H. Cuesta, N. Kroher, A. Pikrakis and S. Djordjevic, "DAACI-VoDAn: Improving Vocal Detection with New Data and Methods," 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 136-140.
A. Koufopoulou, A. Papadimitriou, A. Pikrakis, M. Psarakis and D. Hely, "On the Prediction of Hardware Security Properties of HLS Designs Using Graph Neural Networks," 2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Juan-Les-Pins, France, 2023, pp. 1-6. Best paper award.
Nomikos K., Papadimitriou A., Psarakis M., Pikrakis A. and Beroulle V., "Evaluation of Hiding-based Countermeasures against Deep Learning Side Channel Attacks with Pre-trained Networks." Proceedings of the 2022 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), pp. 1-6., 2022.
Miliaresi, I., Pikrakis, A. and Poutos, K., 2022, “A Deep Multimodal Voice Pathology Classifier with Electroglottographic Signal Processing Capabilities”, Proceedings of the 7th International Conference on Frontiers of Signal Processing (ICFSP), pp. 109-113, 2022.
Giannakopoulos P., Pikrakis A., Cotronis Y., “A Deep Reinforcement Learning Approach to Audio-Based Navigation in A Multi-Speaker Environment”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 6 2021, Toronto, Canada, pp. 3475-3479.
Kritsis K., Gkiokas A., Pikrakis A., Katsouros V., “Attention-based multimodal feature fusion for dance motion generation”, Proceedings of the 23d ACM International Conference on Multimodal Interaction (ACM ICMI), Oct. 18, 2021, Montreal, Canada, pp. 763-767.
Kroher, Nadine, Aggelos Pikrakis, Simon White, and Joe Lyske. "MXX@ FinSim3-An LSTM–based approach with custom word embeddings for hypernym detection in financial texts." In Proceedings of the Third Workshop on Financial Technology and Natural Language Processing, pp. 36-39. 2021.
Miliaresi I., Poutos K., Pikrakis A., “Combining acoustic features and medical data in deep learning networks for voice pathology classification”, Proceedings of the 28th European Signal Processing Conference (EUSIPCO), Jan. 18, 2021, pp. 1190-1194.
Giannakopoulos P., Pikrakis A., Cotronis Y., “Neural Discrete Abstraction of High-Dimensional Spaces: A Case Study In Reinforcement Learning”, Proceedings of the 28th European Signal Processing Conference (EUSIPCO), Jan 18, 2021, pp. 1517-1521.
Tampakis P., Chondrodima E., Pikrakis A., Theodoridis Y., Pristouris K., Nakos H., Petra E., Dalamagas T., Kandiros A., Markakis G., Maina I., “Sea area monitoring and analysis of fishing vessels activity: The i4sea big data platform”, Proceedings of the 21st IEEE International Conference on Mobile Data Management (MDM), June 30, 2020 (pp. 275-280).
Giannakopoulos P., Pikrakis A., Cotronis Y., “Directed Exploration Via Learnable Probability Distribution for Random Action Selection”, Proceedings of the 2020 IEEE International Conference on Multimedia and Expo (ICME), July 2020.
Salihu A., Schwarz S., Pikrakis A., Rupp M., “Low-dimensional representation learning for wireless CSI-based localisation”, Proceedings of the 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct. 2020.
Kritsis K., Kaliakatsos-Papakostas M., Katsouros V., Pikrakis A., “Deep convolutional and lstm neural network architectures on leap motion hand tracking data sequences”, Proceedings of the 27th European Signal Processing Conference (EUSIPCO), Sep. 2, 2019, A Coruna, Spain .
Kritsis, K., Gkiokas, A., Kaliakatsos-Papakostas, M., Katsouros, V., Pikrakis, A., “Deployment of LSTMs for Real-Time Hand Gesture Interaction of 3D Virtual Music Instruments with a Leap Motion Sensor”, Proceedings of the 15th Sound and Music Computing Conference (SMC-2018), 4-7 July 2018, Limassol, Cyprus.
de Valk, R., Volk, A., Holzapfel, A., Pikrakis, A., Kroher, N. and Six, J., “MIRchiving: Challenges and opportunities of connecting MIR research and digital music archives”, Proceedings of the 4th International workshop on Digital Libraries for Musicology, 2017, ACM.
