Publications

Showing 235 publications

Joint Input and Predictive Model Parameters Selection for Financial Forecasting

Shcherbatyi, I., Maass, W.

European Conference on Data Analysis (ECDA)

Proposes a joint approach for input and model parameter selection in financial forecasting.

Financial Forecasting Model Parameters ECDA
View Paper
2018

Smart Services in der Landwirtschaft. Die Digitalisierung der Kartoffel als Fallbeispiel für Smart Services in der Landwirtschaft

Maass, W., Pier, M., Moser, B., Meyer, K., Klinger, S., Zinke, C.

Service Engineering, Springer Fachmedien Wiesbaden, pp. 167-181

Highlights the role of smart services in agriculture, using the digitization of potatoes as a case study.

Smart Services Agriculture Digitization
2018

Smarte Farmen: Wenn künstliche Intelligenz bei Saat und Ernte hilft – Echtzeitsteuerung in der Landwirtschaft durch datengetriebene Dienste und Datenanalytik

Maass, W.

IM+io – Best & Next Practices aus Digitalisierung, Management und Wissenschaft, 33(3), pp. 36-41

Discusses the application of AI for real-time control in agricultural processes.

Agriculture AI Data Analytics
2018

inSIDE Fair Dialogues: Assessing and Maintaining Fairness in Human-Computer-Interaction

Janzen, S.; Bleymehl, R.; Alam, A.; Xu, S.; Stein, H.

Demo In Proceedings of Conference 'Mensch und Computer 2018' (MuC2018)

A demo showcasing techniques for assessing and maintaining fairness in human-computer interactions.

Fairness Human-Computer Interaction MuC
View Paper
2018

Big Data and Theory

Maass, W.; Parsons, J.; Purao, S.; Rosales, A.; Storey, V.C.; Woo, C.C.

Encyclopedia of Big Data, Springer, pp. 1–5.

Explores the integration of big data with theoretical frameworks.

Big Data Theoretical Frameworks Springer
2017

Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models

Maass, W.; Shcherbatyi, I.

Hawaii International Conference on System Sciences (HICSS).

Proposes a data-driven method for statistically confirming structural models.

Statistical Learning Structural Models HICSS
2017

Heiße Kartoffel – Echtzeitanalyse während des Ernteprozesses

Maass, W.; Pier, M.

atp plus, 04, pp. 62–65.

Describes real-time analysis methods used during the harvesting process.

Agriculture Real-time Analysis Harvesting
View Paper
2017

Measuring Biosignals of Overweight and Obese Children for Real-time Feedback and Predicting Performance

Öksüz, N.; Biswas, R.; Shcherbatyi, I.; Maass, W.

Information Systems and Neuroscience – Gmunden Retreat on NeuroIS 2017, Springer.

Investigates the use of biosignals to provide real-time feedback for overweight and obese children.

Biosignals Obesity Real-time Feedback
2017

Method for secure electronic voting system: face recognition based approach

Alim, M. A.; Baig, M. M.; Mehboob, S.; Naseem, I.

Second International Workshop on Pattern Recognition.

Proposes a secure electronic voting system using face recognition for identity verification.

Electronic Voting Face Recognition Security
2017

Real-time Decision Making with Smart Farming Services

Maass, W.; Shcherbatyi, I.; Marquardt, S.

Proc. of 75th International Conference on Agricultural Engineering (AgEng).

Focuses on real-time decision-making systems for smart farming services.

Smart Farming Real-time Decision Making AgEng
2017

Balancing Dialogues with Mixed Motives

Janzen, S., Maass, W.

Computational Pragmatics Workshop at 2016 Annual Conference of the German Linguistic Society, 2016, 38.

Investigates approaches to balance dialogues with congruent and incongruent participant motives.

Dialogues Mixed Motives Computational Pragmatics
2016

Childhood obesity therapy: who benefits from an information technology (IT) supported treatment?

Kowatsch, T.; Pletikosa Cvijikj, I.; Brogle, B.; Dintheer, A.; Wiegand, D.; Durrer, D.; Maass, W.; Büchter, D.

Hormone Research in Paediatrics.

Examines the benefits of IT-supported treatments for childhood obesity therapy.

Childhood Obesity IT-supported Therapy Pediatrics
2016

Convexification of Learning from Constraints

Shcherbatyi, I.; Andres, B.

Lecture Notes in Computer Science, 9796, pp. 79–90.

Presents a convexification approach for learning from constraints in machine learning.

Convexification Constraints Machine Learning
2016

Cross-border Health Care – The key to a sustainable health care coverage in border regions?

Dorka, S.; Stein, H.; Janzen, S.; Maass, W.

European Public Health Conference 2016.

Explores cross-border healthcare solutions as a sustainable approach for healthcare coverage in border regions.

Cross-border Healthcare Sustainability Public Health
2016

Finding the Middle Ground – A Model for Planning Satisficing Answers

Janzen, S., Maass, W., Kowatsch, T.

In Proceedings of 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), 2016.

Proposes a model for planning answers that balance competing interests in dialogues.

Satisficing Answers Planning ACL
2016
Showing 106 to 120 of 235 publications