| 2024 | WISE | Anomaly Detection in Log Streams Based on Time-Contextual Models. | Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar |
| 2023 | ICSOC | Time-Aware Log Anomaly Detection Based on Growing Self-organizing Map. | Daniil Fedotov, Jaroslav Kuchar, Tomas Vitvar |
| 2020 | RecSys | Combining Models for Better User Satisfaction in Video Recommendation. | Josef Florian, Jakub Drdk, Radek Tomsu, Karel Koupil, Vclav Blahut, Jaroslav Kuchar, Michal Rehor |
| 2019 | SIGIR | Vertical Search Blending: A Real-world Counterfactual Dataset. | Pavel Prochzka, Matej Kocin, Jakub Drdk, Jan Vrsovsk, Vladimr Kadlec, Jaroslav Kuchar |
| 2017 | KDD | Spotlighting Anomalies using Frequent Patterns. | Jaroslav Kuchar, Vojtech Svtek |
| 2015 | WEBIST | Time-aware Link Prediction in RDF Graphs. | Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar |
| 2015 | WEBIST | Exploiting Temporal Dimension in Tensor-Based Link Prediction. | Jaroslav Kuchar, Milan Dojchinovski, Tomas Vitvar |
| 2014 | ECAI | Orwellian Eye: Video Recommendation with Microsoft Kinect. | Toms Kliegr, Jaroslav Kuchar |
| 2013 | RecSys | GAIN: web service for user tracking and preference learning - a smart TV use case. | Jaroslav Kuchar, Toms Kliegr |