Publications | Enfield: European Lighthouse to Manifest Trustworthy and Green AI

Publications related to the project

Journal papers

Partner(s) abbreviation	Journal name	Paper title	Author(s)	Link to paper (if available)
TALTECH	Journal of Vibration and Control	Stability analysis and energy harvesting in lumped parameter systems with internally coupled resonators	Hossein Alimohammadi, Kristina Vassiljeva, S Hassan HosseinNia, Eduard Petlenkov	https://journals.sagepub.com/doi/full/10.1177/10775463241241161
NTNU	International Journal of Critical Infrastructure Protection	An exploratory analysis of the last frontier: A systematic literature review of cybersecurity in space	Georgios Kavallieratos, Sokratis Katsikas	https://www.sciencedirect.com/science/article/pii/S1874548223000537
TUE	Transactions on Machine Learning Research	Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning	Shruthi Gowda, Bahram Zonooz, Elahe Arani
TUE	Knowledge-based Systems	A revised cognitive mapping methodology for modeling and simulation	G Nápoles, I Grau, Y Salgueiro	https://www.sciencedirect.com/science/article/abs/pii/S0950705124007238
SINTEF	Applied Intelligence	ERG-AI: Enhancing Occupational Ergonomics with Uncertainty-aware ML and LLM Feedback	Sen, Gonzalez, Husom, Tverdal, Tokas, Tjøsvoll	https://link.springer.com/article/10.1007/s10489-024-05796-1
NRS	Data Mining and Knowledge Discovery	MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data	Redelmeier, A., Jullum, M., Aas, K., Løland, A.	https://doi.org/10.1007/s10618-024-01017-y
KNOW	Computer Physics Communications	Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks	Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger	https://doi.org/10.1016/j.cpc.2024.109422
UCM	New Methods of Economic Research with Big Data (Book)	Economic Prediction with State-Space Models for Big Data (Book chap. In Spanish)	Miguel Jerez & Alfredo Garcia-Hiernaux	Pending
UPB	Applied Science	Vehicle ego-trajectory segmentation using guidance cues.	Mihalea, A., Florea, A.M	https://www.mdpi.com/2076-3417/14/17/7776
UPB	Journal of Manufacturing Systems	LogicLSTM: Logically-driven long short-term memory model for fault diagnosis in gearboxes	Eduard Hogea, Darian M. Onchiş, Ruqiang Yan, Zheng Zhou	https://www.sciencedirect.com/science/article/abs/pii/S0278612524002280
TALTECH	Energy and AI	Intelligent frequency control of AC microgrids with communication delay: An online tuning method subject to stabilizing parameters	Komeil Nosrati, Vjatseslav Skiparev, Aleksei Tepljakov, Eduard Petlenkov, Juri Belikov	https://www.sciencedirect.com/science/article/pii/S2666546824000879
TALTECH	Nonlinear Dynamics	Nonlinear dynamics in PEH for enhanced power output and vibration suppression in metastructures	Hossein Alimohammadi, Kristina Vassiljeva, S. Hassan HosseinNia, Eduard Petlenkov	https://link.springer.com/article/10.1007/s11071-024-09739-w
MAG	MDPI	Knowledge Extraction from LLMs for Scalable Historical Data Annotation	Fabio Celli, Dimitry Mingazov	https://www.mdpi.com/2079-9292/13/24/4990
MAG	CINI Conference	Process Mining of Public Administration Operations	Fabio Celli, Dimitry Mingazov	https://ceur-ws.org/Vol-3762/473.pdf
MAG	CINI Conference	from Big Data	Fabio Celli, Dimitry Mingazov	https://ceur-ws.org/Vol-3762/473.pdf
MAG	CLiC-IT Conference	History Repeats: Historical Phase Recognition from Short Texts	Fabio Celli, Valerio Basile	https://ceur-ws.org/Vol-3878/23_main_long.pdf
