599 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National and Kapodistrian University of AthensGR24 papers
- National Technical University of AthensGR11 papers
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR9 papers
- Athens State UniversityUS7 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Centrum Wiskunde & InformaticaNL7 papers
- Delft University of TechnologyNL7 papers
- École PolytechniqueFR7 papers
- University College LondonGB7 papers
- University of OxfordGB7 papers
- Laboratoire d'Informatique de l'École PolytechniqueFR6 papers
- University of AmsterdamNL6 papers
15 papers · 1 filter
Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia
Phoebe Koundouri, Georgios I. Papayiannis, Achilleas Vassilopoulos +1
This study presents a novel approach to assessing food security risks at the national level, employing a probabilistic scenario-based framework that integrates both Shared Socioeco…
Consensus group decision making under model uncertainty with a view towards environmental policy making
Phoebe Koundouri, Georgios I. Papayiannis, Electra V. Petracou +1
In this paper we propose a consensus group decision making scheme under model uncertainty consisting of an iterative two-stage procedure and based on the concept of Fréchet barycen…
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking
Lefteris Loukas, Ilias Stogiannidis, Odysseas Diamantopoulos +2
Standard Full-Data classifiers in NLP demand thousands of labeled examples, which is impractical in data-limited domains. Few-shot methods offer an alternative, utilizing contrasti…
A Framework for Treating Model Uncertainty in the Asset Liability Management Problem
Georgios I. Papayiannis
The problem of asset liability management (ALM) is a classic problem of the financial mathematics and of great interest for the banking institutions and insurance companies. Severa…
Good Tools are Half the Work: Tool Usage in Deep Learning Projects
Evangelia Panourgia, Theodoros Plessas, Ilias Balampanis +1
The rising popularity of deep learning (DL) methods and techniques has invigorated interest in the topic of SE4DL (Software Engineering for Deep Learning), the application of softw…
Bayesian inference and cure rate modeling for event history data
Panagiotis Papastamoulis, Fotios Milienos
Estimating model parameters of a general family of cure models is always a challenging task mainly due to flatness and multimodality of the likelihood function. In this work, we pr…
Leveraging Large Language Models for Sequential Recommendation
Jesse Harte, Wouter Zorgdrager, Panos Louridas +3
Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches.…
Commands as AI Conversations
Diomidis Spinellis
Developers and data scientists often struggle to write command-line inputs, even though graphical interfaces or tools like ChatGPT can assist. The solution? "ai-cli," an open-sourc…
Bayesian Evidence Synthesis for Modeling SARS-CoV-2 Transmission
Anastasios Apsemidis, Nikolaos Demiris
The acute phase of the Covid-19 pandemic has made apparent the need for decision support based upon accurate epidemic modeling. This process is substantially hampered by under-repo…
Partial Allocations in Budget-Feasible Mechanism Design: Bridging Multiple Levels of Service and Divisible Agents
Georgios Amanatidis, Sophie Klumper, Evangelos Markakis +2
Budget-feasible procurement has been a major paradigm in mechanism design since its introduction by Singer (2010). An auctioneer (buyer) with a strict budget constraint is interest…
Deep and Fast Approximate Order Independent Transparency
Grigoris Tsopouridis, Andreas-Alexandros Vasilakis, Ioannis Fudos
We present a machine learning approach for efficiently computing order independent transparency (OIT). Our method is fast, requires a small constant amount of memory (depends only…
Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization
Dimitrios Tsirmpas, Ioannis Gkionis, Georgios Th. Papadopoulos +1
The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite…
Subdata selection for big data regression: an improved approach
Vasilis Chasiotis, Dimitris Karlis
In the big data era researchers face a series of problems. Even standard approaches/methodologies, like linear regression, can be difficult or problematic with huge volumes of data…
Sample size determination via learning-type curves
Alimu Dayimu, Nikola Simidjievski, Nikolaos Demiris +1
This paper is concerned with sample size determination methodology for prediction models. We propose combining the individual calculations via a learning-type curve. We suggest two…
Open Reproducible Publication Research
Diomidis Spinellis
Considerable scientific work involves locating, analyzing, systematizing, and synthesizing other publications. Its results end up in a paper's "background" section or in standalone…