Journals

1. Stavros Ntalampiras, Ilyas Potamitis, and Nikos Fakotakis, “An Adaptive Framework for Acoustic Monitoring of Potential Hazards”, EURASIP Journal on Audio, Speech, and Music Processing Volume 2009 (2009), Article ID 594103, doi:10.1155/2009/594103 (impact factor: 0.341).

2. Stavros Ntalampiras, Ilyas Potamitis, and Nikos Fakotakis, “Exploiting Temporal Feature Integration for Generalized Sound Recognition”, EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 807162, doi:10.1155/2009/807162, (impact factor: 1.012).

3. Stavros Ntalampiras, Ilyas Potamitis, and Nikos Fakotakis, “A Practical System for Acoustic Surveillance of Hazardous Situations”, International Journal of Artificial Intelligence Tools, vol. 20(1), doi: 10.1142/S021821301100005X (impact factor: 0.320).

4. Stavros Ntalampiras, Ilyas Potamitis, and Nikos Fakotakis, “Probabilistic Novelty Detection for Acoustic Surveillance Under Real-World Conditions”, IEEE Transactions on Multimedia, vol. 13, no. 4, August 2011 (impact factor: 1.684).

5. Stavros Ntalampiras, Ilyas Potamitis, Nikos Fakotakis, and Spyros Kouzoupis, “Automatic Recognition of an Unknown and Time-Varying Number of Simultaneous Environmental Sound Sources”, Journal of World Academy of Science, Engineering and Technology, vol.59, 2011 (invited). https://www.waset.org/journals/waset/v59/v59-393.pdf

6. Stavros Ntalampiras and Nikos Fakotakis, “Modeling the Temporal Evolution of Acoustic Parameters for Speech Emotion Recognition”, IEEE Transactions on Affective Computing, Jan.-March 2012, vol. 3, no. 1, pp. 116-125. http://www.computer.org/csdl/trans/ta/2012/01/tta2012010116-abs.html.

7. Stavros Ntalampiras, Dejan Arsic, Martin Hofmann, Maria Andersson and Todor Ganchev, “PROMETHEUS: Heterogeneous sensor database in support of research on human Behavioral patterns in unrestricted environments”, Signal, Image and Video Processing, Springer, June 2012, DOI 10.1007/s11760-012-0346-9 (impact factor 0.617). http://link.springer.com/article/10.1007%2Fs11760-012-0346-9

8. Stavros Ntalampiras, Ilyas Potamitis, Nikos Fakotakis, “Acoustic Detection of Human Activities in Natural Environments”, Journal of Audio Engineering Society, Vol. 60, No. 9, 2012 September (impact factor 0.537). http://www.aes.org/e-lib/browse.cfm?elib=16373

9. Stavros Ntalampiras, “A Novel Holistic Modeling Approach for Generalized Sound Recognition”, IEEE Signal Processing Letters, vol. 20, no. 2, pp. 185-188, Feb. 2013, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6403508 (impact factor 1.388).

10*. Cesare Alippi, Stavros Ntalampiras, Manuel Roveri, “A Cognitive Fault Diagnosis System for Distributed Sensor Networks”, IEEE Transactions on Neural Networks and Learning Systems, vol.24, no.8, pp.1213-1226, Aug. 2013, http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6502725 (impact factor 3.766).

11. Stavros Ntalampiras, “Directed Acyclic Graphs for Content-based Sound, Musical Genre and Speech Emotion Classification”, Journal of New Music Research, Taylor & Francis, vol. 43, issue 2, June 2014 (impact factor 0.767).

12. Ilyas Potamitis, Stavros Ntalampiras, Olaf Jahn, and Klaus Riede, “Automatic Bird Sound Detection in Long Real Field Recordings: Applications and Tools”, Applied Acoustics, Elsevier, vol. 80, pp. 1-9, 2014 (impact factor 1.097).

13. Stavros Ntalampiras, “Universal Background Modeling for Acoustic Surveillance of Urban Traffic”, Digital Signal Processing, Elsevier, vol. 31, august 2014, pp. 69–78 (impact factor 1.918).

14. Olaf Jonkeren, Ivano Azzini, Luca Galbusera, Stavros Ntalampiras, Georgios Giannopoulos, “Analysis of Critical Infrastructure Network Failure in the European Union: A Combined Systems Engineering and Economic Model”, Networks and Spatial Economics, Special Issue on Resilience and Vulnerability of Spatial Economic Networks, Springer, pp. 1-18, 2014 (impact factor 1.8).

15. Stavros Ntalampiras, “Fault Identification in Distributed Sensor Networks Based on Universal Probabilistic Modelling”, IEEE Transactions on Neural Networks and Learning Systems (accepted, impact factor 4.3).

16. Stavros Ntalampiras, “Audio Pattern Recognition of Baby Crying Sound Events”, Journal of Audio Engineering Society (accepted, impact factor 0.83).

17. Stavros Ntalampiras, “Detection of Integrity Attacks in Cyber-Physical Critical Infrastructures Using Ensemble Modeling”, IEEE Transactions on Industrial Informatics, vol.11, no.1, pp.104-111, Feb. 2015 (impact factor: 8.7).

19. Stavros Ntalampiras, Yannis Soupionis and Georgios Giannopoulos, “A Fault Diagnosis System For Interdependent Critical Infrastructures Based On HMMs”, Reliability Engineering & System Safety, Elsevier (accepted, impact factor 2.048).

20. Stavros Ntalampiras, “Fault Diagnosis for Smart Grids in Pragmatic Conditions”, IEEE Transactions on Smart Grids (accepted, impact factor 3.19).

21. Stavros Ntalampiras, “A Hybrid Framework for Categorizing Sounds of Mysticete Whales”, IET Signal Processing (accepted, impact factor 0.911).

