vassilis Papavassiliou; Vassilis Katsouros; George Carayannis (ICFHR, 2014)

Recognition of historical Greek polytonic scripts using LSTM networks. - Fotini Simistira; Adnan Ul-Hassan; Vassilis Papavassiliou; Basilis Gatos; Vassilis Katsouros; Marcus Liwicki (ICDAR, 2015)

Recognition of online handwritten mathematical formulas using probabilistic SVMs and stochastic context free grammars. - Fotini Simistira; Vassilis Katsouros; George Carayannis (Pattern Recognit. Lett., 2015)

Creating Ground Truth for Historical Manuscripts with Document Graphs and Scribbling Interaction. - Angelika Garz; Mathias Seuret; Fotini Simistira; Andreas Fischer 002; Rolf Ingold (DAS, 2016)

Recognition of Greek Polytonic on Historical Degraded Texts Using HMMs. - Vassilis Katsouros; Vassilis Papavassiliou; Fotini Simistira; Basilis Gatos (DAS, 2016)

DIVA-HisDB: A Precisely Annotated Large Dataset of Challenging Medieval Manuscripts. - Fotini Simistira; Mathias Seuret; Nicole Eichenberger; Angelika Garz; Marcus Liwicki; Rolf Ingold (ICFHR, 2016)

ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts. - Fotini Simistira; Manuel Bouillon; Mathias Seuret; Marcel Würsch; Michele Alberti; Rolf Ingold; Marcus Liwicki (ICDAR, 2017)

Turning Document Image Analysis Methods into Web Services - An Example Using OCRopus. - Marcel Würsch; Fotini Simistira; Rolf Ingold; Marcus Liwicki (OST@ICDAR, 2017)

A Semi-automatized Modular Annotation Tool for Ancient Manuscript Annotation. - Mathias Seuret; Manuel Bouillon; Fotini Simistira; Marcel Würsch; Marcus Liwicki; Rolf Ingold (DAS, 2018)

Subword Semantic Hashing for Intent Classification on Small Datasets. - Kumar Shridhar; Amit Sahu; Ayushman Dash; Pedro Alonso; Gustav Pihlgren; Vinay Pondeknath; Fotini Simistira; Marcus Liwicki (CoRR, 2018)

iMuSciCA: Interactive Music Science Collaborative Activities for STEAM Learning. - Vassilis Katsouros; Evita F. Fotinea; Renaat Frans; Erica Andreotti; Petros Stergiopoulos; Manolis Chaniotakis; Thomas Fischer; Robert Piéchaud; Zoltan Karpati; Pierre Laborde; Daniel Martín-Albo; Fotini Simistira; et al. (Designing for the User Experience in Learning Systems, 2018)

ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. - Rajkumar Saini; Derek Dobson; Jon Morrey; Marcus Liwicki; Foteini Simistira Liwicki (ICDAR, 2019)

Subword Semantic Hashing for Intent Classification on Small Datasets. - Kumar Shridhar; Ayushman Dash; Amit Sahu; Gustav Grund Pihlgren; Pedro Alonso; Vinaychandran Pondenkandath; György Kovács 001; Foteini Simistira; Marcus Liwicki (IJCNN, 2019)

Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (IJCNN, 2020)

Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (CoRR, 2020)

Exploring Swedish & English fastText Embeddings with the Transformer. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (CoRR, 2020)

Corpora Compared: The Case of the Swedish Gigaword & Wikipedia Corpora. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (CoRR, 2020)

The Challenge of Diacritics in Yoruba Embeddings. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (CoRR, 2020)

Imagined Object Recognition Using EEG-Based Neurological Brain Signals. - Rajkumar Saini; Sameer Prabhu; Richa Upadhyay; Sumit Rakesh; Prakash Chandra Chhipa; Hamam Mokayed; Marcus Liwicki; Foteini Liwicki (RTIP2R, 2021)

Towards a Machine Learning Framework for Drill Core Analysis. - Christian Günther; Nils Jansson; Marcus Liwicki; Foteini Simistira Liwicki (SAIS, 2021)

Rock Classification with Machine Learning: a Case Study from the Zinkgruvan Zn-Pb-Ag Deposit, Bergslagen, Sweden. - Filip Simán; Nils Jansson; Tobias A. Kampmann; Foteini Liwicki (SAIS, 2021)

Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms. - Tosin P. Adewumi; Saleha Javed; Roshanak Vadoodi; Aparajita Tripathy; Konstantina Nikolaidou; Foteini Liwicki; Marcus Liwicki (CoRR, 2021)

Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (CoRR, 2021)

Exploring Swedish and English fast Text Embeddings. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (AIC, 2022)

Emotions Classification Using EEG in Health Care. - Sumit Rakesh; Foteini Liwicki; Hamam Mokayed; Richa Upadhyay; Prakash Chandra Chhipa; Vibha Gupta; Kanjar De; György Kovács 001; Dinesh Singh; Rajkumar Saini (CVMI, 2022)

Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (ICONS, 2022)

