Publikationen

Peer-reviewed: Journal-Paper

1. Holsteg, S., Askeridis, J. M., Krajewski, J., Mildner, P., Freitag, S., Müller, T., ... & Karger, A. (2024). Virtual reality roleplays for patients with depression: A user experience evaluation. Internet Interventions, 100713.

2. Warule, P., Mishra, S. P., Deb, S., & Krajewski, J. (2023). Sinusoidal model-based diagnosis of the common cold from the speech signal. Biomedical Signal Processing and Control, 83, 104653.

3. Deb, S., Warule, P., Nair, A., Sultan, H., Dash, R., & Krajewski, J. (2023). Detection of common cold from speech signals using deep neural network. Circuits, Systems, and Signal Processing, 42(3), 1707-1722.

4. Hidalgo-Gadea, G., Kreuder, A., Krajewski, J., & Vorstius, C. (2021). Towards better microsleep predictions in fatigued drivers: Exploring benefits of personality traits and IQ. Ergonomics, 64(6), 778-792.

5. Martin, V. P., Rouas, J. L., Micoulaud-Franchi, J. A., Philip, P., & Krajewski, J. (2021). How to Design a Relevant Corpus for Sleepiness Detection Through Voice? Frontiers in Digital Health, 3, 1-23

6. Freiwald, J., Hoppe, M. W., Beermann, W., Krajewski, J., & Baumgart, C. (2018). Effects of supplemental heat therapy in multimodal treated chronic low back pain patients on strength and flexibility. Clinical Biomechanics, 57, 107-113.

7. Cummins, N., Sethu, V., Epps, J., Williamson, J. R., Quatieri, T. F., & Krajewski, J. (2017). Generalized two-stage rank regression framework for depression score prediction from speech. IEEE Transactions on Affective Computing, 11(2), 272-283.

8. Deb, S., Dandapat, S., & Krajewski, J. (2017). Analysis and classification of cold speech using variational mode decomposition. IEEE Transactions on Affective Computing, 11(2), 296-307.

9. Cummins, N., Sethu, V., Epps, J., Schnieder, S., & Krajewski, J. (2015). Analysis of acoustic space variability in speech affected by depression. Speech Communication, 75, 27-49.

10. Sauerland, M., Soyeaux, H. M., & Krajewski, J. (2015). The influence of dysfunctional cognitions on job-related experiences and behaviour-a cognitive-behavioural perspective. International Journal of Human Resources Development and Management, 15(1), 40-53.

11. Cummins, N., Scherer, S., Krajewski, J., Schnieder, S, Epps, J.&Quatierif, T.F. (2015). A review of depression and suicide risk detection and assessment using speech analysis paralinguistic analysis of depressed and pre-suicidal speech: a review.Computer Speech and Language, 71, 10-49.

12. Sezgin, C., Gunsel, B., Krajewski, J. (2015). Medium term speaker state detection by perceptually masked spectral features. Computer Speech and Language, 67, 26-41.

13. Schuller, B., Steidl, S., Batliner, A., Schiel, F., Krajewski, J. (2014). Introduction to the special issue on broadening the view on speaker analysis. Computer Speech and Language, 28, 343-345.

14. Holtfort, T., & Krajewski, J. (2014). Black swans, antifragility and pattern recognition at the German stock market. Corporate Finance, 12, 513-515.

15. Schuller, B., Steidl, S., Batliner, A., Schiel, F., Krajewski, J. (2014). Medium-Term Speaker States - A review on intoxication, sleepiness and the first challenge. Computer Speech and Language, 28, 346-374.

16. Schnieder, S., Stappert, S., Takahashi, M., Fricchione, G. L., Esch, T., & Krajewski, J. (2013). Sustainable reduction of sleepiness through salutogenic self-care procedure in lunch breaks: A Pilot Study. Evidence-Based Complementary and Alternative Medicine, 5, 1-10.

17. Sauerland, M., & Krajewski, J. (2012). Banner Blindness - Ein psychologischer Erklärungsversuch. Transfer: Werbeforschung und Praxis, 58, 6-17.

18. Sauerland, M., Felser, G., & Krajewski, J. (2012). The effects of incidental ad exposure on consumption-enhancing and consumption-critical processes. Psychology & Marketing. 29, 782-790.

19. Schnieder, S., Krajewski J., Esch, T., Baluch, B. & Wilhelm, B. (2012). Just valid or even accurate: Determine the measurement accuracy of the Pupillographic Sleepiness Test by applying self- and observer ratings. Somnology, Sleep Research and Sleep Medicine, 1, 1-15.