22. Stavros Ntalampiras, and Yannis Soupionis, “Gaussian Mixture Modeling for Detecting Integrity Attacks in Smart Grids”, MDPI Electronics, 2016, 5(4), 82; Special Issue Smart Grid Cyber Security (invited).

23*. Cesare Alippi, Stavros Ntalampiras, Manuel Roveri, “Model-free fault detection and isolation in large-scale cyber physical systems”, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 1, pp. 61-71, Feb. 2017.

24. Stavros Ntalampiras, “An automatic framework for predicting the emotional content of generalized sound events based on transfer learning”, The Journal of the Acoustical Society of America, vol. 141, no. 3, pp.1694-1701, 2017 (impact factor 1.572).

25. Stavros Ntalampiras, “Moving Vehicle Classification Using Wireless Acoustic Sensor Networks”, IEEE Transactions on Emerging Topics in Computational Intelligence, Special Issue on Computational Intelligence for End-to-End Audio Processing (accepted).

26. Stavros Ntalampiras, “Bird Species Identification via Transfer Learning from Music Genres”, Ecological Informatics, Elsevier (accepted, impact factor 2.020).


27. Stavros Ntalampiras and Ilyas Potamitis, “Transfer Learning for Improved Audio-based Human Activity Recognition”, Biosensors, MDPI, vol. 8, no. 3, 60, 2018 https://doi.org/10.3390/bios8030060.


28. Iraklis Rigakis, Ilyas Potamitis, Nicolaos-Alexandros Tatlas, Ioannis Livadaras and Stavros Ntalampiras, “A Multispectral Backscattered Light Recorder of Insects’ Wingbeat”, Electronics, MDPI, 2019 (impact factor 1.764).


29. F. Avanzini, A. Baratè, G. Haus, L.A. Ludovico, S. Ntalampiras, G. Presti, “Sound and Music Computing in Higher Education”, International Journal of Music Science, Technology and Art, Feb. 2019 (invited).


30. Stavros Ntalampiras and Ilyas Potamitis, “A Statistical Inference Framework for Understanding Music-Related Brain Activity”, IEEE Journal of Selected Topics in Signal Processing, Special Issue on Data Science: Machine Learning for Audio Signal Processing vol. 13, issue 2, pages 275-284, 2019 (impact factor 4.361).


31. Stavros Ntalampiras, “Automatic acoustic classification of insect species based on directed acyclic graphs", The Journal of the Acoustical Society of America, vol.145, no.6, pp. EL541-EL546, 2019 (impact factor 1.605).


32. Luca A. Ludovico, Stavros Ntalampiras, Giorgio Presti, Emanuela Prato Previde, Monica Battini, Simona Cannas, Clara Palestrini, Silvana Mattiello, “Automatic Classification of Cat Vocalizations Emitted in Different Contexts”, Animals 2019, MDPI, Special Issue on Animal Welfare, vol. 9, no. 8, 543, 2019 (impact factor 1.832).


33. Stavros Ntalampiras, “Generalized sound recognition in reverberant environments”, Journal of Audio Engineering Society, vol. 67(10), 772-781, Oct. 2019 (impact factor 0.774).


34. Stavros Ntalampiras and Ilyas Potamitis,, “A concept drift-aware DAG-based classification scheme for acoustic farm environment monitoring”, International Journal of Embedded and Real-Time Communication Systems, vol. 11, no. 1, Jan.-March 2020 (accepted, extended version of the IEEE FRUCT 2018 conference paper).


35. Stavros Ntalampiras, “Towards language-agnostic speech emotion recognition”, Journal of Audio Engineering Society, Special Issue on Sound in Immersion and Emotion, vol. 68(1/2), 7-13, Feb. 2020 (impact factor 0.774).


36. Stavros Ntalampiras, “A collaborative framework for automatic classification of respiratory sounds”, IET Signal Processing, vol. 14, no. 4, pp. 223-228, 6 2020.


37. Stavros Ntalampiras and Ilyas Potamitis, “Automatic Acoustic Identification of Respiratory Diseases”, Evolving Systems, Springer, April 2020 (invited, extended B8).


38. Stavros Ntalampiras, “Emotional Quantification of Soundscapes by Learning Between Samples”, Multimedia Tools and Applications, Springer, vol. 79, pages 30387–30395, 2020.


39. Stavros Ntalampiras, “Identification of Anomalous Phonocardiograms based on Universal Probabilistic Modeling”, IEEE Letters of the Computer Society, vol. 3, no.2, pp. 50-53, July-December 2020.


40. Emanuela Prato-Previde, Simona Cannas, Clara Palestrini, Sara Ingraffia, Monica Battini, Luca Andrea Ludovico, Stavros Ntalampiras, Giorgio Presti and Silvana Mattiello, “What's in a Meow? A Study on Human Classification and Interpretation of Domestic Cat Vocalizations”, Animals, 2020, 10(12), 2390.


41. Stavros Ntalampiras and Ilyas Potamitis, “Acoustic Detection of Unknown Bird Species and Individuals”, CAAI Transactions on Intelligence Technology (accepted).


42. Stavros Ntalampiras, “Speech emotion recognition via learning analogies”, Pattern Recognition Letters, vol. 144, April 2021, pp. 21-26.


43. Iraklis Rigakis, Ilyas Potamitis, Nicolaos-Alexandros Tatlas, Stelios Potirakis, Stavros Ntalampiras, “TreeVibes: Modern tools for global monitoring of trees against borers”, Smart Cities, MDPI, 2021, vol. 4(1), pp. 271-285.


44. Stavros Ntalampiras, “One-shot learning for acoustic diagnosis of industrial machines”, Expert Systems With Applications, vol. 178(15), Sept. 2021.