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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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publications
Computationally Accelerating Protein-Ligand Docking For Neglected Tropical Disease: A Study Case on Drug Repurposing For Leishmaniasis
Published in ICLR 2021 Machine Learning for Combating Pandemics Workshop, 2021
This paper is about building a language generation models to generate question which satisfy the standard of a semantic-based metric.
Recommended citation: Loic Dassi, Hassan Kane, and Ebenezer Nkwate. Computationally accelerating protein-ligand docking for neglected tropical diseases: A case study on drug repurposing for leishmaniasis. ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics, 2021. https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/60113/259fc522-d312-4c52-9438-d3257a7daa48.pdf?sequence=1
SISDH: A Model Based on SMAs and SIRs for the Simulation of the Evolution of COVID-19 in Cameroon
Published in World Journal of Engineering and Technology, 2021
This paper is about a model to simulate the evolution of COVID-19 in the Cameroonian context.
Recommended citation: Bernabe, B. , Esdras, F. , Brown, E. , Loïc, K. and Stephane, W. (2021) SISDH: A Model Based on SMAs and SIRs for the Simulation of the Evolution of COVID-19 in Cameroon. World Journal of Engineering and Technology, 9, 527-537. doi: [10.4236/wjet.2021.93035](10.4236/wjet.2021.93035). https://www.scirp.org/journal/paperinformation.aspx?paperid=111002
Semantic-Based self-Critical Training for Question Generation
Published in American Journal of Information Science and Technology, 2021
This paper is about building a language generation models to generate question which satisfy the standard of a semantic-based metric.
Recommended citation: Loïc Kwate Dassi, Semantic-Based Self-Critical Training for Question Generation, American Journal of Information Science and Technology. Volume 5, Issue 4, December 2021 , pp. 93-97. doi: 10.11648/j.ajist.20210504.12. http://www.ajist.org/article/526/10.11648.j.ajist.20210504.12
Identification of Enzymatic Active Sites with Unsupervised Language Modeling
Published in ACS Spring 2022, ELLIS Workshop for Molecule Discovery, AI for Science: Mind the Gaps Neurips Workshop, 2021
This paper is about using language modeling for enzymatic active sites recognition.
Recommended citation: Kwate Dassi L, Manica M, Probst D, Schwaller P, Nana Teukam YG, Laino T. Identification of Enzymatic Active Sites with Unsupervised Language Modeling. ChemRxiv. Cambridge: Cambridge Open Engage; 2021; This content is a preprint and has not been peer-reviewed. https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/61813dd08ac7a2b869651705/original/identification-of-enzymatic-active-sites-with-unsupervised-language-modeling.pdf
Legal-BigBird: An Adapted Long-Range Transformer for Legal Documents
Published in Black in AI Workshop NeurIPS 2021, 2021
This paper is about the fine-tuning of the linear scaling Transformer model Bigbird on legal corpora, then the resulting model as an off-the-shelf encoder for retrival task on legal court cases.
Recommended citation: Loic Kwae Dassi. Legal-BigBird: An Adapted Long-Range Transformer for Legal Documents. NeurIPS 2021 Workshop: Black in AI, 2021. https://www.researchgate.net/profile/Loic-Kwate-Dassi/publication/356930560_Legal-BigBird_An_Adapted_Long-Range_Transformer_for_Legal_Documents/links/61b5fdee63bbd9324289b54e/Legal-BigBird-An-Adapted-Long-Range-Transformer-for-Legal-Documents.pdf
talks
Identification of enzymatic active sites with unsupervised language modelling
Published:
ELLIS Reference, NeurIPS Reference The talk introduced an unsupervised approach to identify enzymatic active sites of protein in bio-catalyzed reactions using attention-based language modelling
Question Generation with Deep Reinforcement Learning for Education
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Link to the Talk The project initiated the merging of the standard language modelling task and the algorith REINFORCE for the generation of text satisfying a given metric (semantic- and syntactic-based metrics)
Legal-BigBird: An Adapted Long-Range Transformer for Legal Documents
Published:
Poster The talk introduced the fine-tuning of the linear scaling Transformer model Bigbird on legal corpora, then the resulting model as an off-the-shelf encoder for retrival task on legal court cases.
teaching
Mathematics and Physics Tutor
Undergraduate course, NASE Yaounde, Maths and Physics Departements, 2014
Rehearshal courses for freshmen having specific difficulties in understanding first- and second-year courses in Maths, Physics and Computer Science