[1]   Christophe Cerisara. Quelques contributions en reconnaissance automatique de la parole robuste, March 2010. Habilitation à diriger des recherches de l’Université Henri Poincaré, Nancy 1.

[2]   Christophe Cerisara. Contribution de l’approche Multi-Bandes à la reconnaissance automatique de la parole. PhD thesis, Institut National Polytechnique de Lorraine, LORIA, Nancy, France, September 1999.

[3]   J.-P. Haton, C. Cerisara, D. Fohr, Y. Laprie, and K. Smaïli. Reconnaissance automatique de la parole : du signal à son interprétation. Dunod, May 2006.

[4]   C. Cerisara and Y. Haradji. Informatique diffuse, chapter Nouvelles formes d’interaction homme-machine pour l’informatique diffuse. OFTA, May 2007.

[5]   G. Georgantas, V. Issarny, and C. Cerisara. Ambient Intelligence, Wireless Networking, and Ubiquitous Computing, chapter Dynamic Synthesis of Natural Human-Machine Interfaces in Ambient Intelligence Environments. Artech House, July 2006.

[6]   Christophe Cerisara. Computational Models of Speech Pattern Processing, chapter Dealing With Loss of Synchronism in Multi-Band Continuous Speech Recognition Systems. NATO ASI Series F, 1999.

[7]   Christophe Cerisara, Pavel Král, and Ladislav Lenc. On the effects of using word2vec representations in neural networks for dialogue act recognition. Computer Speech & Language, 47 :175 – 193, 2018. doi: https://doi.org/10.1016/j.csl.2017.07.009.

[8]   P. Kral and C. Cerisara. Automatic dialogue act recognition with syntactic features. Language Resources and Evaluation, 48(3) :419–441, 2014.

[9]   P. Kral and C. Cerisara. Dialogue act recognition approaches. Computing and Informatics, 29(2) :227–250, 2010.

[10]   C. Cerisara. Automatic discovery of topics and acoustic morphemes from speech. Computer Speech and Language, 23(2) :220–239, April 2009.

[11]   S. Demange, C. Cerisara, and J.-P. Haton. Missing data mask estimation with frequency and temporal dependencies. Computer Speech and Language, 23(1) :25–41, 2009.

[12]   C. Cerisara, S. Demange, and J.-P. Haton. On noise masking for automatic missing data speech recognition : a survey and discussion. Computer Speech and Language, 21(3) :443–457, July 2007.

[13]   P. Král, C. Cerisara, and J. Klečková. Lexical structure for dialogue act recognition. Journal of Multimedia, 2(3) :1–8, June 2007.

[14]   C. Cerisara, L. Rigazio, and J.-C. Junqua. α-jacobian environmental adaptation. Speech Communication, 42(1) :25–41, January 2004. Special Issue on Adaptation Methods for Automatic Speech Recognition.

[15]   Christophe Cerisara and Dominique Fohr. Multi-Band automatic speech recognition. Computer Speech and Language, 15(2) :151–174, April 2001.

[16]   Christophe Cerisara and Alfredo Cuzzocrea. Unsupervised Risk for Privacy. In IEEE BigData, Special Session on Privacy and Security of Big Data, Orlando, United States, December 2021. URL : https://hal.archives-ouvertes.fr/hal-03407454.

[17]   Paul Caillon and Christophe Cerisara. Growing neural networks achieve flatter minima. In Igor Farkaš, Paolo Masulli, Sebastian Otte, and Stefan Wermter, editors, Artificial Neural Networks and Machine Learning – ICANN 2021, pages 222–234, Cham, 2021. Springer International Publishing.

[18]   A. Chaoub, A. Voisin, C. Cerisara, and B. Iung. Learning representations with end-to-end models for improved remaining useful life prognostic. In PHM Society European Conference, volume 6, 2021. URL : https://hal.archives-ouvertes.fr/hal-03247997.

[19]   Christophe Cerisara, Paul Caillon, and Guillaume Le Berre. Unsupervised post-tuning of deep neural networks. In Proc. IJCNN, Proceedings of the 2021 International Joint Conference on Neural Networks, Virtual Event, United States, July 2021. URL : https://hal.archives-ouvertes.fr/hal-02022062.

[20]   Guillaume Le Berre and Christophe Cerisara. Seq-to-NSeq model for multi-summary generation. In ESANN 2020, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, October 2020. URL : https://hal.archives-ouvertes.fr/hal-02902734.