Karamanolakis, I., Iosif, E., Zlatintsi, A., Pikrakis, A., Potamianos, A., “Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement”, Proceedings of the Workshop on Multimodal processing, modeling and learning approaches for human-computer/robot interaction, satellite event of EUSIPCO-2017, Kos, Greece.
Pikrakis, A., Kopsinis, Y., Kroher, N. and Diaz-Banez, J. M., “Unsupervised singing voice detection using dictionary learning”, Proceedings of the 24th European Signal Processing Conference (EUSIPCO), 2016, pp. 1212-1216, Budapest, Hungary.
Karamanolakis, G., Iosif, E., Zlatintsi, A., Pikrakis, A., and Potamianos, A., “Audio-based Distributional Representations of Meaning Using a Fusion of Feature Encodings”, Proceedings of Interspeech 2016, pp. 3658—3662, San Francisco, USA.
Kroher, N., Pikrakis, A., Moreno, J., & Diaz-Banez, J. M. (2015, August), “Discovery of repeated vocal patterns in polyphonic audio: A case study on flamenco music”, Proceedings of the 23rd European Signal Processing Conference (EUSIPCO), pp. 41-45, 2015, Nice, France.
Pikrakis, A., Kopsinis, Y., Chouvardas, S., and Theodoridis, S., “Pattern Classification Formulated as a Missing Data Task: The Audio Genre Classification Case”, Proceedings of the 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2026-2030, 2015, Brisbane, Queensland, Australia.
Pikrakis, A., and Sergios Theodoridis. "Speech-music discrimination: A deep learning perspective", Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), pp. 616-620, 2014, Lisbon, Portugal.
Sturm, B., Kereliuk, C. and Pikrakis, A., “A closer look at deep learning neural networks with low-level spectral periodicity features”, Proceedings of the 4th International Workshop on Cognitive Information Processing (CIP), pp. 1-6, 2014, Copenhagen, Denmark.
Pikrakis, A., “A deep learning approach to rhythm modeling with applications”, 6th International Workshop on Machine Learning and Music (ΜML 2013,), held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), Prague, Czech Republic, September 23, 2013.
Fouloulis, T., Pikrakis, A., and Emilios Cambouropoulos, “Traditional asymmetric rhythms: a refined model of meter induction based on asymmetric meter templates”, Proceedings of the 3d International Workshop on Folk Music Analysis (FMA 2013), June 6-7, 2013, Amsterdam, Netherlands.
Fouloulis, T., Pikrakis, A., and Emilios Cambouropoulos, “Asymmetric beat/tactus: Investigating the performance of beat-tracking systems on traditional asymmetric rhythms”, Proceedings of the 12th International Conference of Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music, July 23-28, 2012, Thessaloniki, Greece.
Pikrakis, A., Gómez, F., Oramas, S., Díaz-Báñez, J. M., Mora, J., Escobar-Borrego, F., Gómez, E., Salamon, J., “Tracking Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings”, Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR), October 8-12, 2012, Porto, Portugal.
Psarakis, M., Pikrakis, A., Dendrinos, G., “FPGA-based Acceleration for Tracking Audio Effects in Movies”, Proceedings of the 20th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 85-92, April 29 – May 1, 2012, Toronto, Canada.
Pikrakis, A. “Audio thumbnailing in video sharing sites”, Proceedings of the 20th European Signal Processing Conference (EUSIPCO), pp. 1284-1288, 27-31 August, 2012, Bucharest, Romania.
