A neural network learning algorithm for adaptive principal component extraction (APEX). - Sun-Yuan Kung; Kostas I. Diamantaras (ICASSP, 1990)

Implementation of Neural Network Algorithms on the P3 Parallel Associative Processor. - Konstantinos I. Diamantaras; David L. Heine; Isaac D. Scherson (ICPP (1), 1990)

An unsupervised neural model for oriented principal component extraction. - Kostas I. Diamantaras; Sun-Yuan Kung (ICASSP, 1991)

A new transition count method for testing of logic circuits. - Konstantinos I. Diamantaras; Niraj K. Jha (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1991)

Resolving Motion Ambiguities. - Kostas I. Diamantaras; Davi Geiger (NIPS, 1993)

Occlusion ambiguities in motion. - Davi Geiger; Kostas I. Diamantaras (ECCV (1), 1994)

Multilayer neural networks for reduced-rank approximation. - Konstantinos I. Diamantaras; Sun-Yuan Kung (IEEE Trans. Neural Networks, 1994)

Cross-correlation neural network models. - Konstantinos I. Diamantaras; Sun-Yuan Kung (IEEE Trans. Signal Process., 1994)

Adaptive Principal component EXtraction (APEX) and applications. - Sun-Yuan Kung; Konstantinos I. Diamantaras; Jin-Shiuh Taur (IEEE Trans. Signal Process., 1994)

Camera motion parameter recovery under perspective projection. - Konstantinos I. Diamantaras; Michael G. Strintzis (ICIP (3), 1996)

Robust principal component extracting neural networks. - Konstantinos I. Diamantaras (ICNN, 1996)

Dynamic programming implementation on array processor architectures. - Konstantinos I. Diamantaras; W. H. Chou; Sun-Yuan Kung (J. VLSI Signal Process., 1996)

Noisy PCA theory and application in filter bank codec design. - Konstantinos I. Diamantaras; Michael G. Strintzis (ICASSP, 1997)

A Linear Systolic Array for Real-Time Morphological Image Processing. - Konstantinos I. Diamantaras; Sun-Yuan Kung (J. VLSI Signal Process., 1997)

Second order Hebbian neural networks and blind source separation. - Konstantinos I. Diamantaras (EUSIPCO, 1998)

Total Least Squares 3-D Motion Estimation. - Konstantinos I. Diamantaras; Theophilos Papadimitriou; Michael G. Strintzis; Manos Roumeliotis (ICIP (1), 1998)

Robust hebbian learning and noisy principal component analysis. - Konstantinos I. Diamantaras (Int. J. Comput. Math., 1998)

ECG pattern recognition and classification using non-linear transformations and neural networks: A review. - Nicos Maglaveras; Telemachos Stamkopoulos; Konstantinos I. Diamantaras; Costas Pappas; Michael G. Strintzis (Int. J. Medical Informatics, 1998)

Neural classifiers using one-time updating. - Konstantinos I. Diamantaras; Michael G. Strintzis (IEEE Trans. Neural Networks, 1998)

ECG analysis using nonlinear PCA neural networks for ischemia detection. - Telemachos Stamkopoulos; Kostas I. Diamantaras; Nikolaos Maglaveras; Michael G. Strintzis (IEEE Trans. Signal Process., 1998)

Blind equalization of multiuser CDMA channels: a frequency-domain approach. - Konstantinos I. Diamantaras; Athina P. Petropulu (ICASSP, 1999)

Robust estimation of rigid body 3-D motion parameters from point correspondences. - Theophilos Papadimitriou; Konstantinos I. Diamantaras; Michael G. Strintzis; Manos Roumeliotis (ICASSP, 1999)

Adaptive blind MIMO system identification using principal component neural models. - Konstantinos I. Diamantaras; Athina P. Petropulu (IJCNN, 1999)

Optimal transform coding in the presence of quantization noise. - Konstantinos I. Diamantaras; Michael G. Strintzis (IEEE Trans. Image Process., 1999)

Optimal linear compression under unreliable representation and robust PCA neural models. - Konstantinos I. Diamantaras; Kurt Hornik; Michael G. Strintzis (IEEE Trans. Neural Networks, 1999)

Blind separation of multiple binary sources using a single linear mixture. - Konstantinos I. Diamantaras (ICASSP, 2000)

A Novel Rigid Object Segmentation Method Based on Multiresolution 3-D Motion and Luminance Analysis. - Theophilos Papadimitriou; Konstantinos I. Diamantaras; Michael G. Strintzis; Manos Roumeliotis (ICIP, 2000)