[21]   Hoa T Le, Christophe Cerisara, and Claire Gardent. Quality of syntactic implication of RL-based sentence summarization. In AAAI Workshop on Engineering Dependable and Secure Machine Learning Systems 2020, EDSMLS, New York, United States, February 2020. URL : https://hal.archives-ouvertes.fr/hal-02883327.

[22]   Hoa T Le, Christophe Cerisara, and Claire Gardent. RL extraction of syntax-based chunks for sentence compression. In ICANN 2019, Munich, Germany, September 2019. URL : https://hal.archives-ouvertes.fr/hal-02323821.

[23]   Hubert Nourtel, Christophe Cerisara, and Samuel Cruz-Lara. Deep unsupervised system log monitoring. In PROFES 2019 - 20th International Conference on Product-Focused Software Process Improvement, Barcelona, Spain, November 2019. URL : https://hal.archives-ouvertes.fr/hal-02295951.

[24]   Jiří Martínek, Pavel Kral, Ladislav Lenc, and Christophe Cerisara. Multi-Lingual Dialogue Act Recognition with Deep Learning Methods. In Proc. Interspeech, Graz, Austria, September 2019. URL : https://hal.archives-ouvertes.fr/hal-02319818, doi: 10.21437/Interspeech.2019-1691.

[25]   Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, and Hoa T Le. Multi-task dialog act and sentiment recognition on Mastodon. In COLING, Santa Fe, United States, August 2018. URL : https://hal.archives-ouvertes.fr/hal-01838323.

[26]    Hoa T. Le, Christophe Cerisara, and Alexandre Denis. Do Convolutional Networks need to be Deep for Text Classification ? In AAAI Workshop on Affective Content Analysis , New Orleans, United States, February 2018. URL : https://hal.archives-ouvertes.fr/hal-01690601.

[27]   Guillaume Serrière, Christophe Cerisara, Dominique Fohr, and Odile Mella. Weakly-supervised text-to-speech alignment confidence measure. In International Conference on Computational Linguistics (COLING), Osaka, Japan, December 2016. URL : https://hal.archives-ouvertes.fr/hal-01378355.

[28]   Bikash Gyawali, Claire Gardent, and Christophe Cerisara. Automatic Verbalisation of Biological Events. In International Workshop on Definitions in Ontologies (IWOOD 2015), Lisbon, Portugal, July 2015. URL : https://hal.inria.fr/hal-01214569.

[29]   Bikash Gyawali, Claire Gardent, and Christophe Cerisara. A Domain Agnostic Approach to Verbalizing n-ary Events without Parallel Corpora. In Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), pages 18–27, Brighton, United Kingdom, September 2015. URL : https://hal.inria.fr/hal-01207155.

[30]   Lina Maria Rojas Barahona and Christophe Cerisara. Weakly supervised discriminative training of linear models for Natural Language Processing. In 3rd International Conference on Statistical Language and Speech Processing (SLSP), Budapest, Hungary, November 2015. URL : https://hal.archives-ouvertes.fr/hal-01184849.

[31]   Lina Maria Rojas Barahona and Christophe Cerisara. Enhanced discriminative models with tree kernels and unsupervised training for entity detection. In 6th. International Conference on Information Systems & Economic Intelligence (SIIE), Hammamet, Tunisia, February 2015. URL : https://hal.archives-ouvertes.fr/hal-01184847.

[32]   Pavel Kral, Ladislav Lenc, and Christophe Cerisara. Semantic Features for Dialogue Act Recognition. In 3rd International Conference on Statistical Language and Speech Processing (SLSP), Budapest, Hungary, November 2015. URL : https://hal.archives-ouvertes.fr/hal-01256301.

[33]   Christophe Cerisara. Semi-supervised experiments at LORIA for the SPMRL 2014 Shared Task. In Proc. of the Shared Task on Statistical Parsing of Morphologically Rich Languages, Dublin, Ireland, August 2014. URL : https://hal.archives-ouvertes.fr/hal-01109886.

[34]   L. M. Rojas Barahona and C. Cerisara. Bayesian inverse reinforcement learning for modeling conversational agents in a virtual environment. In Proc. conf. on Intelligent Text Processing and Computational Linguistics, Kathmandu, Nepal, April 2014.

[35]   A. Lorenzo and C. Cerisara. Semi-supervised srl system with bayesian inference. In Proc. conf. on Intelligent Text Processing and Computational Linguistics, Kathmandu, Nepal, April 2014.

[36]   F. Bimbot, C. Cerisara, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, and P. Perrier. Proceedings of the 14th annual conference of the international speech communication association (interspeech). In Proc. Interspeech, Lyon, France, August 2013.

