Nikolaos Dionelis

33 papers B 5C 3Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HeatMat: Simulation of City Material Impact on Urban Heat Island Effect. CoRR Marie Reinbigler, Romain Rouffet, Peter Naylor, Mikolaj Czerkawski, Nikolaos Dionelis, Elisabeth Brunet, Catalin I. Fetita, Rosalie Martin
2025	J	`jnl`	Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge. CoRR Nikolaos Dionelis, Nicolas Longépé, Alessandra Feliciotti, Mattia Marconcini, Devis Peressutti, Nika Oman Kadunc, Jaewan Park, Hagai Raja Sinulingga, Steve Andreas Immanuel, Ba Tran, Caroline Arnold
2025	B	`conf`	CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models. IJCNN Nikolaos Dionelis, Jente Bosmans, Nicolas Longépé
2025	J	`jnl`	CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models. CoRR Nikolaos Dionelis, Jente Bosmans, Nicolas Longépé
2025	J	`jnl`	Fine-Tuning Foundation Models With Confidence Assessment for Enhanced Semantic Segmentation. IEEE Geosci. Remote. Sens. Lett. Nikolaos Dionelis, Nicolas Longépé
2025	J	`jnl`	Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset. CoRR Nikolaos Dionelis, Jente Bosmans, Riccardo Musto, Giancarlo Paoletti, Simone Sarti, Giacomo Cascarano, Casper Fibaek, Luke Camilleri, Bertrand Le Saux, Nicolas Longépé
2025	J	`jnl`	TerraMind: Large-Scale Generative Multimodality for Earth Observation. CoRR Johannes Jakubik, Felix Yang, Benedikt Blumenstiel, Erik Scheurer, Rocco Sedona, Stefano Maurogiovanni, Jente Bosmans, Nikolaos Dionelis, Valerio Marsocci, Niklas Kopp, Rahul Ramachandran, Paolo Fraccaro, Thomas Brunschwiler, Gabriele Cavallaro, Juan Bernabé-Moreno, Nicolas Longépé
2024	C	`conf`	A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching. IGARSS Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
2024	J	`jnl`	A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching. CoRR Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini
2024	J	`jnl`	CAS: Confidence Assessments of classification algorithms for Semantic segmentation of EO data. CoRR Nikolaos Dionelis, Nicolas Longépé
2024	J	`jnl`	Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI. CoRR Nikolaos Dionelis, Casper Fibaek, Luke Camilleri, Andreas Luyts, Jente Bosmans, Bertrand Le Saux
2024	J	`jnl`	Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. CoRR Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux
2024	C	`conf`	Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images. IGARSS Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux
2024	C	`conf`	PhilEO Bench: Evaluating Geo-Spatial Foundation Models. IGARSS Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux
2024	J	`jnl`	PhilEO Bench: Evaluating Geo-Spatial Foundation Models. CoRR Casper Fibaek, Luke Camilleri, Andreas Luyts, Nikolaos Dionelis, Bertrand Le Saux
2023	B	`conf`	SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection. IJCNN Nikolaos Dionelis, Richard Jackson, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022	B	`conf`	CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition. ICPR Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2022	—	`conf`	FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection. ECML/PKDD (3) Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi
2021	J	`jnl`	Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary. CoRR Nikolaos Dionelis
2021	J	`jnl`	FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection. CoRR Nikolaos Dionelis
2021	B	`conf`	Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. ICTAI Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2021	J	`jnl`	OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary. CoRR Nikolaos Dionelis
2021	J	`jnl`	Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation. CoRR Nikolaos Dionelis
2020	B	`conf`	Boundary Of Distribution Support Generator (BDSG): Sample Generation On The Boundary. ICIP Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris
2019	J	`jnl`	Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. Nikolaos Dionelis, Mike Brookes
2018	J	`jnl`	Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation. CoRR Nikolaos Dionelis, Mike Brookes
2018	J	`jnl`	On Single-Channel Speech Enhancement and On Non-Linear Modulation-Domain Kalman Filtering. CoRR Nikolaos Dionelis
2018	J	`jnl`	Phase-Aware Single-Channel Speech Enhancement With Modulation-Domain Kalman Filtering. IEEE ACM Trans. Audio Speech Lang. Process. Nikolaos Dionelis, Mike Brookes
2018	—	`conf`	Speech Enhancement Using Kalman Filtering in the Logarithmic Bark Power Spectral Domain. EUSIPCO Nikolaos Dionelis, Mike Brookes
2017	—	`conf`	Modulation-domain speech enhancement using a Kalman filter with a Bayesian update of speech and noise in the log-spectral domain. HSCMA Nikolaos Dionelis, Mike Brookes
2017	J	`jnl`	Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering. CoRR Nikolaos Dionelis, Mike Brookes
2017	—	`conf`	Speech enhancement using modulation-domain Kalman filtering with active speech level normalized log-spectrum global priors. EUSIPCO Nikolaos Dionelis, Mike Brookes
2016	—	`conf`	Active speech level estimation in noisy signals with quadrature noise suppression. EUSIPCO Nikolaos Dionelis, Mike Brookes