The relevance of trends for predictions of stock returns. - Thomas Hellström; Kenneth Holmström (Intell. Syst. Account. Finance Manag., 2000)

Optimizing the Sharpe Ratio for a Rank Based Trading System. - Thomas Hellström (EPIA, 2001)

Development of an Autonomous Forest Machine for Path Tracking. - Thomas Hellström; Thomas Johansson 002; Ola Ringdahl (FSR, 2005)

Model-free Learning from Demonstration. - Erik Alexander Billing; Thomas Hellström; Lars-Erik Janlert (ICAART (2), 2010)

Predictive Learning from Demonstration. - Erik Alexander Billing; Thomas Hellström; Lars-Erik Janlert (ICAART (Revised Selected Papers), 2010)

Behavior recognition for Learning from Demonstration. - Erik Alexander Billing; Thomas Hellström; Lars-Erik Janlert (ICRA, 2010)

A formalism for learning from demonstration. - Erik Alexander Billing; Thomas Hellström (Paladyn J. Behav. Robotics, 2010)

Learning High-level Behaviors from Demonstration through Semantic Networks. - Benjamin Fonooni; Thomas Hellström; Lars-Erik Janlert (ICAART (1), 2012)

Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots. - Mostafa Pordel; Thomas Hellström; Ahmad Ostovar (ICINCO (2), 2012)

Towards goal based architecture design for learning high-level representation of behaviors from demonstration. - Benjamin Fonooni; Thomas Hellström; Lars-Erik Janlert (CogSIMA, 2013)

Development of a search and rescue field robotic assistant. - Alex Kozlov; Jeremi Gancet; Pierre Letier; Guido Schillaci; Verena V. Hafner; Benjamin Fonooni; Yashodhan Nevatia; Thomas Hellström (SSRR, 2013)

A software framework for agricultural and forestry robots. - Thomas Hellström; Ola Ringdahl (Ind. Robot, 2013)

Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner. - Ola Ringdahl; Peter Hohnloser; Thomas Hellström; Johan Holmgren; Ola Lindroos (Remote. Sens., 2013)

Towards proactive robot behavior based on incremental language analysis. - Suna Bensch; Thomas Hellström (MMRWHRI@ICMI, 2014)

Applying a priming mechanism for intention recognition in shared control. - Benjamin Fonooni; Thomas Hellström (CogSIMA, 2015)

Grammatical inference of graph transformation rules. - Suna Bensch; Frank Drewes; Thomas Hellström (NCMA, 2015)

On the similarities between control based and behavior based visual servoing. - Benjamin Fonooni; Thomas Hellström (SAC, 2015)

Semi-Automatic Image Labelling Using Depth Information. - Mostafa Pordel; Thomas Hellström (Comput., 2015)

Applying Ant Colony Optimization algorithms for high-level behavior learning and reproduction from demonstrations. - Benjamin Fonooni; Aleksandar Jevtic; Thomas Hellström; Lars-Erik Janlert (Robotics Auton. Syst., 2015)

Human Detection Based on Infrared Images in Forestry Environments. - Ahmad Ostovar; Thomas Hellström; Ola Ringdahl (ICIAR, 2016)

Priming as a Means to Reduce Ambiguity in Learning from Demonstration. - Benjamin Fonooni; Thomas Hellström; Lars-Erik Janlert (Int. J. Soc. Robotics, 2016)

Robots in Contexts: Human-Robot Interaction as Physically and Socially Embedded. - Victor Kaptelinin; Andrey Kiselev; Amy Loutfi; Thomas Hellström (ECCE, 2017)

On Interaction Quality in Human-Robot Interaction. - Suna Bensch; Aleksandar Jevtic; Thomas Hellström (ICAART (1), 2017)

Understandable robots. - Thomas Hellström; Suna Bensch (Paladyn J. Behav. Robotics, 2018)

