97 citations
- Stockholm UniversitySE6 papers
- KTH Royal Institute of TechnologySE5 papers
- Swedish InstituteSE3 papers
- Ministry of Foreign AffairsRO2 papers
- Aarhus UniversityDK1 paper
- Aston UniversityGB1 paper
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR1 paper
- Athens University of Economics and BusinessGR1 paper
- Blekinge Institute of TechnologySE1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- École Nationale de l’Aviation CivileFR1 paper
20 papers
On the Relation between Code Quality and Machine Learning Performance: A Large-scale Empirical Study
Marius Mignard, Steven Costiou, Anne Etien
Context: Computational notebooks are the standard environment for machine learning (ML) development. Within the ML community, model performance is often the primary considered metr…
Learning-Augmented Online Allocation under Unreliable Advice: Robustness, Exposure Fairness, and Distribution Shift
Fredy Pokou
Learning-augmented algorithms improve online decisions using predictions, but unreliable advice may harm efficiency and fairness. We study an online allocation problem with finite…
Nonlinear and Heavy-Tailed Predictability in Transition-Energy Financial Markets
Kpante Emmanuel Gnandi, Fredy Pokou, Jules Sadefo Kamdem
Transition-related financial markets are increasingly exposed to abrupt repricing episodes, elevated volatility, and heterogeneous macro-financial shocks. Under such conditions, co…
Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
Fredy Pokou, Jules Sadefo Kamdem, Kpante Emmanuel Gnandi
This paper investigates whether structural econometric models can rival machine learning in forecasting energy--macro dynamics while retaining causal interpretability. Using monthl…
The Turn to Practice in Design Ethics: Characteristics and Future Research Directions for HCI Research
Gizem Öz, Christian Dindler, Sharon Lindberg
As emerging technologies continue to shape society, there is a growing emphasis on the need to engage with design ethics as it unfolds in practice to better capture the complexitie…
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon
IoT networks often face conflicting routing goals such as maximizing packet delivery, minimizing delay, and conserving limited battery energy. These priorities can also change dyna…