| Industrial size job shop scheduling tackled by present day CP solvers G Da Col, EC Teppan Principles and Practice of Constraint Programming: 25th International …, 2019 | 47 | 2019 |
| Industrial-size job shop scheduling with constraint programming G Da Col, EC Teppan Operations Research Perspectives 9, 100249, 2022 | 45 | 2022 |
| Google vs IBM: A constraint solving challenge on the job-shop scheduling problem G Da Col, E Teppan arXiv preprint arXiv:1909.08247, 2019 | 29 | 2019 |
| Application of an artificial intelligence algorithm to prognostically stratify grade II gliomas D Cesselli, T Ius, M Isola, F Del Ben, G Da Col, M Bulfoni, M Turetta, ... Cancers 12 (1), 50, 2019 | 17 | 2019 |
| Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms. E Teppan, G Da Col CIMA@ ICTAI, 43-57, 2018 | 12 | 2018 |
| Declarative decomposition and dispatching for large-scale job-shop scheduling G Da Col, EC Teppan KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016 | 12 | 2016 |
| Learning constraint satisfaction heuristics for configuration problems G Da Col, EC Teppan 19Th international configuration workshop 8, 2017 | 9 | 2017 |
| Image analysis of circulating tumor cells and leukocytes predicts survival and metastatic pattern in breast cancer patients G Da Col, F Del Ben, M Bulfoni, M Turetta, L Gerratana, S Bertozzi, ... Frontiers in Oncology 12, 725318, 2022 | 5 | 2022 |
| Genetic algorithms for creating large job shop dispatching rules EC Teppan, G Da Col Advances in Integrations of Intelligent Methods: Post-workshop volume of the …, 2020 | 5 | 2020 |
| Large-scale benchmarks for the job shop scheduling problem G Da Col, E Teppan arXiv preprint arXiv:2102.08778, 2021 | 3 | 2021 |
| A fully interpretable machine learning model for increasing the effectiveness of urine screening F Del Ben, G Da Col, D Cobârzan, M Turetta, D Rubin, P Buttazzi, ... American Journal of Clinical Pathology 160 (6), 620-632, 2023 | 2 | 2023 |
| Heuristic Search for Tetris: A Case Study G Da Col, EC Teppan Intelligent Computing: Proceedings of the 2019 Computing Conference, Volume …, 2019 | 1 | 2019 |
| Pursuing the Optimal CP Model: A Batch Scheduling Case Study G Da Col, E Teppan Proceedings of SAI Intelligent Systems Conference, 508-520, 2023 | | 2023 |
| Sensorbasierte Feuchtigkeitsprognose für Flachdächer G Da Col, E Eggeling, M Hudelist, C Schinko, C Surtmann, E Teppan Jahrbuch Instandhaltungstage 2023, 136-138, 2023 | | 2023 |
| Sensor-Based Moisture Prediction for Flat Roofs 1 G Da Col, E Eggeling, M Hudelist, C Schinko, C Surtmann, E Teppan PAIS 2022, 149-152, 2022 | | 2022 |
| Network Connectivity in Mobile Robot Exploration A Torsten, G Da Col, M Rappaport Austrian Robotic Workshop, 26-27, 2015 | | 2015 |
| A Preliminary Study to Tackle Sawmill Production Scheduling with ASP G Da Col, P Fleiss, A Tarzariol, EC Teppan, E Wiegelmann | | |
Erich TeppanUniversität KlagenfurtBestätigte E-Mail-Adresse bei aau.at