Adaptive Image Thresholding of Yellow Peppers for a Harvesting Robot. - Ahmad Ostovar; Ola Ringdahl; Thomas Hellström (Robotics, 2018)

Fusion of Gesture and Speech for Increased Accuracy in Human Robot Interaction. - Neha Baranwal; Avinash Kumar Singh; Thomas Hellström (MMAR, 2019)

Unsupervised Inference of Object Affordance from Text Corpora. - Michele Persiani; Thomas Hellström (NODALIDA, 2019)

Bias in machine learning - what is it good for? - Thomas Hellström; Virginia Dignum; Suna Bensch (NeHuAI@ECAI, 2020)

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). - Alexander Sutherland; Suna Bensch; Thomas Hellström; Sven Magg; Stefan Wermter (ICANN (1), 2020)

Intent Recognition from Speech and Plan Recognition. - Michele Persiani; Thomas Hellström (PAAMS, 2020)

Understandable Teams of Pepper Robots. - Avinash Kumar Singh; Neha Baranwal; Kai-Florian Richter; Thomas Hellström; Suna Bensch (PAAMS, 2020)

Understandable Collaborating Robot Teams. - Avinash Kumar Singh; Neha Baranwal; Kai-Florian Richter; Thomas Hellström; Suna Bensch (PAAMS (Workshops), 2020)

How Can a Robot Trigger Human Backchanneling? - Adna Bliek; Suna Bensch; Thomas Hellström (RO-MAN, 2020)

Bias in Machine Learning What is it Good (and Bad) for? - Thomas Hellström; Virginia Dignum; Suna Bensch (CoRR, 2020)

Development of a sweet pepper harvesting robot. - Boaz Arad; Jos Balendonck; Ruud Barth; Ohad Ben-Shahar; Yael Edan; Thomas Hellström; Jochen Hemming; Polina Kurtser; Ola Ringdahl; Toon Tielen; Bart van Tuijl (J. Field Robotics, 2020)

Inference of the Intentions of Unknown Agents in a Theory of Mind Setting. - Michele Persiani; Thomas Hellström (PAAMS, 2021)

Natural language guided object retrieval in images. - Ahmad Ostovar; Suna Bensch; Thomas Hellström (Acta Informatica, 2021)

Conversational Norms for Human-Robot Dialogues. - Maitreyee Tewari; Thomas Hellström; Suna Bensch (CoRR, 2021)

WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. - Finn Rietz; Alexander Sutherland; Suna Bensch; Stefan Wermter; Thomas Hellström (Frontiers Robotics AI, 2021)

The relevance of causation in robotics: A review, categorization, and analysis. - Thomas Hellström (Paladyn J. Behav. Robotics, 2021)

Verbal explanations by collaborating robot teams. - Avinash Kumar Singh; Neha Baranwal; Kai-Florian Richter; Thomas Hellström; Suna Bensch (Paladyn J. Behav. Robotics, 2021)

The Mirror Agent Model: A Bayesian Architecture for Interpretable Agent Behavior. - Michele Persiani; Thomas Hellström (EXTRAAMAS@AAMAS, 2022)

Informative Communication of Robot Plans. - Michele Persiani; Thomas Hellström (PAAMS, 2022)

Robot Causal Discovery Aided by Human Interaction. - Filip Edström; Thomas Hellström; Xavier de Luna (RO-MAN, 2023)

AI and its consequences for the written word. - Thomas Hellström (Frontiers Artif. Intell., 2023)

Policy regularization for legible behavior. - Michele Persiani; Thomas Hellström (Neural Comput. Appl., 2023)

The experience of humans' and robots' mutual (im)politeness in enacted service scenarios: An empirical study. - Victor Kaptelinin; Suna Bensch; Thomas Hellström; Patrik Björnfot; Shikhar Kumar (CoRR, 2024)

Apocalypse now: no need for artificial general intelligence. - Thomas Hellström; Suna Bensch (AI Soc., 2024)