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Livio Colussi

dblp:54/3760 · DBLP profile ↗
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11ranked-venue papers
7as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 9 · 6 first-authorDatabases, data management, data science and information retrieval · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithms and data structures · 81% Approximation and online algorithms · 14% Computational complexity · 4%
Software engineering, system software, and programming languages
1 paper
Program verification · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › sequence algorithms › string algorithms
string matching
0.021991
Correctness and Efficiency of the Pattern Matching Algorithms · Inf. Comput. 1991
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990
Program verification
correctness proof
0.011991
Correctness and Efficiency of the Pattern Matching Algorithms · Inf. Comput. 1991
Algorithms and data structures › sequence algorithms
string algorithms
0.011991
Correctness and Efficiency of the Pattern Matching Algorithms · Inf. Comput. 1991
Algorithms and data structures › sequence algorithms › string algorithms › string matching
exact complexity of string matching
0.011990
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990
Approximation and online algorithms
online algorithms
0.011990
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990
Algorithms and data structures › sequence algorithms › string algorithms › string matching
online string matching
0.011990
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990
Algorithms and data structures › sequence algorithms › string algorithms
character comparison bounds
0.011990
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990
Computational complexity
lower bounds
0.011990
On the Exact Complexity of String Matching (Extended Abstract) · FOCS 1990

Methods — techniques the papers use, named apart from their topics

linear-time algorithm · 0.0character comparison analysis · 0.0
YearPublicationVenuePosition
2011 The convergence classes of Collatz function
Livio Colussi
Theor. Comput. Sci.1
1996 A Time and Space Efficient Data Structure for String Searching on Large Texts
Livio Colussi, Alessia De Col
Inf. Process. Lett.1
1996 How the Character Comparison Order Shapes the Shift Function of On-Line Pattern Matching Algorithms
Livio Colussi, Laura Toniolo
Theor. Comput. Sci.1
1995 On Termination of Constraint Logic Programs
Livio Colussi, Elena Marchiori, Massimo Marchiori
CP1
1994 On the Exact Complexity of the String Prefix-Matching Problem (Extended Abstract)
Dany Breslauer, Livio Colussi, Laura Toniolo
ESA2
1993 Tight Comparison Bounds for the String Prefix-Matching Problem
Dany Breslauer, Livio Colussi, Laura Toniolo
CPM2
1993 Tight Comparison Bounds for the String Prefix-Matching Problem
Dany Breslauer, Livio Colussi, Laura Toniolo
Inf. Process. Lett.2
1991 Proving Correctness of Logic Programs Using Axiomatic Semantics
Livio Colussi, Elena Marchiori
ICLP1
1991 Correctness and Efficiency of the Pattern Matching Algorithms
Livio Colussi
Inf. Comput.1
1990 On the Exact Complexity of String Matching (Extended Abstract)
abstract
The maximal number of character comparisons made by a linear-time string matching algorithm, given a text string of length n and a pattern string of length m over a general alphabet, is investigated. The number is denoted by c(n,m) or approximated by (1+C)n, where C is a universal constant. The subscript 'online' is added when attention is restricted to online algorithms, and the superscript '1' is added when algorithms that find only one occurrence of the pattern in the text are considered. It is well known that n>
Livio Colussi, Zvi Galil, Raffaele Giancarlo
FOCS1
1983 A Divide-and-Conquer Approach to General Context-Free Parsing
Annalisa Bossi, Nicoletta Cocco, Livio Colussi
Inf. Process. Lett.3