[37]   C. Cerisara, A. Lorenzo, and P. Kral. Weakly supervised parsing with rules. In Proc. Interspeech, pages 2192–2196, Lyon, France, August 2013.

[38]   A. Lorenzo, L. M. Rojas Barahona, and C. Cerisara. Unsupervised structured semantic inference for spoken dialog reservation tasks. In Proc. SIGDIAL Meeting on Discourse and Dialogue, pages 12–20, Metz, France, August 2013.

[39]   C. Cerisara and A. Lorenzo. Mixed probabilistic and deterministic dependency parsing. In Proc. Interspeech, page 4, Portland, Oregon, August 2012.

[40]   A. Lorenzo and C. Cerisara. Unsupervised frame based Semantic Role Induction : application to French and English. In Proceedings of the ACL 2012 Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages, pages 30–35, Jeju, Republic of Korea, July 2012. URL : http://www.aclweb.org/anthology/W12-3404.

[41]   C. Cerisara and C. Gardent. The JSafran platform for semi-automatic speech processing. In Proc. Interspeech, page 4, Firenze, Italy, August 2011.

[42]   C. Cerisara, P. Král, and C. Gardent. Commas recovery with syntactic features in French and in Czech. In Proc. Interspeech, page 4, Firenze, Italy, August 2011.

[43]   C. Gillot and C. Cerisara. Similarity language model. In Proc. Interspeech, page 4, Firenze, Italy, August 2011.

[44]   C. Gardent and C. Cerisara. Semi-automatic semantic pre-annotation for French. In Proc. Intl Workshop on Treebanks and Linguistic Theories (TLT), Tartu, Estonia, December 2010.

[45]   C. Cerisara, C. Gardent, and C. Anderson. Building and exploiting a dependency treebank for French radio broadcasts. In Proc. Intl Workshop on Treebanks and Linguistic Theories (TLT), Tartu, Estonia, December 2010.

[46]   F. Tantini, C. Cerisara, and C. Gardent. Memory-based active learning for French broadcast news. In Proc. Interspeech, pages 1377–1380, Tokyo, Japan, September 2010.

[47]   C. Gillot, C. Cerisara, D. Langlois, and J.-P. Haton. Similar n-gram language model. In Proc. Interspeech, pages 1824–1827, Tokyo, Japan, September 2010.

[48]   C. Cerisara, O. Mella, and D. Fohr. Jtrans, an open-source software for semi-automatic text-to-speech alignment. In Proc. Interspeech, Brighton, UK, September 2009.

[49]   P. Král, T. Pavelka, and C. Cerisara. Evaluation of dialogue act recognition approaches. In Proc. IEEE Workshop on Machine Learning for Signal Processing, Cancun, Mexico, October 2008.

[50]   C. Cerisara. Exploiting confidence measures for missing data speech recognition. In Proc. Acoustics, Paris, July 2008.

[51]   P. Král, C. Cerisara, and J. Klečková. Importance of prosody for dialogue acts recognition. In Proc. SPECOM, Moscow, Russia, October 2007.

[52]   S. Demange, C. Cerisara, and J.-P. Haton. Accurate marginalization range for missing data recognition. In Proc. Interspeech, August 2007.

[53]   P. Král, C. Cerisara, and J. Klečková. Confidence measures for semi-automatic labelling of dialog acts. In Proc. ICASSP, pages 153–156, Honolulu, Hawaii, USA, April 2007.

[54]   Sébastien Demange, Christophe Cerisara, and Jean-Paul Haton. Missing data mask models with global frequency and temporal constraints. In Proc. Interspeech, Pittsburgh, Pennsylvania USA, September 2006. URL : http://hal.inria.fr/inria-00103574/en/.

[55]   Pavel Král, Jana Klečková, and Christophe Cerisara. Automatic dialog acts recognition based on words clusters. In 9th Western Pacific Acoustics Conference - WESPAC IX 2006, page 6 p. The Acoustical Society of Korea, June 2006. URL : http://hal.ccsd.cnrs.fr/ccsd-00086310/en/.

[56]   C. Cerisara and K. Daoudi. Evaluation of the SPACE denoising algorithm on aurora2. In Proc. ICASSP, Toulouse, May 2006.

[57]   S. Demange, C. Cerisara, and J.-P. Haton. Mask estimation for missing data recognition using background noise sniffing. In Proc. ICASSP, Toulouse, May 2006.