20. Weninger, F., Krajewski, J., Batliner, A., Schuller, B. (2012). Voice of leadership: Models and performances of automatic analysis in on-Line Speeches. IEEE Transactions On Affective Computing, 4, 496-508.

21. Krajewski, J., Schnieder, S., Golz, M., Batliner, A., & Schuller, B. (2012). Applying multiple classifiers and non-linear dynamics feature for detecting sleepiness from speech. Journal of Neurocomputing, 84, 65-75.

22. Krajewski, J., Mühlenbrock, I., Schnieder, S. & Seiler, K. (2011). Wege aus der müden (Arbeits-) Gesellschaft: Erklärungsmodelle, Messansätze und Gegenmaßnahmen. Zeitschrift für Arbeitswissenschaft, 65, 97-115.

23. Krajewski, J., Sauerland, M., & Muessigmann, M. (2011). The effects of priming-induced social approach and avoidance goals on the exploration of goal-relevant stimuli: An eye-tracking experiment. Journal of Social Psychology,42, 152-158.

24. Krajewski, J., Sauerland, M., Sommer, D. &Golz, M. (2010). Phonetisch-akustische Schläfrigkeitsdetektion – eine Pilotstudie. Somnology, Sleep Research and Sleep Medicine, 4, 1-7.

25. Krajewski, J., Wieland, R., & Sauerland, M. (2010). Regulating strain states by using the recovery potential of lunch breaks. Journal of Occupational Health Psychology, 15, 131-139.

26. Krajewski, J., Sauerland, M., & Wieland, R. (2010). Relaxation-induced cortisol changes within lunch breaks - An experimental longitudinal worksite field study. Journal of Occupational and Organizational Psychology, 1, 1-14.

27. Krajewski, J., Batliner, A., & Golz, M. (2009).Acoustic sleepiness detection – Framework and validation of a speech adapted pattern recognition approach.Behavior Research Methods, 41,795-804.

Peer-reviewed: Proceeding-Paper

1. Hemsen, B., Wittenborn, A., Holsteg, S., Karger, A., Freitag, S., Mildner, P., Piesk, J., Storch, D. & Krajewski, J., (2021). DeepVR: Conceptual Background and Implementation of a VR-based Support System in the Psychotherapeutic Treatment of Depression. In Schneegass, S., Pfleging, B. & Kern, D. (Hrsg.), Mensch und Computer 2021 - Tagungsband. New York: ACM. (S. 447-454).

2. Mühl, L., Horstmann, A. C., Wittenborn, A., Storch, D., & Krajewski, J. (2021). Screen Me, Smartphone! Using an AI-Screening Tool to Assist Underage Refugees in Recognizing Potential Traumatization. In Mensch und Computer 2021 (pp. 54-58).

3. Baird, A., Cummins, N., Schnieder, S., Krajewski, J., & Schuller, B. W. (2020). An Evaluation of the Effect of Anxiety on Speech–Computational Prediction of Anxiety from Sustained Vowels. In Proceedings of Interspeech, 4951-4955.

4. Martin, V. P., Rouas, J. L., Thivel, P., & Krajewski, J. (2019). Sleepiness detection on read speech using simple features. In 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD) (pp. 1-7). IEEE.

5. Schuller, B. W., Batliner, A., Bergler, C., Pokorny, F. B., Krajewski, J., Cychosz, M., & Schmitt, M. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. In Proceedings of Interspeech, 1-5.

6. Ren, Z., Cummins, N., Han, J., Schnieder, S., Krajewski, J., & Schuller, B. (2018). Evaluation of the pain level from speech: Introducing a novel pain database and benchmarks. Speech Communication; 13th ITG-Symposium (pp. 1-5). VDE.

7. Gadea, G. H., Kreuder, A., Stahlschmidt, C., Schnieder, S., & Krajewski, J. (2018). Brute Force ECG Feature Extraction Applied on Discomfort Detection. In International Conference on Information Technologies in Biomedicine (pp. 365-376). Springer, Cham.

8. Pilz, C. S., Zaunseder, S., Canzler, U., & Krajewski, J. (2017). Heart rate from face videos under realistic conditions for advanced driver monitoring. Current Directions in Biomedical Engineering, 3(2), 483-487.

9. Ren, Z., Cummins, N., Han, J., Schnieder, S., Krajewski, J., & Schuller, B. (2018). Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. In Speech Communication; 13th ITG-Symposium (pp. 1-5). VDE.

10. Pir, D., & Krajewski, J. (2018). Relevant Acoustic Group Features for Automatic Sleepiness Recognition. In ICT4AWE (pp. 209-214).