MAG	IRCDL 2025	How to Compress Categorical Variables to Visualize Historical Dynamics	Fabio Celli	https://ceur-ws.org/Vol-3937/paper1.pdf
POLIMI	Systems	Online Review-Assisted Product Improvement Attribute Extraction and Prioritization Method for Small- and Medium-Sized Enterprises	Wang, K.; Lei, A.; Huang, Z.; Gao, Z.; Ma, Q.; Zheng, C.; Li, J.; Eynard, B.; Xiao, J.	https://doi.org/10.3390/systems13030149
INESC TEC	Applied Energy	Carbon-aware dynamic tariff design for electric vehicle charging stations with explainable stochastic optimization	Carlos Silva, Ricardo Bessa	https://doi.org/10.1016/j.apenergy.2025.125674
University of Bask Country, BME	Big Data and Cognitive Computing	Trustworthy AI for Whom? GenAI Detection Techniques of Trust Through Decentralized Web3 Ecosystems	Igor Calzada, Mohammed Al-Radhi, Géza Németh	https://www.mdpi.com/2504-2289/9/3/62
BME	Large-Scale Data Analytics, European Research Consortium for Informatics and Mathematics (ERCIM)	Breaking the Silence: Brain-to-Speech Innovations	Mohammed Salah Al-Radhi, Géza Németh	https://ercim-news.ercim.eu/images/stories/EN140/EN140-web.pdf#page=36
POLIMI	Computer and Industrial Engineering	Dynamic task allocations with Q-learning based particle swarm optimization for human-robot collaboration disassembly of electric vehicle battery recycling	Jinhua Xiao, Zhiwen Zhang, Sergio Terzi, Nabil Anwer, Benoît Eynard	https://doi.org/10.1016/j.cie.2025.111133
UPB	Neural Computing and Applications	Evaluation and Analysis of Visual Methods for CNN Explainability: A Novel Approach and Experimental Study	Andrei Dugaesescu, Adina Magda Florea
TALTECH	Journal of Building Engneering	Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods	H. Kuivjogi, S. Vasman, E. Petlenkov, M. Thalfeldt, J. Kurntski	https://doi.org/10.1016/j.jobe.2024.111016

Conferences/Workshops

Partner(s) abbreviation	Conference/Workshop name	Location	Presentation title	Author(s)
SINTEF	IoT'23	Nagoya University, Japan	Automated Behavior Labeling for IIoT Data	Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Sagar Sen, Phu H. Nguyen
SINTEF	IoT'23	Nagoya University, Japan	REPTILE: a Tool for Replay-driven Continual Learning in IIoT	Erik Johannes Husom, Sagar Sen, Arda Goknil, Simeon Tverdal, Phu H. Nguyen
BME	SpeD 2023	Bucharest, Romania	Nonparallel Expressive TTS for Unseen Target Speaker using Style-Controlled Adaptive Layer and Optimized Pitch Embedding	Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
BME	Socially responsible linguistics – Applied Linguistics Conference	Budapest,Hungary	Non-Parallel Voice Conversion with Emphasis on Expressive Voice: A Style-Based Approach	Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
SINTEF	CAIN 2024	Lisbon, Portugal	Engineering Carbon Emission-aware Machine Learning Pipelines	Erik Johannes Husom, Sagar Sen, Arda Goknil
SINTEF	SEAMS 2024	Lisbon, Portugal	Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning	Rustem Dautov, Erik Johannes Husom
BME	WI2NS2 2024	Budapest,Hungary	Improving speech naturalness and nuance using HiFiGAN-Hubert-Soft vocoder: A case study of the Voicebox TTS model	Kulboboev Shukhrat and Mohammed Salah Al-Radhi
INESC TEC	IEEE MELECON 2024		Data Augmented Rule-Based Expert System to Control a Hybrid Storage System	R.J. Bessa, Francisco S. Lobo, Francisco S. Fernandes, Bernardo Silva
TALTECH	CPE-POWERENG24		The feasibility study of DC house connected to conventional AC distribution networks	Hokmabad, H. N.; Shabbir, N.; Astapov, V.; Petlenkov, E.; Husev, O.; Belikov, J.