Optimal reconstruction from quantized data. - Konstantinos I. Diamantaras; Michael G. Strintzis; Iordanis Sarafidis (Signal Process. Image Commun., 2000)

Robust estimation of rigid-body 3-D motion parameters based on point correspondences. - Theophilos Papadimitriou; Konstantinos I. Diamantaras; Michael G. Strintzis; Manos Roumeliotis (IEEE Trans. Circuits Syst. Video Technol., 2000)

Blind two-input-two-output FIR channel identification based on frequency domain second-order statistics. - Konstantinos I. Diamantaras; Athina P. Petropulu; Binning Chen (IEEE Trans. Signal Process., 2000)

Blind Source Separation Using Principal Component Neural Networks. - Konstantinos I. Diamantaras (ICANN, 2001)

Occlusion resistant object tracking. - Evangelos Loutas; Ioannis Pitas; Konstantinos I. Diamantaras (ICIP (2), 2001)

Blind identification of linear channels using the data constellation geometry. - Konstantinos I. Diamantaras (ISSPA, 2001)

Subspace design of low-rank estimators for higher-order statistics. - Ivan Bradaric; Athina P. Petropulu; Konstantinos I. Diamantaras (J. Frankl. Inst., 2002)

Experimental User-Centered Evaluation of an Open Hypermedia System and Web Information Seeking Environments. - Michail Salampasis; Konstantinos I. Diamantaras (J. Digit. Inf., 2002)

Blind channel identification based on the geometry of the received signal constellation. - Konstantinos I. Diamantaras (IEEE Trans. Signal Process., 2002)

Blind signal separation using oriented PCA neural models. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICASSP (2), 2003)

Temporal filtering and oriented PCA neural networks for blind source separation. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (NNSP, 2003)

On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics. - Ivan Bradaric; Athina P. Petropulu; Konstantinos I. Diamantaras (IEEE Trans. Signal Process., 2003)

Blind MIMO FIR channel identification based on second-order spectra correlations. - Ivan Bradaric; Athina P. Petropulu; Konstantinos I. Diamantaras (IEEE Trans. Signal Process., 2003)

Blind Deconvolution of SISO Systems with Binary Source Based on Recursive Channel Shortening. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICA, 2004)

MIMO blind deconvolution using subspace-based filter deflation. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICASSP (4), 2004)

Video scene segmentation using spatial contours and 3-D robust motion estimation. - Theophilos Papadimitriou; Konstantinos I. Diamantaras; Michael G. Strintzis; Manos Roumeliotis (IEEE Trans. Circuits Syst. Video Technol., 2004)

Blind separation of reflections using the image mixtures ratio. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICIP (2), 2005)

A channel deflation approach for the blind deconvolution of a complex FIR channel with real input. - Konstantinos I. Diamantaras; Theophilos Papadimitriou; Efthimios Kotsialos (EUSIPCO, 2006)

Greek Named Entity Recognition using Support Vector Machines, Maximum Entropy and Onetime. - Ionas Michailidis; Konstantinos I. Diamantaras; Spiros Vasileiadis; Yannick Frère (LREC, 2006)

A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture. - Konstantinos I. Diamantaras (Signal Process., 2006)

Subspace-Based Channel Shortening for the Blind Separation of Convolutive Mixtures. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (IEEE Trans. Signal Process., 2006)

Blind Deconvolution of Multi-Input Single-Output Systems With Binary Sources. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (IEEE Trans. Signal Process., 2006)

Analytical Solution of the Blind Identification Problem for Multichannel FIR Systems Based on Second Order Statistics. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICASSP (3), 2007)

Blind system identification: instantaneous mixtures of n sources. - Nikos Kofidis; Athanasios Margaris; Konstantinos I. Diamantaras; Manos Roumeliotis (Int. J. Comput. Math., 2008)

An Efficient Subspace Method for the Blind Identification of Multichannel FIR Systems. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (IEEE Trans. Signal Process., 2008)

Histogram Based Blind Identification and Source Separation from Linear Instantaneous Mixtures. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (ICA, 2009)

Applying PCA neural models for the blind separation of signals. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (Neurocomputing, 2009)

Separating two binary sources from a single nonlinear mixture. - Konstantinos I. Diamantaras; Konstantinos Papadimitriou (ICASSP, 2010)

Motion Descriptors for Semantic Video Indexing. - Markos Zampoglou; Theophilos Papadimitriou; Konstantinos I. Diamantaras (SIGMAP, 2010)

Guest Editorial: Special Issue on Machine Learning for Signal Processing. - Ioannis Pitas; Vince D. Calhoun; Konstantinos I. Diamantaras (J. Signal Process. Syst., 2010)