11. Pilz, C. S., Zaunseder, S., Krajewski, J., & Blazek, V. (2018). Local Group Invariance for Heart Rate Estimation from Face Videos in the Wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 1254-1262).

12. Krajewski, J., Schnieder, S., & Batliner, A. (2017). Description of the Upper Respiratory Tract Infection Corpus (URTIC). In INTERSPEECH.

13. Pir, D., Brown, T., & Krajewski, J. (2017). Automatic Driver Sleepiness Detection using Wrapper-Based Acoustic Between-Groups, Within-Groups, and Individual Feature Selection. In VEHITS (pp. 196-202).

14. Cummins, N., Hantke, S., Schnieder, S., Krajewski, J., & Schuller, B. (2017). Classifying the context and emotion of dog barks: a comparison of acoustic feature representations. In Proceedings Pre-Conference on Affective Computing 2017 SAS Annual Conference, (Boston, MA) (pp. 14-15).

15. Pilz, C. S., Krajewski, J., & Blazek, V. (2017, September). On the diffusion process for heart rate estimation from face videos under realistic conditions. In German Conference on Pattern Recognition (pp. 361-373). Springer, Cham.

16. Cummins, N., Schmitt, M., Amiriparian, S., Krajewski, J., & Schuller, B. (2017, July). “You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3806-3809). IEEE.

17. Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., ... & Warlaumont, A. S. (2017). The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring. In Computational Paralinguistics Challenge (ComParE), Interspeech 2017 (pp. 3442-3446).

18. Krajewski, J., Schnieder, S., Monschau, C., Titt, R., Sommer, D., & Golz, M. (2016). Large Sleepy Reading Corpus (LSRC): Applying read speech for detecting sleepiness. in speech communication; 12. ITG Symposium; Proceedings of (pp. 1-4). VDE.

19. Golz, M., Sommer, D., & Krajewski, J. (2016). Prediction of immediately occurring microsleep events from brain electric signals. Current Directions in Biomedical Engineering, 2(1), 149-153.

20. Gunsel, B., Cirakman, O., & Krajewski, J. (2015). Speaker emotional state classification by DPM models with annealed SMC samplers. In Signal Processing Conference (EUSIPCO), 2015 23rd European (pp. 120-124). IEEE.

21. Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2015). Weighted pairwise Gaussian likelihood regression for depression score prediction. InAcoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 4779-4783). IEEE.

22. Cummins, N., Sethu, V., Epps, J., & Krajewski, J. (2015). Relevance vector machine for depression prediction. In Sixteenth Annual Conference of the International Speech Communication Association.

23. Golz, M., Sommer, D., & Krajewski, J. (2015). Driver sleepiness assessed by electroencephalography–different methods applied to one single data set. In Proc 8th Int Conf Driving Assessment.

24. Leder, A., Krajewski, J., & Schnieder, S. (2014). Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz chronobiologisch angepasster LED-Kabinenbeleuchtung. Deutsche Gesellschaft für Luft-und Raumfahrt-Lilienthal-Oberth eV.

25. Sommer, D., Schenka, A., Krajewski, J., & Golz, M. (2014). Are Smartphones Applicable for Posturography? A Classification Analysis Based on Computational Intelligence. Biomedical Engineering-Biomedizinische Technik, 59, S865-S865.

26. Valstar, M., Schuller, B., Smith, K., Almaev, T., Eyben, F., Krajewski, J., & Pantic, M. (2014). Avec 2014: 3d dimensional affect and depression recognition challenge. In Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (pp. 3-10). ACM.

27. Cummins, N., Sethu, V., Epps, J., & Krajewski, J. (2014). Probabilistic acoustic volume analysis for speech affected by depression. In Annual Conference of the International Speech Communication Association (pp. 1238-1242).

28. Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Automatic Modelling of Depressed Speech: Relevant Features and Relevance of Gender. In Fifteenth Annual Conference of the International Speech Communication Association.

29. Valstar, M., Schuller, B. W., Krajewski, J., Cowie, R., & Pantic, M. (2014). AVEC 2014: the 4th international audio/visual emotion challenge and workshop. In Proceedings of the ACM International Conference on Multimedia (pp. 1243-1244). ACM.

30. Hönig, F., Batliner, A., Nöth, E., Schnieder, S. & Krajewski, J. (2014). Acoustic-Prosodic Characteristics of Sleepy Speech - Between Performance and Interpretation. Proceedings Speech Prosody, 4 Pages, no Pagination.

31. Hönig, F., Batliner, A., Bocklet, T., Stemmer, G., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Are men more sleepy than women or does it only look like–automatic analysis of sleepy speech. ICASSP.

32. Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2014). Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 970-974). IEEE.