Gómez, F., Pikrakis, A., Mora, J., Dıaz-Bánez, J. M., Gómez, E., & Escobar, F., “Automatic detection of ornamentation in flamenco”, Proceedings of the Fourth International Workshop on Machine Learning and Music (MML, satellite workshop of the Neural Information Processing Systems conference (NIPS 2011)), December 16-17, 2011, Sierra Nevada, Spain.
Giannakopoulos, T., Pikrakis, A., Theodoridis, S., “A multimodal approach to violence detection in video sharing sites”, Proceedings of the 20th IAPR International Conference on Pattern Recognition (ICPR), pp. 3244-3247, August 23-26, 2010, Istanbul, Turkey.
Giannakopoulos, T., Pikrakis, A., Theodoridis, S., “A dimensional approach to emotion recognition of speech from movies”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2009), pp. 65-68, April 19-24, 2009, Taiwan, Taipei, 2009.
A. Pikrakis and S. Theodoridis, “Adaptive Structural Analysis of Music Recordings”, Proceedings of the 17th European Signal Processing Conference (EUSIPCO), August 24-28, 2009, Glasgow, Scotland.
Giannakopoulos, T., Pikrakis, A., and Theodoridis, S., “Music tracking in audio streams from movies”, Proceedings of the 2008 International Workshop on Multimedia Signal Processing Workshop (IEEE MMSP), pp. 950-955, October 8-10, 2008, Cairns, Queensland, Australia.
Giannakopoulos, T., Pikrakis, A., and Theodoridis, S., “A novel efficient approach for audio segmentation”, Proceedings of the 19th IAPR International Conference on Pattern Recognition (ICPR), December 8-11, 2008, Florida, USA.
Pikrakis, A., Giannakopoulos, T., and Theodoridis, S., “Gunshot detection in audio streams from movies by means of dynamic programming and Bayesian Networks”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2008), March 30 – April 4, Las Vegas, USA.
Giannakopoulos, T., Pikrakis, A., and Theodoridis, S., “A multi-class audio classification method with respect to violent content in movies using Bayesian Networks”, Proceedings of the 2007 International Workshop on Multimedia Signal Processing Workshop (IEEE MMSP), October 1-3, 2007, Chania, Greece.
Antonopoulos, I., Pikrakis, A., and Theodoridis, S., “Locating rhythmic patterns in music recordings using Hidden Markov Models”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Honolulu, Hawaii, USA, April 15-20, 2007.
Pikrakis, A., and Theodoridis, S., “An Application of Empirical Mode Decomposition on Tempo Induction from Music Recordings”, Proceedings of the 2007 International Conference on Music Information Retrieval and Related Activities (ISMIR 2007), September 23-27, 2007, Vienna, Austria, pp. 301-304.
Antonopoulos, I., Pikrakis, A., Theodoridis, S., Cornelis, O., Moelants, D., and Leman, M., “Music retrieval by rhythmic similarity applied on greek and african traditional music”, Proceedings of the 2007 International Conference on Music Information Retrieval and Related Activities (ISMIR 2007), pp. 297-300, September 23-27, 2007, Vienna, Austria.
Pikrakis, A., Giannakopoulos, T., and Theodoridis, S., “A dynamic programming approach to speech/music discrimination of radio recordings”, Proceedings of the 15th European Signal Processing Conference (EUSIPCO), September 3-7, 2007, Poznan, Poland.
Pavlidis, G., Tsiafakis, D, Arnaoutoglou, F., Balla, K., Chamzas, C., and Pikrakis, A., “Musical Universe”, Proceedings of the Third International Conference of Museology & Annual Conference of AVICOM, June 5 – 9, 2006, Mytilene, Greece.
Pikrakis, A., Giannakopoulos, T., and Theodoridis, S., “A computationally efficient speech/music discriminator for radio recordings”, Proceedings of the 2006 International Conference on Music Information Retrieval and Related Activities (ISMIR 2006), 8-12 October 2006, Victoria BC, Canada.
