- New Book on the Evaluation of Natural and Artificial Intelligence, Cambridge University Press, just published.
- Best paper award at ECAI 2016 for the paper: Making Sense of Item Response Theory in Machine Learning. And a runner-up paper: Is Spearman's Law of Diminishing Returns (SLODR) Meaningful for Artificial Agents?
- Was on research stay at Microsoft Research Cambridge from June 4th to August 27th, 2016, working in collaboration with Katja Hofmann on Project Malmo.
- Co-organised EGPAI 2016 - Evaluating General-Purpose AI at ECAI 2016.
- Artificial Intelligence Journal paper: J Hernández-Orallo, F Martínez-Plumed, U Schmid; M Siebers; D L Dowe "Computer models solving intelligence test problems: progress and implications", 2016.
- Picking the fruits of the REFRAME Project.
- Communications of the ACM paper: S Gulwani, J Hernández-Orallo, E Kitzelmann, SH Muggleton, U Schmid, B Zorn "Inductive Programming Meets the Real World" Communications of the ACM 58 (11), 2015.
One of the great scientific challenges of this century is to understand what intelligence is and how it can be recreated. My bit is, on one hand, the evaluation and measurement of intelligent systems in general and machine learning in particular and, on the other hand, some more applied research on data science, data mining and inductive programming. However, I'm interested in many other things, and my publication profiles below can give a better account of what my research really looks like:
I also have some general tutorials and presentations:
Apart from the recent one on the Evaluation of Natural and Artificial Intelligence
, I've published several other books
on various topics.
I currently teach several courses
on data science and data mining at the master level.
I also had an undergraduate database course
for many years.
We have had projects, collaborations and visits with several companies in different areas: health, retailing, software development, automotive, ...
Recently, I've been managing two "Cátedras/Aulas de Empresa":
José Hernández-Orallo received a B.Sc. and a M.Sc. in Computer Science from UPV, partly completed at the École Nationale Supérieure de l'Électronique et de ses Applications (France), and a Ph.D. in Logic with a doctoral extraordinary prize from the University of Valencia.
His academic and research activities have spanned several areas of artificial intelligence, machine learning, data science and information systems. He has published five books and more than a hundred journal articles and conference papers on these topics. His research in the area of machine intelligence evaluation has been covered by several popular outlets, such as The Economist, New Scientist or Nature. His most recent book addresses an integrated view of the evaluation of natural and artificial intelligence (Cambridge University Press, 2017).