33. Gunsel, B., Sezgin, C., & Krajewski, J. (2013). Sleepiness detection from speech by perceptual features. Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 788-792.

34. Valstar, M., Schuller, B., Krajewski, J., Cowie, R., & Pantic, M. (2013). Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13). Proceedings of the 21st ACM international conference on Multimedia, 21, 1085-1086.

35. Golz, M., Sommer, D., Trutschel, U., Krajewski, J., & Sirois, B. (2013). Driver Drowsiness Immediately before Crashes–A Comparative Investigation of EEG Pattern Recognition. Proceedings Human Factors in Driver Assessment, Training and Vehicle Design, 7,516-522

36. Bohlmann, D., & Krajewski, J. (2012). Feature reduction and pattern classification for financial forecasting - A comparative study on different optimization strategies. Proceedings of the 36th Annual Conference of the German Classification Society (GfKl) on Data Analysis, Machine Learning and Knowledge Discovery, 74.

37. Krajewski, J., Schnupp, T., Heize, C., Schnieder, S., Laufenberg, T., Sommer, D., & Golz, M. (2012). A phonetic approach for detecting sleepiness from speech in simulated Air traffic Controller communication. In D. de Waard, N. Merat, Jamson Y. Barnhard, and O.M.J. Carsten (Eds.) Human Factors of Systems and Technology, (pp. 147-155). Maastricht, the Netherlands: Shaker.

38. Pursche, T., Krajewski, J., & Möller, R. (2012). Video-based heart rate measurement from human faces. IEEE International Conference on Consumer Electronics, 29, 544 - 545.

39. Schuller, B., Batliner, A., Steidl, S., Schiel, F., & Krajewski, J. (2011). The Interspeech 2011 speaker state challenge. Proceedings Interspeech, 12, 3201–3204

40. Golz, M., Sommer, D. Krajewski, J., Trutschel, U. & Edwards, D.I. (2011). Microsleep episodes and related crashes during overnight driving simulations. Proceedings Human Factors in Driver Assessment, Training and Vehicle Design, 6, 39-45.

41. Schnupp, T., Schenka, A., Sommer, D., Golz, M., & Krajewski, J. (2010). Using postural control system measures to detect hypovigilance. Proceedings Measuring Behaviour, 7, 189-191.

42. Krajewski, J., Sommer, D., Schnupp, T., Laufenberg, T., Heinze, C., & Golz, M. (2010). Applying nonlinear dynamics features for speech-based fatigue detection. Proceedings Measuring Behaviour, 7, 322-325.

43. Krajewski, J., Golz, M., Schnieder, S., Schnupp, T., Heinze, C., & Sommer, D. (2010). Detecting fatigue from steering behaviour applying continuous wavelet transform. Proceedings Measuring Behaviour, 7, 326-329.

44. Krajewski, J., Schnupp, T., Schnieder, S., Sommer, D. Heinze, C., & Golz, M. (2010). Pattern recognition methods – A novel analysis for pupillographic sleepiness test. Proceedings Measuring Behaviour, 7, 459-462.

45. Schenka, C., Schnupp, T., Heinze, C., Krajewski, J., & Golz, M. (2010). The compensatory tracking task: A pattern recognition based approach for classifying vigilance. Proceedings Measuring Behaviour, 7, 470-472.

46. Koeberlein, J., Krajewski, J., Schaffert, C., Wieland, R., & Moesges, R. (2010). Optimization of guidelines’ sustainability by evaluating factors predicting treatment response in patients with allergic rhinitis. Value in Health, 13, 327. (IF 3,03)

47. Krajewski, J., & Koeberlein, J. (2010). Advanced pattern recognition methods for predicting treatment response in patient suffering from allergic rhinitis. Value in Health, 13, 328.

48. Krajewski, J., Batliner, A., Keßel, S. (2010). Comparing multiple classifiers for speech-based detection of self-confidence – a pilot study. Proceedings International Conference on Pattern Recognition, 20, (4 pages), no pagination.

49. Golz, M., Sommer D., Krajewski, J., Trutschel, U., & Edwards, D.I. (2010). A new measure of sleepiness during sustained operations. Proceedings Biosignal 2010, Juli 14-16, Berlin.

50. Schnupp, T., Sommer, D., Krajewski, J., Walther, L. & Golz, M. (2010). Testing for vigilance by posturography using recurrent neural networks. Proceedings Vigilance, 1,141-144.

51. Krajewski, J., Laufenberg, T., Heinze, C., Schnupp, T., Sommer, D., Trutschel, U., & Golz, M. (2010). Nonlinear dynamics measures for sleepiness detection from speech. Proceedings Vigilance, 1,119-125.

