Elpida T. Keravnou

34 papers B 6C 1Misc 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis. IEEE J. Biomed. Health Informatics Kalia Orphanou, Athena Stassopoulou, Elpida T. Keravnou
2007	J	`jnl`	Artificial Intelligence in Medicine AIME '05. Artif. Intell. Medicine Silvia Miksch, Jim Hunter, Elpida T. Keravnou
2006	J	`jnl`	Temporal representation and reasoning in medicine: Research directions and challenges. Artif. Intell. Medicine Klaus-Peter Adlassnig, Carlo Combi, Amar K. Das, Elpida T. Keravnou, Giuseppe Pozzi
2005	J	`jnl`	Artificial Intelligence in Medicine in Europe AIME'03. Artif. Intell. Medicine Michel Dojat, Elpida T. Keravnou
2005	B	`ed.`	Artificial Intelligence in Medicine, 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings AIME Silvia Miksch, Jim Hunter, Elpida T. Keravnou
2003	B	`ed.`	Artificial Intelligence in Medicine, 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings AIME Michel Dojat, Elpida T. Keravnou, Pedro Barahona
2002	J	`jnl`	Temporal constraints in clinical diagnosis. J. Intell. Fuzzy Syst. Elpida T. Keravnou
2001	J	`jnl`	AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium. Artif. Intell. Medicine Elpida T. Keravnou, Nada Lavrac
2001	J	`jnl`	Abductive Diagnosis Using Time-Objects: Criteria for the Evaluation of Solutions. Comput. Intell. Elpida T. Keravnou, John Washbrook
1999	J	`jnl`	A Multidimensional and Multigranular Model of Time for Medical Knowledge-Based Systems. J. Intell. Inf. Syst. Elpida T. Keravnou
1999	Misc	`conf`	Temporal Abductive Diagnosis. EPIA Elpida T. Keravnou, John Washbrook
1998	J	`jnl`	Intelligent Data Analysis for Medical Diagnosis: Using Machine Learning and Temporal Abstraction. AI Commun. Nada Lavrac, Blaz Zupan, Igor Kononenko, Matjaz Kukar, Elpida T. Keravnou
1998	J	`jnl`	Metareasoning and meta-level learning in a hybrid knowledge-based architecture. Artif. Intell. Medicine Eleni Christodoulou, Elpida T. Keravnou
1997	B	`ed.`	Artificial Intelligence Medicine, 6th Conference on Artificial Intelligence in Medicine in Europe, AIME'97, Grenoble, France, March 23-26, 1997, Proceedings AIME Elpida T. Keravnou, Catherine Garbay, Robert H. Baud, Jeremy C. Wyatt
1997	J	`jnl`	Integrating multiple problem solvers in knowledge-based systems. Knowl. Eng. Rev. Eleni Christodoulou, Elpida T. Keravnou
1997	B	`conf`	Meta-Level Learning in a Hybrid Knowledge-Based Architecture. AIME Eleni Christodoulou, Elpida T. Keravnou
1996	C	`conf`	Engineering time in medical knowledge-based systems through time-axes and time-objects. TIME Elpida T. Keravnou
1996	J	`jnl`	Temporal diagnostic reasoning based on time-objects. Artif. Intell. Medicine Elpida T. Keravnou
1996	J	`jnl`	Temporal reasoning in medicine. Artif. Intell. Medicine Elpida T. Keravnou
1995	—	`conf`	Introducing Computer Science Undergraduates to Principles of Programming Through a Functional Language. FPLE Elpida T. Keravnou
1995	B	`conf`	Modelling Medical Concepts as Time-Objects. AIME Elpida T. Keravnou
1993	J	`jnl`	Towards competent information acquisition interactions between an expert system and its user. Knowl. Based Syst. Elpida T. Keravnou, John Washbrook, F. Dams
1992	J	`jnl`	Background knowledge in diagnosis. Artif. Intell. Medicine Elpida T. Keravnou, F. Dams, John Washbrook, R. M. Dawood, Christine M. Hall, D. Shaw
1991	J	`jnl`	Medical temporal reasoning. Artif. Intell. Medicine Elpida T. Keravnou
1990	J	`jnl`	A temporal reasoning framework used in the diagnosis of skeletal dysplasias. Artif. Intell. Medicine Elpida T. Keravnou, John Washbrook
1990	J	`jnl`	Book reviews. Artif. Intell. Rev. David Gilmore, Geoff Cumming, Simon Ross, John Rosbottom, Elpida T. Keravnou, Tony Dodd, Madjid Merabti, G. Byron, Leonard Bolc, Ian Crookston
1990	J	`jnl`	Making deepness explicit. Artif. Intell. Medicine John Washbrook, Elpida T. Keravnou
1989	B	`conf`	A Model-Based Diagnostic Expert System for Skeletal Dysplasias. AIME Elpida T. Keravnou, John Washbrook, R. M. Dawood, Christine M. Hall, D. Shaw
1989	J	`jnl`	Deep and shallow models in medical expert systems. Artif. Intell. Medicine Elpida T. Keravnou, John Washbrook
1989	J	`jnl`	Towards a generalized model of diagnostic behaviour. Knowl. Based Syst. Elpida T. Keravnou, L. Johnson
1989	J	`jnl`	What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems. Knowl. Eng. Rev. Elpida T. Keravnou, John Washbrook
1987	J	`jnl`	Book reviews. Artif. Intell. Rev. Simon Ross, Tony Dodd, Wendy J. Milne, Mervyn Bennun, Elpida T. Keravnou, Stephen John Turner, Stephen J. Maskell, Kathryn Seifert, Chris Alphey, Yasmin Merali, Jason Cooper, Saad A. Mehdi
1987	J	`jnl`	Intelligent handling of data by integration of commonsense reasoning. Knowl. Based Syst. Elpida T. Keravnou, L. Johnson
1987	—	`conf`	NEOCRIB: An Expert Fault Finding System that Articulates the Competence of Field Engineers. Fehlertolerierende Rechensysteme Elpida T. Keravnou, L. Johnson

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.