From Low-Level Features to Semantic Classes: Spatial and Temporal Descriptors for Video Indexing. - Markos Zampoglou; Theophilos Papadimitriou; Konstantinos I. Diamantaras (J. Signal Process. Syst., 2010)

Blind separation of multiple binary sources from one nonlinear mixture. - Konstantinos I. Diamantaras; Theophilos Papadimitriou; Gabriela Vranou (ICASSP, 2011)

Editorial for the special issue ICANN-2010. - Kostas I. Diamantaras; Lazaros S. Iliadis (Neural Networks, 2011)

Trends in Machine Learning for Signal Processing [In the Spotlight]. - Tülay Adali; David J. Miller 001; Konstantinos I. Diamantaras; Jan Larsen (IEEE Signal Process. Mag., 2011)

Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (J. Signal Process. Syst., 2011)

Towards minimizing the energy of slack variables for binary classification. - Margarita Kotti; Konstantinos I. Diamantaras (EUSIPCO, 2012)

Binary classification by minimizing the mean squared slack. - Konstantinos I. Diamantaras; Margarita Kotti (ICASSP, 2012)

Blind identification of PAM-MIMO systems based on the distribution of output differences. - Konstantinos I. Diamantaras; Theophilos Papadimitriou (EUSIPCO, 2013)

Ridge-adjusted Slack Variable Optimization for supervised classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (MLSP, 2013)

Multi-Input Single-Output Nonlinear Blind Separation of Binary Sources. - Konstantinos I. Diamantaras; Gabriela Vranou; Theophilos Papadimitriou (IEEE Trans. Signal Process., 2013)

Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (EUSIPCO, 2014)

Analyzing data into quantized components. - Konstantinos I. Diamantaras; Theophilos Papadimitriou; Konstantinos Goulianas (ICASSP, 2014)

Efficient data classification by GPU-accelerated linear mean squared slack minimization. - George A. Papakostas; Konstantinos I. Diamantaras (MLSP, 2014)

A metaheuristic bandwidth allocation scheme for FiWi networks using Ant Colony Optimization. - Panagiotis G. Sarigiannidis; Malamati D. Louta; Georgios I. Papadimitriou; Petros Nicopolitidis; Konstantinos I. Diamantaras; Ilenia Tinnirello; Christos V. Verikoukis (SCVT, 2015)

Market sentiment and exchange rate directional forecasting. - Vasilios Plakandaras; Theophilos Papadimitriou; Periklis Gogas; Konstantinos I. Diamantaras (Algorithmic Finance, 2015)

Machine Learning Sentiment Prediction based on Hybrid Document Representation. - Panagiotis Stalidis; Maria Giatsoglou; Konstantinos I. Diamantaras; George Sarigiannidis; Konstantinos Ch. Chatzisavvas (CoRR, 2015)

Efficient binary classification through energy minimisation of slack variables. - Margarita Kotti; Konstantinos I. Diamantaras (Neurocomputing, 2015)

A comparison of machine learning techniques for customer churn prediction. - Thanasis Vafeiadis; Konstantinos I. Diamantaras; George Sarigiannidis; Konstantinos Ch. Chatzisavvas (Simul. Model. Pract. Theory, 2015)

Adaptive margin slack minimization in RKHS for classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (ICASSP, 2016)

Efficient Support Vector Machine Classification Using Prototype Selection and Generation. - Stefanos Ougiaroglou; Konstantinos I. Diamantaras; Georgios Evangelidis 001 (AIAI, 2016)

Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition. - Konstantinos I. Diamantaras; Sun-Yuan Kung (MLSP, 2016)

Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (MLSP, 2016)

Airfare prices prediction using machine learning techniques. - Konstantinos Tziridis; Th. Kalampokas; George A. Papakostas; Kostas I. Diamantaras (EUSIPCO, 2017)

Emerging Trends in Machine Learning for Signal Processing. - George A. Papakostas; Konstantinos I. Diamantaras; Francesco A. N. Palmieri (Comput. Intell. Neurosci., 2017)

Sentiment analysis leveraging emotions and word embeddings. - Maria Giatsoglou; Manolis G. Vozalis; Konstantinos I. Diamantaras; Athena Vakali; George Sarigiannidis; Konstantinos Ch. Chatzisavvas (Expert Syst. Appl., 2017)

Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm. - George A. Papakostas; Konstantinos I. Diamantaras; Theophilos Papadimitriou (J. Parallel Distributed Comput., 2017)