HaT5: Hate Language Identification using Text-to-Text Transfer Transformer. - Sana Sabah Sabry; Tosin P. Adewumi; Nosheen Abid; György Kovács 001; Foteini Liwicki; Marcus Liwicki (IJCNN, 2022)

Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms. - Tosin P. Adewumi; Roshanak Vadoodi; Aparajita Tripathy; Konstantina Nikolaidou; Foteini Liwicki; Marcus Liwicki (LREC, 2022)

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning. - Tosin P. Adewumi; Rickard Brännvall; Nosheen Abid; Maryam Pahlavan; Sana Sabah Sabry; Foteini Liwicki; Marcus Liwicki (NLDL, 2022)

ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language. - Tosin P. Adewumi; Lama Alkhaled; Hamam Mokayed; Foteini Liwicki; Marcus Liwicki (SemEval@NAACL, 2022)

Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (Open Comput. Sci., 2022)

ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language. - Tosin P. Adewumi; Lama Alkhaled; Hamam Alkhaled; Foteini Liwicki; Marcus Liwicki (CoRR, 2022)

Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages. - Tosin P. Adewumi; Mofetoluwa Adeyemi; Aremu Anuoluwapo; Bukola Peters; Happy Buzaaba; Samuel Oyerinde; Amina Mardiyyah Rufai; Benjamin Ajibade; Tajuddeen Gwadabe; Mory Moussou Koulibaly Traore; Tunde Ajayi; Shamsuddeen Hassan Muhammad; et al. (CoRR, 2022)

Vector Representations of Idioms in Conversational Systems. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (CoRR, 2022)

Deep Neural Network approaches for Analysing Videos of Music Performances. - Foteini Simistira Liwicki; Richa Upadhyay; Prakash Chandra Chhipa; Killian Murphy; Federico Visi; Stefan Östersjö; Marcus Liwicki (CoRR, 2022)

T5 for Hate Speech, Augmented Data and Ensemble. - Tosin P. Adewumi; Sana Sabah Sabry; Nosheen Abid; Foteini Liwicki; Marcus Liwicki (CoRR, 2022)

State-of-the-Art in Open-Domain Conversational AI: A Survey. - Tosin P. Adewumi; Foteini Liwicki; Marcus Liwicki (Inf., 2022)

ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. - Yejing Xie; Harold Mouchère; Foteini Simistira Liwicki; Sumit Rakesh; Rajkumar Saini; Masaki Nakagawa; Cuong Tuan Nguyen; Thanh-Nghia Truong (ICDAR (2), 2023)

AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. - Tosin P. Adewumi; Mofetoluwa Adeyemi; Aremu Anuoluwapo; Bukola Peters; Happy Buzaaba; Oyerinde Samuel; Amina Mardiyyah Rufai; Benjamin Ajibade; Tajudeen Gwadabe; Mory Moussou Koulibaly Traore; Tunde Oluwaseyi Ajayi; Shamsuddeen Hassan Muhammad; et al. (IJCNN, 2023)

A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. - Mattias Nilsson 001; Ton Juny Pina; Lyes Khacef; Foteini Liwicki; Elisabetta Chicca; Fredrik Sandin (IJCNN, 2023)

Bipol: Multi-Axes Evaluation of Bias with Explainability in Benchmark Datasets. - Tosin P. Adewumi; Isabella Södergren; Lama Alkhaled; Sana Sabah Al-Azzawi; Foteini Simistira Liwicki; Marcus Liwicki (RANLP, 2023)

Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets. - Tosin P. Adewumi; Isabella Södergren; Lama Alkhaled; Sana Sabah Sabry; Foteini Liwicki; Marcus Liwicki (CoRR, 2023)

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. - 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; et al. (CoRR, 2023)

ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. - Yejing Xie; Harold Mouchère; Foteini Simistira Liwicki; Sumit Rakesh; Rajkumar Saini; Masaki Nakagawa; Cuong Tuan Nguyen; Thanh-Nghia Truong (Zenodo, 2023)

Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data. - 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; et al. (EMBC, 2024)

An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features. - Rajkumar Saini; Richa Upadhyay; Vibha Gupta; Prakash Chandra Chhipa; Sumit Rakesh; Hamam Mokayed; Kanjar De; Foteini Simistira Liwicki; Debashis Das Chakladar (ICFSP, 2024)

Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer. - Debashis Das Chakladar; Anand Shankar; Foteini Liwicki; Shovan Barma; Rajkumar Saini (ICPR (11), 2024)

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders. - Debashis Das Chakladar; Foteini Simistira Liwicki; Rajkumar Saini (MICCAI (2), 2024)

Modularized Brain Network for Eliminating Volume Conduction Effects. - Debashis Das Chakladar; Foteini Simistira Liwicki (SMC, 2024)

Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning. - Tosin P. Adewumi; Foteini Simistira Liwicki; Marcus Liwicki; Viktor Gardelli; Lama Alkhaled; Hamam Mokayed (CoRR, 2025)