Pikrakis, A., Giannakopoulos, T., and Theodoridis, S., “Speech/Music Discrimination for radio broadcasts using a hybrid HMM-Bayesian Network architecture”, Proceedings of the 14th European Signal Processing Conference (EUSIPCO 2006), September 2006, Florence, Italy.
Giannakopoulos, T., Pikrakis, A., and Theodoridis, S., “A Speech/music Discriminator for Radio Recordings Using Bayesian Networks”, Proceedings of the 2006 International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), May 14-19, 2006, Toulouse, France.
Pikrakis, A., and Theodoridis, S., “Melody Spotting in Raw Audio Recordings using Variable Duration Hidden Markov Models”, Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), September 2005, Antalya, Turkey.
Pikrakis, A., and Theodoridis, S., “A novel HMM approach to Melody Spotting in Raw Audio Recordings”, Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR 2005), September 2005, London, UK.
Pikrakis, A., Theodoridis, S., and Kamarotos, D., “Classification of musical patterns using variable duration Hidden Markov Models”, Proceedings of the ΧΙI European Signal Processing Conference (EUSIPCO2004), September 2004, Vienna, Austria.
Pikrakis, A., Antonopoulos, J., and Theodoridis, S., “Music meter and tempo tracking from raw polyphonic audio”, Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR 2004), October 2004, Barcelona, Spain.
Pikrakis, A., Theodoridis, S., and Kamarotos, D., “Recognition of Isolated Musical Patterns using Hidden Markov Models”, Lecture Notes in Computer Science and Artificial Intelligence, LNCS/LNAI 2445, Springer Verlag, pp. 133-143, 2002. Πρόκειται για ανατύπωση της ομότιτλης εργασίας από τα πρακτικά του συνεδρίου: Second International Conference on Music and Artificial Intelligence (ICMAI), September 2002, Edinburgh, Scotland, UK.
Pikrakis, A., Theodoridis, S., Kamarotos, D., “Recognition of Isolated Musical Patterns using Context Dependent Dynamic Time Warping”, Proceedings of the ΧΙ European Signal Processing Conference (EUSIPCO), September 2002, Toulouse, France.
Pikrakis, A., Theodoridis, S., Kamarotos, D., “Recognition of Isolated Musical Patterns using Discrete observation Hidden Markov Models”, Proceedings of the ΙΧ European Signal Processing Conference (EUSIPCO), September 1998, Rhodos, Greece.
De Roure, D., Hall, W., Reich, S., Pikrakis, A., Hill, G., and Stairmand, M., “An open architecture for supporting collaboration on the web”, Proceedings of the WETICE '98-IEEE Seventh International Workshop on Enabling Technologies Infrastructure for Collaborative Enterprises, June 1998, Stanford University, California, USA. Citations: 22.
Pikrakis, A., Bitsikas, T., Sfakianakis, S., Hatzopoulos, M., De Roure, D., Hall, W., Reich, S., Hill, G., and Stairmand, M., “MEMOIR - software agents for finding similar users by trails”, Proceedings of the Third International Conference and Exhibition on the Practical Application of Intelligent Agents and Multi-Agents (PAAM98), pp. 453-466, March 23-25, London, UK. (Mar. 1998).
Pikrakis, A., Theodoridis, S., Kamarotos, D., “Recognition of Isolated Musical Patterns in the Context of Greek Traditional Music Using Dynamic Time Warping Techniques”, Proceedings of the International Computer Music Conference (ICMC 97), Thessaloniki, Greece, 1997.
Pikrakis, A., Theodoridis, S., and Kamarotos, D., “Recognition of Isolated Musical Patterns in the Context of Greek Traditional Music”, Proceedings of the IEEE International Conference on Electronics Circuits and Systems (ICECS), Rhodos, Greece, 1996.
Sirmakessis, S., Panagopoulou, G., Margioulas, V., and Pikrakis, A., "Compression algorithms for GIS applications", Proceedings of the EGIS/MARI' 94 (Fifth European Conference and Exhibition on Geographical Information Systems), Vol.1, pp.344-351, 1994.