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Dive into the research topics where Laurence Likforman Sulem is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Character recognition in Byzantine seals with deep neural networks
Rageau, T., Likforman-Sulem, L., Fiandrotti, A., Eyharabide, V., Caseau, B. & Cheynet, J. C., 1 Jun 2025, In: Digital Applications in Archaeology and Cultural Heritage. 37, e00403.Research output: Contribution to journal › Article › peer-review
Open Access -
Modeling the Interplay between Cohesion Dimensions: A Challenge for Group Affective Emergent States
Maman, L., Lehmann-Willenbrock, N., Chetouani, M., Likforman-Sulem, L. & Varni, G., 1 Jan 2024, In: IEEE Transactions on Affective Computing. 15, 3, p. 1526-1538 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Detection of Parkinson’s disease from handwriting using deep learning: a comparative study
Taleb, C., Likforman-Sulem, L., Mokbel, C. & Khachab, M., 1 Dec 2023, In: Evolutionary Intelligence. 16, 6, p. 1813-1824 12 p.Research output: Contribution to journal › Article › peer-review
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Study of historical Byzantine seal images: the BHAI project for computer-based sigillography
Eyharabide, V., Likforman-Sulem, L., Orlandi, L., Binoux, A., Rageau, T., Huang, Q., Fiandrotti, A., Caseau, B. & Bloch, I., 25 Aug 2023, HIP 2023 - Proceedings of the 2023 International Workshop on Historical Document Imaging and Processing. Association for Computing Machinery, p. 49-54 6 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Handwriting and Drawing Features for Detecting Personality Traits: An Analysis on Big Five Sub-dimensions
Esposito, A., Amorese, T., Buonanno, M., Cuciniello, M., Esposito, A. M., Faundez-Zanuy, M., Likforman-Sulem, L., Riviello, M. T., Spagnuolo, C., Troncone, A. & Cordasco, G., 1 Jan 2022, In: Acta Polytechnica Hungarica. 19, 11, p. 65-84 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Is On-Line Handwriting Gender-Sensitive? What Tells us a Combination of Statistical and Machine Learning Approaches
Likforman-Sulem, L., Cordasco, G. & Esposito, A., 1 Jan 2022, Pattern Recognition and Artificial Intelligence - 3rd International Conference, ICPRAI 2022, Proceedings. El Yacoubi, M., Granger, E., Yuen, P. C., Pal, U. & Vincent, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 287-298 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13363 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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MINCONVNETS: A NEW CLASS OF MULTIPLICATION-LESS NEURAL NETWORKS
Yang, X., Chaudhuri, S., Likforman, L. & Naviner, L., 1 Jan 2022, 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings. IEEE Computer Society, p. 881-885 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Exploiting the Interplay between Social and Task Dimensions of Cohesion to Predict its Dynamics Leveraging Social Sciences
Maman, L., Likforman-Sulem, L., Chetouani, M. & Varni, G., 18 Oct 2021, ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction. Association for Computing Machinery, Inc, p. 16-24 9 p. (ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Language-Independent Bimodal System for Early Parkinson’s Disease Detection
Taleb, C., Likforman-Sulem, L. & Mokbel, C., 1 Jan 2021, Document Analysis and Recognition - ICDAR 2021 - 16th International Conference, Proceedings. Lladós, J., Lopresti, D. & Uchida, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 397-413 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12823 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Using Valence Emotion to Predict Group Cohesion's Dynamics: Top-down and Bottom-up Approaches
Maman, L., Chetouani, M., Likforman-Sulem, L. & Varni, G., 1 Jan 2021, 2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021. Institute of Electrical and Electronics Engineers Inc., (2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review