NTNU	RSCy 2024		Trustworthy AI	Georgios Spathoulas, Georgios Kavallieratos
TUE	ICLR 2024	Vienna, Austria	Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training	Shruthi Gowda, Elahe Arani, Bahram Zonooz
TUE	XAI 2024	Malta	Sparseness-Optimized Feature Importance	Isel Grau, Gonzalo Napoles
KNOW	ICLR 2024 Workshop on AI4DifferentialEquations In Science	Vienna, Austria	Approximating Family of Steep Traveling Wave Solutions to Fisher's Equation with PINNs	Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C Geiger
IMT	16th International Conference on Human System Interaction HSI 2024	Paris, France	Comparison of Individualized and Group-based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players	Iwen DIOURON, Sébastien HARISPE, Abdelhak IMOUSSATEN, Maëlia DUHART, Antoine JOFFROY, Lucas TEXIER, Guilhem ESCUDIER, Gérard DRAY, Stéphane PERREY
ECoE	IEEE 2024 World Congress on Computational Intelligence	Yokohama, Japan	Exchange strategies for multi-colony ant algorithms in dynamic environments	M. Mavrovouniotis, C. Li, D. Yazdani, D. Hadjimitsis
ECoE	RSCy 2024		Tree-based explainable clustering for drought severity predictions in United States	Stelios P. Neophytides, Michalis Mavrovouniotis, Marinos Eliades, Felix Bachofer, Diofantos G. Hadjimitsis
ECoE	RSCy 2024		Estimation of Crop Yield using Deep Learning for Precision Agriculture	Stelios P. Neophytides, Giorgia Guerissi, Michalis Mavrovouniotis, Marios Tzouvaras, Fabio Del Frate, Diofantos G. Hadjimitsis
POLIMI	GIECS2024	Bruxelles, Belgium	Approaching interoperability and data-related processing issues in a human-centric industrial scenario	Danish Abbas Syed, Walter Quadrini, Nima Rahmani Choubeh, Marta Pinzone and Sergio Gusmeroli
POLIMI	ISM2024	Prague. Czechia	Safety-driven Electronic Components disassembly through Human-Robot Collaboration framework	Nima Rahmani Choubeh, Mostafa Zarei, Walter Quadrini, Sergio Gusmeroli, Luca Fumagalli
NTNU	The 26th International Conference on Information and Communications Security (ICICS 2024)		Privacy preserving and verifiable outsourcing of AI processing for cyber-physical systems	Georgios Spathoulas, Angeliki Katsika, and Georgios Kavallieratos
PREDICT	ISM2024	Prague. Czechia	Automating the labeling of industrial data: a challenge and an	Philippe Lepetit, Leïla Belmerhnia, Flavien Peysson
			opportunity to boost the development of Condition-Based
			Monitoring in Industry 4.0
UPB	EUMAS 2024	Dublin, Ireland	Putting Context Into Hypermedia Multi-Agent Systems	Alexandru Sorici, Adina Florea
TUE	CoLLAs 2024	Italy	Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?	Shruthi Gowda, Elahe Arani, Bahram Zonooz
IMT	Workshop on Resource Efficient Deep Learning for Computer Vision, ICCV	Paris, France	https://iccv2023.thecvf.com/	Z. Li, E. Tartaglione and V. T. Nguyen
IMT	Workshop on Resource Efficient Deep Learning for Computer Vision, ICCV	Paris, France	Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?	Z. Liao, V. Quétu, V. T. Nguyen and E. Tartaglione
IMT	Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision		Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint	Quélennec, A., Tartaglione, E., Mozharovskyi, P., & Nguyen, V. T.
IMT	International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems	Lisbon, Portugal	Interval Criterion-Based Evidential Set-Valued Classification	Imoussaten A., Montmain, J..
IMT	The 35th British Machine Vision Conference	Glasgow, UK	Guided Attention for Interpretable Motion Captioning	Radouane, K., Lagarde, J., Ranwez, S., Tchechmedjiev, A.
TUC	The 24th International Conference on Web Engineering (ICWE 2024)	Tampere, Finland	Trusting Decentralized Web Data in a Solid-based Social Network	Valentin Siegert, Dirk Leichsenring, Martin Gaedke
TUE	CHI 2024	Hawaiʻi, USA	Contextualizing the “Why”: The Potential of Using Visual Map As a Novel XAI Method for Users with Low AI-literacy	Anniek Jansen, François Leborgne, Qiurui Wang, Chao Zhang
TUE	2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024	Madrid, Spain	Long Short-term Cognitive Networks: An Empirical Performance Study	Gonzalo Nápoles, Isel Grau
UPB	26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing	Timisoara, Romania	Novel Data Adaptation Techniques for Enhanced Lung Cancer Detection in CT Scans	Catalin Chiru, Mihai Nan, Mihai Trascau, Adina Magda Florea