[58]   Pavel Král, Christophe Cerisara, and Jana Klečková. Automatic dialog acts recognition based on sentence structure. In IEEE, editor, Proc. ICASSP, pages 61–64. IEEE, May 2006. URL : http://hal.ccsd.cnrs.fr/ccsd-00078245/en/.

[59]   Pavel Král, Christophe Cerisara, Jana Klečková, and Tomas Pavelka. Sentence structure for dialog act recognition in czech. In 2nd IEEE International Conference on Information et Communication Technologies : from Theory to Applications - ICTTA’06. Syrian Computer Society, SCS, April 2006. URL : http://hal.ccsd.cnrs.fr/ccsd-00078247/en/.

[60]   K. Daoudi and C. Cerisara. An improved version of the SPACE algorithm for noise robust speech recognition. In Proc. IEEE-EURASIP ISCCSP, Marrakech, Morroco, March 2006.

[61]   Pavel Král, Christophe Cerisara, and Jana Klečková. Combination of classifiers for automatic recognition of dialog acts. In Proc. Interspeech, pages 825–828, 2005. URL : http://hal.ccsd.cnrs.fr/ccsd-00013940/en/.

[62]   Pavel Král, Jana Klečková, and Christophe Cerisara. Sentence modality recognition in French based on prosody. In VI. International Conference on Enformatika, Systems Sciences and Engineering - ESSE 2005, pages 185–188, 2005. URL : http://hal.ccsd.cnrs.fr/ccsd-00013968/en/.

[63]   K. Daoudi and C. Cerisara. The MAP-SPACE denoising algorithm for noise robust speech recognition. In Proc. IEEE ASRU Workshop, Cancuun, Mexique, 2005.

[64]   Pavel Král, Jana Klečková, and Christophe Cerisara. Analysis of importance of the prosodic features for automatic sentence modality recognition in French in real conditions. In Proc. ICECS, volume 3, pages 1820–1824, Crete, Greece, November 2004. URL : http://hal.inria.fr/inria-00100102/en/.

[65]   I. Illina, D. Fohr, O. Mella, and C. Cerisara. The automatic news transcription system : Ants, some real time experiments. In Proc. ICSLP, Jeju island, Korea, October 2004.

[66]   D. Fohr, O. Mella, I. Illina, and C. Cerisara. Experiments on the accuracy of phone models and liaison processing in a French broadcast news transcription system. In Proc. ICSLP, Jeju island, Korea, October 2004.

[67]   C. Cerisara, D. Fohr, O. Mella, and I. Illina. Exploiting models intrinsic robustness for noisy speech recognition. In Proc. ICSLP, Jeju island, Korea, October 2004.

[68]   C. Cerisara and I. Illina. Robust speech recognition to non-stationary noise based on model-driven approaches. In EUROSPEECH’2003, Geneva, Switzerland, September 2003.

[69]   C. Cerisara. Towards missing data recognition with cepstral features. In EUROSPEECH’2003, Geneva, Switzerland, September 2003.

[70]   Christophe Cerisara and Dominique Fohr. Fast channel and noise compensation in the spectral domain. In EUSIPCO 2002, Toulouse, France, September 2002.

[71]   Christophe Cerisara, Jean-Claude Junqua, and Luca Rigazio. Dynamic estimation of a noise over estimation factor for Jacobian-based adaptation. In ICASSP 2002, Orlando, Floride, May 2002.

[72]   Christophe Cerisara, Luca Rigazio, Robert Boman, and Jean-Claude Junqua. Environmental adaptation based on first order approximation. In ICASSP 2001, Salt lake City, USA, May 2001. URL : http://www.loria.fr/gezoncourt/BW_publication/2001/A01-R-227/A01-R-227.ps.

[73]   Christophe Cerisara, Dominique Fohr, Irina Illina, Fabrice Lauri, and Odile Mella. Comparison of different methods for noise adaptation in a HMM-based speech recognition system . In International Congress on Acoustics, Italy, Rome, September 2001.

[74]   Christophe Cerisara and Khalid Daoudi. Modeling dependency between regression classes in MLLR using multiscale autoregressive models. In Workshop on adaptation methods for speech recognition, Sophia-Antipolis, France, August 2001.

[75]   J.-C. Junqua, C. Cerisara, L. Rigazio, and D. Kryze. Environment-adaptive algorithms for robust speech recognition. In Workshop on Hands-Free Speech Communication, Kyoto, Japan, April 2001.

