Semantic information integration with transformations for stream reasoning. - Fredrik Heintz; Daniel de Leng (FUSION, 2013)

Spatio-Temporal Stream Reasoning with Incomplete Spatial Information. - Fredrik Heintz; Daniel de Leng (ECAI, 2014)

Towards on-demand semantic event processing for stream reasoning. - Daniel de Leng; Fredrik Heintz (FUSION, 2014)

Ontology-Based Introspection in Support of Stream Reasoning. - Daniel de Leng; Fredrik Heintz (JOWO@IJCAI, 2015)

Querying flying robots and other things: ontology-supported stream reasoning. - Daniel de Leng (XRDS, 2015)

Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. - Daniel de Leng; Fredrik Heintz (AAAI, 2016)

DyKnow: A dynamically reconfigurable stream reasoning framework as an extension to the robot operating system. - Daniel de Leng; Fredrik Heintz (SIMPAR, 2016)

Towards adaptive semantic subscriptions for stream reasoning in the robot operating system. - Daniel de Leng; Fredrik Heintz (IROS, 2017)

Partial-State Progression for Stream Reasoning with Metric Temporal Logic. - Daniel de Leng; Fredrik Heintz (KR, 2018)

A Second Screen Journey to the Cup: Twitter Dynamics During the Stanley Cup Playoffs. - Daniel de Leng; Mattias Tiger; Mathias Almquist; Viktor Almquist; Niklas Carlsson (TMA, 2018)

Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. - Daniel de Leng; Fredrik Heintz (AAAI, 2019)

Robust Stream Reasoning Under Uncertainty. - Daniel de Leng (2019)

On-Demand Multi-Agent Basket Picking for Shopping Stores. - Mattias Tiger; David Bergström 002; Simon Wijk Stranius; Evelina Holmgren; Daniel de Leng; Fredrik Heintz (ICRA, 2023)

Urdarbrunnen: Towards an AI-enabled mission system for Combat Search and Rescue operations. - Ella Olsson; Mikael Nilsson; Kristoffer Bergman; Daniel de Leng; Stefan Carlén; Emil Karlsson; Bo Granbom (SAIS, 2023)

FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. - Md. Fahim Sikder; Resmi Ramachandranpillai; Daniel de Leng; Fredrik Heintz (AEQUITAS@ECAI, 2024)

Last Night in Sweden: A Vision for Resource-Intelligent Stream Reasoning. - Daniel de Leng; Pieter Bonte (DEBS, 2024)

Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. - Md. Fahim Sikder; Resmi Ramachandranpillai; Daniel de Leng; Fredrik Heintz (CoRR, 2024)

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. - Md. Fahim Sikder; Daniel de Leng; Fredrik Heintz (CoRR, 2024)

Grounding Stream Reasoning Research. - Pieter Bonte; Jean-Paul Calbimonte; Daniel de Leng; Daniele Dell'Aglio; Emanuele Della Valle; Thomas Eiter; Federico Giannini; Fredrik Heintz; Konstantin Schekotihin; Danh Le Phuoc; Alessandra Mileo; Patrik Schneider; et al. (TGDK, 2024)