UPB	2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing	Cluj-Napoca, Romania	Explainable Cancer Segmentation through Classification	Andrei Dugaesescu, Catalin Chiru, Mihai Nan, Mihai Trascau, Adina Magda Florea
BME	26th International Conference on Speech and Computer (SPECOM)		CTT: A Benchmark Dataset and Baseline for Expressive Child Speech Synthesis	Shaimaa Alwaisi, Mohammed Salah Al-Radhi, and Géza Németh
TUE	NVVC Congress Autumn 2024	Papendal, the Netherlands	Machine Learning to Predict Microvascular Obstruction and Left Ventricular Dysfunction in ST-Elevation Myocardial Infarction	Gregor Baer, Isel Grau, Chao Zhang, Pieter Van Gorp, Inge F. Wijnbergen, J.M. van Dantzig, B.R.G. (Guus) Brueren, Harrie C.M. van den Bosch, Pieter Jan Vlaar, W.A.L. (Pim) Tonino, Koen Teeuwen, Annemiek de Vos, Marcel van 't Veer, Colin Berry, Wikke Setz-Pels, Nico H.J. Pijls, Mohamed El Farissi, Luuk C. Otterspoor
BME	Acoustics and Speech Processing	Bratislava, Slovakia	Enhancing Expressive TTS Synthesis for Multilingual Low-Resource Languages: Challenges and Applications	Rami Kammoun, Mohamed Salah Al-Radhi, Géza Németh
NTNU	9th International Conference on Computer Vision & Image Processing	Chennai, India	Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model	Sushrut Patwardhan, Raghavendra Ramachandra, Sushma Venkatesh
NRS	21st Norwegian Statistical Meeting	Tønsberg, Norway	Recent computational advances in Shapley values based prediction explanation	Jullum, Martin; Aas, Kjersti; Aase, Frida Svendal; Løland, Anders
SINTEF	IoT'24	Oulu, Finland,	Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things	A. Goknil, P. Nguyen, E. Husom, S. Sen, S. Tverdal, F. Peysson, D. Politai, R. González
TUC	Th2 25th International Conference on Web Information Systems Engineering (WISE 2024)	Doha, Qatar	WNSWE: Web-based Network Simulator for Web	Sebastian Heil, Lucas Schröder, Martin Gaedke
TUC		Doha, Qatar	Engineering Education	Sebastian Heil, Lucas Schröder, Martin Gaedke
TUC	Conversation 2024 8th international workshop on chatbots and Human-centred AI	Thessaloniki, Greece	An Analysis of Federal and Municipal Chatbots in Germany	Verena Traubinger, Sebastian Heil, Julian Grigera, Alejandra Garrido,Sonia Abhyankar,Martin Gaedke
UPB	26th International Symposium on Symbolic and Numeric Algorithms for Scientific (IEEE)	Timisoara, Romania	On applying GraphLime for trustworthy diabet prediction	Flavia Costi, Darian Onchis, Codruta Istin, Adina Magda Florea and Eduard Hogea
UCM	International Conference on Artificial Intelligence & Machine Learning	Osaka, Japan	Green AI: Environmental Cost of a Time Series Prediction Contest (Accepted)	Alba Alcaráz, Javier M Capilla, Alfredo Garcia-Hiernaux, Teodosio Pérez-Amaral and Ángel Valarezo
UCM	33rd European regional conference of the International Telecommunications Society	Edinburg, UK	Green AI: Environmental Cost of a Time Series Prediction Contest (Accepted)	Alba Alcaráz, Javier M Capilla, Alfredo Garcia-Hiernaux, Teodosio Pérez-Amaral and Ángel Valarezo
UCM	33rd European regional conference of the International Telecommunications Society	Edinburg, UK	Modelling and Predicting Internet Trust: A Longitudinal Analysis with Eco-RETINA (Accepted)	Ángel Valarezo-Unda, Teodosio Perez Amaral, Alfredo García-Hiernaux, Javier Capilla, Alba Alcaraz and Teresa Garín-Muñoz
BME	3rd Workshop on Intelligent Infocommunication Networks, Systems and Services	Budapest,Hungary	Optimizing Cardiac MRI Segmentation: An Ensemble Approach with U-Net Variants	Botond Bárdos-Deák, Adrián Tibor Bodai, Mohammed Salah Al-Radhi
BME	3rd Workshop on Intelligent Infocommunication Networks, Systems and Services	Budapest,Hungary	Architectural Enhancements and Feature Optimization of AutoVocoder for High-Quality Speech Synthesis	Riad Larbi, Mohammed Salah Al-Radhi
BME	3rd Workshop on Intelligent Infocommunication Networks, Systems and Services	Budapest,Hungary	A Hybrid Algorithm for Robust Pitch Estimation in Emotional Speech Synthesis	Zineb Hammadi, Mohammed Salah Al-Radhi
NTNU	Winter Conference on Applications of Computer Vision (WACV) Workshops	Tucson. Arizona	Interpreting Face Recognition Templates using Natural Language Descriptions	Anastasija Manojlovska, Raghavendra Ramachandra, Georgios Spathoulas, Vitomir Štruc, Klemen Grm;