[76]   Christophe Cerisara, Luca Rigazio, Robert Boman, and Jean-Claude Junqua. Transformation of Jacobian matrices for noisy speech recognition. In Proc. ICSLP, volume 1, pages 369–372, Beijing, China, October 2000.

[77]   Christophe Cerisara, Dominique Fohr, and Jean-Paul Haton. Asynchrony in Multi-Band Speech Recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP’2000, Istanbul, June 2000. URL : http://www.loria.fr/gezoncourt/BW_publication/2000/A00-R-062/A00-R-062.ps.

[78]   Robert Boman, Christophe Cerisara, Luca Rigazio, and Jean-Claude Junqua. Jacobian adaptation and likelihood computation for speech recognition on inexpensive integer processors. In ICSPAT, Dallas, Texas, October 2000.

[79]   Jean-Paul Haton, Christophe Cerisara, and Dominique Fohr. Improvement of Multi-Band Speech Recognition. In SPECOM’99, 1999.

[80]   Christophe Cerisara, Dominique Fohr, and Jean-Paul Haton. Robust behavior of multi-band paradigm. In Robust Methods for Speech Recognition in Adverse Conditions, Tampere. Nokia, COST249 and IEEE, May 1999. URL : http://www.loria.fr/gezoncourt/BW_publication/1999/99-R-325/99-R-325.ps.

[81]   Christophe Cerisara, Jean-Paul Haton, and Dominique Fohr. Towards a Global Optimization Scheme for Multi-Band Speech Recognition. In EUROSPEECH’99, Prague, September 1999. URL : http://www.loria.fr/gezoncourt/BW_publication/1999/99-R-326/99-R-326.ps.

[82]   Christophe Cerisara, Jean-Paul Haton, Jean-François Mari, and Dominique Fohr. A Recombination Model for Multi-Band Speech Recognition. In ICASSP’98, Seattle, USA, May 1998. URL : http://www.loria.fr/gezoncourt/BW_publication/1998/98-R-093/98-R-093.ps.

[83]   Christophe Cerisara, Jean-Paul Haton, Jean-Francois Mari, and Dominique Fohr. Multi-Band Continuous Speech Recognition. In EUROSPEECH, 1997. URL : http://www.loria.fr/gezoncourt/BW_publication/1997/97-R-076/97-R-076.ps.

[84]   C. Anderson, C. Cerisara, and C. Gardent. Vers la détection des dislocations à gauche dans les transcriptions automatiques du français parlé. In Proc. TALN, page 6, Montpellier, June 2010. ATALA.

[85]   C. Cerisara and C. Gardent. Analyse syntaxique du français parlé. In Workshop ATALA, Paris, October 2009.

[86]   Armelle Brun, Christophe Cerisara, Dominique Fohr, Irina Illina, David Langlois, Odile Mella, and Kamel Smaïli. Ants  : le système de transcription automatique du loria. In Journées d’Études sur la Parole, Fès, Maroc, April 2004.

[87]   D. Fohr, O. Mella, I. Illina, F. Lauri, C. Cerisara, and C. Antoine. Reconnaissance de la parole pour des locuteurs non natifs en présence de bruit. In Journées d’Études sur la Parole, Nancy, France, 2002.

[88]   C. Cerisara, Mo. Afify, and J.-P. Haton. étude de la recombinaison de plusieurs classifieurs appliquée à deux tâches de reconnaissance de la parole. In Journées d’Études sur la Parole, Martigny, Suisse, June 1998.

[89]   C. Cerisara, Y. Gong, and J.-P. Haton. Reconnaissance de la parole continue par le modèle STM polynomial. In Journées d’Études sur la Parole, Avignon, France, 1996.

[90]   Hoa T Le, Christophe Cerisara, and Alexandre Denis. Report Transfer Learning of Deep Convolutional Network on Twitter. Research report, Loria & Inria Grand Est, July 2017. URL : https://hal.archives-ouvertes.fr/hal-01562179.

[91]   D. Sacchetti, R. Chibout, V. Issarny, C. Cerisara, and F. Landragin. Seamless access to mobile services for the mobile user. Demonstration, ASE’04 Conference, September 2004.

[92]   Y. Laprie and C. Cerisara. Vers le succès en reconnaissance vocale. Inédit, la lettre d’information de l’INRIA, March 2004. Numéro spécial "Le hasard et l’observation".

[93]   D. Sacchetti, A. Talamona, V. Issarny, S. Ben Attalah, C. Cerisara, R. Chibout, and W. van Raemdonck. Ozone away environment. Film de démonstration, diffusion INRIA, 2004.