52. Krajewski, J., Peters, T., Wilhelm, B. (2010). Employing multiple classifier for improving the pupillographic sleepiness test. Proceedings Vigilance, 1, 13-19.

53. Krajewski, J., Schnieder, S., Sommer, D., Trutschel, U., Schnupp, T., Heinze, C., & Golz, M. (2010). Continuous wavelet vs. fourier transform-based feature extraction for recognizing sleepiness from steering behaviour. Proceedings Vigilance, 1, 75-80.

54. Schnupp, T., Sommer, D., Krajewski, J., & Golz, M. (2010). Data analysis of the pupillographic sleepiness test utilizing computational intelligence. ProceedingsVigilance, 1, 25-30.

55. Golz, M., Sommer, D., & Krajewski, J. (2009). Intra-subject variability of fatigue estimation based on driving variables. IFMBE Proceedings, 25, 1657-1660.

56. Schnupp, T., Schenka, A., Edwards, D., Krajewski, J., & Golz, M. (2009). Is posturography a candidate for a vigilance test? World Congress on Medical Physics and Biomedical Engineering, IFMBE Proceedings, 25 (9), 388-392.

57. Heinze, C., Trutschel, U., Schnupp, T., Sommer, D., Schenka, A., Krajewski, J. & Golz, M. (2009). Operator fatigue estimation using heart rate measures.World Congress on Medical Physics and Biomedical Engineering, IFMBE Proceedings, 25 (9), 930-934.

58. Krajewski, J., Sommer, D., Trutschel, U., Edwards, D., & Golz, M. (2009). Steering wheel behavior based estimating of fatigue. Proceeding International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 4, 118-124.

59. Krajewski, J., Trutschel, U., Golz, M., Sommer, D., & Edwards, D. (2009). Estimating fatigue from predetermined speech samples transmitted by operator communication. Proceeding International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 4, 468-474.

60. Sommer, D., Golz, M., Schupp, T., Krajewski, J., Trutschel, U., & Edwards, D. (2009). A measure of strong driver fatigue. Proceeding International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 4, 9-15.

61. Krajewski, J., Batliner, A., & Wieland, R. (2009). Multiple classifier applied on predicting microsleep from speech. In ICPR (Eds.), 19th Conference on Pattern Recognition (4 pages, no pagination). Tampa/ Florida: IEEE Computer Society Press.

62. Krajewski, J., Wieland, R., Sommer, D., & Golz, M. (2009). Fatigue in air traffic communication. Combining acoustic features within a computational intelligence approach. In EAAP (Eds.), 28th Conference of the European Association for Aviation Psychology (pp. 193-197). Valencia: University of Valencia.

63. Krajewski, J., Golz, M., Sommer, D., & Wieland, R. (2008). Genetic algorithm based feature selection applied on predicting microsleep from speech. In J. Vander Sloten, P. Verdonck, M. Nyssen, & J. Haueisen (Eds.), IFMBE Proceedings, 22 (pp. 184-187). Springer: Berlin.

64. Krajewski, J., Golz, M., Sommer, D., & Wieland, R (2008). A speech adapted pattern recognition framework for measuring energetic states using low level descriptors and functionals. In A.J. Spink, M.R. Ballintijn, N.D. Bogers, F. Grieco, L.W.S. Loijens, L.P.J.J. Noldus, G. Smit, & P.H. Zimmerman (Eds.), Proceedings of Measuring Behavior 2008 (pp. 178-180). Maastrich: Noldus.

65. Krajewski, J., Wieland, R., & Batliner, A. (2008). An acoustic framework for detecting fatigue in speech based Human-Computer-Interaction. In K. Miesenberger, J. Klaus, W. Zagler, & A. Karshmer (Eds.), Computers Helping People with Special Needs (pp. 54-61). Heidelberg: Springer.

66. Sommer, D., Golz, M., & Krajewski, J. (2008). Consecutive detection of extreme central fatigue. In J. Vander Sloten, P. Verdonck, M. Nyssen, & J. Haueisen (Eds.), IFMBE Proceedings, 22 (pp. 243-247). Springer: Berlin.

67. Sommer, D. Golz, M., Krajewski, J., & Mandic, D. (2008). Improved microsleep detection: Combining different types of biosignals and of features. In H. Malberg, H., T. Sander-Thömmes, N. Wessel, & Wolf, W. (Eds.), Biosignalverarbeitung 2008 - Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale (pp. 176-179). Potsdam: University Potsdam.

68. Krajewski, J., & Kröger, B. (2007). Using prosodic and spectral characteristics for sleepiness detection.Interspeech Proceedings, 8, 1841-1844.