Efficient Allocation of Marketing Resources using Dynamic Programming. - Giuliano Tirenni; Abderrahim Labbi; André Elisseeff; Cesar Berrospi (SDM, 2005)

Optimizing marketing planning and budgeting using Markov decision processes: An airline case study. - Abdel Labbi; Cesar Berrospi (IBM J. Res. Dev., 2007)

Linear-complexity relaxed word Mover's distance with GPU acceleration. - Kubilay Atasu; Thomas P. Parnell; Celestine Dünner; Manolis Sifalakis; Haralampos Pozidis; Vasileios Vasileiadis; Michail Vlachos; Cesar Berrospi; Abdel Labbi (IEEE BigData, 2017)

Robust PDF Document Conversion using Recurrent Neural Networks. - Nikolaos Livathinos; Cesar Berrospi; Maksym Lysak; Viktor Kuropiatnyk; Ahmed S. Nassar; André Carvalho; Michele Dolfi; Christoph Auer; Kasper Dinkla; Peter W. J. Staar (AAAI, 2021)

Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. - Christoph Auer; Michele Dolfi; André Carvalho; Cesar Berrospi Ramis; Peter W. J. Staar (CLOUD, 2022)

Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery. - Hoang Thanh Lam; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Víctor Valls; Gabriele Picco; Cesar Berrospi Ramis; Vanessa López (CoRR, 2023)

Knowledge Enhanced Representation Learning for Drug Discovery. - Thanh Lam Hoang; Marco Luca Sbodio; Marcos Martínez Galindo; Mykhaylo Zayats; Raúl Fernández-Díaz; Victor Valls; Gabriele Picco; Cesar Berrospi; Vanessa López (AAAI, 2024)

ESG Accountability Made Easy: DocQA at Your Service. - Lokesh Mishra; Cesar Berrospi; Kasper Dinkla; Diego Antognini; Francesco Fusco; Benedikt Bothur; Maksym Lysak; Nikolaos Livathinos; Ahmed S. Nassar; Panagiotis Vagenas; Lucas Morin; Christoph Auer; et al. (AAAI, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs. - Lokesh Mishra; Sohayl Dhibi; Yusik Kim; Cesar Berrospi Ramis; Shubham Gupta; Michele Dolfi; Peter W. J. Staar (CoRR, 2024)

Docling Technical Report. - Christoph Auer; Maksym Lysak; Ahmed S. Nassar; Michele Dolfi; Nikolaos Livathinos; Panos Vagenas; Cesar Berrospi Ramis; Matteo Omenetti; Fabian Lindlbauer; Kasper Dinkla; Lokesh Mishra; Yusik Kim; et al. (CoRR, 2024)

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. - Rafael Teixeira de Lima; Shubham Gupta; Cesar Berrospi Ramis; Lokesh Mishra; Michele Dolfi; Peter W. J. Staar; Panagiotis Vagenas (COLING (Industry), 2025)

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion. - Nikolaos Livathinos; Christoph Auer; Maksym Lysak; Ahmed Nassar; Michele Dolfi; Panos Vagenas; Cesar Berrospi Ramis; Matteo Omenetti; Kasper Dinkla; Yusik Kim; Shubham Gupta; Rafael Teixeira de Lima; et al. (CoRR, 2025)