Margin-Based Sample Filtering for Image Classification Using Convolutional Neural Networks. - Pantelis I. Kaplanoglou; Konstantinos I. Diamantaras (ICIP, 2018)

Exploring the effect of data reduction on Neural Network and Support Vector Machine classification. - Stefanos Ougiaroglou; Konstantinos I. Diamantaras; Georgios Evangelidis 001 (Neurocomputing, 2018)

CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification. - Yinan Yu; Konstantinos I. Diamantaras; Tomas McKelvey; Sun-Yuan Kung (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Reinforcement Learning Approach for Mobile Beamforming. - Anastasios Dimas; Konstantinos I. Diamantaras; Athina P. Petropulu (ACSSC, 2019)

Classification of Sleep Stages for Healthy Subjects and Patients with Minor Sleep Disorders. - Christos Timplalexis; Konstantinos I. Diamantaras; Ioanna Chouvarda (BIBE, 2019)

Fast Tree-Based Classification via Homogeneous Clustering. - George Pardis; Konstantinos I. Diamantaras; Stefanos Ougiaroglou; Georgios Evangelidis 001 (IDEAL (1), 2019)

Optimal Mobile Relay Beamforming Via Reinforcement Learning. - Konstantinos I. Diamantaras; Athina P. Petropulu (MLSP, 2019)

Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy. - Eleni Partalidou; Eleftherios Spyromitros Xioufis; Stavros Doropoulos; Stavros Vologiannidis; Konstantinos I. Diamantaras (WI, 2019)

Behind the cues: A benchmarking study for fake news detection. - Georgios Gravanis; Athena Vakali; Konstantinos I. Diamantaras; Panagiotis Karadais (Expert Syst. Appl., 2019)

Side-Channel-Based Code-Execution Monitoring Systems: A Survey. - Yi Han; Ioannis Christoudis; Konstantinos I. Diamantaras; Saman A. Zonouz; Athina P. Petropulu (IEEE Signal Process. Mag., 2019)

Contactless Monitoring of Critical Infrastructure [From the Guest Editors]. - Athina P. Petropulu; Konstantinos I. Diamantaras; Zhu Han 001; Dusit Niyato; Saman A. Zonouz (IEEE Signal Process. Mag., 2019)

Dynamic k-NN Classification Based on Region Homogeneity. - Stefanos Ougiaroglou; Georgios Evangelidis 001; Konstantinos I. Diamantaras (ADBIS (Short Papers), 2020)

Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming. - Anastasios Dimas; Konstantinos I. Diamantaras; Athina P. Petropulu (ICASSP, 2020)

A Graph-based Method for Session-based Recommendations. - Marina Delianidi; Michail Salampasis; Konstantinos I. Diamantaras; Theodosios Siomos; Alkiviadis Katsalis; Iphigenia Karaveli (PCI, 2020)

Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review. - Georgios Lampropoulos 001; Euclid Keramopoulos; Konstantinos I. Diamantaras (Vis. Informatics, 2020)

Double Deep Q Learning with Gradient Biasing for Mobile Relay Beamforming Networks. - Spilios Evmorfos; Konstantinos I. Diamantaras; Athina P. Petropulu (ACSCC, 2021)

Predicting Shopping Intent of e-Commerce Users using LSTM Recurrent Neural Networks. - Konstantinos I. Diamantaras; Michail Salampasis; Alkiviadis Katsalis; Konstantinos Christantonis (DATA, 2021)

Student Performance Prediction Using Dynamic Neural Models. - Marina Delianidi; Konstantinos I. Diamantaras; George Chrysogonidis; Vasileios Nikiforidis (EDM, 2021)

Learning to Select for Mimo Radar Based on Hybrid Analog-Digital Beamforming. - Zhaoyi Xu; Fan Liu 005; Konstantinos I. Diamantaras; Christos Masouros; Athina P. Petropulu (ICASSP, 2021)

Comparison of RNN and Embeddings Methods for Next-item and Last-basket Session-based Recommendations. - Michail Salampasis; Theodosios Siomos; Alkiviadis Katsalis; Konstantinos I. Diamantaras; Konstantinos Christantonis; Marina Delianidi; Iphigenia Karaveli (ICMLC, 2021)

Deep Q Learning With Fourier Feature Mapping For Mobile Relay Beamforming Networks. - Spilios Evmorfos; Konstantinos I. Diamantaras; Athina P. Petropulu (SPAWC, 2021)

Exploring Classification in Open and Closed Eyes EEG Data for People with Cognitive Disorders. - Ioanna Chouvarda; Lampros Mpaltadoros; Ioanna Boutziona; George Nikolaos Tsakonas; Magda Tsolaki; Konstantinos I. Diamantaras (BIOSIGNALS, 2022)

Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using EEG and Recurrent Neural Networks. - Georgios Gkenios; Konstantina Latsiou; Konstantinos I. Diamantaras; Ioanna Chouvarda; Magda Tsolaki (EMBC, 2022)

Automated Single-Label Patent Classification using Ensemble Classifiers. - Eleni Kamateri; Vasileios Stamatis; Konstantinos I. Diamantaras; Michail Salampasis (ICMLC, 2022)

NLP-Theatre: Employing Speech Recognition Technologies for Improving Accessibility and Augmenting the Theatrical Experience. - Alkiviadis Katsalis; Konstantinos Christantonis; Charalampos Tsioustas; Pantelis I. Kaplanoglou; Maximos A. Kaliakatsos-Papakostas; Athanasios Katsamanis; Konstantinos I. Diamantaras; Vassilis Katsouros; Evita F. Fotinea; Depy Panga; Dimitra Loupi (IntelliSys (2), 2022)

Towards a DHH Accessible Theater: Real-Time Synchronization of Subtitles and Sign Language Videos with ASR and NLP Solutions. - Grigoris Bastas; Maximos A. Kaliakatsos-Papakostas; Georgios Paraskevopoulos; Pantelis I. Kaplanoglou; Konstantinos Christantonis; Charalampos Tsioustas; Dimitris Mastrogiannopoulos; Depy Panga; Evita F. Fotinea; Athanasios Katsamanis; Vassilis Katsouros; Konstantinos I. Diamantaras; et al. (PETRA, 2022)

Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks. - Georgios Gravanis; Ioannis Dragogias; Konstantinos Papakiriakos; Chrysovalantou Ziogou; Konstantinos I. Diamantaras (Comput. Chem. Eng., 2022)

Semantically Enriched Augmented Reality Applications: A Proposed System Architecture and a Case Study. - Georgios Lampropoulos 001; Euclid Keramopoulos; Konstantinos I. Diamantaras (Int. J. Recent Contributions Eng. Sci. IT, 2022)

Reinforcement Learning for Motion Policies in Mobile Relaying Networks. - Spilios Evmorfos; Konstantinos I. Diamantaras; Athina P. Petropulu (IEEE Trans. Signal Process., 2022)

Predicting the Onset of Dementia in Initially Healthy Individuals Using Demographic and Clinical Data. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Konstantinos Goulianas; Ioanna Chouvarda (BIBE, 2023)

Diagnosis of Alzheimer's disease and Mild Cognitive Impairment using Rethinking and Deep Neural Networks. - Evangelos Kostopoulos; Konstantinos I. Diamantaras; Ioanna Chouvarda; Magda Tsolaki (DSP, 2023)

Optimizing Melanoma Prognosis Through Synergistic Preprocessing and Deep Learning Architecture for Dermoscopic Thickness Prediction. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Konstantinos Goulianas; Ioanna Chouvarda; Vasileios Argyriou; Panagiotis G. Sarigiannidis (MIUA (2), 2024)

Automatic Dataset Type Recognition for Association Rule Mining. - Konstantinos Malliaridis; Stefanos Ougiaroglou; Dimitris A. Dervos; Charalampos Bratsas; Antonis Sidiropoulos 001; Konstantinos I. Diamantaras (SETN, 2024)

Enhanced Deep Learning Methodologies and MRI Selection Techniques for Dementia Diagnosis in the Elderly Population. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Ioanna Chouvarda; Vasileios Argyriou; Panagiotis Sarigianndis (CoRR, 2024)

Learning local discrete features in explainable-by-design convolutional neural networks. - Pantelis I. Kaplanoglou; Konstantinos I. Diamantaras (CoRR, 2024)

Machine learning methods for results merging in patent retrieval. - Vasileios Stamatis; Michail Salampasis; Konstantinos I. Diamantaras (Data Technol. Appl., 2024)

Fusion Grad-CAM: A Methodology for Generating Unified Attention Maps in Majority Voting Classifiers. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Vasileios Argyriou; Panagiotis Sarigianndis (IPAS, 2025)

DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State. - Marina Delianidi; Konstantinos I. Diamantaras; Ioannis Moras; Antonis Sidiropoulos 001 (CoRR, 2025)

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech. - Nikolaos Ntampakis; Konstantinos I. Diamantaras; Ioanna Chouvarda; Magda Tsolaki; Vasileios Argyriou; Panagiotis Sarigianndis (CoRR, 2025)